diff --git a/.gitattributes b/.gitattributes
deleted file mode 100644
index ff4f28aed4e0c4986a9249bb26937f43e351b607..0000000000000000000000000000000000000000
--- a/.gitattributes
+++ /dev/null
@@ -1 +0,0 @@
-hpvm/test/dnn_benchmarks/model_params/**/*.bin filter=lfs diff=lfs merge=lfs -text
diff --git a/.gitignore b/.gitignore
index d2c654528dbfbcf8065eaff49f07627902f20615..605cade94d773b32c3d3c79d2340e247aad51886 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,20 +1,3 @@
-*.o
-*.so
-*.dot
-<<<<<<< HEAD
-JITTests.exports
-llvm/include/llvm/Config/config.h
-llvm/include/llvm/Config/llvm-config.h
-llvm/include/llvm/Support/DataTypes.h
-llvm/test/VISC/parboil/benchmarks/*/run
-llvm/test/VISC/parboil/benchmarks/*/build
-llvm/build
-llvm/install
-build*/
-install/
-=======
-*.pyc
-
hpvm/build/
hpvm/install/
hpvm/llvm/
@@ -22,4 +5,143 @@ hpvm/llvm-*.src.tar.xz
hpvm/llvm-*.src/
hpvm/llvm_patches/**/*.patch
->>>>>>> a9f09dd1d7c769b6e9bef9dca334a9c0761f2136
+# Below is taken from Python.gitignore: https://raw.githubusercontent.com/github/gitignore/master/Python.gitignore
+
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+# Usually these files are written by a python script from a template
+# before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+# For a library or package, you might want to ignore these files since the code is
+# intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+# However, in case of collaboration, if having platform-specific dependencies or dependencies
+# having no cross-platform support, pipenv may install dependencies that don't work, or not
+# install all needed dependencies.
+#Pipfile.lock
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
diff --git a/README.md b/README.md
index 5c37358a49b45335d04b30d13ae4caf2a6e729c8..d1a28fae2ee717a765ab80ee9eef34b1cc0cb738 100644
--- a/README.md
+++ b/README.md
@@ -31,10 +31,18 @@ The following components are required to be installed on your machine to build H
* In addition, each version of CUDA-nvcc requires GCC to be not newer than a certain version.
See [here](https://gist.github.com/ax3l/9489132) for the support matrix.
* CMake (>=3.17)
-* Python (>=3.7) with Pip
* GNU Make (>=3.79)
* OpenCL (>=1.0.0)
* CUDA (>=9.1)
+* Python (==3.6) with pip (>=20)
+
+Python must be strictly 3.6 (any subversion between 3.6.0~3.6.13).
+Alternatively, if you use Anaconda for package management,
+we provide a conda environment file that covers all Python and Python package requirements:
+
+```bash
+conda env create -n hpvm -f hpvm/env.yaml
+```
## Supported Targets
@@ -65,8 +73,8 @@ HPVM has not been tested but might work on other CPUs supported by LLVM Backend,
Checkout HPVM and go to directory `./hpvm` under project root:
```shell
-git clone --recursive -b approx_hpvm_reorg_keras --single-branch https://gitlab.engr.illinois.edu/llvm/hpvm.git
-cd hpvm/hpvm/
+git clone --recursive -b approx_hpvm_reorg --single-branch https://gitlab.engr.illinois.edu/llvm/hpvm.git
+cd hpvm/
```
HPVM needs to be able to find CUDA.
diff --git a/hpvm/CMakeLists.txt b/hpvm/CMakeLists.txt
index a882be7d0ab9468ae7e1bb66912590b0f3ed58a5..809a30cfa52e16f436dac4e22843f4c5a3add3d9 100644
--- a/hpvm/CMakeLists.txt
+++ b/hpvm/CMakeLists.txt
@@ -10,6 +10,8 @@ list(APPEND CMAKE_MODULE_PATH ${CMAKE_CURRENT_SOURCE_DIR}/cmake)
find_package(CUDNN 7 EXACT REQUIRED) # CUDNN_INCLUDE_PATH, CUDNN_LIBRARY_PATH
include_directories(./include/)
+# find_package will use the auxillary cmake/Find*.cmake we provide
+list(APPEND CMAKE_MODULE_PATH ${CMAKE_CURRENT_SOURCE_DIR}/cmake)
# Generate TENSOR_RT_PREFIX into config.h
set(TENSOR_RT_PREFIX ${CMAKE_LIBRARY_OUTPUT_DIRECTORY})
diff --git a/hpvm/cmake/TestFile.cmake b/hpvm/cmake/TestFile.cmake
new file mode 100644
index 0000000000000000000000000000000000000000..fda27adb0863507130c9be8fa0d394fce28a4655
--- /dev/null
+++ b/hpvm/cmake/TestFile.cmake
@@ -0,0 +1,97 @@
+# This file is taken from llvm-testsuite:
+# https://github.com/llvm/llvm-test-suite/blob/main/cmake/modules/TestFile.cmake
+##===- TestSuite.cmake ----------------------------------------------------===##
+#
+# Defines helper functions to create .test files that describe how to run a
+# benchmark and optionally how to prepare before running, how to verify the
+# results and how to extract metrics from the output.
+#
+##===----------------------------------------------------------------------===##
+
+# Specify a "RUN: " line to be put in a .test file. See also llvm_add_test().
+macro(llvm_test_run)
+ CMAKE_PARSE_ARGUMENTS(ARGS "" "RUN_TYPE;EXECUTABLE;WORKDIR" "" ${ARGN})
+ # If no executable is specified use $EXECUTABLE$ placeholder which will be
+ # replaced later.
+ if(NOT DEFINED ARGS_EXECUTABLE)
+ set(ARGS_EXECUTABLE "$EXECUTABLE$")
+ endif()
+ if(NOT DEFINED TESTSCRIPT)
+ set(TESTSCRIPT "" PARENT_SCOPE)
+ endif()
+ if(DEFINED ARGS_WORKDIR)
+ set(ARGS_EXECUTABLE "cd ${ARGS_WORKDIR} ; ${ARGS_EXECUTABLE}")
+ endif()
+ # ARGS_UNPARSED_ARGUMENTS is a semicolon-separated list. Change it into a
+ # whitespace-separated string.
+ string(REPLACE ";" " " JOINED_ARGUMENTS "${ARGS_UNPARSED_ARGUMENTS}")
+ if(NOT DEFINED ARGS_RUN_TYPE OR "${ARGS_RUN_TYPE}" STREQUAL "${TEST_SUITE_RUN_TYPE}")
+ set(TESTSCRIPT "${TESTSCRIPT}RUN: ${ARGS_EXECUTABLE} ${JOINED_ARGUMENTS}\n")
+ endif()
+endmacro()
+
+# Specify a "VERIFY: " line to be put in a .test file. See also llvm_add_test().
+macro(llvm_test_verify)
+ CMAKE_PARSE_ARGUMENTS(ARGS "" "RUN_TYPE;WORKDIR" "" ${ARGN})
+ if(NOT DEFINED TESTSCRIPT)
+ set(TESTSCRIPT "" PARENT_SCOPE)
+ endif()
+ # ARGS_UNPARSED_ARGUMENTS is a semicolon-separated list. Change it into a
+ # whitespace-separated string.
+ string(REPLACE ";" " " JOINED_ARGUMENTS "${ARGS_UNPARSED_ARGUMENTS}")
+ if(DEFINED ARGS_WORKDIR)
+ set(JOINED_ARGUMENTS "cd ${ARGS_WORKDIR} ; ${JOINED_ARGUMENTS}")
+ endif()
+ if(NOT DEFINED ARGS_RUN_TYPE OR "${ARGS_RUN_TYPE}" STREQUAL "${TEST_SUITE_RUN_TYPE}")
+ set(TESTSCRIPT "${TESTSCRIPT}VERIFY: ${JOINED_ARGUMENTS}\n")
+ endif()
+endmacro()
+
+# Specify a "PREPARE: " line to be put in a .test file. See also
+# llvm_add_test().
+macro(llvm_test_prepare)
+ CMAKE_PARSE_ARGUMENTS(ARGS "" "RUN_TYPE;WORKDIR" "" ${ARGN})
+ if(NOT DEFINED TESTSCRIPT)
+ set(TESTSCRIPT "" PARENT_SCOPE)
+ endif()
+ # ARGS_UNPARSED_ARGUMENTS is a semicolon-separated list. Change it into a
+ # whitespace-separated string.
+ string(REPLACE ";" " " JOINED_ARGUMENTS "${ARGS_UNPARSED_ARGUMENTS}")
+ if(DEFINED ARGS_WORKDIR)
+ set(JOINED_ARGUMENTS "cd ${ARGS_WORKDIR} ; ${JOINED_ARGUMENTS}")
+ endif()
+ if(NOT DEFINED ARGS_RUN_TYPE OR "${ARGS_RUN_TYPE}" STREQUAL "${TEST_SUITE_RUN_TYPE}")
+ set(TESTSCRIPT "${TESTSCRIPT}PREPARE: ${JOINED_ARGUMENTS}\n")
+ endif()
+endmacro()
+
+# Specify a "METRIC: " line to be put in a .test file. See also llvm_add_test().
+macro(llvm_test_metric)
+ CMAKE_PARSE_ARGUMENTS(ARGS "" "RUN_TYPE;METRIC" "" ${ARGN})
+ if(NOT DEFINED TESTSCRIPT)
+ set(TESTSCRIPT "" PARENT_SCOPE)
+ endif()
+ # ARGS_UNPARSED_ARGUMENTS is a semicolon-separated list. Change it into a
+ # whitespace-separated string.
+ string(REPLACE ";" " " JOINED_ARGUMENTS "${ARGS_UNPARSED_ARGUMENTS}")
+ if(NOT DEFINED ARGS_RUN_TYPE OR "${ARGS_RUN_TYPE}" STREQUAL "${TEST_SUITE_RUN_TYPE}")
+ set(TESTSCRIPT "${TESTSCRIPT}METRIC: ${ARGS_METRIC}: ${JOINED_ARGUMENTS}\n")
+ endif()
+endmacro()
+
+# Create a .test driver file suitable for LIT.
+# The file contents come from previous llvm_test_XXX() calls.
+function(llvm_add_test testfile executable)
+ # Replace $EXECUTABLE$ placeholder.
+ string(REPLACE "$EXECUTABLE$" "${executable}" TESTSCRIPT "${TESTSCRIPT}")
+
+ # Produce .test file
+ file(GENERATE OUTPUT ${testfile} CONTENT "${TESTSCRIPT}")
+ # flush the test script
+ set(TESTSCRIPT "" PARENT_SCOPE)
+endfunction()
+
+function(llvm_add_test_for_target target)
+ llvm_add_test($<TARGET_FILE:${target}>.test $<TARGET_FILE:${target}>)
+ set(TESTSCRIPT "" PARENT_SCOPE)
+endfunction()
\ No newline at end of file
diff --git a/hpvm/env.yaml b/hpvm/env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..d2dcaa3de27105ac07efd81cfdf9a37655c33af7
--- /dev/null
+++ b/hpvm/env.yaml
@@ -0,0 +1,26 @@
+name: hpvm
+channels:
+ - pytorch
+ - defaults
+dependencies:
+ - jinja2=2.11
+ - jsonpickle=2
+ - keras==2.1.6
+ - matplotlib=3.3
+ - networkx=2.5
+ - pandas=1.1
+ - python==3.6.13
+ - pip
+ - pytorch==1.6.0
+ - torchvision=0.8
+ - tqdm=4.59
+ - scipy==1.1.0
+ - h5py==2.10.0
+ - pip:
+ - argparse==1.4
+ - onnx==1.8
+ - onnx-simplifier==0.3
+ - opentuner==0.8.3
+ - sqlalchemy==1.3.0
+ - tensorflow==1.14.0
+ - tensorflow-gpu==1.14.0
diff --git a/hpvm/lib/Transforms/FuseHPVMTensorNodes/FuseHPVMTensorNodes.cpp b/hpvm/lib/Transforms/FuseHPVMTensorNodes/FuseHPVMTensorNodes.cpp
index 9b6ca06f631104d5d65711495e18f64babbcf6e7..5117cc23d30a7392ee53107e63e7c2d13a4f9692 100644
--- a/hpvm/lib/Transforms/FuseHPVMTensorNodes/FuseHPVMTensorNodes.cpp
+++ b/hpvm/lib/Transforms/FuseHPVMTensorNodes/FuseHPVMTensorNodes.cpp
@@ -9,14 +9,12 @@
//
// This pass is uses fuses HPVM nodes based on the tensor operations contained
// the nodes. This helps create the groundwork for indicating to the compiler
-// that a set of tensor operations in a node are fusionable and it can have
+// that a set of tensor operations in a node are fusionable and it can have
// implications on performance and energy consumption of set of tensor
// operations in question.
//
//===----------------------------------------------------------------------===//
-
-
#define DEBUG_TYPE "FuseTensorNodes"
#include "llvm/IR/ValueMap.h"
@@ -141,6 +139,9 @@ static DFNode *findNextNodeInSequence(DFNode *SrcN) {
}
}
+ if (!DstN)
+ return NULL;
+
// If we reach this point, DstN is the unique successor of SrcN
// Now, test that the DstN has a single predeccessor except Root (dummy)
@@ -672,7 +673,9 @@ void FuseHPVMTensorNodes::updateParentNodeFunction(IntrinsicInst *II1,
IItoRemove.push_back(II);
} break;
case Intrinsic::hpvm_bind_output: {
- assert(false && "Source node of node fusion not expected in bind.out\n");
+ // Replace BindOut node argument with fused function node.
+ II->setArgOperand(0, IInew);
+
} break;
default:
llvm_unreachable("Unknown use of HPVM createNode handle\n");
@@ -822,7 +825,7 @@ void FindFusionTargetsTraversal::codeGen(DFLeafNode *N) {
}
errs() << "THIS IS NOT A DUMMY NODE\n";
errs() << "INTRINSIC: " << *isValidHPVMTensorNode(N) << "\n";
- if(!preferredTargetIncludes(N, hpvm::TENSOR_TARGET)) {
+ if (!preferredTargetIncludes(N, hpvm::TENSOR_TARGET)) {
// Only fuse if we plan to target PROMISE/Layers API
// The CUDNN backend would be able to generate calls for the fused node,
// but not the other way around
@@ -987,13 +990,24 @@ bool FuseHPVMTensorNodesWrapper::runOnModule(Module &M) {
FindFusionTargetsTraversal *FTTVisitor =
new FindFusionTargetsTraversal(M, DFG);
+ // Visit each DFG only once
+ std::set<Function *> Visited;
+
errs() << "Find targets\n";
// Iterate over all the DFGs and produce code for each one of them
for (auto rootNode : Roots) {
+
+ Function *rootFunc = rootNode->getFuncPointer();
+ if (Visited.find(rootFunc) != Visited.end())
+ continue;
+
// Initiate code generation for root DFNode
FTTVisitor->visit(rootNode);
+
+ Visited.insert(rootFunc);
}
+ errs() << "Finished visiting DFGs ...\n";
FuseHPVMTensorNodes::FusionTargets &FTs = FTTVisitor->getFusionTargets();
FuseHPVMTensorNodes Fuse;
diff --git a/hpvm/projects/gpu_profiler/.gitignore b/hpvm/projects/gpu_profiler/.gitignore
deleted file mode 100644
index dd2c293453382269c150c372d926f287a74edea5..0000000000000000000000000000000000000000
--- a/hpvm/projects/gpu_profiler/.gitignore
+++ /dev/null
@@ -1,3 +0,0 @@
-*.swp
-jetsonTX2Power
-pp
diff --git a/hpvm/projects/gpu_profiler/CMakeLists.txt b/hpvm/projects/gpu_profiler/CMakeLists.txt
deleted file mode 100644
index c6cf3041eee354609b3999e5a8dcd424990f75ec..0000000000000000000000000000000000000000
--- a/hpvm/projects/gpu_profiler/CMakeLists.txt
+++ /dev/null
@@ -1,5 +0,0 @@
-cmake_minimum_required(VERSION 3.5)
-set(libsrc src/profiler.cpp)
-set (CMAKE_CXX_STANDARD 11)
-add_library(gpu_profiler STATIC ${libsrc})
-target_include_directories(gpu_profiler PRIVATE include)
diff --git a/hpvm/projects/gpu_profiler/Makefile b/hpvm/projects/gpu_profiler/Makefile
deleted file mode 100644
index 412d38265ab5c9408d4ac444ded9d6bd8b72f1b7..0000000000000000000000000000000000000000
--- a/hpvm/projects/gpu_profiler/Makefile
+++ /dev/null
@@ -1,5 +0,0 @@
-all:
- g++ -std=c++11 -O3 profiler.cpp -o pp -lpthread
-
-clean:
- rm -rf pp
diff --git a/hpvm/projects/gpu_profiler/README.md b/hpvm/projects/gpu_profiler/README.md
deleted file mode 100644
index 59891da04cf3d28c9b854230255a4d935ab40724..0000000000000000000000000000000000000000
--- a/hpvm/projects/gpu_profiler/README.md
+++ /dev/null
@@ -1,8 +0,0 @@
-# Tegra GPU Profiler
-
-## Build
-
-```shell
-mkdir lib
-cmake ../
-make
diff --git a/hpvm/projects/gpu_profiler/offline_profiler.cpp b/hpvm/projects/gpu_profiler/offline_profiler.cpp
deleted file mode 100644
index 6b9f37ef62cc2c8600d11474100f27873bc36d7a..0000000000000000000000000000000000000000
--- a/hpvm/projects/gpu_profiler/offline_profiler.cpp
+++ /dev/null
@@ -1,595 +0,0 @@
-#include <cmath>
-#include <chrono>
-
-#include <iostream>
-#include <fstream>
-#include <string>
-#include <boost/algorithm/string.hpp>
-
-#include <vector>
-#include <map>
-
-#include <thread>
-#include <atomic>
-#include <sched.h>
-
-#define NUM_ARGS 4
-
-// This is a simple power profiler that can sample the power of the various
-// components in a Jetson TX2. The usage is simple: profile() measures power
-// for the specified program, and then dumpOutput() prints the readings to a
-// file. profile() can be called as many times as desired - the internal state
-// is reset each time and thus the measurements are not cumulative.
-class Profiler {
-private:
- // Jetson's ARM cores' physical IDs. The two Denver cores are 1 and 2, and
- // we can't use them.
- const unsigned core0 = 0;
- const unsigned core1 = 3;
- const unsigned core2 = 4;
- const unsigned core3 = 5;
-
- // sysfs paths for i2c buses of various components
- const char * const cpu_power_rail = "/sys/devices/3160000.i2c/i2c-0/0-0041/iio_device/in_power1_input";
- const char * const gpu_power_rail = "/sys/devices/3160000.i2c/i2c-0/0-0040/iio_device/in_power0_input";
- const char * const ddr_power_rail = "/sys/devices/3160000.i2c/i2c-0/0-0041/iio_device/in_power2_input";
- const char * const soc_power_rail = "/sys/devices/3160000.i2c/i2c-0/0-0040/iio_device/in_power1_input";
- const char * const sys_power_rail = "/sys/devices/3160000.i2c/i2c-0/0-0041/iio_device/in_power0_input";
-
- // It takes some time for the GPU's power to return to idle (ms)
- const unsigned gpu_idle_time = 0;
-
- // An individual power reading
- struct PowerReading {
- std::chrono::time_point<std::chrono::high_resolution_clock> time_;
- double cpu_;
- double gpu_;
- double ddr_;
- double soc_;
- double sys_;
- };
-
- // Individual tensor op
- struct TensorOp {
- std::string name_;
-
- double start_;
- double finish_;
- double time_;
-
- double energy_;
- double gpu_energy_;
- double ddr_energy_;
-
- double power_;
- double gpu_power_;
- double ddr_power_;
-
- TensorOp(std::string name, double start, double finish)
- : name_(name), start_(start), finish_(finish), time_(finish - start),
- energy_(0.0), gpu_energy_(0.0), ddr_energy_(0.0),
- power_(0.0), gpu_power_(0.0), ddr_power_(0.0) {
- }
- };
-
- // Aggregate tensor info
- struct AggTensorInfo {
- // Op name
- std::string name_;
-
- // Averages
- double average_time_;
-
- double average_energy_;
- double average_gpu_energy_;
- double average_ddr_energy_;
-
- double average_power_;
- double average_gpu_power_;
- double average_ddr_power_;
-
- // Standard deviations
- double time_std_;
-
- double energy_std_;
- double gpu_energy_std_;
- double ddr_energy_std_;
-
- double power_std_;
- double gpu_power_std_;
- double ddr_power_std_;
- };
-
- // Total time, energy, and power
- struct TotalInfo {
- double time_;
-
- double energy_;
- double gpu_energy_;
- double ddr_energy_;
-
- double power_;
- double gpu_power_;
- double ddr_power_;
-
- void clear() {
- time_ = 0.0;
-
- energy_ = 0.0;
- gpu_energy_ = 0.0;
- ddr_energy_ = 0.0;
-
- power_ = 0.0;
- gpu_power_ = 0.0;
- ddr_power_ = 0.0;
- }
- };
-
- // For reading the i2c buses via sysfs
- std::ifstream cpu_stream_;
- std::ifstream gpu_stream_;
- std::ifstream ddr_stream_;
- std::ifstream soc_stream_;
- std::ifstream sys_stream_;
-
- // Start time (so graph begins from t=0)
- std::chrono::time_point<std::chrono::high_resolution_clock> start_time_;
-
- // Per-run info
- std::vector<PowerReading> power_readings_;
-
- // Aggregate (across all runs) info
- std::map<std::string, std::vector<TensorOp>> tensor_info_;
- std::vector<AggTensorInfo> agg_tensor_info_;
- TotalInfo total_info_;
- unsigned iterations_;
-
- // Start and stop flags to synchronize the program and profiling threads
- std::atomic_bool start_;
- std::atomic_bool stop_;
-
-private:
- // Resets tensor info and total time and energy
- void resetGlobal() {
- tensor_info_.clear();
- agg_tensor_info_.clear();
- total_info_.clear();
- }
-
- // Resets power readings and flags
- void resetLocal() {
- power_readings_.clear();
- start_ = false;
- stop_ = false;
- }
-
- // Pins the given thread to the specified core
- void pinThread(std::thread &t, const unsigned core) const {
- cpu_set_t cpuset;
- CPU_ZERO(&cpuset);
- CPU_SET(core, &cpuset);
- if (pthread_setaffinity_np(t.native_handle(), sizeof(cpu_set_t), &cpuset) != 0)
- std::cout << "Couldn't set thread affinity\n";
- }
-
- // Adds a tensor op to the map
- void addTensorOp(std::string &op_name, TensorOp &top) {
- // Create a vector if this is the first entry
- auto it = tensor_info_.find(op_name);
- if (it == tensor_info_.end()) {
- tensor_info_.insert(std::pair<std::string, std::vector<TensorOp>>(op_name, std::vector<TensorOp>()));
- }
- tensor_info_[op_name].push_back(top);
- }
-
- // Obtain's a single power reading from the GPU and DDR rails
- void getPowerReading() {
- PowerReading reading;
-
- // The order matters here. All the reads have to happen together first
- // and then all the seeks have to happen together at the end, otherwise
- // there will be a significant time difference between the readings of
- // the different rails.
- reading.time_ = std::chrono::high_resolution_clock::now();
- gpu_stream_ >> reading.gpu_;
- ddr_stream_ >> reading.ddr_;
- power_readings_.push_back(reading);
-
- // Reset the input position of the files
- gpu_stream_.seekg(0);
- ddr_stream_.seekg(0);
- }
-
- // Executes the program to be profiled
- void runProgram(const std::string& program) {
- // Tell the profiling thread to start, execute the program that needs
- // to be profiled, and then tell the profiling thread to stop.
- start_ = true;
- const auto result = std::system(program.c_str());
- stop_ = true;
- }
-
- // Records power while the program is running
- void recordPower() {
- // Obtain the new start time, wait for the start signal, and keep
- // profiling until the stop flag is set.
- start_time_ = std::chrono::high_resolution_clock::now();
- while (!start_);
- while (!stop_)
- getPowerReading();
- }
-
- // Calculates stats for the entire execution (CPU+GPU phase)
- void updateTotalStats() {
- double energy = 0.0;
- double gpu_energy = 0.0;
- double ddr_energy = 0.0;
-
- std::chrono::time_point<std::chrono::high_resolution_clock> prev_time = start_time_;
- for (auto reading : power_readings_) {
- std::chrono::duration<double> duration = reading.time_ - prev_time;
- gpu_energy += reading.gpu_ * duration.count();
- ddr_energy += reading.ddr_ * duration.count();
- prev_time = reading.time_;
- }
- energy = gpu_energy + ddr_energy;
- auto time = std::chrono::duration<double>(prev_time - start_time_).count();
-
- total_info_.time_ += time;
- total_info_.energy_ += (gpu_energy + ddr_energy);
- total_info_.gpu_energy_ += gpu_energy;
- total_info_.ddr_energy_ += ddr_energy;
-
- total_info_.power_ += (energy / time);
- total_info_.gpu_power_ += (gpu_energy / time);
- total_info_.ddr_power_ += (ddr_energy / time);
- }
-
- // Calculates energy and power usage of the given tensor operation
- void calculateTensorEP(TensorOp &top) const {
- auto prev_time = top.start_;
- unsigned i = 0;
-
- // Skip until we hit the start time of the operation
- for (; std::chrono::duration<double>(power_readings_[i].time_.time_since_epoch()).count() < top.start_; i++);
-
- // Keep going until we hit the finish time of the operation or we run out of readings
- for (double curr_time; ((curr_time = std::chrono::duration<double>(power_readings_[i].time_.time_since_epoch()).count()) <= top.finish_)
- && (i < power_readings_.size()); i++) {
- auto duration = curr_time - prev_time;
- prev_time = curr_time;
-
- top.gpu_energy_ += power_readings_[i].gpu_ * duration;
- top.ddr_energy_ += power_readings_[i].ddr_ * duration;
- }
- top.energy_ = top.gpu_energy_ + top.ddr_energy_;
-
- top.power_ = top.energy_ / top.time_;
- top.gpu_power_ = top.gpu_energy_ / top.time_;
- top.ddr_power_ = top.ddr_energy_ / top.time_;
- }
-
- // Calculates stats for all the tensors in the timestamp file
- void updatePerOpStats() {
- const char * const op_file = "profile_data.txt";
- std::string line;
- std::ifstream ifs(op_file, std::ios::in);
-
- // Calculate time and energy for each tensor operation. There are two
- // possibilities for the file format:
- // If the line doesn't begin with #, we are looking at FP32 code
- // without any conversions to/from FP16, and each operation occupies
- // two consecutive lines in the timestamp file.
- // If the line does begin with #, we are looking at FP16 code with
- // conversion routines in the middle. In this case, *after* the current
- // line, there will be two lines for F2H, two lines for H2F, and then
- // one line for the end of the operation.
- while (std::getline(ifs, line)) {
- std::vector<std::string> tokens;
- boost::split(tokens, line, boost::is_any_of("\t"));
- std::string op_name = tokens[0];
-
- // FP32
- if (tokens[0][0] != '#') {
- // First line with tensor op name and start time
- std::string op_name = tokens[0];
- const auto start = std::stod(tokens[1]);
-
- // Second line with tensor op end time
- std::getline(ifs, line);
- tokens.clear();
- boost::split(tokens, line, boost::is_any_of("\t"));
- const auto finish = std::stod(tokens[1]);
-
- TensorOp top(op_name, start, finish);
- calculateTensorEP(top);
- addTensorOp(op_name, top);
- } else {
- // First line with tensor op name and start time
- std::string op_name = tokens[0].substr(1);
- const auto start = std::stod(tokens[1]);
-
- // Second line with f2h
- std::getline(ifs, line);
- tokens.clear();
- boost::split(tokens, line, boost::is_any_of("\t"));
- std::string f2h_name = op_name + "_f2h";
- const auto f2h_start = std::stod(tokens[1]);
-
- // Third line with f2h
- std::getline(ifs, line);
- tokens.clear();
- boost::split(tokens, line, boost::is_any_of("\t"));
- const auto f2h_finish = std::stod(tokens[1]);
-
- // Add f2h
- TensorOp f2h(f2h_name, f2h_start, f2h_finish);
- calculateTensorEP(f2h);
- addTensorOp(f2h_name, f2h);
-
- // Fourth line with h2f
- std::getline(ifs, line);
- tokens.clear();
- boost::split(tokens, line, boost::is_any_of("\t"));
- std::string h2f_name = op_name + "_h2f";
- const auto h2f_start = std::stod(tokens[1]);
-
- // Fifth line with h2f
- std::getline(ifs, line);
- tokens.clear();
- boost::split(tokens, line, boost::is_any_of("\t"));
- const auto h2f_finish = std::stod(tokens[1]);
-
- // Add h2f
- TensorOp h2f(h2f_name, h2f_start, h2f_finish);
- calculateTensorEP(h2f);
- addTensorOp(h2f_name, h2f);
-
- // Sixth and final line with tensor op end time
- std::getline(ifs, line);
- tokens.clear();
- boost::split(tokens, line, boost::is_any_of("\t"));
- const auto finish = std::stod(tokens[1]);
-
- // Subtract f2h's and h2f's time and energy to get just the computation's info
- TensorOp top(op_name, start, finish);
- calculateTensorEP(top);
-
- top.time_ -= (f2h.time_ + h2f.time_);
- top.energy_ -= (f2h.energy_ + h2f.energy_);
- top.gpu_energy_ -= (f2h.gpu_energy_ + h2f.gpu_energy_);
- top.ddr_energy_ -= (f2h.ddr_energy_ + h2f.ddr_energy_);
- top.power_ = top.energy_ / top.time_;
- top.gpu_power_ = top.gpu_energy_ / top.time_;
- top.ddr_power_ = top.ddr_energy_ / top.time_;
-
- addTensorOp(op_name, top);
- }
- }
- ifs.close();
- }
-
- void updateStats() {
- updatePerOpStats();
- updateTotalStats();
- }
-
- // Calculates the average and standard deviation of each metric of each tensor op
- void calculateAggregateStats() {
- for (auto it = tensor_info_.begin(); it != tensor_info_.end(); it++) {
- AggTensorInfo ati;
- ati.name_ = it->first;
- auto topv = it->second;
-
- double total_time = 0.0;
- double total_energy = 0.0;
- double total_gpu_energy = 0.0;
- double total_ddr_energy = 0.0;
- double total_power = 0.0;
- double total_gpu_power = 0.0;
- double total_ddr_power = 0.0;
-
- double time_sum = 0.0;
- double energy_sum = 0.0;
- double gpu_energy_sum = 0.0;
- double ddr_energy_sum = 0.0;
- double power_sum = 0.0;
- double gpu_power_sum = 0.0;
- double ddr_power_sum = 0.0;
-
- // Calculate average
- for (const auto &top : topv) {
- total_time += top.time_;
- total_energy += top.energy_;
- total_gpu_energy += top.gpu_energy_;
- total_ddr_energy += top.ddr_energy_;
- total_power += top.power_;
- total_gpu_power += top.gpu_power_;
- total_ddr_power += top.ddr_power_;
- }
-
- ati.average_time_ = total_time / iterations_;
- ati.average_energy_ = total_energy / iterations_;
- ati.average_gpu_energy_ = total_gpu_energy / iterations_;
- ati.average_ddr_energy_ = total_ddr_energy / iterations_;
- ati.average_power_ = total_power / iterations_;
- ati.average_gpu_power_ = total_gpu_power / iterations_;
- ati.average_ddr_power_ = total_ddr_power / iterations_;
-
- // Calculate standard deviation
- for (const auto &top : topv) {
- auto time_diff = top.time_ - ati.average_time_;
- time_sum += time_diff * time_diff;
-
- auto energy_diff = top.energy_ - ati.average_energy_;
- energy_sum += energy_diff * energy_diff;
- auto gpu_energy_diff = top.gpu_energy_ - ati.average_gpu_energy_;
- gpu_energy_sum += gpu_energy_diff * gpu_energy_diff;
- auto ddr_energy_diff = top.ddr_energy_ - ati.average_ddr_energy_;
- ddr_energy_sum += ddr_energy_diff * ddr_energy_diff;
-
- auto power_diff = top.power_ - ati.average_power_;
- power_sum += power_diff * power_diff;
- auto gpu_power_diff = top.gpu_power_ - ati.average_gpu_power_;
- gpu_power_sum += gpu_power_diff * gpu_power_diff;
- auto ddr_power_diff = top.ddr_power_ - ati.average_ddr_power_;
- ddr_power_sum += ddr_power_diff * ddr_power_diff;
- }
-
- ati.time_std_ = std::sqrt(time_sum / iterations_);
- ati.energy_std_ = std::sqrt(energy_sum / iterations_);
- ati.gpu_energy_std_ = std::sqrt(gpu_energy_sum / iterations_);
- ati.ddr_energy_std_ = std::sqrt(ddr_energy_sum / iterations_);
- ati.power_std_ = std::sqrt(power_sum / iterations_);
- ati.gpu_power_std_ = std::sqrt(gpu_power_sum / iterations_);
- ati.ddr_power_std_ = std::sqrt(ddr_power_sum / iterations_);
-
- agg_tensor_info_.push_back(ati);
- }
- }
-
-public:
- Profiler() {
- cpu_stream_.open(cpu_power_rail, std::ifstream::in);
- gpu_stream_.open(gpu_power_rail, std::ifstream::in);
- ddr_stream_.open(ddr_power_rail, std::ifstream::in);
- soc_stream_.open(soc_power_rail, std::ifstream::in);
- sys_stream_.open(sys_power_rail, std::ifstream::in);
-
- if (!cpu_stream_.is_open() or !gpu_stream_.is_open() or !ddr_stream_.is_open()
- or !soc_stream_.is_open() or !sys_stream_.is_open()) {
- std::cout << "Failed to open one of the power rails for reading\n";
- exit(1);
- }
- }
-
- ~Profiler() {
- cpu_stream_.close();
- gpu_stream_.close();
- ddr_stream_.close();
- soc_stream_.close();
- sys_stream_.close();
- }
-
- void profile(const std::string& program, const int iterations) {
- iterations_ = iterations;
- resetGlobal();
-
- for (unsigned i = 0; i < iterations_; i++) {
- resetLocal();
-
- // Launch two threads: one for running the program and one for
- // profiling it. Pin the threads to specific cores to remove migration
- // overhead. Profiling showed that the sampling rate increases slightly
- // with pinning.
- std::thread prog(&Profiler::runProgram, this, program);
- std::thread power(&Profiler::recordPower, this);
- pinThread(prog, core1);
- pinThread(power, core2);
- prog.join();
- power.join();
-
- updateStats();
-
- // Sleep for some time to bring the GPU back to idle
- std::this_thread::sleep_for(std::chrono::milliseconds(gpu_idle_time));
- }
-
- calculateAggregateStats();
- }
-
- void dumpTensorInfo(const char * const filename) const {
- std::cout<<"dumping to"<<filename<<'\n';
- const std::string header = "Op,Time (ms),Energy (mJ),GPU Energy (mJ),DDR Energy (mJ),Power (mW),GPU Power (mW),DDR Power (mW),Time std,Energy std,GPU Energy std,DDR Energy std,Power std,GPU Power std,DDR Power std\n";
- std::ofstream ofs;
- ofs.open(filename);
- //ofs << header;
- for (const auto &ati : agg_tensor_info_) {
- ofs << ati.name_
- << "," << ati.average_time_ * 1e3
- << "," << ati.average_energy_
- /*
- << "," << ati.average_gpu_energy_
- << "," << ati.average_ddr_energy_
- << "," << ati.average_power_
- << "," << ati.average_gpu_power_
- << "," << ati.average_ddr_power_
- << "," << ati.time_std_ * 1e3
- << "," << ati.energy_std_
- << "," << ati.gpu_energy_std_
- << "," << ati.ddr_energy_std_
- << "," << ati.power_std_
- << "," << ati.gpu_power_std_
- << "," << ati.ddr_power_std_*/
- << "\n";
-
- std::cout << ati.average_time_ * 1e3 << "," << ati.average_energy_ << "\n";
- }
- ofs.close();
- }
-
- void dumpPowerReadings(const char * const filename) const {
- std::ofstream ofs;
- ofs.open(filename);
- for (const auto &reading : power_readings_) {
- std::chrono::duration<double> duration = reading.time_ - start_time_;
- //std::chrono::duration<double> duration = reading.time_.time_since_epoch();
- ofs << std::to_string(duration.count())
- << " " << reading.gpu_
- << " " << reading.ddr_
- << "\n";
- }
- ofs.close();
- }
-
- void dumpTotalInfo() const {
- auto total_time = total_info_.time_ / iterations_;
-
- auto total_energy = total_info_.energy_ / iterations_;
- auto gpu_energy = total_info_.gpu_energy_ / iterations_;
- auto ddr_energy = total_info_.ddr_energy_ / iterations_;
-
- auto power = total_info_.power_ / iterations_;
- auto gpu_power = total_info_.gpu_power_ / iterations_;
- auto ddr_power = total_info_.ddr_power_ / iterations_;
-
- std::cout << "-----------------------------------------------------\n";
- std::cout << "Program info (average)\n";
- std::cout << "-----------------------------------------------------\n";
- std::cout << "\tExecution time: " << total_time << " seconds\n";
- std::cout << "\tTotal energy: " << total_energy << " mJ\n";
- std::cout << "\t GPU: " << gpu_energy << " mJ\n";
- std::cout << "\t DDR: " << ddr_energy << " mJ\n";
- std::cout << "\tPower: " << power << " mW\n";
- std::cout << "\t GPU: " << gpu_power << " mW\n";
- std::cout << "\t DDR: " << ddr_power << " mW\n";
- std::cout << "-----------------------------------------------------\n";
- }
-};
-
-int main(int argc, char *argv[]) {
- if (argc < NUM_ARGS) {
- std::cout << "Usage: " << argv[0] << " <program> <params> END_PARAM <iterations> <tensor output file> [power output file]\n";
- exit(1);
- }
-
- std::string program(argv[1]);
- size_t i = 2;
- for (; i < argc; i++){
- if (std::string(argv[i]) == "END_PARAM"){
- break;
- }
- program += " " + std::string(argv[i]);
- }
- i += 1;
-
- Profiler pp;
- pp.profile(program, std::stoi(argv[i]));
- pp.dumpTensorInfo(argv[i + 1]);
-
- if (argc > NUM_ARGS)
- pp.dumpPowerReadings(argv[i + 2]);
-
- return 0;
-}
-
diff --git a/hpvm/projects/gpu_profiler/plot.sh b/hpvm/projects/gpu_profiler/plot.sh
deleted file mode 100755
index 8e4573b10c2fab993b4998d2040d10b0f7e9f9c5..0000000000000000000000000000000000000000
--- a/hpvm/projects/gpu_profiler/plot.sh
+++ /dev/null
@@ -1,10 +0,0 @@
-#!/bin/sh
-input=$1
-gnuplot -p << EOF
- #set terminal png
- #set output "$input.png"
- set xlabel "Time (s)"
- set ylabel "Power (mW)"
- set title "Power usage of GPU and DDR over time"
- plot "$input" using 1:2 title 'GPU' with lines,"$input" using 1:3 title 'DDR' with lines
-EOF
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diff --git a/hpvm/projects/gpu_profiler/results/tests/mm300-gpu-3.pdf b/hpvm/projects/gpu_profiler/results/tests/mm300-gpu-3.pdf
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diff --git a/hpvm/projects/gpu_profiler/run.pl b/hpvm/projects/gpu_profiler/run.pl
deleted file mode 100755
index 8674e63d9453fbb1e07371d99cf22c4745f234b3..0000000000000000000000000000000000000000
--- a/hpvm/projects/gpu_profiler/run.pl
+++ /dev/null
@@ -1,64 +0,0 @@
-#!/usr/bin/perl
-
-use strict;
-use warnings;
-
-my $time;
-my $iterations = 100;
-
-# FP32
-print "############### FP32 ##############\n";
-
-print "Running Lenet\n";
-$time = `date`;
-print $time;
-`~/awesome_profiler/pp ./lenet_tanh $iterations lenet-fp32.csv`;
-
-print "Running FC2\n";
-$time = `date`;
-print $time;
-`~/awesome_profiler/pp ./fc2_clipped $iterations fc2-fp32.csv`;
-
-print "Running FC3\n";
-$time = `date`;
-print $time;
-`~/awesome_profiler/pp ./fc3_clipped $iterations fc3-fp32.csv`;
-
-print "Running FC4\n";
-$time = `date`;
-print $time;
-`~/awesome_profiler/pp ./fc4_clipped $iterations fc4-fp32.csv`;
-
-print "Running CIFAR\n";
-$time = `date`;
-print $time;
-`~/awesome_profiler/pp ./cifar_keras $iterations cifar-fp32.csv`;
-
-# FP16
-print "############### FP16 ##############\n";
-
-print "Running Lenet\n";
-$time = `date`;
-print $time;
-`~/awesome_profiler/pp ./lenet_tanh_half $iterations lenet-fp16.csv`;
-
-print "Running FC2\n";
-$time = `date`;
-print $time;
-`~/awesome_profiler/pp ./fc2_half $iterations fc2-fp16.csv`;
-
-print "Running FC3\n";
-$time = `date`;
-print $time;
-`~/awesome_profiler/pp ./fc3_half $iterations fc3-fp16.csv`;
-
-print "Running FC4\n";
-$time = `date`;
-print $time;
-`~/awesome_profiler/pp ./fc4_half $iterations fc4-fp16.csv`;
-
-print "Running CIFAR\n";
-$time = `date`;
-print $time;
-`~/awesome_profiler/pp ./cifar_keras_half $iterations cifar-fp16.csv`;
-
diff --git a/hpvm/projects/gpu_profiler/run_dnns.pl b/hpvm/projects/gpu_profiler/run_dnns.pl
deleted file mode 100755
index 041f3e3cae8598d34ac8d38f65cd37d51e8aa0ba..0000000000000000000000000000000000000000
--- a/hpvm/projects/gpu_profiler/run_dnns.pl
+++ /dev/null
@@ -1,29 +0,0 @@
-#!/usr/bin/perl
-
-use strict;
-use warnings;
-
-my $time;
-my $iterations = 100;
-my @networks = ("alexnet", "alexnet2", "resnet18", "vgg16");
-
-# FP32
-print "############### FP32 ##############\n";
-
-foreach my $network (@networks) {
- print "Running $network\n";
- $time = `date`;
- print $time;
- `~/awesome_profiler/pp ./${network}_cifar10 $iterations ${network}_fp32.csv`;
-}
-
-# FP16
-print "############### FP16 ##############\n";
-
-foreach my $network (@networks) {
- print "Running $network\n";
- $time = `date`;
- print $time;
- `~/awesome_profiler/pp ./${network}_cifar10_half $iterations ${network}_fp16.csv`;
-}
-
diff --git a/hpvm/projects/gpu_profiler/run_image_pipelines.pl b/hpvm/projects/gpu_profiler/run_image_pipelines.pl
deleted file mode 100755
index 8e6df67d2e96d343cff3cc6a324693c14abaa3f3..0000000000000000000000000000000000000000
--- a/hpvm/projects/gpu_profiler/run_image_pipelines.pl
+++ /dev/null
@@ -1,29 +0,0 @@
-#!/usr/bin/perl
-
-use strict;
-use warnings;
-
-my $time;
-my $iterations = 100;
-my @pipelines = ("pipeline_GEMO", "pipeline_GEO", "pipeline_GEOM", "pipeline_GSM", "pipeline_GSME");
-
-# FP32
-print "############### FP32 ##############\n";
-
-foreach my $pipeline (@pipelines) {
- print "Running $pipeline\n";
- $time = `date`;
- print $time;
- `~/awesome_profiler/pp ./${pipeline} $iterations ${pipeline}_fp32.csv`;
-}
-
-# FP16
-print "############### FP16 ##############\n";
-
-foreach my $pipeline (@pipelines) {
- print "Running $pipeline\n";
- $time = `date`;
- print $time;
- `~/awesome_profiler/pp ./${pipeline}_half $iterations ${pipeline}_fp16.csv`;
-}
-
diff --git a/hpvm/projects/gpu_profiler/src/offline_profiler.cpp b/hpvm/projects/gpu_profiler/src/offline_profiler.cpp
deleted file mode 100644
index 25ca45241c29e7a0f8edb0518d8347a185caf5a4..0000000000000000000000000000000000000000
--- a/hpvm/projects/gpu_profiler/src/offline_profiler.cpp
+++ /dev/null
@@ -1,584 +0,0 @@
-#include <cmath>
-#include <chrono>
-
-#include <iostream>
-#include <fstream>
-#include <string>
-#include <boost/algorithm/string.hpp>
-
-#include <vector>
-#include <map>
-
-#include <thread>
-#include <atomic>
-#include <sched.h>
-
-#define NUM_ARGS 4
-
-// This is a simple power profiler that can sample the power of the various
-// components in a Jetson TX2. The usage is simple: profile() measures power
-// for the specified program, and then dumpOutput() prints the readings to a
-// file. profile() can be called as many times as desired - the internal state
-// is reset each time and thus the measurements are not cumulative.
-class Profiler {
-private:
- // Jetson's ARM cores' physical IDs. The two Denver cores are 1 and 2, and
- // we can't use them.
- const unsigned core0 = 0;
- const unsigned core1 = 3;
- const unsigned core2 = 4;
- const unsigned core3 = 5;
-
- // sysfs paths for i2c buses of various components
- const char * const cpu_power_rail = "/sys/devices/3160000.i2c/i2c-0/0-0041/iio_device/in_power1_input";
- const char * const gpu_power_rail = "/sys/devices/3160000.i2c/i2c-0/0-0040/iio_device/in_power0_input";
- const char * const ddr_power_rail = "/sys/devices/3160000.i2c/i2c-0/0-0041/iio_device/in_power2_input";
- const char * const soc_power_rail = "/sys/devices/3160000.i2c/i2c-0/0-0040/iio_device/in_power1_input";
- const char * const sys_power_rail = "/sys/devices/3160000.i2c/i2c-0/0-0041/iio_device/in_power0_input";
-
- // It takes some time for the GPU's power to return to idle (ms)
- const unsigned gpu_idle_time = 0;
-
- // An individual power reading
- struct PowerReading {
- std::chrono::time_point<std::chrono::high_resolution_clock> time_;
- double cpu_;
- double gpu_;
- double ddr_;
- double soc_;
- double sys_;
- };
-
- // Individual tensor op
- struct TensorOp {
- std::string name_;
-
- double start_;
- double finish_;
- double time_;
-
- double energy_;
- double gpu_energy_;
- double ddr_energy_;
-
- double power_;
- double gpu_power_;
- double ddr_power_;
-
- TensorOp(std::string name, double start, double finish)
- : name_(name), start_(start), finish_(finish), time_(finish - start),
- energy_(0.0), gpu_energy_(0.0), ddr_energy_(0.0),
- power_(0.0), gpu_power_(0.0), ddr_power_(0.0) {
- }
- };
-
- // Aggregate tensor info
- struct AggTensorInfo {
- // Op name
- std::string name_;
-
- // Averages
- double average_time_;
-
- double average_energy_;
- double average_gpu_energy_;
- double average_ddr_energy_;
-
- double average_power_;
- double average_gpu_power_;
- double average_ddr_power_;
-
- // Standard deviations
- double time_std_;
-
- double energy_std_;
- double gpu_energy_std_;
- double ddr_energy_std_;
-
- double power_std_;
- double gpu_power_std_;
- double ddr_power_std_;
- };
-
- // Total time, energy, and power
- struct TotalInfo {
- double time_;
-
- double energy_;
- double gpu_energy_;
- double ddr_energy_;
-
- double power_;
- double gpu_power_;
- double ddr_power_;
-
- void clear() {
- time_ = 0.0;
-
- energy_ = 0.0;
- gpu_energy_ = 0.0;
- ddr_energy_ = 0.0;
-
- power_ = 0.0;
- gpu_power_ = 0.0;
- ddr_power_ = 0.0;
- }
- };
-
- // For reading the i2c buses via sysfs
- std::ifstream cpu_stream_;
- std::ifstream gpu_stream_;
- std::ifstream ddr_stream_;
- std::ifstream soc_stream_;
- std::ifstream sys_stream_;
-
- // Start time (so graph begins from t=0)
- std::chrono::time_point<std::chrono::high_resolution_clock> start_time_;
-
- // Per-run info
- std::vector<PowerReading> power_readings_;
-
- // Aggregate (across all runs) info
- std::map<std::string, std::vector<TensorOp>> tensor_info_;
- std::vector<AggTensorInfo> agg_tensor_info_;
- TotalInfo total_info_;
- unsigned iterations_;
-
- // Start and stop flags to synchronize the program and profiling threads
- std::atomic_bool start_;
- std::atomic_bool stop_;
-
-private:
- // Resets tensor info and total time and energy
- void resetGlobal() {
- tensor_info_.clear();
- agg_tensor_info_.clear();
- total_info_.clear();
- }
-
- // Resets power readings and flags
- void resetLocal() {
- power_readings_.clear();
- start_ = false;
- stop_ = false;
- }
-
- // Pins the given thread to the specified core
- void pinThread(std::thread &t, const unsigned core) const {
- cpu_set_t cpuset;
- CPU_ZERO(&cpuset);
- CPU_SET(core, &cpuset);
- if (pthread_setaffinity_np(t.native_handle(), sizeof(cpu_set_t), &cpuset) != 0)
- std::cout << "Couldn't set thread affinity\n";
- }
-
- // Adds a tensor op to the map
- void addTensorOp(std::string &op_name, TensorOp &top) {
- // Create a vector if this is the first entry
- auto it = tensor_info_.find(op_name);
- if (it == tensor_info_.end()) {
- tensor_info_.insert(std::pair<std::string, std::vector<TensorOp>>(op_name, std::vector<TensorOp>()));
- }
- tensor_info_[op_name].push_back(top);
- }
-
- // Obtain's a single power reading from the GPU and DDR rails
- void getPowerReading() {
- PowerReading reading;
-
- // The order matters here. All the reads have to happen together first
- // and then all the seeks have to happen together at the end, otherwise
- // there will be a significant time difference between the readings of
- // the different rails.
- reading.time_ = std::chrono::high_resolution_clock::now();
- gpu_stream_ >> reading.gpu_;
- ddr_stream_ >> reading.ddr_;
- power_readings_.push_back(reading);
-
- // Reset the input position of the files
- gpu_stream_.seekg(0);
- ddr_stream_.seekg(0);
- }
-
- // Executes the program to be profiled
- void runProgram(const char * const program) {
- // Tell the profiling thread to start, execute the program that needs
- // to be profiled, and then tell the profiling thread to stop.
- start_ = true;
- const auto result = std::system(program);
- stop_ = true;
- }
-
- // Records power while the program is running
- void recordPower() {
- // Obtain the new start time, wait for the start signal, and keep
- // profiling until the stop flag is set.
- start_time_ = std::chrono::high_resolution_clock::now();
- while (!start_);
- while (!stop_)
- getPowerReading();
- }
-
- // Calculates stats for the entire execution (CPU+GPU phase)
- void updateTotalStats() {
- double energy = 0.0;
- double gpu_energy = 0.0;
- double ddr_energy = 0.0;
-
- std::chrono::time_point<std::chrono::high_resolution_clock> prev_time = start_time_;
- for (auto reading : power_readings_) {
- std::chrono::duration<double> duration = reading.time_ - prev_time;
- gpu_energy += reading.gpu_ * duration.count();
- ddr_energy += reading.ddr_ * duration.count();
- prev_time = reading.time_;
- }
- energy = gpu_energy + ddr_energy;
- auto time = std::chrono::duration<double>(prev_time - start_time_).count();
-
- total_info_.time_ += time;
- total_info_.energy_ += (gpu_energy + ddr_energy);
- total_info_.gpu_energy_ += gpu_energy;
- total_info_.ddr_energy_ += ddr_energy;
-
- total_info_.power_ += (energy / time);
- total_info_.gpu_power_ += (gpu_energy / time);
- total_info_.ddr_power_ += (ddr_energy / time);
- }
-
- // Calculates energy and power usage of the given tensor operation
- void calculateTensorEP(TensorOp &top) const {
- auto prev_time = top.start_;
- unsigned i = 0;
-
- // Skip until we hit the start time of the operation
- for (; std::chrono::duration<double>(power_readings_[i].time_.time_since_epoch()).count() < top.start_; i++);
-
- // Keep going until we hit the finish time of the operation or we run out of readings
- for (double curr_time; ((curr_time = std::chrono::duration<double>(power_readings_[i].time_.time_since_epoch()).count()) <= top.finish_)
- && (i < power_readings_.size()); i++) {
- auto duration = curr_time - prev_time;
- prev_time = curr_time;
-
- top.gpu_energy_ += power_readings_[i].gpu_ * duration;
- top.ddr_energy_ += power_readings_[i].ddr_ * duration;
- }
- top.energy_ = top.gpu_energy_ + top.ddr_energy_;
-
- top.power_ = top.energy_ / top.time_;
- top.gpu_power_ = top.gpu_energy_ / top.time_;
- top.ddr_power_ = top.ddr_energy_ / top.time_;
- }
-
- // Calculates stats for all the tensors in the timestamp file
- void updatePerOpStats() {
- const char * const op_file = "profile_data.txt";
- std::string line;
- std::ifstream ifs(op_file, std::ios::in);
-
- // Calculate time and energy for each tensor operation. There are two
- // possibilities for the file format:
- // If the line doesn't begin with #, we are looking at FP32 code
- // without any conversions to/from FP16, and each operation occupies
- // two consecutive lines in the timestamp file.
- // If the line does begin with #, we are looking at FP16 code with
- // conversion routines in the middle. In this case, *after* the current
- // line, there will be two lines for F2H, two lines for H2F, and then
- // one line for the end of the operation.
- while (std::getline(ifs, line)) {
- std::vector<std::string> tokens;
- boost::split(tokens, line, boost::is_any_of("\t"));
- std::string op_name = tokens[0];
-
- // FP32
- if (tokens[0][0] != '#') {
- // First line with tensor op name and start time
- std::string op_name = tokens[0];
- const auto start = std::stod(tokens[1]);
-
- // Second line with tensor op end time
- std::getline(ifs, line);
- tokens.clear();
- boost::split(tokens, line, boost::is_any_of("\t"));
- const auto finish = std::stod(tokens[1]);
-
- TensorOp top(op_name, start, finish);
- calculateTensorEP(top);
- addTensorOp(op_name, top);
- } else {
- // First line with tensor op name and start time
- std::string op_name = tokens[0].substr(1);
- const auto start = std::stod(tokens[1]);
-
- // Second line with f2h
- std::getline(ifs, line);
- tokens.clear();
- boost::split(tokens, line, boost::is_any_of("\t"));
- std::string f2h_name = op_name + "_f2h";
- const auto f2h_start = std::stod(tokens[1]);
-
- // Third line with f2h
- std::getline(ifs, line);
- tokens.clear();
- boost::split(tokens, line, boost::is_any_of("\t"));
- const auto f2h_finish = std::stod(tokens[1]);
-
- // Add f2h
- TensorOp f2h(f2h_name, f2h_start, f2h_finish);
- calculateTensorEP(f2h);
- addTensorOp(f2h_name, f2h);
-
- // Fourth line with h2f
- std::getline(ifs, line);
- tokens.clear();
- boost::split(tokens, line, boost::is_any_of("\t"));
- std::string h2f_name = op_name + "_h2f";
- const auto h2f_start = std::stod(tokens[1]);
-
- // Fifth line with h2f
- std::getline(ifs, line);
- tokens.clear();
- boost::split(tokens, line, boost::is_any_of("\t"));
- const auto h2f_finish = std::stod(tokens[1]);
-
- // Add h2f
- TensorOp h2f(h2f_name, h2f_start, h2f_finish);
- calculateTensorEP(h2f);
- addTensorOp(h2f_name, h2f);
-
- // Sixth and final line with tensor op end time
- std::getline(ifs, line);
- tokens.clear();
- boost::split(tokens, line, boost::is_any_of("\t"));
- const auto finish = std::stod(tokens[1]);
-
- // Subtract f2h's and h2f's time and energy to get just the computation's info
- TensorOp top(op_name, start, finish);
- calculateTensorEP(top);
-
- top.time_ -= (f2h.time_ + h2f.time_);
- top.energy_ -= (f2h.energy_ + h2f.energy_);
- top.gpu_energy_ -= (f2h.gpu_energy_ + h2f.gpu_energy_);
- top.ddr_energy_ -= (f2h.ddr_energy_ + h2f.ddr_energy_);
- top.power_ = top.energy_ / top.time_;
- top.gpu_power_ = top.gpu_energy_ / top.time_;
- top.ddr_power_ = top.ddr_energy_ / top.time_;
-
- addTensorOp(op_name, top);
- }
- }
- ifs.close();
- }
-
- void updateStats() {
- updatePerOpStats();
- updateTotalStats();
- }
-
- // Calculates the average and standard deviation of each metric of each tensor op
- void calculateAggregateStats() {
- for (auto it = tensor_info_.begin(); it != tensor_info_.end(); it++) {
- AggTensorInfo ati;
- ati.name_ = it->first;
- auto topv = it->second;
-
- double total_time = 0.0;
- double total_energy = 0.0;
- double total_gpu_energy = 0.0;
- double total_ddr_energy = 0.0;
- double total_power = 0.0;
- double total_gpu_power = 0.0;
- double total_ddr_power = 0.0;
-
- double time_sum = 0.0;
- double energy_sum = 0.0;
- double gpu_energy_sum = 0.0;
- double ddr_energy_sum = 0.0;
- double power_sum = 0.0;
- double gpu_power_sum = 0.0;
- double ddr_power_sum = 0.0;
-
- // Calculate average
- for (const auto &top : topv) {
- total_time += top.time_;
- total_energy += top.energy_;
- total_gpu_energy += top.gpu_energy_;
- total_ddr_energy += top.ddr_energy_;
- total_power += top.power_;
- total_gpu_power += top.gpu_power_;
- total_ddr_power += top.ddr_power_;
- }
-
- ati.average_time_ = total_time / iterations_;
- ati.average_energy_ = total_energy / iterations_;
- ati.average_gpu_energy_ = total_gpu_energy / iterations_;
- ati.average_ddr_energy_ = total_ddr_energy / iterations_;
- ati.average_power_ = total_power / iterations_;
- ati.average_gpu_power_ = total_gpu_power / iterations_;
- ati.average_ddr_power_ = total_ddr_power / iterations_;
-
- // Calculate standard deviation
- for (const auto &top : topv) {
- auto time_diff = top.time_ - ati.average_time_;
- time_sum += time_diff * time_diff;
-
- auto energy_diff = top.energy_ - ati.average_energy_;
- energy_sum += energy_diff * energy_diff;
- auto gpu_energy_diff = top.gpu_energy_ - ati.average_gpu_energy_;
- gpu_energy_sum += gpu_energy_diff * gpu_energy_diff;
- auto ddr_energy_diff = top.ddr_energy_ - ati.average_ddr_energy_;
- ddr_energy_sum += ddr_energy_diff * ddr_energy_diff;
-
- auto power_diff = top.power_ - ati.average_power_;
- power_sum += power_diff * power_diff;
- auto gpu_power_diff = top.gpu_power_ - ati.average_gpu_power_;
- gpu_power_sum += gpu_power_diff * gpu_power_diff;
- auto ddr_power_diff = top.ddr_power_ - ati.average_ddr_power_;
- ddr_power_sum += ddr_power_diff * ddr_power_diff;
- }
-
- ati.time_std_ = std::sqrt(time_sum / iterations_);
- ati.energy_std_ = std::sqrt(energy_sum / iterations_);
- ati.gpu_energy_std_ = std::sqrt(gpu_energy_sum / iterations_);
- ati.ddr_energy_std_ = std::sqrt(ddr_energy_sum / iterations_);
- ati.power_std_ = std::sqrt(power_sum / iterations_);
- ati.gpu_power_std_ = std::sqrt(gpu_power_sum / iterations_);
- ati.ddr_power_std_ = std::sqrt(ddr_power_sum / iterations_);
-
- agg_tensor_info_.push_back(ati);
- }
- }
-
-public:
- Profiler() {
- cpu_stream_.open(cpu_power_rail, std::ifstream::in);
- gpu_stream_.open(gpu_power_rail, std::ifstream::in);
- ddr_stream_.open(ddr_power_rail, std::ifstream::in);
- soc_stream_.open(soc_power_rail, std::ifstream::in);
- sys_stream_.open(sys_power_rail, std::ifstream::in);
-
- if (!cpu_stream_.is_open() or !gpu_stream_.is_open() or !ddr_stream_.is_open()
- or !soc_stream_.is_open() or !sys_stream_.is_open()) {
- std::cout << "Failed to open one of the power rails for reading\n";
- exit(1);
- }
- }
-
- ~Profiler() {
- cpu_stream_.close();
- gpu_stream_.close();
- ddr_stream_.close();
- soc_stream_.close();
- sys_stream_.close();
- }
-
- void profile(const char * const program, const int iterations) {
- iterations_ = iterations;
- resetGlobal();
-
- for (unsigned i = 0; i < iterations_; i++) {
- resetLocal();
-
- // Launch two threads: one for running the program and one for
- // profiling it. Pin the threads to specific cores to remove migration
- // overhead. Profiling showed that the sampling rate increases slightly
- // with pinning.
- std::thread prog(&Profiler::runProgram, this, program);
- std::thread power(&Profiler::recordPower, this);
- pinThread(prog, core1);
- pinThread(power, core2);
- prog.join();
- power.join();
-
- updateStats();
-
- // Sleep for some time to bring the GPU back to idle
- std::this_thread::sleep_for(std::chrono::milliseconds(gpu_idle_time));
- }
-
- calculateAggregateStats();
- }
-
- void dumpTensorInfo(const char * const filename) const {
- const std::string header = "Op,Time (ms),Energy (mJ),GPU Energy (mJ),DDR Energy (mJ),Power (mW),GPU Power (mW),DDR Power (mW),Time std,Energy std,GPU Energy std,DDR Energy std,Power std,GPU Power std,DDR Power std\n";
- std::ofstream ofs;
- ofs.open(filename);
- //ofs << header;
- for (const auto &ati : agg_tensor_info_) {
- ofs << ati.name_
- << "," << ati.average_time_ * 1e3
- << "," << ati.average_energy_
- /*
- << "," << ati.average_gpu_energy_
- << "," << ati.average_ddr_energy_
- << "," << ati.average_power_
- << "," << ati.average_gpu_power_
- << "," << ati.average_ddr_power_
- << "," << ati.time_std_ * 1e3
- << "," << ati.energy_std_
- << "," << ati.gpu_energy_std_
- << "," << ati.ddr_energy_std_
- << "," << ati.power_std_
- << "," << ati.gpu_power_std_
- << "," << ati.ddr_power_std_*/
- << "\n";
-
- std::cout << ati.average_time_ * 1e3 << "," << ati.average_energy_ << "\n";
- }
- ofs.close();
- }
-
- void dumpPowerReadings(const char * const filename) const {
- std::ofstream ofs;
- ofs.open(filename);
- for (const auto &reading : power_readings_) {
- std::chrono::duration<double> duration = reading.time_ - start_time_;
- //std::chrono::duration<double> duration = reading.time_.time_since_epoch();
- ofs << std::to_string(duration.count())
- << " " << reading.gpu_
- << " " << reading.ddr_
- << "\n";
- }
- ofs.close();
- }
-
- void dumpTotalInfo() const {
- auto total_time = total_info_.time_ / iterations_;
-
- auto total_energy = total_info_.energy_ / iterations_;
- auto gpu_energy = total_info_.gpu_energy_ / iterations_;
- auto ddr_energy = total_info_.ddr_energy_ / iterations_;
-
- auto power = total_info_.power_ / iterations_;
- auto gpu_power = total_info_.gpu_power_ / iterations_;
- auto ddr_power = total_info_.ddr_power_ / iterations_;
-
- std::cout << "-----------------------------------------------------\n";
- std::cout << "Program info (average)\n";
- std::cout << "-----------------------------------------------------\n";
- std::cout << "\tExecution time: " << total_time << " seconds\n";
- std::cout << "\tTotal energy: " << total_energy << " mJ\n";
- std::cout << "\t GPU: " << gpu_energy << " mJ\n";
- std::cout << "\t DDR: " << ddr_energy << " mJ\n";
- std::cout << "\tPower: " << power << " mW\n";
- std::cout << "\t GPU: " << gpu_power << " mW\n";
- std::cout << "\t DDR: " << ddr_power << " mW\n";
- std::cout << "-----------------------------------------------------\n";
- }
-};
-
-int main(int argc, char *argv[]) {
- if (argc < NUM_ARGS) {
- std::cout << "Usage: " << argv[0] << " <program> <iterations> <tensor output file> [power output file]\n";
- exit(1);
- }
-
- Profiler pp;
- pp.profile(argv[1], std::stoi(argv[2]));
- pp.dumpTensorInfo(argv[3]);
-
- if (argc > NUM_ARGS)
- pp.dumpPowerReadings(argv[4]);
-
- return 0;
-}
-
diff --git a/hpvm/projects/hpvm-profiler/hpvm_profiler/__init__.py b/hpvm/projects/hpvm-profiler/hpvm_profiler/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e007ca9277f9e584708488ee57fd08c693a00279
--- /dev/null
+++ b/hpvm/projects/hpvm-profiler/hpvm_profiler/__init__.py
@@ -0,0 +1,175 @@
+from pathlib import Path
+from typing import Iterable, List, Tuple, Union
+from dataclasses import dataclass
+
+PathLike = Union[Path, str]
+
+
+def profile_configs(
+ binary_path: PathLike,
+ config_path: PathLike,
+ output_config_path: PathLike,
+ profile_filename: str = "profile_info.txt",
+ qos_filename: str = "final_accuracy",
+):
+ """
+ Profile an HPVM configuration file with an HPVM binary.
+ The configuration file must have the baseline as the first configuration.
+
+ binary_path: Union[Path, str]
+ Path to binary to be executed in profiling.
+ config_path: Union[Path, str]
+ Path to config file (HPVM configuration format)
+ with configs to enumerate for profiling.
+ output_config_path: Union[Path, str]
+ Path where the output configs are written.
+ The output config file has the same configs as the input `config_path` file,
+ but the performance and energy readings are updated.
+ profile_filename: str
+ Name of profile file generated by the binary (in current directory).
+ This defaults to "profile_info.txt" and should not be changed for HPVM binaries.
+ qos_filename: str
+ Name of QoS file generated by the binary (in current directory).
+ It contains a single float number as the QoS of this run.
+ This defaults to "final_accuracy" and should not be changed for HPVM binaries.
+ """
+
+ from subprocess import check_call
+ from tempfile import NamedTemporaryFile
+
+ # Read first line ("the float") and configs in config file
+ header, configs = read_hpvm_configs(Path(config_path))
+ if not configs:
+ raise ValueError("Config file with no configs is unsupported.")
+ temp_file = NamedTemporaryFile("w")
+ baseline_time, baseline_acc = None, None
+ for idx, config in enumerate(configs):
+ # Write config to temp config file
+ write_hpvm_config(header, [config], Path(temp_file.name))
+ # Run binary_path binary,
+ # which generates `profile_filename` and `qos_filename` file in cwd.
+ check_call(str(binary_path))
+ # Read these two files for time and QoS info.
+ time = _read_profile_file(Path(profile_filename))
+ acc = _read_qos_file(Path(qos_filename))
+ if idx == 0:
+ baseline_time, baseline_acc = time, acc
+ continue
+ assert baseline_time is not None and baseline_acc is not None
+ speedup = baseline_time / time
+ config.update_profile_results(speedup, acc, baseline_acc)
+ write_hpvm_config(header, configs, Path(output_config_path))
+ temp_file.close()
+
+
+def plot_hpvm_configs(
+ config_path: PathLike,
+ save_to: PathLike = None,
+ show_qos_loss: bool = True,
+ **fig_kwargs,
+):
+ """
+ Plot the QoS-speedup information in an HPVM configuration file.
+ It is recommended to profile the config file first (using `profile_configs`)
+ to obtain real speedup numbers.
+ This function creates a `matplotlib.pyplot.Figure`, plots on it, and returns it.
+
+ config_path: Union[Path, str]
+ Path to the config file (HPVM configuration format).
+ save_to: Union[Path, str]
+ File to save figure into. Default is None: don't save figure (just return it).
+ show_qos_loss: bool
+ Show the loss of QoS on x axis of the figure. Defaults to True.
+ If False, will use (absolute) QoS instead of QoS loss.
+ fig_kwargs:
+ Arguments to pass to `plt.subplots`.
+ """
+
+ import numpy as np
+ import matplotlib.pyplot as plt
+
+ _, configs = read_hpvm_configs(config_path)
+ get_qos = lambda c: c.qos_loss if show_qos_loss else c.qos
+ qos_speedup = np.array([(get_qos(c), c.speedup) for c in configs])
+ qoses, speedups = qos_speedup.T
+ fig, ax = plt.subplots(**fig_kwargs)
+ ax.scatter(qoses, speedups)
+ ax.xlabel("QoS Loss")
+ ax.ylabel("Speedup (X)")
+ if save_to:
+ fig.savefig(save_to, dpi=300)
+ return fig
+
+@dataclass
+class Config:
+ conf_name: str
+ speedup: float
+ energy: float
+ qos: float
+ qos_loss: float
+ # We don't care about the information in this part, and we don't parse this.
+ config_body: List[str]
+
+ def update_profile_results(self, speedup: float, qos: float, base_qos: float):
+ recorded_base_qos = self.qos + self.qos_loss
+ if abs(recorded_base_qos - base_qos) > 1e-3:
+ raise ValueError(
+ f"Baseline QoS mismatch. Original: {recorded_base_qos}, measured: {base_qos}"
+ )
+ self.speedup = speedup
+ self.qos = qos
+ self.qos_loss = base_qos - qos
+
+ def __repr__(self) -> str:
+ header_fields = [
+ self.conf_name,
+ self.speedup,
+ self.energy,
+ self.qos,
+ self.qos_loss,
+ ]
+ header = " ".join(str(field) for field in header_fields)
+ return f"{header}\n{self.config_body}"
+
+ __str__ = __repr__
+
+
+def read_hpvm_configs(config_file: PathLike) -> Tuple[str, List[Config]]:
+ # def read_hpvm_configs(config_file, config_num, temp_file):
+ ret_configs = []
+ with open(config_file) as f:
+ text = f.read()
+ opening, closing = "+++++", "-----"
+ # There's 1 float sitting on the first line of config file.
+ # We don't use it, but want to keep that intact.
+ header, *configs = text.split(opening)
+ header = header.strip()
+ for config_text in configs:
+ config_text = config_text.replace(closing, "").strip()
+ config_header, *config_body = config_text.splitlines()
+ conf_name, *number_fields = config_header.split(" ")
+ speedup, energy, qos, qos_drop = [float(s) for s in number_fields]
+ ret_configs.append(
+ Config(conf_name, speedup, energy, qos, qos_drop, config_body)
+ )
+ return header, ret_configs
+
+
+def write_hpvm_config(header: str, configs: Iterable[Config], to_file: PathLike):
+ text_segs = [header] + [str(config) for config in configs]
+ with open(to_file, "w") as f:
+ f.write("\n".join(text_segs))
+
+
+def _read_profile_file(profile_file_path: Path):
+ with profile_file_path.open() as f:
+ target_lines = [line.strip() for line in f if "Total Time" in line]
+ if len(target_lines) != 1:
+ raise RuntimeError(f"Profile {profile_file_path} malformed")
+ (target_line,) = target_lines
+ return float(target_line.split()[3])
+
+
+def _read_qos_file(qos_file_path: Path):
+ with qos_file_path.open() as f:
+ return float(f.read().strip())
diff --git a/hpvm/projects/hpvm-profiler/setup.py b/hpvm/projects/hpvm-profiler/setup.py
new file mode 100644
index 0000000000000000000000000000000000000000..f7b3771a2ee3a67569092d9b956e67c309f9d08e
--- /dev/null
+++ b/hpvm/projects/hpvm-profiler/setup.py
@@ -0,0 +1,11 @@
+import setuptools
+
+setuptools.setup(
+ name="hpvm_profiler",
+ version="0.1",
+ author="Akash Kothari, Yifan Zhao",
+ author_email="akashk4@illinois.edu, yifanz16@illinois.edu",
+ description="A package for profiling of HPVM approximation configurations",
+ packages=["hpvm_profiler"],
+ install_requires=["numpy>=1.19", "matplotlib>=3"],
+)
diff --git a/hpvm/projects/hpvm-tensor-rt/CMakeLists.txt b/hpvm/projects/hpvm-tensor-rt/CMakeLists.txt
index 602c9327b946c9e7ccf07e7eec3519657c11a319..a142d524b69cb605b85c496aa140c806ad258dfd 100644
--- a/hpvm/projects/hpvm-tensor-rt/CMakeLists.txt
+++ b/hpvm/projects/hpvm-tensor-rt/CMakeLists.txt
@@ -28,21 +28,20 @@ set(
${CUDNN_INCLUDE_PATH}
./tensor_runtime/include ${CMAKE_CURRENT_BINARY_DIR}/tensor_runtime/include
./dnn_sources/include
- ../gpu_profiler/include ../soc_simulator/include
)
+# Build gpu_profiler and soc_simulator (dependencies)
+add_library(gpu_profiler SHARED gpu_profiler/profiler.cpp)
+target_include_directories(gpu_profiler PUBLIC gpu_profiler/)
+target_link_libraries(gpu_profiler pthread)
+
+add_library(soc_simulator SHARED soc_simulator/promise_timing_model.cpp)
+target_include_directories(soc_simulator PUBLIC soc_simulator/)
+
# -- Link libraries
find_package(OpenMP REQUIRED) # Provides ${OpenMP_CXX_FLAGS}
-# Configure gpu_profiler and soc_simulator, and setup all libs to link to
-# Conditionally add gpu_profiler project if we're building independently
-# (not building the whole hpvm)
-if(INDEP_BUILD)
- message(STATUS "Also compiling gpu_profiler and soc_simulator")
- add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/../gpu_profiler ${CMAKE_CURRENT_BINARY_DIR}/gpu_profiler)
- add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/../soc_simulator ${CMAKE_CURRENT_BINARY_DIR}/soc_simulator)
-endif()
set(LINK_DIR CUDNN_LIBRARY_PATH)
-set(LINK_LIBS gpu_profiler promise_profiler stdc++fs cudnn curand cublas)
+set(LINK_LIBS gpu_profiler soc_simulator stdc++fs cudnn curand cublas)
if(USE_GFLAGS)
list(APPEND LINK_LIBS gflags)
endif()
@@ -77,17 +76,16 @@ endforeach()
# -- Adding tensor_runtime targets
function(add_tensor_runtime target_name)
- add_library(${target_name} ${RUNTIME_SRCS})
+ add_library(${target_name} SHARED ${RUNTIME_SRCS})
set_property(TARGET ${target_name} PROPERTY CUDA_ARCHITECTURES 60)
target_compile_options(
${target_name} PRIVATE
- $<$<COMPILE_LANGUAGE:CUDA>:--expt-relaxed-constexpr -maxrregcount 32>
- $<$<AND:$<COMPILE_LANGUAGE:CUDA>,$<CONFIG:DEBUG>>:-lineinfo -Xcompiler -ggdb>
- $<$<COMPILE_LANGUAGE:CUDA>:-Xcompiler=${OpenMP_CXX_FLAGS}>
+ --expt-relaxed-constexpr -maxrregcount 32 -Xcompiler=${OpenMP_CXX_FLAGS}
+ $<$<CONFIG:DEBUG>:-lineinfo -Xcompiler=-ggdb>
)
target_include_directories(${target_name} PUBLIC ${INCLUDES})
target_link_directories(${target_name} PUBLIC ${LINK_DIR})
- target_link_libraries(${target_name} PUBLIC ${LINK_LIBS})
+ target_link_libraries(${target_name} PUBLIC ${LINK_LIBS} ${OpenMP_CXX_FLAGS})
target_compile_definitions(${target_name} PRIVATE ${DEFS} ${ARGN})
endfunction(add_tensor_runtime)
diff --git a/hpvm/projects/hpvm-tensor-rt/dnn_sources/include/utils.h b/hpvm/projects/hpvm-tensor-rt/dnn_sources/include/utils.h
index e3e6a864fa5128ed21ca6a1a161b3593f7bc9948..61fd362afcc665e21a7ba8636c8df778ac95184e 100644
--- a/hpvm/projects/hpvm-tensor-rt/dnn_sources/include/utils.h
+++ b/hpvm/projects/hpvm-tensor-rt/dnn_sources/include/utils.h
@@ -16,7 +16,7 @@
#include <string.h>
std::vector<float> run_accuracies;
-std::string model_params_path = "../../test/dnn_benchmarks/model_params/";
+std::string model_params_path = "../../test/dnn_benchmarks/model_params/";
// FIXIT: Move this to debug.h and include in all files
void dumpWeightsToFile(const char *file_name, void *weights_ptr) {
diff --git a/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp16/alexnet2_cifar10_half.cc b/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp16/alexnet2_cifar10_half.cc
index 7fa76350b5ec8f95f0a27da2436b7cccbe3c21f3..0b344035296bdbab2744e32604f3a8881feb6230 100644
--- a/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp16/alexnet2_cifar10_half.cc
+++ b/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp16/alexnet2_cifar10_half.cc
@@ -12,7 +12,7 @@ void testCifarNet() {
model_params_path + std::string("/alexnet2_cifar10/");
std::string input_path = dir_prefix + std::string("test_input.bin");
std::string labels_path = dir_prefix + std::string("test_labels.bin");
-
+
std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");
void *conv2d_1_w =
readTrainedWeights(conv2d_1_w_path.c_str(), 0, 32, 3, 3, 3);
diff --git a/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp16/lenet_mnist_half.cc b/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp16/lenet_mnist_half.cc
index 54cbbed01475ab0f13c3ff9b131bf174ba8e8e12..03dc905bbfcb07ad9a266fc153cd1a6a0db9837e 100644
--- a/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp16/lenet_mnist_half.cc
+++ b/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp16/lenet_mnist_half.cc
@@ -11,40 +11,46 @@ void testLenetTanh() {
int test_batch_size = 5000;
- std::string dir_prefix =
- model_params_path + std::string("/lenet_mnist/");
-
+ std::string dir_prefix = model_params_path + std::string("/lenet_mnist/");
+
std::string input_path = dir_prefix + std::string("test_input.bin");
std::string labels_path = dir_prefix + std::string("test_labels.bin");
// Loading Input Batch
void *input =
readInputBatch(input_path.c_str(), 0, 0, test_batch_size, 1, 28, 28);
-
- uint32_t *labels = readLabelsBatch3(labels_path.c_str(), 0, test_batch_size);
- void *conv1_filter = readTrainedWeights((dir_prefix + std::string("/conv2d_1_w.bin")).c_str(),
- float_type, 32, 1, 5, 5);
- void *conv1_bias = readTrainedWeights((dir_prefix + std::string("/conv2d_1_b.bin")).c_str(),
- float_type, 1, 32, 1, 1);
- void *conv2_filter = readTrainedWeights((dir_prefix + std::string("/conv2d_2_w.bin")).c_str(),
- float_type, 64, 32, 5, 5);
-
- void *conv2_bias = readTrainedWeights((dir_prefix + std::string("/conv2d_2_b.bin")).c_str(),
- float_type, 1, 64, 1, 1);
-
- void *fc1_weights = readTrainedWeights((dir_prefix + std::string("/dense_1_w.bin")).c_str(),
- float_type, 1, 1, 7 * 7 * 64, 1024);
-
- void *fc1_bias = readTrainedWeights((dir_prefix + std::string("/dense_1_b.bin")).c_str(),
- float_type, 1, 1024, 1, 1);
-
- void *fc2_weights = readTrainedWeights((dir_prefix + std::string("/dense_2_w.bin")).c_str(),
- float_type, 1, 1, 1024, 10);
-
- void *fc2_bias = readTrainedWeights((dir_prefix + std::string("/dense_2_b.bin")).c_str(),
- float_type, 1, 10, 1, 1);
+ uint32_t *labels = readLabelsBatch3(labels_path.c_str(), 0, test_batch_size);
+ void *conv1_filter =
+ readTrainedWeights((dir_prefix + std::string("/conv2d_1_w.bin")).c_str(),
+ float_type, 32, 1, 5, 5);
+ void *conv1_bias =
+ readTrainedWeights((dir_prefix + std::string("/conv2d_1_b.bin")).c_str(),
+ float_type, 1, 32, 1, 1);
+ void *conv2_filter =
+ readTrainedWeights((dir_prefix + std::string("/conv2d_2_w.bin")).c_str(),
+ float_type, 64, 32, 5, 5);
+
+ void *conv2_bias =
+ readTrainedWeights((dir_prefix + std::string("/conv2d_2_b.bin")).c_str(),
+ float_type, 1, 64, 1, 1);
+
+ void *fc1_weights =
+ readTrainedWeights((dir_prefix + std::string("/dense_1_w.bin")).c_str(),
+ float_type, 1, 1, 7 * 7 * 64, 1024);
+
+ void *fc1_bias =
+ readTrainedWeights((dir_prefix + std::string("/dense_1_b.bin")).c_str(),
+ float_type, 1, 1024, 1, 1);
+
+ void *fc2_weights =
+ readTrainedWeights((dir_prefix + std::string("/dense_2_w.bin")).c_str(),
+ float_type, 1, 1, 1024, 10);
+
+ void *fc2_bias =
+ readTrainedWeights((dir_prefix + std::string("/dense_2_b.bin")).c_str(),
+ float_type, 1, 10, 1, 1);
clearTensorMap();
diff --git a/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp16/mobilenet_half.cc b/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp16/mobilenet_half.cc
index 7340e52c8d60453a1fb6f68f718c1c08c478c058..d6eaef755743ce961d3d9c2f013eef26a77579f7 100644
--- a/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp16/mobilenet_half.cc
+++ b/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp16/mobilenet_half.cc
@@ -7,11 +7,12 @@ int main() {
llvm_hpvm_initTensorRt(0);
- std::string dir_prefix = model_params_path + std::string("/mobilenet_cifar10/");
-
+ std::string dir_prefix =
+ model_params_path + std::string("/mobilenet_cifar10/");
+
std::string input_path = dir_prefix + std::string("test_input.bin");
std::string labels_path = dir_prefix + std::string("test_labels.bin");
-
+
std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");
void *conv2d_1_w =
readTrainedWeights(conv2d_1_w_path.c_str(), 0, 32, 3, 3, 3);
diff --git a/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp16/resnet18_cifar10_half.cc b/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp16/resnet18_cifar10_half.cc
index 7ca01cd60e8c3d8cb1ce957f7016d2c492550537..40e128eb8a80f6e080c090589a3e91b80ffa082f 100644
--- a/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp16/resnet18_cifar10_half.cc
+++ b/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp16/resnet18_cifar10_half.cc
@@ -7,12 +7,13 @@ int main() {
llvm_hpvm_initTensorRt(0);
- std::string dir_prefix = model_params_path + std::string("/resnet18_cifar10/");
+ std::string dir_prefix =
+ model_params_path + std::string("/resnet18_cifar10/");
std::string input_path = dir_prefix + std::string("test_input.bin");
-
+
std::string labels_path = dir_prefix + std::string("test_labels.bin");
-
+
std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");
void *conv2d_1_w =
readTrainedWeights(conv2d_1_w_path.c_str(), 0, 16, 3, 3, 3);
diff --git a/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp16/vgg16_cifar100_half.cc b/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp16/vgg16_cifar100_half.cc
index a5b703ab6e2461f67c2d05b077ca2bdade86a5f9..eb3275b83009ec4300e9cb713f3b182727661db4 100644
--- a/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp16/vgg16_cifar100_half.cc
+++ b/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp16/vgg16_cifar100_half.cc
@@ -8,10 +8,10 @@ int main() {
llvm_hpvm_initTensorRt(0);
std::string dir_prefix = model_params_path + std::string("/vgg16_cifar100/");
-
+
std::string input_path = dir_prefix + std::string("test_input.bin");
std::string labels_path = dir_prefix + std::string("test_labels.bin");
-
+
std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");
void *conv2d_1_w =
readTrainedWeights(conv2d_1_w_path.c_str(), 0, 64, 3, 3, 3);
diff --git a/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp32/alexnet2_cifar10.cc b/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp32/alexnet2_cifar10.cc
index 287943c0bf2417beccaebbee4f6f5cddfc667549..396e9f11cae92c2f6613b5acb799caecbf025a59 100644
--- a/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp32/alexnet2_cifar10.cc
+++ b/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp32/alexnet2_cifar10.cc
@@ -8,7 +8,8 @@ void testCifarNet() {
printf("********* Alexnet2 CIFAR-10 DNN ********** \n");
- std::string dir_prefix = model_params_path + std::string("/alexnet2_cifar10/");
+ std::string dir_prefix =
+ model_params_path + std::string("/alexnet2_cifar10/");
std::string input_path = dir_prefix + std::string("test_input.bin");
std::string labels_path = dir_prefix + std::string("test_labels.bin");
diff --git a/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp32/alexnet_cifar10.cc b/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp32/alexnet_cifar10.cc
index 3dfef856c6eeeb93458ee93f7bf4a8c4feb852ac..600512078563baf850f440ea97e78cb2d73be170 100644
--- a/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp32/alexnet_cifar10.cc
+++ b/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp32/alexnet_cifar10.cc
@@ -10,7 +10,7 @@ int main() {
std::string dir_prefix = model_params_path + std::string("/alexnet_cifar10/");
std::string input_path = dir_prefix + std::string("test_input.bin");
- //std::string labels_path = dir_prefix + std::string("labels.bin");
+ // std::string labels_path = dir_prefix + std::string("labels.bin");
std::string labels32_path = dir_prefix + std::string("test_labels.bin");
std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");
void *conv2d_1_w =
diff --git a/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp32/alexnet_imagenet.cc b/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp32/alexnet_imagenet.cc
index 94da804e8aade0cd296a431b026be637c823201f..29909e5938ca0f700c4ee22165ae2ad354e53a32 100644
--- a/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp32/alexnet_imagenet.cc
+++ b/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp32/alexnet_imagenet.cc
@@ -7,8 +7,9 @@ int main() {
llvm_hpvm_initTensorRt(0);
- std::string dir_prefix = model_params_path + std::string("/alexnet_imagenet/");
-
+ std::string dir_prefix =
+ model_params_path + std::string("/alexnet_imagenet/");
+
std::string input_path = dir_prefix + std::string("test_input.bin");
std::string labels_path = dir_prefix + std::string("test_labels.bin");
std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");
diff --git a/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp32/lenet_mnist.cc b/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp32/lenet_mnist.cc
index e1550c715cb36dca8eec1fd24e82e038014039a0..61a0eeb441458ff6f91af8bc76ecc17a33428aec 100644
--- a/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp32/lenet_mnist.cc
+++ b/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp32/lenet_mnist.cc
@@ -5,50 +5,56 @@
int total_runs = 1;
-
void testLenetTanh() {
printf("********* Lenet-2 Architecture ********** \n");
int test_batch_size = 5000;
- std::string dir_prefix =
- model_params_path + std::string("/lenet_mnist/");
-
+ std::string dir_prefix = model_params_path + std::string("/lenet_mnist/");
+
std::string input_path = dir_prefix + std::string("test_input.bin");
std::string labels_path = dir_prefix + std::string("test_labels.bin");
// Loading Input Batch
void *input =
readInputBatch(input_path.c_str(), 0, 0, test_batch_size, 1, 28, 28);
-
+
uint32_t *labels = readLabelsBatch3(labels_path.c_str(), 0, test_batch_size);
- void *conv1_filter = readTrainedWeights((dir_prefix + std::string("/conv2d_1_w.bin")).c_str(),
- float_type, 32, 1, 5, 5);
- void *conv1_bias = readTrainedWeights((dir_prefix + std::string("/conv2d_1_b.bin")).c_str(),
- float_type, 1, 32, 1, 1);
- void *conv2_filter = readTrainedWeights((dir_prefix + std::string("/conv2d_2_w.bin")).c_str(),
- float_type, 64, 32, 5, 5);
-
- void *conv2_bias = readTrainedWeights((dir_prefix + std::string("/conv2d_2_b.bin")).c_str(),
- float_type, 1, 64, 1, 1);
-
- void *fc1_weights = readTrainedWeights((dir_prefix + std::string("/dense_1_w.bin")).c_str(),
- float_type, 1, 1, 7 * 7 * 64, 1024);
-
- void *fc1_bias = readTrainedWeights((dir_prefix + std::string("/dense_1_b.bin")).c_str(),
- float_type, 1, 1024, 1, 1);
-
- void *fc2_weights = readTrainedWeights((dir_prefix + std::string("/dense_2_w.bin")).c_str(),
- float_type, 1, 1, 1024, 10);
-
- void *fc2_bias = readTrainedWeights((dir_prefix + std::string("/dense_2_b.bin")).c_str(),
- float_type, 1, 10, 1, 1);
+ void *conv1_filter =
+ readTrainedWeights((dir_prefix + std::string("/conv2d_1_w.bin")).c_str(),
+ float_type, 32, 1, 5, 5);
+ void *conv1_bias =
+ readTrainedWeights((dir_prefix + std::string("/conv2d_1_b.bin")).c_str(),
+ float_type, 1, 32, 1, 1);
+ void *conv2_filter =
+ readTrainedWeights((dir_prefix + std::string("/conv2d_2_w.bin")).c_str(),
+ float_type, 64, 32, 5, 5);
+
+ void *conv2_bias =
+ readTrainedWeights((dir_prefix + std::string("/conv2d_2_b.bin")).c_str(),
+ float_type, 1, 64, 1, 1);
+
+ void *fc1_weights =
+ readTrainedWeights((dir_prefix + std::string("/dense_1_w.bin")).c_str(),
+ float_type, 1, 1, 7 * 7 * 64, 1024);
+
+ void *fc1_bias =
+ readTrainedWeights((dir_prefix + std::string("/dense_1_b.bin")).c_str(),
+ float_type, 1, 1024, 1, 1);
+
+ void *fc2_weights =
+ readTrainedWeights((dir_prefix + std::string("/dense_2_w.bin")).c_str(),
+ float_type, 1, 1, 1024, 10);
+
+ void *fc2_bias =
+ readTrainedWeights((dir_prefix + std::string("/dense_2_b.bin")).c_str(),
+ float_type, 1, 10, 1, 1);
clearTensorMap();
for (int i = 0; i < total_runs; i++) {
-
+
// Start power and performnce profiling
startProfiling();
diff --git a/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp32/mobilenet.cc b/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp32/mobilenet.cc
index 618b418ec99418a3e02f446729d5dc2e244081d5..85849126cf164693d12fb08aba8326033ca61b82 100644
--- a/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp32/mobilenet.cc
+++ b/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp32/mobilenet.cc
@@ -7,7 +7,8 @@ int main() {
llvm_hpvm_initTensorRt(0);
- std::string dir_prefix = model_params_path + std::string("/mobilenet_cifar10/");
+ std::string dir_prefix =
+ model_params_path + std::string("/mobilenet_cifar10/");
std::string input_path = dir_prefix + std::string("test_input.bin");
std::string labels_path = dir_prefix + std::string("test_labels.bin");
std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");
diff --git a/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp32/resnet18_cifar10.cc b/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp32/resnet18_cifar10.cc
index dcd96119630d1bed0214966c127c83a6a29ac656..bd3dd7dc1ea23f3cb8ad91e8632b347dd51a848b 100644
--- a/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp32/resnet18_cifar10.cc
+++ b/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp32/resnet18_cifar10.cc
@@ -7,12 +7,13 @@ int main() {
llvm_hpvm_initTensorRt(0);
- std::string dir_prefix = model_params_path + std::string("/resnet18_cifar10/");
+ std::string dir_prefix =
+ model_params_path + std::string("/resnet18_cifar10/");
std::string input_path = dir_prefix + std::string("test_input.bin");
-
+
std::string labels_path = dir_prefix + std::string("test_labels.bin");
-
+
std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");
void *conv2d_1_w =
readTrainedWeights(conv2d_1_w_path.c_str(), 0, 16, 3, 3, 3);
diff --git a/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp32/resnet50_imagenet.cc b/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp32/resnet50_imagenet.cc
index e19c0b21070807162c791a1a6389ccda87c23c8b..0cccb124b0dca81d45887df50c4a9bcaf2a21db5 100644
--- a/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp32/resnet50_imagenet.cc
+++ b/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/fp32/resnet50_imagenet.cc
@@ -7,7 +7,8 @@ int main() {
llvm_hpvm_initTensorRt(0);
- std::string dir_prefix = model_params_path + std::string("/resnet50_imagenet/");
+ std::string dir_prefix =
+ model_params_path + std::string("/resnet50_imagenet/");
std::string input_path = dir_prefix + std::string("test_input.bin");
std::string labels_path = dir_prefix + std::string("test_labels.bin");
diff --git a/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/unit_tests.cc b/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/unit_tests.cc
index 2a2e1c291c420bf95abf26b1168a049bd6441d11..746f62bce19b25c3b74bec4908cdc3c87bee034a 100644
--- a/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/unit_tests.cc
+++ b/hpvm/projects/hpvm-tensor-rt/dnn_sources/src/unit_tests.cc
@@ -630,7 +630,7 @@ void testSampleFilter() {
void testPerforationCalls(void *input, void *filter, int pad_h, int pad_w,
int stride_h, int stride_w, int row, int col,
- UnitTestResults &unitTestResults) {
+ UnitTestResults &unitTestResults) {
float interpolation_rate = 1.0;
for (int offset = 0; offset < 2; offset++) {
@@ -670,19 +670,15 @@ void testPerforationCalls(void *input, void *filter, int pad_h, int pad_w,
printf("\nConvApprox Result :");
printTensorValues(res);
-
hpvm_request_tensor(input, HOST);
hpvm_request_tensor(filter, HOST);
-
- void *res_cpu = tensorConvApproxCPU(input, filter,
- pad_h, pad_w,
- stride_h, stride_w,
- 1, 1, row, col, 1, offset);
+
+ void *res_cpu = tensorConvApproxCPU(input, filter, pad_h, pad_w, stride_h,
+ stride_w, 1, 1, row, col, 1, offset);
printf("\nConvApproxCPU Result :");
printTensorValues(res_cpu);
-
-
+
void *res_half =
tensorConvApproxHalf2(input, filter, pad_h, pad_w, stride_h, stride_w,
1, 1, row, col, 1, offset);
@@ -692,17 +688,15 @@ void testPerforationCalls(void *input, void *filter, int pad_h, int pad_w,
printf("\nConvApproxHalf2 Result :");
printTensorValues(res_half);
-
std::string suffix =
std::string(" pad_h = ") + std::to_string(pad_h) +
std::string(" pad_w = ") + std::to_string(pad_w) +
std::string(" stride_h = ") + std::to_string(stride_h) +
std::string(" stride_w = ") + std::to_string(stride_w) +
- std::string(" row = ") + std::to_string(row) +
- std::string(" col = ") + std::to_string(col) +
- std::string(" offset = ") + std::to_string(offset);
+ std::string(" row = ") + std::to_string(row) + std::string(" col = ") +
+ std::to_string(col) + std::string(" offset = ") +
+ std::to_string(offset);
-
std::string test_name = std::string("PERF_FP32 ") + suffix;
unitTestResults.compareTensors((Tensor *)res, (Tensor *)res_sim, 0.05,
@@ -713,12 +707,10 @@ void testPerforationCalls(void *input, void *filter, int pad_h, int pad_w,
fp16_test_name);
std::string cpu_test_name = std::string("PERF_CPU ") + suffix;
- unitTestResults.compareTensors((Tensor *) res_cpu, (Tensor *)res_sim, 0.05,
+ unitTestResults.compareTensors((Tensor *)res_cpu, (Tensor *)res_sim, 0.05,
cpu_test_name);
-
}
-
printf("\n\n\n--- End of Test \n\n\n");
}
@@ -763,7 +755,6 @@ void testPerforation(UnitTestResults &unitTestResults) {
testPerforationCalls(input, filter, 1, 1, 2, 2, 1, 4, unitTestResults);
testPerforationCalls(input, filter, 1, 1, 2, 2, 4, 1, unitTestResults);
-
}
void testSampling() {
@@ -825,7 +816,7 @@ void testSampling() {
void testSamplingCalls(void *input, void *filter, int pad_h, int pad_w,
int stride_h, int stride_w, int skip_every,
- std::string filter_string,
+ std::string filter_string,
UnitTestResults &unitTestResults) {
float interpolation_rate = 1.0;
@@ -868,17 +859,16 @@ void testSamplingCalls(void *input, void *filter, int pad_h, int pad_w,
printf("\nConvApprox Result :");
printTensorValues(res);
-
hpvm_request_tensor(input, HOST);
hpvm_request_tensor(filter, HOST);
- void *res_cpu = tensorConvApproxCPU(input, filter, pad_h, pad_w,
- stride_h, stride_w, 1, 1, 1, 1, skip_every, offset);
-
+ void *res_cpu =
+ tensorConvApproxCPU(input, filter, pad_h, pad_w, stride_h, stride_w, 1,
+ 1, 1, 1, skip_every, offset);
+
printf("\nConvApproxCPU Result :");
printTensorValues(res_cpu);
-
void *res_half =
tensorConvApproxHalf2(input, filter, pad_h, pad_w, stride_h, stride_w,
1, 1, 1, 1, skip_every, offset);
@@ -889,13 +879,13 @@ void testSamplingCalls(void *input, void *filter, int pad_h, int pad_w,
printTensorValues(res_half);
std::string suffix =
- "filter = " + std::string(filter_string) +
- std::string(" pad_h = ") + std::to_string(pad_h) +
- std::string(" pad_w = ") + std::to_string(pad_w) +
- std::string(" stride_h = ") + std::to_string(stride_h) +
- std::string(" stride_w = ") + std::to_string(stride_w) +
- std::string(" skip_every = ") + std::to_string(skip_every) +
- std::string(" offset = ") + std::to_string(offset);
+ "filter = " + std::string(filter_string) + std::string(" pad_h = ") +
+ std::to_string(pad_h) + std::string(" pad_w = ") +
+ std::to_string(pad_w) + std::string(" stride_h = ") +
+ std::to_string(stride_h) + std::string(" stride_w = ") +
+ std::to_string(stride_w) + std::string(" skip_every = ") +
+ std::to_string(skip_every) + std::string(" offset = ") +
+ std::to_string(offset);
std::string test_name = std::string("SAMP_FP32 ") + suffix;
@@ -907,7 +897,7 @@ void testSamplingCalls(void *input, void *filter, int pad_h, int pad_w,
fp16_test_name);
std::string cpu_test_name = std::string("SAMP_CPU ") + suffix;
- unitTestResults.compareTensors((Tensor *) res_cpu, (Tensor *)res_sim, 0.05,
+ unitTestResults.compareTensors((Tensor *)res_cpu, (Tensor *)res_sim, 0.05,
cpu_test_name);
}
@@ -928,7 +918,7 @@ void testSampling_3_3(UnitTestResults &unitTestResults) {
fillTensorWithVal(filter, 1);
float *host_ptr = (float *)((struct Tensor *)filter)->host_data;
- host_ptr[0] = 10;
+ host_ptr[0] = 10;
host_ptr[2] = 2;
host_ptr[4] = 2;
host_ptr[6] = 2;
diff --git a/hpvm/projects/gpu_profiler/src/profiler.cpp b/hpvm/projects/hpvm-tensor-rt/gpu_profiler/profiler.cpp
similarity index 100%
rename from hpvm/projects/gpu_profiler/src/profiler.cpp
rename to hpvm/projects/hpvm-tensor-rt/gpu_profiler/profiler.cpp
diff --git a/hpvm/projects/gpu_profiler/include/profiler.h b/hpvm/projects/hpvm-tensor-rt/gpu_profiler/profiler.h
similarity index 100%
rename from hpvm/projects/gpu_profiler/include/profiler.h
rename to hpvm/projects/hpvm-tensor-rt/gpu_profiler/profiler.h
diff --git a/hpvm/projects/soc_simulator/src/promise_timing_model.cpp b/hpvm/projects/hpvm-tensor-rt/soc_simulator/promise_timing_model.cpp
similarity index 100%
rename from hpvm/projects/soc_simulator/src/promise_timing_model.cpp
rename to hpvm/projects/hpvm-tensor-rt/soc_simulator/promise_timing_model.cpp
diff --git a/hpvm/projects/soc_simulator/include/promise_timing_model.h b/hpvm/projects/hpvm-tensor-rt/soc_simulator/promise_timing_model.h
similarity index 100%
rename from hpvm/projects/soc_simulator/include/promise_timing_model.h
rename to hpvm/projects/hpvm-tensor-rt/soc_simulator/promise_timing_model.h
diff --git a/hpvm/projects/hpvm-tensor-rt/tensor_runtime/include/hpvm-rt-controller.h b/hpvm/projects/hpvm-tensor-rt/tensor_runtime/include/hpvm-rt-controller.h
index cbd44313873a5ed79a94a17c54ca4d8e57cf09d4..03b46ca5a3b30fc2287307f306b0ca2d8e450828 100644
--- a/hpvm/projects/hpvm-tensor-rt/tensor_runtime/include/hpvm-rt-controller.h
+++ b/hpvm/projects/hpvm-tensor-rt/tensor_runtime/include/hpvm-rt-controller.h
@@ -128,7 +128,7 @@ public:
unsigned long getIterationFrequency();
- void set_out_file_name(std::string &str);
+ void set_out_file_name(const std::string &str);
void printToFile();
diff --git a/hpvm/projects/hpvm-tensor-rt/tensor_runtime/src/hpvm-rt-controller.cpp b/hpvm/projects/hpvm-tensor-rt/tensor_runtime/src/hpvm-rt-controller.cpp
index 77ef5a396be425816ad093afdb13efe8f42cbd75..bea66370ba073490fe7970014f1005f123e58988 100644
--- a/hpvm/projects/hpvm-tensor-rt/tensor_runtime/src/hpvm-rt-controller.cpp
+++ b/hpvm/projects/hpvm-tensor-rt/tensor_runtime/src/hpvm-rt-controller.cpp
@@ -265,7 +265,9 @@ double ProfileInfo::getCurrentIterationComputeEnergy() {
return energy_compute_current_iteration;
}
-void ProfileInfo::set_out_file_name(std::string &str) { out_file_name = str; }
+void ProfileInfo::set_out_file_name(const std::string &str) {
+ out_file_name = str;
+}
void ProfileInfo::printToFile() {
INFO("Writing Runtime Profile Info File...\n");
@@ -430,11 +432,11 @@ NodeConfiguration *RuntimeController::getNodeConfiguration(const char *data) {
}
void RuntimeController::init(const char *Cstr) {
- INFO("INIT RUNTIME CONTROLLER ==================\n");
- printf("INIT RUNTIME CONTROLLER ==================\n");
+ INFO("INIT RUNTIME CONTROLLER ==================\n");
+ printf("INIT RUNTIME CONTROLLER ==================\n");
// We initialize the path to the profile info output file,
// based on the path given for the configuration file
- setProfileInfoFilename(Cstr);
+ PI->set_out_file_name("profile_info.txt");
readConfigurationFile(Cstr);
// NOTE: Configurations is pareto-configs. InitialConfigurations is the full
@@ -636,27 +638,6 @@ RuntimeController::~RuntimeController() {
// are stored in different containers, but share the node setup
}
-void RuntimeController::setProfileInfoFilename(const char *str) {
-
- if (PI) {
- std::string file_path = std::string(str);
- size_t idx = file_path.find_last_of("/");
- file_path.erase(idx + 1);
- file_path.append("profile_info_");
-
- bool found = false;
- std::string profile_filename;
- for (unsigned i = 0; !found; i++) {
- profile_filename = file_path;
- profile_filename.append(std::to_string(i));
- profile_filename.append(".txt");
- found = !fileExists(profile_filename);
- }
-
- PI->set_out_file_name(profile_filename);
- }
-}
-
void RuntimeController::readConfigurationFile(const char *str) {
INFO("Reading Configuration File...\n");
@@ -868,8 +849,8 @@ void RuntimeController::readConfigurationFile(const char *str) {
std::make_pair(tokens[0], NodeConf));
InitialConfigurations.back().idConfigMap.insert(
- std::make_pair(firstTensorID, NodeConf));
- INFO("*** firstTensorID = %d \n\n", firstTensorID);
+ std::make_pair(firstTensorID, NodeConf));
+ INFO("*** firstTensorID = %d \n\n", firstTensorID);
INFO("FIXED CPU ID ISSUE\n");
unsigned idx = 2;
while (idx < tokens.size()) {
diff --git a/hpvm/projects/predtuner b/hpvm/projects/predtuner
index 9c2482aeb8db796b9f5578d0c342b5e5d0e8b376..2fbd6f876c34bfdbcbddc71cd73646e71bde5748 160000
--- a/hpvm/projects/predtuner
+++ b/hpvm/projects/predtuner
@@ -1 +1 @@
-Subproject commit 9c2482aeb8db796b9f5578d0c342b5e5d0e8b376
+Subproject commit 2fbd6f876c34bfdbcbddc71cd73646e71bde5748
diff --git a/hpvm/projects/soc_simulator/CMakeLists.txt b/hpvm/projects/soc_simulator/CMakeLists.txt
deleted file mode 100644
index 6a78ce1ce5ea16a119838c71b195b4c1e0209010..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/CMakeLists.txt
+++ /dev/null
@@ -1,5 +0,0 @@
-cmake_minimum_required(VERSION 3.5)
-set(libsrc src/promise_timing_model.cpp)
-set (CMAKE_CXX_STANDARD 11)
-add_library(promise_profiler STATIC ${libsrc})
-target_include_directories(promise_profiler PRIVATE include)
diff --git a/hpvm/projects/soc_simulator/README.md b/hpvm/projects/soc_simulator/README.md
deleted file mode 100644
index 218c16985b64069e154f16ce1916208b93aa6b66..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/README.md
+++ /dev/null
@@ -1,8 +0,0 @@
-# Tegra TX2 Soc Simulator
-
-## Build
-
-```shell
-mkdir lib
-cmake ../
-make
diff --git a/hpvm/projects/soc_simulator/SOCSimulatorCommands.md b/hpvm/projects/soc_simulator/SOCSimulatorCommands.md
deleted file mode 100644
index f9b0adea5507639b8a35f770efb5455e1bf6fe4a..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/SOCSimulatorCommands.md
+++ /dev/null
@@ -1,127 +0,0 @@
-# SOC Simulator Commands
-
-## Setup
-Log into underworld and cd into Gitlab/hpvm/llvm/projects/soc_simulator/src.
-
-## Image Benchmarks
-### Canny
-python driver.py canny_dummy_layers.txt canny_table_gen/canny_results/canny_tensors.txt /home/nvidia/sd_card/hpvm_img/llvm/test/VISC/DNN_Benchmarks/benchmarks/canny_test/data/autotuner_data/tuner_confs_25_ported.txt /home/nvidia/sd_card/hpvm_img/llvm/test/VISC/DNN_Benchmarks/benchmarks/canny_test/data/soc_data/tuner_confs_25_ported.txt
-
-python driver.py canny_dummy_layers.txt canny_table_gen/canny_results/canny_tensors.txt /home/nvidia/sd_card/hpvm_img/llvm/test/VISC/DNN_Benchmarks/benchmarks/canny_test/data/autotuner_data/tuner_confs_30_ported.txt /home/nvidia/sd_card/hpvm_img/llvm/test/VISC/DNN_Benchmarks/benchmarks/canny_test/data/soc_data/tuner_confs_30_ported.txt
-
-### Blending
-python driver.py blending_dummy_layers.txt ~/sd_card/HPVMApprox/tensor_tables/blend_results/blend_tensors.txt ~/sd_card/hpvm_img/llvm/test/VISC/DNN_Benchmarks/benchmarks/blending/data/autotuner_data/tuner_confs_25.txt ~/sd_card/hpvm_img/llvm/test/VISC/DNN_Benchmarks/benchmarks/blending/data/soc_data/tuner_confs_25.txt
-
-python driver.py blending_dummy_layers.txt ~/sd_card/HPVMApprox/tensor_tables/blend_results/blend_tensors.txt ~/sd_card/hpvm_img/llvm/test/VISC/DNN_Benchmarks/benchmarks/blending/data/autotuner_data/tuner_confs_30.txt ~/sd_card/hpvm_img/llvm/test/VISC/DNN_Benchmarks/benchmarks/blending/data/soc_data/tuner_confs_30.txt
-
-
-## DNN Benchmarks
-### alexnet2
-python driver_new_config_fp16_repl.py ~/soc_simulator/alexnet2_cifar10/alexnet2_layers.txt ~/sd_card/HPVMApprox/tensor_tables/alexnet2_results/alexnet2_tensors.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/alexnet2/data/autotuner_data/tuner_confs_batch220.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/alexnet2/data/soc_data/tuner_confs_batch220.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/alexnet2_cifar10/alexnet2_layers.txt ~/sd_card/HPVMApprox/tensor_tables/alexnet2_results/alexnet2_tensors.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/alexnet2/data/autotuner_data/tuner_pareto_confs_batch220.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/alexnet2/data/soc_data/tuner_pareto_confs_batch220.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/alexnet2_cifar10/alexnet2_layers.txt ~/sd_card/HPVMApprox/tensor_tables/alexnet2_results/alexnet2_tensors.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/alexnet2/data/autotuner_data/tuner_promise_confs_batch220_multi.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/alexnet2/data/soc_data/tuner_promise_confs_batch220_multi.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/alexnet2_cifar10/alexnet2_layers.txt ~/sd_card/HPVMApprox/tensor_tables/alexnet2_results/alexnet2_tensors.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/alexnet2/data/autotuner_data/tuner_promise_confs_batch220_single.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/alexnet2/data/soc_data/tuner_promise_confs_batch220_single.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/alexnet2_cifar10/alexnet2_layers.txt ~/sd_card/HPVMApprox/tensor_tables/alexnet2_results/alexnet2_tensors.txt ~/sd_card/HPVMApprox/results/federated_tuning/alexnet2_3.txt /home/nvidia/sd_card/HPVMApprox/generated_tuner_confs/alexnet2/alexnet2_3.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/alexnet2_cifar10/alexnet2_layers.txt ~/sd_card/HPVMApprox/tensor_tables/alexnet2_results/alexnet2_tensors.txt ~/sd_card/HPVMApprox/results/federated_tuning/alexnet2_20.txt /home/nvidia/sd_card/HPVMApprox/generated_tuner_confs/alexnet2/alexnet2_20.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/alexnet2_cifar10/alexnet2_layers.txt ~/sd_card/HPVMApprox/tensor_tables/alexnet2_results/alexnet2_tensors.txt ~/sd_card/HPVMApprox/results/standard_tuning/alexnet2_single2.txt /home/nvidia/sd_card/HPVMApprox/generated_tuner_confs/alexnet2/alexnet2_single2.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/alexnet2_cifar10/alexnet2_layers.txt ~/sd_card/HPVMApprox/tensor_tables/alexnet2_results/alexnet2_tensors.txt ~/sd_card/HPVMApprox/results/standard_tuning/alexnet2_single2.txt /home/nvidia/sd_card/HPVMApprox/generated_tuner_confs/alexnet2/alexnet2_single2.txt
-
-### alexnet
-python driver_new_config_fp16_repl.py ~/soc_simulator/alexnet_cifar10/alexnet_layers.txt ~/sd_card/HPVMApprox/tensor_tables/alexnet_results/alexnet_tensors.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/alexnet/data/autotuner_data/tuner_confs_batch220.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/alexnet/data/soc_data/tuner_confs_batch220.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/alexnet_cifar10/alexnet_layers.txt ~/sd_card/HPVMApprox/tensor_tables/alexnet_results/alexnet_tensors.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/alexnet/data/autotuner_data/tuner_pareto_confs_batch220.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/alexnet/data/soc_data/tuner_pareto_confs_batch220.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/alexnet_cifar10/alexnet_layers.txt ~/sd_card/HPVMApprox/tensor_tables/alexnet_results/alexnet_tensors.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/alexnet/data/autotuner_data/tuner_promise_confs_batch220_multi.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/alexnet/data/soc_data/tuner_promise_confs_batch220_multi.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/alexnet_cifar10/alexnet_layers.txt ~/sd_card/HPVMApprox/tensor_tables/alexnet_results/alexnet_tensors.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/alexnet/data/autotuner_data/tuner_promise_confs_batch220_single.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/alexnet/data/soc_data/tuner_promise_confs_batch220_single.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/alexnet_cifar10/alexnet_layers.txt ~/sd_card/HPVMApprox/tensor_tables/alexnet_results/alexnet_tensors.txt ~/sd_card/HPVMApprox/results/federated_tuning/alexnet3.txt /home/nvidia/sd_card/HPVMApprox/generated_tuner_confs/alexnet/alexnet3.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/alexnet_cifar10/alexnet_layers.txt ~/sd_card/HPVMApprox/tensor_tables/alexnet_results/alexnet_tensors.txt ~/sd_card/HPVMApprox/results/federated_tuning/alexnet_20.txt /home/nvidia/sd_card/HPVMApprox/generated_tuner_confs/alexnet/alexnet_20.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/alexnet_cifar10/alexnet_layers.txt ~/sd_card/HPVMApprox/tensor_tables/alexnet_results/alexnet_tensors.txt ~/sd_card/HPVMApprox/results/standard_tuning/alexnet_single2.txt /home/nvidia/sd_card/HPVMApprox/generated_tuner_confs/alexnet/alexnet_single2.txt
-
-### resnet
-python driver_new_config_fp16_repl.py ~/soc_simulator/resnet18_cifar10/resnet18_layers.txt ~/sd_card/HPVMApprox/tensor_tables/resnet18_results/resnet18_tensors.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/resnet18/data/autotuner_data/tuner_confs_batch220.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/resnet18/data/soc_data/tuner_confs_batch220.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/resnet18_cifar10/resnet18_layers.txt ~/sd_card/HPVMApprox/tensor_tables/resnet18_results/resnet18_tensors.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/resnet18/data/autotuner_data/tuner_pareto_confs_batch220.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/resnet18/data/soc_data/tuner_pareto_confs_batch220.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/resnet18_cifar10/resnet18_layers.txt ~/sd_card/HPVMApprox/tensor_tables/resnet18_results/resnet18_tensors.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/resnet18/data/autotuner_data/tuner_promise_confs_batch220_multi.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/resnet18/data/soc_data/tuner_promise_confs_batch220_multi.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/resnet18_cifar10/resnet18_layers.txt ~/sd_card/HPVMApprox/tensor_tables/resnet18_results/resnet18_tensors.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/resnet18/data/autotuner_data/tuner_promise_confs_batch220_single.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/resnet18/data/soc_data/tuner_promise_confs_batch220_single.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/resnet18_cifar10/resnet18_layers.txt ~/sd_card/HPVMApprox/tensor_tables/resnet18_results/resnet18_tensors.txt ~/sd_card/HPVMApprox/results/federated_tuning/resnet3.txt /home/nvidia/sd_card/HPVMApprox/generated_tuner_confs/resnet18/resnet3.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/resnet18_cifar10/resnet18_layers.txt ~/sd_card/HPVMApprox/tensor_tables/resnet18_results/resnet18_tensors.txt ~/sd_card/HPVMApprox/results/federated_tuning/resnet_20.txt /home/nvidia/sd_card/HPVMApprox/generated_tuner_confs/resnet18/resnet_20.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/resnet18_cifar10/resnet18_layers.txt ~/sd_card/HPVMApprox/tensor_tables/resnet18_results/resnet18_tensors.txt ~/sd_card/HPVMApprox/results/standard_tuning/resnet_single2.txt /home/nvidia/sd_card/HPVMApprox/generated_tuner_confs/resnet18/resnet_single2.txt
-
-
-### mobilenet
-python driver_new_config_fp16_repl.py ~/soc_simulator/mobilenet_cifar10/mobilenet_layers.txt ~/sd_card/HPVMApprox/tensor_tables/mobilenet_results/mobilenet_tensors.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/mobilenet/data/autotuner_data/tuner_confs_batch220.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/mobilenet/data/soc_data/tuner_confs_batch220.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/mobilenet_cifar10/mobilenet_layers.txt ~/sd_card/HPVMApprox/tensor_tables/mobilenet_results/mobilenet_tensors.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/mobilenet/data/autotuner_data/tuner_pareto_confs_batch220.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/mobilenet/data/soc_data/tuner_pareto_confs_batch220.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/mobilenet_cifar10/mobilenet_layers.txt ~/sd_card/HPVMApprox/tensor_tables/mobilenet_results/mobilenet_tensors.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/mobilenet/data/autotuner_data/tuner_promise_confs_batch220_multi2.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/mobilenet/data/soc_data/tuner_promise_confs_batch220_multi.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/mobilenet_cifar10/mobilenet_layers.txt ~/sd_card/HPVMApprox/tensor_tables/mobilenet_results/mobilenet_tensors.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/mobilenet/data/autotuner_data/tuner_promise_confs_batch220_single.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/mobilenet/data/soc_data/tuner_promise_confs_batch220_single.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/mobilenet_cifar10/mobilenet_layers.txt ~/sd_card/HPVMApprox/tensor_tables/mobilenet_results/mobilenet_tensors.txt ~/sd_card/HPVMApprox/results/federated_tuning/mobilenet3.txt /home/nvidia/sd_card/HPVMApprox/generated_tuner_confs/mobilenet/mobilenet3.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/mobilenet_cifar10/mobilenet_layers.txt ~/sd_card/HPVMApprox/tensor_tables/mobilenet_results/mobilenet_tensors.txt ~/sd_card/HPVMApprox/results/federated_tuning/mobilenet_20.txt /home/nvidia/sd_card/HPVMApprox/generated_tuner_confs/mobilenet/mobilenet_20.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/mobilenet_cifar10/mobilenet_layers.txt ~/sd_card/HPVMApprox/tensor_tables/mobilenet_results/mobilenet_tensors.txt ~/sd_card/HPVMApprox/results/standard_tuning/mobilenet_single2.txt /home/nvidia/sd_card/HPVMApprox/generated_tuner_confs/mobilenet/mobilenet_single2.txt
-
-
-### lenet
-python driver_new_config_fp16_repl.py ~/soc_simulator/lenet_mnist/lenet_layers.txt ~/sd_card/HPVMApprox/tensor_tables/lenet_results/lenet_tensors.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/lenet_mnist/data/autotuner_data/tuner_confs_batch220.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/lenet_mnist/data/soc_data/tuner_confs_batch220.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/lenet_mnist/lenet_layers.txt ~/sd_card/HPVMApprox/tensor_tables/lenet_results/lenet_tensors.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/lenet_mnist/data/autotuner_data/tuner_pareto_confs_batch220.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/lenet_mnist/data/soc_data/tuner_pareto_confs_batch220.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/lenet_mnist/lenet_layers.txt ~/sd_card/HPVMApprox/tensor_tables/lenet_results/lenet_tensors.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/lenet_mnist/data/autotuner_data/tuner_promise_confs_batch220_multi.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/lenet_mnist/data/soc_data/tuner_promise_confs_batch220_multi.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/lenet_mnist/lenet_layers.txt ~/sd_card/HPVMApprox/tensor_tables/lenet_results/lenet_tensors.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/lenet_mnist/data/autotuner_data/tuner_promise_confs_batch220_single.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/lenet_mnist/data/soc_data/tuner_promise_confs_batch220_single.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/lenet_mnist/lenet_layers.txt ~/sd_card/HPVMApprox/tensor_tables/lenet_results/lenet_tensors.txt ~/sd_card/HPVMApprox/results/federated_tuning/lenet3.txt /home/nvidia/sd_card/HPVMApprox/generated_tuner_confs/lenet_mnist/lenet3.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/lenet_mnist/lenet_layers.txt ~/sd_card/HPVMApprox/tensor_tables/lenet_results/lenet_tensors.txt ~/sd_card/HPVMApprox/results/federated_tuning/lenet_20.txt /home/nvidia/sd_card/HPVMApprox/generated_tuner_confs/lenet_mnist/lenet_20.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/lenet_mnist/lenet_layers.txt ~/sd_card/HPVMApprox/tensor_tables/lenet_results/lenet_tensors.txt ~/sd_card/HPVMApprox/results/standard_tuning/lenet_single2.txt /home/nvidia/sd_card/HPVMApprox/generated_tuner_confs/lenet_mnist/lenet_single2.txt
-
-### vgg16_10
-python driver_new_config_fp16_repl.py ~/soc_simulator/vgg16_cifar10/vgg16_layers.txt ~/sd_card/HPVMApprox/tensor_tables/vgg16_cifar10_results/vgg16_cifar10_tensors.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/vgg16_cifar10/data/autotuner_data/tuner_confs_batch220.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/vgg16_cifar10/data/soc_data/tuner_confs_batch220.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/vgg16_cifar10/vgg16_layers.txt ~/sd_card/HPVMApprox/tensor_tables/vgg16_cifar10_results/vgg16_cifar10_tensors.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/vgg16_cifar10/data/autotuner_data/tuner_pareto_confs_batch220.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/vgg16_cifar10/data/soc_data/tuner_pareto_confs_batch220.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/vgg16_cifar10/vgg16_layers.txt ~/sd_card/HPVMApprox/tensor_tables/vgg16_cifar10_results/vgg16_cifar10_tensors.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/vgg16_cifar10/data/autotuner_data/tuner_promise_confs_batch220_multi.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/vgg16_cifar10/data/soc_data/tuner_promise_confs_batch220_multi.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/vgg16_cifar10/vgg16_layers.txt ~/sd_card/HPVMApprox/tensor_tables/vgg16_cifar10_results/vgg16_cifar10_tensors.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/vgg16_cifar10/data/autotuner_data/tuner_promise_confs_batch220_single.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/vgg16_cifar10/data/soc_data/tuner_promise_confs_batch220_single.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/vgg16_cifar10/vgg16_layers.txt ~/sd_card/HPVMApprox/tensor_tables/vgg16_cifar10_results/vgg16_cifar10_tensors.txt ~/sd_card/HPVMApprox/results/federated_tuning/vgg16_10_3.txt /home/nvidia/sd_card/HPVMApprox/generated_tuner_confs/vgg16_cifar10/vgg16_10_3.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/vgg16_cifar10/vgg16_layers.txt ~/sd_card/HPVMApprox/tensor_tables/vgg16_cifar10_results/vgg16_cifar10_tensors.txt ~/sd_card/HPVMApprox/results/federated_tuning/vgg16_10_20.txt /home/nvidia/sd_card/HPVMApprox/generated_tuner_confs/vgg16_cifar10/vgg16_10_20.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/vgg16_cifar10/vgg16_layers.txt ~/sd_card/HPVMApprox/tensor_tables/vgg16_cifar10_results/vgg16_cifar10_tensors.txt ~/sd_card/HPVMApprox/results/standard_tuning/vgg16_10_single2.txt /home/nvidia/sd_card/HPVMApprox/generated_tuner_confs/vgg16_cifar10/vgg16_10_single2.txt
-
-
-### vgg16_100
-python driver_new_config_fp16_repl.py ~/soc_simulator/vgg16_cifar100/vgg16_layers.txt ~/sd_card/HPVMApprox/tensor_tables/vgg16_cifar100_results/vgg16_cifar100_tensors.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/vgg16_cifar100/data/autotuner_data/tuner_confs_batch220.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/vgg16_cifar100/data/soc_data/tuner_confs_batch220.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/vgg16_cifar100/vgg16_layers.txt ~/sd_card/HPVMApprox/tensor_tables/vgg16_cifar100_results/vgg16_cifar100_tensors.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/vgg16_cifar100/data/autotuner_data/tuner_pareto_confs_batch220.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/vgg16_cifar100/data/soc_data/tuner_pareto_confs_batch220.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/vgg16_cifar100/vgg16_layers.txt ~/sd_card/HPVMApprox/tensor_tables/vgg16_cifar100_results/vgg16_cifar100_tensors.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/vgg16_cifar100/data/autotuner_data/tuner_promise_confs_batch220_multi.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/vgg16_cifar100/data/soc_data/tuner_promise_confs_batch220_multi.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/vgg16_cifar100/vgg16_layers.txt ~/sd_card/HPVMApprox/tensor_tables/vgg16_cifar100_results/vgg16_cifar100_tensors.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/vgg16_cifar100/data/autotuner_data/tuner_promise_confs_batch220_single.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/vgg16_cifar100/data/soc_data/tuner_promise_confs_batch220_single.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/vgg16_cifar100/vgg16_layers.txt ~/sd_card/HPVMApprox/tensor_tables/vgg16_cifar100_results/vgg16_cifar100_tensors.txt ~/sd_card/HPVMApprox/results/federated_tuning/vgg16_100_3.txt /home/nvidia/sd_card/HPVMApprox/generated_tuner_confs/vgg16_cifar100/vgg16_100_3.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/vgg16_cifar100/vgg16_layers.txt ~/sd_card/HPVMApprox/tensor_tables/vgg16_cifar100_results/vgg16_cifar100_tensors.txt ~/sd_card/HPVMApprox/results/federated_tuning/vgg16_100_20.txt /home/nvidia/sd_card/HPVMApprox/generated_tuner_confs/vgg16_cifar100/vgg16_100_20.txt
-
-python driver_new_config_fp16_repl.py ~/soc_simulator/vgg16_cifar100/vgg16_layers.txt ~/sd_card/HPVMApprox/tensor_tables/vgg16_cifar100_results/vgg16_cifar100_tensors.txt ~/sd_card/HPVMApprox/results/standard_tuning/vgg16_100_single2.txt /home/nvidia/sd_card/HPVMApprox/generated_tuner_confs/vgg16_cifar100/vgg16_100_single2.txt
diff --git a/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_confs1.txt b/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_confs1.txt
deleted file mode 100644
index f8add8f3feabc93963e6f75fbce1ace36412ad07..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_confs1.txt
+++ /dev/null
@@ -1,16 +0,0 @@
-9 9 9,9 9 9 9,9 9 9,9 9 9 9,9 9 9,9 9 9 9,9 9
-9 9 9,7,7,7,9 9 9,9 9 9 9,9 9
-9 9 9,7,7,7,9 9 9,8 8 8 8,9 9
-9 9 9,7,7,7,8 8 8,9 9 9 9,9 9
-9 9 9,7,7,7,9 9 9,7,9 9
-9 9 9,7,7,7,9 9 9,7,9 9
-9 9 9,7,9 9 9,7,9 9 9,7,9 9
-9 9 9,7,7,7,9 9 9,9 9 9 9,9 9
-9 9 9,7,7,7,8 8 8,9 9 9 9,9 9
-9 9 9,7,7,7,9 9 9,7,9 9
-9 9 9,7,7,7,9 9 9,7,9 9
-9 9 9,7,7,7,9 9 9,7,9 9
-9 9 9,7,7,7,9 9 9,9 9 9 9,9 9
-9 9 9,7,7,7,9 9 9,8 8 8 8,9 9
-9 9 9,7,7,7,9 9 9,7,9 9
-9 9 9,7,7,7,8 8 8,9 9 9 9,9 9
diff --git a/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_confs2.txt b/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_confs2.txt
deleted file mode 100644
index da9dce2be8e9649ece5376e363ede5b3a84629fe..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_confs2.txt
+++ /dev/null
@@ -1,19 +0,0 @@
-9 9 9,9 9 9 9,9 9 9,9 9 9 9,9 9 9,9 9 9 9,9 9
-9 9 9,6,8 8 8,6,6,6,9 9
-9 9 9,6,8 8 8,6,6,6,9 9
-9 9 9,6,8 8 8,6,6,7,9 9
-9 9 9,6,8 8 8,9 9 9 9,6,6,9 9
-9 9 9,6,8 8 8,6,8 8 8,6,9 9
-9 9 9,6,8 8 8,6,6,6,9 9
-9 9 9,6,8 8 8,6,6,6,9 9
-9 9 9,6,8 8 8,6,6,6,9 9
-9 9 9,6,8 8 8,6,6,6,9 9
-9 9 9,6,8 8 8,6,6,7,9 9
-9 9 9,6,8 8 8,9 9 9 9,6,6,9 9
-9 9 9,6,8 8 8,6,8 8 8,6,9 9
-9 9 9,6,8 8 8,6,6,6,9 9
-9 9 9,6,8 8 8,6,6,7,9 9
-9 9 9,6,8 8 8,6,6,6,9 9
-9 9 9,7,7,6,8 8 8,6,9 9
-9 9 9,6,8 8 8,9 9 9 9,6,6,9 9
-9 9 9,6,8 8 8,6,6,6,9 9
diff --git a/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_fp16.csv b/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_fp16.csv
deleted file mode 100644
index 2414bed90d2339bb232800ceccf1711302aa4174..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_fp16.csv
+++ /dev/null
@@ -1,70 +0,0 @@
-Add1,36.2217,116.852,62.3719,54.4799,6479.76,3464.4,3015.35,25.6183,86.2375,47.824,39.0211,4798.11,2666.76,2164.16
-Add1_f2h,56.9247,172.83,93.6324,79.1972,6048.31,3271.98,2776.33,40.2841,129.638,73.389,57.1983,4518.79,2553.55,1999.31
-Add1_h2f,41.6054,134.411,71.4991,62.9117,6462.47,3437.92,3024.54,29.4206,98.8293,54.3763,45.0458,4752.33,2615.03,2165.77
-Add2,35.0236,153.259,99.7851,53.4736,8759.13,5703.66,3055.47,24.7684,108.633,70.7873,37.8589,6213.07,4049.51,2164.3
-Add2_f2h,158.537,686.903,462.538,224.365,8696.58,5858.33,2838.26,112.305,486.692,327.861,158.872,6171.91,4160.96,2011.47
-Add2_h2f,41.5412,177.63,114.226,63.4042,8551.44,5498.99,3052.45,29.3753,125.993,81.1067,44.9049,6064.86,3904.13,2161.65
-Add3,21.2537,100.994,63.1299,37.8636,9509.91,5945.29,3564.62,15.0519,71.5273,44.7163,26.8142,6729.98,4208.46,2521.83
-Add3_f2h,28.3975,126.566,79.763,46.8029,8911.18,5615.63,3295.55,20.0846,89.624,56.5024,33.1257,6306.83,3975.68,2331.45
-Add3_h2f,20.9649,93.9519,58.396,35.5559,8962.73,5570.82,3391.91,14.8261,66.498,41.3441,25.1571,6342.95,3943.66,2399.6
-Add4,19.4384,96.5969,63.7597,32.8372,9942.78,6562.79,3380,13.7631,68.3882,45.1432,23.2456,7033.19,4642.48,2390.77
-Add4_f2h,76.34,366.744,245.383,121.361,9608.93,6429.36,3179.57,54.0262,259.574,173.68,85.8957,6795.77,4547.27,2248.55
-Add4_h2f,20.8326,97.3319,63.8484,33.4835,9343.97,6129.52,3214.45,14.7322,68.8549,45.1702,23.6853,6609.33,4335.85,2273.54
-Add5,19.2262,98.1635,63.363,34.8005,10213,6592.51,3620.45,13.5983,69.4422,44.8239,24.6189,7224.11,4663.35,2560.82
-Add5_f2h,14.7236,68.2983,44.2206,24.0777,9277.35,6006.75,3270.59,10.4122,48.3256,31.2902,17.0358,6563.72,4249.95,2313.82
-Add5_h2f,10.5498,48.5475,31.279,17.2686,9203.37,5929.71,3273.66,7.46111,34.3694,22.1444,12.2253,6514.35,4197.26,2317.14
-Add6,18.7741,98.9177,65.9587,32.959,10538.9,7027.44,3511.51,13.2788,70.0688,46.7239,23.3455,7463.67,4977.02,2486.72
-Add6_f2h,39.6841,197.748,132.575,65.1736,9965.93,6681.4,3284.52,28.0732,139.953,93.8285,46.1249,7049.93,4726.52,2323.44
-Add6_h2f,10.548,49.6626,33.0275,16.635,9451.94,6285.89,3166.05,7.48932,35.1512,23.3772,11.7744,6695.42,4452.75,2242.74
-Add7,0.658159,3.49495,2.27537,1.21958,11081.8,7217.49,3864.29,0.52552,3.31175,2.15602,1.15575,11595.3,7554.3,4041.16
-Add7_f2h,0.887661,1.49455,0.974188,0.52036,2879.78,1876.88,1002.9,0.714309,1.9336,1.26097,0.672641,3070.05,2000.93,1069.15
-Add7_h2f,0.140755,0.0381309,0.0248393,0.0132916,504.337,328.401,175.936,0.101868,0.096878,0.0630995,0.0337795,1295.66,843.266,452.404
-Conv1,200.956,558.231,289.217,269.014,5491.56,2830.66,2660.9,142.184,439.06,248.366,197.045,4285.98,2415.45,1937.47
-Conv1_f2h,6.64024,16.2201,8.18921,8.03089,4750.32,2365.55,2384.77,4.70953,13.1579,7.43711,5.95826,3789.64,2126.15,1744.54
-Conv1_h2f,41.8978,123.674,68.3327,55.3409,5907.39,3264.34,2643.05,29.6316,93.3619,54.0372,40.0462,4460.74,2582.14,1913.01
-Conv2,610.501,2404.06,1472.21,931.848,8000.29,4920.48,3079.81,433.644,1704.25,1048.11,658.96,5732.95,3554.54,2187.14
-Conv2_f2h,56.8745,201.057,104.016,97.0408,7053.45,3645.39,3408.06,40.2486,145.587,76.9607,69.1825,5092.26,2687.52,2424.64
-Conv2_h2f,41.8404,192.576,135.567,57.0093,9205.52,6480.36,2725.15,29.5868,136.713,96.2778,40.438,6535.05,4602.22,1932.98
-Conv3,188.912,837.371,508.274,329.097,8868.48,5383.62,3484.86,133.617,592.676,359.91,232.821,6277.65,3812.98,2465.25
-Conv3_f2h,15.6031,66.3758,39.8497,26.5262,8494.73,5098.38,3396.35,11.0572,47.1949,28.3617,18.8384,6017.1,3613.78,2403.98
-Conv3_h2f,21.0237,93.63,59.667,33.963,8906.6,5675.84,3230.76,14.8682,66.2814,42.2505,24.0337,6303.73,4018.24,2285.77
-Conv4,284.927,1346.18,857.932,488.249,9448.68,6021.77,3426.9,201.502,952.374,607.015,345.376,6683.2,4259.76,2423.56
-Conv4_f2h,28.3107,127.724,77.4371,50.2866,9022.12,5469.86,3552.26,20.0267,90.4336,54.8443,35.5938,6384.94,3872.03,2513.22
-Conv4_h2f,20.9833,102.055,69.6208,32.434,9727.36,6635.93,3091.43,14.8387,72.2015,49.2568,22.9451,6881.39,4694.6,2186.84
-Conv5,86.4203,417.756,265.595,152.161,9668.23,6146.81,3521.41,61.1232,295.494,187.871,107.626,6837.22,4347.11,2490.16
-Conv5_f2h,8.38767,36.7727,23.2235,13.5492,8765.45,5535.76,3229.69,5.9326,26.0583,16.4576,9.60107,6207.8,3920.67,2287.22
-Conv5_h2f,10.6053,48.7992,31.7579,17.0412,9202.4,5988.83,3213.57,7.5001,34.5413,22.48,12.0618,6512.52,4238.46,2274.14
-Conv6,139.892,696.675,453.631,243.043,9961.36,6486.38,3474.97,98.9321,492.663,320.792,171.874,7044.22,4587,2457.26
-Conv6_f2h,14.7838,68.8585,43.7444,25.1141,9313.71,5916.85,3396.85,10.4574,48.7457,30.9686,17.7776,6589.63,4186.51,2403.19
-Conv6_h2f,10.568,51.057,34.5719,16.4851,9662.37,6542.6,3119.77,7.47346,36.2259,24.5301,11.6961,6854.97,4641.76,2213.26
-Mul1,4.29982,22.6027,14.73,7.87274,10529.9,6862.81,3667.08,3.06206,16.1877,10.549,5.63885,7504.4,4891.15,2613.32
-Mul1_f2h,5.01057,21.4017,13.9545,7.44724,8536.09,5565.65,2970.44,3.54931,15.2502,9.94396,5.30637,6067.7,3956.33,2111.43
-Mul1_h2f,0.219266,0.10134,0.0660095,0.03533,811.894,528.683,283.211,0.163586,0.22974,0.14973,0.080012,1619.98,1054.57,565.431
-Pool1,43.674,198.246,119.456,78.7903,9078.2,5470.13,3608.07,30.8997,140.487,84.7207,55.7843,6429.35,3877.11,2553.05
-Pool1_f2h,54.8347,240.102,146.135,93.9672,8752.72,5326.68,3426.04,38.7916,170.226,103.7,66.5481,6199.29,3775.75,2424.32
-Pool1_h2f,10.6202,44.9693,27.1714,17.7978,8469.49,5117.56,3351.94,7.50988,31.8572,19.2617,12.5996,6000.37,3628.12,2373
-Pool2,22.3065,111.077,70.4439,40.6332,9958.57,6315.5,3643.07,15.7792,78.602,49.8515,28.7515,7043.82,4467.22,2576.69
-Pool2_f2h,27.6028,129.232,82.458,46.7739,9362.89,5974.06,3388.83,19.5202,91.4233,58.3375,33.0868,6622.4,4225.7,2396.77
-Pool2_h2f,5.39931,22.7498,14.4354,8.3144,8425.89,5346.44,3079.45,3.81822,16.1451,10.2449,5.9004,5978.26,3793.49,2184.86
-Pool3,12.0697,64.0871,41.917,22.1701,10618.3,6945.08,3673.23,8.53664,45.3661,29.6731,15.6935,7513.77,4914.65,2599.18
-Pool3_f2h,14.3906,68.8152,45.1258,23.6894,9563.88,6271.6,3292.28,10.1772,48.6924,31.9299,16.7629,6766.23,4437.02,2329.26
-Pool3_h2f,2.78859,10.4233,6.81839,3.60494,7474.86,4889.52,2585.34,1.97384,7.50692,4.91099,2.59601,5378.12,3518.12,1860.05
-Softmax1,2.26715,7.67319,4.99613,2.67706,6769.48,4407.84,2361.64,1.60403,5.63971,3.67227,1.96749,4973.77,3238.83,1734.98
-Tanh1,33.4466,118.003,61.6149,56.3879,7064.04,3690.25,3373.79,23.6527,85.7445,45.9758,40.1967,5137.61,2756.88,2406.17
-Tanh1_f2h,57.0977,185.926,97.1494,88.7762,6536.44,3420.5,3115.94,40.4191,135.633,73.0493,63.3674,4779.37,2580.1,2226.23
-Tanh1_h2f,41.7089,145.509,76.2065,69.3025,6978.55,3654.51,3324.04,29.4985,105.384,56.4528,49.367,5054.37,2707.22,2368.07
-Tanh2,36.2146,162.298,101.111,61.1867,8963.85,5584.56,3379.29,25.609,115.01,71.7167,43.3095,6352.26,3961.22,2391.95
-Tanh2_f2h,56.9829,242.874,153.169,89.7055,8520.54,5373.23,3147.31,40.3301,172.418,108.85,63.5934,6040.38,3813.04,2228.24
-Tanh2_h2f,41.625,182.762,113.157,69.605,8781.86,5437.35,3344.5,29.4345,129.486,80.2412,49.263,6222.04,3855.85,2367.07
-Tanh3,18.3396,88.5345,54.3058,34.2287,9654.14,5921.68,3732.46,12.9703,62.6686,38.4496,24.2216,6831.73,4191.48,2640.53
-Tanh3_f2h,28.9295,129.858,80.0577,49.7999,8969.72,5529.15,3440.56,20.4875,92.1118,56.8106,35.3056,6347.03,3913.57,2433.76
-Tanh3_h2f,20.8836,94.2318,57.6446,36.5872,9024.13,5520.31,3503.81,14.7676,66.6859,40.8043,25.8844,6385.64,3907.25,2478.66
-Tanh4,18.4717,92.4694,59.7134,32.7559,10012,6465.38,3546.6,13.0617,65.4106,42.2419,23.1693,7082.06,4573.57,2508.57
-Tanh4_f2h,28.0864,130.933,85.0439,45.8888,9321.9,6054.74,3267.16,19.8684,92.6641,60.1914,32.4736,6593.39,4282.78,2310.68
-Tanh4_h2f,20.8569,97.8308,62.9465,34.8843,9381.09,6035.98,3345.11,14.7494,69.2071,44.5324,24.6756,6635.71,4269.83,2365.97
-Tanh5,9.39612,49.9132,31.9349,17.9784,10620.9,6795.34,3825.57,6.64567,35.5193,22.7251,12.7945,7550.97,4831.1,2719.94
-Tanh5_f2h,14.9164,69.1465,44.357,24.7895,9279.12,5952.49,3326.62,10.5528,49.0071,31.4389,17.5687,6574.75,4217.83,2356.99
-Tanh5_h2f,10.5006,48.3962,30.92,17.4763,9217.58,5889.04,3328.55,7.42558,34.2539,21.8851,12.3692,6523.36,4167.82,2355.62
-Tanh6,9.37294,50.5591,33.3473,17.2118,10787.6,7115.14,3672.42,6.62805,35.791,23.607,12.1843,7635.55,5036.22,2599.38
-Tanh6_f2h,14.3859,68.827,45.5284,23.2985,9568.27,6329.29,3238.98,10.1735,48.7028,32.2173,16.4857,6769.57,4478.09,2291.52
-Tanh6_h2f,10.5241,49.2841,32.4417,16.8424,9386.9,6178.99,3207.92,7.44696,34.9422,23.0012,11.9412,6656.18,4381.49,2274.73
diff --git a/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_fp32.csv b/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_fp32.csv
deleted file mode 100644
index e2cbba7f6782a0d77ab4c7279a3a88f5acfb532d..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_fp32.csv
+++ /dev/null
@@ -1,24 +0,0 @@
-Add1,47.2501,154.498,89.5402,64.9578,6426.98,3696.33,2730.65,33.4463,121.478,76.4718,47.0638,4993.53,3124.31,1963.93
-Add2,45.3358,217.323,149.508,67.8141,9594.62,6601.66,2992.96,32.0593,156.332,108.33,48.2216,6906.53,4787.12,2129.06
-Add3,26.3653,138.399,95.847,42.5524,10500.7,7272.43,3228.23,18.6463,98.9696,68.8605,30.2012,7508.99,5224.96,2291.01
-Add4,26.3854,150.498,109.738,40.7597,11414.1,8323.45,3090.67,18.6598,107.025,78.1688,28.8878,8120.56,5932,2190.98
-Add5,24.2343,136.978,99.389,37.5888,11306.5,8204.06,3102.4,17.1387,97.2822,70.6568,26.6431,8030.37,5832.9,2198.92
-Add6,24.3243,144.761,108.644,36.1167,11913.1,8941.05,2972.07,17.2054,102.532,76.9757,25.5618,8441.39,6337.58,2104.27
-Add7,0.256741,0.108633,0.0804227,0.0282101,837.078,619.959,217.119,0.184457,0.239262,0.17707,0.0622105,1850.45,1370.8,479.791
-Conv1,115.33,355.301,207.624,147.677,5963.71,3435.06,2528.65,81.7778,290.851,188.764,108.126,4791.55,3087.45,1825.79
-Conv2,310.308,1282.26,816.061,466.203,8263.6,5259,3004.6,219.438,941.609,613.698,332.739,6067.24,3954.22,2144.15
-Conv3,165.302,812.529,542.858,269.671,10211.6,6887.29,3324.32,119.55,575.142,383.942,192.317,7329.84,4983.3,2359.48
-Conv4,303.007,1619.75,1129.02,490.726,10843.2,7579.9,3263.26,215.314,1146.48,800.497,347.114,7743.98,5437.17,2313.98
-Conv5,156.337,882.718,630.491,252.227,11295,8067.89,3227.12,110.575,626.941,448.461,178.656,8022.03,5738.71,2285.56
-Conv6,248.321,1443.4,1054.07,389.33,11626.8,8490.88,3135.95,175.601,1023.01,747.582,275.556,8241.2,6022.64,2219.57
-Mul1,2.20702,9.19011,6.8038,2.38631,8310.13,6155.01,2155.12,1.56606,6.74557,4.99224,1.75375,6073,4498.52,1574.87
-Pool1,39.1015,194.307,129.484,64.8227,9955.51,6637,3318.52,27.6862,139.26,93.4326,46.0372,7137.28,4792.17,2355.71
-Pool2,45.8717,263.305,188.721,74.5842,11476,8224.81,3251.15,32.4473,187.287,134.477,52.87,8157.05,5856.35,2303.32
-Pool3,23.8305,140.946,104.705,36.2403,11829.1,8787.6,3041.49,16.856,99.855,74.2068,25.6543,8377.95,6226.11,2152.36
-Softmax1,2.09044,8.55352,6.33795,2.21557,8172.34,6055.47,2116.87,1.4798,6.29816,4.66796,1.63058,6001.96,4448.28,1554.05
-Tanh1,39.4831,135.034,76.518,58.5163,6760.26,3809.4,2950.86,27.9698,104.297,63.7634,42.2063,5167.76,3142.26,2115.25
-Tanh2,38.504,188.321,126.889,61.4314,9782.72,6591.66,3191.06,27.2277,135.275,91.8445,43.6415,7027.36,4771.38,2266.95
-Tanh3,19.3912,101.904,69.9865,31.9174,10512.4,7220.09,3292.33,13.7121,72.8245,50.2415,22.6485,7513.77,5184.09,2336.42
-Tanh4,19.2511,109.512,79.122,30.3901,11374.4,8217.68,3156.73,13.6147,77.9259,56.4047,21.5465,8090.47,5855.69,2237.41
-Tanh5,9.61697,52.0084,37.5149,14.4935,10817.2,7802.82,3014.35,6.80077,36.934,26.6693,10.2721,7682.21,5547.37,2136.37
-Tanh6,9.63435,54.9648,40.9982,13.9666,11410.6,8511.23,2899.37,6.81383,38.9614,29.0708,9.8929,8087.16,6034.3,2053.33
diff --git a/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_layers.txt b/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_layers.txt
deleted file mode 100644
index 98dfa6fa380a34ee7ff5ce0615656deab585ac5b..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_layers.txt
+++ /dev/null
@@ -1,7 +0,0 @@
-Conv1,2000,3,32,32,32,3,3,3,1,1
-Conv2,2000,32,32,32,32,32,3,3,1,1
-Conv3,2000,32,16,16,64,32,3,3,1,1
-Conv4,2000,64,16,16,64,64,3,3,1,1
-Conv5,2000,64,8,8,128,64,3,3,1,1
-Conv6,2000,128,8,8,128,128,3,3,1,1
-FC1,2000,2048,2048,10
diff --git a/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_ops.txt b/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_ops.txt
deleted file mode 100644
index 7a26ba6faa8bf17a0a2067c8a80f69a514ad07c0..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_ops.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-#Conv1,3
-Conv1
-Add1
-Tanh1
-#Conv2,4
-Conv2
-Add2
-Tanh2
-Pool1
-#Conv3,3
-Conv3
-Add3
-Tanh3
-#Conv4,4
-Conv4
-Add4
-Tanh4
-Pool2
-#Conv5,3
-Conv5
-Add5
-Tanh5
-#Conv6,4
-Conv6
-Add6
-Tanh6
-Pool3
-#FC1,2
-Mul1
-Add7
diff --git a/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_promise_confs1.txt b/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_promise_confs1.txt
deleted file mode 100644
index c9e13831df88fd375fd8439e20106a483a8342bc..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_promise_confs1.txt
+++ /dev/null
@@ -1,23 +0,0 @@
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diff --git a/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_promise_confs2.txt b/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_promise_confs2.txt
deleted file mode 100644
index 9188c561894dd811fa5adc5606c61afaf3972a1f..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_promise_confs2.txt
+++ /dev/null
@@ -1,37 +0,0 @@
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diff --git a/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_promise_results1.csv b/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_promise_results1.csv
deleted file mode 100644
index 038318438fafe7dffdde74d6066e2bcb67cc686f..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_promise_results1.csv
+++ /dev/null
@@ -1,297 +0,0 @@
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diff --git a/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_promise_results2.csv b/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_promise_results2.csv
deleted file mode 100644
index a46a2216abbef609554dea8b8df6f572e60dff2e..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_promise_results2.csv
+++ /dev/null
@@ -1,451 +0,0 @@
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-c23,793.086,25.893498,1026.8995,19.340658,565.8327,39.278371,0.065565,2470.396292,3.47637163445145
-c24,644.833,2917.863,26.185581,32.782291,565.8327,19.420124,0.087285,4207.003981,2.04136144811123
-c25,793.086,52.371161,26.185581,19.340658,565.8327,29.504062,0.087285,1486.407447,5.77769936672691
-c26,793.086,2917.863,1026.8995,32.782291,565.8327,19.420124,0.087285,5355.9709,1.60344705805913
-c27,644.833,52.371161,26.185581,32.782291,565.8327,910.2389,0.087285,2232.330918,3.84710684649905
-c28,793.086,39.338749,11.604395,32.782291,565.8327,910.2389,0.087285,2352.97032,3.64986141347242
-c29,793.086,1882.211,12.946749,21.577915,565.8327,19.420124,0.087285,3295.161773,2.60625009453064
-c30,644.833,52.371161,12.946749,32.782291,565.8327,910.2389,0.087285,2219.092086,3.87005821442697
-c31,644.833,39.338749,1026.8995,1646.3233,565.8327,39.278371,0.043156,3962.548776,2.1672959026487
-c32,793.086,1882.211,11.604395,19.340658,565.8327,910.2389,0.038681,4182.352334,2.0533936530993
-c33,793.086,2917.863,19.669375,32.782291,565.8327,910.2389,0.087285,5239.559551,1.63907208144122
-c34,793.086,52.371161,1026.8995,21.577915,565.8327,910.2389,0.087285,3370.093461,2.54830193511058
-c35,793.086,2917.863,26.185581,32.782291,565.8327,910.2389,0.087285,5246.075757,1.63703617276916
-c36,644.833,2917.863,12.946749,19.340658,565.8327,910.2389,26.09765,5097.152657,1.68486532627572
-c12,1315.72658
-
-Compute Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,FC1,Total,Improvement
-c0,202.0632,433.2493,211.0585,394.5152,190.18827,306.11015,2.463761,1739.648381,0.999999942517123
-c1,202.0632,27.159744,13.608704,345.1436,115.04262,20.759040,4.957979,728.734887,2.38721676883067
-c2,270.6243,27.159744,13.608704,345.1436,115.04262,20.759040,0.054060,792.392068,2.19543863664236
-c3,270.6243,27.159744,13.608704,345.1436,115.04262,20.759040,0.054060,792.392068,2.19543863664236
-c4,270.6243,27.159744,13.608704,22.719616,115.04262,20.759040,0.054060,469.968084,3.70163011077363
-c5,270.6243,27.159744,13.608704,22.719616,115.04262,20.759040,0.054060,469.968084,3.70163011077363
-c6,270.6243,27.159744,13.608704,22.719616,115.04262,20.759040,0.054060,469.968084,3.70163011077363
-c7,270.6243,27.159744,13.608704,22.719616,115.04262,20.759040,0.054060,469.968084,3.70163011077363
-c8,270.6243,27.159744,13.608704,22.719616,115.04262,20.759040,0.054060,469.968084,3.70163011077363
-c9,270.6243,27.159744,228.5053,22.719616,115.04262,20.759040,0.054060,684.86468,2.5401340991721
-c10,202.0632,27.159744,228.5053,22.719616,115.04262,20.759040,0.054060,616.30358,2.82271295378278
-c11,270.6243,27.159744,13.608704,22.719616,115.04262,20.759040,0.054060,469.968084,3.70163011077363
-c12,202.0632,27.159744,13.608704,22.719616,115.04262,20.759040,0.054060,401.406984,4.33387563484056
-c13,270.6243,27.159744,13.608704,22.719616,115.04262,20.759040,0.054060,469.968084,3.70163011077363
-c14,270.6243,27.159744,13.608704,22.719616,115.04262,20.759040,0.054060,469.968084,3.70163011077363
-c15,270.6243,27.159744,13.608704,22.719616,115.04262,180.10874,0.054060,629.317784,2.76433965286771
-c16,270.6243,27.159744,13.608704,22.719616,115.04262,20.759040,0.054060,469.968084,3.70163011077363
-c17,270.6243,433.2493,13.608704,22.719616,115.04262,20.759040,4.957979,880.961559,1.97471520267376
-c18,202.0632,27.159744,228.5053,22.719616,115.04262,20.759040,0.054060,616.30358,2.82271295378278
-c19,270.6243,27.159744,13.608704,22.719616,115.04262,180.10874,4.957979,634.221703,2.74296527298668
-c20,202.0632,433.2493,13.608704,22.719616,115.04262,20.759040,0.054060,807.49654,2.1543722844469
-c21,270.6243,725.4132,228.5053,22.719616,115.04262,20.759040,4.957979,1388.022055,1.25332897225981
-c22,270.6243,725.4132,13.608704,22.719616,115.04262,20.759040,4.957979,1173.125459,1.48291746578509
-c23,270.6243,27.159744,228.5053,22.719616,115.04262,20.759040,0.054060,684.86468,2.5401340991721
-c24,202.0632,725.4132,13.608704,22.719616,115.04262,20.759040,0.054060,1099.66044,1.58198672928648
-c25,270.6243,27.159744,13.608704,22.719616,115.04262,20.759040,0.054060,469.968084,3.70163011077363
-c26,270.6243,725.4132,228.5053,22.719616,115.04262,20.759040,0.054060,1383.118136,1.25777271654742
-c27,202.0632,27.159744,13.608704,22.719616,115.04262,180.10874,0.054060,560.756684,3.10232248746187
-c28,270.6243,27.159744,13.608704,22.719616,115.04262,180.10874,0.054060,629.317784,2.76433965286771
-c29,270.6243,433.2493,13.608704,22.719616,115.04262,20.759040,0.054060,876.05764,1.98576908983191
-c30,202.0632,27.159744,13.608704,22.719616,115.04262,180.10874,0.054060,560.756684,3.10232248746187
-c31,202.0632,27.159744,228.5053,345.1436,115.04262,20.759040,0.054060,938.727564,1.85319816142118
-c32,270.6243,433.2493,13.608704,22.719616,115.04262,180.10874,0.054060,1035.40734,1.68015827759553
-c33,270.6243,725.4132,13.608704,22.719616,115.04262,180.10874,0.054060,1327.57124,1.31039916920774
-c34,270.6243,27.159744,228.5053,22.719616,115.04262,180.10874,0.054060,844.21438,2.06067109983709
-c35,270.6243,725.4132,13.608704,22.719616,115.04262,180.10874,0.054060,1327.57124,1.31039916920774
-c36,202.0632,725.4132,13.608704,22.719616,115.04262,180.10874,4.957979,1263.914059,1.37639757305702
-c12,401.406984
-
-Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,FC1,Total,Improvement
-c0,644.833,1882.211,1052.832,2143.065,1071.7044,1784.0718,9.298743,8588.015943,0.999999988355867
-c1,644.833,168.647541,75.648404,1646.3233,565.8327,74.049313,26.09765,3201.431908,2.6825545323279
-c2,809.3061,168.647541,75.648404,1646.3233,565.8327,74.049313,2.255934,3342.063292,2.56967475947865
-c3,809.3061,155.615129,75.648404,1646.3233,565.8327,93.90756,2.304538,3348.937731,2.56439993107773
-c4,809.3061,155.615129,62.409572,107.363804,565.8327,74.049313,2.282818,1776.859436,4.83325539751613
-c5,809.3061,168.647541,75.648404,107.363804,565.8327,72.035782,2.282818,1801.117149,4.76816040031162
-c6,809.3061,168.647541,75.648404,118.224147,565.8327,74.049313,2.304538,1814.012743,4.73426413497559
-c7,809.3061,168.647541,69.132198,107.363804,565.8327,74.049313,2.255934,1796.58759,4.78018189192869
-c8,809.3061,168.647541,62.409572,118.224147,565.8327,74.049313,2.304538,1800.773911,4.76906923941607
-c9,809.3061,168.647541,1026.8995,107.363804,565.8327,72.035782,2.304538,2752.389965,3.12020307448683
-c10,644.833,168.647541,1026.8995,107.363804,565.8327,74.049313,2.304538,2589.930396,3.31592525601119
-c11,809.3061,168.647541,75.648404,96.159428,565.8327,74.049313,2.304538,1791.948024,4.79255834919471
-c12,644.833,168.647541,61.067218,96.159428,565.8327,74.049313,2.304538,1612.893738,5.32460087617992
-c13,809.3061,168.647541,61.067218,107.363804,565.8327,84.133251,2.304538,1798.655152,4.77468705214667
-c14,809.3061,168.647541,75.648404,107.363804,565.8327,74.049313,2.304538,1803.1524,4.76277849100395
-c15,809.3061,142.169878,75.648404,107.363804,565.8327,910.2389,2.304538,2612.864324,3.28682034326631
-c16,809.3061,168.647541,75.648404,107.363804,565.8327,84.133251,2.304538,1813.236338,4.73629128723697
-c17,809.3061,2074.787,75.648404,107.363804,565.8327,72.035782,26.09765,3731.07144,2.30175590334566
-c18,644.833,155.615129,1026.8995,118.224147,565.8327,93.90756,2.260409,2607.572445,3.29349070631513
-c19,809.3061,168.647541,75.648404,107.363804,565.8327,910.2389,26.09765,2663.135099,3.22477655142134
-c20,644.833,1882.211,75.648404,107.363804,565.8327,74.049313,2.282818,3352.221039,2.56188824868573
-c21,809.3061,2917.863,1026.8995,107.363804,565.8327,74.049313,26.09765,5527.412067,1.55371368798451
-c22,809.3061,2917.863,75.648404,107.363804,565.8327,74.049313,26.09765,4576.160971,1.87668567818206
-c23,809.3061,142.169878,1026.8995,93.922171,565.8327,93.90756,2.282818,2734.320727,3.14082234176685
-c24,644.833,3118.92,75.648404,107.363804,565.8327,74.049313,2.304538,4588.951759,1.87145479117566
-c25,809.3061,168.647541,75.648404,93.922171,565.8327,84.133251,2.304538,1799.794705,4.77166392476613
-c26,809.3061,2917.863,1026.8995,107.363804,565.8327,74.049313,2.304538,5503.618955,1.56043066519981
-c27,644.833,168.647541,75.648404,107.363804,565.8327,910.2389,2.304538,2474.868887,3.47008911910536
-c28,809.3061,155.615129,61.067218,107.363804,565.8327,910.2389,2.304538,2611.728389,3.2882499000837
-c29,809.3061,2074.787,62.409572,96.159428,565.8327,74.049313,2.304538,3684.848651,2.33062915829839
-c30,644.833,168.647541,62.409572,107.363804,565.8327,910.2389,2.304538,2461.630055,3.48875151921431
-c31,644.833,155.615129,1026.8995,1646.3233,565.8327,93.90756,2.260409,4135.671598,2.07657100711189
-c32,809.3061,2074.787,61.067218,93.922171,565.8327,910.2389,2.255934,4517.410023,1.90109281848793
-c33,809.3061,2917.863,69.132198,107.363804,565.8327,910.2389,2.304538,5382.04124,1.59568004042867
-c34,809.3061,168.647541,1026.8995,96.159428,565.8327,910.2389,2.304538,3579.388707,2.3992967531789
-c35,809.3061,2917.863,75.648404,107.363804,565.8327,910.2389,2.304538,5388.557446,1.5937504368632
-c36,644.833,3118.92,62.409572,93.922171,565.8327,910.2389,26.09765,5422.253993,1.58384608978154
-c12,1612.893738
-
-Leakage Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0
-c1,0,63.122342,29.446347,0,0,39.390943,0,131.959632,0
-c2,0,63.122342,29.446347,0,0,39.390943,0.559103,132.518735,0
-c3,0,63.122342,29.446347,0,0,39.390943,0.559103,132.518735,0
-c4,0,63.122342,29.446347,47.189800,0,39.390943,0.559103,179.708535,0
-c5,0,63.122342,29.446347,47.189800,0,39.390943,0.559103,179.708535,0
-c6,0,63.122342,29.446347,47.189800,0,39.390943,0.559103,179.708535,0
-c7,0,63.122342,29.446347,47.189800,0,39.390943,0.559103,179.708535,0
-c8,0,63.122342,29.446347,47.189800,0,39.390943,0.559103,179.708535,0
-c9,0,63.122342,0,47.189800,0,39.390943,0.559103,150.262188,0
-c10,0,63.122342,0,47.189800,0,39.390943,0.559103,150.262188,0
-c11,0,63.122342,29.446347,47.189800,0,39.390943,0.559103,179.708535,0
-c12,0,63.122342,29.446347,47.189800,0,39.390943,0.559103,179.708535,0
-c13,0,63.122342,29.446347,47.189800,0,39.390943,0.559103,179.708535,0
-c14,0,63.122342,29.446347,47.189800,0,39.390943,0.559103,179.708535,0
-c15,0,63.122342,29.446347,47.189800,0,0,0.559103,140.317592,0
-c16,0,63.122342,29.446347,47.189800,0,39.390943,0.559103,179.708535,0
-c17,0,0,29.446347,47.189800,0,39.390943,0,116.02709,0
-c18,0,63.122342,0,47.189800,0,39.390943,0.559103,150.262188,0
-c19,0,63.122342,29.446347,47.189800,0,0,0,139.758489,0
-c20,0,0,29.446347,47.189800,0,39.390943,0.559103,116.586193,0
-c21,0,0,0,47.189800,0,39.390943,0,86.580743,0
-c22,0,0,29.446347,47.189800,0,39.390943,0,116.02709,0
-c23,0,63.122342,0,47.189800,0,39.390943,0.559103,150.262188,0
-c24,0,0,29.446347,47.189800,0,39.390943,0.559103,116.586193,0
-c25,0,63.122342,29.446347,47.189800,0,39.390943,0.559103,179.708535,0
-c26,0,0,0,47.189800,0,39.390943,0.559103,87.139846,0
-c27,0,63.122342,29.446347,47.189800,0,0,0.559103,140.317592,0
-c28,0,63.122342,29.446347,47.189800,0,0,0.559103,140.317592,0
-c29,0,0,29.446347,47.189800,0,39.390943,0.559103,116.586193,0
-c30,0,63.122342,29.446347,47.189800,0,0,0.559103,140.317592,0
-c31,0,63.122342,0,0,0,39.390943,0.559103,103.072388,0
-c32,0,0,29.446347,47.189800,0,0,0.559103,77.19525,0
-c33,0,0,29.446347,47.189800,0,0,0.559103,77.19525,0
-c34,0,63.122342,0,47.189800,0,0,0.559103,110.871245,0
-c35,0,0,29.446347,47.189800,0,0,0.559103,77.19525,0
-c36,0,0,29.446347,47.189800,0,0,0,76.636147,0
-c0,0
-
-Memory Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0
-c1,0,53.154038,20.016476,0,0,15.238246,0,88.40876,0
-c2,0,53.154038,20.016476,0,0,15.238246,1.658150,90.06691,0
-c3,0,53.154038,20.016476,0,0,15.238246,1.658150,90.06691,0
-c4,0,53.154038,20.016476,27.391713,0,15.238246,1.658150,117.458623,0
-c5,0,53.154038,20.016476,27.391713,0,15.238246,1.658150,117.458623,0
-c6,0,53.154038,20.016476,27.391713,0,15.238246,1.658150,117.458623,0
-c7,0,53.154038,20.016476,27.391713,0,15.238246,1.658150,117.458623,0
-c8,0,53.154038,20.016476,27.391713,0,15.238246,1.658150,117.458623,0
-c9,0,53.154038,0,27.391713,0,15.238246,1.658150,97.442147,0
-c10,0,53.154038,0,27.391713,0,15.238246,1.658150,97.442147,0
-c11,0,53.154038,20.016476,27.391713,0,15.238246,1.658150,117.458623,0
-c12,0,53.154038,20.016476,27.391713,0,15.238246,1.658150,117.458623,0
-c13,0,53.154038,20.016476,27.391713,0,15.238246,1.658150,117.458623,0
-c14,0,53.154038,20.016476,27.391713,0,15.238246,1.658150,117.458623,0
-c15,0,53.154038,20.016476,27.391713,0,0,1.658150,102.220377,0
-c16,0,53.154038,20.016476,27.391713,0,15.238246,1.658150,117.458623,0
-c17,0,0,20.016476,27.391713,0,15.238246,0,62.646435,0
-c18,0,53.154038,0,27.391713,0,15.238246,1.658150,97.442147,0
-c19,0,53.154038,20.016476,27.391713,0,0,0,100.562227,0
-c20,0,0,20.016476,27.391713,0,15.238246,1.658150,64.304585,0
-c21,0,0,0,27.391713,0,15.238246,0,42.629959,0
-c22,0,0,20.016476,27.391713,0,15.238246,0,62.646435,0
-c23,0,53.154038,0,27.391713,0,15.238246,1.658150,97.442147,0
-c24,0,0,20.016476,27.391713,0,15.238246,1.658150,64.304585,0
-c25,0,53.154038,20.016476,27.391713,0,15.238246,1.658150,117.458623,0
-c26,0,0,0,27.391713,0,15.238246,1.658150,44.288109,0
-c27,0,53.154038,20.016476,27.391713,0,0,1.658150,102.220377,0
-c28,0,53.154038,20.016476,27.391713,0,0,1.658150,102.220377,0
-c29,0,0,20.016476,27.391713,0,15.238246,1.658150,64.304585,0
-c30,0,53.154038,20.016476,27.391713,0,0,1.658150,102.220377,0
-c31,0,53.154038,0,0,0,15.238246,1.658150,70.050434,0
-c32,0,0,20.016476,27.391713,0,0,1.658150,49.066339,0
-c33,0,0,20.016476,27.391713,0,0,1.658150,49.066339,0
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diff --git a/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_results1.csv b/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_results1.csv
deleted file mode 100644
index 80534cd08b0ee64c04faf405926188256a6da2a4..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_results1.csv
+++ /dev/null
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diff --git a/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_results2.csv b/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_results2.csv
deleted file mode 100644
index 0fb57641e8484f4b2d7403c55ac35414dbf58bba..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_results2.csv
+++ /dev/null
@@ -1,253 +0,0 @@
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-c5,644.833,39.338749,1026.8995,32.782291,565.8327,29.504062,9.298743,2348.489045,3.65682590497986
-c6,644.833,39.338749,1026.8995,32.782291,16.391145,29.504062,9.298743,1799.04749,4.77364578387835
-c7,644.833,39.338749,1026.8995,32.782291,16.391145,29.504062,9.298743,1799.04749,4.77364578387835
-c8,644.833,39.338749,1026.8995,32.782291,16.391145,29.504062,9.298743,1799.04749,4.77364578387835
-c9,644.833,39.338749,1026.8995,32.782291,16.391145,29.504062,9.298743,1799.04749,4.77364578387835
-c10,644.833,39.338749,1026.8995,32.782291,16.391145,39.278371,9.298743,1808.821799,4.74785049194055
-c11,644.833,39.338749,1026.8995,2143.065,16.391145,29.504062,9.298743,3909.330199,2.19679978056518
-c12,644.833,39.338749,1026.8995,32.782291,565.8327,29.504062,9.298743,2348.489045,3.65682590497986
-c13,644.833,39.338749,1026.8995,32.782291,16.391145,29.504062,9.298743,1799.04749,4.77364578387835
-c14,644.833,39.338749,1026.8995,32.782291,16.391145,39.278371,9.298743,1808.821799,4.74785049194055
-c15,644.833,39.338749,1026.8995,32.782291,16.391145,29.504062,9.298743,1799.04749,4.77364578387835
-c16,644.833,52.371161,26.185581,32.782291,565.8327,29.504062,9.298743,1360.807538,6.31096982643479
-c17,644.833,39.338749,1026.8995,2143.065,16.391145,29.504062,9.298743,3909.330199,2.19679978056518
-c18,644.833,39.338749,1026.8995,32.782291,16.391145,29.504062,9.298743,1799.04749,4.77364578387835
-c16,1360.807538
-
-Compute Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,FC1,Total,Improvement
-c0,202.0632,433.2493,211.0585,394.5152,190.18827,306.11015,2.463761,1739.648381,0.999999942517123
-c1,202.0632,27.159744,228.5053,22.719616,11.532800,20.759040,2.463761,515.203461,3.37662336343984
-c2,202.0632,27.159744,228.5053,22.719616,11.532800,20.759040,2.463761,515.203461,3.37662336343984
-c3,202.0632,27.159744,228.5053,22.719616,11.532800,20.759040,2.463761,515.203461,3.37662336343984
-c4,202.0632,27.159744,228.5053,394.5152,11.532800,20.759040,2.463761,886.999045,1.9612740224231
-c5,202.0632,27.159744,228.5053,22.719616,115.04262,20.759040,2.463761,618.713281,2.81171934278887
-c6,202.0632,27.159744,228.5053,22.719616,11.532800,20.759040,2.463761,515.203461,3.37662336343984
-c7,202.0632,27.159744,228.5053,22.719616,11.532800,20.759040,2.463761,515.203461,3.37662336343984
-c8,202.0632,27.159744,228.5053,22.719616,11.532800,20.759040,2.463761,515.203461,3.37662336343984
-c9,202.0632,27.159744,228.5053,22.719616,11.532800,20.759040,2.463761,515.203461,3.37662336343984
-c10,202.0632,27.159744,228.5053,22.719616,11.532800,20.759040,2.463761,515.203461,3.37662336343984
-c11,202.0632,27.159744,228.5053,394.5152,11.532800,20.759040,2.463761,886.999045,1.9612740224231
-c12,202.0632,27.159744,228.5053,22.719616,115.04262,20.759040,2.463761,618.713281,2.81171934278887
-c13,202.0632,27.159744,228.5053,22.719616,11.532800,20.759040,2.463761,515.203461,3.37662336343984
-c14,202.0632,27.159744,228.5053,22.719616,11.532800,20.759040,2.463761,515.203461,3.37662336343984
-c15,202.0632,27.159744,228.5053,22.719616,11.532800,20.759040,2.463761,515.203461,3.37662336343984
-c16,202.0632,27.159744,13.608704,22.719616,115.04262,20.759040,2.463761,403.816685,4.30801404404228
-c17,202.0632,27.159744,228.5053,394.5152,11.532800,20.759040,2.463761,886.999045,1.9612740224231
-c18,202.0632,27.159744,228.5053,22.719616,11.532800,20.759040,2.463761,515.203461,3.37662336343984
-c16,403.816685
-
-Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,FC1,Total,Improvement
-c0,644.833,1882.211,1052.832,2143.065,1071.7044,1784.0718,9.298743,8588.015943,0.999999988355867
-c1,644.833,155.615129,1026.8995,107.363804,49.35844,84.133251,9.298743,2077.501867,4.13381844128959
-c2,644.833,155.615129,1026.8995,107.363804,49.35844,84.133251,9.298743,2077.501867,4.13381844128959
-c3,644.833,155.615129,1026.8995,107.363804,49.35844,93.90756,9.298743,2087.276176,4.11446057321067
-c4,644.833,155.615129,1026.8995,2245.12,49.35844,84.133251,9.298743,4215.258063,2.03736416867239
-c5,644.833,155.615129,1026.8995,107.363804,565.8327,84.133251,9.298743,2593.976127,3.31075352719491
-c6,644.833,155.615129,1026.8995,107.363804,49.35844,84.133251,9.298743,2077.501867,4.13381844128959
-c7,644.833,155.615129,1026.8995,107.363804,49.35844,84.133251,9.298743,2077.501867,4.13381844128959
-c8,644.833,155.615129,1026.8995,107.363804,49.35844,84.133251,9.298743,2077.501867,4.13381844128959
-c9,644.833,155.615129,1026.8995,107.363804,49.35844,84.133251,9.298743,2077.501867,4.13381844128959
-c10,644.833,155.615129,1026.8995,107.363804,49.35844,93.90756,9.298743,2087.276176,4.11446057321067
-c11,644.833,155.615129,1026.8995,2245.12,49.35844,84.133251,9.298743,4215.258063,2.03736416867239
-c12,644.833,155.615129,1026.8995,107.363804,565.8327,84.133251,9.298743,2593.976127,3.31075352719491
-c13,644.833,155.615129,1026.8995,107.363804,49.35844,84.133251,9.298743,2077.501867,4.13381844128959
-c14,644.833,155.615129,1026.8995,107.363804,49.35844,93.90756,9.298743,2087.276176,4.11446057321067
-c15,644.833,155.615129,1026.8995,107.363804,49.35844,84.133251,9.298743,2077.501867,4.13381844128959
-c16,644.833,168.647541,75.648404,107.363804,565.8327,84.133251,9.298743,1655.757443,5.18675936540788
-c17,644.833,155.615129,1026.8995,2245.12,49.35844,84.133251,9.298743,4215.258063,2.03736416867239
-c18,644.833,155.615129,1026.8995,107.363804,49.35844,84.133251,9.298743,2077.501867,4.13381844128959
-c16,1655.757443
-
-Leakage Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0
-c1,0,63.122342,0,47.189800,22.543231,39.390943,0,172.246316,0
-c2,0,63.122342,0,47.189800,22.543231,39.390943,0,172.246316,0
-c3,0,63.122342,0,47.189800,22.543231,39.390943,0,172.246316,0
-c4,0,63.122342,0,0,22.543231,39.390943,0,125.056516,0
-c5,0,63.122342,0,47.189800,0,39.390943,0,149.703085,0
-c6,0,63.122342,0,47.189800,22.543231,39.390943,0,172.246316,0
-c7,0,63.122342,0,47.189800,22.543231,39.390943,0,172.246316,0
-c8,0,63.122342,0,47.189800,22.543231,39.390943,0,172.246316,0
-c9,0,63.122342,0,47.189800,22.543231,39.390943,0,172.246316,0
-c10,0,63.122342,0,47.189800,22.543231,39.390943,0,172.246316,0
-c11,0,63.122342,0,0,22.543231,39.390943,0,125.056516,0
-c12,0,63.122342,0,47.189800,0,39.390943,0,149.703085,0
-c13,0,63.122342,0,47.189800,22.543231,39.390943,0,172.246316,0
-c14,0,63.122342,0,47.189800,22.543231,39.390943,0,172.246316,0
-c15,0,63.122342,0,47.189800,22.543231,39.390943,0,172.246316,0
-c16,0,63.122342,29.446347,47.189800,0,39.390943,0,179.149432,0
-c17,0,63.122342,0,0,22.543231,39.390943,0,125.056516,0
-c18,0,63.122342,0,47.189800,22.543231,39.390943,0,172.246316,0
-c0,0
-
-Memory Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0
-c1,0,53.154038,0,27.391713,10.424064,15.238246,0,106.208061,0
-c2,0,53.154038,0,27.391713,10.424064,15.238246,0,106.208061,0
-c3,0,53.154038,0,27.391713,10.424064,15.238246,0,106.208061,0
-c4,0,53.154038,0,0,10.424064,15.238246,0,78.816348,0
-c5,0,53.154038,0,27.391713,0,15.238246,0,95.783997,0
-c6,0,53.154038,0,27.391713,10.424064,15.238246,0,106.208061,0
-c7,0,53.154038,0,27.391713,10.424064,15.238246,0,106.208061,0
-c8,0,53.154038,0,27.391713,10.424064,15.238246,0,106.208061,0
-c9,0,53.154038,0,27.391713,10.424064,15.238246,0,106.208061,0
-c10,0,53.154038,0,27.391713,10.424064,15.238246,0,106.208061,0
-c11,0,53.154038,0,0,10.424064,15.238246,0,78.816348,0
-c12,0,53.154038,0,27.391713,0,15.238246,0,95.783997,0
-c13,0,53.154038,0,27.391713,10.424064,15.238246,0,106.208061,0
-c14,0,53.154038,0,27.391713,10.424064,15.238246,0,106.208061,0
-c15,0,53.154038,0,27.391713,10.424064,15.238246,0,106.208061,0
-c16,0,53.154038,20.016476,27.391713,0,15.238246,0,115.800473,0
-c17,0,53.154038,0,0,10.424064,15.238246,0,78.816348,0
-c18,0,53.154038,0,27.391713,10.424064,15.238246,0,106.208061,0
-c0,0
-
-Memory Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0
-c1,0,14.128858,0,8.244707,3.455880,5.486035,0,31.31548,0
-c2,0,14.128858,0,8.244707,3.455880,5.486035,0,31.31548,0
-c3,0,14.128858,0,8.244707,3.455880,5.486035,0,31.31548,0
-c4,0,14.128858,0,0,3.455880,5.486035,0,23.070773,0
-c5,0,14.128858,0,8.244707,0,5.486035,0,27.8596,0
-c6,0,14.128858,0,8.244707,3.455880,5.486035,0,31.31548,0
-c7,0,14.128858,0,8.244707,3.455880,5.486035,0,31.31548,0
-c8,0,14.128858,0,8.244707,3.455880,5.486035,0,31.31548,0
-c9,0,14.128858,0,8.244707,3.455880,5.486035,0,31.31548,0
-c10,0,14.128858,0,8.244707,3.455880,5.486035,0,31.31548,0
-c11,0,14.128858,0,0,3.455880,5.486035,0,23.070773,0
-c12,0,14.128858,0,8.244707,0,5.486035,0,27.8596,0
-c13,0,14.128858,0,8.244707,3.455880,5.486035,0,31.31548,0
-c14,0,14.128858,0,8.244707,3.455880,5.486035,0,31.31548,0
-c15,0,14.128858,0,8.244707,3.455880,5.486035,0,31.31548,0
-c16,0,14.128858,5.690699,8.244707,0,5.486035,0,33.550299,0
-c17,0,14.128858,0,0,3.455880,5.486035,0,23.070773,0
-c18,0,14.128858,0,8.244707,3.455880,5.486035,0,31.31548,0
-c0,0
-
-Patch Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,0,0,0
-c2,0,0,0,0,0,0,0,0,0
-c3,0,0,0,0,0,0,0,0,0
-c4,0,0,0,0,0,0,0,0,0
-c5,0,0,0,0,0,0,0,0,0
-c6,0,0,0,0,0,0,0,0,0
-c7,0,0,0,0,0,0,0,0,0
-c8,0,0,0,0,0,0,0,0,0
-c9,0,0,0,0,0,0,0,0,0
-c10,0,0,0,0,0,0,0,0,0
-c11,0,0,0,0,0,0,0,0,0
-c12,0,0,0,0,0,0,0,0,0
-c13,0,0,0,0,0,0,0,0,0
-c14,0,0,0,0,0,0,0,0,0
-c15,0,0,0,0,0,0,0,0,0
-c16,0,0,0,0,0,0,0,0,0
-c17,0,0,0,0,0,0,0,0,0
-c18,0,0,0,0,0,0,0,0,0
-c0,0
-
-Quantization Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,0,0,0
-c2,0,0,0,0,0,0,0,0,0
-c3,0,0,0,0,0,0,0,0,0
-c4,0,0,0,102.055,0,0,0,102.055,0
-c5,0,0,0,0,0,0,0,0,0
-c6,0,0,0,0,0,0,0,0,0
-c7,0,0,0,0,0,0,0,0,0
-c8,0,0,0,0,0,0,0,0,0
-c9,0,0,0,0,0,0,0,0,0
-c10,0,0,0,0,0,0,0,0,0
-c11,0,0,0,102.055,0,0,0,102.055,0
-c12,0,0,0,0,0,0,0,0,0
-c13,0,0,0,0,0,0,0,0,0
-c14,0,0,0,0,0,0,0,0,0
-c15,0,0,0,0,0,0,0,0,0
-c16,0,0,0,0,0,0,0,0,0
-c17,0,0,0,102.055,0,0,0,102.055,0
-c18,0,0,0,0,0,0,0,0,0
-c0,0
-
-Quantization Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,0,0,0
-c2,0,0,0,0,0,0,0,0,0
-c3,0,0,0,0,0,0,0,0,0
-c4,0,0,0,20.9833,0,0,0,20.9833,0
-c5,0,0,0,0,0,0,0,0,0
-c6,0,0,0,0,0,0,0,0,0
-c7,0,0,0,0,0,0,0,0,0
-c8,0,0,0,0,0,0,0,0,0
-c9,0,0,0,0,0,0,0,0,0
-c10,0,0,0,0,0,0,0,0,0
-c11,0,0,0,20.9833,0,0,0,20.9833,0
-c12,0,0,0,0,0,0,0,0,0
-c13,0,0,0,0,0,0,0,0,0
-c14,0,0,0,0,0,0,0,0,0
-c15,0,0,0,0,0,0,0,0,0
-c16,0,0,0,0,0,0,0,0,0
-c17,0,0,0,20.9833,0,0,0,20.9833,0
-c18,0,0,0,0,0,0,0,0,0
-c0,0
-
-Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,FC1,Total,Improvement
-c0,202.0632,433.2493,211.0585,394.5152,190.18827,306.11015,2.463761,1739.648381,0.999999942517123
-c1,202.0632,41.288602,228.5053,30.964323,14.98868,26.245075,2.463761,546.518941,3.18314322190286
-c2,202.0632,41.288602,228.5053,30.964323,14.98868,26.245075,2.463761,546.518941,3.18314322190286
-c3,202.0632,41.288602,228.5053,30.964323,14.98868,26.245075,2.463761,546.518941,3.18314322190286
-c4,202.0632,41.288602,228.5053,415.4985,14.98868,26.245075,2.463761,931.053118,1.86847362467308
-c5,202.0632,41.288602,228.5053,30.964323,115.04262,26.245075,2.463761,646.572881,2.69056770406557
-c6,202.0632,41.288602,228.5053,30.964323,14.98868,26.245075,2.463761,546.518941,3.18314322190286
-c7,202.0632,41.288602,228.5053,30.964323,14.98868,26.245075,2.463761,546.518941,3.18314322190286
-c8,202.0632,41.288602,228.5053,30.964323,14.98868,26.245075,2.463761,546.518941,3.18314322190286
-c9,202.0632,41.288602,228.5053,30.964323,14.98868,26.245075,2.463761,546.518941,3.18314322190286
-c10,202.0632,41.288602,228.5053,30.964323,14.98868,26.245075,2.463761,546.518941,3.18314322190286
-c11,202.0632,41.288602,228.5053,415.4985,14.98868,26.245075,2.463761,931.053118,1.86847362467308
-c12,202.0632,41.288602,228.5053,30.964323,115.04262,26.245075,2.463761,646.572881,2.69056770406557
-c13,202.0632,41.288602,228.5053,30.964323,14.98868,26.245075,2.463761,546.518941,3.18314322190286
-c14,202.0632,41.288602,228.5053,30.964323,14.98868,26.245075,2.463761,546.518941,3.18314322190286
-c15,202.0632,41.288602,228.5053,30.964323,14.98868,26.245075,2.463761,546.518941,3.18314322190286
-c16,202.0632,41.288602,19.299403,30.964323,115.04262,26.245075,2.463761,437.366984,3.97754756734277
-c17,202.0632,41.288602,228.5053,415.4985,14.98868,26.245075,2.463761,931.053118,1.86847362467308
-c18,202.0632,41.288602,228.5053,30.964323,14.98868,26.245075,2.463761,546.518941,3.18314322190286
-c16,437.366984
-
-Unpatch Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,0,0,0
-c2,0,0,0,0,0,0,0,0,0
-c3,0,0,0,0,0,0,0,0,0
-c4,0,0,0,0,0,0,0,0,0
-c5,0,0,0,0,0,0,0,0,0
-c6,0,0,0,0,0,0,0,0,0
-c7,0,0,0,0,0,0,0,0,0
-c8,0,0,0,0,0,0,0,0,0
-c9,0,0,0,0,0,0,0,0,0
-c10,0,0,0,0,0,0,0,0,0
-c11,0,0,0,0,0,0,0,0,0
-c12,0,0,0,0,0,0,0,0,0
-c13,0,0,0,0,0,0,0,0,0
-c14,0,0,0,0,0,0,0,0,0
-c15,0,0,0,0,0,0,0,0,0
-c16,0,0,0,0,0,0,0,0,0
-c17,0,0,0,0,0,0,0,0,0
-c18,0,0,0,0,0,0,0,0,0
-c0,0
-
diff --git a/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_tensors.txt b/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_tensors.txt
deleted file mode 100644
index 55ad19b1c8cd2123e86ce7cf7dc43dad7516e413..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/alexnet2_cifar10/alexnet2_tensors.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-#Conv1,3
-Conv1,115.33,355.301,200.956,558.231,6.64024,16.2201,41.8978,123.674
-Add1,47.2501,154.498,36.2217,116.852,56.9247,172.83,41.6054,134.411
-Tanh1,39.4831,135.034,33.4466,118.003,57.0977,185.926,41.7089,145.509
-#Conv2,4
-Conv2,310.308,1282.26,610.501,2404.06,56.8745,201.057,41.8404,192.576
-Add2,45.3358,217.323,35.0236,153.259,158.537,686.903,41.5412,177.63
-Tanh2,38.504,188.321,36.2146,162.298,56.9829,242.874,41.625,182.762
-Pool1,39.1015,194.307,43.674,198.246,54.8347,240.102,10.6202,44.9693
-#Conv3,3
-Conv3,165.302,812.529,188.912,837.371,15.6031,66.3758,21.0237,93.63
-Add3,26.3653,138.399,21.2537,100.994,28.3975,126.566,20.9649,93.9519
-Tanh3,19.3912,101.904,18.3396,88.5345,28.9295,129.858,20.8836,94.2318
-#Conv4,4
-Conv4,303.007,1619.75,284.927,1346.18,28.3107,127.724,20.9833,102.055
-Add4,26.3854,150.498,19.4384,96.5969,76.34,366.744,20.8326,97.3319
-Tanh4,19.2511,109.512,18.4717,92.4694,28.0864,130.933,20.8569,97.8308
-Pool2,45.8717,263.305,22.3065,111.077,27.6028,129.232,5.39931,22.7498
-#Conv5,3
-Conv5,156.337,882.718,86.4203,417.756,8.38767,36.7727,10.6053,48.7992
-Add5,24.2343,136.978,19.2262,98.1635,14.7236,68.2983,10.5498,48.5475
-Tanh5,9.61697,52.0084,9.39612,49.9132,14.9164,69.1465,10.5006,48.3962
-#Conv6,4
-Conv6,248.321,1443.4,139.892,696.675,14.7838,68.8585,10.568,51.057
-Add6,24.3243,144.761,18.7741,98.9177,39.6841,197.748,10.548,49.6626
-Tanh6,9.63435,54.9648,9.37294,50.5591,14.3859,68.827,10.5241,49.2841
-Pool3,23.8305,140.946,12.0697,64.0871,14.3906,68.8152,2.78859,10.4233
-#FC1,2
-Mul1,2.20702,9.19011,4.29982,22.6027,5.01057,21.4017,0.219266,0.10134
-Add7,0.256741,0.108633,0.658159,3.49495,0.887661,1.49455,0.140755,0.0381309
diff --git a/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_confs1.txt b/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_confs1.txt
deleted file mode 100644
index ff963b918fa017a3635a326bbbd7111246cf9384..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_confs1.txt
+++ /dev/null
@@ -1,31 +0,0 @@
-9 9 9 9,9 9 9 9,9 9 9,9 9 9,9 9 9 9,9 9
-8 8 8 8,6,6,8 8 8,7,7
-8 8 8 8,6,6,8 8 8,7,7
-8 8 8 8,6,8 8 8,8 8 8,7,7
-8 8 8 8,6,7,8 8 8,7,7
-8 8 8 8,6,6,8 8 8,7,7
-8 8 8 8,6,6,8 8 8,7,7
-8 8 8 8,6,6,8 8 8,7,7
-8 8 8 8,6,8 8 8,8 8 8,7,7
-8 8 8 8,6,8 8 8,8 8 8,7,7
-8 8 8 8,6,8 8 8,8 8 8,7,7
-8 8 8 8,6,8 8 8,8 8 8,7,7
-8 8 8 8,6,6,8 8 8,7,7
-8 8 8 8,6,6,8 8 8,7,7
-8 8 8 8,6,6,6,7,7
-8 8 8 8,6,6,8 8 8,7,7
-8 8 8 8,6,6,8 8 8,7,7
-8 8 8 8,6,6,8 8 8,7,7
-8 8 8 8,6,8 8 8,8 8 8,7,7
-8 8 8 8,6,7,8 8 8,7,7
-8 8 8 8,6,8 8 8,8 8 8,7,7
-8 8 8 8,6,6,8 8 8,7,7
-8 8 8 8,6,6,8 8 8,7,7
-8 8 8 8,6,8 8 8,8 8 8,7,7
-8 8 8 8,6,6,8 8 8,7,7
-8 8 8 8,6,7,8 8 8,7,7
-8 8 8 8,6,8 8 8,8 8 8,7,7
-8 8 8 8,6,8 8 8,8 8 8,7,7
-8 8 8 8,6,8 8 8,8 8 8,7,7
-8 8 8 8,6,8 8 8,8 8 8,7,7
-8 8 8 8,7,7,8 8 8,8 8 8 8,7
diff --git a/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_confs2.txt b/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_confs2.txt
deleted file mode 100644
index 68b20e726f79648fa9c91169eb1f0a1111b6a889..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_confs2.txt
+++ /dev/null
@@ -1,31 +0,0 @@
-9 9 9 9,9 9 9 9,9 9 9,9 9 9,9 9 9 9,9 9
-8 8 8 8,8 8 8 8,8 8 8,8 8 8,8 8 8 8,7
-8 8 8 8,7,4,6,8 8 8 8,7
-8 8 8 8,8 8 8 8,7,4,6,7
-8 8 8 8,4,4,6,4,7
-8 8 8 8,4,4,7,7,7
-8 8 8 8,4,4,8 8 8,5,7
-8 8 8 8,7,7,7,8 8 8 8,7
-8 8 8 8,7,5,7,4,7
-8 8 8 8,8 8 8 8,8 8 8,6,4,7
-8 8 8 8,8 8 8 8,4,6,5,7
-8 8 8 8,7,4,6,8 8 8 8,7
-8 8 8 8,8 8 8 8,7,4,6,7
-8 8 8 8,4,4,6,4,7
-8 8 8 8,4,4,7,7,7
-8 8 8 8,4,4,8 8 8,5,7
-8 8 8 8,7,7,7,8 8 8 8,7
-8 8 8 8,7,5,7,4,7
-8 8 8 8,8 8 8 8,8 8 8,6,4,7
-8 8 8 8,4,8 8 8,8 8 8,7,7
-8 8 8 8,8 8 8 8,4,6,5,7
-8 8 8 8,8 8 8 8,8 8 8,8 8 8,8 8 8 8,7
-8 8 8 8,7,4,6,8 8 8 8,7
-8 8 8 8,8 8 8 8,4,6,5,7
-8 8 8 8,4,4,6,4,7
-8 8 8 8,7,5,7,4,7
-8 8 8 8,7,7,7,8 8 8 8,7
-8 8 8 8,8 8 8 8,8 8 8,6,4,7
-8 8 8 8,8 8 8 8,7,4,6,7
-8 8 8 8,4,4,8 8 8,5,7
-8 8 8 8,4,4,7,7,7
diff --git a/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_fp16.csv b/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_fp16.csv
deleted file mode 100644
index d6a6ef63a3128bc63e9fb6b5d07ce78c7d520338..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_fp16.csv
+++ /dev/null
@@ -1,61 +0,0 @@
-Add1,93.2842,353.575,204.306,149.269,3790.29,2190.14,1600.15,0.49058,4.5223,3.4086,1.24796,43.6026,34.3362,10.1933
-Add1_f2h,309.757,1205.25,778.891,426.362,3892.05,2515.4,1376.65,9.65112,25.7956,14.7813,11.0587,35.4623,28.6884,7.22661
-Add1_h2f,83.2903,330.731,185.213,145.518,3970.82,2223.7,1747.13,0.806036,4.16027,2.76063,1.51937,31.9222,24.6197,8.42906
-Add2,57.2394,332.553,242.25,90.3031,5809.85,4232.21,1577.64,0.457316,4.377,3.61364,0.896967,59.0466,51.9109,9.25098
-Add2_f2h,183.024,1140.1,895.094,245.002,6230.37,4891.61,1338.76,5.77653,29.1735,22.2262,6.9702,39.1547,34.6242,5.22016
-Add2_h2f,62.1204,356.499,249.999,106.501,5738.83,4024.41,1714.41,0.394536,3.84656,3.14568,0.877756,48.4454,42.9786,7.80049
-Add3,64.5391,421.019,313.098,107.922,6523.48,4851.29,1672.19,0.585465,4.31465,3.23825,1.10633,31.0225,23.7417,8.2678
-Add3_f2h,39.2865,257.541,197.461,60.0801,6555.52,5026.24,1529.28,0.47706,3.33185,2.49827,0.847902,40.88,31.2198,10.5659
-Add3_h2f,31.1203,195.786,142.213,53.5726,6291.23,4569.77,1721.46,0.306809,2.38301,1.71741,0.675567,39.8861,28.601,11.885
-Add4,40.9697,274.189,212.979,61.2102,6692.3,5198.28,1494.02,0.384841,4.60445,3.90429,0.821323,78.8032,70.489,12.2778
-Add4_f2h,75.4038,524.503,420.111,104.392,6958.45,5574.07,1384.38,5.55358,35.9191,28.1478,7.80022,43.8327,40.6864,11.0572
-Add4_h2f,20.652,132.57,101.351,31.2198,6419.34,4907.63,1511.71,0.183388,1.80855,1.4875,0.410811,74.4576,63.8749,15.3763
-Add5,41.049,260.675,199.276,61.3997,6350.43,4854.66,1495.77,0.362686,4.17524,3.61668,0.698418,90.2431,81.3189,11.135
-Add5_f2h,79.1767,523.707,412.572,111.134,6618.91,5215.04,1403.88,7.23508,41.7069,31.8753,9.84169,56.7552,52.1865,6.95965
-Add5_h2f,20.6328,125.982,94.7906,31.1915,6105.9,4594.17,1511.73,0.195554,2.38048,1.96829,0.481221,98.2565,84.4038,17.013
-Add6,0.580578,3.19613,2.21839,0.977745,5485.52,3807.55,1677.98,0.0359955,1.55104,1.07733,0.47379,2596.77,1804.25,792.663
-Add6_f2h,0.460408,1.00469,0.697219,0.307468,1898.57,1317.21,581.362,0.176587,1.16926,0.811923,0.35736,1980.93,1374.61,606.356
-Add6_h2f,0.0886822,0.0103369,0.00716523,0.00317167,111.312,77.1828,34.1295,0.015021,0.0600414,0.0415981,0.0184434,608.231,421.665,186.568
-Conv1,759.668,1563.71,760.258,803.448,2058.68,1000.97,1057.71,11.5002,10.4346,3.29189,8.66694,18.8258,13.6161,6.05864
-Conv1_f2h,5.44249,6.60174,1.40281,5.19893,1213.19,257.967,955.226,0.17219,0.353329,0.126049,0.277371,56.2627,24.0056,40.2598
-Conv1_h2f,83.2352,403.353,303.997,99.3552,4845.94,3652.27,1193.67,0.413148,2.25226,1.68684,0.670959,12.8815,9.56103,5.46339
-Conv2,1196.88,6519.17,4850.19,1668.97,5447.23,4052.73,1394.49,11.586,14.405,8.37537,10.139,44.9168,38.8365,6.77628
-Conv2_f2h,26.722,110.701,57.7904,52.9111,4142.93,2162.81,1980.12,0.279116,1.38408,0.889919,0.604014,52.084,36.0813,18.6573
-Conv2_h2f,62.1589,473.091,401.012,72.0794,7611.02,6451.42,1159.6,0.35738,2.96054,2.47914,0.520919,25.9077,21.4465,5.48728
-Conv3,561.436,3134.15,2164.67,969.482,5582.78,3855.92,1726.86,5.64894,12.6119,7.66204,6.48434,42.9576,35.3499,8.45526
-Conv3_f2h,20.4033,103.834,61.6107,42.2228,5089.07,3019.68,2069.39,0.33686,2.07671,1.24786,0.849022,58.3312,37.7391,22.1356
-Conv3_h2f,31.0982,213.521,168.425,45.0957,6866.05,5415.94,1450.12,0.193664,1.81345,1.41647,0.418016,45.1015,35.0321,10.9083
-Conv4,627.538,4183.57,3200.17,983.396,6666.76,5099.68,1567.08,3.19725,10.3525,6.96967,4.85478,29.6592,25.6687,6.16061
-Conv4_f2h,39.4494,231.112,155.03,76.0814,5858.45,3929.88,1928.58,0.383614,2.64826,1.77466,0.893289,38.1649,27.1767,11.8054
-Conv4_h2f,20.805,157.506,130.042,27.4631,7570.58,6250.58,1320,0.262449,2.5472,2.06942,0.51889,78.0758,64.5926,16.6892
-Conv5,430.284,2806.26,2156.62,649.637,6522.06,5012.26,1509.8,3.00065,16.2034,13.6006,4.30614,43.4971,39.7871,5.8117
-Conv5_f2h,26.6141,161.682,116.58,45.1028,6075.21,4380.5,1694.71,0.247547,2.32135,1.82405,0.588892,78.8117,64.6347,17.3373
-Conv5_h2f,20.7426,148.724,120.885,27.8386,7169.94,5827.84,1342.1,0.210998,2.14481,1.7637,0.390591,69.9498,57.905,12.7277
-Mul1,6.85001,40.5555,28.1774,12.3781,5920.38,4113.44,1806.94,0.171041,1.77782,1.24768,0.543706,208.025,148.206,62.2562
-Mul1_f2h,7.36824,40.3988,28.1257,12.2731,5482.81,3817.12,1665.69,0.13546,1.47559,1.05633,0.430894,175.413,126.752,50.5788
-Mul1_h2f,0.141077,0.0604596,0.0419153,0.0185444,379.141,262.838,116.304,0.0403448,0.169651,0.117675,0.0519786,996.445,691.124,305.345
-Pool1,77.3703,318.571,162.02,156.551,4117.58,2094.15,2023.43,0.455239,2.35316,1.53673,0.961891,33.6923,22.5917,12.0676
-Pool1_f2h,210.001,844.263,423.672,420.591,4020.89,2017.89,2003,4.20962,10.864,4.63699,6.43175,33.3606,22.9331,10.8583
-Pool1_h2f,20.9052,88.6981,46.9757,41.7224,4246.27,2248.89,1997.38,0.667696,1.1714,0.660301,0.539743,117.997,63.6641,55.0082
-Pool2,58.7924,314.375,188.669,125.706,5347.29,3209.14,2138.15,0.411831,2.52633,1.74937,0.927995,36.5478,28.4951,9.66495
-Pool2_f2h,76.8368,405.93,248.377,157.553,5283.1,3232.6,2050.5,0.716538,3.90927,2.59879,1.50885,31.914,26.7871,6.83944
-Pool2_h2f,15.6216,82.0579,49.566,32.4919,5255.37,3174.44,2080.93,0.215716,3.1694,1.92435,1.25917,232.498,141.245,92.0377
-Pool3,20.5304,123.325,86.6382,36.6872,6007.12,4220.09,1787.03,0.282783,2.47786,1.92759,0.626736,98.3816,79.4265,23.2579
-Pool3_f2h,26.4508,154.684,109.843,44.8406,5849.24,4153.88,1695.36,0.618053,2.67039,1.80558,0.988641,86.0654,72.4368,16.4758
-Pool3_h2f,5.2822,29.1224,20.4156,8.70687,5513.14,3864.89,1648.25,0.11154,1.36843,0.975666,0.401594,228.306,164.606,65.5302
-Softmax1,2.04532,9.65196,6.69876,2.9532,4718.43,3274.79,1443.63,0.0592166,1.26487,0.87714,0.388768,599.51,416.222,183.818
-Tanh1,71.349,309.397,166.636,142.762,4336.38,2335.5,2000.89,0.319789,2.76113,1.82636,1.0288,32.4436,22.8151,10.8671
-Tanh1_f2h,100.913,396.573,209.559,187.014,3930.03,2076.77,1853.26,0.899812,3.09604,1.99119,1.45311,33.4653,24.7837,9.33032
-Tanh1_h2f,83.2272,381.858,208.746,173.112,4588.14,2508.14,2080,0.436928,2.54257,1.61456,1.04033,21.0556,14.923,7.84162
-Tanh2,53.7113,299.392,193.858,105.534,5574.12,3609.27,1964.84,0.516207,3.73585,2.74272,1.11904,46.5019,38.4508,10.2748
-Tanh2_f2h,76.8765,416.385,277.089,139.296,5416.46,3604.5,1811.96,0.713004,3.82792,2.92357,1.24867,42.9582,37.8125,7.71353
-Tanh2_h2f,62.0292,344.851,220.072,124.778,5559.5,3547.89,2011.61,0.268756,2.54138,2.0299,0.664609,34.7016,29.7044,7.08025
-Tanh3,27.4497,170.841,118.94,51.9014,6223.81,4333.02,1890.79,0.272378,2.30827,1.59613,0.719755,58.4892,40.4211,18.4657
-Tanh3_f2h,39.0187,237.416,168.18,69.2353,6084.79,4310.35,1774.44,0.483226,2.94737,2.05624,0.902876,39.7976,28.4209,12.0028
-Tanh3_h2f,31.0592,188.341,129.589,58.7521,6063.92,4172.31,1891.61,0.214138,1.88422,1.30556,0.593641,41.1045,29.1294,12.6756
-Tanh4,18.3085,118.735,87.9986,30.7359,6485.13,4806.35,1678.77,0.220835,2.58413,2.07212,0.565112,112.566,92.977,23.0207
-Tanh4_f2h,26.1769,164.262,123.396,40.8663,6275.42,4714.21,1561.21,0.358447,2.34225,1.86472,0.587341,71.3708,61.4761,14.4163
-Tanh4_h2f,20.6587,128.708,94.4883,34.2199,6230.16,4573.71,1656.45,0.207862,2.25217,1.81483,0.480835,85.0819,70.6279,17.1689
-Tanh5,18.3283,114.102,83.1648,30.9372,6224.98,4537.15,1687.83,0.260623,5.957,4.43105,1.5561,299.19,223.089,77.8918
-Tanh5_f2h,26.1523,156.042,115.325,40.7168,5968.06,4410.79,1557.27,0.343513,4.99963,3.81509,1.25126,209.878,159.503,52.6995
-Tanh5_h2f,20.633,123.091,88.9037,34.1876,5965.83,4308.87,1656.96,0.190143,2.18341,1.76558,0.481496,94.4781,78.5292,18.9483
diff --git a/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_fp32.csv b/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_fp32.csv
deleted file mode 100644
index fe62cc77eb9744a531345697df044276e4bb26e2..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_fp32.csv
+++ /dev/null
@@ -1,21 +0,0 @@
-Add1,114.477,689.511,545.497,144.014,6023.13,4765.12,1258.01,0.494926,3.39383,2.63662,0.913302,15.2664,12.3757,5.32532
-Add2,139.245,1083.98,913.705,170.273,7784.72,6561.88,1222.83,0.616984,5.07127,4.2664,0.881209,16.6482,14.6652,3.17889
-Add3,73.7075,582.264,483.313,98.9509,7899.66,6557.19,1342.47,0.766894,6.39355,5.25146,1.16607,26.1761,21.787,5.48411
-Add4,47.9113,399.265,338.936,60.3286,8333.36,7074.23,1259.12,0.344035,4.04787,2.81768,2.21291,52.9096,30.2717,43.7817
-Add5,47.955,388.123,327.404,60.7191,8093.5,6827.34,1266.16,0.385326,4.51233,3.74464,0.829162,71.7827,59.7486,13.7432
-Add6,0.1721,0.083548,0.0671001,0.0164478,452.189,363.168,89.0211,0.0152622,0.264957,0.212801,0.0521557,1369.25,1099.72,269.533
-Conv1,925.494,3271.78,2320.75,951.03,3535.33,2507.72,1027.61,7.38366,11.5946,7.18956,6.71324,22.3312,19.251,4.89111
-Conv2,2080.05,13944.8,11447.4,2497.39,6704.35,5503.69,1200.66,13.4036,25.0061,20.4344,10.1874,42.1223,38.0878,4.46151
-Conv3,1014.71,6863.91,5475.41,1388.5,6764.61,5396.22,1368.39,5.96381,14.6827,14.1842,4.69302,43.9951,39.249,5.4172
-Conv4,1226.86,9535.92,7945,1590.92,7772.68,6475.96,1296.73,4.45174,35.4147,15.5377,26.2279,31.4207,24.4877,19.7888
-Conv5,861.092,6591.9,5495.97,1095.93,7655.42,6382.69,1272.73,4.21251,19.5607,11.6479,15.1544,34.6117,29.1745,17.0262
-Mul1,3.73053,25.3858,20.4052,4.98065,6805.05,5469.93,1335.12,0.0924027,1.617,1.29761,0.32099,403.014,323.605,79.8704
-Pool1,175.352,985.339,672.448,312.891,5619.71,3835.24,1784.47,3.94384,18.2525,12.0852,6.20264,25.3347,19.4031,6.99576
-Pool2,132.287,891.752,674.086,217.667,6741.51,5096,1645.51,3.25049,19.5357,14.6978,4.86596,26.8879,22.2401,5.69913
-Pool3,44.6908,343.93,279.325,64.6046,7695.89,6250.31,1445.57,0.968672,7.36666,5.9023,1.48972,37.1193,30.6839,9.10475
-Softmax1,1.92222,11.9898,9.62903,2.36074,6235.93,5008.1,1227.83,0.0948851,1.8978,1.52456,0.373476,928.239,745.748,182.625
-Tanh1,76.4029,470.583,342.12,128.463,6159.2,4477.81,1681.39,0.423554,3.56257,2.71704,0.923294,25.9953,20.7846,7.04828
-Tanh2,55.9198,411.855,325.555,86.2999,7365.1,5821.83,1543.28,0.307608,2.90099,2.28812,0.637094,29.5989,23.7191,6.64274
-Tanh3,27.9644,214.918,172.203,42.7143,7685.42,6157.97,1527.45,0.27067,2.55707,2.04195,0.526121,57.2266,45.9891,11.875
-Tanh4,18.6218,150.823,125.161,25.6619,8099.35,6721.29,1378.06,0.144119,1.9824,1.59565,0.785064,92.3216,73.7595,41.0994
-Tanh5,18.6201,147.003,121.178,25.8248,7894.73,6507.83,1386.9,0.18229,2.27179,1.84236,0.444801,85.7818,70.1289,16.9109
diff --git a/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_layers.txt b/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_layers.txt
deleted file mode 100644
index bc8c3f5668a2fdb5eb8a568f34b334fe02016954..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_layers.txt
+++ /dev/null
@@ -1,6 +0,0 @@
-Conv1,2000,3,32,32,64,3,11,11,1,1
-Conv2,2000,64,16,16,192,64,5,5,1,1
-Conv3,2000,192,8,8,384,192,3,3,1,1
-Conv4,2000,384,8,8,256,384,3,3,1,1
-Conv5,2000,256,8,8,256,256,3,3,1,1
-FC1,2000,4096,4096,10
diff --git a/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_ops.txt b/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_ops.txt
deleted file mode 100644
index 9d047b9e469f980534fa95b39fd43e2984bf9d43..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_ops.txt
+++ /dev/null
@@ -1,26 +0,0 @@
-#Conv1,4
-Conv1
-Add1
-Tanh1
-Pool1
-#Conv2,4
-Conv2
-Add2
-Tanh2
-Pool2
-#Conv3,3
-Conv3
-Add3
-Tanh3
-#Conv4,3
-Conv4
-Add4
-Tanh4
-#Conv5,4
-Conv5
-Add5
-Tanh5
-Pool3
-#FC1,2
-Mul1
-Add6
diff --git a/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_promise_confs1.txt b/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_promise_confs1.txt
deleted file mode 100644
index f9a86825a6429e3145247f1680c64999ecfb918a..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_promise_confs1.txt
+++ /dev/null
@@ -1,16 +0,0 @@
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diff --git a/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_promise_confs2.txt b/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_promise_confs2.txt
deleted file mode 100644
index c73097f5494c9545b8d6a2bd7f737a7a9ad2dcc8..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_promise_confs2.txt
+++ /dev/null
@@ -1,52 +0,0 @@
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diff --git a/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_promise_results1.csv b/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_promise_results1.csv
deleted file mode 100644
index 4854a2efa2b2e321decb3ef95ab6bda3b1e22f42..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_promise_results1.csv
+++ /dev/null
@@ -1,220 +0,0 @@
-Compute Energy
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diff --git a/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_promise_results2.csv b/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_promise_results2.csv
deleted file mode 100644
index b3853553e5d5a2c768c71ee52ff3748070d0a4b4..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_promise_results2.csv
+++ /dev/null
@@ -1,616 +0,0 @@
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-c35,1291.7259,182.333568,96.183552,128.244736,82.574848,0.090100,1781.152704,3.97790869715859
-c36,1001.6715,182.333568,1116.3819,128.244736,82.574848,0.090100,2511.296652,2.82135642645868
-c37,1001.6715,182.333568,96.183552,128.244736,972.3579,0.090100,2380.881356,2.97589920411392
-c38,1001.6715,182.333568,96.183552,128.244736,82.574848,0.090100,1491.098304,4.7517073393635
-c39,1001.6715,182.333568,96.183552,128.244736,82.574848,0.090100,1491.098304,4.7517073393635
-c40,1001.6715,182.333568,96.183552,128.244736,82.574848,0.090100,1491.098304,4.7517073393635
-c41,1001.6715,182.333568,96.183552,128.244736,82.574848,0.090100,1491.098304,4.7517073393635
-c42,1001.6715,182.333568,96.183552,128.244736,82.574848,0.090100,1491.098304,4.7517073393635
-c43,1001.6715,182.333568,96.183552,128.244736,82.574848,0.090100,1491.098304,4.7517073393635
-c44,1001.6715,182.333568,96.183552,128.244736,82.574848,0.090100,1491.098304,4.7517073393635
-c45,1001.6715,182.333568,96.183552,128.244736,82.574848,0.090100,1491.098304,4.7517073393635
-c46,1291.7259,182.333568,1116.3819,128.244736,82.574848,0.090100,2801.351052,2.52923066247569
-c47,1001.6715,182.333568,96.183552,128.244736,972.3579,0.090100,2380.881356,2.97589920411392
-c48,1001.6715,182.333568,96.183552,128.244736,510.1917,0.090100,1918.715156,3.69271219783328
-c49,1001.6715,182.333568,96.183552,128.244736,82.574848,0.090100,1491.098304,4.7517073393635
-c50,1291.7259,182.333568,96.183552,1293.3931,82.574848,0.090100,2946.301068,2.40479938268144
-c51,1001.6715,182.333568,96.183552,128.244736,82.574848,0.090100,1491.098304,4.7517073393635
-c1,1491.098304
-
-Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,FC1,Total,Improvement
-c0,5417.213,16332.387,7661.092,10086.008,7470.956,25.469348,46993.125348,0.999999997872029
-c1,2551.85474,514.368067,272.195888,406.082535,352.195669,4.594964,4101.291863,11.4581272857311
-c2,2551.85474,514.368067,272.195888,478.667351,352.195669,4.594964,4173.876679,11.2588674357701
-c3,2551.85474,553.269866,272.195888,379.150521,352.195669,4.614914,4113.281598,11.4247281850036
-c4,5417.213,553.269866,272.195888,10086.008,246.75388,4.594964,16580.035598,2.83431991365788
-c5,2551.85474,514.368067,272.195888,537.313205,352.195669,4.614914,4232.542483,11.1028121812047
-c6,5417.213,742.825278,272.195888,537.313205,264.708556,25.469348,7259.725275,6.47312713919292
-c7,2551.85474,514.368067,272.195888,478.667351,272.76268,25.469348,4115.318074,11.4190746282744
-c8,5417.213,499.997242,310.277625,537.313205,241.810152,25.469348,7032.080572,6.68267722455389
-c9,2551.85474,514.368067,274.166342,371.734929,352.195669,4.594964,4068.914711,11.5493018484825
-c10,2551.85474,16805.478,272.195888,537.313205,246.75388,25.469348,20439.065061,2.29918173741469
-c11,2551.85474,553.269866,272.195888,478.667351,352.195669,43.75163,4251.935144,11.0521733402015
-c12,2551.85474,553.269866,272.195888,478.667351,352.195669,4.623863,4212.807377,11.1548238566706
-c13,2551.85474,499.997242,3726.01,478.667351,352.195669,4.594964,7613.319966,6.17248781617163
-c14,2551.85474,570.720469,272.195888,478.667351,352.195669,4.712122,4230.346239,11.10857636283
-c15,5417.213,742.825278,272.195888,478.667351,352.195669,43.75163,7306.848816,6.43138046074799
-c16,2551.85474,514.368067,272.195888,10086.008,352.195669,43.75163,13820.373994,3.40027882229336
-c17,2551.85474,514.368067,402.949446,371.734929,352.195669,4.594964,4197.697815,11.1949755079029
-c18,2551.85474,514.368067,3726.01,371.734929,264.708556,43.75163,7472.427922,6.28886958959589
-c19,5417.213,499.997242,3726.01,10243.514,264.708556,43.75163,20195.194428,2.32694591195175
-c20,2551.85474,570.720469,300.881147,379.150521,241.810152,25.469348,4069.886377,11.5465445077081
-c21,2551.85474,570.720469,272.195888,478.667351,3304.362,4.594964,7182.395412,6.54282060483667
-c22,2551.85474,16805.478,272.195888,4576.494,352.195669,4.594964,24562.813261,1.91318171324031
-c23,5417.213,553.269866,274.166342,406.082535,7470.956,4.589471,14126.277214,3.32664610098139
-c24,5417.213,503.656657,279.934025,4576.494,352.195669,4.589471,11134.082822,4.22065523287469
-c25,5417.213,514.368067,274.166342,478.667351,352.195669,4.594964,7041.205393,6.67401702658985
-c26,2551.85474,658.1146,300.881147,478.667351,241.810152,4.594964,4235.922954,11.093951601322
-c27,2551.85474,658.1146,300.881147,10086.008,241.810152,4.594964,13843.263603,3.39465651714892
-c28,2551.85474,742.825278,300.881147,406.082535,246.75388,4.614914,4253.012494,11.049373663811
-c29,5417.213,553.269866,402.949446,478.667351,241.810152,43.75163,7137.661445,6.58382651681196
-c30,2551.85474,742.825278,279.934025,379.150521,272.76268,4.623863,4231.151107,11.1064632410808
-c31,2551.85474,514.368067,274.166342,478.667351,352.195669,4.712122,4175.964291,11.2532390001407
-c32,5417.213,742.825278,300.881147,478.667351,246.75388,4.614914,7190.95557,6.53503199081743
-c33,5417.213,742.825278,7661.092,379.150521,352.195669,4.594964,14557.071432,3.22819910891402
-c34,2551.85474,514.368067,7661.092,418.163721,313.098433,4.594964,11463.171925,4.09948705694312
-c35,5417.213,658.1146,402.949446,379.150521,264.708556,4.623863,7126.759986,6.59389747668293
-c36,2551.85474,514.368067,7661.092,478.667351,246.75388,4.594964,11457.331002,4.10157696671582
-c37,2551.85474,503.656657,310.277625,537.313205,7470.956,4.594964,11378.653191,4.12993736131933
-c38,2551.85474,514.368067,310.277625,478.667351,352.195669,4.594964,4211.958416,11.1570722193694
-c39,2551.85474,553.269866,402.949446,478.667351,272.76268,4.594964,4264.099047,11.0206455638026
-c40,2551.85474,514.368067,279.934025,478.667351,352.195669,4.614914,4181.634766,11.2379791287114
-c41,2551.85474,514.368067,300.881147,537.313205,272.76268,4.66868,4181.848519,11.2374047052993
-c42,2551.85474,742.825278,402.949446,478.667351,352.195669,4.594964,4533.087448,10.3666926461046
-c43,2551.85474,570.720469,300.881147,537.313205,264.708556,4.712122,4230.190239,11.1089860223899
-c44,2551.85474,742.825278,279.934025,406.082535,352.195669,4.712122,4337.604369,10.8338890011412
-c45,2551.85474,553.269866,279.934025,537.313205,264.708556,4.623863,4191.704255,11.210982781251
-c46,5417.213,514.368067,7661.092,418.163721,352.195669,4.594964,14367.627421,3.27076445149444
-c47,2551.85474,742.825278,274.166342,537.313205,7470.956,4.712122,11581.827687,4.05748783458405
-c48,2551.85474,514.368067,300.881147,406.082535,3304.362,4.594964,7082.143453,6.63543812636976
-c49,2551.85474,514.368067,310.277625,478.667351,352.195669,4.623863,4211.987315,11.1569956692285
-c50,5417.213,514.368067,300.881147,10086.008,352.195669,4.594964,16675.260847,2.8181343306927
-c51,2551.85474,742.825278,300.881147,537.313205,352.195669,4.594964,4489.665003,10.4669556124797
-c9,4068.914711
-
-Leakage Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0
-c1,0,324.065467,175.390266,229.498883,151.959867,1.216143,882.130626,0
-c2,0,324.065467,175.390266,229.498883,151.959867,1.216143,882.130626,0
-c3,0,324.065467,175.390266,229.498883,151.959867,1.216143,882.130626,0
-c4,0,324.065467,175.390266,0,151.959867,1.216143,652.631743,0
-c5,0,324.065467,175.390266,229.498883,151.959867,1.216143,882.130626,0
-c6,0,324.065467,175.390266,229.498883,151.959867,0,880.914483,0
-c7,0,324.065467,175.390266,229.498883,151.959867,0,880.914483,0
-c8,0,324.065467,175.390266,229.498883,151.959867,0,880.914483,0
-c9,0,324.065467,175.390266,229.498883,151.959867,1.216143,882.130626,0
-c10,0,0,175.390266,229.498883,151.959867,0,556.849016,0
-c11,0,324.065467,175.390266,229.498883,151.959867,0,880.914483,0
-c12,0,324.065467,175.390266,229.498883,151.959867,1.216143,882.130626,0
-c13,0,324.065467,0,229.498883,151.959867,1.216143,706.74036,0
-c14,0,324.065467,175.390266,229.498883,151.959867,1.216143,882.130626,0
-c15,0,324.065467,175.390266,229.498883,151.959867,0,880.914483,0
-c16,0,324.065467,175.390266,0,151.959867,0,651.4156,0
-c17,0,324.065467,175.390266,229.498883,151.959867,1.216143,882.130626,0
-c18,0,324.065467,0,229.498883,151.959867,0,705.524217,0
-c19,0,324.065467,0,0,151.959867,0,476.025334,0
-c20,0,324.065467,175.390266,229.498883,151.959867,0,880.914483,0
-c21,0,324.065467,175.390266,229.498883,0,1.216143,730.170759,0
-c22,0,0,175.390266,0,151.959867,1.216143,328.566276,0
-c23,0,324.065467,175.390266,229.498883,0,1.216143,730.170759,0
-c24,0,324.065467,175.390266,0,151.959867,1.216143,652.631743,0
-c25,0,324.065467,175.390266,229.498883,151.959867,1.216143,882.130626,0
-c26,0,324.065467,175.390266,229.498883,151.959867,1.216143,882.130626,0
-c27,0,324.065467,175.390266,0,151.959867,1.216143,652.631743,0
-c28,0,324.065467,175.390266,229.498883,151.959867,1.216143,882.130626,0
-c29,0,324.065467,175.390266,229.498883,151.959867,0,880.914483,0
-c30,0,324.065467,175.390266,229.498883,151.959867,1.216143,882.130626,0
-c31,0,324.065467,175.390266,229.498883,151.959867,1.216143,882.130626,0
-c32,0,324.065467,175.390266,229.498883,151.959867,1.216143,882.130626,0
-c33,0,324.065467,0,229.498883,151.959867,1.216143,706.74036,0
-c34,0,324.065467,0,229.498883,151.959867,1.216143,706.74036,0
-c35,0,324.065467,175.390266,229.498883,151.959867,1.216143,882.130626,0
-c36,0,324.065467,0,229.498883,151.959867,1.216143,706.74036,0
-c37,0,324.065467,175.390266,229.498883,0,1.216143,730.170759,0
-c38,0,324.065467,175.390266,229.498883,151.959867,1.216143,882.130626,0
-c39,0,324.065467,175.390266,229.498883,151.959867,1.216143,882.130626,0
-c40,0,324.065467,175.390266,229.498883,151.959867,1.216143,882.130626,0
-c41,0,324.065467,175.390266,229.498883,151.959867,1.216143,882.130626,0
-c42,0,324.065467,175.390266,229.498883,151.959867,1.216143,882.130626,0
-c43,0,324.065467,175.390266,229.498883,151.959867,1.216143,882.130626,0
-c44,0,324.065467,175.390266,229.498883,151.959867,1.216143,882.130626,0
-c45,0,324.065467,175.390266,229.498883,151.959867,1.216143,882.130626,0
-c46,0,324.065467,0,229.498883,151.959867,1.216143,706.74036,0
-c47,0,324.065467,175.390266,229.498883,0,1.216143,730.170759,0
-c48,0,324.065467,175.390266,229.498883,0,1.216143,730.170759,0
-c49,0,324.065467,175.390266,229.498883,151.959867,1.216143,882.130626,0
-c50,0,324.065467,175.390266,0,151.959867,1.216143,652.631743,0
-c51,0,324.065467,175.390266,229.498883,151.959867,1.216143,882.130626,0
-c0,0
-
-Memory Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0
-c1,0,78.347264,44.260116,72.144097,43.122319,3.321408,241.195204,0
-c2,0,78.347264,44.260116,72.144097,43.122319,3.321408,241.195204,0
-c3,0,78.347264,44.260116,72.144097,43.122319,3.321408,241.195204,0
-c4,0,78.347264,44.260116,0,43.122319,3.321408,169.051107,0
-c5,0,78.347264,44.260116,72.144097,43.122319,3.321408,241.195204,0
-c6,0,78.347264,44.260116,72.144097,43.122319,0,237.873796,0
-c7,0,78.347264,44.260116,72.144097,43.122319,0,237.873796,0
-c8,0,78.347264,44.260116,72.144097,43.122319,0,237.873796,0
-c9,0,78.347264,44.260116,72.144097,43.122319,3.321408,241.195204,0
-c10,0,0,44.260116,72.144097,43.122319,0,159.526532,0
-c11,0,78.347264,44.260116,72.144097,43.122319,0,237.873796,0
-c12,0,78.347264,44.260116,72.144097,43.122319,3.321408,241.195204,0
-c13,0,78.347264,0,72.144097,43.122319,3.321408,196.935088,0
-c14,0,78.347264,44.260116,72.144097,43.122319,3.321408,241.195204,0
-c15,0,78.347264,44.260116,72.144097,43.122319,0,237.873796,0
-c16,0,78.347264,44.260116,0,43.122319,0,165.729699,0
-c17,0,78.347264,44.260116,72.144097,43.122319,3.321408,241.195204,0
-c18,0,78.347264,0,72.144097,43.122319,0,193.61368,0
-c19,0,78.347264,0,0,43.122319,0,121.469583,0
-c20,0,78.347264,44.260116,72.144097,43.122319,0,237.873796,0
-c21,0,78.347264,44.260116,72.144097,0,3.321408,198.072885,0
-c22,0,0,44.260116,0,43.122319,3.321408,90.703843,0
-c23,0,78.347264,44.260116,72.144097,0,3.321408,198.072885,0
-c24,0,78.347264,44.260116,0,43.122319,3.321408,169.051107,0
-c25,0,78.347264,44.260116,72.144097,43.122319,3.321408,241.195204,0
-c26,0,78.347264,44.260116,72.144097,43.122319,3.321408,241.195204,0
-c27,0,78.347264,44.260116,0,43.122319,3.321408,169.051107,0
-c28,0,78.347264,44.260116,72.144097,43.122319,3.321408,241.195204,0
-c29,0,78.347264,44.260116,72.144097,43.122319,0,237.873796,0
-c30,0,78.347264,44.260116,72.144097,43.122319,3.321408,241.195204,0
-c31,0,78.347264,44.260116,72.144097,43.122319,3.321408,241.195204,0
-c32,0,78.347264,44.260116,72.144097,43.122319,3.321408,241.195204,0
-c33,0,78.347264,0,72.144097,43.122319,3.321408,196.935088,0
-c34,0,78.347264,0,72.144097,43.122319,3.321408,196.935088,0
-c35,0,78.347264,44.260116,72.144097,43.122319,3.321408,241.195204,0
-c36,0,78.347264,0,72.144097,43.122319,3.321408,196.935088,0
-c37,0,78.347264,44.260116,72.144097,0,3.321408,198.072885,0
-c38,0,78.347264,44.260116,72.144097,43.122319,3.321408,241.195204,0
-c39,0,78.347264,44.260116,72.144097,43.122319,3.321408,241.195204,0
-c40,0,78.347264,44.260116,72.144097,43.122319,3.321408,241.195204,0
-c41,0,78.347264,44.260116,72.144097,43.122319,3.321408,241.195204,0
-c42,0,78.347264,44.260116,72.144097,43.122319,3.321408,241.195204,0
-c43,0,78.347264,44.260116,72.144097,43.122319,3.321408,241.195204,0
-c44,0,78.347264,44.260116,72.144097,43.122319,3.321408,241.195204,0
-c45,0,78.347264,44.260116,72.144097,43.122319,3.321408,241.195204,0
-c46,0,78.347264,0,72.144097,43.122319,3.321408,196.935088,0
-c47,0,78.347264,44.260116,72.144097,0,3.321408,198.072885,0
-c48,0,78.347264,44.260116,72.144097,0,3.321408,198.072885,0
-c49,0,78.347264,44.260116,72.144097,43.122319,3.321408,241.195204,0
-c50,0,78.347264,44.260116,0,43.122319,3.321408,169.051107,0
-c51,0,78.347264,44.260116,72.144097,43.122319,3.321408,241.195204,0
-c0,0
-
-Memory Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0
-c1,0,36.608647,19.907558,29.286620,18.163317,0.701660,104.667802,0
-c2,0,36.608647,19.907558,29.286620,18.163317,0.701660,104.667802,0
-c3,0,36.608647,19.907558,29.286620,18.163317,0.701660,104.667802,0
-c4,0,36.608647,19.907558,0,18.163317,0.701660,75.381182,0
-c5,0,36.608647,19.907558,29.286620,18.163317,0.701660,104.667802,0
-c6,0,36.608647,19.907558,29.286620,18.163317,0,103.966142,0
-c7,0,36.608647,19.907558,29.286620,18.163317,0,103.966142,0
-c8,0,36.608647,19.907558,29.286620,18.163317,0,103.966142,0
-c9,0,36.608647,19.907558,29.286620,18.163317,0.701660,104.667802,0
-c10,0,0,19.907558,29.286620,18.163317,0,67.357495,0
-c11,0,36.608647,19.907558,29.286620,18.163317,0,103.966142,0
-c12,0,36.608647,19.907558,29.286620,18.163317,0.701660,104.667802,0
-c13,0,36.608647,0,29.286620,18.163317,0.701660,84.760244,0
-c14,0,36.608647,19.907558,29.286620,18.163317,0.701660,104.667802,0
-c15,0,36.608647,19.907558,29.286620,18.163317,0,103.966142,0
-c16,0,36.608647,19.907558,0,18.163317,0,74.679522,0
-c17,0,36.608647,19.907558,29.286620,18.163317,0.701660,104.667802,0
-c18,0,36.608647,0,29.286620,18.163317,0,84.058584,0
-c19,0,36.608647,0,0,18.163317,0,54.771964,0
-c20,0,36.608647,19.907558,29.286620,18.163317,0,103.966142,0
-c21,0,36.608647,19.907558,29.286620,0,0.701660,86.504485,0
-c22,0,0,19.907558,0,18.163317,0.701660,38.772535,0
-c23,0,36.608647,19.907558,29.286620,0,0.701660,86.504485,0
-c24,0,36.608647,19.907558,0,18.163317,0.701660,75.381182,0
-c25,0,36.608647,19.907558,29.286620,18.163317,0.701660,104.667802,0
-c26,0,36.608647,19.907558,29.286620,18.163317,0.701660,104.667802,0
-c27,0,36.608647,19.907558,0,18.163317,0.701660,75.381182,0
-c28,0,36.608647,19.907558,29.286620,18.163317,0.701660,104.667802,0
-c29,0,36.608647,19.907558,29.286620,18.163317,0,103.966142,0
-c30,0,36.608647,19.907558,29.286620,18.163317,0.701660,104.667802,0
-c31,0,36.608647,19.907558,29.286620,18.163317,0.701660,104.667802,0
-c32,0,36.608647,19.907558,29.286620,18.163317,0.701660,104.667802,0
-c33,0,36.608647,0,29.286620,18.163317,0.701660,84.760244,0
-c34,0,36.608647,0,29.286620,18.163317,0.701660,84.760244,0
-c35,0,36.608647,19.907558,29.286620,18.163317,0.701660,104.667802,0
-c36,0,36.608647,0,29.286620,18.163317,0.701660,84.760244,0
-c37,0,36.608647,19.907558,29.286620,0,0.701660,86.504485,0
-c38,0,36.608647,19.907558,29.286620,18.163317,0.701660,104.667802,0
-c39,0,36.608647,19.907558,29.286620,18.163317,0.701660,104.667802,0
-c40,0,36.608647,19.907558,29.286620,18.163317,0.701660,104.667802,0
-c41,0,36.608647,19.907558,29.286620,18.163317,0.701660,104.667802,0
-c42,0,36.608647,19.907558,29.286620,18.163317,0.701660,104.667802,0
-c43,0,36.608647,19.907558,29.286620,18.163317,0.701660,104.667802,0
-c44,0,36.608647,19.907558,29.286620,18.163317,0.701660,104.667802,0
-c45,0,36.608647,19.907558,29.286620,18.163317,0.701660,104.667802,0
-c46,0,36.608647,0,29.286620,18.163317,0.701660,84.760244,0
-c47,0,36.608647,19.907558,29.286620,0,0.701660,86.504485,0
-c48,0,36.608647,19.907558,29.286620,0,0.701660,86.504485,0
-c49,0,36.608647,19.907558,29.286620,18.163317,0.701660,104.667802,0
-c50,0,36.608647,19.907558,0,18.163317,0.701660,75.381182,0
-c51,0,36.608647,19.907558,29.286620,18.163317,0.701660,104.667802,0
-c0,0
-
-Patch Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,0,0
-c2,0,0,0,0,0,0,0,0
-c3,0,0,0,0,0,0,0,0
-c4,0,0,0,0,0,0,0,0
-c5,0,0,0,0,0,0,0,0
-c6,0,0,0,0,0,0,0,0
-c7,0,0,0,0,0,0,0,0
-c8,0,0,0,0,0,0,0,0
-c9,0,0,0,0,0,0,0,0
-c10,0,0,0,0,0,0,0,0
-c11,0,0,0,0,0,0,0,0
-c12,0,0,0,0,0,0,0,0
-c13,0,0,0,0,0,0,0,0
-c14,0,0,0,0,0,0,0,0
-c15,0,0,0,0,0,0,0,0
-c16,0,0,0,0,0,0,0,0
-c17,0,0,0,0,0,0,0,0
-c18,0,0,0,0,0,0,0,0
-c19,0,0,0,0,0,0,0,0
-c20,0,0,0,0,0,0,0,0
-c21,0,0,0,0,0,0,0,0
-c22,0,0,0,0,0,0,0,0
-c23,0,0,0,0,0,0,0,0
-c24,0,0,0,0,0,0,0,0
-c25,0,0,0,0,0,0,0,0
-c26,0,0,0,0,0,0,0,0
-c27,0,0,0,0,0,0,0,0
-c28,0,0,0,0,0,0,0,0
-c29,0,0,0,0,0,0,0,0
-c30,0,0,0,0,0,0,0,0
-c31,0,0,0,0,0,0,0,0
-c32,0,0,0,0,0,0,0,0
-c33,0,0,0,0,0,0,0,0
-c34,0,0,0,0,0,0,0,0
-c35,0,0,0,0,0,0,0,0
-c36,0,0,0,0,0,0,0,0
-c37,0,0,0,0,0,0,0,0
-c38,0,0,0,0,0,0,0,0
-c39,0,0,0,0,0,0,0,0
-c40,0,0,0,0,0,0,0,0
-c41,0,0,0,0,0,0,0,0
-c42,0,0,0,0,0,0,0,0
-c43,0,0,0,0,0,0,0,0
-c44,0,0,0,0,0,0,0,0
-c45,0,0,0,0,0,0,0,0
-c46,0,0,0,0,0,0,0,0
-c47,0,0,0,0,0,0,0,0
-c48,0,0,0,0,0,0,0,0
-c49,0,0,0,0,0,0,0,0
-c50,0,0,0,0,0,0,0,0
-c51,0,0,0,0,0,0,0,0
-c0,0
-
-Quantization Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0
-c1,6.60174,0,0,0,0,0,6.60174,0
-c2,6.60174,0,0,0,0,0,6.60174,0
-c3,6.60174,0,0,0,0,0,6.60174,0
-c4,0,0,0,0,0,0,0,0
-c5,6.60174,0,0,0,0,0,6.60174,0
-c6,0,0,0,0,0,0,0,0
-c7,6.60174,0,0,0,0,0,6.60174,0
-c8,0,0,0,0,0,0,0,0
-c9,6.60174,0,0,0,0,0,6.60174,0
-c10,6.60174,473.091,0,0,0,0,479.69274,0
-c11,6.60174,0,0,0,0,0,6.60174,0
-c12,6.60174,0,0,0,0,0,6.60174,0
-c13,6.60174,0,0,0,0,0,6.60174,0
-c14,6.60174,0,0,0,0,0,6.60174,0
-c15,0,0,0,0,0,0,0,0
-c16,6.60174,0,0,0,0,0,6.60174,0
-c17,6.60174,0,0,0,0,0,6.60174,0
-c18,6.60174,0,0,0,0,0,6.60174,0
-c19,0,0,0,157.506,0,0,157.506,0
-c20,6.60174,0,0,0,0,0,6.60174,0
-c21,6.60174,0,0,0,0,0,6.60174,0
-c22,6.60174,473.091,0,0,0,0,479.69274,0
-c23,0,0,0,0,0,0,0,0
-c24,0,0,0,0,0,0,0,0
-c25,0,0,0,0,0,0,0,0
-c26,6.60174,0,0,0,0,0,6.60174,0
-c27,6.60174,0,0,0,0,0,6.60174,0
-c28,6.60174,0,0,0,0,0,6.60174,0
-c29,0,0,0,0,0,0,0,0
-c30,6.60174,0,0,0,0,0,6.60174,0
-c31,6.60174,0,0,0,0,0,6.60174,0
-c32,0,0,0,0,0,0,0,0
-c33,0,0,0,0,0,0,0,0
-c34,6.60174,0,0,0,0,0,6.60174,0
-c35,0,0,0,0,0,0,0,0
-c36,6.60174,0,0,0,0,0,6.60174,0
-c37,6.60174,0,0,0,0,0,6.60174,0
-c38,6.60174,0,0,0,0,0,6.60174,0
-c39,6.60174,0,0,0,0,0,6.60174,0
-c40,6.60174,0,0,0,0,0,6.60174,0
-c41,6.60174,0,0,0,0,0,6.60174,0
-c42,6.60174,0,0,0,0,0,6.60174,0
-c43,6.60174,0,0,0,0,0,6.60174,0
-c44,6.60174,0,0,0,0,0,6.60174,0
-c45,6.60174,0,0,0,0,0,6.60174,0
-c46,0,0,0,0,0,0,0,0
-c47,6.60174,0,0,0,0,0,6.60174,0
-c48,6.60174,0,0,0,0,0,6.60174,0
-c49,6.60174,0,0,0,0,0,6.60174,0
-c50,0,0,0,0,0,0,0,0
-c51,6.60174,0,0,0,0,0,6.60174,0
-c0,0
-
-Quantization Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0
-c1,5.44249,0,0,0,0,0,5.44249,0
-c2,5.44249,0,0,0,0,0,5.44249,0
-c3,5.44249,0,0,0,0,0,5.44249,0
-c4,0,0,0,0,0,0,0,0
-c5,5.44249,0,0,0,0,0,5.44249,0
-c6,0,0,0,0,0,0,0,0
-c7,5.44249,0,0,0,0,0,5.44249,0
-c8,0,0,0,0,0,0,0,0
-c9,5.44249,0,0,0,0,0,5.44249,0
-c10,5.44249,62.1589,0,0,0,0,67.60139,0
-c11,5.44249,0,0,0,0,0,5.44249,0
-c12,5.44249,0,0,0,0,0,5.44249,0
-c13,5.44249,0,0,0,0,0,5.44249,0
-c14,5.44249,0,0,0,0,0,5.44249,0
-c15,0,0,0,0,0,0,0,0
-c16,5.44249,0,0,0,0,0,5.44249,0
-c17,5.44249,0,0,0,0,0,5.44249,0
-c18,5.44249,0,0,0,0,0,5.44249,0
-c19,0,0,0,20.805,0,0,20.805,0
-c20,5.44249,0,0,0,0,0,5.44249,0
-c21,5.44249,0,0,0,0,0,5.44249,0
-c22,5.44249,62.1589,0,0,0,0,67.60139,0
-c23,0,0,0,0,0,0,0,0
-c24,0,0,0,0,0,0,0,0
-c25,0,0,0,0,0,0,0,0
-c26,5.44249,0,0,0,0,0,5.44249,0
-c27,5.44249,0,0,0,0,0,5.44249,0
-c28,5.44249,0,0,0,0,0,5.44249,0
-c29,0,0,0,0,0,0,0,0
-c30,5.44249,0,0,0,0,0,5.44249,0
-c31,5.44249,0,0,0,0,0,5.44249,0
-c32,0,0,0,0,0,0,0,0
-c33,0,0,0,0,0,0,0,0
-c34,5.44249,0,0,0,0,0,5.44249,0
-c35,0,0,0,0,0,0,0,0
-c36,5.44249,0,0,0,0,0,5.44249,0
-c37,5.44249,0,0,0,0,0,5.44249,0
-c38,5.44249,0,0,0,0,0,5.44249,0
-c39,5.44249,0,0,0,0,0,5.44249,0
-c40,5.44249,0,0,0,0,0,5.44249,0
-c41,5.44249,0,0,0,0,0,5.44249,0
-c42,5.44249,0,0,0,0,0,5.44249,0
-c43,5.44249,0,0,0,0,0,5.44249,0
-c44,5.44249,0,0,0,0,0,5.44249,0
-c45,5.44249,0,0,0,0,0,5.44249,0
-c46,0,0,0,0,0,0,0,0
-c47,5.44249,0,0,0,0,0,5.44249,0
-c48,5.44249,0,0,0,0,0,5.44249,0
-c49,5.44249,0,0,0,0,0,5.44249,0
-c50,0,0,0,0,0,0,0,0
-c51,5.44249,0,0,0,0,0,5.44249,0
-c0,0
-
-Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,FC1,Total,Improvement
-c0,1291.7259,2407.5018,1116.3819,1293.3931,972.3579,3.90263,7085.26323,0.999999985886199
-c1,1007.11399,218.942215,116.09111,157.531356,100.738165,0.79176,1601.208596,4.42494675909504
-c2,1007.11399,218.942215,116.09111,157.531356,100.738165,0.79176,1601.208596,4.42494675909504
-c3,1007.11399,218.942215,116.09111,157.531356,100.738165,0.79176,1601.208596,4.42494675909504
-c4,1291.7259,218.942215,116.09111,1293.3931,100.738165,0.79176,3021.68225,2.344807431529
-c5,1007.11399,218.942215,116.09111,157.531356,100.738165,0.79176,1601.208596,4.42494675909504
-c6,1291.7259,218.942215,116.09111,157.531356,100.738165,3.90263,1888.931376,3.75093714092993
-c7,1007.11399,218.942215,116.09111,157.531356,100.738165,3.90263,1604.319466,4.41636652706634
-c8,1291.7259,218.942215,116.09111,157.531356,100.738165,3.90263,1888.931376,3.75093714092993
-c9,1007.11399,218.942215,116.09111,157.531356,100.738165,0.79176,1601.208596,4.42494675909504
-c10,1007.11399,2469.6607,116.09111,157.531356,100.738165,3.90263,3855.037951,1.83792303377189
-c11,1007.11399,218.942215,116.09111,157.531356,100.738165,7.430588,1607.847424,4.40667608354634
-c12,1007.11399,218.942215,116.09111,157.531356,100.738165,0.79176,1601.208596,4.42494675909504
-c13,1007.11399,218.942215,653.4248,157.531356,100.738165,0.79176,2138.542286,3.31312733214164
-c14,1007.11399,218.942215,116.09111,157.531356,100.738165,0.79176,1601.208596,4.42494675909504
-c15,1291.7259,218.942215,116.09111,157.531356,100.738165,7.430588,1892.459334,3.74394457429622
-c16,1007.11399,218.942215,116.09111,1293.3931,100.738165,7.430588,2743.709168,2.58236662048553
-c17,1007.11399,218.942215,116.09111,157.531356,100.738165,0.79176,1601.208596,4.42494675909504
-c18,1007.11399,218.942215,653.4248,157.531356,100.738165,7.430588,2145.181114,3.30287398740944
-c19,1291.7259,218.942215,653.4248,1314.1981,100.738165,7.430588,3586.459768,1.97555904451013
-c20,1007.11399,218.942215,116.09111,157.531356,100.738165,3.90263,1604.319466,4.41636652706634
-c21,1007.11399,218.942215,116.09111,157.531356,510.1917,0.79176,2010.662131,3.52384558717063
-c22,1007.11399,2469.6607,116.09111,686.8162,100.738165,0.79176,4381.211925,1.61719250051588
-c23,1291.7259,218.942215,116.09111,157.531356,972.3579,0.79176,2757.440241,2.5695073523986
-c24,1291.7259,218.942215,116.09111,686.8162,100.738165,0.79176,2415.10535,2.93372830987566
-c25,1291.7259,218.942215,116.09111,157.531356,100.738165,0.79176,1885.820506,3.75712472727112
-c26,1007.11399,218.942215,116.09111,157.531356,100.738165,0.79176,1601.208596,4.42494675909504
-c27,1007.11399,218.942215,116.09111,1293.3931,100.738165,0.79176,2737.07034,2.58863021077382
-c28,1007.11399,218.942215,116.09111,157.531356,100.738165,0.79176,1601.208596,4.42494675909504
-c29,1291.7259,218.942215,116.09111,157.531356,100.738165,7.430588,1892.459334,3.74394457429622
-c30,1007.11399,218.942215,116.09111,157.531356,100.738165,0.79176,1601.208596,4.42494675909504
-c31,1007.11399,218.942215,116.09111,157.531356,100.738165,0.79176,1601.208596,4.42494675909504
-c32,1291.7259,218.942215,116.09111,157.531356,100.738165,0.79176,1885.820506,3.75712472727112
-c33,1291.7259,218.942215,1116.3819,157.531356,100.738165,0.79176,2886.111296,2.45495140617919
-c34,1007.11399,218.942215,1116.3819,157.531356,100.738165,0.79176,2601.499386,2.723530513125
-c35,1291.7259,218.942215,116.09111,157.531356,100.738165,0.79176,1885.820506,3.75712472727112
-c36,1007.11399,218.942215,1116.3819,157.531356,100.738165,0.79176,2601.499386,2.723530513125
-c37,1007.11399,218.942215,116.09111,157.531356,972.3579,0.79176,2472.828331,2.86524659017074
-c38,1007.11399,218.942215,116.09111,157.531356,100.738165,0.79176,1601.208596,4.42494675909504
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diff --git a/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_results1.csv b/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_results1.csv
deleted file mode 100644
index ca505f7f4aef79e5d466ac7e797f2040a8af1225..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_results1.csv
+++ /dev/null
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diff --git a/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_results2.csv b/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_results2.csv
deleted file mode 100644
index a2baf6209cb3a101a9d8f3b423c209e73f1d89cf..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_results2.csv
+++ /dev/null
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-c6,2545.253,150.857135,81.230765,4576.494,77.680494,0.174571,7431.689965,6.3233429996384
-c7,2545.253,340.412547,183.299064,235.670225,3304.362,0.174571,6609.171407,7.11028989007593
-c8,2545.253,340.412547,90.627243,235.670225,69.626370,0.174571,3281.763956,14.3194710363419
-c9,2545.253,7465.49,3726.01,177.024371,69.626370,0.174571,13983.578312,3.36059368807006
-c10,2545.253,7465.49,81.230765,177.024371,77.680494,0.174571,10346.853201,4.5417794164974
-c11,2545.253,340.412547,81.230765,177.024371,3304.362,0.174571,6448.457254,7.28749881843446
-c12,2545.253,7465.49,183.299064,104.439555,118.016247,0.174571,10416.672437,4.51133749103473
-c13,2545.253,150.857135,81.230765,177.024371,69.626370,0.174571,3024.166212,15.5392000636769
-c14,2545.253,150.857135,81.230765,235.670225,157.113483,0.174571,3170.299179,14.8229303331965
-c15,2545.253,150.857135,81.230765,4576.494,77.680494,0.174571,7431.689965,6.3233429996384
-c16,2545.253,340.412547,183.299064,235.670225,3304.362,0.174571,6609.171407,7.11028989007593
-c17,2545.253,340.412547,90.627243,235.670225,69.626370,0.174571,3281.763956,14.3194710363419
-c18,2545.253,7465.49,3726.01,177.024371,69.626370,0.174571,13983.578312,3.36059368807006
-c19,2545.253,150.857135,3726.01,4576.494,157.113483,0.174571,11155.902189,4.21240022820354
-c20,2545.253,7465.49,81.230765,177.024371,77.680494,0.174571,10346.853201,4.5417794164974
-c21,2545.253,7465.49,3726.01,4576.494,3304.362,0.174571,21617.783571,2.17381791136344
-c22,2545.253,340.412547,81.230765,177.024371,3304.362,0.174571,6448.457254,7.28749881843446
-c23,2545.253,7465.49,81.230765,177.024371,77.680494,0.174571,10346.853201,4.5417794164974
-c24,2545.253,150.857135,81.230765,177.024371,69.626370,0.174571,3024.166212,15.5392000636769
-c25,2545.253,340.412547,90.627243,235.670225,69.626370,0.174571,3281.763956,14.3194710363419
-c26,2545.253,340.412547,183.299064,235.670225,3304.362,0.174571,6609.171407,7.11028989007593
-c27,2545.253,7465.49,3726.01,177.024371,69.626370,0.174571,13983.578312,3.36059368807006
-c28,2545.253,7465.49,183.299064,104.439555,118.016247,0.174571,10416.672437,4.51133749103473
-c29,2545.253,150.857135,81.230765,4576.494,77.680494,0.174571,7431.689965,6.3233429996384
-c30,2545.253,150.857135,81.230765,235.670225,157.113483,0.174571,3170.299179,14.8229303331965
-c4,3024.166212
-
-Compute Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,FC1,Total,Improvement
-c0,1291.7259,2407.5018,1116.3819,1293.3931,972.3579,3.90263,7085.26323,0.999999985886199
-c1,1001.6715,1366.6231,653.4248,686.8162,510.1917,0.090100,4218.8174,1.67944293157976
-c2,1001.6715,182.333568,96.183552,128.244736,510.1917,0.090100,1918.715156,3.69271219783328
-c3,1001.6715,1366.6231,96.183552,128.244736,82.574848,0.090100,2675.387836,2.64831246888003
-c4,1001.6715,182.333568,96.183552,128.244736,82.574848,0.090100,1491.098304,4.7517073393635
-c5,1001.6715,182.333568,96.183552,128.244736,82.574848,0.090100,1491.098304,4.7517073393635
-c6,1001.6715,182.333568,96.183552,686.8162,82.574848,0.090100,2049.669768,3.45678264613099
-c7,1001.6715,182.333568,96.183552,128.244736,510.1917,0.090100,1918.715156,3.69271219783328
-c8,1001.6715,182.333568,96.183552,128.244736,82.574848,0.090100,1491.098304,4.7517073393635
-c9,1001.6715,1366.6231,653.4248,128.244736,82.574848,0.090100,3232.629084,2.19179584997523
-c10,1001.6715,1366.6231,96.183552,128.244736,82.574848,0.090100,2675.387836,2.64831246888003
-c11,1001.6715,182.333568,96.183552,128.244736,510.1917,0.090100,1918.715156,3.69271219783328
-c12,1001.6715,1366.6231,96.183552,128.244736,82.574848,0.090100,2675.387836,2.64831246888003
-c13,1001.6715,182.333568,96.183552,128.244736,82.574848,0.090100,1491.098304,4.7517073393635
-c14,1001.6715,182.333568,96.183552,128.244736,82.574848,0.090100,1491.098304,4.7517073393635
-c15,1001.6715,182.333568,96.183552,686.8162,82.574848,0.090100,2049.669768,3.45678264613099
-c16,1001.6715,182.333568,96.183552,128.244736,510.1917,0.090100,1918.715156,3.69271219783328
-c17,1001.6715,182.333568,96.183552,128.244736,82.574848,0.090100,1491.098304,4.7517073393635
-c18,1001.6715,1366.6231,653.4248,128.244736,82.574848,0.090100,3232.629084,2.19179584997523
-c19,1001.6715,182.333568,653.4248,686.8162,82.574848,0.090100,2606.911016,2.7178767954588
-c20,1001.6715,1366.6231,96.183552,128.244736,82.574848,0.090100,2675.387836,2.64831246888003
-c21,1001.6715,1366.6231,653.4248,686.8162,510.1917,0.090100,4218.8174,1.67944293157976
-c22,1001.6715,182.333568,96.183552,128.244736,510.1917,0.090100,1918.715156,3.69271219783328
-c23,1001.6715,1366.6231,96.183552,128.244736,82.574848,0.090100,2675.387836,2.64831246888003
-c24,1001.6715,182.333568,96.183552,128.244736,82.574848,0.090100,1491.098304,4.7517073393635
-c25,1001.6715,182.333568,96.183552,128.244736,82.574848,0.090100,1491.098304,4.7517073393635
-c26,1001.6715,182.333568,96.183552,128.244736,510.1917,0.090100,1918.715156,3.69271219783328
-c27,1001.6715,1366.6231,653.4248,128.244736,82.574848,0.090100,3232.629084,2.19179584997523
-c28,1001.6715,1366.6231,96.183552,128.244736,82.574848,0.090100,2675.387836,2.64831246888003
-c29,1001.6715,182.333568,96.183552,686.8162,82.574848,0.090100,2049.669768,3.45678264613099
-c30,1001.6715,182.333568,96.183552,128.244736,82.574848,0.090100,1491.098304,4.7517073393635
-c4,1491.098304
-
-Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,FC1,Total,Improvement
-c0,5417.213,16332.387,7661.092,10086.008,7470.956,25.469348,46993.125348,0.999999997872029
-c1,2551.85474,7465.49,3726.01,4576.494,3304.362,4.712122,21628.922862,2.17269835537176
-c2,2551.85474,742.825278,300.881147,478.667351,3304.362,4.712122,7383.302638,6.36478375810573
-c3,2551.85474,7465.49,402.949446,406.082535,313.098433,4.712122,11144.187276,4.21682835746318
-c4,2551.85474,553.269866,300.881147,478.667351,264.708556,4.712122,4154.093782,11.3124851490778
-c5,2551.85474,553.269866,300.881147,537.313205,352.195669,4.712122,4300.226749,10.9280572858448
-c6,2551.85474,553.269866,300.881147,4576.494,272.76268,4.712122,8259.974555,5.68925781383042
-c7,2551.85474,742.825278,402.949446,537.313205,3304.362,4.712122,7544.016791,6.22919142772105
-c8,2551.85474,742.825278,310.277625,537.313205,264.708556,4.712122,4411.691526,10.6519515260426
-c9,2551.85474,7465.49,3726.01,478.667351,264.708556,4.712122,14491.442769,3.24281893616869
-c10,2551.85474,7465.49,300.881147,478.667351,272.76268,4.712122,11074.36804,4.2434136877086
-c11,2551.85474,742.825278,300.881147,478.667351,3304.362,4.712122,7383.302638,6.36478375810573
-c12,2551.85474,7465.49,402.949446,406.082535,313.098433,4.712122,11144.187276,4.21682835746318
-c13,2551.85474,553.269866,300.881147,478.667351,264.708556,4.712122,4154.093782,11.3124851490778
-c14,2551.85474,553.269866,300.881147,537.313205,352.195669,4.712122,4300.226749,10.9280572858448
-c15,2551.85474,553.269866,300.881147,4576.494,272.76268,4.712122,8259.974555,5.68925781383042
-c16,2551.85474,742.825278,402.949446,537.313205,3304.362,4.712122,7544.016791,6.22919142772105
-c17,2551.85474,742.825278,310.277625,537.313205,264.708556,4.712122,4411.691526,10.6519515260426
-c18,2551.85474,7465.49,3726.01,478.667351,264.708556,4.712122,14491.442769,3.24281893616869
-c19,2551.85474,553.269866,3726.01,4576.494,352.195669,4.712122,11764.536397,3.994473166026
-c20,2551.85474,7465.49,300.881147,478.667351,272.76268,4.712122,11074.36804,4.2434136877086
-c21,2551.85474,7465.49,3726.01,4576.494,3304.362,4.712122,21628.922862,2.17269835537176
-c22,2551.85474,742.825278,300.881147,478.667351,3304.362,4.712122,7383.302638,6.36478375810573
-c23,2551.85474,7465.49,300.881147,478.667351,272.76268,4.712122,11074.36804,4.2434136877086
-c24,2551.85474,553.269866,300.881147,478.667351,264.708556,4.712122,4154.093782,11.3124851490778
-c25,2551.85474,742.825278,310.277625,537.313205,264.708556,4.712122,4411.691526,10.6519515260426
-c26,2551.85474,742.825278,402.949446,537.313205,3304.362,4.712122,7544.016791,6.22919142772105
-c27,2551.85474,7465.49,3726.01,478.667351,264.708556,4.712122,14491.442769,3.24281893616869
-c28,2551.85474,7465.49,402.949446,406.082535,313.098433,4.712122,11144.187276,4.21682835746318
-c29,2551.85474,553.269866,300.881147,4576.494,272.76268,4.712122,8259.974555,5.68925781383042
-c30,2551.85474,553.269866,300.881147,537.313205,352.195669,4.712122,4300.226749,10.9280572858448
-c4,4154.093782
-
-Leakage Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,1.216143,1.216143,0
-c2,0,324.065467,175.390266,229.498883,0,1.216143,730.170759,0
-c3,0,0,175.390266,229.498883,151.959867,1.216143,558.065159,0
-c4,0,324.065467,175.390266,229.498883,151.959867,1.216143,882.130626,0
-c5,0,324.065467,175.390266,229.498883,151.959867,1.216143,882.130626,0
-c6,0,324.065467,175.390266,0,151.959867,1.216143,652.631743,0
-c7,0,324.065467,175.390266,229.498883,0,1.216143,730.170759,0
-c8,0,324.065467,175.390266,229.498883,151.959867,1.216143,882.130626,0
-c9,0,0,0,229.498883,151.959867,1.216143,382.674893,0
-c10,0,0,175.390266,229.498883,151.959867,1.216143,558.065159,0
-c11,0,324.065467,175.390266,229.498883,0,1.216143,730.170759,0
-c12,0,0,175.390266,229.498883,151.959867,1.216143,558.065159,0
-c13,0,324.065467,175.390266,229.498883,151.959867,1.216143,882.130626,0
-c14,0,324.065467,175.390266,229.498883,151.959867,1.216143,882.130626,0
-c15,0,324.065467,175.390266,0,151.959867,1.216143,652.631743,0
-c16,0,324.065467,175.390266,229.498883,0,1.216143,730.170759,0
-c17,0,324.065467,175.390266,229.498883,151.959867,1.216143,882.130626,0
-c18,0,0,0,229.498883,151.959867,1.216143,382.674893,0
-c19,0,324.065467,0,0,151.959867,1.216143,477.241477,0
-c20,0,0,175.390266,229.498883,151.959867,1.216143,558.065159,0
-c21,0,0,0,0,0,1.216143,1.216143,0
-c22,0,324.065467,175.390266,229.498883,0,1.216143,730.170759,0
-c23,0,0,175.390266,229.498883,151.959867,1.216143,558.065159,0
-c24,0,324.065467,175.390266,229.498883,151.959867,1.216143,882.130626,0
-c25,0,324.065467,175.390266,229.498883,151.959867,1.216143,882.130626,0
-c26,0,324.065467,175.390266,229.498883,0,1.216143,730.170759,0
-c27,0,0,0,229.498883,151.959867,1.216143,382.674893,0
-c28,0,0,175.390266,229.498883,151.959867,1.216143,558.065159,0
-c29,0,324.065467,175.390266,0,151.959867,1.216143,652.631743,0
-c30,0,324.065467,175.390266,229.498883,151.959867,1.216143,882.130626,0
-c0,0
-
-Memory Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,3.321408,3.321408,0
-c2,0,78.347264,44.260116,72.144097,0,3.321408,198.072885,0
-c3,0,0,44.260116,72.144097,43.122319,3.321408,162.84794,0
-c4,0,78.347264,44.260116,72.144097,43.122319,3.321408,241.195204,0
-c5,0,78.347264,44.260116,72.144097,43.122319,3.321408,241.195204,0
-c6,0,78.347264,44.260116,0,43.122319,3.321408,169.051107,0
-c7,0,78.347264,44.260116,72.144097,0,3.321408,198.072885,0
-c8,0,78.347264,44.260116,72.144097,43.122319,3.321408,241.195204,0
-c9,0,0,0,72.144097,43.122319,3.321408,118.587824,0
-c10,0,0,44.260116,72.144097,43.122319,3.321408,162.84794,0
-c11,0,78.347264,44.260116,72.144097,0,3.321408,198.072885,0
-c12,0,0,44.260116,72.144097,43.122319,3.321408,162.84794,0
-c13,0,78.347264,44.260116,72.144097,43.122319,3.321408,241.195204,0
-c14,0,78.347264,44.260116,72.144097,43.122319,3.321408,241.195204,0
-c15,0,78.347264,44.260116,0,43.122319,3.321408,169.051107,0
-c16,0,78.347264,44.260116,72.144097,0,3.321408,198.072885,0
-c17,0,78.347264,44.260116,72.144097,43.122319,3.321408,241.195204,0
-c18,0,0,0,72.144097,43.122319,3.321408,118.587824,0
-c19,0,78.347264,0,0,43.122319,3.321408,124.790991,0
-c20,0,0,44.260116,72.144097,43.122319,3.321408,162.84794,0
-c21,0,0,0,0,0,3.321408,3.321408,0
-c22,0,78.347264,44.260116,72.144097,0,3.321408,198.072885,0
-c23,0,0,44.260116,72.144097,43.122319,3.321408,162.84794,0
-c24,0,78.347264,44.260116,72.144097,43.122319,3.321408,241.195204,0
-c25,0,78.347264,44.260116,72.144097,43.122319,3.321408,241.195204,0
-c26,0,78.347264,44.260116,72.144097,0,3.321408,198.072885,0
-c27,0,0,0,72.144097,43.122319,3.321408,118.587824,0
-c28,0,0,44.260116,72.144097,43.122319,3.321408,162.84794,0
-c29,0,78.347264,44.260116,0,43.122319,3.321408,169.051107,0
-c30,0,78.347264,44.260116,72.144097,43.122319,3.321408,241.195204,0
-c0,0
-
-Memory Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0.701660,0.70166,0
-c2,0,36.608647,19.907558,29.286620,0,0.701660,86.504485,0
-c3,0,0,19.907558,29.286620,18.163317,0.701660,68.059155,0
-c4,0,36.608647,19.907558,29.286620,18.163317,0.701660,104.667802,0
-c5,0,36.608647,19.907558,29.286620,18.163317,0.701660,104.667802,0
-c6,0,36.608647,19.907558,0,18.163317,0.701660,75.381182,0
-c7,0,36.608647,19.907558,29.286620,0,0.701660,86.504485,0
-c8,0,36.608647,19.907558,29.286620,18.163317,0.701660,104.667802,0
-c9,0,0,0,29.286620,18.163317,0.701660,48.151597,0
-c10,0,0,19.907558,29.286620,18.163317,0.701660,68.059155,0
-c11,0,36.608647,19.907558,29.286620,0,0.701660,86.504485,0
-c12,0,0,19.907558,29.286620,18.163317,0.701660,68.059155,0
-c13,0,36.608647,19.907558,29.286620,18.163317,0.701660,104.667802,0
-c14,0,36.608647,19.907558,29.286620,18.163317,0.701660,104.667802,0
-c15,0,36.608647,19.907558,0,18.163317,0.701660,75.381182,0
-c16,0,36.608647,19.907558,29.286620,0,0.701660,86.504485,0
-c17,0,36.608647,19.907558,29.286620,18.163317,0.701660,104.667802,0
-c18,0,0,0,29.286620,18.163317,0.701660,48.151597,0
-c19,0,36.608647,0,0,18.163317,0.701660,55.473624,0
-c20,0,0,19.907558,29.286620,18.163317,0.701660,68.059155,0
-c21,0,0,0,0,0,0.701660,0.70166,0
-c22,0,36.608647,19.907558,29.286620,0,0.701660,86.504485,0
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diff --git a/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_results2_nodma.csv b/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_results2_nodma.csv
deleted file mode 100644
index bdc6580f750a3f05adaa9913814b04efb45265bb..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_results2_nodma.csv
+++ /dev/null
@@ -1,385 +0,0 @@
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-c19,1001.6715,182.333568,653.4248,686.8162,82.574848,0.090100,2606.911016,2.7178767954588
-c20,1001.6715,1366.6231,96.183552,128.244736,82.574848,0.090100,2675.387836,2.64831246888003
-c21,1001.6715,1366.6231,653.4248,686.8162,510.1917,0.090100,4218.8174,1.67944293157976
-c22,1001.6715,182.333568,96.183552,128.244736,510.1917,0.090100,1918.715156,3.69271219783328
-c23,1001.6715,1366.6231,96.183552,128.244736,82.574848,0.090100,2675.387836,2.64831246888003
-c24,1001.6715,182.333568,96.183552,128.244736,82.574848,0.090100,1491.098304,4.7517073393635
-c25,1001.6715,182.333568,96.183552,128.244736,82.574848,0.090100,1491.098304,4.7517073393635
-c26,1001.6715,182.333568,96.183552,128.244736,510.1917,0.090100,1918.715156,3.69271219783328
-c27,1001.6715,1366.6231,653.4248,128.244736,82.574848,0.090100,3232.629084,2.19179584997523
-c28,1001.6715,1366.6231,96.183552,128.244736,82.574848,0.090100,2675.387836,2.64831246888003
-c29,1001.6715,182.333568,96.183552,686.8162,82.574848,0.090100,2049.669768,3.45678264613099
-c30,1001.6715,182.333568,96.183552,128.244736,82.574848,0.090100,1491.098304,4.7517073393635
-c4,1491.098304
-
-Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,FC1,Total,Improvement
-c0,5417.213,16332.387,7661.092,10086.008,7470.956,25.469348,46993.125348,0.999999997872029
-c1,2551.85474,7465.49,3726.01,4576.494,3304.362,16.043622,21640.254362,2.1715606639709
-c2,2551.85474,2522.2367884,673.629796,1223.341402,3492.309,20.472922,10483.8446484,4.48243239725311
-c3,2551.85474,7465.49,823.65976,1152.230657,792.0937522,4.712122,12790.0410312,3.6741965773171
-c4,2551.85474,2329.095086,673.100225,1223.479574,742.023533,4.712122,7524.26528,6.24554331548577
-c5,2551.85474,2338.258747,670.3014,1284.450006,831.495355,4.712122,7681.07237,6.11804217855531
-c6,2551.85474,2337.3387909,672.241926,4877.603,829.051566,4.712122,11272.8021449,4.16871726542178
-c7,2551.85474,2528.1343714,772.894637,1280.10994,3492.938,20.926922,10646.8586104,4.41380191343165
-c8,2551.85474,2526.3911951,679.672822,1281.002078,743.825003,4.712122,7787.4579601,6.03446272009798
-c9,2551.85474,7465.49,3726.01,1336.573655,739.8828856,4.712122,15824.5234026,2.96963920210798
-c10,2551.85474,7465.49,722.391922,1221.426035,749.227459,4.712122,12715.102278,3.69585111869085
-c11,2551.85474,2522.7929962,670.017717,1221.431058,3492.164,20.885922,10479.1464332,4.48444204870278
-c12,2551.85474,7465.49,821.940336,1148.492297,789.4342137,4.712122,12781.9237087,3.67652992235912
-c13,2551.85474,2337.0326585,667.777038,1223.584497,741.630288,4.712122,7526.5913435,6.24361315487417
-c14,2551.85474,2337.4752086,671.388474,1280.80088,830.174596,4.712122,7676.4060206,6.12176122650568
-c15,2551.85474,2337.069006,670.215899,4883.073,826.7645851,4.712122,11273.6893521,4.16838919926488
-c16,2551.85474,2523.8232109,770.740344,1280.660301,3492.395,20.932222,10640.4058179,4.41647862972455
-c17,2551.85474,2526.394765,681.279181,1284.204247,743.200746,4.712122,7791.645801,6.03121932709606
-c18,2551.85474,7465.49,3726.01,1336.035191,740.477526,4.712122,15824.579579,2.96962866004979
-c19,2551.85474,2336.5105736,3863.721,4576.494,902.097102,4.712122,14235.3895376,3.30114781149909
-c20,2551.85474,7465.49,718.9195146,1221.884731,748.256968,4.712122,12711.1180756,3.69700955484837
-c21,2551.85474,7465.49,3726.01,4576.494,3304.362,19.515522,21643.726262,2.17121232092945
-c22,2551.85474,2523.938098,669.424811,1219.711329,3491.85,20.798522,10477.5775,4.48511355792774
-c23,2551.85474,7465.49,716.178914,1222.588198,747.1898741,4.712122,12708.0138481,3.69791263528051
-c24,2551.85474,2337.0739621,669.25028,1220.715474,741.1878024,4.712122,7524.7943805,6.24510416460935
-c25,2551.85474,2526.9573985,679.479385,1280.319629,742.5067267,4.712122,7785.8300012,6.03572448116446
-c26,2551.85474,2524.6402554,769.500432,1279.196703,3491.59,20.709222,10637.4913524,4.41768865886116
-c27,2551.85474,7465.49,3726.01,1331.321972,739.463611,4.712122,15818.852445,2.9707037987944
-c28,2551.85474,7465.49,820.2617391,1147.969732,787.5597797,4.712122,12777.8481128,3.67770258069942
-c29,2551.85474,2336.5083139,668.332929,4875.324,821.0412029,4.712122,11257.7733078,4.17428239543715
-c30,2551.85474,2338.0065652,667.220353,1277.851397,826.24176,4.712122,7665.8869372,6.13016146989357
-c4,7524.26528
-
-Leakage Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,1.216143,1.216143,0
-c2,0,421.149947,200.145258,277.244900,0,1.216143,899.756248,0
-c3,0,0,200.145258,277.244900,184.944713,1.216143,663.551014,0
-c4,0,421.149947,200.145258,277.244900,184.944713,1.216143,1084.700961,0
-c5,0,421.149947,200.145258,277.244900,184.944713,1.216143,1084.700961,0
-c6,0,421.149947,200.145258,0,184.944713,1.216143,807.456061,0
-c7,0,421.149947,200.145258,277.244900,0,1.216143,899.756248,0
-c8,0,421.149947,200.145258,277.244900,184.944713,1.216143,1084.700961,0
-c9,0,0,0,277.244900,184.944713,1.216143,463.405756,0
-c10,0,0,200.145258,277.244900,184.944713,1.216143,663.551014,0
-c11,0,421.149947,200.145258,277.244900,0,1.216143,899.756248,0
-c12,0,0,200.145258,277.244900,184.944713,1.216143,663.551014,0
-c13,0,421.149947,200.145258,277.244900,184.944713,1.216143,1084.700961,0
-c14,0,421.149947,200.145258,277.244900,184.944713,1.216143,1084.700961,0
-c15,0,421.149947,200.145258,0,184.944713,1.216143,807.456061,0
-c16,0,421.149947,200.145258,277.244900,0,1.216143,899.756248,0
-c17,0,421.149947,200.145258,277.244900,184.944713,1.216143,1084.700961,0
-c18,0,0,0,277.244900,184.944713,1.216143,463.405756,0
-c19,0,421.149947,0,0,184.944713,1.216143,607.310803,0
-c20,0,0,200.145258,277.244900,184.944713,1.216143,663.551014,0
-c21,0,0,0,0,0,1.216143,1.216143,0
-c22,0,421.149947,200.145258,277.244900,0,1.216143,899.756248,0
-c23,0,0,200.145258,277.244900,184.944713,1.216143,663.551014,0
-c24,0,421.149947,200.145258,277.244900,184.944713,1.216143,1084.700961,0
-c25,0,421.149947,200.145258,277.244900,184.944713,1.216143,1084.700961,0
-c26,0,421.149947,200.145258,277.244900,0,1.216143,899.756248,0
-c27,0,0,0,277.244900,184.944713,1.216143,463.405756,0
-c28,0,0,200.145258,277.244900,184.944713,1.216143,663.551014,0
-c29,0,421.149947,200.145258,0,184.944713,1.216143,807.456061,0
-c30,0,421.149947,200.145258,277.244900,184.944713,1.216143,1084.700961,0
-c0,0
-
-Memory Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,3.321408,3.321408,0
-c2,0,393.288704,122.995476,229.614817,0,3.321408,749.220405,0
-c3,0,0,122.995476,229.614817,148.102799,3.321408,504.0345,0
-c4,0,393.288704,122.995476,229.614817,148.102799,3.321408,897.323204,0
-c5,0,393.288704,122.995476,229.614817,148.102799,3.321408,897.323204,0
-c6,0,393.288704,122.995476,0,148.102799,3.321408,667.708387,0
-c7,0,393.288704,122.995476,229.614817,0,3.321408,749.220405,0
-c8,0,393.288704,122.995476,229.614817,148.102799,3.321408,897.323204,0
-c9,0,0,0,229.614817,148.102799,3.321408,381.039024,0
-c10,0,0,122.995476,229.614817,148.102799,3.321408,504.0345,0
-c11,0,393.288704,122.995476,229.614817,0,3.321408,749.220405,0
-c12,0,0,122.995476,229.614817,148.102799,3.321408,504.0345,0
-c13,0,393.288704,122.995476,229.614817,148.102799,3.321408,897.323204,0
-c14,0,393.288704,122.995476,229.614817,148.102799,3.321408,897.323204,0
-c15,0,393.288704,122.995476,0,148.102799,3.321408,667.708387,0
-c16,0,393.288704,122.995476,229.614817,0,3.321408,749.220405,0
-c17,0,393.288704,122.995476,229.614817,148.102799,3.321408,897.323204,0
-c18,0,0,0,229.614817,148.102799,3.321408,381.039024,0
-c19,0,393.288704,0,0,148.102799,3.321408,544.712911,0
-c20,0,0,122.995476,229.614817,148.102799,3.321408,504.0345,0
-c21,0,0,0,0,0,3.321408,3.321408,0
-c22,0,393.288704,122.995476,229.614817,0,3.321408,749.220405,0
-c23,0,0,122.995476,229.614817,148.102799,3.321408,504.0345,0
-c24,0,393.288704,122.995476,229.614817,148.102799,3.321408,897.323204,0
-c25,0,393.288704,122.995476,229.614817,148.102799,3.321408,897.323204,0
-c26,0,393.288704,122.995476,229.614817,0,3.321408,749.220405,0
-c27,0,0,0,229.614817,148.102799,3.321408,381.039024,0
-c28,0,0,122.995476,229.614817,148.102799,3.321408,504.0345,0
-c29,0,393.288704,122.995476,0,148.102799,3.321408,667.708387,0
-c30,0,393.288704,122.995476,229.614817,148.102799,3.321408,897.323204,0
-c0,0
-
-Memory Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0.701660,0.70166,0
-c2,0,102.144647,36.291558,62.054620,0,0.701660,201.192485,0
-c3,0,0,36.291558,62.054620,40.008650,0.701660,139.056488,0
-c4,0,102.144647,36.291558,62.054620,40.008650,0.701660,241.201135,0
-c5,0,102.144647,36.291558,62.054620,40.008650,0.701660,241.201135,0
-c6,0,102.144647,36.291558,0,40.008650,0.701660,179.146515,0
-c7,0,102.144647,36.291558,62.054620,0,0.701660,201.192485,0
-c8,0,102.144647,36.291558,62.054620,40.008650,0.701660,241.201135,0
-c9,0,0,0,62.054620,40.008650,0.701660,102.76493,0
-c10,0,0,36.291558,62.054620,40.008650,0.701660,139.056488,0
-c11,0,102.144647,36.291558,62.054620,0,0.701660,201.192485,0
-c12,0,0,36.291558,62.054620,40.008650,0.701660,139.056488,0
-c13,0,102.144647,36.291558,62.054620,40.008650,0.701660,241.201135,0
-c14,0,102.144647,36.291558,62.054620,40.008650,0.701660,241.201135,0
-c15,0,102.144647,36.291558,0,40.008650,0.701660,179.146515,0
-c16,0,102.144647,36.291558,62.054620,0,0.701660,201.192485,0
-c17,0,102.144647,36.291558,62.054620,40.008650,0.701660,241.201135,0
-c18,0,0,0,62.054620,40.008650,0.701660,102.76493,0
-c19,0,102.144647,0,0,40.008650,0.701660,142.854957,0
-c20,0,0,36.291558,62.054620,40.008650,0.701660,139.056488,0
-c21,0,0,0,0,0,0.701660,0.70166,0
-c22,0,102.144647,36.291558,62.054620,0,0.701660,201.192485,0
-c23,0,0,36.291558,62.054620,40.008650,0.701660,139.056488,0
-c24,0,102.144647,36.291558,62.054620,40.008650,0.701660,241.201135,0
-c25,0,102.144647,36.291558,62.054620,40.008650,0.701660,241.201135,0
-c26,0,102.144647,36.291558,62.054620,0,0.701660,201.192485,0
-c27,0,0,0,62.054620,40.008650,0.701660,102.76493,0
-c28,0,0,36.291558,62.054620,40.008650,0.701660,139.056488,0
-c29,0,102.144647,36.291558,0,40.008650,0.701660,179.146515,0
-c30,0,102.144647,36.291558,62.054620,40.008650,0.701660,241.201135,0
-c0,0
-
-Patch Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,0,0
-c2,0,1196.1747904,238.515497,521.684414,0,0,1956.3747014,0
-c3,0,0,236.445362,523.058785,322.8415932,0,1082.3457402,0
-c4,0,1194.5813,238.150626,521.636186,320.960251,0,2275.328363,0
-c5,0,1197.451061,235.307601,523.633564,323.27086,0,2279.663086,0
-c6,0,1197.3483049,237.033027,0,324.10256,0,1758.4838919,0
-c7,0,1198.2328734,235.765639,519.301098,0,0,1953.2996104,0
-c8,0,1199.0089971,235.690245,520.781736,323.136621,0,2278.6175991,0
-c9,0,0,0,520.743567,319.2947036,0,840.0382706,0
-c10,0,0,234.667623,519.775147,320.329953,0,1074.772723,0
-c11,0,1194.9892982,234.868518,519.37237,0,0,1949.2301862,0
-c12,0,0,233.913838,519.200225,320.5362547,0,1073.6503177,0
-c13,0,1197.6845725,232.848339,521.412309,320.835906,0,2272.7811265,0
-c14,0,1196.5545226,236.270075,520.184738,321.883301,0,2274.8926366,0
-c15,0,1197.76962,235.32,0,321.0015791,0,1754.0911991,0
-c16,0,1196.1132129,233.776746,520.229259,0,0,1950.1192179,0
-c17,0,1197.961867,237.070404,523.800605,322.661664,0,2281.49454,0
-c18,0,0,0,520.870003,319.940244,0,840.810247,0
-c19,0,1197.7193876,0,0,320.189107,0,1517.9084946,0
-c20,0,0,232.0296156,520.170043,319.681662,0,1071.8813206,0
-c21,0,0,0,0,0,0,0,0
-c22,0,1198.27,235.041712,517.850241,0,0,1951.161953,0
-c23,0,0,230.770615,520.30101,318.1976681,0,1069.2692931,0
-c24,0,1197.9032761,234.173681,519.397086,320.5284204,0,2272.0024635,0
-c25,0,1198.5120005,234.910708,519.968287,321.7786447,0,2275.1696402,0
-c26,0,1194.4315574,232.473034,519.043561,0,0,1945.9481524,0
-c27,0,0,0,519.285984,318.598729,0,837.884713,0
-c28,0,0,230.8411411,518.47986,318.6336207,0,1067.9546218,0
-c29,0,1198.9265279,233.63753,0,317.9858969,0,1750.5499548,0
-c30,0,1198.0251792,233.028754,517.462755,318.097265,0,2266.6139532,0
-c0,0
-
-Quantization Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0
-c1,6.60174,0,0,0,0,11.3315,17.93324,0
-c2,6.60174,69.6338,0,0,187.947,15.7608,279.94334,0
-c3,6.60174,0,50.47,0,0,0,57.07174,0
-c4,6.60174,70.7919,0,0,0,0,77.39364,0
-c5,6.60174,73.1999,0,0,0,0,79.80164,0
-c6,6.60174,71.3667,0,301.109,75.9741,0,455.05154,0
-c7,6.60174,72.3373,0,0,188.576,16.2148,283.72984,0
-c8,6.60174,69.727,0,0,0,0,76.32874,0
-c9,6.60174,0,0,113.939,0,0,120.54074,0
-c10,6.60174,0,52.3655,0,0,0,58.96724,0
-c11,6.60174,71.6995,0,0,187.802,16.1738,282.27704,0
-c12,6.60174,0,50.6831,0,0,0,57.28484,0
-c13,6.60174,71.5133,0,0,0,0,78.11504,0
-c14,6.60174,72.0479,0,0,0,0,78.64964,0
-c15,6.60174,70.9476,0,306.579,76.848,0,460.97634,0
-c16,6.60174,71.5908,0,0,188.033,16.2201,282.44564,0
-c17,6.60174,69.6907,0,0,0,0,76.29244,0
-c18,6.60174,0,0,113.477,0,0,120.07874,0
-c19,6.60174,71.5704,137.711,0,73.7108,0,289.59394,0
-c20,6.60174,0,51.7873,0,0,0,58.38904,0
-c21,6.60174,0,0,0,0,14.8034,21.40514,0
-c22,6.60174,69.3249,0,0,187.488,16.0864,279.50104,0
-c23,6.60174,0,50.3426,0,0,0,56.94434,0
-c24,6.60174,71.2709,0,0,0,0,77.87264,0
-c25,6.60174,71.1902,0,0,0,0,77.79194,0
-c26,6.60174,71.5955,0,0,187.228,15.9971,281.42234,0
-c27,6.60174,0,0,110.437,0,0,117.03874,0
-c28,6.60174,0,51.6476,0,0,0,58.24934,0
-c29,6.60174,70.621,0,298.83,74.405,0,450.45774,0
-c30,6.60174,71.4056,0,0,0,0,78.00734,0
-c0,0
-
-Quantization Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0
-c1,5.44249,0,0,0,0,0,5.44249,0
-c2,5.44249,0,0,0,84.5332,0,89.97569,0
-c3,5.44249,0,0,0,0,0,5.44249,0
-c4,5.44249,0,0,0,0,0,5.44249,0
-c5,5.44249,0,0,0,0,0,5.44249,0
-c6,5.44249,0,0,126.79,0,0,132.23249,0
-c7,5.44249,0,0,0,84.8673,0,90.30979,0
-c8,5.44249,0,0,0,0,0,5.44249,0
-c9,5.44249,0,0,0,0,0,5.44249,0
-c10,5.44249,0,0,0,0,0,5.44249,0
-c11,5.44249,0,0,0,84.4277,0,89.87019,0
-c12,5.44249,0,0,0,0,0,5.44249,0
-c13,5.44249,0,0,0,0,0,5.44249,0
-c14,5.44249,0,0,0,0,0,5.44249,0
-c15,5.44249,0,0,126.687,0,0,132.12949,0
-c16,5.44249,0,0,0,84.6577,0,90.10019,0
-c17,5.44249,0,0,0,0,0,5.44249,0
-c18,5.44249,0,0,0,0,0,5.44249,0
-c19,5.44249,0,63.5646,0,0,0,69.00709,0
-c20,5.44249,0,0,0,0,0,5.44249,0
-c21,5.44249,0,0,0,0,0,5.44249,0
-c22,5.44249,0,0,0,84.4342,0,89.87669,0
-c23,5.44249,0,0,0,0,0,5.44249,0
-c24,5.44249,0,0,0,0,0,5.44249,0
-c25,5.44249,0,0,0,0,0,5.44249,0
-c26,5.44249,0,0,0,84.637,0,90.07949,0
-c27,5.44249,0,0,0,0,0,5.44249,0
-c28,5.44249,0,0,0,0,0,5.44249,0
-c29,5.44249,0,0,126.691,0,0,132.13349,0
-c30,5.44249,0,0,0,0,0,5.44249,0
-c0,0
-
-Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,FC1,Total,Improvement
-c0,1291.7259,2407.5018,1116.3819,1293.3931,972.3579,3.90263,7085.26323,0.999999985886199
-c1,1007.11399,1366.6231,653.4248,686.8162,510.1917,0.79176,4224.96155,1.67700060188712
-c2,1007.11399,284.478215,132.47511,190.299356,594.7249,0.79176,2209.883331,3.20617057470485
-c3,1007.11399,1366.6231,132.47511,190.299356,122.583498,0.79176,2819.886814,2.51260545053191
-c4,1007.11399,284.478215,132.47511,190.299356,122.583498,0.79176,1737.741929,4.07728138685653
-c5,1007.11399,284.478215,132.47511,190.299356,122.583498,0.79176,1737.741929,4.07728138685653
-c6,1007.11399,284.478215,132.47511,813.6062,122.583498,0.79176,2361.048773,3.00089647064243
-c7,1007.11399,284.478215,132.47511,190.299356,595.059,0.79176,2210.217431,3.2056859248575
-c8,1007.11399,284.478215,132.47511,190.299356,122.583498,0.79176,1737.741929,4.07728138685653
-c9,1007.11399,1366.6231,653.4248,190.299356,122.583498,0.79176,3340.836504,2.12080507664361
-c10,1007.11399,1366.6231,132.47511,190.299356,122.583498,0.79176,2819.886814,2.51260545053191
-c11,1007.11399,284.478215,132.47511,190.299356,594.6194,0.79176,2209.777831,3.20632364483506
-c12,1007.11399,1366.6231,132.47511,190.299356,122.583498,0.79176,2819.886814,2.51260545053191
-c13,1007.11399,284.478215,132.47511,190.299356,122.583498,0.79176,1737.741929,4.07728138685653
-c14,1007.11399,284.478215,132.47511,190.299356,122.583498,0.79176,1737.741929,4.07728138685653
-c15,1007.11399,284.478215,132.47511,813.5032,122.583498,0.79176,2360.945773,3.0010273895
-c16,1007.11399,284.478215,132.47511,190.299356,594.8494,0.79176,2210.007831,3.20598995624147
-c17,1007.11399,284.478215,132.47511,190.299356,122.583498,0.79176,1737.741929,4.07728138685653
-c18,1007.11399,1366.6231,653.4248,190.299356,122.583498,0.79176,3340.836504,2.12080507664361
-c19,1007.11399,284.478215,716.9894,686.8162,122.583498,0.79176,2818.773063,2.51359822883343
-c20,1007.11399,1366.6231,132.47511,190.299356,122.583498,0.79176,2819.886814,2.51260545053191
-c21,1007.11399,1366.6231,653.4248,686.8162,510.1917,0.79176,4224.96155,1.67700060188712
-c22,1007.11399,284.478215,132.47511,190.299356,594.6259,0.79176,2209.784331,3.20631421355145
-c23,1007.11399,1366.6231,132.47511,190.299356,122.583498,0.79176,2819.886814,2.51260545053191
-c24,1007.11399,284.478215,132.47511,190.299356,122.583498,0.79176,1737.741929,4.07728138685653
-c25,1007.11399,284.478215,132.47511,190.299356,122.583498,0.79176,1737.741929,4.07728138685653
-c26,1007.11399,284.478215,132.47511,190.299356,594.8287,0.79176,2209.987131,3.20601998537068
-c27,1007.11399,1366.6231,653.4248,190.299356,122.583498,0.79176,3340.836504,2.12080507664361
-c28,1007.11399,1366.6231,132.47511,190.299356,122.583498,0.79176,2819.886814,2.51260545053191
-c29,1007.11399,284.478215,132.47511,813.5072,122.583498,0.79176,2360.949773,3.00102230505933
-c30,1007.11399,284.478215,132.47511,190.299356,122.583498,0.79176,1737.741929,4.07728138685653
-c4,1737.741929
-
-Unpatch Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,0,0
-c2,0,101.577,30.7428,17.7729,0,0,150.0927,0
-c3,0,0,30.3046,17.8726,18.1884,0,66.3656,0
-c4,0,98.4261,30.5781,17.9593,18.3894,0,165.3529,0
-c5,0,102.312,30.6223,18.2865,18.0635,0,169.2843,0
-c6,0,103.328,30.8374,0,18.2469,0,152.4123,0
-c7,0,102.713,30.6892,18.2789,0,0,151.6811,0
-c8,0,102.804,30.2146,17.6904,18.0145,0,168.7235,0
-c9,0,0,0,18.007,17.9143,0,35.9213,0
-c10,0,0,30.9873,17.7668,18.1695,0,66.9236,0
-c11,0,101.253,30.7777,18.1746,0,0,150.2053,0
-c12,0,0,30.9036,17.9928,17.8342,0,66.7306,0
-c13,0,102.539,30.5572,18.2881,18.1205,0,169.5048,0
-c14,0,103.577,30.7469,18.0862,18.1303,0,170.5404,0
-c15,0,103.056,30.5244,0,18.187,0,151.7674,0
-c16,0,101.268,30.5238,17.9011,0,0,149.6929,0
-c17,0,103.891,30.4408,17.8737,17.8652,0,170.0707,0
-c18,0,0,0,17.8041,17.8634,0,35.6675,0
-c19,0,101.925,0,0,18.0362,0,119.9612,0
-c20,0,0,30.7311,17.8306,17.8473,0,66.409,0
-c21,0,0,0,0,0,0,0,0
-c22,0,101.492,30.0116,17.977,0,0,149.4806,0
-c23,0,0,30.6942,18.4031,18.2642,0,67.3615,0
-c24,0,102.604,30.7051,17.4343,17.9855,0,168.7289,0
-c25,0,102.404,30.8007,17.8214,18.0542,0,169.0803,0
-c26,0,103.762,30.5876,17.6232,0,0,151.9728,0
-c27,0,0,0,17.7149,18.191,0,35.9059,0
-c28,0,0,31.3332,18.1906,17.8624,0,67.3862,0
-c29,0,101.665,30.3239,0,17.9223,0,149.9112,0
-c30,0,103.28,29.8201,17.8587,17.9835,0,168.9423,0
-c0,0
-
diff --git a/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_tensors.txt b/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_tensors.txt
deleted file mode 100644
index e7f0a6e270ba81fa11ec07b261192e5b50a4d93d..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/alexnet_cifar10/alexnet_tensors.txt
+++ /dev/null
@@ -1,26 +0,0 @@
-#Conv1,4
-Conv1,925.494,3271.78,759.668,1563.71,5.44249,6.60174,83.2352,403.353
-Add1,114.477,689.511,93.2842,353.575,309.757,1205.25,83.2903,330.731
-Tanh1,76.4029,470.583,71.349,309.397,100.913,396.573,83.2272,381.858
-Pool1,175.352,985.339,77.3703,318.571,210.001,844.263,20.9052,88.6981
-#Conv2,4
-Conv2,2080.05,13944.8,1196.88,6519.17,26.722,110.701,62.1589,473.091
-Add2,139.245,1083.98,57.2394,332.553,183.024,1140.1,62.1204,356.499
-Tanh2,55.9198,411.855,53.7113,299.392,76.8765,416.385,62.0292,344.851
-Pool2,132.287,891.752,58.7924,314.375,76.8368,405.93,15.6216,82.0579
-#Conv3,3
-Conv3,1014.71,6863.91,561.436,3134.15,20.4033,103.834,31.0982,213.521
-Add3,73.7075,582.264,64.5391,421.019,39.2865,257.541,31.1203,195.786
-Tanh3,27.9644,214.918,27.4497,170.841,39.0187,237.416,31.0592,188.341
-#Conv4,3
-Conv4,1226.86,9535.92,627.538,4183.57,39.4494,231.112,20.805,157.506
-Add4,47.9113,399.265,40.9697,274.189,75.4038,524.503,20.652,132.57
-Tanh4,18.6218,150.823,18.3085,118.735,26.1769,164.262,20.6587,128.708
-#Conv5,4
-Conv5,861.092,6591.9,430.284,2806.26,26.6141,161.682,20.7426,148.724
-Add5,47.955,388.123,41.049,260.675,79.1767,523.707,20.6328,125.982
-Tanh5,18.6201,147.003,18.3283,114.102,26.1523,156.042,20.633,123.091
-Pool3,44.6908,343.93,20.5304,123.325,26.4508,154.684,5.2822,29.1224
-#FC1,2
-Mul1,3.73053,25.3858,6.85001,40.5555,7.36824,40.3988,0.141077,0.0604596
-Add6,0.1721,0.083548,0.580578,3.19613,0.460408,1.00469,0.0886822,0.0103369
diff --git a/hpvm/projects/soc_simulator/alexnet_imagenet/alexnet_imagenet_cost.txt b/hpvm/projects/soc_simulator/alexnet_imagenet/alexnet_imagenet_cost.txt
deleted file mode 100644
index 194ff1abc9fed79d834c684d17294a325d8edbaf..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/alexnet_imagenet/alexnet_imagenet_cost.txt
+++ /dev/null
@@ -1,8 +0,0 @@
-1457111.000000
-4478976.000000
-2242805.750000
-2990407.750000
-1993605.125000
-754974.750000
-335544.312500
-81920.000000
diff --git a/hpvm/projects/soc_simulator/alexnet_imagenet/alexnet_imagenet_layers.txt b/hpvm/projects/soc_simulator/alexnet_imagenet/alexnet_imagenet_layers.txt
deleted file mode 100644
index 63057b7e8d383cf2d515c08faf7a1c4b82899142..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/alexnet_imagenet/alexnet_imagenet_layers.txt
+++ /dev/null
@@ -1,8 +0,0 @@
-Conv1,6000,3,224,224,64,3,11,11,4,4
-Conv2,6000,64,27,27,192,64,5,5,1,1
-Conv3,6000,192,13,13,384,192,3,3,1,1
-Conv4,6000,384,13,13,256,384,3,3,1,1
-Conv5,6000,256,13,13,256,256,3,3,1,1
-FC1,6000,9216,9216,4096
-FC2,6000,4096,4096,4096
-FC3,6000,4096,4096,1000
diff --git a/hpvm/projects/soc_simulator/alexnet_imagenet/alexnet_imagenet_ops.txt b/hpvm/projects/soc_simulator/alexnet_imagenet/alexnet_imagenet_ops.txt
deleted file mode 100644
index 71b2fff58b49eeed8ffccea5ef99d65d06e44d31..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/alexnet_imagenet/alexnet_imagenet_ops.txt
+++ /dev/null
@@ -1,34 +0,0 @@
-#Conv1,4
-Conv1
-Add1
-Relu1
-Pool1
-#Conv2,4
-Conv2
-Add2
-Relu2
-Pool2
-#Conv3,3
-Conv3
-Add3
-Relu3
-#Conv4,3
-Conv4
-Add4
-Relu4
-#Conv5,4
-Conv5
-Add5
-Relu5
-Pool3
-#FC1,3
-Mul1
-Add6
-Relu6
-#FC2,3
-Mul2
-Add7
-Relu7
-#FC3,2
-Mul3
-Add8
diff --git a/hpvm/projects/soc_simulator/alexnet_imagenet/layer_composition.txt b/hpvm/projects/soc_simulator/alexnet_imagenet/layer_composition.txt
deleted file mode 100644
index b2bf962cd60722978b3205adca9c5822e59fc603..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/alexnet_imagenet/layer_composition.txt
+++ /dev/null
@@ -1,8 +0,0 @@
-conv add activation pool
-conv add activation pool
-conv add activation
-conv add activation
-conv add activation pool
-dense add activation
-dense add activation
-dense add
diff --git a/hpvm/projects/soc_simulator/ddr_test.cpp b/hpvm/projects/soc_simulator/ddr_test.cpp
deleted file mode 100644
index 53c0e3b6d94f6fd2e1a9ea2a177767b4c46c9b9c..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/ddr_test.cpp
+++ /dev/null
@@ -1,70 +0,0 @@
-#include <iostream>
-#include <fstream>
-#include <cstdlib>
-#include <cstring>
-#include <chrono>
-
-// Goes through a 16 MB array to clear out the cache
-char clearCache() {
- static const unsigned num_bytes = 16 * 1024 * 1024;
- static char *temp = (char *) std::malloc(num_bytes);
- for (unsigned i = 0; i < num_bytes; i++)
- temp[i] = rand();
- return temp[rand() % num_bytes];
-}
-
-int main() {
- srand(1);
- std::chrono::time_point<std::chrono::high_resolution_clock> start;
- std::chrono::time_point<std::chrono::high_resolution_clock> end;
- std::ofstream ofs;
- ofs.open("profile_data.txt");
-
- // 1 MB to 64 MB
- for (unsigned i = 20; i < 26; i++) {
- const unsigned num_bytes = 1 << i;
- char *src = (char *) std::malloc(num_bytes);
- char *dst = (char *) std::malloc(num_bytes);
-
- // Test writes
- clearCache();
- start = std::chrono::high_resolution_clock::now();
- for (unsigned j = 0; j < num_bytes; j++)
- src[j] = rand();
- end = std::chrono::high_resolution_clock::now();
- std::cout << num_bytes << "w = " << (static_cast<double>(num_bytes) / 1e9) / std::chrono::duration<double>(end - start).count() << "\n";
- ofs << num_bytes << "w\t" << std::to_string(std::chrono::duration<double>(start.time_since_epoch()).count()) << "\n";
- ofs << num_bytes << "w\t" << std::to_string(std::chrono::duration<double>(end.time_since_epoch()).count()) << "\n";
- ofs.flush();
-
- // Test reads
- clearCache();
- char sum;
- start = std::chrono::high_resolution_clock::now();
- for (unsigned j = 0; j < num_bytes; j++)
- sum += src[j];
- end = std::chrono::high_resolution_clock::now();
- std::cout << num_bytes << "r = " << (static_cast<double>(num_bytes) / 1e9) / std::chrono::duration<double>(end - start).count() << "\n";
- ofs << num_bytes << "r\t" << std::to_string(std::chrono::duration<double>(start.time_since_epoch()).count()) << "\n";
- ofs << num_bytes << "r\t" << std::to_string(std::chrono::duration<double>(end.time_since_epoch()).count()) << "\n";
- ofs.flush();
-
- // Test read-then-write
- clearCache();
- start = std::chrono::high_resolution_clock::now();
- std::memcpy(dst, src, num_bytes);
- end = std::chrono::high_resolution_clock::now();
- std::cout << num_bytes << "rw = " << (static_cast<double>(num_bytes) / 1e9) / std::chrono::duration<double>(end - start).count() << "\n";
- ofs << num_bytes << "rw\t" << std::to_string(std::chrono::duration<double>(start.time_since_epoch()).count()) << "\n";
- ofs << num_bytes << "rw\t" << std::to_string(std::chrono::duration<double>(end.time_since_epoch()).count()) << "\n";
- ofs.flush();
-
- // So the compiler doesn't optimize out everything
- std::cout << num_bytes << ": " << sum << "\n";
- std::cout << num_bytes << ": " << dst[rand() % num_bytes] << "\n";
-
- free(src);
- free(dst);
- }
- return 0;
-}
diff --git a/hpvm/projects/soc_simulator/docs/.gitkeep b/hpvm/projects/soc_simulator/docs/.gitkeep
deleted file mode 100644
index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000
diff --git a/hpvm/projects/soc_simulator/docs/howToUse.md b/hpvm/projects/soc_simulator/docs/howToUse.md
deleted file mode 100644
index 12f946e36c0a5053d5b5e07f85c2b9909db349bc..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/docs/howToUse.md
+++ /dev/null
@@ -1,93 +0,0 @@
-# Workflow
-
-## Source Code Generation
-Generate new benchmarks with new parameter calls from pre-existing benchmarks. Each new benchmark generated corresponds to an inputted knob ID. Each new benchmark contains calls to the online profiler and prints the total time and energy usage at the end of the benchmark.
-Source code: llvm/projects/hpvm-tensor-rt/code_autogenerators/source_code_autogenerator.py
-
-## Usage:
-python source_code_autogenerator.py <table file> <original filenames file> [per_tensor]
-* table file: File containing table containing parameters to be changed (see "Table" section for more info)
-* original filenames file: File containing newline separated file names to generate code from. A simple example:
-../dnn_sources/src/half/profiling/alexnet2_cifar10_half_profiling.cc
-../dnn_sources/src/half/profiling/alexnet_cifar10_half_profiling.cc
-../dnn_sources/src/half/profiling/mobilenet_depthwise_half_profiling.cc
-../dnn_sources/src/half/profiling/mobilenet_shallow_depthwise_half_profiling.cc
-../dnn_sources/src/half/profiling/resnet18_cifar10_half_profiling.cc
-* per_tensor is an optional parameter. If "per_tensor" is included, the code autogenerator inserts profile calls around each tensor operation, which is what's desired, and outputs a list of all tensor calls and their corresponding times/energies. If "per_tensor" is not included, the code autogenerator inserts profile calls at the beginning and end of the entire benchmark.
-python source_code_autogenerator.py clean
-* Deletes all autogenerated files not including the autogenerated CMakeLists.txt file
-
-### Table
-Format:
-approx_type,knob_id additional_param1,additional_param2,... 0 old_function_name new_function_name
-* Note that the parameters in the table file are ADDITIONAL parameters to be added to the function calls.
-* The current approx_types supported are: fp32 (copies the source code over and doesn't modify it), fp16 (converts all fp32 calls to fp16 calls by replacing tensor<Operation> with tensorHalf<Operation>), perf (knob ids 20 - 29), and samp (knob ids 31 - 36). Adding additional approximation types requires changing the source code.
-samp,31 1,1,2,0 1.88 tensorHalfConvolution tensorConvApproxHalf
-samp,32 1,1,2,1 1.88 tensorHalfConvolution tensorConvApproxHalf
-samp,33 1,1,4,0 1.88 tensorHalfConvolution tensorConvApproxHalf
-samp,34 1,1,4,1 1.88 tensorHalfConvolution tensorConvApproxHalf
-samp,35 1,1,4,2 1.88 tensorHalfConvolution tensorConvApproxHalf
-samp,36 1,1,4,3 1.88 tensorHalfConvolution tensorConvApproxHalf
-
-## Output
-For each file inputted (in the original filenames file), the code autogenerator creates a directory called <original_source_name>_different_knobs in the samne directory as source_code_autogenerator.py. This directory contains files named <original_source_name>_<id>.txt, where the id corresponds to the kob id.
-Note: The code autogenerator handles local include paths by converting them to global paths.
-Example usage:
-python source_code_autogenerator.py knob_config_fp16_knobs_31_36.txt filenames_fp16_remainder.txt per_tensor
-
-## CMakeLists.txt File Generation
-Generates a CMakeLists.txt file for all generated files in a specific directory based off a hardcoded CMakeLists.txt file path.
-Source code: llvm/projects/hpvm-tensor-rt/code_autogenerators/cmakelists_generator.py
-
-### Input
-We have the choice of inputting an arbitrarily long list containing names of all generated files directories
-* Ex: alexnet_cifar10_autogenerated_knobs mobilenet_cifar10_autogenerated_knobs
-If 0 parameters were inputted, this code generator generates the CMakeLists.txt file for all generated files (all directories ending with "autogenerated_knobs") in the current directory. This second approach works for generating a CMakeLists.txt file for the generated sources described in the previous section.
-
-## Running Benchmarks
-After generating all files required (see previous steps) and building the generated benchmarks, we can either run the binaries manually or we can use an automater I created for convenience.
-Source code: llvm/projects/hpvm-tensor-rt/code_autogenerators/benchmark_testing_automater.py
-Usage: python online_benchmark_testing_automator.py <builds dir> <outputs_file_name> [per_tensor]
-* builds_dir refers to the directory the binaries are in
-* outputs_file_name refers to the name of the file containing all the profiling info (the output file)
-* per_tensor MUST be set if the benchmarks were generated using the per_tensor parameter --> this parameter is needed to correctly parse the raw output of the binaries.
-
-## Generating the Table
-After running all the benchmarks and getting the raw profiling data (which the runtime generates), we generate a table that behaves like a massive cache and stores all the profiling data. We do this to avoid having to run every benchmark over again; instead, we can just simulate the benchmarks using the table data.
-Source code: llvm/projects/soc_simulator/src/table_generator.py
-IMPORTANT: THIS FILE SHOULD ONLY GENERATE THE TABLE BASED ON THE EXISTING PROFILE DATA FILES. IT SHOULD NOT RERUN THE BINARIES!!!
-
-### Input
-Usage: python table_generator.py <network name> <binary dir path> <soc_ops file> <num itrs> <profiler bin path>
-* <network name> refers to the name of the benchmark (ex: alexnet2) and is used to generate the output (see "output" section)
-* <binary dir path> refers to the directory containing the binaries that were run. IMPORTANT: This path must be the same as the path to the dir containing all the binaries we generated and ran at an earlier step; the table generator reads all profiling files generated by the runtime and organizes them into a table.
-* soc_ops file: ~/soc_simular/<network name>_cifar10/<network name>_ops.txt
-* num_itrs: Number of itrs we want to run the binaries for. This doesn't matter anymore because we're not running the binaries in this step.
-* profiler_bin_path: Path to the offline profiler. this doesn't matter anymore bc we're not runing the binaries in this step.
-
-### Output
-The table generator creats a directory called <network name>_results and a file within that directory called <network name>_tensors.txt, which contains the table.
-The table is outputted in the following format:
-** LayerName NumOpsInLayer <cols>
-OpName Col1Val Col2Val ...
-** Conv1 1 h2f_time h2f_energy fp32_time fp32_energy f2h_time f2h_energy fp16_perf_time fp16_perf_energy fp16_time fp16_energy
-Conv1 51.8808 97.2844 319.582 601.966 12.81 18.758 388.092 650.649 340.037 590.664
-
-### Example usage:
-python ../../soc_simulator/src/table_generator.py lenet_keras/ 10 ~/awesome_profiler/pp
-
-## SOC Simulator
-Instead of rerunning each benchmark, we simulate the benchmark runs on the gpu/promise depending on our inputted autotuner file.
-Source code: llvm/projects/soc_simulator/src/driver_new_config_fp16_repl.py
-
-### Input
-python driver.py <layer info> <tensor info> <configurations> <results file>
-* layer_info: contains info on benchmark's layers (should be in ~/soc_simulator)
-* tensors_info: the table file generated in the previous step
-* configurations: the file outputted from the autotuner
-* results file: the name of the results file
-
-### Output
-A copy of the inputted autotuner config file is created. For each configuration, the simulator computes the relative speedup and energy reduction compared to the baseline (fp32 baseline or fp16 baseline depending on the config). Then, we replace the autotuner's estimated speedup and energy reduction (first line of each configuration) with the real speedup and energy reduction. IMPORTANT NOTE: THE FIRST CONFIGURATION OF THE INPUTTED CONFIGURATIONS FILE MUST BE FOR THE FP32 BASELINE -- the soc simulator assumes that the first configuration refers to the fp32 baseline version so all speedups/energy reductions will be off if the first configuration is an actual approx config.
-Example usage:
-python driver_new_config_fp16_repl.py ~/soc_simulator/alexnet2_cifar10/alexnet2_layers.txt ~/sd_card/HPVMApprox/tensor_tables/alexnet2_results/alexnet2_tensors.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/alexnet2/data/autotuner_data/tuner_confs_batch220.txt ~/Gitlab/hpvm/llvm/test/VISC/DNN_Benchmarks/benchmarks/alexnet2/data/soc_data/tuner_confs_batch220.txt
diff --git a/hpvm/projects/soc_simulator/lenet/lenet_layers.txt b/hpvm/projects/soc_simulator/lenet/lenet_layers.txt
deleted file mode 100644
index a252f19b682e7d564fb7025d6f5f8ae36fad7a25..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/lenet/lenet_layers.txt
+++ /dev/null
@@ -1,4 +0,0 @@
-Conv1,1000,1,28,28,32,1,5,5,1,1
-Conv2,1000,32,14,14,64,32,5,5,1,1
-FC1,1000,3136,3136,1024
-FC2,1000,1024,1024,10
diff --git a/hpvm/projects/soc_simulator/lenet/lenet_ops.txt b/hpvm/projects/soc_simulator/lenet/lenet_ops.txt
deleted file mode 100644
index c1bdab18ff10fb2a89534fce6d352d47722b2433..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/lenet/lenet_ops.txt
+++ /dev/null
@@ -1,18 +0,0 @@
-#Conv1,4
-Conv1
-Add1
-Pool1
-Tanh1
-#Conv2,4
-Conv2
-Add2
-Pool2
-Tanh2
-#FC1,3
-Mul1
-Add3
-Tanh3
-#FC2,3
-Mul2
-Add4
-Tanh4
diff --git a/hpvm/projects/soc_simulator/mobilenet_cifar10/mobilenet_layers.txt b/hpvm/projects/soc_simulator/mobilenet_cifar10/mobilenet_layers.txt
deleted file mode 100644
index ec202b5be38d401551b82746655d45847567307c..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/mobilenet_cifar10/mobilenet_layers.txt
+++ /dev/null
@@ -1,83 +0,0 @@
-Conv1,2000,3,32,32,32,3,3,3,1,1
-NML1
-NML2
-NML3
-NML4
-NML5
-Conv3,2000,32,32,32,64,32,1,1,1,1
-NML6
-NML7
-NML8
-NML9
-NML10
-Conv5,2000,64,16,16,128,64,1,1,1,1
-NML11
-NML12
-NML13
-NML14
-NML15
-Conv7,2000,128,16,16,128,128,1,1,1,1
-NML16
-NML17
-NML18
-NML19
-NML20
-Conv9,2000,128,8,8,256,128,1,1,1,1
-NML21
-NML22
-NML23
-NML24
-NML25
-Conv11,2000,256,8,8,256,256,1,1,1,1
-NML26
-NML27
-NML28
-NML29
-NML30
-Conv13,2000,256,4,4,512,256,1,1,1,1
-NML31
-NML32
-NML33
-NML34
-NML35
-Conv15,2000,512,4,4,512,512,1,1,1,1
-NML36
-NML37
-NML38
-NML39
-NML40
-Conv17,2000,512,4,4,512,512,1,1,1,1
-NML41
-NML42
-NML43
-NML44
-NML45
-Conv19,2000,512,4,4,512,512,1,1,1,1
-NML46
-NML47
-NML48
-NML49
-NML50
-Conv21,2000,512,4,4,512,512,1,1,1,1
-NML51
-NML52
-NML53
-NML54
-NML55
-Conv23,2000,512,4,4,512,512,1,1,1,1
-NML56
-NML57
-NML58
-NML59
-NML60
-Conv25,2000,512,2,2,1024,512,1,1,1,1
-NML61
-NML62
-NML63
-NML64
-NML65
-Conv27,2000,1024,2,2,1024,1024,1,1,1,1
-NML66
-NML67
-NML68
-FC1,2000,1024,1024,10
diff --git a/hpvm/projects/soc_simulator/mobilenet_shallow/HA_loss1.txt b/hpvm/projects/soc_simulator/mobilenet_shallow/HA_loss1.txt
deleted file mode 100644
index 98ec2de71c8abc518c52ee3089721b0d96a06fdb..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/mobilenet_shallow/HA_loss1.txt
+++ /dev/null
@@ -1,25 +0,0 @@
-9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9 9
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,9,8,8,9,8,8,8,8,8,8,8 8
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,7,8,8,9,8,8,7,8,8,8,9 9
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,7,8,8,9,8,8,7,8,8,8,9 9
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,7,8,8,8,9 9
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,7,8,8,8,9 9
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,7,8,8,9,8,8,8,8,8,8,9 9
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,9,8,8,9,8,8,8,8,8,9,8,8,7,8,8,9,8,8,7,8,8,8,9 9
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,9,8,8,9,8,8,7,8,8,8,8 8
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,9,8,8,9,8,8,8,8,8,8,8 8
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,7,8,8,8,9 9
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,7,8,8,9,8,8,7,8,8,8,9 9
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,7,8,8,9,8,8,7,8,8,8,9 9
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,7,8,8,8,9 9
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,9,8,8,9,8,8,7,8,8,8,8 8
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,7,8,8,9,8,8,8,8,8,8,9 9
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,9,8,8,9,8,8,8,8,8,9,8,8,7,8,8,9,8,8,7,8,8,8,9 9
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,9,8,8,9,8,8,8,8,8,8,8 8
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,7,8,8,9,8,8,7,8,8,8,9 9
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,7,8,8,9,8,8,7,8,8,8,9 9
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,7,8,8,8,9 9
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,7,8,8,9,8,8,8,8,8,8,9 9
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,9,8,8,9,8,8,7,8,8,8,8 8
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,9,8,8,9,8,8,8,8,8,9,8,8,7,8,8,9,8,8,7,8,8,8,9 9
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,7,8,8,8,9 9
diff --git a/hpvm/projects/soc_simulator/mobilenet_shallow/HA_loss2.txt b/hpvm/projects/soc_simulator/mobilenet_shallow/HA_loss2.txt
deleted file mode 100644
index 9fd37f52c3a00843b7ffaca9b3d8ecbc5f1139ec..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/mobilenet_shallow/HA_loss2.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9 9
-9,8,8,9,8,8,7,8,8,9,8,8,8,8,8,9,8,8,7,8,8,9,8,8,7,8,8,9,8,8,7,8,8,9,8,8,6,8,8,8,9 9
-9,8,8,9,8,8,7,8,8,9,8,8,8,8,8,9,8,8,6,8,8,9,8,8,8,8,8,9,8,8,7,8,8,9,8,8,7,8,8,8,8 8
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,5,8,8,9,8,8,7,8,8,9,8,8,7,8,8,9,8,8,7,8,8,8,9 9
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,7,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,7,8,8,8,8 8
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,7,8,8,9,8,8,8,8,8,9,8,8,6,8,8,9,8,8,8,8,8,8,8 8
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,7,8,8,9,8,8,8,8,8,9,8,8,8,8,8,8,9 9
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,7,8,8,8,8 8
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,7,8,8,9,8,8,8,8,8,9,8,8,6,8,8,9,8,8,5,8,8,8,9 9
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,7,8,8,9,8,8,8,8,8,9,8,8,7,8,8,9,8,8,8,8,8,8,9 9
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,5,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,7,8,8,8,9 9
-9,8,8,9,8,8,7,8,8,9,8,8,8,8,8,9,8,8,7,8,8,9,8,8,7,8,8,9,8,8,7,8,8,9,8,8,6,8,8,8,9 9
-9,8,8,9,8,8,7,8,8,9,8,8,8,8,8,9,8,8,6,8,8,9,8,8,8,8,8,9,8,8,7,8,8,9,8,8,7,8,8,8,8 8
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,5,8,8,9,8,8,7,8,8,9,8,8,7,8,8,9,8,8,7,8,8,8,9 9
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,7,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,7,8,8,8,8 8
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,7,8,8,9,8,8,8,8,8,9,8,8,6,8,8,9,8,8,8,8,8,8,8 8
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,7,8,8,8,8 8
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,5,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,7,8,8,8,9 9
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,7,8,8,9,8,8,8,8,8,9,8,8,6,8,8,9,8,8,5,8,8,8,9 9
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,7,8,8,9,8,8,8,8,8,9,8,8,7,8,8,9,8,8,8,8,8,8,9 9
-9,8,8,9,8,8,7,8,8,9,8,8,7,8,8,9,8,8,8,8,8,9,8,8,9,8,8,9,8,8,5,8,8,9,8,8,8,8,8,8,9 9
-9,8,8,9,8,8,7,8,8,9,8,8,8,8,8,9,8,8,7,8,8,9,8,8,7,8,8,9,8,8,7,8,8,9,8,8,6,8,8,8,9 9
-9,8,8,9,8,8,7,8,8,9,8,8,8,8,8,9,8,8,6,8,8,9,8,8,8,8,8,9,8,8,7,8,8,9,8,8,7,8,8,8,8 8
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,5,8,8,9,8,8,7,8,8,9,8,8,7,8,8,9,8,8,7,8,8,8,9 9
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,7,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,7,8,8,8,8 8
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,7,8,8,9,8,8,8,8,8,9,8,8,6,8,8,9,8,8,8,8,8,8,8 8
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,7,8,8,8,8 8
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,7,8,8,9,8,8,8,8,8,9,8,8,6,8,8,9,8,8,5,8,8,8,9 9
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,7,8,8,9,8,8,8,8,8,9,8,8,7,8,8,9,8,8,8,8,8,8,9 9
-9,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,5,8,8,9,8,8,8,8,8,9,8,8,8,8,8,9,8,8,7,8,8,8,9 9
diff --git a/hpvm/projects/soc_simulator/mobilenet_shallow/HA_results_loss1.out b/hpvm/projects/soc_simulator/mobilenet_shallow/HA_results_loss1.out
deleted file mode 100644
index ddc3ead56dc7ccf7afe7b065617716f129141aa9..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/mobilenet_shallow/HA_results_loss1.out
+++ /dev/null
@@ -1,319 +0,0 @@
-Compute Energy
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,572.966,184.509,138.685,510.748,198.623,146.196,1046.81,410.676,295.687,405.855,99.5467,73.891,524.623,211.449,159.137,873.476,219.41,164.603,1372.91,218.702,165.077,504.488,71.2665,37.2098,954.913,148.915,79.6361,785.077,146.853,77.9379,1118.97,148.577,78.6669,256.743,121.755,15.0166,577.914,250.554,36.6268,125.046,5.547644,13535.292944,0.999999992611907
-c1,572.966,129.571,87.353,510.748,185.039,114.322,928.071,331.516,220.807,405.855,92.5426,67.4597,709.5,155.327,109.967,873.476,157.738,111.071,1042.87,151.781,104.976,504.488,63.3415,35.9187,372.978,109.567,57.0866,785.077,108.787,56.7435,1118.97,108.421,56.8779,256.743,104.322,18.9772,243.935,192.276,31.8826,63.4788,25.29103,11378.11813,1.18958976083693
-c2,572.966,129.571,87.353,510.748,185.039,114.322,928.071,331.516,220.807,405.855,92.5426,67.4597,709.5,155.327,109.967,873.476,157.738,111.071,1042.87,151.781,104.976,504.488,63.3415,35.9187,372.978,109.567,57.0866,785.077,108.787,56.7435,15.711348,108.421,56.8779,256.743,104.322,18.9772,7.862657,192.276,31.8826,63.4788,5.547644,10019.043749,1.35095655313964
-c3,572.966,129.571,87.353,510.748,185.039,114.322,928.071,331.516,220.807,405.855,92.5426,67.4597,709.5,155.327,109.967,873.476,157.738,111.071,1042.87,151.781,104.976,504.488,63.3415,35.9187,372.978,109.567,57.0866,785.077,108.787,56.7435,15.711348,108.421,56.8779,256.743,104.322,18.9772,7.862657,192.276,31.8826,63.4788,5.547644,10019.043749,1.35095655313964
-c4,572.966,129.571,87.353,510.748,185.039,114.322,928.071,331.516,220.807,405.855,92.5426,67.4597,709.5,155.327,109.967,873.476,157.738,111.071,1042.87,151.781,104.976,504.488,63.3415,35.9187,372.978,109.567,57.0866,785.077,108.787,56.7435,623.585,108.421,56.8779,256.743,104.322,18.9772,7.862657,192.276,31.8826,63.4788,5.547644,10626.917401,1.27368006223125
-c5,572.966,129.571,87.353,510.748,185.039,114.322,928.071,331.516,220.807,405.855,92.5426,67.4597,709.5,155.327,109.967,873.476,157.738,111.071,1042.87,151.781,104.976,504.488,63.3415,35.9187,372.978,109.567,57.0866,785.077,108.787,56.7435,623.585,108.421,56.8779,256.743,104.322,18.9772,7.862657,192.276,31.8826,63.4788,5.547644,10626.917401,1.27368006223125
-c6,572.966,129.571,87.353,510.748,185.039,114.322,928.071,331.516,220.807,405.855,92.5426,67.4597,709.5,155.327,109.967,873.476,157.738,111.071,1042.87,151.781,104.976,504.488,63.3415,35.9187,372.978,109.567,57.0866,785.077,108.787,56.7435,15.711348,108.421,56.8779,256.743,104.322,18.9772,243.935,192.276,31.8826,63.4788,5.547644,10255.116092,1.31985759016157
-c7,572.966,129.571,87.353,510.748,185.039,114.322,928.071,331.516,220.807,405.855,92.5426,67.4597,709.5,155.327,109.967,873.476,157.738,111.071,1372.91,151.781,104.976,504.488,63.3415,35.9187,372.978,109.567,57.0866,785.077,108.787,56.7435,15.711348,108.421,56.8779,256.743,104.322,18.9772,7.862657,192.276,31.8826,63.4788,5.547644,10349.083749,1.30787354141573
-c8,572.966,129.571,87.353,510.748,185.039,114.322,928.071,331.516,220.807,405.855,92.5426,67.4597,709.5,155.327,109.967,873.476,157.738,111.071,1042.87,151.781,104.976,504.488,63.3415,35.9187,372.978,109.567,57.0866,785.077,108.787,56.7435,1118.97,108.421,56.8779,256.743,104.322,18.9772,7.862657,192.276,31.8826,63.4788,25.29103,11142.045787,1.21479422013441
-c9,572.966,129.571,87.353,510.748,185.039,114.322,928.071,331.516,220.807,405.855,92.5426,67.4597,709.5,155.327,109.967,873.476,157.738,111.071,1042.87,151.781,104.976,504.488,63.3415,35.9187,372.978,109.567,57.0866,785.077,108.787,56.7435,1118.97,108.421,56.8779,256.743,104.322,18.9772,243.935,192.276,31.8826,63.4788,25.29103,11378.11813,1.18958976083693
-c10,572.966,129.571,87.353,510.748,185.039,114.322,928.071,331.516,220.807,405.855,92.5426,67.4597,709.5,155.327,109.967,873.476,157.738,111.071,1042.87,151.781,104.976,504.488,63.3415,35.9187,372.978,109.567,57.0866,785.077,108.787,56.7435,623.585,108.421,56.8779,256.743,104.322,18.9772,7.862657,192.276,31.8826,63.4788,5.547644,10626.917401,1.27368006223125
-c11,572.966,129.571,87.353,510.748,185.039,114.322,928.071,331.516,220.807,405.855,92.5426,67.4597,709.5,155.327,109.967,873.476,157.738,111.071,1042.87,151.781,104.976,504.488,63.3415,35.9187,372.978,109.567,57.0866,785.077,108.787,56.7435,15.711348,108.421,56.8779,256.743,104.322,18.9772,7.862657,192.276,31.8826,63.4788,5.547644,10019.043749,1.35095655313964
-c12,572.966,129.571,87.353,510.748,185.039,114.322,928.071,331.516,220.807,405.855,92.5426,67.4597,709.5,155.327,109.967,873.476,157.738,111.071,1042.87,151.781,104.976,504.488,63.3415,35.9187,372.978,109.567,57.0866,785.077,108.787,56.7435,15.711348,108.421,56.8779,256.743,104.322,18.9772,7.862657,192.276,31.8826,63.4788,5.547644,10019.043749,1.35095655313964
-c13,572.966,129.571,87.353,510.748,185.039,114.322,928.071,331.516,220.807,405.855,92.5426,67.4597,709.5,155.327,109.967,873.476,157.738,111.071,1042.87,151.781,104.976,504.488,63.3415,35.9187,372.978,109.567,57.0866,785.077,108.787,56.7435,623.585,108.421,56.8779,256.743,104.322,18.9772,7.862657,192.276,31.8826,63.4788,5.547644,10626.917401,1.27368006223125
-c14,572.966,129.571,87.353,510.748,185.039,114.322,928.071,331.516,220.807,405.855,92.5426,67.4597,709.5,155.327,109.967,873.476,157.738,111.071,1042.87,151.781,104.976,504.488,63.3415,35.9187,372.978,109.567,57.0866,785.077,108.787,56.7435,1118.97,108.421,56.8779,256.743,104.322,18.9772,7.862657,192.276,31.8826,63.4788,25.29103,11142.045787,1.21479422013441
-c15,572.966,129.571,87.353,510.748,185.039,114.322,928.071,331.516,220.807,405.855,92.5426,67.4597,709.5,155.327,109.967,873.476,157.738,111.071,1042.87,151.781,104.976,504.488,63.3415,35.9187,372.978,109.567,57.0866,785.077,108.787,56.7435,15.711348,108.421,56.8779,256.743,104.322,18.9772,243.935,192.276,31.8826,63.4788,5.547644,10255.116092,1.31985759016157
-c16,572.966,129.571,87.353,510.748,185.039,114.322,928.071,331.516,220.807,405.855,92.5426,67.4597,709.5,155.327,109.967,873.476,157.738,111.071,1372.91,151.781,104.976,504.488,63.3415,35.9187,372.978,109.567,57.0866,785.077,108.787,56.7435,15.711348,108.421,56.8779,256.743,104.322,18.9772,7.862657,192.276,31.8826,63.4788,5.547644,10349.083749,1.30787354141573
-c17,572.966,129.571,87.353,510.748,185.039,114.322,928.071,331.516,220.807,405.855,92.5426,67.4597,709.5,155.327,109.967,873.476,157.738,111.071,1042.87,151.781,104.976,504.488,63.3415,35.9187,372.978,109.567,57.0866,785.077,108.787,56.7435,1118.97,108.421,56.8779,256.743,104.322,18.9772,243.935,192.276,31.8826,63.4788,25.29103,11378.11813,1.18958976083693
-c18,572.966,129.571,87.353,510.748,185.039,114.322,928.071,331.516,220.807,405.855,92.5426,67.4597,709.5,155.327,109.967,873.476,157.738,111.071,1042.87,151.781,104.976,504.488,63.3415,35.9187,372.978,109.567,57.0866,785.077,108.787,56.7435,15.711348,108.421,56.8779,256.743,104.322,18.9772,7.862657,192.276,31.8826,63.4788,5.547644,10019.043749,1.35095655313964
-c19,572.966,129.571,87.353,510.748,185.039,114.322,928.071,331.516,220.807,405.855,92.5426,67.4597,709.5,155.327,109.967,873.476,157.738,111.071,1042.87,151.781,104.976,504.488,63.3415,35.9187,372.978,109.567,57.0866,785.077,108.787,56.7435,15.711348,108.421,56.8779,256.743,104.322,18.9772,7.862657,192.276,31.8826,63.4788,5.547644,10019.043749,1.35095655313964
-c20,572.966,129.571,87.353,510.748,185.039,114.322,928.071,331.516,220.807,405.855,92.5426,67.4597,709.5,155.327,109.967,873.476,157.738,111.071,1042.87,151.781,104.976,504.488,63.3415,35.9187,372.978,109.567,57.0866,785.077,108.787,56.7435,623.585,108.421,56.8779,256.743,104.322,18.9772,7.862657,192.276,31.8826,63.4788,5.547644,10626.917401,1.27368006223125
-c21,572.966,129.571,87.353,510.748,185.039,114.322,928.071,331.516,220.807,405.855,92.5426,67.4597,709.5,155.327,109.967,873.476,157.738,111.071,1042.87,151.781,104.976,504.488,63.3415,35.9187,372.978,109.567,57.0866,785.077,108.787,56.7435,15.711348,108.421,56.8779,256.743,104.322,18.9772,243.935,192.276,31.8826,63.4788,5.547644,10255.116092,1.31985759016157
-c22,572.966,129.571,87.353,510.748,185.039,114.322,928.071,331.516,220.807,405.855,92.5426,67.4597,709.5,155.327,109.967,873.476,157.738,111.071,1042.87,151.781,104.976,504.488,63.3415,35.9187,372.978,109.567,57.0866,785.077,108.787,56.7435,1118.97,108.421,56.8779,256.743,104.322,18.9772,7.862657,192.276,31.8826,63.4788,25.29103,11142.045787,1.21479422013441
-c23,572.966,129.571,87.353,510.748,185.039,114.322,928.071,331.516,220.807,405.855,92.5426,67.4597,709.5,155.327,109.967,873.476,157.738,111.071,1372.91,151.781,104.976,504.488,63.3415,35.9187,372.978,109.567,57.0866,785.077,108.787,56.7435,15.711348,108.421,56.8779,256.743,104.322,18.9772,7.862657,192.276,31.8826,63.4788,5.547644,10349.083749,1.30787354141573
-c24,572.966,129.571,87.353,510.748,185.039,114.322,928.071,331.516,220.807,405.855,92.5426,67.4597,709.5,155.327,109.967,873.476,157.738,111.071,1042.87,151.781,104.976,504.488,63.3415,35.9187,372.978,109.567,57.0866,785.077,108.787,56.7435,623.585,108.421,56.8779,256.743,104.322,18.9772,7.862657,192.276,31.8826,63.4788,5.547644,10626.917401,1.27368006223125
-c2,10019.043749
-
-Compute Time
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,166.211,52.3819,38.6469,138.263,52.1919,38.1309,261.935,97.7271,68.9954,92.893,23.3196,17.6047,116.17,46.1234,34.6677,197.299,46.2495,34.6984,292.058,45.663,34.4299,103.885,15.8328,8.79131,198.587,31.2316,17.2031,162.139,31.2579,17.184,233.12,31.2863,17.1913,53.1921,25.9908,4.43176,119.521,51.9366,8.7572,26.725,2.837158,3056.760228,0.999999967285626
-c1,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,233.12,27.6455,13.524,53.1921,26.0905,3.6779,63.1947,49.3667,6.98942,15.6197,6.340453,2803.076713,1.09050177070549
-c2,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,2.837158,2516.175454,1.21484378271644
-c3,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,2.837158,2516.175454,1.21484378271644
-c4,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,166.111,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,2.837158,2673.982838,1.14314874061474
-c5,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,166.111,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,2.837158,2673.982838,1.14314874061474
-c6,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,63.1947,49.3667,6.98942,15.6197,2.837158,2574.757034,1.18720332400873
-c7,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,292.058,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,2.837158,2526.995454,1.20964210766475
-c8,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,233.12,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,6.340453,2744.495133,1.11377866182652
-c9,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,233.12,27.6455,13.524,53.1921,26.0905,3.6779,63.1947,49.3667,6.98942,15.6197,6.340453,2803.076713,1.09050177070549
-c10,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,166.111,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,2.837158,2673.982838,1.14314874061474
-c11,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,2.837158,2516.175454,1.21484378271644
-c12,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,2.837158,2516.175454,1.21484378271644
-c13,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,166.111,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,2.837158,2673.982838,1.14314874061474
-c14,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,233.12,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,6.340453,2744.495133,1.11377866182652
-c15,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,63.1947,49.3667,6.98942,15.6197,2.837158,2574.757034,1.18720332400873
-c16,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,292.058,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,2.837158,2526.995454,1.20964210766475
-c17,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,233.12,27.6455,13.524,53.1921,26.0905,3.6779,63.1947,49.3667,6.98942,15.6197,6.340453,2803.076713,1.09050177070549
-c18,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,2.837158,2516.175454,1.21484378271644
-c19,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,2.837158,2516.175454,1.21484378271644
-c20,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,166.111,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,2.837158,2673.982838,1.14314874061474
-c21,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,63.1947,49.3667,6.98942,15.6197,2.837158,2574.757034,1.18720332400873
-c22,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,233.12,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,6.340453,2744.495133,1.11377866182652
-c23,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,292.058,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,2.837158,2526.995454,1.20964210766475
-c24,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,166.111,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,2.837158,2673.982838,1.14314874061474
-c2,2516.175454
-
-Energy
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,572.966,184.509,138.685,510.748,198.623,146.196,1046.81,410.676,295.687,405.855,99.5467,73.891,524.623,211.449,159.137,873.476,219.41,164.603,1372.91,218.702,165.077,504.488,71.2665,37.2098,954.913,148.915,79.6361,785.077,146.853,77.9379,1118.97,148.577,78.6669,256.743,121.755,15.0166,577.914,250.554,36.6268,125.046,5.547644,13535.292944,0.999999992611907
-c1,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,1185.8437,378.575,56.8779,270.3063,138.7565,18.9772,243.935,192.276,31.8826,63.4788,25.29103,13597.77833,0.995404728329582
-c2,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,60.851377,108.421,56.8779,270.3063,138.7565,18.9772,26.451839,192.276,31.8826,63.4788,5.6044758,11965.4622918,1.1311968146986
-c3,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,60.851377,108.421,56.8779,270.3063,138.7565,18.9772,26.451839,192.276,31.8826,63.4788,5.6044758,11965.4622918,1.1311968146986
-c4,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,623.585,108.421,56.8779,270.3063,138.7565,18.9772,26.451839,192.276,31.8826,63.4788,5.6044758,12528.1959148,1.0803864281825
-c5,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,623.585,108.421,56.8779,270.3063,138.7565,18.9772,26.451839,192.276,31.8826,63.4788,5.6044758,12528.1959148,1.0803864281825
-c6,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,60.851377,108.421,56.8779,270.3063,138.7565,18.9772,243.935,192.276,31.8826,63.4788,5.6044758,12182.9454528,1.11100331897069
-c7,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1507.228,683.9,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,60.851377,108.421,56.8779,270.3063,138.7565,18.9772,26.451839,192.276,31.8826,63.4788,5.6044758,12961.9392918,1.04423362390992
-c8,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,1185.8437,378.575,56.8779,270.3063,138.7565,18.9772,26.451839,192.276,31.8826,63.4788,25.29103,13380.295169,1.01158402500721
-c9,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,1185.8437,378.575,56.8779,270.3063,138.7565,18.9772,243.935,192.276,31.8826,63.4788,25.29103,13597.77833,0.995404728329582
-c10,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,623.585,108.421,56.8779,270.3063,138.7565,18.9772,26.451839,192.276,31.8826,63.4788,5.6044758,12528.1959148,1.0803864281825
-c11,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,60.851377,108.421,56.8779,270.3063,138.7565,18.9772,26.451839,192.276,31.8826,63.4788,5.6044758,11965.4622918,1.1311968146986
-c12,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,60.851377,108.421,56.8779,270.3063,138.7565,18.9772,26.451839,192.276,31.8826,63.4788,5.6044758,11965.4622918,1.1311968146986
-c13,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,623.585,108.421,56.8779,270.3063,138.7565,18.9772,26.451839,192.276,31.8826,63.4788,5.6044758,12528.1959148,1.0803864281825
-c14,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,1185.8437,378.575,56.8779,270.3063,138.7565,18.9772,26.451839,192.276,31.8826,63.4788,25.29103,13380.295169,1.01158402500721
-c15,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,60.851377,108.421,56.8779,270.3063,138.7565,18.9772,243.935,192.276,31.8826,63.4788,5.6044758,12182.9454528,1.11100331897069
-c16,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1507.228,683.9,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,60.851377,108.421,56.8779,270.3063,138.7565,18.9772,26.451839,192.276,31.8826,63.4788,5.6044758,12961.9392918,1.04423362390992
-c17,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,1185.8437,378.575,56.8779,270.3063,138.7565,18.9772,243.935,192.276,31.8826,63.4788,25.29103,13597.77833,0.995404728329582
-c18,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,60.851377,108.421,56.8779,270.3063,138.7565,18.9772,26.451839,192.276,31.8826,63.4788,5.6044758,11965.4622918,1.1311968146986
-c19,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,60.851377,108.421,56.8779,270.3063,138.7565,18.9772,26.451839,192.276,31.8826,63.4788,5.6044758,11965.4622918,1.1311968146986
-c20,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,623.585,108.421,56.8779,270.3063,138.7565,18.9772,26.451839,192.276,31.8826,63.4788,5.6044758,12528.1959148,1.0803864281825
-c21,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,60.851377,108.421,56.8779,270.3063,138.7565,18.9772,243.935,192.276,31.8826,63.4788,5.6044758,12182.9454528,1.11100331897069
-c22,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,1185.8437,378.575,56.8779,270.3063,138.7565,18.9772,26.451839,192.276,31.8826,63.4788,25.29103,13380.295169,1.01158402500721
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-Leakage Energy
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
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-c5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.633508,0,0,0,0,9.633508,0
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-c16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,9.633508,0,0,0,0,30.978009,0
-c17,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c18,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,9.633508,0,0,0,0,30.978009,0
-c19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,9.633508,0,0,0,0,30.978009,0
-c20,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.633508,0,0,0,0,9.633508,0
-c21,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,0,0,0,0,0,21.344501,0
-c22,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.633508,0,0,0,0,9.633508,0
-c23,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,9.633508,0,0,0,0,30.978009,0
-c24,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.633508,0,0,0,0,9.633508,0
-c0,0
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-Memory Energy
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,23.795528,0,0,0,0,0,8.955674,0,0,0,0,32.751202,0
-c3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,23.795528,0,0,0,0,0,8.955674,0,0,0,0,32.751202,0
-c4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8.955674,0,0,0,0,8.955674,0
-c5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8.955674,0,0,0,0,8.955674,0
-c6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,23.795528,0,0,0,0,0,0,0,0,0,0,23.795528,0
-c7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,23.795528,0,0,0,0,0,8.955674,0,0,0,0,32.751202,0
-c8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8.955674,0,0,0,0,8.955674,0
-c9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8.955674,0,0,0,0,8.955674,0
-c11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,23.795528,0,0,0,0,0,8.955674,0,0,0,0,32.751202,0
-c12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,23.795528,0,0,0,0,0,8.955674,0,0,0,0,32.751202,0
-c13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8.955674,0,0,0,0,8.955674,0
-c14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8.955674,0,0,0,0,8.955674,0
-c15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,23.795528,0,0,0,0,0,0,0,0,0,0,23.795528,0
-c16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,23.795528,0,0,0,0,0,8.955674,0,0,0,0,32.751202,0
-c17,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c18,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,23.795528,0,0,0,0,0,8.955674,0,0,0,0,32.751202,0
-c19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,23.795528,0,0,0,0,0,8.955674,0,0,0,0,32.751202,0
-c20,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8.955674,0,0,0,0,8.955674,0
-c21,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,23.795528,0,0,0,0,0,0,0,0,0,0,23.795528,0
-c22,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8.955674,0,0,0,0,8.955674,0
-c23,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,23.795528,0,0,0,0,0,8.955674,0,0,0,0,32.751202,0
-c24,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8.955674,0,0,0,0,8.955674,0
-c0,0
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-Memory Time
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5.877922,0,0,0,0,0,2.377545,0,0,0,0,8.255467,0
-c3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5.877922,0,0,0,0,0,2.377545,0,0,0,0,8.255467,0
-c4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.377545,0,0,0,0,2.377545,0
-c5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.377545,0,0,0,0,2.377545,0
-c6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5.877922,0,0,0,0,0,0,0,0,0,0,5.877922,0
-c7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5.877922,0,0,0,0,0,2.377545,0,0,0,0,8.255467,0
-c8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.377545,0,0,0,0,2.377545,0
-c9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
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-c12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5.877922,0,0,0,0,0,2.377545,0,0,0,0,8.255467,0
-c13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.377545,0,0,0,0,2.377545,0
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-c17,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
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-c19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5.877922,0,0,0,0,0,2.377545,0,0,0,0,8.255467,0
-c20,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.377545,0,0,0,0,2.377545,0
-c21,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5.877922,0,0,0,0,0,0,0,0,0,0,5.877922,0
-c22,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.377545,0,0,0,0,2.377545,0
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-c0,0
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-Patch Energy
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c17,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c18,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c20,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c21,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c22,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c23,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c24,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c0,0
-
-Quantization Energy
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,151.853,0,140.444,219.142,0,0,0,0,69.3933,124.248,0,0,0,0,141.551,559.805,0,0,0,0,31.7333,58.0773,0,0,0,0,67.5188,270.869,0,66.8737,270.154,0,13.5633,34.4345,0,0,0,0,0,0,2219.6602,0
-c2,0,151.853,0,140.444,219.142,0,0,0,0,69.3933,124.248,0,0,0,0,141.551,559.805,0,0,0,0,31.7333,58.0773,0,0,0,0,67.5188,270.869,0,0,0,0,13.5633,34.4345,0,0,0,0,0,0.0568318,1882.6893318,0
-c3,0,151.853,0,140.444,219.142,0,0,0,0,69.3933,124.248,0,0,0,0,141.551,559.805,0,0,0,0,31.7333,58.0773,0,0,0,0,67.5188,270.869,0,0,0,0,13.5633,34.4345,0,0,0,0,0,0.0568318,1882.6893318,0
-c4,0,151.853,0,140.444,219.142,0,0,0,0,69.3933,124.248,0,0,0,0,141.551,559.805,0,0,0,0,31.7333,58.0773,0,0,0,0,67.5188,270.869,0,0,0,0,13.5633,34.4345,0,0,0,0,0,0.0568318,1882.6893318,0
-c5,0,151.853,0,140.444,219.142,0,0,0,0,69.3933,124.248,0,0,0,0,141.551,559.805,0,0,0,0,31.7333,58.0773,0,0,0,0,67.5188,270.869,0,0,0,0,13.5633,34.4345,0,0,0,0,0,0.0568318,1882.6893318,0
-c6,0,151.853,0,140.444,219.142,0,0,0,0,69.3933,124.248,0,0,0,0,141.551,559.805,0,0,0,0,31.7333,58.0773,0,0,0,0,67.5188,270.869,0,0,0,0,13.5633,34.4345,0,0,0,0,0,0.0568318,1882.6893318,0
-c7,0,151.853,0,140.444,219.142,0,0,0,0,69.3933,124.248,0,0,0,0,141.551,559.805,0,134.318,532.119,0,31.7333,58.0773,0,0,0,0,67.5188,270.869,0,0,0,0,13.5633,34.4345,0,0,0,0,0,0.0568318,2549.1263318,0
-c8,0,151.853,0,140.444,219.142,0,0,0,0,69.3933,124.248,0,0,0,0,141.551,559.805,0,0,0,0,31.7333,58.0773,0,0,0,0,67.5188,270.869,0,66.8737,270.154,0,13.5633,34.4345,0,0,0,0,0,0,2219.6602,0
-c9,0,151.853,0,140.444,219.142,0,0,0,0,69.3933,124.248,0,0,0,0,141.551,559.805,0,0,0,0,31.7333,58.0773,0,0,0,0,67.5188,270.869,0,66.8737,270.154,0,13.5633,34.4345,0,0,0,0,0,0,2219.6602,0
-c10,0,151.853,0,140.444,219.142,0,0,0,0,69.3933,124.248,0,0,0,0,141.551,559.805,0,0,0,0,31.7333,58.0773,0,0,0,0,67.5188,270.869,0,0,0,0,13.5633,34.4345,0,0,0,0,0,0.0568318,1882.6893318,0
-c11,0,151.853,0,140.444,219.142,0,0,0,0,69.3933,124.248,0,0,0,0,141.551,559.805,0,0,0,0,31.7333,58.0773,0,0,0,0,67.5188,270.869,0,0,0,0,13.5633,34.4345,0,0,0,0,0,0.0568318,1882.6893318,0
-c12,0,151.853,0,140.444,219.142,0,0,0,0,69.3933,124.248,0,0,0,0,141.551,559.805,0,0,0,0,31.7333,58.0773,0,0,0,0,67.5188,270.869,0,0,0,0,13.5633,34.4345,0,0,0,0,0,0.0568318,1882.6893318,0
-c13,0,151.853,0,140.444,219.142,0,0,0,0,69.3933,124.248,0,0,0,0,141.551,559.805,0,0,0,0,31.7333,58.0773,0,0,0,0,67.5188,270.869,0,0,0,0,13.5633,34.4345,0,0,0,0,0,0.0568318,1882.6893318,0
-c14,0,151.853,0,140.444,219.142,0,0,0,0,69.3933,124.248,0,0,0,0,141.551,559.805,0,0,0,0,31.7333,58.0773,0,0,0,0,67.5188,270.869,0,66.8737,270.154,0,13.5633,34.4345,0,0,0,0,0,0,2219.6602,0
-c15,0,151.853,0,140.444,219.142,0,0,0,0,69.3933,124.248,0,0,0,0,141.551,559.805,0,0,0,0,31.7333,58.0773,0,0,0,0,67.5188,270.869,0,0,0,0,13.5633,34.4345,0,0,0,0,0,0.0568318,1882.6893318,0
-c16,0,151.853,0,140.444,219.142,0,0,0,0,69.3933,124.248,0,0,0,0,141.551,559.805,0,134.318,532.119,0,31.7333,58.0773,0,0,0,0,67.5188,270.869,0,0,0,0,13.5633,34.4345,0,0,0,0,0,0.0568318,2549.1263318,0
-c17,0,151.853,0,140.444,219.142,0,0,0,0,69.3933,124.248,0,0,0,0,141.551,559.805,0,0,0,0,31.7333,58.0773,0,0,0,0,67.5188,270.869,0,66.8737,270.154,0,13.5633,34.4345,0,0,0,0,0,0,2219.6602,0
-c18,0,151.853,0,140.444,219.142,0,0,0,0,69.3933,124.248,0,0,0,0,141.551,559.805,0,0,0,0,31.7333,58.0773,0,0,0,0,67.5188,270.869,0,0,0,0,13.5633,34.4345,0,0,0,0,0,0.0568318,1882.6893318,0
-c19,0,151.853,0,140.444,219.142,0,0,0,0,69.3933,124.248,0,0,0,0,141.551,559.805,0,0,0,0,31.7333,58.0773,0,0,0,0,67.5188,270.869,0,0,0,0,13.5633,34.4345,0,0,0,0,0,0.0568318,1882.6893318,0
-c20,0,151.853,0,140.444,219.142,0,0,0,0,69.3933,124.248,0,0,0,0,141.551,559.805,0,0,0,0,31.7333,58.0773,0,0,0,0,67.5188,270.869,0,0,0,0,13.5633,34.4345,0,0,0,0,0,0.0568318,1882.6893318,0
-c21,0,151.853,0,140.444,219.142,0,0,0,0,69.3933,124.248,0,0,0,0,141.551,559.805,0,0,0,0,31.7333,58.0773,0,0,0,0,67.5188,270.869,0,0,0,0,13.5633,34.4345,0,0,0,0,0,0.0568318,1882.6893318,0
-c22,0,151.853,0,140.444,219.142,0,0,0,0,69.3933,124.248,0,0,0,0,141.551,559.805,0,0,0,0,31.7333,58.0773,0,0,0,0,67.5188,270.869,0,66.8737,270.154,0,13.5633,34.4345,0,0,0,0,0,0,2219.6602,0
-c23,0,151.853,0,140.444,219.142,0,0,0,0,69.3933,124.248,0,0,0,0,141.551,559.805,0,134.318,532.119,0,31.7333,58.0773,0,0,0,0,67.5188,270.869,0,0,0,0,13.5633,34.4345,0,0,0,0,0,0.0568318,2549.1263318,0
-c24,0,151.853,0,140.444,219.142,0,0,0,0,69.3933,124.248,0,0,0,0,141.551,559.805,0,0,0,0,31.7333,58.0773,0,0,0,0,67.5188,270.869,0,0,0,0,13.5633,34.4345,0,0,0,0,0,0.0568318,1882.6893318,0
-c0,0
-
-Quantization Time
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,56.5113,0,38.0284,59.1021,0,0,0,0,19.2796,34.054,0,0,0,0,37.842,149.921,0,0,0,0,9.74596,16.9199,0,0,0,0,19.097,73.5493,0,18.9605,73.8267,0,4.99161,10.5834,0,0,0,0,0,0,622.41277,0
-c2,0,56.5113,0,38.0284,59.1021,0,0,0,0,19.2796,34.054,0,0,0,0,37.842,149.921,0,0,0,0,9.74596,16.9199,0,0,0,0,19.097,73.5493,0,0,0,0,4.99161,10.5834,0,0,0,0,0,0.303588,529.929158,0
-c3,0,56.5113,0,38.0284,59.1021,0,0,0,0,19.2796,34.054,0,0,0,0,37.842,149.921,0,0,0,0,9.74596,16.9199,0,0,0,0,19.097,73.5493,0,0,0,0,4.99161,10.5834,0,0,0,0,0,0.303588,529.929158,0
-c4,0,56.5113,0,38.0284,59.1021,0,0,0,0,19.2796,34.054,0,0,0,0,37.842,149.921,0,0,0,0,9.74596,16.9199,0,0,0,0,19.097,73.5493,0,0,0,0,4.99161,10.5834,0,0,0,0,0,0.303588,529.929158,0
-c5,0,56.5113,0,38.0284,59.1021,0,0,0,0,19.2796,34.054,0,0,0,0,37.842,149.921,0,0,0,0,9.74596,16.9199,0,0,0,0,19.097,73.5493,0,0,0,0,4.99161,10.5834,0,0,0,0,0,0.303588,529.929158,0
-c6,0,56.5113,0,38.0284,59.1021,0,0,0,0,19.2796,34.054,0,0,0,0,37.842,149.921,0,0,0,0,9.74596,16.9199,0,0,0,0,19.097,73.5493,0,0,0,0,4.99161,10.5834,0,0,0,0,0,0.303588,529.929158,0
-c7,0,56.5113,0,38.0284,59.1021,0,0,0,0,19.2796,34.054,0,0,0,0,37.842,149.921,0,37.6677,148.426,0,9.74596,16.9199,0,0,0,0,19.097,73.5493,0,0,0,0,4.99161,10.5834,0,0,0,0,0,0.303588,716.022858,0
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-c0,0
-
-Time
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
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diff --git a/hpvm/projects/soc_simulator/mobilenet_shallow/HA_results_loss2.out b/hpvm/projects/soc_simulator/mobilenet_shallow/HA_results_loss2.out
deleted file mode 100644
index 25c65eae81141ec16294f4c133b32879d039277a..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/mobilenet_shallow/HA_results_loss2.out
+++ /dev/null
@@ -1,374 +0,0 @@
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-c20,572.966,129.571,87.353,510.748,185.039,114.322,31.422697,331.516,220.807,405.855,92.5426,67.4597,15.711348,155.327,109.967,873.476,157.738,111.071,1042.87,151.781,104.976,504.488,63.3415,35.9187,954.913,109.567,57.0866,785.077,108.787,56.7435,7.768049,108.421,56.8779,256.743,104.322,18.9772,243.935,192.276,31.8826,63.4788,5.547644,9238.670838,1.46506927617991
-c21,572.966,129.571,87.353,510.748,185.039,114.322,31.422697,331.516,220.807,405.855,92.5426,67.4597,709.5,155.327,109.967,873.476,157.738,111.071,15.711348,151.781,104.976,504.488,63.3415,35.9187,7.855674,109.567,57.0866,785.077,108.787,56.7435,15.711348,108.421,56.8779,256.743,104.322,18.9772,5.906058,192.276,31.8826,63.4788,5.547644,7728.157869,1.75142550117301
-c22,572.966,129.571,87.353,510.748,185.039,114.322,31.422697,331.516,220.807,405.855,92.5426,67.4597,709.5,155.327,109.967,873.476,157.738,111.071,11.801625,151.781,104.976,504.488,63.3415,35.9187,372.978,109.567,57.0866,785.077,108.787,56.7435,15.711348,108.421,56.8779,256.743,104.322,18.9772,7.862657,192.276,31.8826,63.4788,25.29103,8111.070457,1.66874308993882
-c23,572.966,129.571,87.353,510.748,185.039,114.322,928.071,331.516,220.807,405.855,92.5426,67.4597,709.5,155.327,109.967,873.476,157.738,111.071,7.768049,151.781,104.976,504.488,63.3415,35.9187,7.855674,109.567,57.0866,785.077,108.787,56.7435,15.711348,108.421,56.8779,256.743,104.322,18.9772,7.862657,192.276,31.8826,63.4788,5.547644,8618.819472,1.57043465534099
-c24,572.966,129.571,87.353,510.748,185.039,114.322,928.071,331.516,220.807,405.855,92.5426,67.4597,709.5,155.327,109.967,873.476,157.738,111.071,15.711348,151.781,104.976,504.488,63.3415,35.9187,372.978,109.567,57.0866,785.077,108.787,56.7435,623.585,108.421,56.8779,256.743,104.322,18.9772,7.862657,192.276,31.8826,63.4788,25.29103,9619.502135,1.40706791404992
-c25,572.966,129.571,87.353,510.748,185.039,114.322,928.071,331.516,220.807,405.855,92.5426,67.4597,709.5,155.327,109.967,873.476,157.738,111.071,15.711348,151.781,104.976,504.488,63.3415,35.9187,372.978,109.567,57.0866,785.077,108.787,56.7435,11.801625,108.421,56.8779,256.743,104.322,18.9772,243.935,192.276,31.8826,63.4788,25.29103,9243.791103,1.46425775385398
-c26,572.966,129.571,87.353,510.748,185.039,114.322,928.071,331.516,220.807,405.855,92.5426,67.4597,709.5,155.327,109.967,873.476,157.738,111.071,1042.87,151.781,104.976,504.488,63.3415,35.9187,372.978,109.567,57.0866,785.077,108.787,56.7435,623.585,108.421,56.8779,256.743,104.322,18.9772,7.862657,192.276,31.8826,63.4788,25.29103,10646.660787,1.27131812383798
-c27,572.966,129.571,87.353,510.748,185.039,114.322,928.071,331.516,220.807,405.855,92.5426,67.4597,709.5,155.327,109.967,873.476,157.738,111.071,15.711348,151.781,104.976,504.488,63.3415,35.9187,372.978,109.567,57.0866,785.077,108.787,56.7435,11.801625,108.421,56.8779,256.743,104.322,18.9772,3.887477,192.276,31.8826,63.4788,5.547644,8984.000194,1.50659978863086
-c28,572.966,129.571,87.353,510.748,185.039,114.322,928.071,331.516,220.807,405.855,92.5426,67.4597,709.5,155.327,109.967,873.476,157.738,111.071,15.711348,151.781,104.976,504.488,63.3415,35.9187,372.978,109.567,57.0866,785.077,108.787,56.7435,15.711348,108.421,56.8779,256.743,104.322,18.9772,243.935,192.276,31.8826,63.4788,5.547644,9227.95744,1.4667701802191
-c29,572.966,129.571,87.353,510.748,185.039,114.322,928.071,331.516,220.807,405.855,92.5426,67.4597,709.5,155.327,109.967,873.476,157.738,111.071,7.768049,151.781,104.976,504.488,63.3415,35.9187,372.978,109.567,57.0866,785.077,108.787,56.7435,623.585,108.421,56.8779,256.743,104.322,18.9772,7.862657,192.276,31.8826,63.4788,5.547644,9591.81545,1.41112940229548
-c1,7728.157869
-
-Compute Time
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,166.211,52.3819,38.6469,138.263,52.1919,38.1309,261.935,97.7271,68.9954,92.893,23.3196,17.6047,116.17,46.1234,34.6677,197.299,46.2495,34.6984,292.058,45.663,34.4299,103.885,15.8328,8.79131,198.587,31.2316,17.2031,162.139,31.2579,17.184,233.12,31.2863,17.1913,53.1921,25.9908,4.43176,119.521,51.9366,8.7572,26.725,2.837158,3056.760228,0.999999967285626
-c1,166.211,44.0763,27.7776,138.263,46.5303,27.6531,16.261248,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,8.303616,40.4994,26.741,103.885,15.2944,7.99054,4.151808,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,2.837158,1922.094426,1.59032773188388
-c2,166.211,44.0763,27.7776,138.263,46.5303,27.6531,16.261248,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,8.303616,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,6.340453,2019.082613,1.51393511930881
-c3,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,8.303616,40.4994,26.741,103.885,15.2944,7.99054,4.151808,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,2.837158,2149.756178,1.42191012966541
-c4,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,8.303616,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,166.111,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,6.340453,2404.551749,1.27123905823501
-c5,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,8.303616,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,63.1947,49.3667,6.98942,15.6197,6.340453,2305.325945,1.32595570792677
-c6,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,4.151808,27.6042,13.5937,162.139,27.6361,13.5283,166.111,27.6455,13.524,53.1921,26.0905,3.6779,63.1947,49.3667,6.98942,15.6197,2.837158,2639.079526,1.1582675254983
-c7,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,166.111,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,6.340453,2677.486133,1.14165301405679
-c8,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,8.303616,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,2.837158,2243.24107,1.36265340921859
-c9,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,8.303616,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,63.1947,49.3667,6.98942,15.6197,2.837158,2301.82265,1.32797376687671
-c10,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,8.303616,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,166.111,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,2.837158,2401.048454,1.27309388346505
-c11,166.211,44.0763,27.7776,138.263,46.5303,27.6531,16.261248,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,8.303616,40.4994,26.741,103.885,15.2944,7.99054,4.151808,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,2.837158,1922.094426,1.59032773188388
-c12,166.211,44.0763,27.7776,138.263,46.5303,27.6531,16.261248,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,8.303616,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,6.340453,2019.082613,1.51393511930881
-c13,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,8.303616,40.4994,26.741,103.885,15.2944,7.99054,4.151808,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,2.837158,2149.756178,1.42191012966541
-c14,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,8.303616,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,166.111,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,6.340453,2404.551749,1.27123905823501
-c15,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,8.303616,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,63.1947,49.3667,6.98942,15.6197,6.340453,2305.325945,1.32595570792677
-c16,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,166.111,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,6.340453,2677.486133,1.14165301405679
-c17,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,8.303616,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,166.111,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,2.837158,2401.048454,1.27309388346505
-c18,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,8.303616,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,2.837158,2243.24107,1.36265340921859
-c19,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,8.303616,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,63.1947,49.3667,6.98942,15.6197,2.837158,2301.82265,1.32797376687671
-c20,166.211,44.0763,27.7776,138.263,46.5303,27.6531,16.261248,86.2346,54.8624,92.893,22.5995,15.858,8.303616,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,198.587,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,63.1947,49.3667,6.98942,15.6197,2.837158,2270.151198,1.34650066305845
-c21,166.211,44.0763,27.7776,138.263,46.5303,27.6531,16.261248,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,8.303616,40.4994,26.741,103.885,15.2944,7.99054,4.151808,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,2.837158,1922.094426,1.59032773188388
-c22,166.211,44.0763,27.7776,138.263,46.5303,27.6531,16.261248,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,8.303616,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,6.340453,2019.082613,1.51393511930881
-c23,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,8.303616,40.4994,26.741,103.885,15.2944,7.99054,4.151808,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,2.837158,2149.756178,1.42191012966541
-c24,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,8.303616,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,166.111,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,6.340453,2404.551749,1.27123905823501
-c25,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,8.303616,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,63.1947,49.3667,6.98942,15.6197,6.340453,2305.325945,1.32595570792677
-c26,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,166.111,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,6.340453,2677.486133,1.14165301405679
-c27,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,8.303616,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,2.837158,2243.24107,1.36265340921859
-c28,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,8.303616,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,63.1947,49.3667,6.98942,15.6197,2.837158,2301.82265,1.32797376687671
-c29,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,8.303616,40.4994,26.741,103.885,15.2944,7.99054,97.6367,27.6042,13.5937,162.139,27.6361,13.5283,166.111,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,2.837158,2401.048454,1.27309388346505
-c1,1922.094426
-
-Energy
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,572.966,184.509,138.685,510.748,198.623,146.196,1046.81,410.676,295.687,405.855,99.5467,73.891,524.623,211.449,159.137,873.476,219.41,164.603,1372.91,218.702,165.077,504.488,71.2665,37.2098,954.913,148.915,79.6361,785.077,146.853,77.9379,1118.97,148.577,78.6669,256.743,121.755,15.0166,577.914,250.554,36.6268,125.046,5.547644,13535.292944,0.999999992611907
-c1,572.966,281.424,87.353,651.192,404.181,114.322,152.598914,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,91.934874,151.781,104.976,536.2213,121.4188,35.9187,38.09458,109.567,57.0866,852.5958,379.656,56.7435,60.851377,108.421,56.8779,270.3063,138.7565,18.9772,24.49524,192.276,31.8826,63.4788,5.6044758,9902.2150608,1.36689545967273
-c2,572.966,281.424,87.353,651.192,404.181,114.322,152.598914,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,88.025151,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,60.851377,108.421,56.8779,270.3063,138.7565,18.9772,26.451839,192.276,31.8826,63.4788,25.29103,10254.831911,1.31989416593867
-c3,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,83.991575,151.781,104.976,536.2213,121.4188,35.9187,38.09458,109.567,57.0866,852.5958,379.656,56.7435,60.851377,108.421,56.8779,270.3063,138.7565,18.9772,26.451839,192.276,31.8826,63.4788,5.6044758,10671.7004468,1.26833515283173
-c4,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,91.934874,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,623.585,108.421,56.8779,270.3063,138.7565,18.9772,26.451839,192.276,31.8826,63.4788,25.29103,11596.947343,1.16714273394159
-c5,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,91.934874,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,56.941654,108.421,56.8779,270.3063,138.7565,18.9772,243.935,192.276,31.8826,63.4788,25.29103,11247.787158,1.20337383998555
-c6,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,38.09458,109.567,57.0866,852.5958,379.656,56.7435,623.585,108.421,56.8779,270.3063,138.7565,18.9772,243.935,192.276,31.8826,63.4788,5.6044758,12410.7956558,1.09060637289712
-c7,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,623.585,108.421,56.8779,270.3063,138.7565,18.9772,26.451839,192.276,31.8826,63.4788,25.29103,12547.882469,1.07869139431058
-c8,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,91.934874,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,56.941654,108.421,56.8779,270.3063,138.7565,18.9772,22.476659,192.276,31.8826,63.4788,5.6044758,11006.6422628,1.22973859764412
-c9,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,91.934874,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,60.851377,108.421,56.8779,270.3063,138.7565,18.9772,243.935,192.276,31.8826,63.4788,5.6044758,11232.0103268,1.2050641363103
-c10,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,83.991575,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,623.585,108.421,56.8779,270.3063,138.7565,18.9772,26.451839,192.276,31.8826,63.4788,5.6044758,11569.3174898,1.16993010511988
-c11,572.966,281.424,87.353,651.192,404.181,114.322,152.598914,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,91.934874,151.781,104.976,536.2213,121.4188,35.9187,38.09458,109.567,57.0866,852.5958,379.656,56.7435,60.851377,108.421,56.8779,270.3063,138.7565,18.9772,24.49524,192.276,31.8826,63.4788,5.6044758,9902.2150608,1.36689545967273
-c12,572.966,281.424,87.353,651.192,404.181,114.322,152.598914,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,88.025151,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,60.851377,108.421,56.8779,270.3063,138.7565,18.9772,26.451839,192.276,31.8826,63.4788,25.29103,10254.831911,1.31989416593867
-c13,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,83.991575,151.781,104.976,536.2213,121.4188,35.9187,38.09458,109.567,57.0866,852.5958,379.656,56.7435,60.851377,108.421,56.8779,270.3063,138.7565,18.9772,26.451839,192.276,31.8826,63.4788,5.6044758,10671.7004468,1.26833515283173
-c14,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,91.934874,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,623.585,108.421,56.8779,270.3063,138.7565,18.9772,26.451839,192.276,31.8826,63.4788,25.29103,11596.947343,1.16714273394159
-c15,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,91.934874,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,56.941654,108.421,56.8779,270.3063,138.7565,18.9772,243.935,192.276,31.8826,63.4788,25.29103,11247.787158,1.20337383998555
-c16,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,623.585,108.421,56.8779,270.3063,138.7565,18.9772,26.451839,192.276,31.8826,63.4788,25.29103,12547.882469,1.07869139431058
-c17,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,83.991575,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,623.585,108.421,56.8779,270.3063,138.7565,18.9772,26.451839,192.276,31.8826,63.4788,5.6044758,11569.3174898,1.16993010511988
-c18,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,91.934874,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,56.941654,108.421,56.8779,270.3063,138.7565,18.9772,22.476659,192.276,31.8826,63.4788,5.6044758,11006.6422628,1.22973859764412
-c19,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,91.934874,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,60.851377,108.421,56.8779,270.3063,138.7565,18.9772,243.935,192.276,31.8826,63.4788,5.6044758,11232.0103268,1.2050641363103
-c20,572.966,281.424,87.353,651.192,404.181,114.322,152.598914,331.516,220.807,475.2483,216.7906,67.4597,76.301921,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,1021.9148,364.726,57.0866,852.5958,379.656,56.7435,52.908078,108.421,56.8779,270.3063,138.7565,18.9772,243.935,192.276,31.8826,63.4788,5.6044758,11670.4277888,1.1597940600781
-c21,572.966,281.424,87.353,651.192,404.181,114.322,152.598914,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,91.934874,151.781,104.976,536.2213,121.4188,35.9187,38.09458,109.567,57.0866,852.5958,379.656,56.7435,60.851377,108.421,56.8779,270.3063,138.7565,18.9772,24.49524,192.276,31.8826,63.4788,5.6044758,9902.2150608,1.36689545967273
-c22,572.966,281.424,87.353,651.192,404.181,114.322,152.598914,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,88.025151,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,60.851377,108.421,56.8779,270.3063,138.7565,18.9772,26.451839,192.276,31.8826,63.4788,25.29103,10254.831911,1.31989416593867
-c23,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,83.991575,151.781,104.976,536.2213,121.4188,35.9187,38.09458,109.567,57.0866,852.5958,379.656,56.7435,60.851377,108.421,56.8779,270.3063,138.7565,18.9772,26.451839,192.276,31.8826,63.4788,5.6044758,10671.7004468,1.26833515283173
-c24,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,91.934874,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,623.585,108.421,56.8779,270.3063,138.7565,18.9772,26.451839,192.276,31.8826,63.4788,25.29103,11596.947343,1.16714273394159
-c25,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,91.934874,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,56.941654,108.421,56.8779,270.3063,138.7565,18.9772,243.935,192.276,31.8826,63.4788,25.29103,11247.787158,1.20337383998555
-c26,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,623.585,108.421,56.8779,270.3063,138.7565,18.9772,26.451839,192.276,31.8826,63.4788,25.29103,12547.882469,1.07869139431058
-c27,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,91.934874,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,56.941654,108.421,56.8779,270.3063,138.7565,18.9772,22.476659,192.276,31.8826,63.4788,5.6044758,11006.6422628,1.22973859764412
-c28,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,91.934874,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,60.851377,108.421,56.8779,270.3063,138.7565,18.9772,243.935,192.276,31.8826,63.4788,5.6044758,11232.0103268,1.2050641363103
-c29,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,83.991575,151.781,104.976,536.2213,121.4188,35.9187,372.978,109.567,57.0866,852.5958,379.656,56.7435,623.585,108.421,56.8779,270.3063,138.7565,18.9772,26.451839,192.276,31.8826,63.4788,5.6044758,11569.3174898,1.16993010511988
-c1,9902.2150608
-
-Leakage Energy
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,50.323486,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,12.490088,0,0,0,0,0,21.344501,0,0,0,0,0,9.633508,0,0,0,0,122.707169,0
-c2,0,0,0,0,0,0,50.323486,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,9.633508,0,0,0,0,110.217081,0
-c3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,12.490088,0,0,0,0,0,21.344501,0,0,0,0,0,9.633508,0,0,0,0,72.383683,0
-c4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.633508,0,0,0,0,38.549094,0
-c5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,0,0,0,0,0,50.260087,0
-c6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,12.490088,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,12.490088,0
-c7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.633508,0,0,0,0,9.633508,0
-c8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,9.633508,0,0,0,0,59.893595,0
-c9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,0,0,0,0,0,50.260087,0
-c10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.633508,0,0,0,0,38.549094,0
-c11,0,0,0,0,0,0,50.323486,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,12.490088,0,0,0,0,0,21.344501,0,0,0,0,0,9.633508,0,0,0,0,122.707169,0
-c12,0,0,0,0,0,0,50.323486,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,9.633508,0,0,0,0,110.217081,0
-c13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,12.490088,0,0,0,0,0,21.344501,0,0,0,0,0,9.633508,0,0,0,0,72.383683,0
-c14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.633508,0,0,0,0,38.549094,0
-c15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,0,0,0,0,0,50.260087,0
-c16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.633508,0,0,0,0,9.633508,0
-c17,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.633508,0,0,0,0,38.549094,0
-c18,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,9.633508,0,0,0,0,59.893595,0
-c19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,0,0,0,0,0,50.260087,0
-c20,0,0,0,0,0,0,50.323486,0,0,0,0,0,25.140123,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,0,0,0,0,0,96.80811,0
-c21,0,0,0,0,0,0,50.323486,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,12.490088,0,0,0,0,0,21.344501,0,0,0,0,0,9.633508,0,0,0,0,122.707169,0
-c22,0,0,0,0,0,0,50.323486,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,9.633508,0,0,0,0,110.217081,0
-c23,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,12.490088,0,0,0,0,0,21.344501,0,0,0,0,0,9.633508,0,0,0,0,72.383683,0
-c24,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.633508,0,0,0,0,38.549094,0
-c25,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,0,0,0,0,0,50.260087,0
-c26,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.633508,0,0,0,0,9.633508,0
-c27,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,9.633508,0,0,0,0,59.893595,0
-c28,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,0,0,0,0,0,50.260087,0
-c29,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.633508,0,0,0,0,38.549094,0
-c0,0
-
-Memory Energy
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,70.852731,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,17.748818,0,0,0,0,0,23.795528,0,0,0,0,0,8.955674,0,0,0,0,168.660691,0
-c2,0,0,0,0,0,0,70.852731,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,0,0,0,0,0,0,23.795528,0,0,0,0,0,8.955674,0,0,0,0,150.911873,0
-c3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,17.748818,0,0,0,0,0,23.795528,0,0,0,0,0,8.955674,0,0,0,0,97.80796,0
-c4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8.955674,0,0,0,0,56.263614,0
-c5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,0,0,0,0,0,0,23.795528,0,0,0,0,0,0,0,0,0,0,71.103468,0
-c6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,17.748818,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,17.748818,0
-c7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8.955674,0,0,0,0,8.955674,0
-c8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,0,0,0,0,0,0,23.795528,0,0,0,0,0,8.955674,0,0,0,0,80.059142,0
-c9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,0,0,0,0,0,0,23.795528,0,0,0,0,0,0,0,0,0,0,71.103468,0
-c10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8.955674,0,0,0,0,56.263614,0
-c11,0,0,0,0,0,0,70.852731,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,17.748818,0,0,0,0,0,23.795528,0,0,0,0,0,8.955674,0,0,0,0,168.660691,0
-c12,0,0,0,0,0,0,70.852731,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,0,0,0,0,0,0,23.795528,0,0,0,0,0,8.955674,0,0,0,0,150.911873,0
-c13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,17.748818,0,0,0,0,0,23.795528,0,0,0,0,0,8.955674,0,0,0,0,97.80796,0
-c14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8.955674,0,0,0,0,56.263614,0
-c15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,0,0,0,0,0,0,23.795528,0,0,0,0,0,0,0,0,0,0,71.103468,0
-c16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8.955674,0,0,0,0,8.955674,0
-c17,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8.955674,0,0,0,0,56.263614,0
-c18,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,0,0,0,0,0,0,23.795528,0,0,0,0,0,8.955674,0,0,0,0,80.059142,0
-c19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,0,0,0,0,0,0,23.795528,0,0,0,0,0,0,0,0,0,0,71.103468,0
-c20,0,0,0,0,0,0,70.852731,0,0,0,0,0,35.450450,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,23.795528,0,0,0,0,0,0,0,0,0,0,130.098709,0
-c21,0,0,0,0,0,0,70.852731,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,17.748818,0,0,0,0,0,23.795528,0,0,0,0,0,8.955674,0,0,0,0,168.660691,0
-c22,0,0,0,0,0,0,70.852731,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,0,0,0,0,0,0,23.795528,0,0,0,0,0,8.955674,0,0,0,0,150.911873,0
-c23,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,17.748818,0,0,0,0,0,23.795528,0,0,0,0,0,8.955674,0,0,0,0,97.80796,0
-c24,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8.955674,0,0,0,0,56.263614,0
-c25,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,0,0,0,0,0,0,23.795528,0,0,0,0,0,0,0,0,0,0,71.103468,0
-c26,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8.955674,0,0,0,0,8.955674,0
-c27,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,0,0,0,0,0,0,23.795528,0,0,0,0,0,8.955674,0,0,0,0,80.059142,0
-c28,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,0,0,0,0,0,0,23.795528,0,0,0,0,0,0,0,0,0,0,71.103468,0
-c29,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8.955674,0,0,0,0,56.263614,0
-c0,0
-
-Memory Time
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,16.574126,0,0,0,0,0,0,0,0,0,0,0,10.775261,0,0,0,0,0,4.157930,0,0,0,0,0,5.877922,0,0,0,0,0,2.377545,0,0,0,0,39.762784,0
-c2,0,0,0,0,0,0,16.574126,0,0,0,0,0,0,0,0,0,0,0,10.775261,0,0,0,0,0,0,0,0,0,0,0,5.877922,0,0,0,0,0,2.377545,0,0,0,0,35.604854,0
-c3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10.775261,0,0,0,0,0,4.157930,0,0,0,0,0,5.877922,0,0,0,0,0,2.377545,0,0,0,0,23.188658,0
-c4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10.775261,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.377545,0,0,0,0,13.152806,0
-c5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10.775261,0,0,0,0,0,0,0,0,0,0,0,5.877922,0,0,0,0,0,0,0,0,0,0,16.653183,0
-c6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4.157930,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4.15793,0
-c7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.377545,0,0,0,0,2.377545,0
-c8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10.775261,0,0,0,0,0,0,0,0,0,0,0,5.877922,0,0,0,0,0,2.377545,0,0,0,0,19.030728,0
-c9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10.775261,0,0,0,0,0,0,0,0,0,0,0,5.877922,0,0,0,0,0,0,0,0,0,0,16.653183,0
-c10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10.775261,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.377545,0,0,0,0,13.152806,0
-c11,0,0,0,0,0,0,16.574126,0,0,0,0,0,0,0,0,0,0,0,10.775261,0,0,0,0,0,4.157930,0,0,0,0,0,5.877922,0,0,0,0,0,2.377545,0,0,0,0,39.762784,0
-c12,0,0,0,0,0,0,16.574126,0,0,0,0,0,0,0,0,0,0,0,10.775261,0,0,0,0,0,0,0,0,0,0,0,5.877922,0,0,0,0,0,2.377545,0,0,0,0,35.604854,0
-c13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10.775261,0,0,0,0,0,4.157930,0,0,0,0,0,5.877922,0,0,0,0,0,2.377545,0,0,0,0,23.188658,0
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-c15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10.775261,0,0,0,0,0,0,0,0,0,0,0,5.877922,0,0,0,0,0,0,0,0,0,0,16.653183,0
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-Patch Energy
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-Quantization Energy
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-c24,0,151.853,0,140.444,219.142,0,0,0,0,69.3933,124.248,0,0,0,0,141.551,559.805,0,0,0,0,31.7333,58.0773,0,0,0,0,67.5188,270.869,0,0,0,0,13.5633,34.4345,0,0,0,0,0,0,1882.6325,0
-c25,0,151.853,0,140.444,219.142,0,0,0,0,69.3933,124.248,0,0,0,0,141.551,559.805,0,0,0,0,31.7333,58.0773,0,0,0,0,67.5188,270.869,0,0,0,0,13.5633,34.4345,0,0,0,0,0,0,1882.6325,0
-c26,0,151.853,0,140.444,219.142,0,0,0,0,69.3933,124.248,0,0,0,0,141.551,559.805,0,0,0,0,31.7333,58.0773,0,0,0,0,67.5188,270.869,0,0,0,0,13.5633,34.4345,0,0,0,0,0,0,1882.6325,0
-c27,0,151.853,0,140.444,219.142,0,0,0,0,69.3933,124.248,0,0,0,0,141.551,559.805,0,0,0,0,31.7333,58.0773,0,0,0,0,67.5188,270.869,0,0,0,0,13.5633,34.4345,0,0,0,0,0,0.0568318,1882.6893318,0
-c28,0,151.853,0,140.444,219.142,0,0,0,0,69.3933,124.248,0,0,0,0,141.551,559.805,0,0,0,0,31.7333,58.0773,0,0,0,0,67.5188,270.869,0,0,0,0,13.5633,34.4345,0,0,0,0,0,0.0568318,1882.6893318,0
-c29,0,151.853,0,140.444,219.142,0,0,0,0,69.3933,124.248,0,0,0,0,141.551,559.805,0,0,0,0,31.7333,58.0773,0,0,0,0,67.5188,270.869,0,0,0,0,13.5633,34.4345,0,0,0,0,0,0.0568318,1882.6893318,0
-c0,0
-
-Quantization Time
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,56.5113,0,38.0284,59.1021,0,0,0,0,19.2796,34.054,0,0,0,0,37.842,149.921,0,0,0,0,9.74596,16.9199,0,0,0,0,19.097,73.5493,0,0,0,0,4.99161,10.5834,0,0,0,0,0,0.303588,529.929158,0
-c2,0,56.5113,0,38.0284,59.1021,0,0,0,0,19.2796,34.054,0,0,0,0,37.842,149.921,0,0,0,0,9.74596,16.9199,0,0,0,0,19.097,73.5493,0,0,0,0,4.99161,10.5834,0,0,0,0,0,0,529.62557,0
-c3,0,56.5113,0,38.0284,59.1021,0,0,0,0,19.2796,34.054,0,0,0,0,37.842,149.921,0,0,0,0,9.74596,16.9199,0,0,0,0,19.097,73.5493,0,0,0,0,4.99161,10.5834,0,0,0,0,0,0.303588,529.929158,0
-c4,0,56.5113,0,38.0284,59.1021,0,0,0,0,19.2796,34.054,0,0,0,0,37.842,149.921,0,0,0,0,9.74596,16.9199,0,0,0,0,19.097,73.5493,0,0,0,0,4.99161,10.5834,0,0,0,0,0,0,529.62557,0
-c5,0,56.5113,0,38.0284,59.1021,0,0,0,0,19.2796,34.054,0,0,0,0,37.842,149.921,0,0,0,0,9.74596,16.9199,0,0,0,0,19.097,73.5493,0,0,0,0,4.99161,10.5834,0,0,0,0,0,0,529.62557,0
-c6,0,56.5113,0,38.0284,59.1021,0,0,0,0,19.2796,34.054,0,0,0,0,37.842,149.921,0,0,0,0,9.74596,16.9199,0,0,0,0,19.097,73.5493,0,0,0,0,4.99161,10.5834,0,0,0,0,0,0.303588,529.929158,0
-c7,0,56.5113,0,38.0284,59.1021,0,0,0,0,19.2796,34.054,0,0,0,0,37.842,149.921,0,0,0,0,9.74596,16.9199,0,0,0,0,19.097,73.5493,0,0,0,0,4.99161,10.5834,0,0,0,0,0,0,529.62557,0
-c8,0,56.5113,0,38.0284,59.1021,0,0,0,0,19.2796,34.054,0,0,0,0,37.842,149.921,0,0,0,0,9.74596,16.9199,0,0,0,0,19.097,73.5493,0,0,0,0,4.99161,10.5834,0,0,0,0,0,0.303588,529.929158,0
-c9,0,56.5113,0,38.0284,59.1021,0,0,0,0,19.2796,34.054,0,0,0,0,37.842,149.921,0,0,0,0,9.74596,16.9199,0,0,0,0,19.097,73.5493,0,0,0,0,4.99161,10.5834,0,0,0,0,0,0.303588,529.929158,0
-c10,0,56.5113,0,38.0284,59.1021,0,0,0,0,19.2796,34.054,0,0,0,0,37.842,149.921,0,0,0,0,9.74596,16.9199,0,0,0,0,19.097,73.5493,0,0,0,0,4.99161,10.5834,0,0,0,0,0,0.303588,529.929158,0
-c11,0,56.5113,0,38.0284,59.1021,0,0,0,0,19.2796,34.054,0,0,0,0,37.842,149.921,0,0,0,0,9.74596,16.9199,0,0,0,0,19.097,73.5493,0,0,0,0,4.99161,10.5834,0,0,0,0,0,0.303588,529.929158,0
-c12,0,56.5113,0,38.0284,59.1021,0,0,0,0,19.2796,34.054,0,0,0,0,37.842,149.921,0,0,0,0,9.74596,16.9199,0,0,0,0,19.097,73.5493,0,0,0,0,4.99161,10.5834,0,0,0,0,0,0,529.62557,0
-c13,0,56.5113,0,38.0284,59.1021,0,0,0,0,19.2796,34.054,0,0,0,0,37.842,149.921,0,0,0,0,9.74596,16.9199,0,0,0,0,19.097,73.5493,0,0,0,0,4.99161,10.5834,0,0,0,0,0,0.303588,529.929158,0
-c14,0,56.5113,0,38.0284,59.1021,0,0,0,0,19.2796,34.054,0,0,0,0,37.842,149.921,0,0,0,0,9.74596,16.9199,0,0,0,0,19.097,73.5493,0,0,0,0,4.99161,10.5834,0,0,0,0,0,0,529.62557,0
-c15,0,56.5113,0,38.0284,59.1021,0,0,0,0,19.2796,34.054,0,0,0,0,37.842,149.921,0,0,0,0,9.74596,16.9199,0,0,0,0,19.097,73.5493,0,0,0,0,4.99161,10.5834,0,0,0,0,0,0,529.62557,0
-c16,0,56.5113,0,38.0284,59.1021,0,0,0,0,19.2796,34.054,0,0,0,0,37.842,149.921,0,0,0,0,9.74596,16.9199,0,0,0,0,19.097,73.5493,0,0,0,0,4.99161,10.5834,0,0,0,0,0,0,529.62557,0
-c17,0,56.5113,0,38.0284,59.1021,0,0,0,0,19.2796,34.054,0,0,0,0,37.842,149.921,0,0,0,0,9.74596,16.9199,0,0,0,0,19.097,73.5493,0,0,0,0,4.99161,10.5834,0,0,0,0,0,0.303588,529.929158,0
-c18,0,56.5113,0,38.0284,59.1021,0,0,0,0,19.2796,34.054,0,0,0,0,37.842,149.921,0,0,0,0,9.74596,16.9199,0,0,0,0,19.097,73.5493,0,0,0,0,4.99161,10.5834,0,0,0,0,0,0.303588,529.929158,0
-c19,0,56.5113,0,38.0284,59.1021,0,0,0,0,19.2796,34.054,0,0,0,0,37.842,149.921,0,0,0,0,9.74596,16.9199,0,0,0,0,19.097,73.5493,0,0,0,0,4.99161,10.5834,0,0,0,0,0,0.303588,529.929158,0
-c20,0,56.5113,0,38.0284,59.1021,0,0,0,0,19.2796,34.054,0,0,0,0,37.842,149.921,0,0,0,0,9.74596,16.9199,0,18.9755,69.3636,0,19.097,73.5493,0,0,0,0,4.99161,10.5834,0,0,0,0,0,0.303588,618.268258,0
-c21,0,56.5113,0,38.0284,59.1021,0,0,0,0,19.2796,34.054,0,0,0,0,37.842,149.921,0,0,0,0,9.74596,16.9199,0,0,0,0,19.097,73.5493,0,0,0,0,4.99161,10.5834,0,0,0,0,0,0.303588,529.929158,0
-c22,0,56.5113,0,38.0284,59.1021,0,0,0,0,19.2796,34.054,0,0,0,0,37.842,149.921,0,0,0,0,9.74596,16.9199,0,0,0,0,19.097,73.5493,0,0,0,0,4.99161,10.5834,0,0,0,0,0,0,529.62557,0
-c23,0,56.5113,0,38.0284,59.1021,0,0,0,0,19.2796,34.054,0,0,0,0,37.842,149.921,0,0,0,0,9.74596,16.9199,0,0,0,0,19.097,73.5493,0,0,0,0,4.99161,10.5834,0,0,0,0,0,0.303588,529.929158,0
-c24,0,56.5113,0,38.0284,59.1021,0,0,0,0,19.2796,34.054,0,0,0,0,37.842,149.921,0,0,0,0,9.74596,16.9199,0,0,0,0,19.097,73.5493,0,0,0,0,4.99161,10.5834,0,0,0,0,0,0,529.62557,0
-c25,0,56.5113,0,38.0284,59.1021,0,0,0,0,19.2796,34.054,0,0,0,0,37.842,149.921,0,0,0,0,9.74596,16.9199,0,0,0,0,19.097,73.5493,0,0,0,0,4.99161,10.5834,0,0,0,0,0,0,529.62557,0
-c26,0,56.5113,0,38.0284,59.1021,0,0,0,0,19.2796,34.054,0,0,0,0,37.842,149.921,0,0,0,0,9.74596,16.9199,0,0,0,0,19.097,73.5493,0,0,0,0,4.99161,10.5834,0,0,0,0,0,0,529.62557,0
-c27,0,56.5113,0,38.0284,59.1021,0,0,0,0,19.2796,34.054,0,0,0,0,37.842,149.921,0,0,0,0,9.74596,16.9199,0,0,0,0,19.097,73.5493,0,0,0,0,4.99161,10.5834,0,0,0,0,0,0.303588,529.929158,0
-c28,0,56.5113,0,38.0284,59.1021,0,0,0,0,19.2796,34.054,0,0,0,0,37.842,149.921,0,0,0,0,9.74596,16.9199,0,0,0,0,19.097,73.5493,0,0,0,0,4.99161,10.5834,0,0,0,0,0,0.303588,529.929158,0
-c29,0,56.5113,0,38.0284,59.1021,0,0,0,0,19.2796,34.054,0,0,0,0,37.842,149.921,0,0,0,0,9.74596,16.9199,0,0,0,0,19.097,73.5493,0,0,0,0,4.99161,10.5834,0,0,0,0,0,0.303588,529.929158,0
-c0,0
-
-Time
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,166.211,52.3819,38.6469,138.263,52.1919,38.1309,261.935,97.7271,68.9954,92.893,23.3196,17.6047,116.17,46.1234,34.6677,197.299,46.2495,34.6984,292.058,45.663,34.4299,103.885,15.8328,8.79131,198.587,31.2316,17.2031,162.139,31.2579,17.184,233.12,31.2863,17.1913,53.1921,25.9908,4.43176,119.521,51.9366,8.7572,26.725,2.837158,3056.760228,0.999999967285626
-c1,166.211,100.5876,27.7776,176.2914,105.6324,27.6531,32.835374,86.2346,54.8624,112.1726,56.6535,15.858,186.198,40.5929,27.7158,235.141,190.4511,27.3118,19.078877,40.4994,26.741,113.63096,32.2143,7.99054,8.309738,27.6042,13.5937,181.236,101.1854,13.5283,14.181538,27.6455,13.524,58.18371,36.6739,3.6779,6.990665,49.3667,6.98942,15.6197,3.140746,2491.786368,1.22673442016622
-c2,166.211,100.5876,27.7776,176.2914,105.6324,27.6531,32.835374,86.2346,54.8624,112.1726,56.6535,15.858,186.198,40.5929,27.7158,235.141,190.4511,27.3118,19.078877,40.4994,26.741,113.63096,32.2143,7.99054,97.6367,27.6042,13.5937,181.236,101.1854,13.5283,14.181538,27.6455,13.524,58.18371,36.6739,3.6779,6.990665,49.3667,6.98942,15.6197,6.340453,2584.313037,1.18281340764627
-c3,166.211,100.5876,27.7776,176.2914,105.6324,27.6531,243.923,86.2346,54.8624,112.1726,56.6535,15.858,186.198,40.5929,27.7158,235.141,190.4511,27.3118,19.078877,40.4994,26.741,113.63096,32.2143,7.99054,8.309738,27.6042,13.5937,181.236,101.1854,13.5283,14.181538,27.6455,13.524,58.18371,36.6739,3.6779,6.990665,49.3667,6.98942,15.6197,3.140746,2702.873994,1.13092956671033
-c4,166.211,100.5876,27.7776,176.2914,105.6324,27.6531,243.923,86.2346,54.8624,112.1726,56.6535,15.858,186.198,40.5929,27.7158,235.141,190.4511,27.3118,19.078877,40.4994,26.741,113.63096,32.2143,7.99054,97.6367,27.6042,13.5937,181.236,101.1854,13.5283,166.111,27.6455,13.524,58.18371,36.6739,3.6779,6.990665,49.3667,6.98942,15.6197,6.340453,2947.330125,1.03712851789453
-c5,166.211,100.5876,27.7776,176.2914,105.6324,27.6531,243.923,86.2346,54.8624,112.1726,56.6535,15.858,186.198,40.5929,27.7158,235.141,190.4511,27.3118,19.078877,40.4994,26.741,113.63096,32.2143,7.99054,97.6367,27.6042,13.5937,181.236,101.1854,13.5283,14.181538,27.6455,13.524,58.18371,36.6739,3.6779,63.1947,49.3667,6.98942,15.6197,6.340453,2851.604698,1.07194385075516
-c6,166.211,100.5876,27.7776,176.2914,105.6324,27.6531,243.923,86.2346,54.8624,112.1726,56.6535,15.858,186.198,40.5929,27.7158,235.141,190.4511,27.3118,281.238,40.4994,26.741,113.63096,32.2143,7.99054,8.309738,27.6042,13.5937,181.236,101.1854,13.5283,166.111,27.6455,13.524,58.18371,36.6739,3.6779,63.1947,49.3667,6.98942,15.6197,3.140746,3173.166614,0.963315357656308
-c7,166.211,100.5876,27.7776,176.2914,105.6324,27.6531,243.923,86.2346,54.8624,112.1726,56.6535,15.858,186.198,40.5929,27.7158,235.141,190.4511,27.3118,281.238,40.4994,26.741,113.63096,32.2143,7.99054,97.6367,27.6042,13.5937,181.236,101.1854,13.5283,166.111,27.6455,13.524,58.18371,36.6739,3.6779,6.990665,49.3667,6.98942,15.6197,6.340453,3209.489248,0.95241326471603
-c8,166.211,100.5876,27.7776,176.2914,105.6324,27.6531,243.923,86.2346,54.8624,112.1726,56.6535,15.858,186.198,40.5929,27.7158,235.141,190.4511,27.3118,19.078877,40.4994,26.741,113.63096,32.2143,7.99054,97.6367,27.6042,13.5937,181.236,101.1854,13.5283,14.181538,27.6455,13.524,58.18371,36.6739,3.6779,6.990665,49.3667,6.98942,15.6197,3.140746,2792.200956,1.09474932739228
-c9,166.211,100.5876,27.7776,176.2914,105.6324,27.6531,243.923,86.2346,54.8624,112.1726,56.6535,15.858,186.198,40.5929,27.7158,235.141,190.4511,27.3118,19.078877,40.4994,26.741,113.63096,32.2143,7.99054,97.6367,27.6042,13.5937,181.236,101.1854,13.5283,14.181538,27.6455,13.524,58.18371,36.6739,3.6779,63.1947,49.3667,6.98942,15.6197,3.140746,2848.404991,1.07314800049274
-c10,166.211,100.5876,27.7776,176.2914,105.6324,27.6531,243.923,86.2346,54.8624,112.1726,56.6535,15.858,186.198,40.5929,27.7158,235.141,190.4511,27.3118,19.078877,40.4994,26.741,113.63096,32.2143,7.99054,97.6367,27.6042,13.5937,181.236,101.1854,13.5283,166.111,27.6455,13.524,58.18371,36.6739,3.6779,6.990665,49.3667,6.98942,15.6197,3.140746,2944.130418,1.03825567831025
-c11,166.211,100.5876,27.7776,176.2914,105.6324,27.6531,32.835374,86.2346,54.8624,112.1726,56.6535,15.858,186.198,40.5929,27.7158,235.141,190.4511,27.3118,19.078877,40.4994,26.741,113.63096,32.2143,7.99054,8.309738,27.6042,13.5937,181.236,101.1854,13.5283,14.181538,27.6455,13.524,58.18371,36.6739,3.6779,6.990665,49.3667,6.98942,15.6197,3.140746,2491.786368,1.22673442016622
-c12,166.211,100.5876,27.7776,176.2914,105.6324,27.6531,32.835374,86.2346,54.8624,112.1726,56.6535,15.858,186.198,40.5929,27.7158,235.141,190.4511,27.3118,19.078877,40.4994,26.741,113.63096,32.2143,7.99054,97.6367,27.6042,13.5937,181.236,101.1854,13.5283,14.181538,27.6455,13.524,58.18371,36.6739,3.6779,6.990665,49.3667,6.98942,15.6197,6.340453,2584.313037,1.18281340764627
-c13,166.211,100.5876,27.7776,176.2914,105.6324,27.6531,243.923,86.2346,54.8624,112.1726,56.6535,15.858,186.198,40.5929,27.7158,235.141,190.4511,27.3118,19.078877,40.4994,26.741,113.63096,32.2143,7.99054,8.309738,27.6042,13.5937,181.236,101.1854,13.5283,14.181538,27.6455,13.524,58.18371,36.6739,3.6779,6.990665,49.3667,6.98942,15.6197,3.140746,2702.873994,1.13092956671033
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-Unpatch Energy
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
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diff --git a/hpvm/projects/soc_simulator/mobilenet_shallow/HS_loss1.txt b/hpvm/projects/soc_simulator/mobilenet_shallow/HS_loss1.txt
deleted file mode 100644
index 4d905b811accaa167503d0c189e3bb475c3ad9e6..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/mobilenet_shallow/HS_loss1.txt
+++ /dev/null
@@ -1,64 +0,0 @@
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diff --git a/hpvm/projects/soc_simulator/mobilenet_shallow/HS_loss2.txt b/hpvm/projects/soc_simulator/mobilenet_shallow/HS_loss2.txt
deleted file mode 100644
index b8677344889c875db8f5485832c7c2dce383cff7..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/mobilenet_shallow/HS_loss2.txt
+++ /dev/null
@@ -1,76 +0,0 @@
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diff --git a/hpvm/projects/soc_simulator/mobilenet_shallow/HS_results_loss1.out b/hpvm/projects/soc_simulator/mobilenet_shallow/HS_results_loss1.out
deleted file mode 100644
index 4b0b840cee7d4daa6bac3bf282a7ff61dcde2cb1..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/mobilenet_shallow/HS_results_loss1.out
+++ /dev/null
@@ -1,748 +0,0 @@
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-c60,572.966,129.571,87.353,510.748,185.039,114.322,928.071,331.516,220.807,405.855,92.5426,67.4597,709.5,155.327,109.967,873.476,157.738,111.071,1042.87,151.781,104.976,504.488,63.3415,35.9187,3.884025,109.567,57.0866,785.077,108.787,56.7435,11.801625,108.421,56.8779,256.743,104.322,18.9772,3.887477,192.276,31.8826,63.4788,0.017407,9636.534634,1.40458093262968
-c61,507.609,129.571,87.353,510.748,185.039,114.322,928.071,331.516,220.807,405.855,92.5426,67.4597,709.5,155.327,109.967,873.476,157.738,111.071,1042.87,151.781,104.976,504.488,63.3415,35.9187,3.481319,109.567,57.0866,785.077,108.787,56.7435,11.801625,108.421,56.8779,256.743,104.322,18.9772,3.484413,192.276,31.8826,63.4788,0.039278,9570.393735,1.41428797783639
-c62,507.609,129.571,87.353,510.748,185.039,114.322,1046.81,331.516,220.807,405.855,92.5426,67.4597,709.5,155.327,109.967,873.476,157.738,111.071,1372.91,151.781,104.976,504.488,63.3415,35.9187,5.900812,109.567,57.0866,785.077,108.787,56.7435,11.801625,108.421,56.8779,256.743,104.322,18.9772,3.484413,192.276,31.8826,63.4788,0.019420,10021.57237,1.35061568277019
-c63,507.609,129.571,87.353,510.748,185.039,114.322,1046.81,331.516,220.807,405.855,92.5426,67.4597,524.623,155.327,109.967,873.476,157.738,111.071,1042.87,151.781,104.976,504.488,63.3415,35.9187,3.481319,109.567,57.0866,785.077,108.787,56.7435,11.801625,108.421,56.8779,256.743,104.322,18.9772,3.484413,192.276,31.8826,63.4788,5.547644,9509.764101,1.42330479052012
-c7,9385.492525
-
-Compute Time
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,166.211,52.3819,38.6469,138.263,52.1919,38.1309,261.935,97.7271,68.9954,92.893,23.3196,17.6047,116.17,46.1234,34.6677,197.299,46.2495,34.6984,292.058,45.663,34.4299,103.885,15.8328,8.79131,198.587,31.2316,17.2031,162.139,31.2579,17.184,233.12,31.2863,17.1913,53.1921,25.9908,4.43176,119.521,51.9366,8.7572,26.725,2.837158,3056.760228,0.999999967285626
-c1,166.211,44.0763,27.7776,138.263,46.5303,27.6531,261.935,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,4.151808,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,0.036040,2437.901444,1.25384892409749
-c2,191.843,44.0763,27.7776,138.263,46.5303,27.6531,261.935,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,292.058,40.4994,26.741,103.885,15.2944,7.99054,4.151808,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,0.036040,2474.353444,1.23537731114143
-c3,166.211,44.0763,27.7776,138.263,46.5303,27.6531,261.935,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,4.151808,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,0.036040,2437.901444,1.25384892409749
-c4,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,116.17,40.5929,27.7158,197.299,40.5301,27.3118,292.058,40.4994,26.741,103.885,15.2944,7.99054,4.151808,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,63.1947,49.3667,6.98942,15.6197,0.036040,2419.263024,1.26350879227472
-c5,191.843,44.0763,27.7776,138.263,46.5303,27.6531,261.935,86.2346,54.8624,92.893,22.5995,15.858,116.17,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,4.151808,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,0.036040,2393.505444,1.2771059735636
-c6,191.843,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,292.058,40.4994,26.741,103.885,15.2944,7.99054,4.151808,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,0.036040,2456.341444,1.24443615565865
-c7,191.843,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,116.17,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,4.151808,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,0.036040,2375.493444,1.286789532946
-c8,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,4.151808,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,0.036040,2419.889444,1.26318171652879
-c9,191.843,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,4.151808,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,0.036040,2445.521444,1.24994205653173
-c10,191.843,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,116.17,40.5929,27.7158,197.299,40.5301,27.3118,292.058,40.4994,26.741,103.885,15.2944,7.99054,4.151808,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,0.036040,2386.313444,1.28095498417873
-c11,191.843,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,4.151808,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,0.036040,2445.521444,1.24994205653173
-c12,191.843,44.0763,27.7776,138.263,46.5303,27.6531,261.935,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,4.151808,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,0.036040,2463.533444,1.24080316886483
-c13,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,116.17,40.5929,27.7158,197.299,40.5301,27.3118,292.058,40.4994,26.741,103.885,15.2944,7.99054,4.151808,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,0.036040,2360.681444,1.294863441352
-c14,166.211,44.0763,27.7776,138.263,46.5303,27.6531,261.935,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,292.058,40.4994,26.741,103.885,15.2944,7.99054,4.151808,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,0.036040,2448.721444,1.24830862679746
-c15,191.843,44.0763,27.7776,138.263,46.5303,27.6531,261.935,86.2346,54.8624,92.893,22.5995,15.858,116.17,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,4.151808,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,0.036040,2393.505444,1.2771059735636
-c16,166.211,44.0763,27.7776,138.263,46.5303,27.6531,261.935,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,4.151808,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,0.036040,2437.901444,1.25384892409749
-c17,166.211,44.0763,27.7776,138.263,46.5303,27.6531,261.935,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,4.151808,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,0.036040,2437.901444,1.25384892409749
-c18,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,4.151808,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,0.036040,2419.889444,1.26318171652879
-c19,166.211,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,4.151808,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,0.036040,2419.889444,1.26318171652879
-c20,191.843,44.0763,27.7776,138.263,46.5303,27.6531,261.935,86.2346,54.8624,92.893,22.5995,15.858,116.17,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,4.151808,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,0.036040,2393.505444,1.2771059735636
-c21,166.211,44.0763,27.7776,138.263,46.5303,27.6531,261.935,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,4.151808,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,0.036040,2437.901444,1.25384892409749
-c22,191.843,44.0763,27.7776,138.263,46.5303,27.6531,261.935,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,4.151808,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,0.036040,2463.533444,1.24080316886483
-c23,191.843,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,4.151808,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,0.036040,2445.521444,1.24994205653173
-c24,191.843,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,116.17,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,4.151808,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,0.036040,2375.493444,1.286789532946
-c25,191.843,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,4.151808,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,0.036040,2445.521444,1.24994205653173
-c26,166.211,44.0763,27.7776,138.263,46.5303,27.6531,261.935,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,292.058,40.4994,26.741,103.885,15.2944,7.99054,4.151808,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,0.036040,2448.721444,1.24830862679746
-c27,191.843,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,292.058,40.4994,26.741,103.885,15.2944,7.99054,4.151808,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,0.036040,2456.341444,1.24443615565865
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-c29,191.843,44.0763,27.7776,138.263,46.5303,27.6531,243.923,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,4.151808,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,0.036040,2445.521444,1.24994205653173
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-c62,191.843,44.0763,27.7776,138.263,46.5303,27.6531,261.935,86.2346,54.8624,92.893,22.5995,15.858,186.198,40.5929,27.7158,197.299,40.5301,27.3118,292.058,40.4994,26.741,103.885,15.2944,7.99054,4.151808,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,0.036040,2474.353444,1.23537731114143
-c63,191.843,44.0763,27.7776,138.263,46.5303,27.6531,261.935,86.2346,54.8624,92.893,22.5995,15.858,116.17,40.5929,27.7158,197.299,40.5301,27.3118,281.238,40.4994,26.741,103.885,15.2944,7.99054,4.151808,27.6042,13.5937,162.139,27.6361,13.5283,8.303616,27.6455,13.524,53.1921,26.0905,3.6779,4.613120,49.3667,6.98942,15.6197,2.837158,2396.306562,1.27561312434393
-c13,2360.681444
-
-Energy
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,572.966,184.509,138.685,510.748,198.623,146.196,1046.81,410.676,295.687,405.855,99.5467,73.891,524.623,211.449,159.137,873.476,219.41,164.603,1372.91,218.702,165.077,504.488,71.2665,37.2098,954.913,148.915,79.6361,785.077,146.853,77.9379,1118.97,148.577,78.6669,256.743,121.755,15.0166,577.914,250.554,36.6268,125.046,5.547644,13535.292944,0.999999992611907
-c1,572.966,281.424,87.353,651.192,404.181,114.322,1336.459,1267.11,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,34.122931,109.567,57.0866,852.5958,379.656,56.7435,56.941654,108.421,56.8779,270.3063,138.7565,18.9772,21.175063,192.276,31.8826,63.4788,1.016415,12956.814663,1.04464663511683
-c2,523.5897,129.571,87.353,651.192,404.181,114.322,1336.459,1267.11,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1507.228,683.9,104.976,536.2213,121.4188,35.9187,36.139718,109.567,57.0866,852.5958,379.656,56.7435,56.941654,108.421,56.8779,270.3063,138.7565,18.9772,21.175063,192.276,31.8826,63.4788,1.016415,13754.07915,0.984092987831228
-c3,572.966,281.424,87.353,651.192,404.181,114.322,1336.459,1267.11,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,36.139718,109.567,57.0866,852.5958,379.656,56.7435,52.908078,108.421,56.8779,270.3063,138.7565,18.9772,22.073595,192.276,31.8826,63.4788,1.016415,12955.696406,1.04473680266681
-c4,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,662.986,676.028,109.967,1015.027,717.543,111.071,1507.228,683.9,104.976,536.2213,121.4188,35.9187,33.720225,109.567,57.0866,852.5958,379.656,56.7435,50.307198,108.421,56.8779,270.3063,138.7565,18.9772,243.935,192.276,31.8826,63.4788,1.016415,13299.219438,1.01775092179849
-c5,523.5897,129.571,87.353,651.192,404.181,114.322,1336.459,1267.11,220.807,475.2483,216.7906,67.4597,662.986,676.028,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,32.822491,109.567,57.0866,852.5958,379.656,56.7435,60.851377,108.421,56.8779,270.3063,138.7565,18.9772,24.49524,192.276,31.8826,63.4788,1.016415,13235.701823,1.02263506860028
-c6,523.5897,129.571,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1507.228,683.9,104.976,536.2213,121.4188,35.9187,36.139718,109.567,57.0866,852.5958,379.656,56.7435,60.851377,108.421,56.8779,270.3063,138.7565,18.9772,21.175063,192.276,31.8826,63.4788,1.020904,12414.011362,1.0903238639204
-c7,523.5897,129.571,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,662.986,676.028,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,36.139718,109.567,57.0866,852.5958,379.656,56.7435,52.102666,108.421,56.8779,270.3063,138.7565,18.9772,24.49524,192.276,31.8826,63.4788,1.016415,11886.288339,1.13873165820118
-c8,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,36.139718,109.567,57.0866,852.5958,379.656,56.7435,52.102666,108.421,56.8779,270.3063,138.7565,18.9772,22.073595,192.276,31.8826,63.4788,1.016415,11610.908994,1.16573929176609
-c9,523.5897,129.571,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,32.822491,109.567,57.0866,852.5958,379.656,56.7435,50.307198,108.421,56.8779,270.3063,138.7565,18.9772,22.073595,192.276,31.8826,63.4788,1.042775,11404.593359,1.18682818398218
-c10,523.5897,129.571,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,662.986,676.028,109.967,1015.027,717.543,111.071,1507.228,683.9,104.976,536.2213,121.4188,35.9187,33.720225,109.567,57.0866,852.5958,379.656,56.7435,60.851377,108.421,56.8779,270.3063,138.7565,18.9772,22.476659,192.276,31.8826,63.4788,1.016415,12887.075976,1.05029976265968
-c11,523.5897,129.571,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,33.720225,109.567,57.0866,852.5958,379.656,56.7435,50.307198,108.421,56.8779,270.3063,138.7565,18.9772,22.073595,192.276,31.8826,63.4788,1.042775,11405.491093,1.1867347679254
-c12,523.5897,129.571,87.353,651.192,404.181,114.322,1336.459,1267.11,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,33.720225,109.567,57.0866,852.5958,379.656,56.7435,56.941654,108.421,56.8779,270.3063,138.7565,18.9772,24.49524,192.276,31.8826,63.4788,1.016415,12758.502834,1.06088410325399
-c13,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,662.986,676.028,109.967,1015.027,717.543,111.071,1507.228,683.9,104.976,536.2213,121.4188,35.9187,33.720225,109.567,57.0866,852.5958,379.656,56.7435,60.851377,108.421,56.8779,270.3063,138.7565,18.9772,22.476659,192.276,31.8826,63.4788,1.016415,13088.305276,1.03415167626052
-c14,572.966,281.424,87.353,651.192,404.181,114.322,1336.459,1267.11,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1507.228,683.9,104.976,536.2213,121.4188,35.9187,32.822491,109.567,57.0866,852.5958,379.656,56.7435,60.851377,108.421,56.8779,270.3063,138.7565,18.9772,22.073595,192.276,31.8826,63.4788,1.020904,13956.803967,0.969798879386962
-c15,523.5897,129.571,87.353,651.192,404.181,114.322,1336.459,1267.11,220.807,475.2483,216.7906,67.4597,662.986,676.028,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,32.822491,109.567,57.0866,852.5958,379.656,56.7435,56.941654,108.421,56.8779,270.3063,138.7565,18.9772,24.49524,192.276,31.8826,63.4788,1.016415,13231.7921,1.0229372362725
-c16,572.966,281.424,87.353,651.192,404.181,114.322,1336.459,1267.11,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,34.122931,109.567,57.0866,852.5958,379.656,56.7435,50.307198,108.421,56.8779,270.3063,138.7565,18.9772,22.476659,192.276,31.8826,63.4788,1.016415,12951.481803,1.04507677541245
-c17,572.966,281.424,87.353,651.192,404.181,114.322,1336.459,1267.11,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,38.09458,109.567,57.0866,852.5958,379.656,56.7435,56.941654,108.421,56.8779,270.3063,138.7565,18.9772,22.073595,192.276,31.8826,63.4788,1.016415,12961.684844,1.04425412301551
-c18,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,32.822491,109.567,57.0866,852.5958,379.656,56.7435,56.941654,108.421,56.8779,270.3063,138.7565,18.9772,22.073595,192.276,31.8826,63.4788,1.042775,11612.457115,1.16558388060334
-c19,572.966,281.424,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,36.139718,109.567,57.0866,852.5958,379.656,56.7435,56.941654,108.421,56.8779,270.3063,138.7565,18.9772,22.073595,192.276,31.8826,63.4788,1.016415,11615.747982,1.16525365808979
-c20,523.5897,129.571,87.353,651.192,404.181,114.322,1336.459,1267.11,220.807,475.2483,216.7906,67.4597,662.986,676.028,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,38.09458,109.567,57.0866,852.5958,379.656,56.7435,50.307198,108.421,56.8779,270.3063,138.7565,18.9772,22.073595,192.276,31.8826,63.4788,1.042775,13228.034448,1.02322781928676
-c21,572.966,281.424,87.353,651.192,404.181,114.322,1336.459,1267.11,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,34.122931,109.567,57.0866,852.5958,379.656,56.7435,50.307198,108.421,56.8779,270.3063,138.7565,18.9772,22.476659,192.276,31.8826,63.4788,1.020904,12951.486292,1.04507641318765
-c22,523.5897,129.571,87.353,651.192,404.181,114.322,1336.459,1267.11,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,34.122931,109.567,57.0866,852.5958,379.656,56.7435,56.941654,108.421,56.8779,270.3063,138.7565,18.9772,22.073595,192.276,31.8826,63.4788,1.016415,12756.483895,1.06105200690921
-c23,523.5897,129.571,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,36.139718,109.567,57.0866,852.5958,379.656,56.7435,56.941654,108.421,56.8779,270.3063,138.7565,18.9772,22.073595,192.276,31.8826,63.4788,1.016415,11414.518682,1.18579619539847
-c24,523.5897,129.571,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,662.986,676.028,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,36.139718,109.567,57.0866,852.5958,379.656,56.7435,56.941654,108.421,56.8779,270.3063,138.7565,18.9772,22.073595,192.276,31.8826,63.4788,1.016415,11888.705682,1.1385001187003
-c25,523.5897,129.571,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,33.720225,109.567,57.0866,852.5958,379.656,56.7435,56.941654,108.421,56.8779,270.3063,138.7565,18.9772,21.175063,192.276,31.8826,63.4788,1.042775,11411.227017,1.18613824834278
-c26,572.966,281.424,87.353,651.192,404.181,114.322,1336.459,1267.11,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1507.228,683.9,104.976,536.2213,121.4188,35.9187,33.720225,109.567,57.0866,852.5958,379.656,56.7435,52.102666,108.421,56.8779,270.3063,138.7565,18.9772,21.175063,192.276,31.8826,63.4788,1.033001,13948.066555,0.970406385256839
-c27,523.5897,129.571,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1507.228,683.9,104.976,536.2213,121.4188,35.9187,32.822491,109.567,57.0866,852.5958,379.656,56.7435,56.941654,108.421,56.8779,270.3063,138.7565,18.9772,24.49524,192.276,31.8826,63.4788,1.033001,12410.116686,1.09066604105364
-c28,523.5897,129.571,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,32.822491,109.567,57.0866,852.5958,379.656,56.7435,60.851377,108.421,56.8779,270.3063,138.7565,18.9772,22.073595,192.276,31.8826,63.4788,1.042775,11415.137538,1.1857319090873
-c29,523.5897,129.571,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,34.122931,109.567,57.0866,852.5958,379.656,56.7435,56.941654,108.421,56.8779,270.3063,138.7565,18.9772,22.073595,192.276,31.8826,63.4788,1.020904,11412.506384,1.1860052796444
-c30,523.5897,129.571,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,32.822491,109.567,57.0866,852.5958,379.656,56.7435,56.941654,108.421,56.8779,270.3063,138.7565,18.9772,22.073595,192.276,31.8826,63.4788,1.042775,11411.227815,1.1861381653948
-c31,523.5897,129.571,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,32.822491,109.567,57.0866,852.5958,379.656,56.7435,52.102666,108.421,56.8779,270.3063,138.7565,18.9772,22.073595,192.276,31.8826,63.4788,1.042775,11406.388827,1.18664136657314
-c32,523.5897,129.571,87.353,651.192,404.181,114.322,1336.459,1267.11,220.807,475.2483,216.7906,67.4597,662.986,676.028,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,36.139718,109.567,57.0866,852.5958,379.656,56.7435,52.102666,108.421,56.8779,270.3063,138.7565,18.9772,24.49524,192.276,31.8826,63.4788,1.016415,13230.270339,1.02305489569592
-c33,523.5897,129.571,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,36.139718,109.567,57.0866,852.5958,379.656,56.7435,56.941654,108.421,56.8779,270.3063,138.7565,18.9772,22.073595,192.276,31.8826,63.4788,1.020904,11414.523171,1.18579572905932
-c34,523.5897,129.571,87.353,651.192,404.181,114.322,928.071,331.516,220.807,475.2483,216.7906,67.4597,709.5,155.327,109.967,1015.027,717.543,111.071,1042.87,151.781,104.976,536.2213,121.4188,35.9187,36.139718,109.567,57.0866,852.5958,379.656,56.7435,52.908078,108.421,56.8779,270.3063,138.7565,18.9772,21.175063,192.276,31.8826,63.4788,1.042775,11409.612934,1.18630604768677
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-c9,11404.593359
-
-Leakage Energy
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
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-Memory Energy
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
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-Memory Time
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
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-Patch Energy
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-Quantization Energy
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
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-c0,0
-
-Quantization Time
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
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-c0,0
-
-Time
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
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-c9,2938.745424
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-Unpatch Energy
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
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diff --git a/hpvm/projects/soc_simulator/mobilenet_shallow/confs/HA_loss1.txt b/hpvm/projects/soc_simulator/mobilenet_shallow/confs/HA_loss1.txt
deleted file mode 100644
index 6e5e15bc0bd2bc835293154ef3c5911662a51062..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/mobilenet_shallow/confs/HA_loss1.txt
+++ /dev/null
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diff --git a/hpvm/projects/soc_simulator/mobilenet_shallow/confs/HA_loss2.txt b/hpvm/projects/soc_simulator/mobilenet_shallow/confs/HA_loss2.txt
deleted file mode 100644
index 36bb418742d308ee60d0d997a3a436ca8410870a..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/mobilenet_shallow/confs/HA_loss2.txt
+++ /dev/null
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diff --git a/hpvm/projects/soc_simulator/mobilenet_shallow/confs/HS_loss1.txt b/hpvm/projects/soc_simulator/mobilenet_shallow/confs/HS_loss1.txt
deleted file mode 100644
index 474eb6a9cc983edec9a18cc27a2ed3875d992bc7..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/mobilenet_shallow/confs/HS_loss1.txt
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diff --git a/hpvm/projects/soc_simulator/mobilenet_shallow/confs/HS_loss2.txt b/hpvm/projects/soc_simulator/mobilenet_shallow/confs/HS_loss2.txt
deleted file mode 100644
index 574b3850329006a5bd6a1d0b4cb56e72521363ff..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/mobilenet_shallow/confs/HS_loss2.txt
+++ /dev/null
@@ -1,75 +0,0 @@
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-8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,7,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,6
-8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,6,8,8,8,8,8,8,8,8,8,8,8,4,8,8,8,7
-8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,7,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,6
-8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,3,8,8,8,8,8,4,8,8,8,8,8,3,8,8,8,8 8
-8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,6,8,8,8,8,8,3,8,8,8,8,8,3,8,8,8,3
-8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,4,8,8,8,8,8,3,8,8,8,8,8,3,8,8,8,3
-8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,3,8,8,8,8,8,4,8,8,8,8,8,3,8,8,8,6
-8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,7,8,8,8,8,8,4,8,8,8,8,8,3,8,8,8,3
-8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,5,8,8,8,8,8,3,8,8,8,8,8,3,8,8,8,6
-8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,6,8,8,8,8,8,3,8,8,8,8,8,6,8,8,8,3
-8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,7,8,8,8,8,8,4,8,8,8,8,8,3,8,8,8,3
-8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,7,8,8,8,8,8,4,8,8,8,8,8,3,8,8,8,4
-8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,6,8,8,8,8,8,7,8,8,8,8,8,3,8,8,8,3
-8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,4,8,8,8,8,8,4,8,8,8,8,8,3,8,8,8,6
-8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,7,8,8,8,8,8,3,8,8,8,8,8,3,8,8,8,7
-8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,7,8,8,8,8,8,3,8,8,8,8,8,3,8,8,8,5
-8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,7,8,8,8,8,8,4,8,8,8,8,8,3,8,8,8,4
-8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,7,8,8,8,8,8,3,8,8,8,8,8,3,8,8,8,6
-8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,5,8,8,8,8,8,6,8,8,8,8,8,3,8,8,8,6
-8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,7,8,8,8,8,8,4,8,8,8,8,8,3,8,8,8,6
diff --git a/hpvm/projects/soc_simulator/mobilenet_shallow/info/mobilenet_shallow_layers.txt b/hpvm/projects/soc_simulator/mobilenet_shallow/info/mobilenet_shallow_layers.txt
deleted file mode 100644
index 4ab1093cab28b2f3dfa284a4669c6a2885ff667d..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/mobilenet_shallow/info/mobilenet_shallow_layers.txt
+++ /dev/null
@@ -1,41 +0,0 @@
-Conv1,4500,3,32,32,32,3,3,3,1,1
-NML1
-NML2
-NML3
-NML4
-NML5
-Conv3,4500,32,32,32,64,32,1,1,1,1
-NML6
-NML7
-NML8
-NML9
-NML10
-Conv5,4500,64,16,16,128,64,1,1,1,1
-NML11
-NML12
-NML13
-NML14
-NML15
-Conv7,4500,128,16,16,128,128,1,1,1,1
-NML16
-NML17
-NML18
-NML19
-NML20
-Conv9,4500,128,8,8,256,128,1,1,1,1
-NML21
-NML22
-NML23
-NML24
-NML25
-Conv11,4500,256,8,8,256,256,1,1,1,1
-NML26
-NML27
-NML28
-NML29
-NML30
-Conv13,4500,256,4,4,512,256,1,1,1,1
-NML31
-NML32
-NML33
-FC1,4500,1024,1024,10
diff --git a/hpvm/projects/soc_simulator/mobilenet_shallow/info/mobilenet_shallow_tensors.txt b/hpvm/projects/soc_simulator/mobilenet_shallow/info/mobilenet_shallow_tensors.txt
deleted file mode 100644
index 76a5b9f8f5db9a4e924d492d32bf213977b9fe84..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/mobilenet_shallow/info/mobilenet_shallow_tensors.txt
+++ /dev/null
@@ -1,83 +0,0 @@
-#Conv1,1
-Conv1,165.401,567.689,190.845,489.961,7.45501,15.3385,38.3605,99.4665
-#NML1,1
-BatchNorm1,52.2864,184.046,44.208,126.823,57.7603,152.189,37.5847,103.341
-#NML2,1
-Relu1,38.6453,138.524,27.6261,85.2148,53.911,151.346,37.5139,107.477
-#NML3,1
-Conv2,137.297,505.587,146.888,454.401,57.2503,165.991,37.8788,118.31
-#NML4,1
-BatchNorm2,52.1549,197.914,46.4921,157.667,58.2651,183.446,38.5037,124.791
-#NML5,1
-Relu2,38.1169,146.069,27.6025,98.9958,53.3869,174.312,37.5912,124.95
-#Conv3,1
-Conv3,258.954,1032.03,243.635,792.454,56.4655,189.556,75.237,260.038
-#NML6,1
-BatchNorm3,97.6062,409.331,86.3211,303.765,250.71,842.032,74.8439,261.343
-#NML7,1
-Relu3,68.9786,295.295,54.9261,205.544,110.52,385.151,74.8142,272.084
-#NML8,1
-Conv4,99.7425,435.587,87.5137,315.332,233.217,831.941,19.1707,65.0227
-#NML9,1
-BatchNorm4,23.3301,99.2457,22.6355,87.6934,34.3529,118.103,20.3281,69.1027
-#NML10,1
-Relu4,17.5398,73.9864,15.9996,64.6513,31.5324,110.256,20.234,70.3149
-#Conv5,1
-Conv5,118.361,532.734,185.585,673.394,31.7649,112.807,37.938,132.277
-#NML11,1
-BatchNorm5,46.095,210.096,40.6227,149.173,142.468,500.126,37.5912,130.645
-#NML12,1
-Relu5,34.7036,158.225,27.7104,106.31,53.5821,188.448,37.6388,132.982
-#NML13,1
-Conv6,211.862,941.502,323.448,1119.27,115.938,414.557,37.786,129.099
-#NML14,1
-BatchNorm6,46.239,219.088,40.6142,145.624,149.523,514.012,37.5237,127.816
-#NML15,1
-Relu6,34.7264,164.507,27.2599,102.738,48.5245,167.544,37.4762,130.429
-#Conv7,1
-Conv7,292.43,1371.64,282.611,981.699,64.6579,227.877,37.7122,126.901
-#NML16,1
-BatchNorm7,45.4864,217.634,40.5067,143.829,148.787,503.668,37.3823,125.643
-#NML17,1
-Relu7,34.3235,164.29,26.7374,100.069,46.8449,159.109,37.4335,128.935
-#NML18,1
-Conv8,107.339,520.234,39.6826,147.475,64.2402,223.151,9.65537,29.9378
-#NML19,1
-BatchNorm8,15.8015,71.2826,15.3482,60.7097,16.8328,55.515,10.2509,31.976
-#NML20,1
-Relu8,8.79447,36.7775,7.99351,34.5499,15.1718,49.6238,10.0626,31.6603
-#Conv9,1
-Conv9,199.034,954.881,98.1388,359.856,15.2921,50.2916,18.9832,64.2926
-#NML21,1
-BatchNorm9,31.138,148.359,27.6217,104.698,70.2457,248.698,18.8196,63.4597
-#NML22,1
-Relu9,17.2023,79.3874,13.5987,54.9348,24.3837,83.7626,18.7985,64.38
-#NML23,1
-Conv10,164.266,793.877,160.813,577.662,59.6641,211.628,18.9793,63.4051
-#NML24,1
-BatchNorm10,31.2193,145.953,27.6333,103.328,74.0125,258.461,18.8411,62.7266
-#NML25,1
-Relu10,17.2051,77.3085,13.5078,53.7829,24.1874,81.846,18.7678,63.1334
-#Conv11,1
-Conv11,233.349,1117.62,166.85,596.404,35.2647,122.36,18.9644,63.7352
-#NML26,1
-BatchNorm11,31.252,148.499,27.646,103.913,74.0691,259.032,18.7909,62.9738
-#NML27,1
-Relu11,17.1975,78.9983,13.5936,54.7397,24.3747,82.9966,18.8176,63.5157
-#NML28,1
-Conv12,54.8812,263.615,24.574,94.3137,35.5476,124.286,4.91026,13.2274
-#NML29,1
-BatchNorm12,25.9899,121.522,26.0654,100.201,10.5018,32.8201,4.89614,13.1409
-#NML30,1
-Relu12,4.36155,14.8101,3.67647,18.1925,7.42945,22.2844,4.76369,12.6395
-#Conv13,1
-Conv13,119.767,577.124,63.594,236.007,8.73277,27.0192,9.60037,30.5066
-#NML31,1
-BatchNorm13,51.9324,249.047,49.3767,184.971,35.341,123.97,9.4716,29.8925
-#NML32,1
-Relu13,8.7646,36.7714,6.99017,30.535,13.4667,44.1842,9.50975,29.6265
-#NML33,1
-Pool1,26.8288,124.626,15.5609,61.4365,33.2992,116.519,2.61816,4.58362
-#FC1,2
-Mul1,2.40501,4.96909,5.46799,21.0966,6.83807,19.3828,0.310624,0.0619082
-Add1,0.43324,0.179815,0.940664,3.68353,1.92657,2.71477,0.208831,0.0318638
diff --git a/hpvm/projects/soc_simulator/mobilenet_shallow/mobilenet_shallow_layers.txt b/hpvm/projects/soc_simulator/mobilenet_shallow/mobilenet_shallow_layers.txt
deleted file mode 100644
index ba85aa142542d34722b19b9a16314100ecdd62da..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/mobilenet_shallow/mobilenet_shallow_layers.txt
+++ /dev/null
@@ -1,41 +0,0 @@
-Conv1,2000,3,32,32,32,3,3,3,1,1
-NML1
-NML2
-NML3
-NML4
-NML5
-Conv3,2000,32,32,32,64,32,1,1,1,1
-NML6
-NML7
-NML8
-NML9
-NML10
-Conv5,2000,64,16,16,128,64,1,1,1,1
-NML11
-NML12
-NML13
-NML14
-NML15
-Conv7,2000,128,16,16,128,128,1,1,1,1
-NML16
-NML17
-NML18
-NML19
-NML20
-Conv9,2000,128,8,8,256,128,1,1,1,1
-NML21
-NML22
-NML23
-NML24
-NML25
-Conv11,2000,256,8,8,256,256,1,1,1,1
-NML26
-NML27
-NML28
-NML29
-NML30
-Conv13,2000,256,4,4,512,256,1,1,1,1
-NML31
-NML32
-NML33
-FC1,2000,1024,1024,10
diff --git a/hpvm/projects/soc_simulator/mobilenet_shallow/mobilenet_shallow_tensors.txt b/hpvm/projects/soc_simulator/mobilenet_shallow/mobilenet_shallow_tensors.txt
deleted file mode 100644
index 80f75053287bfc0751dccd29ae41a62138b59419..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/mobilenet_shallow/mobilenet_shallow_tensors.txt
+++ /dev/null
@@ -1,83 +0,0 @@
-#Conv1,1
-Conv1,166.211,572.966,191.843,507.609,7.53633,15.9807,38.0736,101.279
-#NML1,1
-BatchNorm1,52.3819,184.509,44.0763,129.571,56.5113,151.853,37.5819,105.16
-#NML2,1
-Relu1,38.6469,138.685,27.7776,87.353,55.2939,157.83,37.5253,110.145
-#NML3,1
-Conv2,138.263,510.748,3084.84,10928.7,59.002,175.657,38.0284,140.444
-#NML4,1
-BatchNorm2,52.1919,198.623,46.5303,185.039,59.1021,219.142,38.507,144.452
-#NML5,1
-Relu2,38.1309,146.196,27.6531,114.322,54.9847,208.258,37.5913,143.1
-#Conv3,1
-Conv3,261.935,1046.81,243.923,928.071,56.2446,214.924,75.228,289.649
-#NML6,1
-BatchNorm3,97.7271,410.676,86.2346,331.516,251.444,935.594,74.8545,283.758
-#NML7,1
-Relu3,68.9954,295.687,54.8624,220.807,110.125,417.751,74.8592,291.745
-#NML8,1
-Conv4,92.893,405.855,1583.56,6051.66,231.224,880.293,19.2796,69.3933
-#NML9,1
-BatchNorm4,23.3196,99.5467,22.5995,92.5426,34.054,124.248,20.2424,73.0214
-#NML10,1
-Relu4,17.6047,73.891,15.858,67.4597,30.9943,114.518,20.2169,73.2485
-#Conv5,1
-Conv5,116.17,524.623,186.198,709.5,31.8313,117.965,37.9227,138.363
-#NML11,1
-BatchNorm5,46.1234,211.449,40.5929,155.327,142.01,520.701,37.5993,135.493
-#NML12,1
-Relu5,34.6677,159.137,27.7158,109.967,53.3662,195.421,37.6391,138.68
-#NML13,1
-Conv6,197.299,873.476,3302.47,12220,115.346,427.277,37.842,141.551
-#NML14,1
-BatchNorm6,46.2495,219.41,40.5301,157.738,149.921,559.805,37.4612,137.044
-#NML15,1
-Relu6,34.6984,164.603,27.3118,111.071,48.6817,179.964,37.5311,140.008
-#Conv7,1
-Conv7,292.058,1372.91,281.238,1042.87,64.7019,243.41,37.6677,134.318
-#NML16,1
-BatchNorm7,45.663,218.702,40.4994,151.781,148.426,532.119,37.3944,132.668
-#NML17,1
-Relu7,34.4299,165.077,26.741,104.976,46.7743,167.757,37.3853,135.277
-#NML18,1
-Conv8,103.885,504.488,794.673,2993.53,64.3356,233.98,9.74596,31.7333
-#NML19,1
-BatchNorm8,15.8328,71.2665,15.2944,63.3415,16.9199,58.0773,10.2545,33.5749
-#NML20,1
-Relu8,8.79131,37.2098,7.99054,35.9187,15.5217,53.4902,10.0192,32.9858
-#Conv9,1
-Conv9,198.587,954.913,97.6367,372.978,15.3789,53.2605,18.9755,67.0018
-#NML21,1
-BatchNorm9,31.2316,148.915,27.6042,109.567,69.3636,255.159,18.8095,66.0347
-#NML22,1
-Relu9,17.2031,79.6361,13.5937,57.0866,24.73,88.498,18.8081,66.8284
-#NML23,1
-Conv10,162.139,785.077,1672.38,6225.71,59.6133,219.941,19.097,67.5188
-#NML24,1
-BatchNorm10,31.2579,146.853,27.6361,108.787,73.5493,270.869,18.7658,66.0488
-#NML25,1
-Relu10,17.184,77.9379,13.5283,56.7435,24.4533,86.8627,18.8086,66.1414
-#Conv11,1
-Conv11,233.12,1118.97,166.111,623.585,35.1905,128.418,18.9605,66.8737
-#NML26,1
-BatchNorm11,31.2863,148.577,27.6455,108.421,73.8267,270.154,18.8306,66.0084
-#NML27,1
-Relu11,17.1913,78.6669,13.524,56.8779,24.5173,87.138,18.7795,66.7656
-#NML28,1
-Conv12,53.1921,256.743,396.977,1509.34,35.3114,127.967,4.99161,13.5633
-#NML29,1
-BatchNorm12,25.9908,121.755,26.0905,104.322,10.5834,34.4345,4.90361,13.3056
-#NML30,1
-Relu12,4.43176,15.0166,3.6779,18.9772,7.84663,24.5065,4.76517,12.9712
-#Conv13,1
-Conv13,119.521,577.914,63.1947,243.935,8.92772,28.6239,9.58326,31.2502
-#NML31,1
-BatchNorm13,51.9366,250.554,49.3667,192.276,35.0054,127.493,9.47022,30.7329
-#NML32,1
-Relu13,8.7572,36.6268,6.98942,31.8826,13.5881,46.2214,9.4503,31.2116
-#NML33,1
-Pool1,26.725,125.046,15.6197,63.4788,33.2369,120.141,2.60648,5.14839
-#FC1,2
-Mul1,2.40563,5.37123,5.40178,21.3448,6.87904,20.2727,0.303588,0.0568318
-Add1,0.431528,0.176414,0.938673,3.94623,2.02678,2.85623,0.208607,0.0415936
diff --git a/hpvm/projects/soc_simulator/mobilenet_shallow/result_test_conf.out b/hpvm/projects/soc_simulator/mobilenet_shallow/result_test_conf.out
deleted file mode 100644
index 7907f1be58e22b0ac7dd4873471aac1b5205bf31..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/mobilenet_shallow/result_test_conf.out
+++ /dev/null
@@ -1,66 +0,0 @@
-Compute Energy
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,572.966,184.509,138.685,510.748,198.623,146.196,1046.81,410.676,295.687,405.855,99.5467,73.891,524.623,211.449,159.137,873.476,219.41,164.603,1372.91,218.702,165.077,504.488,71.2665,37.2098,954.913,148.915,79.6361,785.077,146.853,77.9379,1118.97,148.577,78.6669,256.743,121.755,15.0166,577.914,250.554,36.6268,125.046,5.547644,13535.292944,0.999999992611907
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-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
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-Unpatch Energy
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diff --git a/hpvm/projects/soc_simulator/mobilenet_shallow/results/HA_loss1_results.txt b/hpvm/projects/soc_simulator/mobilenet_shallow/results/HA_loss1_results.txt
deleted file mode 100644
index d1d1c5e872107045ebcbe8e4f248ddb20d584f2a..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/mobilenet_shallow/results/HA_loss1_results.txt
+++ /dev/null
@@ -1,319 +0,0 @@
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-c11,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,15.711348,103.913,54.7397,94.3137,100.201,18.1925,7.862657,184.971,30.535,61.4365,24.78013,8898.261135,1.5318567802196
-c12,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,7.862657,184.971,30.535,61.4365,24.78013,9478.953787,1.43801330479033
-c13,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,7.862657,184.971,30.535,61.4365,24.78013,9478.953787,1.43801330479033
-c14,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,15.711348,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,24.78013,9126.405478,1.49356301213025
-c15,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,15.711348,103.913,54.7397,94.3137,100.201,18.1925,7.862657,184.971,30.535,61.4365,24.78013,8898.261135,1.5318567802196
-c16,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,24.78013,9707.09813,1.40421591314215
-c17,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,15.711348,103.913,54.7397,94.3137,100.201,18.1925,7.862657,184.971,30.535,61.4365,24.78013,8898.261135,1.5318567802196
-c18,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,15.711348,103.913,54.7397,94.3137,100.201,18.1925,7.862657,184.971,30.535,61.4365,24.78013,8898.261135,1.5318567802196
-c19,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,7.862657,184.971,30.535,61.4365,24.78013,9478.953787,1.43801330479033
-c20,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,15.711348,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,24.78013,9126.405478,1.49356301213025
-c21,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,7.862657,184.971,30.535,61.4365,24.78013,9478.953787,1.43801330479033
-c22,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,15.711348,103.913,54.7397,94.3137,100.201,18.1925,7.862657,184.971,30.535,61.4365,24.78013,8898.261135,1.5318567802196
-c23,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,7.862657,184.971,30.535,61.4365,24.78013,9478.953787,1.43801330479033
-
-c1,8898.261135
-
-Compute Time
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,165.401,52.2864,38.6453,137.297,52.1549,38.1169,258.954,97.6062,68.9786,99.7425,23.3301,17.5398,118.361,46.095,34.7036,211.862,46.239,34.7264,292.43,45.4864,34.3235,107.339,15.8015,8.79447,199.034,31.138,17.2023,164.266,31.2193,17.2051,233.349,31.252,17.1975,54.8812,25.9899,4.36155,119.767,51.9324,8.7646,26.8288,2.83825,3083.44147,0.999999967568706
-c1,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2580.93424,1.1946996954599
-c2,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2580.93424,1.1946996954599
-c3,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2739.480624,1.12555691412122
-c4,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2739.480624,1.12555691412122
-c5,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,63.594,49.3767,6.99017,15.5609,6.408654,2639.91512,1.16800776276444
-c6,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2580.93424,1.1946996954599
-c7,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2739.480624,1.12555691412122
-c8,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,63.594,49.3767,6.99017,15.5609,6.408654,2798.461504,1.10183447419563
-c9,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2739.480624,1.12555691412122
-c10,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2580.93424,1.1946996954599
-c11,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2580.93424,1.1946996954599
-c12,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2739.480624,1.12555691412122
-c13,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2739.480624,1.12555691412122
-c14,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,63.594,49.3767,6.99017,15.5609,6.408654,2639.91512,1.16800776276444
-c15,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2580.93424,1.1946996954599
-c16,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,63.594,49.3767,6.99017,15.5609,6.408654,2798.461504,1.10183447419563
-c17,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2580.93424,1.1946996954599
-c18,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2580.93424,1.1946996954599
-c19,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2739.480624,1.12555691412122
-c20,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,63.594,49.3767,6.99017,15.5609,6.408654,2639.91512,1.16800776276444
-c21,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2739.480624,1.12555691412122
-c22,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2580.93424,1.1946996954599
-c23,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2739.480624,1.12555691412122
-
-c1,2580.93424
-
-Energy
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,567.689,184.046,138.524,505.587,197.914,146.069,1032.03,409.331,295.295,435.587,99.2457,73.9864,532.734,210.096,158.225,941.502,219.088,164.507,1371.64,217.634,164.29,520.234,71.2826,36.7775,954.881,148.359,79.3874,793.877,145.953,77.3085,1117.62,148.499,78.9983,263.615,121.522,14.8101,577.124,249.047,36.7714,124.626,5.148905,13630.861805,0.999999992663707
-c1,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,60.851377,103.913,54.7397,94.3137,100.201,18.1925,26.451839,184.971,30.535,61.4365,24.78013,8977.328846,1.51836497102776
-c2,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,60.851377,103.913,54.7397,94.3137,100.201,18.1925,26.451839,184.971,30.535,61.4365,24.78013,8977.328846,1.51836497102776
-c3,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,26.451839,184.971,30.535,61.4365,24.78013,9512.881469,1.43288463186795
-c4,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,26.451839,184.971,30.535,61.4365,24.78013,9512.881469,1.43288463186795
-c5,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,60.851377,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,24.78013,9186.884007,1.48373068020025
-c6,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,60.851377,103.913,54.7397,94.3137,100.201,18.1925,26.451839,184.971,30.535,61.4365,24.78013,8977.328846,1.51836497102776
-c7,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,26.451839,184.971,30.535,61.4365,24.78013,9512.881469,1.43288463186795
-c8,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,24.78013,9722.43663,1.40200056668304
-c9,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,26.451839,184.971,30.535,61.4365,24.78013,9512.881469,1.43288463186795
-c10,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,60.851377,103.913,54.7397,94.3137,100.201,18.1925,26.451839,184.971,30.535,61.4365,24.78013,8977.328846,1.51836497102776
-c11,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,60.851377,103.913,54.7397,94.3137,100.201,18.1925,26.451839,184.971,30.535,61.4365,24.78013,8977.328846,1.51836497102776
-c12,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,26.451839,184.971,30.535,61.4365,24.78013,9512.881469,1.43288463186795
-c13,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,26.451839,184.971,30.535,61.4365,24.78013,9512.881469,1.43288463186795
-c14,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,60.851377,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,24.78013,9186.884007,1.48373068020025
-c15,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,60.851377,103.913,54.7397,94.3137,100.201,18.1925,26.451839,184.971,30.535,61.4365,24.78013,8977.328846,1.51836497102776
-c16,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,24.78013,9722.43663,1.40200056668304
-c17,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,60.851377,103.913,54.7397,94.3137,100.201,18.1925,26.451839,184.971,30.535,61.4365,24.78013,8977.328846,1.51836497102776
-c18,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,60.851377,103.913,54.7397,94.3137,100.201,18.1925,26.451839,184.971,30.535,61.4365,24.78013,8977.328846,1.51836497102776
-c19,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,26.451839,184.971,30.535,61.4365,24.78013,9512.881469,1.43288463186795
-c20,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,60.851377,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,24.78013,9186.884007,1.48373068020025
-c21,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,26.451839,184.971,30.535,61.4365,24.78013,9512.881469,1.43288463186795
-c22,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,60.851377,103.913,54.7397,94.3137,100.201,18.1925,26.451839,184.971,30.535,61.4365,24.78013,8977.328846,1.51836497102776
-c23,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,26.451839,184.971,30.535,61.4365,24.78013,9512.881469,1.43288463186795
-
-c1,8977.328846
-
-Leakage Energy
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,9.633508,0,0,0,0,30.978009,0
-c2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,9.633508,0,0,0,0,30.978009,0
-c3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.633508,0,0,0,0,9.633508,0
-c4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.633508,0,0,0,0,9.633508,0
-c5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,0,0,0,0,0,21.344501,0
-c6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,9.633508,0,0,0,0,30.978009,0
-c7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.633508,0,0,0,0,9.633508,0
-c8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.633508,0,0,0,0,9.633508,0
-c10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,9.633508,0,0,0,0,30.978009,0
-c11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,9.633508,0,0,0,0,30.978009,0
-c12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.633508,0,0,0,0,9.633508,0
-c13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.633508,0,0,0,0,9.633508,0
-c14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,0,0,0,0,0,21.344501,0
-c15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,9.633508,0,0,0,0,30.978009,0
-c16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c17,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,9.633508,0,0,0,0,30.978009,0
-c18,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,9.633508,0,0,0,0,30.978009,0
-c19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.633508,0,0,0,0,9.633508,0
-c20,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,0,0,0,0,0,21.344501,0
-c21,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.633508,0,0,0,0,9.633508,0
-c22,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,9.633508,0,0,0,0,30.978009,0
-c23,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.633508,0,0,0,0,9.633508,0
-
-c0,0
-
-Memory Energy
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,23.795528,0,0,0,0,0,8.955674,0,0,0,0,32.751202,0
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-c0,0
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-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
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-c6,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c7,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c8,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c9,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c10,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c11,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c12,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c13,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c14,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c15,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c16,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c17,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c18,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c19,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c20,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c21,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c22,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c23,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-
-c0,0
-
-Quantization Time
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c2,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c3,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c4,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c5,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c6,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c7,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c8,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c9,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c10,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c11,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c12,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c13,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c14,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c15,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c16,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c17,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c18,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c19,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c20,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c21,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c22,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c23,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-
-c0,0
-
-Time
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,165.401,52.2864,38.6453,137.297,52.1549,38.1169,258.954,97.6062,68.9786,99.7425,23.3301,17.5398,118.361,46.095,34.7036,211.862,46.239,34.7264,292.43,45.4864,34.3235,107.339,15.8015,8.79447,199.034,31.138,17.2023,164.266,31.2193,17.2051,233.349,31.252,17.1975,54.8812,25.9899,4.36155,119.767,51.9324,8.7646,26.8288,2.83825,3083.44147,0.999999967568706
-c1,198.30001,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,14.181538,27.646,13.5936,24.574,26.0654,3.67647,6.990665,49.3767,6.99017,15.5609,6.408654,2596.644717,1.18747140533545
-c2,198.30001,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,14.181538,27.646,13.5936,24.574,26.0654,3.67647,6.990665,49.3767,6.99017,15.5609,6.408654,2596.644717,1.18747140533545
-c3,198.30001,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,6.990665,49.3767,6.99017,15.5609,6.408654,2749.313179,1.12153150881428
-c4,198.30001,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,6.990665,49.3767,6.99017,15.5609,6.408654,2749.313179,1.12153150881428
-c5,198.30001,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,14.181538,27.646,13.5936,24.574,26.0654,3.67647,63.594,49.3767,6.99017,15.5609,6.408654,2653.248052,1.16213836526211
-c6,198.30001,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,14.181538,27.646,13.5936,24.574,26.0654,3.67647,6.990665,49.3767,6.99017,15.5609,6.408654,2596.644717,1.18747140533545
-c7,198.30001,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,6.990665,49.3767,6.99017,15.5609,6.408654,2749.313179,1.12153150881428
-c8,198.30001,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,63.594,49.3767,6.99017,15.5609,6.408654,2805.916514,1.0989070219034
-c9,198.30001,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,6.990665,49.3767,6.99017,15.5609,6.408654,2749.313179,1.12153150881428
-c10,198.30001,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,14.181538,27.646,13.5936,24.574,26.0654,3.67647,6.990665,49.3767,6.99017,15.5609,6.408654,2596.644717,1.18747140533545
-c11,198.30001,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,14.181538,27.646,13.5936,24.574,26.0654,3.67647,6.990665,49.3767,6.99017,15.5609,6.408654,2596.644717,1.18747140533545
-c12,198.30001,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,6.990665,49.3767,6.99017,15.5609,6.408654,2749.313179,1.12153150881428
-c13,198.30001,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,6.990665,49.3767,6.99017,15.5609,6.408654,2749.313179,1.12153150881428
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diff --git a/hpvm/projects/soc_simulator/mobilenet_shallow/results/HA_loss2_results.txt b/hpvm/projects/soc_simulator/mobilenet_shallow/results/HA_loss2_results.txt
deleted file mode 100644
index 1127c71bb854e69baaaf74a21f82b84266251ef4..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/mobilenet_shallow/results/HA_loss2_results.txt
+++ /dev/null
@@ -1,385 +0,0 @@
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-c15,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,15.711348,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,11.801625,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,24.78013,8156.508103,1.67116386887057
-c16,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,7.862657,184.971,30.535,61.4365,24.78013,9478.953787,1.43801330479033
-c17,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,7.768049,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,7.862657,184.971,30.535,61.4365,24.78013,8505.022836,1.60268372085199
-c18,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,15.711348,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,11.801625,103.913,54.7397,94.3137,100.201,18.1925,3.887477,184.971,30.535,61.4365,24.78013,7924.38858,1.72011524868818
-c19,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,15.711348,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,15.711348,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,24.78013,8160.417826,1.67036320058689
-c20,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,15.711348,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,7.768049,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,24.78013,8460.779527,1.61106451248314
-c21,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,15.711348,143.829,100.069,147.475,60.7097,34.5499,7.855674,104.698,54.9348,577.662,103.328,53.7829,15.711348,103.913,54.7397,94.3137,100.201,18.1925,5.906058,184.971,30.535,61.4365,24.78013,7578.316558,1.79866617088515
-c22,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,11.801625,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,15.711348,103.913,54.7397,94.3137,100.201,18.1925,7.862657,184.971,30.535,61.4365,24.78013,7928.36376,1.71925280495388
-c23,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,7.768049,143.829,100.069,147.475,60.7097,34.5499,7.855674,104.698,54.9348,577.662,103.328,53.7829,15.711348,103.913,54.7397,94.3137,100.201,18.1925,7.862657,184.971,30.535,61.4365,24.78013,7572.329858,1.80008820014496
-c24,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,15.711348,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,7.862657,184.971,30.535,61.4365,24.78013,8512.966135,1.60118828487283
-c25,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,15.711348,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,11.801625,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,24.78013,8156.508103,1.67116386887057
-c26,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,7.862657,184.971,30.535,61.4365,24.78013,9478.953787,1.43801330479033
-c27,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,15.711348,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,11.801625,103.913,54.7397,94.3137,100.201,18.1925,3.887477,184.971,30.535,61.4365,24.78013,7924.38858,1.72011524868818
-c28,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,15.711348,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,15.711348,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,24.78013,8160.417826,1.67036320058689
-c29,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,7.768049,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,7.862657,184.971,30.535,61.4365,24.78013,8505.022836,1.60268372085199
-
-c1,7558.685333
-
-Compute Time
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,165.401,52.2864,38.6453,137.297,52.1549,38.1169,258.954,97.6062,68.9786,99.7425,23.3301,17.5398,118.361,46.095,34.7036,211.862,46.239,34.7264,292.43,45.4864,34.3235,107.339,15.8015,8.79447,199.034,31.138,17.2023,164.266,31.2193,17.2051,233.349,31.252,17.1975,54.8812,25.9899,4.36155,119.767,51.9324,8.7646,26.8288,2.83825,3083.44147,0.999999967568706
-c1,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,2.83825,2209.06946,1.3958100395897
-c2,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2306.626856,1.33677509576455
-c3,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2212.639864,1.39355770489916
-c4,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2465.17324,1.25080107754208
-c5,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,63.594,49.3767,6.99017,15.5609,6.408654,2365.607736,1.30344574577238
-c6,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,63.594,49.3767,6.99017,15.5609,6.408654,2704.474512,1.14012587003719
-c7,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2739.480624,1.12555691412122
-c8,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2306.626856,1.33677509576455
-c9,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,63.594,49.3767,6.99017,15.5609,6.408654,2365.607736,1.30344574577238
-c10,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2465.17324,1.25080107754208
-c11,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2212.639864,1.39355770489916
-c12,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2306.626856,1.33677509576455
-c13,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2212.639864,1.39355770489916
-c14,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2465.17324,1.25080107754208
-c15,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,63.594,49.3767,6.99017,15.5609,6.408654,2365.607736,1.30344574577238
-c16,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2739.480624,1.12555691412122
-c17,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2465.17324,1.25080107754208
-c18,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2306.626856,1.33677509576455
-c19,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,63.594,49.3767,6.99017,15.5609,6.408654,2365.607736,1.30344574577238
-c20,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,8.303616,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,63.594,49.3767,6.99017,15.5609,6.408654,2462.633736,1.25209092189213
-c21,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2212.639864,1.39355770489916
-c22,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2306.626856,1.33677509576455
-c23,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2212.639864,1.39355770489916
-c24,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2465.17324,1.25080107754208
-c25,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,63.594,49.3767,6.99017,15.5609,6.408654,2365.607736,1.30344574577238
-c26,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2739.480624,1.12555691412122
-c27,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2306.626856,1.33677509576455
-c28,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,63.594,49.3767,6.99017,15.5609,6.408654,2365.607736,1.30344574577238
-c29,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2465.17324,1.25080107754208
-
-c1,2209.06946
-
-Energy
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,567.689,184.046,138.524,505.587,197.914,146.069,1032.03,409.331,295.295,435.587,99.2457,73.9864,532.734,210.096,158.225,941.502,219.088,164.507,1371.64,217.634,164.29,520.234,71.2826,36.7775,954.881,148.359,79.3874,793.877,145.953,77.3085,1117.62,148.499,78.9983,263.615,121.522,14.8101,577.124,249.047,36.7714,124.626,5.148905,13630.861805,0.999999992663707
-c1,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,91.934874,143.829,100.069,147.475,60.7097,34.5499,38.09458,104.698,54.9348,577.662,103.328,53.7829,60.851377,103.913,54.7397,94.3137,100.201,18.1925,24.49524,184.971,30.535,61.4365,5.2108132,7744.2773842,1.76012053194244
-c2,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,88.025151,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,60.851377,103.913,54.7397,94.3137,100.201,18.1925,26.451839,184.971,30.535,61.4365,24.78013,8083.654997,1.68622506050001
-c3,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,83.991575,143.829,100.069,147.475,60.7097,34.5499,38.09458,104.698,54.9348,577.662,103.328,53.7829,60.851377,103.913,54.7397,94.3137,100.201,18.1925,26.451839,184.971,30.535,61.4365,24.78013,7757.860001,1.75703887767233
-c4,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,91.934874,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,26.451839,184.971,30.535,61.4365,24.78013,8623.117343,1.5807347974908
-c5,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,91.934874,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,56.941654,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,24.78013,8293.210158,1.64361705310089
-c6,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,38.09458,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,24.78013,9400.67521,1.44998751212055
-c7,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,26.451839,184.971,30.535,61.4365,24.78013,9512.881469,1.43288463186795
-c8,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,91.934874,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,56.941654,103.913,54.7397,94.3137,100.201,18.1925,22.476659,184.971,30.535,61.4365,24.78013,8079.679817,1.68705467853003
-c9,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,91.934874,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,60.851377,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,24.78013,8297.119881,1.64284255696121
-c10,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,83.991575,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,26.451839,184.971,30.535,61.4365,24.78013,8615.174044,1.5821922548708
-c11,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,91.934874,143.829,100.069,147.475,60.7097,34.5499,38.09458,104.698,54.9348,577.662,103.328,53.7829,60.851377,103.913,54.7397,94.3137,100.201,18.1925,24.49524,184.971,30.535,61.4365,24.78013,7763.846701,1.75568402550709
-c12,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,88.025151,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,60.851377,103.913,54.7397,94.3137,100.201,18.1925,26.451839,184.971,30.535,61.4365,24.78013,8083.654997,1.68622506050001
-c13,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,83.991575,143.829,100.069,147.475,60.7097,34.5499,38.09458,104.698,54.9348,577.662,103.328,53.7829,60.851377,103.913,54.7397,94.3137,100.201,18.1925,26.451839,184.971,30.535,61.4365,24.78013,7757.860001,1.75703887767233
-c14,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,91.934874,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,26.451839,184.971,30.535,61.4365,24.78013,8623.117343,1.5807347974908
-c15,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,91.934874,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,56.941654,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,24.78013,8293.210158,1.64361705310089
-c16,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,26.451839,184.971,30.535,61.4365,24.78013,9512.881469,1.43288463186795
-c17,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,83.991575,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,26.451839,184.971,30.535,61.4365,24.78013,8615.174044,1.5821922548708
-c18,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,91.934874,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,56.941654,103.913,54.7397,94.3137,100.201,18.1925,22.476659,184.971,30.535,61.4365,24.78013,8079.679817,1.68705467853003
-c19,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,91.934874,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,60.851377,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,24.78013,8297.119881,1.64284255696121
-c20,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,76.301921,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,52.908078,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,24.78013,8581.848629,1.58833629389647
-c21,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,91.934874,143.829,100.069,147.475,60.7097,34.5499,38.09458,104.698,54.9348,577.662,103.328,53.7829,60.851377,103.913,54.7397,94.3137,100.201,18.1925,24.49524,184.971,30.535,61.4365,24.78013,7763.846701,1.75568402550709
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-c25,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,91.934874,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,56.941654,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,24.78013,8293.210158,1.64361705310089
-c26,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,26.451839,184.971,30.535,61.4365,24.78013,9512.881469,1.43288463186795
-c27,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,91.934874,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,56.941654,103.913,54.7397,94.3137,100.201,18.1925,22.476659,184.971,30.535,61.4365,24.78013,8079.679817,1.68705467853003
-c28,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,91.934874,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,60.851377,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,24.78013,8297.119881,1.64284255696121
-c29,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,83.991575,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,26.451839,184.971,30.535,61.4365,24.78013,8615.174044,1.5821922548708
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-c1,7744.2773842
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-Leakage Energy
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,12.490088,0,0,0,0,0,21.344501,0,0,0,0,0,9.633508,0,0,0,0,72.383683,0
-c2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,9.633508,0,0,0,0,59.893595,0
-c3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,12.490088,0,0,0,0,0,21.344501,0,0,0,0,0,9.633508,0,0,0,0,72.383683,0
-c4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.633508,0,0,0,0,38.549094,0
-c5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,0,0,0,0,0,50.260087,0
-c6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,12.490088,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,12.490088,0
-c7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.633508,0,0,0,0,9.633508,0
-c8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,9.633508,0,0,0,0,59.893595,0
-c9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,0,0,0,0,0,50.260087,0
-c10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.633508,0,0,0,0,38.549094,0
-c11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,12.490088,0,0,0,0,0,21.344501,0,0,0,0,0,9.633508,0,0,0,0,72.383683,0
-c12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,9.633508,0,0,0,0,59.893595,0
-c13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,12.490088,0,0,0,0,0,21.344501,0,0,0,0,0,9.633508,0,0,0,0,72.383683,0
-c14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.633508,0,0,0,0,38.549094,0
-c15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,0,0,0,0,0,50.260087,0
-c16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.633508,0,0,0,0,9.633508,0
-c17,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.633508,0,0,0,0,38.549094,0
-c18,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,9.633508,0,0,0,0,59.893595,0
-c19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,0,0,0,0,0,50.260087,0
-c20,0,0,0,0,0,0,0,0,0,0,0,0,25.140123,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,0,0,0,0,0,46.484624,0
-c21,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,12.490088,0,0,0,0,0,21.344501,0,0,0,0,0,9.633508,0,0,0,0,72.383683,0
-c22,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,9.633508,0,0,0,0,59.893595,0
-c23,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,12.490088,0,0,0,0,0,21.344501,0,0,0,0,0,9.633508,0,0,0,0,72.383683,0
-c24,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.633508,0,0,0,0,38.549094,0
-c25,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,0,0,0,0,0,50.260087,0
-c26,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.633508,0,0,0,0,9.633508,0
-c27,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,9.633508,0,0,0,0,59.893595,0
-c28,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,0,0,0,0,0,0,21.344501,0,0,0,0,0,0,0,0,0,0,50.260087,0
-c29,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28.915586,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.633508,0,0,0,0,38.549094,0
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-c0,0
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-Memory Energy
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,17.748818,0,0,0,0,0,23.795528,0,0,0,0,0,8.955674,0,0,0,0,97.80796,0
-c2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,0,0,0,0,0,0,23.795528,0,0,0,0,0,8.955674,0,0,0,0,80.059142,0
-c3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,17.748818,0,0,0,0,0,23.795528,0,0,0,0,0,8.955674,0,0,0,0,97.80796,0
-c4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8.955674,0,0,0,0,56.263614,0
-c5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,0,0,0,0,0,0,23.795528,0,0,0,0,0,0,0,0,0,0,71.103468,0
-c6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,17.748818,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,17.748818,0
-c7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8.955674,0,0,0,0,8.955674,0
-c8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,0,0,0,0,0,0,23.795528,0,0,0,0,0,8.955674,0,0,0,0,80.059142,0
-c9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,0,0,0,0,0,0,23.795528,0,0,0,0,0,0,0,0,0,0,71.103468,0
-c10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8.955674,0,0,0,0,56.263614,0
-c11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,17.748818,0,0,0,0,0,23.795528,0,0,0,0,0,8.955674,0,0,0,0,97.80796,0
-c12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,0,0,0,0,0,0,23.795528,0,0,0,0,0,8.955674,0,0,0,0,80.059142,0
-c13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,17.748818,0,0,0,0,0,23.795528,0,0,0,0,0,8.955674,0,0,0,0,97.80796,0
-c14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8.955674,0,0,0,0,56.263614,0
-c15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,0,0,0,0,0,0,23.795528,0,0,0,0,0,0,0,0,0,0,71.103468,0
-c16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8.955674,0,0,0,0,8.955674,0
-c17,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8.955674,0,0,0,0,56.263614,0
-c18,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,0,0,0,0,0,0,23.795528,0,0,0,0,0,8.955674,0,0,0,0,80.059142,0
-c19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,0,0,0,0,0,0,23.795528,0,0,0,0,0,0,0,0,0,0,71.103468,0
-c20,0,0,0,0,0,0,0,0,0,0,0,0,35.450450,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,23.795528,0,0,0,0,0,0,0,0,0,0,59.245978,0
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-c23,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,17.748818,0,0,0,0,0,23.795528,0,0,0,0,0,8.955674,0,0,0,0,97.80796,0
-c24,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8.955674,0,0,0,0,56.263614,0
-c25,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,0,0,0,0,0,0,23.795528,0,0,0,0,0,0,0,0,0,0,71.103468,0
-c26,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8.955674,0,0,0,0,8.955674,0
-c27,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,0,0,0,0,0,0,23.795528,0,0,0,0,0,8.955674,0,0,0,0,80.059142,0
-c28,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,0,0,0,0,0,0,23.795528,0,0,0,0,0,0,0,0,0,0,71.103468,0
-c29,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,47.307940,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8.955674,0,0,0,0,56.263614,0
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-c0,0
-
-Memory Time
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10.775261,0,0,0,0,0,4.157930,0,0,0,0,0,5.877922,0,0,0,0,0,2.377545,0,0,0,0,23.188658,0
-c2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10.775261,0,0,0,0,0,0,0,0,0,0,0,5.877922,0,0,0,0,0,2.377545,0,0,0,0,19.030728,0
-c3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10.775261,0,0,0,0,0,4.157930,0,0,0,0,0,5.877922,0,0,0,0,0,2.377545,0,0,0,0,23.188658,0
-c4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10.775261,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.377545,0,0,0,0,13.152806,0
-c5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10.775261,0,0,0,0,0,0,0,0,0,0,0,5.877922,0,0,0,0,0,0,0,0,0,0,16.653183,0
-c6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4.157930,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4.15793,0
-c7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.377545,0,0,0,0,2.377545,0
-c8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10.775261,0,0,0,0,0,0,0,0,0,0,0,5.877922,0,0,0,0,0,2.377545,0,0,0,0,19.030728,0
-c9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10.775261,0,0,0,0,0,0,0,0,0,0,0,5.877922,0,0,0,0,0,0,0,0,0,0,16.653183,0
-c10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10.775261,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.377545,0,0,0,0,13.152806,0
-c11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10.775261,0,0,0,0,0,4.157930,0,0,0,0,0,5.877922,0,0,0,0,0,2.377545,0,0,0,0,23.188658,0
-c12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10.775261,0,0,0,0,0,0,0,0,0,0,0,5.877922,0,0,0,0,0,2.377545,0,0,0,0,19.030728,0
-c13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10.775261,0,0,0,0,0,4.157930,0,0,0,0,0,5.877922,0,0,0,0,0,2.377545,0,0,0,0,23.188658,0
-c14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10.775261,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.377545,0,0,0,0,13.152806,0
-c15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10.775261,0,0,0,0,0,0,0,0,0,0,0,5.877922,0,0,0,0,0,0,0,0,0,0,16.653183,0
-c16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.377545,0,0,0,0,2.377545,0
-c17,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10.775261,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.377545,0,0,0,0,13.152806,0
-c18,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10.775261,0,0,0,0,0,0,0,0,0,0,0,5.877922,0,0,0,0,0,2.377545,0,0,0,0,19.030728,0
-c19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10.775261,0,0,0,0,0,0,0,0,0,0,0,5.877922,0,0,0,0,0,0,0,0,0,0,16.653183,0
-c20,0,0,0,0,0,0,0,0,0,0,0,0,8.307830,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5.877922,0,0,0,0,0,0,0,0,0,0,14.185752,0
-c21,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10.775261,0,0,0,0,0,4.157930,0,0,0,0,0,5.877922,0,0,0,0,0,2.377545,0,0,0,0,23.188658,0
-c22,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10.775261,0,0,0,0,0,0,0,0,0,0,0,5.877922,0,0,0,0,0,2.377545,0,0,0,0,19.030728,0
-c23,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10.775261,0,0,0,0,0,4.157930,0,0,0,0,0,5.877922,0,0,0,0,0,2.377545,0,0,0,0,23.188658,0
-c24,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10.775261,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.377545,0,0,0,0,13.152806,0
-c25,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10.775261,0,0,0,0,0,0,0,0,0,0,0,5.877922,0,0,0,0,0,0,0,0,0,0,16.653183,0
-c26,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.377545,0,0,0,0,2.377545,0
-c27,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10.775261,0,0,0,0,0,0,0,0,0,0,0,5.877922,0,0,0,0,0,2.377545,0,0,0,0,19.030728,0
-c28,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10.775261,0,0,0,0,0,0,0,0,0,0,0,5.877922,0,0,0,0,0,0,0,0,0,0,16.653183,0
-c29,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10.775261,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.377545,0,0,0,0,13.152806,0
-
-c0,0
-
-Patch Energy
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c17,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c18,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c20,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c21,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c22,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c23,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c24,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c25,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c26,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c27,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c28,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c29,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-
-c0,0
-
-Quantization Energy
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.0619082,15.4004082,0
-c2,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c3,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c4,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c5,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c6,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c7,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c8,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c9,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c10,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c11,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c12,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c13,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c14,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c15,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c16,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c17,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c18,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c19,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c20,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c21,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c22,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c23,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c24,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c25,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c26,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c27,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c28,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c29,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-
-c0,0
-
-Quantization Time
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.310624,7.765634,0
-c2,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c3,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c4,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c5,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c6,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c7,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c8,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c9,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c10,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c11,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c12,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c13,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c14,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c15,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c16,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c17,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c18,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c19,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c20,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c21,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c22,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c23,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c24,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c25,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c26,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c27,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c28,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-c29,7.45501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45501,0
-
-c0,0
-
-Time
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,165.401,52.2864,38.6453,137.297,52.1549,38.1169,258.954,97.6062,68.9786,99.7425,23.3301,17.5398,118.361,46.095,34.7036,211.862,46.239,34.7264,292.43,45.4864,34.3235,107.339,15.8015,8.79447,199.034,31.138,17.2023,164.266,31.2193,17.2051,233.349,31.252,17.1975,54.8812,25.9899,4.36155,119.767,51.9324,8.7646,26.8288,2.83825,3083.44147,0.999999967568706
-c1,198.30001,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,19.078877,40.5067,26.7374,39.6826,15.3482,7.99351,8.309738,27.6217,13.5987,160.813,27.6333,13.5078,14.181538,27.646,13.5936,24.574,26.0654,3.67647,6.990665,49.3767,6.99017,15.5609,3.148874,2240.023752,1.37652171303755
-c2,198.30001,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,19.078877,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,14.181538,27.646,13.5936,24.574,26.0654,3.67647,6.990665,49.3767,6.99017,15.5609,6.408654,2333.112594,1.32159988582189
-c3,198.30001,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,19.078877,40.5067,26.7374,39.6826,15.3482,7.99351,8.309738,27.6217,13.5987,160.813,27.6333,13.5078,14.181538,27.646,13.5936,24.574,26.0654,3.67647,6.990665,49.3767,6.99017,15.5609,6.408654,2243.283532,1.37452144972455
-c4,198.30001,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,19.078877,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,6.990665,49.3767,6.99017,15.5609,6.408654,2485.781056,1.2404315893044
-c5,198.30001,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,19.078877,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,14.181538,27.646,13.5936,24.574,26.0654,3.67647,63.594,49.3767,6.99017,15.5609,6.408654,2389.715929,1.29029618271854
-c6,198.30001,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,8.309738,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,63.594,49.3767,6.99017,15.5609,6.408654,2716.087452,1.13525113272932
-c7,198.30001,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,6.990665,49.3767,6.99017,15.5609,6.408654,2749.313179,1.12153150881428
-c8,198.30001,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,19.078877,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,14.181538,27.646,13.5936,24.574,26.0654,3.67647,6.990665,49.3767,6.99017,15.5609,6.408654,2333.112594,1.32159988582189
-c9,198.30001,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,19.078877,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,14.181538,27.646,13.5936,24.574,26.0654,3.67647,63.594,49.3767,6.99017,15.5609,6.408654,2389.715929,1.29029618271854
-c10,198.30001,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,19.078877,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,6.990665,49.3767,6.99017,15.5609,6.408654,2485.781056,1.2404315893044
-c11,198.30001,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,19.078877,40.5067,26.7374,39.6826,15.3482,7.99351,8.309738,27.6217,13.5987,160.813,27.6333,13.5078,14.181538,27.646,13.5936,24.574,26.0654,3.67647,6.990665,49.3767,6.99017,15.5609,6.408654,2243.283532,1.37452144972455
-c12,198.30001,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,19.078877,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,14.181538,27.646,13.5936,24.574,26.0654,3.67647,6.990665,49.3767,6.99017,15.5609,6.408654,2333.112594,1.32159988582189
-c13,198.30001,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,19.078877,40.5067,26.7374,39.6826,15.3482,7.99351,8.309738,27.6217,13.5987,160.813,27.6333,13.5078,14.181538,27.646,13.5936,24.574,26.0654,3.67647,6.990665,49.3767,6.99017,15.5609,6.408654,2243.283532,1.37452144972455
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diff --git a/hpvm/projects/soc_simulator/mobilenet_shallow/results/HS_loss1_results.txt b/hpvm/projects/soc_simulator/mobilenet_shallow/results/HS_loss1_results.txt
deleted file mode 100644
index 85b21baa2464f296262fc489ac6162bbd7d6810a..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/mobilenet_shallow/results/HS_loss1_results.txt
+++ /dev/null
@@ -1,759 +0,0 @@
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-c43,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,7.855674,104.698,54.9348,577.662,103.328,53.7829,6.962637,103.913,54.7397,94.3137,100.201,18.1925,3.887477,184.971,30.535,61.4365,0.017407,8508.774195,1.60197712765867
-c44,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,7.855674,104.698,54.9348,577.662,103.328,53.7829,5.167169,103.913,54.7397,94.3137,100.201,18.1925,3.484413,184.971,30.535,61.4365,24.78013,8531.338386,1.59774012335443
-c45,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,5.900812,104.698,54.9348,577.662,103.328,53.7829,15.711348,103.913,54.7397,94.3137,100.201,18.1925,3.484413,184.971,30.535,61.4365,0.017407,8515.16498,1.60077481492584
-c46,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,5.900812,104.698,54.9348,577.662,103.328,53.7829,11.801625,103.913,54.7397,94.3137,100.201,18.1925,2.585881,184.971,30.535,61.4365,0.039278,8510.378596,1.601675118336
-c47,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,3.884025,104.698,54.9348,577.662,103.328,53.7829,11.801625,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,0.012918,8741.756568,1.55928176940649
-c48,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,2.583585,104.698,54.9348,577.662,103.328,53.7829,7.768049,103.913,54.7397,94.3137,100.201,18.1925,3.484413,184.971,30.535,61.4365,0.039278,8503.926325,1.60289037366642
-c49,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,5.900812,104.698,54.9348,577.662,103.328,53.7829,6.962637,103.913,54.7397,94.3137,100.201,18.1925,3.484413,184.971,30.535,61.4365,0.039278,8506.43814,1.60241706580591
-c50,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,2.583585,104.698,54.9348,577.662,103.328,53.7829,6.962637,103.913,54.7397,94.3137,100.201,18.1925,7.862657,184.971,30.535,61.4365,0.039278,8507.499157,1.60221721956478
-c51,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,2.583585,104.698,54.9348,577.662,103.328,53.7829,11.801625,103.913,54.7397,94.3137,100.201,18.1925,5.906058,184.971,30.535,61.4365,0.039278,8510.381546,1.60167456313862
-c52,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,2.583585,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,5.906058,184.971,30.535,61.4365,0.012918,9094.957561,1.49872735124984
-c53,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,3.481319,104.698,54.9348,577.662,103.328,53.7829,11.801625,103.913,54.7397,94.3137,100.201,18.1925,3.484413,184.971,30.535,61.4365,0.017407,8508.835764,1.60196553592845
-c54,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,7.855674,104.698,54.9348,577.662,103.328,53.7829,5.167169,103.913,54.7397,94.3137,100.201,18.1925,3.484413,184.971,30.535,61.4365,0.039278,8506.597534,1.60238704020969
-c55,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,5.900812,104.698,54.9348,577.662,103.328,53.7829,11.801625,103.913,54.7397,94.3137,100.201,18.1925,2.585881,184.971,30.535,61.4365,0.019420,8510.358738,1.6016788556713
-c56,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,5.900812,104.698,54.9348,577.662,103.328,53.7829,11.801625,103.913,54.7397,94.3137,100.201,18.1925,3.484413,184.971,30.535,61.4365,0.012918,8511.250768,1.60151099014698
-c57,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,5.900812,104.698,54.9348,577.662,103.328,53.7829,7.768049,103.913,54.7397,94.3137,100.201,18.1925,3.484413,184.971,30.535,61.4365,0.012918,8507.217192,1.60227032378945
-c58,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,5.900812,104.698,54.9348,577.662,103.328,53.7829,7.768049,103.913,54.7397,94.3137,100.201,18.1925,3.484413,184.971,30.535,61.4365,0.017407,8507.221681,1.60226947832054
-c59,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,5.900812,104.698,54.9348,577.662,103.328,53.7829,11.801625,103.913,54.7397,94.3137,100.201,18.1925,2.585881,184.971,30.535,61.4365,24.78013,8535.119448,1.59703232372346
-c60,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,3.884025,104.698,54.9348,577.662,103.328,53.7829,11.801625,103.913,54.7397,94.3137,100.201,18.1925,3.887477,184.971,30.535,61.4365,0.017407,8509.641534,1.60181384731154
-c61,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,3.481319,104.698,54.9348,577.662,103.328,53.7829,11.801625,103.913,54.7397,94.3137,100.201,18.1925,3.484413,184.971,30.535,61.4365,0.039278,8508.857635,1.60196141826785
-c62,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,5.900812,104.698,54.9348,577.662,103.328,53.7829,11.801625,103.913,54.7397,94.3137,100.201,18.1925,3.484413,184.971,30.535,61.4365,0.019420,8511.25727,1.6015097667056
-c63,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,3.481319,104.698,54.9348,577.662,103.328,53.7829,11.801625,103.913,54.7397,94.3137,100.201,18.1925,3.484413,184.971,30.535,61.4365,24.78013,8533.598487,1.59731696611147
-
-c9,8501.325445
-
-Compute Time
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,165.401,52.2864,38.6453,137.297,52.1549,38.1169,258.954,97.6062,68.9786,99.7425,23.3301,17.5398,118.361,46.095,34.7036,211.862,46.239,34.7264,292.43,45.4864,34.3235,107.339,15.8015,8.79447,199.034,31.138,17.2023,164.266,31.2193,17.2051,233.349,31.252,17.1975,54.8812,25.9899,4.36155,119.767,51.9324,8.7646,26.8288,2.83825,3083.44147,0.999999967568706
-c1,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2480.574634,1.24303510300932
-c2,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2480.574634,1.24303510300932
-c3,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2480.574634,1.24303510300932
-c4,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,63.594,49.3767,6.99017,15.5609,0.036040,2539.555514,1.21416575915947
-c5,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2480.574634,1.24303510300932
-c6,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2480.574634,1.24303510300932
-c7,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2480.574634,1.24303510300932
-c8,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2480.574634,1.24303510300932
-c9,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2480.574634,1.24303510300932
-c10,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2480.574634,1.24303510300932
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-c48,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2480.574634,1.24303510300932
-c49,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2480.574634,1.24303510300932
-c50,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2480.574634,1.24303510300932
-c51,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2480.574634,1.24303510300932
-c52,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2639.121018,1.16835921207615
-c53,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2480.574634,1.24303510300932
-c54,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2480.574634,1.24303510300932
-c55,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2480.574634,1.24303510300932
-c56,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2480.574634,1.24303510300932
-c57,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2480.574634,1.24303510300932
-c58,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2480.574634,1.24303510300932
-c59,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2486.947248,1.23984991981423
-c60,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2480.574634,1.24303510300932
-c61,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2480.574634,1.24303510300932
-c62,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2480.574634,1.24303510300932
-c63,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2486.947248,1.23984991981423
-
-c1,2480.574634
-
-Energy
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,567.689,184.046,138.524,505.587,197.914,146.069,1032.03,409.331,295.295,435.587,99.2457,73.9864,532.734,210.096,158.225,941.502,219.088,164.507,1371.64,217.634,164.29,520.234,71.2826,36.7775,954.881,148.359,79.3874,793.877,145.953,77.3085,1117.62,148.499,78.9983,263.615,121.522,14.8101,577.124,249.047,36.7714,124.626,5.148905,13630.861805,0.999999992663707
-c1,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,34.122931,104.698,54.9348,577.662,103.328,53.7829,56.941654,103.913,54.7397,94.3137,100.201,18.1925,21.175063,184.971,30.535,61.4365,1.016415,8618.645563,1.58155496095141
-c2,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,36.139718,104.698,54.9348,577.662,103.328,53.7829,56.941654,103.913,54.7397,94.3137,100.201,18.1925,21.175063,184.971,30.535,61.4365,1.016415,8620.66235,1.5811849592835
-c3,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,36.139718,104.698,54.9348,577.662,103.328,53.7829,52.908078,103.913,54.7397,94.3137,100.201,18.1925,22.073595,184.971,30.535,61.4365,1.016415,8617.527306,1.58176019208357
-c4,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,33.720225,104.698,54.9348,577.662,103.328,53.7829,50.307198,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,1.016415,8826.440338,1.54432150771853
-c5,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,32.822491,104.698,54.9348,577.662,103.328,53.7829,60.851377,103.913,54.7397,94.3137,100.201,18.1925,24.49524,184.971,30.535,61.4365,1.016415,8624.575023,1.58046763006902
-c6,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,36.139718,104.698,54.9348,577.662,103.328,53.7829,60.851377,103.913,54.7397,94.3137,100.201,18.1925,21.175063,184.971,30.535,61.4365,1.020904,8624.576562,1.58046734804478
-c7,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,36.139718,104.698,54.9348,577.662,103.328,53.7829,52.102666,103.913,54.7397,94.3137,100.201,18.1925,24.49524,184.971,30.535,61.4365,1.016415,8619.143539,1.58146358570043
-c8,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,36.139718,104.698,54.9348,577.662,103.328,53.7829,52.102666,103.913,54.7397,94.3137,100.201,18.1925,22.073595,184.971,30.535,61.4365,1.016415,8616.721894,1.58190804049283
-c9,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,32.822491,104.698,54.9348,577.662,103.328,53.7829,50.307198,103.913,54.7397,94.3137,100.201,18.1925,22.073595,184.971,30.535,61.4365,1.042775,8611.635559,1.58284237103719
-c10,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,33.720225,104.698,54.9348,577.662,103.328,53.7829,60.851377,103.913,54.7397,94.3137,100.201,18.1925,22.476659,184.971,30.535,61.4365,1.016415,8623.454176,1.58067305382904
-c11,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,33.720225,104.698,54.9348,577.662,103.328,53.7829,50.307198,103.913,54.7397,94.3137,100.201,18.1925,22.073595,184.971,30.535,61.4365,1.042775,8612.533293,1.58267738225303
-c12,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,33.720225,104.698,54.9348,577.662,103.328,53.7829,56.941654,103.913,54.7397,94.3137,100.201,18.1925,24.49524,184.971,30.535,61.4365,1.016415,8621.563034,1.58101977485328
-c13,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,33.720225,104.698,54.9348,577.662,103.328,53.7829,60.851377,103.913,54.7397,94.3137,100.201,18.1925,22.476659,184.971,30.535,61.4365,1.016415,8623.454176,1.58067305382904
-c14,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,32.822491,104.698,54.9348,577.662,103.328,53.7829,60.851377,103.913,54.7397,94.3137,100.201,18.1925,22.073595,184.971,30.535,61.4365,1.020904,8622.157867,1.58091070207366
-c15,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,32.822491,104.698,54.9348,577.662,103.328,53.7829,56.941654,103.913,54.7397,94.3137,100.201,18.1925,24.49524,184.971,30.535,61.4365,1.016415,8620.6653,1.58118441820048
-c16,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,34.122931,104.698,54.9348,577.662,103.328,53.7829,50.307198,103.913,54.7397,94.3137,100.201,18.1925,22.476659,184.971,30.535,61.4365,1.016415,8613.312703,1.58253416737082
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-c9,8611.635559
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-Leakage Energy
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
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-c0,0
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-Memory Energy
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-Patch Energy
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
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-c1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
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-c3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
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-c17,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c18,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c20,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
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-c22,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c23,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
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-c27,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c28,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c29,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c30,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c31,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c32,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c33,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c34,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c35,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
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-c41,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c42,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c43,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c44,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c45,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c46,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c47,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c48,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c49,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
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-c52,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c53,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c54,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c55,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c56,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c57,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c58,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c59,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c60,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
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-c0,0
-
-Quantization Energy
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c2,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c3,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c4,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c5,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c6,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c7,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c8,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c9,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c10,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c11,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c12,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c13,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c14,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c15,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c16,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
-c17,15.3385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3385,0
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-
-c0,0
-
-Quantization Time
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
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diff --git a/hpvm/projects/soc_simulator/mobilenet_shallow/results/HS_loss2_results.txt b/hpvm/projects/soc_simulator/mobilenet_shallow/results/HS_loss2_results.txt
deleted file mode 100644
index 965e1ff061ce5ca3247947e16033a1aef2a56db0..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/mobilenet_shallow/results/HS_loss2_results.txt
+++ /dev/null
@@ -1,880 +0,0 @@
-Compute Energy
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,567.689,184.046,138.524,505.587,197.914,146.069,1032.03,409.331,295.295,435.587,99.2457,73.9864,532.734,210.096,158.225,941.502,219.088,164.507,1371.64,217.634,164.29,520.234,71.2826,36.7775,954.881,148.359,79.3874,793.877,145.953,77.3085,1117.62,148.499,78.9983,263.615,121.522,14.8101,577.124,249.047,36.7714,124.626,5.148905,13630.861805,0.999999992663707
-c1,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,7.768049,143.829,100.069,147.475,60.7097,34.5499,3.884025,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,3.887477,184.971,30.535,61.4365,0.029504,8120.325055,1.67861034439082
-c2,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,15.711348,143.829,100.069,147.475,60.7097,34.5499,7.855674,104.698,54.9348,577.662,103.328,53.7829,11.801625,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,0.029504,7779.757151,1.75209346066009
-c3,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,7.768049,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,11.801625,103.913,54.7397,94.3137,100.201,18.1925,2.585881,184.971,30.535,61.4365,0.029504,7890.393059,1.7275263133691
-c4,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,7.768049,143.829,100.069,147.475,60.7097,34.5499,7.855674,104.698,54.9348,577.662,103.328,53.7829,6.962637,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,0.029504,7766.974864,1.75497692063888
-c5,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,7.768049,143.829,100.069,147.475,60.7097,34.5499,3.884025,104.698,54.9348,577.662,103.328,53.7829,15.711348,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,0.029504,7771.751926,1.75389818915975
-c6,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,7.768049,143.829,100.069,147.475,60.7097,34.5499,7.855674,104.698,54.9348,577.662,103.328,53.7829,15.711348,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,0.029504,7775.723575,1.7530023409686
-c7,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,6.962637,143.829,100.069,147.475,60.7097,34.5499,7.855674,104.698,54.9348,577.662,103.328,53.7829,15.711348,103.913,54.7397,94.3137,100.201,18.1925,2.585881,184.971,30.535,61.4365,0.029504,7541.497044,1.80744771823519
-c8,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,7.768049,143.829,100.069,147.475,60.7097,34.5499,7.855674,104.698,54.9348,577.662,103.328,53.7829,6.962637,103.913,54.7397,94.3137,100.201,18.1925,5.906058,184.971,30.535,61.4365,0.039278,7536.883696,1.80855406212236
-c9,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,7.768049,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,3.484413,184.971,30.535,61.4365,0.039278,8475.90374,1.60818976504575
-c10,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,7.768049,143.829,100.069,147.475,60.7097,34.5499,7.855674,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,2.585881,184.971,30.535,61.4365,24.78013,8147.745734,1.67296109656726
-c11,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,7.768049,143.829,100.069,147.475,60.7097,34.5499,7.855674,104.698,54.9348,577.662,103.328,53.7829,11.801625,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,0.029504,7771.813852,1.7538842140569
-c12,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,6.962637,143.829,100.069,147.475,60.7097,34.5499,7.855674,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,2.585881,184.971,30.535,61.4365,0.029504,8122.189696,1.67822497963701
-c13,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,7.768049,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,6.962637,103.913,54.7397,94.3137,100.201,18.1925,5.906058,184.971,30.535,61.4365,24.78013,7913.624874,1.72245486105089
-c14,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,7.768049,143.829,100.069,147.475,60.7097,34.5499,7.855674,104.698,54.9348,577.662,103.328,53.7829,6.962637,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,0.019420,7766.96478,1.7549791991592
-c15,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,5.167169,143.829,100.069,147.475,60.7097,34.5499,7.855674,104.698,54.9348,577.662,103.328,53.7829,6.962637,103.913,54.7397,94.3137,100.201,18.1925,7.862657,184.971,30.535,61.4365,24.78013,7560.980267,1.80279026572957
-c16,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,7.768049,143.829,100.069,147.475,60.7097,34.5499,7.855674,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,2.585881,184.971,30.535,61.4365,0.039278,8123.004882,1.67805656099005
-c17,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,5.167169,143.829,100.069,147.475,60.7097,34.5499,7.855674,104.698,54.9348,577.662,103.328,53.7829,11.801625,103.913,54.7397,94.3137,100.201,18.1925,3.887477,184.971,30.535,61.4365,24.78013,7561.844075,1.80258432857749
-c18,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,15.711348,143.829,100.069,147.475,60.7097,34.5499,7.855674,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,0.029504,8364.359526,1.62963602887536
-c19,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,7.768049,143.829,100.069,147.475,60.7097,34.5499,7.855674,104.698,54.9348,577.662,103.328,53.7829,15.711348,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,0.029504,7775.723575,1.7530023409686
-c20,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,7.768049,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,6.962637,103.913,54.7397,94.3137,100.201,18.1925,7.862657,184.971,30.535,61.4365,0.029504,7890.830847,1.72743046918047
-c21,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,11.801625,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,7.768049,103.913,54.7397,94.3137,100.201,18.1925,5.906058,184.971,30.535,61.4365,24.78013,7918.463862,1.72140226569361
-c22,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,5.900812,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,3.484413,184.971,30.535,61.4365,0.012918,9095.853143,1.49857978584802
-c23,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,7.768049,143.829,100.069,147.475,60.7097,34.5499,7.855674,104.698,54.9348,577.662,103.328,53.7829,15.711348,103.913,54.7397,94.3137,100.201,18.1925,3.887477,184.971,30.535,61.4365,0.029504,7543.604052,1.80694287907275
-c24,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,7.768049,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,6.962637,103.913,54.7397,94.3137,100.201,18.1925,3.887477,184.971,30.535,61.4365,0.029504,7886.855667,1.72830113897023
-c25,489.961,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,7.855674,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,0.039278,9330.356952,1.46091534643663
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-
-c8,7536.883696
-
-Compute Time
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,165.401,52.2864,38.6453,137.297,52.1549,38.1169,258.954,97.6062,68.9786,99.7425,23.3301,17.5398,118.361,46.095,34.7036,211.862,46.239,34.7264,292.43,45.4864,34.3235,107.339,15.8015,8.79447,199.034,31.138,17.2023,164.266,31.2193,17.2051,233.349,31.252,17.1975,54.8812,25.9899,4.36155,119.767,51.9324,8.7646,26.8288,2.83825,3083.44147,0.999999967568706
-c1,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2364.813634,1.30388344150237
-c2,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,63.594,49.3767,6.99017,15.5609,0.036040,2265.24813,1.36119363395331
-c3,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2300.254242,1.34047849131285
-c4,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,63.594,49.3767,6.99017,15.5609,0.036040,2265.24813,1.36119363395331
-c5,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,63.594,49.3767,6.99017,15.5609,0.036040,2265.24813,1.36119363395331
-c6,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,63.594,49.3767,6.99017,15.5609,0.036040,2265.24813,1.36119363395331
-c7,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2206.26725,1.39758287679868
-c8,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2206.26725,1.39758287679868
-c9,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2458.800626,1.25404284999386
-c10,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2371.186248,1.30037922687973
-c11,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,63.594,49.3767,6.99017,15.5609,0.036040,2265.24813,1.36119363395331
-c12,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2364.813634,1.30388344150237
-c13,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2306.626856,1.33677509576455
-c14,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,63.594,49.3767,6.99017,15.5609,0.036040,2265.24813,1.36119363395331
-c15,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2212.639864,1.39355770489916
-c16,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2364.813634,1.30388344150237
-c17,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2212.639864,1.39355770489916
-c18,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,63.594,49.3767,6.99017,15.5609,0.036040,2423.794514,1.27215460096736
-c19,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,63.594,49.3767,6.99017,15.5609,0.036040,2265.24813,1.36119363395331
-c20,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2300.254242,1.34047849131285
-c21,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2306.626856,1.33677509576455
-c22,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2639.121018,1.16835921207615
-c23,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2206.26725,1.39758287679868
-c24,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2300.254242,1.34047849131285
-c25,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,63.594,49.3767,6.99017,15.5609,0.036040,2698.101898,1.14281871933887
-c26,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,6.408654,2212.639864,1.39355770489916
-c27,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2300.254242,1.34047849131285
-c28,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2733.10801,1.1281813034465
-c29,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,63.594,49.3767,6.99017,15.5609,0.036040,2423.794514,1.27215460096736
-c30,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,63.594,49.3767,6.99017,15.5609,0.036040,2359.235122,1.30696652934253
-c31,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,98.1388,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2300.254242,1.34047849131285
-c32,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,63.594,49.3767,6.99017,15.5609,0.036040,2423.794514,1.27215460096736
-c33,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,8.303616,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,166.85,27.646,13.5936,24.574,26.0654,3.67647,63.594,49.3767,6.99017,15.5609,0.036040,2423.794514,1.27215460096736
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-c71,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2480.574634,1.24303510300932
-c72,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2480.574634,1.24303510300932
-c73,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2480.574634,1.24303510300932
-c74,190.845,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,4.151808,27.6217,13.5987,160.813,27.6333,13.5078,8.303616,27.646,13.5936,24.574,26.0654,3.67647,4.613120,49.3767,6.99017,15.5609,0.036040,2480.574634,1.24303510300932
-
-c7,2206.26725
-
-Energy
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
-c0,567.689,184.046,138.524,505.587,197.914,146.069,1032.03,409.331,295.295,435.587,99.2457,73.9864,532.734,210.096,158.225,941.502,219.088,164.507,1371.64,217.634,164.29,520.234,71.2826,36.7775,954.881,148.359,79.3874,793.877,145.953,77.3085,1117.62,148.499,78.9983,263.615,121.522,14.8101,577.124,249.047,36.7714,124.626,5.148905,13630.861805,0.999999992663707
-c1,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,83.991575,143.829,100.069,147.475,60.7097,34.5499,34.122931,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,22.476659,184.971,30.535,61.4365,1.033001,8261.718666,1.64988208762273
-c2,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,91.934874,143.829,100.069,147.475,60.7097,34.5499,38.09458,104.698,54.9348,577.662,103.328,53.7829,56.941654,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,1.033001,7947.701609,1.7150696269293
-c3,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,83.991575,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,56.941654,103.913,54.7397,94.3137,100.201,18.1925,21.175063,184.971,30.535,61.4365,1.033001,8046.687793,1.69397172926985
-c4,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,83.991575,143.829,100.069,147.475,60.7097,34.5499,38.09458,104.698,54.9348,577.662,103.328,53.7829,52.102666,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,1.033001,7934.919322,1.71783241644618
-c5,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,83.991575,143.829,100.069,147.475,60.7097,34.5499,34.122931,104.698,54.9348,577.662,103.328,53.7829,60.851377,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,1.033001,7939.696384,1.71679885150129
-c6,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,83.991575,143.829,100.069,147.475,60.7097,34.5499,38.09458,104.698,54.9348,577.662,103.328,53.7829,60.851377,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,1.033001,7943.668033,1.71594049207242
-c7,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,83.186163,143.829,100.069,147.475,60.7097,34.5499,38.09458,104.698,54.9348,577.662,103.328,53.7829,60.851377,103.913,54.7397,94.3137,100.201,18.1925,21.175063,184.971,30.535,61.4365,1.033001,7728.030684,1.76382084724884
-c8,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,83.991575,143.829,100.069,147.475,60.7097,34.5499,38.09458,104.698,54.9348,577.662,103.328,53.7829,52.102666,103.913,54.7397,94.3137,100.201,18.1925,24.49524,184.971,30.535,61.4365,1.042775,7723.417336,1.76487441187168
-c9,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,83.991575,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,22.073595,184.971,30.535,61.4365,1.042775,8587.058445,1.58737264146602
-c10,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,83.991575,143.829,100.069,147.475,60.7097,34.5499,38.09458,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,21.175063,184.971,30.535,61.4365,24.78013,8288.135848,1.64462333756594
-c11,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,83.991575,143.829,100.069,147.475,60.7097,34.5499,38.09458,104.698,54.9348,577.662,103.328,53.7829,56.941654,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,1.033001,7939.75831,1.71678546136015
-c12,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,83.186163,143.829,100.069,147.475,60.7097,34.5499,38.09458,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,21.175063,184.971,30.535,61.4365,1.033001,8263.583307,1.64950979903627
-c13,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,83.991575,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,52.102666,103.913,54.7397,94.3137,100.201,18.1925,24.49524,184.971,30.535,61.4365,24.78013,8068.916111,1.68930516175365
-c14,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,83.991575,143.829,100.069,147.475,60.7097,34.5499,38.09458,104.698,54.9348,577.662,103.328,53.7829,52.102666,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,1.022917,7934.909238,1.71783459953629
-c15,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,81.390695,143.829,100.069,147.475,60.7097,34.5499,38.09458,104.698,54.9348,577.662,103.328,53.7829,52.102666,103.913,54.7397,94.3137,100.201,18.1925,26.451839,184.971,30.535,61.4365,24.78013,7746.51041,1.75961315580788
-c16,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,83.991575,143.829,100.069,147.475,60.7097,34.5499,38.09458,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,21.175063,184.971,30.535,61.4365,1.042775,8264.398493,1.64934709423931
-c17,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,81.390695,143.829,100.069,147.475,60.7097,34.5499,38.09458,104.698,54.9348,577.662,103.328,53.7829,56.941654,103.913,54.7397,94.3137,100.201,18.1925,22.476659,184.971,30.535,61.4365,24.78013,7747.374218,1.75941696444568
-c18,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,91.934874,143.829,100.069,147.475,60.7097,34.5499,38.09458,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,1.033001,8487.163955,1.60605612389096
-c19,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,83.991575,143.829,100.069,147.475,60.7097,34.5499,38.09458,104.698,54.9348,577.662,103.328,53.7829,60.851377,103.913,54.7397,94.3137,100.201,18.1925,236.007,184.971,30.535,61.4365,1.033001,7943.668033,1.71594049207242
-c20,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,83.991575,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,52.102666,103.913,54.7397,94.3137,100.201,18.1925,26.451839,184.971,30.535,61.4365,1.033001,8047.125581,1.69387957207922
-c21,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,88.025151,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,52.908078,103.913,54.7397,94.3137,100.201,18.1925,24.49524,184.971,30.535,61.4365,24.78013,8073.755099,1.68829268029929
-c22,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,36.139718,104.698,54.9348,577.662,103.328,53.7829,596.404,103.913,54.7397,94.3137,100.201,18.1925,22.073595,184.971,30.535,61.4365,1.016415,9161.023228,1.48791912398457
-c23,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,83.991575,143.829,100.069,147.475,60.7097,34.5499,38.09458,104.698,54.9348,577.662,103.328,53.7829,60.851377,103.913,54.7397,94.3137,100.201,18.1925,22.476659,184.971,30.535,61.4365,1.033001,7730.137692,1.76334008160976
-c24,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,83.991575,143.829,100.069,147.475,60.7097,34.5499,359.856,104.698,54.9348,577.662,103.328,53.7829,52.102666,103.913,54.7397,94.3137,100.201,18.1925,22.476659,184.971,30.535,61.4365,1.033001,8043.150401,1.69471674107121
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-c72,505.2995,126.823,85.2148,454.401,157.667,98.9958,792.454,303.765,205.544,315.332,87.6934,64.6513,673.394,149.173,106.31,1119.27,145.624,102.738,981.699,143.829,100.069,147.475,60.7097,34.5499,38.09458,104.698,54.9348,577.662,103.328,53.7829,50.307198,103.913,54.7397,94.3137,100.201,18.1925,21.175063,184.971,30.535,61.4365,1.033001,8615.999342,1.58204070192418
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-c8,7723.417336
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-Leakage Energy
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
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-c0,0
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-Memory Energy
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-
-c0,0
-
-Memory Time
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
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-c0,0
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-Quantization Energy
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-
-c0,0
-
-Quantization Time
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
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-c0,0
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-c67,198.30001,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,8.309738,27.6217,13.5987,160.813,27.6333,13.5078,14.181538,27.646,13.5936,24.574,26.0654,3.67647,6.990665,49.3767,6.99017,15.5609,0.196023,2500.603024,1.23307910815839
-c68,198.30001,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,8.309738,27.6217,13.5987,160.813,27.6333,13.5078,14.181538,27.646,13.5936,24.574,26.0654,3.67647,6.990665,49.3767,6.99017,15.5609,0.196023,2500.603024,1.23307910815839
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-c71,198.30001,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,8.309738,27.6217,13.5987,160.813,27.6333,13.5078,14.181538,27.646,13.5936,24.574,26.0654,3.67647,6.990665,49.3767,6.99017,15.5609,0.196023,2500.603024,1.23307910815839
-c72,198.30001,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,8.309738,27.6217,13.5987,160.813,27.6333,13.5078,14.181538,27.646,13.5936,24.574,26.0654,3.67647,6.990665,49.3767,6.99017,15.5609,0.196023,2500.603024,1.23307910815839
-c73,198.30001,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,8.309738,27.6217,13.5987,160.813,27.6333,13.5078,14.181538,27.646,13.5936,24.574,26.0654,3.67647,6.990665,49.3767,6.99017,15.5609,0.196023,2500.603024,1.23307910815839
-c74,198.30001,44.208,27.6261,146.888,46.4921,27.6025,243.635,86.3211,54.9261,87.5137,22.6355,15.9996,185.585,40.6227,27.7104,323.448,40.6142,27.2599,282.611,40.5067,26.7374,39.6826,15.3482,7.99351,8.309738,27.6217,13.5987,160.813,27.6333,13.5078,14.181538,27.646,13.5936,24.574,26.0654,3.67647,6.990665,49.3767,6.99017,15.5609,0.196023,2500.603024,1.23307910815839
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-c7,2237.070901
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-Unpatch Energy
-Configuration,Conv1,NML1,NML2,NML3,NML4,NML5,Conv3,NML6,NML7,NML8,NML9,NML10,Conv5,NML11,NML12,NML13,NML14,NML15,Conv7,NML16,NML17,NML18,NML19,NML20,Conv9,NML21,NML22,NML23,NML24,NML25,Conv11,NML26,NML27,NML28,NML29,NML30,Conv13,NML31,NML32,NML33,FC1,Total,Improvement
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diff --git a/hpvm/projects/soc_simulator/mobilenet_shallow/test_conf.txt b/hpvm/projects/soc_simulator/mobilenet_shallow/test_conf.txt
deleted file mode 100644
index 0142d9b480bac8f9f4fe69826d9afecf6ff22f30..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/mobilenet_shallow/test_conf.txt
+++ /dev/null
@@ -1,2 +0,0 @@
-9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9 9
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diff --git a/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_confs1.txt b/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_confs1.txt
deleted file mode 100644
index 8ea283e0a2031578fd063967089b6f6cba54a549..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_confs1.txt
+++ /dev/null
@@ -1,9 +0,0 @@
-9 9,9 9 9,9 9,9 9
-8 8,8 8 8,8 8,8 8
-8 8,8 8 8,8 8,8 8
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diff --git a/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_confs2.txt b/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_confs2.txt
deleted file mode 100644
index 834a35f35200d56d029fda983afeb6aac188c6ec..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_confs2.txt
+++ /dev/null
@@ -1,10 +0,0 @@
-9 9,9 9 9,9 9,9 9
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diff --git a/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_fp16.csv b/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_fp16.csv
deleted file mode 100644
index 2beaa67647d3eac8f2d103e02829ffe3687264ec..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_fp16.csv
+++ /dev/null
@@ -1,27 +0,0 @@
-Add1,32.6334,133.401,91.0356,42.3651,4087.88,2789.67,1298.21,0.30589,1.78751,1.34011,0.538346,42.1225,33.8662,11.5884
-Add1_f2h,150.837,630.018,462.198,167.819,4177.07,3064.48,1112.6,3.34,12.5306,8.92834,3.71182,20.7606,19.9311,3.16457
-Add1_h2f,36.4014,148.497,98.4511,50.0455,4079.39,2704.57,1374.82,0.232494,1.69279,1.38382,0.450555,35.7399,31.9227,8.46863
-ClipRelu1,32.7163,162.53,121.022,41.5078,4967.92,3699.21,1268.71,0.509468,2.88278,2.1792,0.771439,50.356,41.5967,12.18
-ClipRelu1_f2h,146.28,768.006,611.086,156.92,5250.53,4177.78,1072.75,3.35138,15.912,12.4068,3.55674,20.529,19.3936,3.22652
-ClipRelu1_h2f,36.4137,177.541,128.57,48.9711,4875.78,3530.89,1344.88,0.247154,3.76564,2.8014,1.02577,101.77,75.6996,27.7919
-ClipRelu2,33.9773,143.994,89.1194,54.8744,4237.92,2622.89,1615.02,0.358201,1.94994,1.31654,0.703475,32.9941,25.2563,10.9937
-ClipRelu2_f2h,45.9326,186.794,119.276,67.5184,4066.86,2596.9,1469.96,0.535982,2.01803,1.37983,0.80847,31.9019,27.4409,8.03545
-ClipRelu2_h2f,36.3771,153.809,93.3831,60.4256,4228.16,2567.08,1661.09,0.272555,1.57442,1.09211,0.576984,27.6439,21.9052,9.42432
-ClipRelu3,32.7232,158.115,116.963,41.1516,4831.86,3574.3,1257.56,0.305072,2.35216,1.8683,0.53915,53.4613,44.534,10.9329
-ClipRelu3_f2h,164.164,848.865,673.112,175.753,5171.2,4100.61,1070.59,3.58947,15.7511,11.9108,3.87994,20.1933,19.4671,3.41194
-ClipRelu3_h2f,36.4919,173.755,124.9,48.8553,4761.5,3422.69,1338.8,0.203696,1.48147,1.21164,0.365454,33.735,29.09,7.55146
-ClipRelu4,32.7295,118.22,75.8625,42.3577,3612.06,2317.88,1294.18,0.276555,1.37079,0.949542,0.473891,31.4617,23.0321,10.4641
-ClipRelu4_f2h,163.003,595.319,411.376,183.943,3652.48,2524,1128.48,3.34937,10.2919,6.68183,3.72234,18.2987,17.2686,3.28064
-ClipRelu4_h2f,36.6193,132.943,83.2401,49.7026,3630.37,2273.09,1357.27,0.290084,1.45682,1.02302,0.49639,23.3497,18.4425,7.63415
-Conv1,2915.2,13346.4,10579.6,2766.84,4578.36,3629.24,949.121,19.1516,21.5507,9.90059,14.4656,23.7835,21.855,2.90162
-Conv1_f2h,135.389,213.981,45.5551,168.426,1580.59,336.366,1244.22,2.76286,4.12087,1.96844,2.56877,13.6602,9.16935,15.2463
-Conv1_h2f,36.5344,219.647,187.103,32.5449,6012.68,5121.79,890.894,0.35844,3.81895,3.22822,0.598408,117.302,99.2913,18.2
-Conv2,1441.62,6486.13,4951.37,1534.75,4499.3,3434.69,1064.61,7.26356,12.662,11.4595,6.58994,20.9029,19.7516,2.06059
-Conv2_f2h,46.0741,220.445,153.984,66.4611,4784.9,3342.35,1442.55,0.634155,4.11911,2.88656,1.31165,81.2524,58.8475,24.3049
-Conv2_h2f,36.4601,170.807,136.465,34.3419,4684.78,3742.87,941.904,0.250998,1.42323,1.12292,0.309893,24.1214,18.7186,5.77896
-Conv3,2555.58,13947.5,11383.1,2564.39,5457.74,4454.29,1003.45,9.97427,18.0324,15.5434,10.2457,19.44,19.0993,1.46803
-Conv3_f2h,49.4496,206.48,121.717,84.7629,4175.81,2461.68,1714.14,0.747212,2.66778,1.58538,1.30637,32.2439,28.9397,7.96794
-Conv3_h2f,36.6494,221.625,188.876,32.7499,6047.14,5153.55,893.593,0.293397,2.27039,1.92317,0.360122,33.9749,28.4655,6.08276
-Conv4,1291.92,4870.81,3421.82,1448.98,3770.3,2648.72,1121.58,7.14123,18.8651,16.1964,7.55982,20.3334,19.1008,2.49458
-Conv4_f2h,51.784,240.28,166.251,74.0293,4640.36,3210.75,1429.61,0.781657,3.06736,2.07678,1.09645,37.4368,31.5405,8.47733
-Conv4_h2f,36.7521,150.132,114.253,35.879,4084.99,3108.74,976.248,0.253787,1.30348,1.00169,0.314015,22.3553,16.931,5.92274
diff --git a/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_fp32.csv b/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_fp32.csv
deleted file mode 100644
index e790a0bb8ea6443dcfca9f588a5f502aa4aff1f0..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_fp32.csv
+++ /dev/null
@@ -1,9 +0,0 @@
-Add1,36.9674,189.809,150.644,39.1653,5134.5,4075.05,1059.46,0.417224,2.39475,1.88794,0.518749,28.8232,22.4334,7.04925
-ClipRelu1,35.8466,224.605,189.527,35.0779,6266.3,5287.65,978.65,0.364512,4.0914,3.39016,0.708936,123.31,102.442,21.0743
-ClipRelu2,35.6596,186.419,140.926,45.4927,5227.72,3951.98,1275.75,0.363001,2.20865,1.6516,0.571887,31.3186,23.0189,9.04323
-ClipRelu3,35.7018,224.339,189.337,35.0012,6283.64,5303.27,980.364,0.36817,2.76771,2.30071,0.481815,34.9818,28.6265,7.17676
-ClipRelu4,35.7814,168.038,128.569,39.4683,4696.23,3593.19,1103.04,0.344254,1.9021,1.47145,0.444171,29.0004,22.4544,7.22865
-Conv1,3221.85,16081.5,13019.4,3062.09,4991.49,4041.07,950.42,16.1668,28.1619,19.2301,13.2614,19.7491,18.2005,2.65225
-Conv2,1531.77,7672.48,6141.04,1531.44,5008.96,4009.17,999.786,6.88078,12.1701,8.68228,6.44409,18.5451,17.5047,2.29932
-Conv3,2958.33,17316.3,14500,2816.36,5853.44,4901.43,952.008,7.26292,17.3729,14.9615,7.27995,12.8672,12.488,1.42891
-Conv4,1236.26,5658.48,4357.46,1301.02,4577.33,3524.93,1052.4,10.0982,13.1562,7.31823,8.97215,28.8055,27.1761,2.57428
diff --git a/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_layers.txt b/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_layers.txt
deleted file mode 100644
index 10199705ce8b6061351a9018c085549a2d330230..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_layers.txt
+++ /dev/null
@@ -1,4 +0,0 @@
-Conv1,2000,1,240,300,1,1,9,9,1,1
-Conv2,2000,1,240,300,1,1,5,5,1,1
-Conv3,2000,1,240,300,1,1,9,9,1,1
-Conv4,2000,1,240,300,1,1,3,3,1,1
diff --git a/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_ops.txt b/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_ops.txt
deleted file mode 100644
index 0807a77c985bd73c6c538a1259b2ffc44eeda73a..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_ops.txt
+++ /dev/null
@@ -1,13 +0,0 @@
-#Conv1,2
-Conv1
-ClipRelu1
-#Conv2,3
-Conv2
-Add1
-ClipRelu2
-#Conv3,2
-Conv3
-ClipRelu3
-#Conv4,2
-Conv4
-ClipRelu4
diff --git a/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_promise_confs1.txt b/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_promise_confs1.txt
deleted file mode 100644
index 39ea99038c7ed190c73ff101597f7b46ca3ecf46..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_promise_confs1.txt
+++ /dev/null
@@ -1,16 +0,0 @@
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diff --git a/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_promise_confs2.txt b/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_promise_confs2.txt
deleted file mode 100644
index 4a23019eb2d256d728fcd7c6d66a76d5a25c6206..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_promise_confs2.txt
+++ /dev/null
@@ -1,34 +0,0 @@
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diff --git a/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_promise_results1.csv b/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_promise_results1.csv
deleted file mode 100644
index 40a0db161373ec37f4f22800a62a9e942b25d337..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_promise_results1.csv
+++ /dev/null
@@ -1,220 +0,0 @@
-Compute Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
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-c1,13508.93,6763.525,14105.615,5826.518,40204.588,1.186978209584
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-c15,16306.105,8048.708,17540.639,4989.03,46884.482,1.01786279516139
-c10,39367.1
-
-Compute Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,3257.6966,1604.397,2994.0318,1272.0414,9128.1668,0.999999989044898
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diff --git a/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_promise_results2.csv b/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_promise_results2.csv
deleted file mode 100644
index 3762ea7ee951b3a472bd4148816e772b22b8dd67..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_promise_results2.csv
+++ /dev/null
@@ -1,418 +0,0 @@
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diff --git a/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_results1.csv b/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_results1.csv
deleted file mode 100644
index 1e8d11387a221361bf025c7ff0716709f5cd82b0..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_results1.csv
+++ /dev/null
@@ -1,143 +0,0 @@
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-c0,16306.105,8048.708,17540.639,5826.518,47721.97,0.999999997904529
-c1,13722.911,6763.525,14105.615,4989.03,39581.081,1.20567626436055
-c2,13722.911,6763.525,14105.615,4989.03,39581.081,1.20567626436055
-c3,13722.911,8219.515,14312.095,4989.03,41243.551,1.15707713635745
-c4,16306.105,8048.708,17540.639,5826.518,47721.97,0.999999997904529
-c5,16306.105,8048.708,17540.639,5229.31,47124.762,1.0126729106607
-c6,13722.911,8219.515,17540.639,5826.518,45309.583,1.05324231067577
-c7,13722.911,6763.525,14105.615,5976.65,40568.701,1.17632481952941
-c8,13722.911,6763.525,17762.264,5826.518,44075.218,1.08273928200936
-c1,39581.081
-
-Leakage Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
-c1,0,0,0,0,0,0
-c2,0,0,0,0,0,0
-c3,0,0,0,0,0,0
-c4,0,0,0,0,0,0
-c5,0,0,0,0,0,0
-c6,0,0,0,0,0,0
-c7,0,0,0,0,0,0
-c8,0,0,0,0,0,0
-c0,0
-
-Memory Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
-c1,0,0,0,0,0,0
-c2,0,0,0,0,0,0
-c3,0,0,0,0,0,0
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-c6,0,0,0,0,0,0
-c7,0,0,0,0,0,0
-c8,0,0,0,0,0,0
-c0,0
-
-Memory Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
-c1,0,0,0,0,0,0
-c2,0,0,0,0,0,0
-c3,0,0,0,0,0,0
-c4,0,0,0,0,0,0
-c5,0,0,0,0,0,0
-c6,0,0,0,0,0,0
-c7,0,0,0,0,0,0
-c8,0,0,0,0,0,0
-c0,0
-
-Patch Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
-c1,0,0,0,0,0,0
-c2,0,0,0,0,0,0
-c3,0,0,0,0,0,0
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-c5,0,0,0,0,0,0
-c6,0,0,0,0,0,0
-c7,0,0,0,0,0,0
-c8,0,0,0,0,0,0
-c0,0
-
-Quantization Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
-c1,213.981,0,0,0,213.981,0
-c2,213.981,0,0,0,213.981,0
-c3,213.981,170.807,206.48,0,591.268,0
-c4,0,0,0,0,0,0
-c5,0,0,0,240.28,240.28,0
-c6,213.981,170.807,0,0,384.788,0
-c7,213.981,0,0,150.132,364.113,0
-c8,213.981,0,221.625,0,435.606,0
-c0,0
-
-Quantization Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
-c1,135.389,0,0,0,135.389,0
-c2,135.389,0,0,0,135.389,0
-c3,135.389,36.4601,49.4496,0,221.2987,0
-c4,0,0,0,0,0,0
-c5,0,0,0,51.784,51.784,0
-c6,135.389,36.4601,0,0,171.8491,0
-c7,135.389,0,0,36.7521,172.1411,0
-c8,135.389,0,36.6494,0,172.0384,0
-c0,0
-
-Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,3257.6966,1604.397,2994.0318,1272.0414,9128.1668,0.999999989044898
-c1,3083.3053,1508.2307,2588.3032,1324.6495,8504.4887,1.07333515448924
-c2,3083.3053,1508.2307,2588.3032,1324.6495,8504.4887,1.07333515448924
-c3,3083.3053,1640.8571,2637.7528,1324.6495,8686.5647,1.05083735747876
-c4,3257.6966,1604.397,2994.0318,1272.0414,9128.1668,0.999999989044898
-c5,3257.6966,1604.397,2994.0318,1376.4335,9232.5589,0.988693037325838
-c6,3083.3053,1640.8571,2994.0318,1272.0414,8990.2356,1.01534232300495
-c7,3083.3053,1508.2307,2588.3032,1308.7935,8488.6327,1.07534004769296
-c8,3083.3053,1508.2307,3030.6812,1272.0414,8894.2586,1.02629877406197
-c7,8488.6327
-
-Unpatch Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
-c1,0,0,0,0,0,0
-c2,0,0,0,0,0,0
-c3,0,0,0,0,0,0
-c4,0,0,0,0,0,0
-c5,0,0,0,0,0,0
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-c7,0,0,0,0,0,0
-c8,0,0,0,0,0,0
-c0,0
-
diff --git a/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_results2.csv b/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_results2.csv
deleted file mode 100644
index 870bb0106874567d837a62a781422af940cd1631..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_results2.csv
+++ /dev/null
@@ -1,154 +0,0 @@
-Compute Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,16306.105,8048.708,17540.639,5826.518,47721.97,0.999999997904529
-c1,15.343114,6763.525,14105.615,4989.03,25873.513114,1.84443332473991
-c2,15.343114,6763.525,14105.615,4989.03,25873.513114,1.84443332473991
-c3,15.343114,6763.525,17540.639,5826.518,30146.025114,1.58302693841832
-c4,15.343114,8048.708,17540.639,5826.518,31431.208114,1.51829893636554
-c5,15.343114,6763.525,14105.615,4989.03,25873.513114,1.84443332473991
-c6,15.343114,6763.525,14105.615,4989.03,25873.513114,1.84443332473991
-c7,15.343114,8048.708,17540.639,5826.518,31431.208114,1.51829893636554
-c8,15.343114,8048.708,17540.639,5826.518,31431.208114,1.51829893636554
-c9,15.343114,6763.525,14105.615,5826.518,26711.001114,1.78660356523767
-c1,25873.513114
-
-Compute Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,3257.6966,1604.397,2994.0318,1272.0414,9128.1668,0.999999989044898
-c1,7.919790,1508.2307,2588.3032,1324.6495,5429.10319,1.68133968215587
-c2,7.919790,1508.2307,2588.3032,1324.6495,5429.10319,1.68133968215587
-c3,7.919790,1508.2307,2994.0318,1272.0414,5782.22369,1.57866024068224
-c4,7.919790,1604.397,2994.0318,1272.0414,5878.38999,1.55283447682867
-c5,7.919790,1508.2307,2588.3032,1324.6495,5429.10319,1.68133968215587
-c6,7.919790,1508.2307,2588.3032,1324.6495,5429.10319,1.68133968215587
-c7,7.919790,1604.397,2994.0318,1272.0414,5878.38999,1.55283447682867
-c8,7.919790,1604.397,2994.0318,1272.0414,5878.38999,1.55283447682867
-c9,7.919790,1508.2307,2588.3032,1272.0414,5376.49509,1.69779130779805
-c9,5376.49509
-
-Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,16306.105,8048.708,17540.639,5826.518,47721.97,0.999999997904529
-c1,90.458562,6763.525,14105.615,4989.03,25948.628562,1.83909410480276
-c2,90.458562,6763.525,14105.615,4989.03,25948.628562,1.83909410480276
-c3,90.458562,6763.525,17762.264,5826.518,30442.765562,1.56759640467123
-c4,90.458562,8048.708,17540.639,5826.518,31506.323562,1.5146791009945
-c5,90.458562,6763.525,14105.615,4989.03,25948.628562,1.83909410480276
-c6,90.458562,6763.525,14105.615,4989.03,25948.628562,1.83909410480276
-c7,90.458562,8048.708,17540.639,5826.518,31506.323562,1.5146791009945
-c8,90.458562,8048.708,17540.639,5826.518,31506.323562,1.5146791009945
-c9,90.458562,6763.525,14105.615,5976.65,26936.248562,1.77166355266549
-c1,25948.628562
-
-Leakage Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
-c1,28.951489,0,0,0,28.951489,0
-c2,28.951489,0,0,0,28.951489,0
-c3,28.951489,0,0,0,28.951489,0
-c4,28.951489,0,0,0,28.951489,0
-c5,28.951489,0,0,0,28.951489,0
-c6,28.951489,0,0,0,28.951489,0
-c7,28.951489,0,0,0,28.951489,0
-c8,28.951489,0,0,0,28.951489,0
-c9,28.951489,0,0,0,28.951489,0
-c0,0
-
-Memory Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
-c1,46.163959,0,0,0,46.163959,0
-c2,46.163959,0,0,0,46.163959,0
-c3,46.163959,0,0,0,46.163959,0
-c4,46.163959,0,0,0,46.163959,0
-c5,46.163959,0,0,0,46.163959,0
-c6,46.163959,0,0,0,46.163959,0
-c7,46.163959,0,0,0,46.163959,0
-c8,46.163959,0,0,0,46.163959,0
-c9,46.163959,0,0,0,46.163959,0
-c0,0
-
-Memory Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
-c1,10.930367,0,0,0,10.930367,0
-c2,10.930367,0,0,0,10.930367,0
-c3,10.930367,0,0,0,10.930367,0
-c4,10.930367,0,0,0,10.930367,0
-c5,10.930367,0,0,0,10.930367,0
-c6,10.930367,0,0,0,10.930367,0
-c7,10.930367,0,0,0,10.930367,0
-c8,10.930367,0,0,0,10.930367,0
-c9,10.930367,0,0,0,10.930367,0
-c0,0
-
-Patch Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
-c1,0,0,0,0,0,0
-c2,0,0,0,0,0,0
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-c5,0,0,0,0,0,0
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-c8,0,0,0,0,0,0
-c9,0,0,0,0,0,0
-c0,0
-
-Quantization Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
-c1,0,0,0,0,0,0
-c2,0,0,0,0,0,0
-c3,0,0,221.625,0,221.625,0
-c4,0,0,0,0,0,0
-c5,0,0,0,0,0,0
-c6,0,0,0,0,0,0
-c7,0,0,0,0,0,0
-c8,0,0,0,0,0,0
-c9,0,0,0,150.132,150.132,0
-c0,0
-
-Quantization Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
-c1,0,0,0,0,0,0
-c2,0,0,0,0,0,0
-c3,0,0,36.6494,0,36.6494,0
-c4,0,0,0,0,0,0
-c5,0,0,0,0,0,0
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-c8,0,0,0,0,0,0
-c9,0,0,0,36.7521,36.7521,0
-c0,0
-
-Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,3257.6966,1604.397,2994.0318,1272.0414,9128.1668,0.999999989044898
-c1,18.850157,1508.2307,2588.3032,1324.6495,5440.033557,1.67796145677413
-c2,18.850157,1508.2307,2588.3032,1324.6495,5440.033557,1.67796145677413
-c3,18.850157,1508.2307,3030.6812,1272.0414,5829.803457,1.56577605244341
-c4,18.850157,1604.397,2994.0318,1272.0414,5889.320357,1.5499524718765
-c5,18.850157,1508.2307,2588.3032,1324.6495,5440.033557,1.67796145677413
-c6,18.850157,1508.2307,2588.3032,1324.6495,5440.033557,1.67796145677413
-c7,18.850157,1604.397,2994.0318,1272.0414,5889.320357,1.5499524718765
-c8,18.850157,1604.397,2994.0318,1272.0414,5889.320357,1.5499524718765
-c9,18.850157,1508.2307,2588.3032,1308.7935,5424.177557,1.68286648727664
-c9,5424.177557
-
-Unpatch Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
-c1,0,0,0,0,0,0
-c2,0,0,0,0,0,0
-c3,0,0,0,0,0,0
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-c5,0,0,0,0,0,0
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-c0,0
-
diff --git a/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_tensors.txt b/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_tensors.txt
deleted file mode 100644
index 71dce21c4710dee6c0180112e14825189281bce6..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEMO/pipeline_GEMO_tensors.txt
+++ /dev/null
@@ -1,13 +0,0 @@
-#Conv1,2
-Conv1,3221.85,16081.5,2915.2,13346.4,135.389,213.981,36.5344,219.647
-ClipRelu1,35.8466,224.605,32.7163,162.53,146.28,768.006,36.4137,177.541
-#Conv2,3
-Conv2,1531.77,7672.48,1441.62,6486.13,46.0741,220.445,36.4601,170.807
-Add1,36.9674,189.809,32.6334,133.401,150.837,630.018,36.4014,148.497
-ClipRelu2,35.6596,186.419,33.9773,143.994,45.9326,186.794,36.3771,153.809
-#Conv3,2
-Conv3,2958.33,17316.3,2555.58,13947.5,49.4496,206.48,36.6494,221.625
-ClipRelu3,35.7018,224.339,32.7232,158.115,164.164,848.865,36.4919,173.755
-#Conv4,2
-Conv4,1236.26,5658.48,1291.92,4870.81,51.784,240.28,36.7521,150.132
-ClipRelu4,35.7814,168.038,32.7295,118.22,163.003,595.319,36.6193,132.943
diff --git a/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_confs1.txt b/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_confs1.txt
deleted file mode 100644
index 3c5d575879b4b851938894d007277b2e65fcacc4..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_confs1.txt
+++ /dev/null
@@ -1,7 +0,0 @@
-9 9,9 9 9,9 9
-8 8,8 8 8,8 8
-8 8,8 8 8,9 9
-9 9,8 8 8,8 8
-8 8,9 9 9,9 9
-8 8,8 8 8,8 8
-9 9,9 9 9,8 8
diff --git a/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_confs2.txt b/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_confs2.txt
deleted file mode 100644
index 6ebcf19aec794b6fd5bcb2db1348a9bda7df8ee9..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_confs2.txt
+++ /dev/null
@@ -1,7 +0,0 @@
-9 9,9 9 9,9 9
-8 8,8 8 8,9 9
-8 8,8 8 8,8 8
-9 9,9 9 9,9 9
-9 9,9 9 9,8 8
-8 8,9 9 9,8 8
-9 9,8 8 8,8 8
diff --git a/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_fp16.csv b/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_fp16.csv
deleted file mode 100644
index a506b2186159108b62d813ff72c9f5e080517b35..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_fp16.csv
+++ /dev/null
@@ -1,21 +0,0 @@
-Add1,32.6705,133.276,90.8676,42.4081,4079.4,2781.35,1298.05,0.274066,1.81083,1.3749,0.524813,44.8557,36.2428,11.5976
-Add1_f2h,152.652,636.419,466.532,169.887,4169.31,3056.39,1112.92,3.38804,12.9973,9.35441,3.72695,20.7109,19.0044,3.41117
-Add1_h2f,36.4091,148.094,97.9338,50.1598,4067.47,2689.79,1377.67,0.253791,1.95641,1.60863,0.461607,43.3346,38.2765,8.27312
-ClipRelu1,32.6587,162.45,120.933,41.5169,4974.22,3702.98,1271.23,0.330531,2.05041,1.57201,0.558148,43.869,36.143,11.1024
-ClipRelu1_f2h,146.743,769.608,612.403,157.206,5244.94,4173.62,1071.31,2.99355,13.4267,10.3296,3.13177,19.476,18.332,2.95025
-ClipRelu1_h2f,36.4146,177.696,128.645,49.0517,4879.8,3532.76,1347.03,0.279016,1.96727,1.57977,0.479455,37.5859,32.5144,8.48889
-ClipRelu2,34.0918,144.473,89.3027,55.1698,4237.69,2619.43,1618.26,0.352182,2.37489,1.66636,0.820247,49.3303,37.5143,16.197
-ClipRelu2_f2h,45.6929,185.575,118.34,67.2347,4061.46,2589.99,1471.47,0.516908,2.23797,1.56401,0.785261,33.2568,27.0842,8.72852
-ClipRelu2_h2f,36.3378,153.377,92.9806,60.3967,4220.92,2558.82,1662.1,0.172363,1.47966,1.20127,0.437181,40.4136,33.6048,10.527
-ClipRelu3,32.8262,117.875,75.0274,42.8476,3590.86,2285.58,1305.28,0.384277,1.99531,1.51246,0.60442,42.3563,36.5341,9.89428
-ClipRelu3_f2h,163.696,595.184,407.98,187.204,3636.27,2492.66,1143.61,4.28169,13.549,8.69333,4.92486,18.018,17.0336,3.84045
-ClipRelu3_h2f,36.522,132.298,82.3713,49.9263,3622.73,2255.58,1367.15,0.257881,2.4465,1.66724,0.87317,76.2326,50.7005,27.8681
-Conv1,2918.68,13346.8,10575.4,2771.38,4573.05,3623.51,949.542,19.0663,24.1442,11.5013,15.9164,22.9092,21.5007,2.65872
-Conv1_f2h,135.408,213.93,45.3082,168.622,1580.02,334.561,1245.45,3.68648,5.50091,2.08695,4.00579,14.7526,11.0198,13.018
-Conv1_h2f,36.4759,219.457,186.947,32.5105,6016.51,5125.23,891.287,0.249261,1.92932,1.63679,0.307051,34.8454,29.3924,6.0193
-Conv2,1440.02,6478.39,4945.38,1533.01,4498.87,3434.29,1064.58,5.09304,12.7265,13.2649,4.32559,18.6424,17.5201,1.96949
-Conv2_f2h,45.9656,219.948,153.574,66.3745,4785.2,3341.18,1444.02,0.569206,2.71891,1.96107,0.854423,37.0203,30.7544,8.97458
-Conv2_h2f,36.459,170.667,136.354,34.3128,4681.07,3739.93,941.134,0.267004,2.1182,1.68416,0.440793,47.758,38.0809,9.90734
-Conv3,1223.57,4572.94,3095.04,1477.9,3737.52,2529.64,1207.88,8.78168,18.7734,14.433,9.07594,21.7904,19.8837,3.12811
-Conv3_f2h,49.5704,206.506,121.53,84.976,4166.12,2451.84,1714.27,0.66723,2.51126,1.59248,1.12596,33.159,28.3058,8.69624
-Conv3_h2f,36.6344,149.378,113.062,36.3157,4077.55,3086.25,991.301,0.271434,1.29255,0.954645,0.352811,21.212,15.9903,5.95645
diff --git a/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_fp32.csv b/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_fp32.csv
deleted file mode 100644
index 4bd84e896cea5e41ca36173932788c4f289d729e..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_fp32.csv
+++ /dev/null
@@ -1,7 +0,0 @@
-Add1,36.8972,189.335,150.257,39.0772,5131.39,4072.31,1059.08,0.22475,1.5892,1.25644,0.353501,27.5054,21.4014,6.89302
-ClipRelu1,35.8282,224.935,189.773,35.1614,6278.15,5296.76,981.388,0.266349,2.10296,1.76652,0.359258,34.6377,29.1787,6.49807
-ClipRelu2,35.6699,186.473,140.964,45.5092,5227.75,3951.91,1275.84,0.283793,1.78712,1.33686,0.468235,30.0455,22.8704,8.03787
-ClipRelu3,35.6563,165.27,125.599,39.6716,4635.07,3522.47,1112.6,0.291613,1.72066,1.28598,0.444424,26.11,19.6517,6.98899
-Conv1,3222.23,16082.5,13014.3,3068.26,4991.2,4038.98,952.22,15.3047,25.6007,16.0853,15.2341,18.3593,17.1448,3.32665
-Conv2,1532.25,7670.01,6138.24,1531.76,5005.79,4006.1,999.684,6.87238,10.0722,7.16904,6.53694,18.9873,18.0292,2.42076
-Conv3,1164.4,5092.98,3767.29,1325.69,4374.05,3235.53,1138.53,8.17306,13.3788,8.398,7.54984,21.8335,20.1398,2.64523
diff --git a/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_layers.txt b/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_layers.txt
deleted file mode 100644
index b7d5c3cdcc00c398df81022401291a084d3f8ab8..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_layers.txt
+++ /dev/null
@@ -1,3 +0,0 @@
-Conv1,2000,1,240,300,1,1,9,9,1,1
-Conv2,2000,1,240,300,1,1,5,5,1,1
-Conv3,2000,1,240,300,1,1,3,3,1,1
diff --git a/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_ops.txt b/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_ops.txt
deleted file mode 100644
index 7c5a3a1c50a80a638bf569b41f5d3ef2add5f224..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_ops.txt
+++ /dev/null
@@ -1,10 +0,0 @@
-#Conv1,2
-Conv1
-ClipRelu1
-#Conv2,3
-Conv2
-Add1
-ClipRelu2
-#Conv3,2
-Conv3
-ClipRelu3
diff --git a/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_promise_confs1.txt b/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_promise_confs1.txt
deleted file mode 100644
index 0d24c059750ac51d2e5a76925dfc5de8f4e3f059..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_promise_confs1.txt
+++ /dev/null
@@ -1,10 +0,0 @@
-9 9,9 9 9,9 9
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diff --git a/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_promise_confs2.txt b/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_promise_confs2.txt
deleted file mode 100644
index ba2839b706b3718fd6bcf065409164737a878b08..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_promise_confs2.txt
+++ /dev/null
@@ -1,10 +0,0 @@
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diff --git a/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_promise_results1.csv b/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_promise_results1.csv
deleted file mode 100644
index d74e5b5acea78b727e36599c2cecb813971fb82c..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_promise_results1.csv
+++ /dev/null
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diff --git a/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_promise_results2.csv b/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_promise_results2.csv
deleted file mode 100644
index 2f278d260729ab866e55bc325c2b7db70ab87d4b..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_promise_results2.csv
+++ /dev/null
@@ -1,154 +0,0 @@
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diff --git a/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_results1.csv b/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_results1.csv
deleted file mode 100644
index cdda603e1802f9a53b8b54138515783f87671e43..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_results1.csv
+++ /dev/null
@@ -1,121 +0,0 @@
-Compute Energy
-Configuration,Conv1,Conv2,Conv3,Total,Improvement
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-
-Compute Time
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-Energy
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-Leakage Energy
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-Memory Energy
-Configuration,Conv1,Conv2,Conv3,Total,Improvement
-c0,0,0,0,0,0
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-Patch Energy
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-Quantization Energy
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-c1,213.93,0,0,213.93,0
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-Quantization Time
-Configuration,Conv1,Conv2,Conv3,Total,Improvement
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-Time
-Configuration,Conv1,Conv2,Conv3,Total,Improvement
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-Unpatch Energy
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diff --git a/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_results2.csv b/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_results2.csv
deleted file mode 100644
index 3772196ed94a052d40cee85ef52b9566646aa63d..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_results2.csv
+++ /dev/null
@@ -1,121 +0,0 @@
-Compute Energy
-Configuration,Conv1,Conv2,Conv3,Total,Improvement
-c0,16307.435,8045.818,5258.25,29611.503,0.999999996622934
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-c2,24956.204
-
-Compute Time
-Configuration,Conv1,Conv2,Conv3,Total,Improvement
-c0,3258.0582,1604.8171,1200.0563,6062.9316,0.999999983506329
-c1,2951.3387,1506.7823,1200.0563,5658.1773,1.07153437783693
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-
-Energy
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-Leakage Energy
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-c0,0,0,0,0,0
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-Memory Energy
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-Memory Time
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-Patch Energy
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-Quantization Time
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-Time
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-Unpatch Energy
-Configuration,Conv1,Conv2,Conv3,Total,Improvement
-c0,0,0,0,0,0
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diff --git a/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_tensors.txt b/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_tensors.txt
deleted file mode 100644
index 1b0a2e35250a19f38f2c4eb020d2d79038f3b038..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEO/pipeline_GEO_tensors.txt
+++ /dev/null
@@ -1,10 +0,0 @@
-#Conv1,2
-Conv1,3222.23,16082.5,2918.68,13346.8,135.408,213.93,36.4759,219.457
-ClipRelu1,35.8282,224.935,32.6587,162.45,146.743,769.608,36.4146,177.696
-#Conv2,3
-Conv2,1532.25,7670.01,1440.02,6478.39,45.9656,219.948,36.459,170.667
-Add1,36.8972,189.335,32.6705,133.276,152.652,636.419,36.4091,148.094
-ClipRelu2,35.6699,186.473,34.0918,144.473,45.6929,185.575,36.3378,153.377
-#Conv3,2
-Conv3,1164.4,5092.98,1223.57,4572.94,49.5704,206.506,36.6344,149.378
-ClipRelu3,35.6563,165.27,32.8262,117.875,163.696,595.184,36.522,132.298
diff --git a/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_confs1.txt b/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_confs1.txt
deleted file mode 100644
index da21e938c3aab5ec3f870ef5bdce0fb0e6457808..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_confs1.txt
+++ /dev/null
@@ -1,9 +0,0 @@
-9 9,9 9 9,9 9,9 9
-8 8,8 8 8,8 8,7
-8 8,8 8 8,8 8,7
-8 8,8 8 8,9 9,7
-9 9,9 9 9,9 9,7
-8 8,8 8 8,8 8,7
-8 8,8 8 8,8 8,6
-8 8,8 8 8,9 9,6
-9 9,9 9 9,9 9,6
diff --git a/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_confs2.txt b/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_confs2.txt
deleted file mode 100644
index e004da0e84fe4a8f72bf37eccf5c2ce353263551..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_confs2.txt
+++ /dev/null
@@ -1,7 +0,0 @@
-9 9,9 9 9,9 9,9 9
-8 8,8 8 8,8 8,6
-8 8,8 8 8,9 9,6
-9 9,9 9 9,9 9,6
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-8 8,8 8 8,8 8,5
-9 9,9 9 9,9 9,5
diff --git a/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_fp16.csv b/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_fp16.csv
deleted file mode 100644
index 8f1731ca860ca20f23d2c879d4a19031ac96772d..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_fp16.csv
+++ /dev/null
@@ -1,27 +0,0 @@
-Add1,32.585,132.874,90.5805,42.2932,4077.85,2779.91,1297.94,0.267716,1.60873,1.24676,0.493805,44.9777,37.3317,11.3155
-Add1_f2h,152.052,635.102,465.63,169.472,4177.23,3062.65,1114.59,3.70789,13.4672,9.54204,4.05265,24.3579,22.8349,4.12229
-Add1_h2f,36.3936,148.401,98.2724,50.1289,4077.66,2700.25,1377.41,0.24462,1.89046,1.57426,0.469717,42.8092,38.0548,9.49759
-ClipRelu1,32.7405,163.037,121.339,41.6976,4979.72,3706.16,1273.55,0.438457,2.75189,2.11249,0.739841,56.149,47.98,12.1784
-ClipRelu1_f2h,146.657,769.821,612.394,157.427,5249.64,4176.19,1073.45,3.76174,16.813,12.8582,4.0054,23.1617,22.2292,4.05231
-ClipRelu1_h2f,36.3842,177.909,128.755,49.154,4889.74,3538.77,1350.97,0.206959,1.67567,1.40286,0.463424,36.4341,32.4012,10.492
-ClipRelu2,34.0553,144.51,89.3398,55.1703,4243.37,2623.36,1620,0.391793,2.26213,1.54527,0.812253,42.5212,33.0461,13.097
-ClipRelu2_f2h,45.6549,185.567,118.399,67.1677,4064.67,2593.46,1471.21,0.523371,2.17308,1.52455,0.833304,31.5794,27.8107,8.31535
-ClipRelu2_h2f,36.3736,153.724,93.2158,60.5083,4226.21,2562.7,1663.51,0.252782,1.79709,1.32467,0.589658,34.7854,29.0642,9.549
-ClipRelu3,32.7854,118.216,75.162,43.0543,3605.75,2292.56,1313.18,0.506606,3.97908,2.57351,1.46189,107.077,70.5545,38.4207
-ClipRelu3_f2h,165.958,602.927,413.07,189.857,3633.17,2489.15,1144.03,3.02065,10.2904,6.9028,3.47812,25.9071,19.545,7.72569
-ClipRelu3_h2f,36.5443,132.298,82.3714,49.9267,3621.12,2254.57,1366.55,0.600315,1.56585,1.17732,0.515657,68.5219,46.0293,24.9645
-ClipRelu4,32.7184,153.056,112.078,40.9786,4678,3425.53,1252.46,0.154794,1.68025,1.41169,0.366783,47.2146,40.8675,9.29592
-ClipRelu4_f2h,165.584,825.553,648.957,176.596,4986.3,3919.79,1066.5,4.67005,19.877,14.903,5.01446,23.5566,23.11,3.43511
-ClipRelu4_h2f,36.6609,169.727,120.701,49.0256,4629.64,3292.37,1337.27,0.289045,1.92183,1.53364,0.497796,37.7378,32.9471,8.48898
-Conv1,2915.93,13352.1,10576.6,2775.47,4579.12,3627.28,951.839,15.8558,18.3107,9.62974,12.2137,20.0909,18.348,2.75611
-Conv1_f2h,135.06,214.749,45.2804,169.468,1590.14,335.188,1254.95,3.27252,4.99991,2.01686,3.41797,16.3964,10.1737,14.2329
-Conv1_h2f,36.5275,220.001,187.373,32.6287,6022.94,5129.68,893.265,0.32198,2.10465,1.77041,0.358425,31.9138,27.186,5.94593
-Conv2,1440.78,6485.81,4949.68,1536.13,4501.67,3435.49,1066.18,5.5314,12.769,13.1432,5.45702,18.9795,18.0565,2.37007
-Conv2_f2h,45.7961,219.712,153.373,66.339,4797.66,3349.09,1448.57,0.526669,2.73821,2.03676,0.853528,32.5454,29.6105,7.99933
-Conv2_h2f,36.4586,170.747,136.394,34.3529,4683.3,3741.06,942.241,0.257013,1.47757,1.17259,0.319922,23.0558,18.3627,5.39354
-Conv3,1209.29,4559.4,3094.84,1464.56,3770.47,2559.36,1211.1,9.26546,17.9525,14.4448,9.49139,24.2389,22.3724,2.90811
-Conv3_f2h,49.3758,206.121,121.426,84.6944,4174.75,2459.42,1715.33,0.792172,3.13741,2.04183,1.32468,38.1041,33.4828,8.37125
-Conv3_h2f,36.5783,149.412,113.105,36.3067,4084.72,3092.15,992.574,0.207318,1.1695,0.884863,0.308639,23.5563,18.2546,6.207
-Conv4,2636.43,13346.5,10809.1,2537.42,5062.38,4099.94,962.445,9.2555,18.7556,14.6325,10.0121,15.2368,15.0861,1.65147
-Conv4_f2h,52.0572,187.688,112.685,75.0037,3605.8,2164.97,1440.83,1.39581,4.67122,2.79345,2.01277,38.9395,32.0697,10.8245
-Conv4_h2f,36.6862,213.45,180.703,32.7466,5818.23,4925.62,892.61,0.176256,1.64194,1.38908,0.264839,31.3851,26.7179,5.1348
diff --git a/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_fp32.csv b/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_fp32.csv
deleted file mode 100644
index 32c71387d272af1306da6391e268ab0d1e7690c9..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_fp32.csv
+++ /dev/null
@@ -1,9 +0,0 @@
-Add1,36.9761,189.903,150.681,39.2229,5135.79,4075.05,1060.74,0.327484,2.16644,1.67428,0.505853,27.874,21.2818,7.37459
-ClipRelu1,35.896,225.112,189.944,35.1678,6271.16,5291.45,979.702,0.3556,2.8365,2.39001,0.458028,39.0597,32.8052,6.86919
-ClipRelu2,35.8218,187.167,141.441,45.7264,5226.02,3949.26,1276.76,0.560645,3.09466,2.31204,0.794514,103.938,77.8175,26.3982
-ClipRelu3,35.7282,165.939,126.097,39.8416,4644.45,3529.32,1115.12,0.435428,2.30666,1.73936,0.576096,26.442,19.9043,7.12496
-ClipRelu4,35.8348,218.266,183.176,35.0905,6090.92,5111.69,979.23,0.294607,2.10359,1.7505,0.370725,32.8505,27.2303,6.44718
-Conv1,3230.39,16104.1,13023.8,3080.3,4985.31,4031.77,953.548,17.2527,24.4108,13.9864,14.0096,20.57,18.9428,2.87602
-Conv2,1531.88,7675.32,6141.51,1533.8,5010.48,4009.22,1001.26,7.36237,11.0004,7.1979,6.76237,19.5752,18.4653,2.44314
-Conv3,1163.22,5096.2,3770.21,1325.99,4381.36,3241.41,1139.94,10.0955,15.8531,9.13125,10.5922,27.2638,25.85,3.25685
-Conv4,3022.09,16672.3,13850.5,2821.84,5516.86,4583.12,933.739,7.95461,13.8577,12.9997,6.94323,13.4733,12.9753,1.37836
diff --git a/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_layers.txt b/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_layers.txt
deleted file mode 100644
index aa19e9d56f9b6f6d681a08bf5f51a8e6aecd36d8..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_layers.txt
+++ /dev/null
@@ -1,4 +0,0 @@
-Conv1,2000,1,240,300,1,1,9,9,1,1
-Conv2,2000,1,240,300,1,1,5,5,1,1
-Conv3,2000,1,240,300,1,1,3,3,1,1
-Conv4,2000,1,240,300,1,1,9,9,1,1
diff --git a/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_ops.txt b/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_ops.txt
deleted file mode 100644
index 0807a77c985bd73c6c538a1259b2ffc44eeda73a..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_ops.txt
+++ /dev/null
@@ -1,13 +0,0 @@
-#Conv1,2
-Conv1
-ClipRelu1
-#Conv2,3
-Conv2
-Add1
-ClipRelu2
-#Conv3,2
-Conv3
-ClipRelu3
-#Conv4,2
-Conv4
-ClipRelu4
diff --git a/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_promise_confs1.txt b/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_promise_confs1.txt
deleted file mode 100644
index 680259f083a6ec52920bb2ce22dbd0f1a50200b3..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_promise_confs1.txt
+++ /dev/null
@@ -1,46 +0,0 @@
-9 9,9 9 9,9 9,9 9
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diff --git a/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_promise_confs2.txt b/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_promise_confs2.txt
deleted file mode 100644
index 1e0ff4012e24dd4b11fa809d00f55bf49a2d0656..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_promise_confs2.txt
+++ /dev/null
@@ -1,44 +0,0 @@
-9 9,9 9 9,9 9,9 9
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diff --git a/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_promise_results1.csv b/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_promise_results1.csv
deleted file mode 100644
index 282361a378d03d391107aeedc3c70df4d54b21fc..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_promise_results1.csv
+++ /dev/null
@@ -1,550 +0,0 @@
-Compute Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
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-c16,13729.886,8223.137,4883.737,82.701434,26919.461434,1.72864925032865
-c17,13729.886,6763.194,4677.616,13499.556,38670.252,1.20336187309211
-c18,13729.886,8223.137,4883.737,13499.556,40336.316,1.1536578324266
-c19,16329.212,8052.39,4883.737,86.640472,29351.979472,1.58538904968409
-c20,13729.886,6763.194,4677.616,82.701434,25253.397434,1.84269490619424
-c21,13729.886,6763.194,4677.616,81.914898,25252.610898,1.84275230009624
-c22,16329.212,6982.906,4677.616,82.701434,28072.435434,1.65765121959724
-c23,13729.886,6763.194,4677.616,86.640472,25257.336472,1.84240752651597
-c24,13729.886,6763.194,5411.551,82.701434,25987.332434,1.79065346314855
-c25,13729.886,8223.137,5262.139,16890.566,44105.728,1.05506266429825
-c26,13729.886,8223.137,4883.737,17104.016,43940.776,1.05902332935808
-c27,13729.886,6763.194,4677.616,90.458562,25261.154562,1.84212905635707
-c28,13729.886,6763.194,5411.551,81.914898,25986.545898,1.79070766094045
-c29,13729.886,6763.194,4677.616,17104.016,42274.712,1.10075987956876
-c30,16329.212,6982.906,4677.616,86.640472,28076.374472,1.65741865569808
-c31,16329.212,8052.39,4883.737,82.701434,29348.040434,1.58560183757718
-c32,13729.886,8223.137,4883.737,90.458562,26927.218562,1.72815126523519
-c33,16329.212,8052.39,5262.139,16890.566,46534.307,0.999999997851048
-c34,16329.212,6982.906,4677.616,90.458562,28080.192562,1.6571932949368
-c35,13729.886,6763.194,5411.551,13687.244,39591.875,1.17534991415448
-c36,13729.886,8223.137,5262.139,13687.244,40902.406,1.13769118829418
-c37,13729.886,8223.137,4883.737,81.914898,26918.674898,1.72869975968198
-c38,13729.886,6763.194,5411.551,90.458562,25995.089562,1.79011911884361
-c39,16329.212,8052.39,5262.139,86.640472,29730.381472,1.56521055363198
-c40,13729.886,6763.194,5411.551,16890.566,42795.197,1.08737218551098
-c41,13729.886,8223.137,5262.139,82.701434,27297.863434,1.70468677675235
-c42,16329.212,6982.906,5411.551,16890.566,45614.235,1.02017071859219
-c43,16329.212,6982.906,5411.551,90.458562,28814.127562,1.6149823290111
-c44,16329.212,6982.906,4677.616,81.914898,28071.648898,1.65769766511812
-c45,16329.212,8052.39,4883.737,81.914898,29347.253898,1.5856443333053
-c2,25250.857512
-
-Leakage Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
-c1,0,0,0,28.951489,28.951489,0
-c2,0,0,0,28.951489,28.951489,0
-c3,0,0,0,28.951489,28.951489,0
-c4,0,0,0,28.951489,28.951489,0
-c5,0,0,0,28.951489,28.951489,0
-c6,0,0,0,28.951489,28.951489,0
-c7,0,0,0,28.951489,28.951489,0
-c8,0,0,0,28.951489,28.951489,0
-c9,0,0,0,28.951489,28.951489,0
-c10,0,0,0,0,0,0
-c11,0,0,0,28.951489,28.951489,0
-c12,0,0,0,28.951489,28.951489,0
-c13,0,0,0,28.951489,28.951489,0
-c14,0,0,0,28.951489,28.951489,0
-c15,0,0,0,28.951489,28.951489,0
-c16,0,0,0,28.951489,28.951489,0
-c17,0,0,0,0,0,0
-c18,0,0,0,0,0,0
-c19,0,0,0,28.951489,28.951489,0
-c20,0,0,0,28.951489,28.951489,0
-c21,0,0,0,28.951489,28.951489,0
-c22,0,0,0,28.951489,28.951489,0
-c23,0,0,0,28.951489,28.951489,0
-c24,0,0,0,28.951489,28.951489,0
-c25,0,0,0,0,0,0
-c26,0,0,0,0,0,0
-c27,0,0,0,28.951489,28.951489,0
-c28,0,0,0,28.951489,28.951489,0
-c29,0,0,0,0,0,0
-c30,0,0,0,28.951489,28.951489,0
-c31,0,0,0,28.951489,28.951489,0
-c32,0,0,0,28.951489,28.951489,0
-c33,0,0,0,0,0,0
-c34,0,0,0,28.951489,28.951489,0
-c35,0,0,0,0,0,0
-c36,0,0,0,0,0,0
-c37,0,0,0,28.951489,28.951489,0
-c38,0,0,0,28.951489,28.951489,0
-c39,0,0,0,28.951489,28.951489,0
-c40,0,0,0,0,0,0
-c41,0,0,0,28.951489,28.951489,0
-c42,0,0,0,0,0,0
-c43,0,0,0,28.951489,28.951489,0
-c44,0,0,0,28.951489,28.951489,0
-c45,0,0,0,28.951489,28.951489,0
-c0,0
-
-Memory Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
-c1,0,0,0,46.163959,46.163959,0
-c2,0,0,0,46.163959,46.163959,0
-c3,0,0,0,46.163959,46.163959,0
-c4,0,0,0,46.163959,46.163959,0
-c5,0,0,0,46.163959,46.163959,0
-c6,0,0,0,46.163959,46.163959,0
-c7,0,0,0,46.163959,46.163959,0
-c8,0,0,0,46.163959,46.163959,0
-c9,0,0,0,46.163959,46.163959,0
-c10,0,0,0,0,0,0
-c11,0,0,0,46.163959,46.163959,0
-c12,0,0,0,46.163959,46.163959,0
-c13,0,0,0,46.163959,46.163959,0
-c14,0,0,0,46.163959,46.163959,0
-c15,0,0,0,46.163959,46.163959,0
-c16,0,0,0,46.163959,46.163959,0
-c17,0,0,0,0,0,0
-c18,0,0,0,0,0,0
-c19,0,0,0,46.163959,46.163959,0
-c20,0,0,0,46.163959,46.163959,0
-c21,0,0,0,46.163959,46.163959,0
-c22,0,0,0,46.163959,46.163959,0
-c23,0,0,0,46.163959,46.163959,0
-c24,0,0,0,46.163959,46.163959,0
-c25,0,0,0,0,0,0
-c26,0,0,0,0,0,0
-c27,0,0,0,46.163959,46.163959,0
-c28,0,0,0,46.163959,46.163959,0
-c29,0,0,0,0,0,0
-c30,0,0,0,46.163959,46.163959,0
-c31,0,0,0,46.163959,46.163959,0
-c32,0,0,0,46.163959,46.163959,0
-c33,0,0,0,0,0,0
-c34,0,0,0,46.163959,46.163959,0
-c35,0,0,0,0,0,0
-c36,0,0,0,0,0,0
-c37,0,0,0,46.163959,46.163959,0
-c38,0,0,0,46.163959,46.163959,0
-c39,0,0,0,46.163959,46.163959,0
-c40,0,0,0,0,0,0
-c41,0,0,0,46.163959,46.163959,0
-c42,0,0,0,0,0,0
-c43,0,0,0,46.163959,46.163959,0
-c44,0,0,0,46.163959,46.163959,0
-c45,0,0,0,46.163959,46.163959,0
-c0,0
-
-Memory Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
-c1,0,0,0,10.930367,10.930367,0
-c2,0,0,0,10.930367,10.930367,0
-c3,0,0,0,10.930367,10.930367,0
-c4,0,0,0,10.930367,10.930367,0
-c5,0,0,0,10.930367,10.930367,0
-c6,0,0,0,10.930367,10.930367,0
-c7,0,0,0,10.930367,10.930367,0
-c8,0,0,0,10.930367,10.930367,0
-c9,0,0,0,10.930367,10.930367,0
-c10,0,0,0,0,0,0
-c11,0,0,0,10.930367,10.930367,0
-c12,0,0,0,10.930367,10.930367,0
-c13,0,0,0,10.930367,10.930367,0
-c14,0,0,0,10.930367,10.930367,0
-c15,0,0,0,10.930367,10.930367,0
-c16,0,0,0,10.930367,10.930367,0
-c17,0,0,0,0,0,0
-c18,0,0,0,0,0,0
-c19,0,0,0,10.930367,10.930367,0
-c20,0,0,0,10.930367,10.930367,0
-c21,0,0,0,10.930367,10.930367,0
-c22,0,0,0,10.930367,10.930367,0
-c23,0,0,0,10.930367,10.930367,0
-c24,0,0,0,10.930367,10.930367,0
-c25,0,0,0,0,0,0
-c26,0,0,0,0,0,0
-c27,0,0,0,10.930367,10.930367,0
-c28,0,0,0,10.930367,10.930367,0
-c29,0,0,0,0,0,0
-c30,0,0,0,10.930367,10.930367,0
-c31,0,0,0,10.930367,10.930367,0
-c32,0,0,0,10.930367,10.930367,0
-c33,0,0,0,0,0,0
-c34,0,0,0,10.930367,10.930367,0
-c35,0,0,0,0,0,0
-c36,0,0,0,0,0,0
-c37,0,0,0,10.930367,10.930367,0
-c38,0,0,0,10.930367,10.930367,0
-c39,0,0,0,10.930367,10.930367,0
-c40,0,0,0,0,0,0
-c41,0,0,0,10.930367,10.930367,0
-c42,0,0,0,0,0,0
-c43,0,0,0,10.930367,10.930367,0
-c44,0,0,0,10.930367,10.930367,0
-c45,0,0,0,10.930367,10.930367,0
-c0,0
-
-Patch Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
-c1,0,0,0,0,0,0
-c2,0,0,0,0,0,0
-c3,0,0,0,0,0,0
-c4,0,0,0,0,0,0
-c5,0,0,0,0,0,0
-c6,0,0,0,0,0,0
-c7,0,0,0,0,0,0
-c8,0,0,0,0,0,0
-c9,0,0,0,0,0,0
-c10,0,0,0,0,0,0
-c11,0,0,0,0,0,0
-c12,0,0,0,0,0,0
-c13,0,0,0,0,0,0
-c14,0,0,0,0,0,0
-c15,0,0,0,0,0,0
-c16,0,0,0,0,0,0
-c17,0,0,0,0,0,0
-c18,0,0,0,0,0,0
-c19,0,0,0,0,0,0
-c20,0,0,0,0,0,0
-c21,0,0,0,0,0,0
-c22,0,0,0,0,0,0
-c23,0,0,0,0,0,0
-c24,0,0,0,0,0,0
-c25,0,0,0,0,0,0
-c26,0,0,0,0,0,0
-c27,0,0,0,0,0,0
-c28,0,0,0,0,0,0
-c29,0,0,0,0,0,0
-c30,0,0,0,0,0,0
-c31,0,0,0,0,0,0
-c32,0,0,0,0,0,0
-c33,0,0,0,0,0,0
-c34,0,0,0,0,0,0
-c35,0,0,0,0,0,0
-c36,0,0,0,0,0,0
-c37,0,0,0,0,0,0
-c38,0,0,0,0,0,0
-c39,0,0,0,0,0,0
-c40,0,0,0,0,0,0
-c41,0,0,0,0,0,0
-c42,0,0,0,0,0,0
-c43,0,0,0,0,0,0
-c44,0,0,0,0,0,0
-c45,0,0,0,0,0,0
-c0,0
-
-Quantization Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
-c1,214.749,0,149.412,0,364.161,0
-c2,214.749,0,0,0,214.749,0
-c3,214.749,170.747,0,0,385.496,0
-c4,214.749,0,0,0,214.749,0
-c5,214.749,170.747,206.121,0,591.617,0
-c6,0,0,206.121,0,206.121,0
-c7,0,0,0,0,0,0
-c8,0,219.712,0,0,219.712,0
-c9,0,219.712,149.412,0,369.124,0
-c10,214.749,170.747,0,187.688,573.184,0
-c11,214.749,170.747,0,0,385.496,0
-c12,214.749,170.747,206.121,0,591.617,0
-c13,214.749,170.747,0,0,385.496,0
-c14,214.749,170.747,0,0,385.496,0
-c15,214.749,0,149.412,0,364.161,0
-c16,214.749,170.747,206.121,0,591.617,0
-c17,214.749,0,0,0,214.749,0
-c18,214.749,170.747,206.121,0,591.617,0
-c19,0,0,206.121,0,206.121,0
-c20,214.749,0,0,0,214.749,0
-c21,214.749,0,0,0,214.749,0
-c22,0,219.712,0,0,219.712,0
-c23,214.749,0,0,0,214.749,0
-c24,214.749,0,149.412,0,364.161,0
-c25,214.749,170.747,0,0,385.496,0
-c26,214.749,170.747,206.121,213.45,805.067,0
-c27,214.749,0,0,0,214.749,0
-c28,214.749,0,149.412,0,364.161,0
-c29,214.749,0,0,213.45,428.199,0
-c30,0,219.712,0,0,219.712,0
-c31,0,0,206.121,0,206.121,0
-c32,214.749,170.747,206.121,0,591.617,0
-c33,0,0,0,0,0,0
-c34,0,219.712,0,0,219.712,0
-c35,214.749,0,149.412,187.688,551.849,0
-c36,214.749,170.747,0,187.688,573.184,0
-c37,214.749,170.747,206.121,0,591.617,0
-c38,214.749,0,149.412,0,364.161,0
-c39,0,0,0,0,0,0
-c40,214.749,0,149.412,0,364.161,0
-c41,214.749,170.747,0,0,385.496,0
-c42,0,219.712,149.412,0,369.124,0
-c43,0,219.712,149.412,0,369.124,0
-c44,0,219.712,0,0,219.712,0
-c45,0,0,206.121,0,206.121,0
-c0,0
-
-Quantization Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
-c1,135.06,0,36.5783,0,171.6383,0
-c2,135.06,0,0,0,135.06,0
-c3,135.06,36.4586,0,0,171.5186,0
-c4,135.06,0,0,0,135.06,0
-c5,135.06,36.4586,49.3758,0,220.8944,0
-c6,0,0,49.3758,0,49.3758,0
-c7,0,0,0,0,0,0
-c8,0,45.7961,0,0,45.7961,0
-c9,0,45.7961,36.5783,0,82.3744,0
-c10,135.06,36.4586,0,52.0572,223.5758,0
-c11,135.06,36.4586,0,0,171.5186,0
-c12,135.06,36.4586,49.3758,0,220.8944,0
-c13,135.06,36.4586,0,0,171.5186,0
-c14,135.06,36.4586,0,0,171.5186,0
-c15,135.06,0,36.5783,0,171.6383,0
-c16,135.06,36.4586,49.3758,0,220.8944,0
-c17,135.06,0,0,0,135.06,0
-c18,135.06,36.4586,49.3758,0,220.8944,0
-c19,0,0,49.3758,0,49.3758,0
-c20,135.06,0,0,0,135.06,0
-c21,135.06,0,0,0,135.06,0
-c22,0,45.7961,0,0,45.7961,0
-c23,135.06,0,0,0,135.06,0
-c24,135.06,0,36.5783,0,171.6383,0
-c25,135.06,36.4586,0,0,171.5186,0
-c26,135.06,36.4586,49.3758,36.6862,257.5806,0
-c27,135.06,0,0,0,135.06,0
-c28,135.06,0,36.5783,0,171.6383,0
-c29,135.06,0,0,36.6862,171.7462,0
-c30,0,45.7961,0,0,45.7961,0
-c31,0,0,49.3758,0,49.3758,0
-c32,135.06,36.4586,49.3758,0,220.8944,0
-c33,0,0,0,0,0,0
-c34,0,45.7961,0,0,45.7961,0
-c35,135.06,0,36.5783,52.0572,223.6955,0
-c36,135.06,36.4586,0,52.0572,223.5758,0
-c37,135.06,36.4586,49.3758,0,220.8944,0
-c38,135.06,0,36.5783,0,171.6383,0
-c39,0,0,0,0,0,0
-c40,135.06,0,36.5783,0,171.6383,0
-c41,135.06,36.4586,0,0,171.5186,0
-c42,0,45.7961,36.5783,0,82.3744,0
-c43,0,45.7961,36.5783,0,82.3744,0
-c44,0,45.7961,0,0,45.7961,0
-c45,0,0,49.3758,0,49.3758,0
-c0,0
-
-Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,3266.286,1604.6779,1198.9482,3057.9248,9127.8369,0.999999989044502
-c1,3083.7305,1507.4203,1235.5265,18.850157,5845.527457,1.5615078042134
-c2,3083.7305,1507.4203,1242.0754,18.850157,5852.076357,1.5597603631924
-c3,3083.7305,1641.1365,1198.9482,18.850157,5942.665357,1.53598363664374
-c4,3083.7305,1507.4203,1242.0754,18.850157,5852.076357,1.5597603631924
-c5,3083.7305,1641.1365,1291.4512,18.850157,6035.168357,1.51244111329037
-c6,3266.286,1604.6779,1291.4512,18.850157,6181.265257,1.47669390858025
-c7,3266.286,1604.6779,1198.9482,18.850157,6088.762257,1.49912845416049
-c8,3266.286,1553.2164,1242.0754,18.850157,6080.427957,1.50118327434065
-c9,3266.286,1553.2164,1235.5265,18.850157,6073.879057,1.50280186089649
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diff --git a/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_promise_results2.csv b/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_promise_results2.csv
deleted file mode 100644
index 76a1c5a4797a1520feee8c0c017c483778f867c7..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_promise_results2.csv
+++ /dev/null
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-c43,13729.886,8223.137,4883.737,90.458562,26927.218562,1.72815126523519
-c29,25250.374726
-
-Leakage Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
-c1,0,0,0,28.951489,28.951489,0
-c2,0,0,0,0,0,0
-c3,0,0,0,28.951489,28.951489,0
-c4,0,0,0,28.951489,28.951489,0
-c5,0,0,0,28.951489,28.951489,0
-c6,0,0,0,28.951489,28.951489,0
-c7,0,0,0,0,0,0
-c8,0,0,0,0,0,0
-c9,0,0,0,0,0,0
-c10,0,0,0,28.951489,28.951489,0
-c11,0,0,0,28.951489,28.951489,0
-c12,0,0,0,28.951489,28.951489,0
-c13,0,0,0,28.951489,28.951489,0
-c14,0,0,0,0,0,0
-c15,0,0,0,28.951489,28.951489,0
-c16,0,0,0,0,0,0
-c17,0,0,0,0,0,0
-c18,0,0,0,28.951489,28.951489,0
-c19,0,0,0,28.951489,28.951489,0
-c20,0,0,0,0,0,0
-c21,0,0,0,28.951489,28.951489,0
-c22,0,0,0,28.951489,28.951489,0
-c23,0,0,0,28.951489,28.951489,0
-c24,0,0,0,28.951489,28.951489,0
-c25,0,0,0,28.951489,28.951489,0
-c26,0,0,0,28.951489,28.951489,0
-c27,0,0,0,28.951489,28.951489,0
-c28,0,0,0,0,0,0
-c29,0,0,0,28.951489,28.951489,0
-c30,0,0,0,28.951489,28.951489,0
-c31,0,0,0,28.951489,28.951489,0
-c32,0,0,0,28.951489,28.951489,0
-c33,0,0,0,28.951489,28.951489,0
-c34,0,0,0,28.951489,28.951489,0
-c35,0,0,0,28.951489,28.951489,0
-c36,0,0,0,28.951489,28.951489,0
-c37,0,0,0,28.951489,28.951489,0
-c38,0,0,0,28.951489,28.951489,0
-c39,0,0,0,28.951489,28.951489,0
-c40,0,0,0,28.951489,28.951489,0
-c41,0,0,0,28.951489,28.951489,0
-c42,0,0,0,28.951489,28.951489,0
-c43,0,0,0,28.951489,28.951489,0
-c0,0
-
-Memory Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
-c1,0,0,0,46.163959,46.163959,0
-c2,0,0,0,0,0,0
-c3,0,0,0,46.163959,46.163959,0
-c4,0,0,0,46.163959,46.163959,0
-c5,0,0,0,46.163959,46.163959,0
-c6,0,0,0,46.163959,46.163959,0
-c7,0,0,0,0,0,0
-c8,0,0,0,0,0,0
-c9,0,0,0,0,0,0
-c10,0,0,0,46.163959,46.163959,0
-c11,0,0,0,46.163959,46.163959,0
-c12,0,0,0,46.163959,46.163959,0
-c13,0,0,0,46.163959,46.163959,0
-c14,0,0,0,0,0,0
-c15,0,0,0,46.163959,46.163959,0
-c16,0,0,0,0,0,0
-c17,0,0,0,0,0,0
-c18,0,0,0,46.163959,46.163959,0
-c19,0,0,0,46.163959,46.163959,0
-c20,0,0,0,0,0,0
-c21,0,0,0,46.163959,46.163959,0
-c22,0,0,0,46.163959,46.163959,0
-c23,0,0,0,46.163959,46.163959,0
-c24,0,0,0,46.163959,46.163959,0
-c25,0,0,0,46.163959,46.163959,0
-c26,0,0,0,46.163959,46.163959,0
-c27,0,0,0,46.163959,46.163959,0
-c28,0,0,0,0,0,0
-c29,0,0,0,46.163959,46.163959,0
-c30,0,0,0,46.163959,46.163959,0
-c31,0,0,0,46.163959,46.163959,0
-c32,0,0,0,46.163959,46.163959,0
-c33,0,0,0,46.163959,46.163959,0
-c34,0,0,0,46.163959,46.163959,0
-c35,0,0,0,46.163959,46.163959,0
-c36,0,0,0,46.163959,46.163959,0
-c37,0,0,0,46.163959,46.163959,0
-c38,0,0,0,46.163959,46.163959,0
-c39,0,0,0,46.163959,46.163959,0
-c40,0,0,0,46.163959,46.163959,0
-c41,0,0,0,46.163959,46.163959,0
-c42,0,0,0,46.163959,46.163959,0
-c43,0,0,0,46.163959,46.163959,0
-c0,0
-
-Memory Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
-c1,0,0,0,10.930367,10.930367,0
-c2,0,0,0,0,0,0
-c3,0,0,0,10.930367,10.930367,0
-c4,0,0,0,10.930367,10.930367,0
-c5,0,0,0,10.930367,10.930367,0
-c6,0,0,0,10.930367,10.930367,0
-c7,0,0,0,0,0,0
-c8,0,0,0,0,0,0
-c9,0,0,0,0,0,0
-c10,0,0,0,10.930367,10.930367,0
-c11,0,0,0,10.930367,10.930367,0
-c12,0,0,0,10.930367,10.930367,0
-c13,0,0,0,10.930367,10.930367,0
-c14,0,0,0,0,0,0
-c15,0,0,0,10.930367,10.930367,0
-c16,0,0,0,0,0,0
-c17,0,0,0,0,0,0
-c18,0,0,0,10.930367,10.930367,0
-c19,0,0,0,10.930367,10.930367,0
-c20,0,0,0,0,0,0
-c21,0,0,0,10.930367,10.930367,0
-c22,0,0,0,10.930367,10.930367,0
-c23,0,0,0,10.930367,10.930367,0
-c24,0,0,0,10.930367,10.930367,0
-c25,0,0,0,10.930367,10.930367,0
-c26,0,0,0,10.930367,10.930367,0
-c27,0,0,0,10.930367,10.930367,0
-c28,0,0,0,0,0,0
-c29,0,0,0,10.930367,10.930367,0
-c30,0,0,0,10.930367,10.930367,0
-c31,0,0,0,10.930367,10.930367,0
-c32,0,0,0,10.930367,10.930367,0
-c33,0,0,0,10.930367,10.930367,0
-c34,0,0,0,10.930367,10.930367,0
-c35,0,0,0,10.930367,10.930367,0
-c36,0,0,0,10.930367,10.930367,0
-c37,0,0,0,10.930367,10.930367,0
-c38,0,0,0,10.930367,10.930367,0
-c39,0,0,0,10.930367,10.930367,0
-c40,0,0,0,10.930367,10.930367,0
-c41,0,0,0,10.930367,10.930367,0
-c42,0,0,0,10.930367,10.930367,0
-c43,0,0,0,10.930367,10.930367,0
-c0,0
-
-Patch Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
-c1,0,0,0,0,0,0
-c2,0,0,0,0,0,0
-c3,0,0,0,0,0,0
-c4,0,0,0,0,0,0
-c5,0,0,0,0,0,0
-c6,0,0,0,0,0,0
-c7,0,0,0,0,0,0
-c8,0,0,0,0,0,0
-c9,0,0,0,0,0,0
-c10,0,0,0,0,0,0
-c11,0,0,0,0,0,0
-c12,0,0,0,0,0,0
-c13,0,0,0,0,0,0
-c14,0,0,0,0,0,0
-c15,0,0,0,0,0,0
-c16,0,0,0,0,0,0
-c17,0,0,0,0,0,0
-c18,0,0,0,0,0,0
-c19,0,0,0,0,0,0
-c20,0,0,0,0,0,0
-c21,0,0,0,0,0,0
-c22,0,0,0,0,0,0
-c23,0,0,0,0,0,0
-c24,0,0,0,0,0,0
-c25,0,0,0,0,0,0
-c26,0,0,0,0,0,0
-c27,0,0,0,0,0,0
-c28,0,0,0,0,0,0
-c29,0,0,0,0,0,0
-c30,0,0,0,0,0,0
-c31,0,0,0,0,0,0
-c32,0,0,0,0,0,0
-c33,0,0,0,0,0,0
-c34,0,0,0,0,0,0
-c35,0,0,0,0,0,0
-c36,0,0,0,0,0,0
-c37,0,0,0,0,0,0
-c38,0,0,0,0,0,0
-c39,0,0,0,0,0,0
-c40,0,0,0,0,0,0
-c41,0,0,0,0,0,0
-c42,0,0,0,0,0,0
-c43,0,0,0,0,0,0
-c0,0
-
-Quantization Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
-c1,214.749,0,0,0,214.749,0
-c2,0,0,0,0,0,0
-c3,0,219.712,0,0,219.712,0
-c4,214.749,0,0,0,214.749,0
-c5,214.749,0,0,0,214.749,0
-c6,214.749,0,0,0,214.749,0
-c7,214.749,170.747,206.121,213.45,805.067,0
-c8,214.749,170.747,206.121,0,591.617,0
-c9,0,219.712,0,0,219.712,0
-c10,214.749,0,149.412,0,364.161,0
-c11,214.749,170.747,206.121,0,591.617,0
-c12,0,0,206.121,0,206.121,0
-c13,214.749,170.747,0,0,385.496,0
-c14,214.749,0,149.412,0,364.161,0
-c15,214.749,0,149.412,0,364.161,0
-c16,0,219.712,149.412,0,369.124,0
-c17,214.749,0,0,213.45,428.199,0
-c18,214.749,0,0,0,214.749,0
-c19,214.749,0,149.412,0,364.161,0
-c20,214.749,0,0,0,214.749,0
-c21,214.749,0,0,0,214.749,0
-c22,0,219.712,0,0,219.712,0
-c23,214.749,170.747,0,0,385.496,0
-c24,0,219.712,0,0,219.712,0
-c25,214.749,170.747,206.121,0,591.617,0
-c26,0,219.712,149.412,0,369.124,0
-c27,0,219.712,149.412,0,369.124,0
-c28,0,0,206.121,0,206.121,0
-c29,214.749,0,0,0,214.749,0
-c30,214.749,0,149.412,0,364.161,0
-c31,214.749,0,149.412,0,364.161,0
-c32,0,0,0,0,0,0
-c33,0,0,0,0,0,0
-c34,214.749,0,149.412,0,364.161,0
-c35,214.749,170.747,0,0,385.496,0
-c36,214.749,170.747,0,0,385.496,0
-c37,0,0,0,0,0,0
-c38,214.749,170.747,206.121,0,591.617,0
-c39,214.749,170.747,0,0,385.496,0
-c40,0,219.712,149.412,0,369.124,0
-c41,214.749,170.747,206.121,0,591.617,0
-c42,214.749,170.747,206.121,0,591.617,0
-c43,214.749,170.747,206.121,0,591.617,0
-c0,0
-
-Quantization Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
-c1,135.06,0,0,0,135.06,0
-c2,0,0,0,0,0,0
-c3,0,45.7961,0,0,45.7961,0
-c4,135.06,0,0,0,135.06,0
-c5,135.06,0,0,0,135.06,0
-c6,135.06,0,0,0,135.06,0
-c7,135.06,36.4586,49.3758,36.6862,257.5806,0
-c8,135.06,36.4586,49.3758,0,220.8944,0
-c9,0,45.7961,0,0,45.7961,0
-c10,135.06,0,36.5783,0,171.6383,0
-c11,135.06,36.4586,49.3758,0,220.8944,0
-c12,0,0,49.3758,0,49.3758,0
-c13,135.06,36.4586,0,0,171.5186,0
-c14,135.06,0,36.5783,0,171.6383,0
-c15,135.06,0,36.5783,0,171.6383,0
-c16,0,45.7961,36.5783,0,82.3744,0
-c17,135.06,0,0,36.6862,171.7462,0
-c18,135.06,0,0,0,135.06,0
-c19,135.06,0,36.5783,0,171.6383,0
-c20,135.06,0,0,0,135.06,0
-c21,135.06,0,0,0,135.06,0
-c22,0,45.7961,0,0,45.7961,0
-c23,135.06,36.4586,0,0,171.5186,0
-c24,0,45.7961,0,0,45.7961,0
-c25,135.06,36.4586,49.3758,0,220.8944,0
-c26,0,45.7961,36.5783,0,82.3744,0
-c27,0,45.7961,36.5783,0,82.3744,0
-c28,0,0,49.3758,0,49.3758,0
-c29,135.06,0,0,0,135.06,0
-c30,135.06,0,36.5783,0,171.6383,0
-c31,135.06,0,36.5783,0,171.6383,0
-c32,0,0,0,0,0,0
-c33,0,0,0,0,0,0
-c34,135.06,0,36.5783,0,171.6383,0
-c35,135.06,36.4586,0,0,171.5186,0
-c36,135.06,36.4586,0,0,171.5186,0
-c37,0,0,0,0,0,0
-c38,135.06,36.4586,49.3758,0,220.8944,0
-c39,135.06,36.4586,0,0,171.5186,0
-c40,0,45.7961,36.5783,0,82.3744,0
-c41,135.06,36.4586,49.3758,0,220.8944,0
-c42,135.06,36.4586,49.3758,0,220.8944,0
-c43,135.06,36.4586,49.3758,0,220.8944,0
-c0,0
-
-Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,3266.286,1604.6779,1198.9482,3057.9248,9127.8369,0.999999989044502
-c1,3083.7305,1507.4203,1242.0754,18.850157,5852.076357,1.5597603631924
-c2,3266.286,1604.6779,1198.9482,3057.9248,9127.8369,0.999999989044502
-c3,3266.286,1553.2164,1242.0754,18.850157,6080.427957,1.50118327434065
-c4,3083.7305,1507.4203,1242.0754,18.850157,5852.076357,1.5597603631924
-c5,3083.7305,1507.4203,1242.0754,18.850157,5852.076357,1.5597603631924
-c6,3083.7305,1507.4203,1242.0754,18.850157,5852.076357,1.5597603631924
-c7,3083.7305,1641.1365,1291.4512,3094.611,9110.9292,1.00185574922637
-c8,3083.7305,1641.1365,1291.4512,2669.1484,8685.4666,1.05093223142517
-c9,3266.286,1553.2164,1242.0754,2669.1484,8730.7262,1.04548425713448
-c10,3083.7305,1507.4203,1235.5265,18.850157,5845.527457,1.5615078042134
-c11,3083.7305,1641.1365,1291.4512,18.850157,6035.168357,1.51244111329037
-c12,3266.286,1604.6779,1291.4512,18.850157,6181.265257,1.47669390858025
-c13,3083.7305,1641.1365,1198.9482,18.850157,5942.665357,1.53598363664374
-c14,3083.7305,1507.4203,1235.5265,3057.9248,8884.6021,1.02737710642802
-c15,3083.7305,1507.4203,1235.5265,18.850157,5845.527457,1.5615078042134
-c16,3266.286,1553.2164,1235.5265,3057.9248,9112.9537,1.00163318067079
-c17,3083.7305,1507.4203,1242.0754,3094.611,8927.8372,1.02240179712952
-c18,3083.7305,1507.4203,1242.0754,18.850157,5852.076357,1.5597603631924
-c19,3083.7305,1507.4203,1235.5265,18.850157,5845.527457,1.5615078042134
-c20,3083.7305,1507.4203,1242.0754,2669.1484,8502.3746,1.07356323639794
-c21,3083.7305,1507.4203,1242.0754,18.850157,5852.076357,1.5597603631924
-c22,3266.286,1553.2164,1242.0754,18.850157,6080.427957,1.50118327434065
-c23,3083.7305,1641.1365,1198.9482,18.850157,5942.665357,1.53598363664374
-c24,3266.286,1553.2164,1242.0754,18.850157,6080.427957,1.50118327434065
-c25,3083.7305,1641.1365,1291.4512,18.850157,6035.168357,1.51244111329037
-c26,3266.286,1553.2164,1235.5265,18.850157,6073.879057,1.50280186089649
-c27,3266.286,1553.2164,1235.5265,18.850157,6073.879057,1.50280186089649
-c28,3266.286,1604.6779,1291.4512,2669.1484,8831.5635,1.03354709465037
-c29,3083.7305,1507.4203,1242.0754,18.850157,5852.076357,1.5597603631924
-c30,3083.7305,1507.4203,1235.5265,18.850157,5845.527457,1.5615078042134
-c31,3083.7305,1507.4203,1235.5265,18.850157,5845.527457,1.5615078042134
-c32,3266.286,1604.6779,1198.9482,18.850157,6088.762257,1.49912845416049
-c33,3266.286,1604.6779,1198.9482,18.850157,6088.762257,1.49912845416049
-c34,3083.7305,1507.4203,1235.5265,18.850157,5845.527457,1.5615078042134
-c35,3083.7305,1641.1365,1198.9482,18.850157,5942.665357,1.53598363664374
-c36,3083.7305,1641.1365,1198.9482,18.850157,5942.665357,1.53598363664374
-c37,3266.286,1604.6779,1198.9482,18.850157,6088.762257,1.49912845416049
-c38,3083.7305,1641.1365,1291.4512,18.850157,6035.168357,1.51244111329037
-c39,3083.7305,1641.1365,1198.9482,18.850157,5942.665357,1.53598363664374
-c40,3266.286,1553.2164,1235.5265,18.850157,6073.879057,1.50280186089649
-c41,3083.7305,1641.1365,1291.4512,18.850157,6035.168357,1.51244111329037
-c42,3083.7305,1641.1365,1291.4512,18.850157,6035.168357,1.51244111329037
-c43,3083.7305,1641.1365,1291.4512,18.850157,6035.168357,1.51244111329037
-c10,5845.527457
-
-Unpatch Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
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diff --git a/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_results1.csv b/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_results1.csv
deleted file mode 100644
index 8a52300d986765ae762a169faa4b5ebc99509663..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_results1.csv
+++ /dev/null
@@ -1,143 +0,0 @@
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-c8,16329.212,8052.39,5262.139,11.525024,29655.266024,1.56917516118123
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-Compute Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
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-c6,25257.336472
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-Memory Time
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-c7,0,0,0,10.930367,10.930367,0
-c8,0,0,0,10.930367,10.930367,0
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-Patch Energy
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-Quantization Energy
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-c0,0,0,0,0,0,0
-c1,214.749,0,0,0,214.749,0
-c2,214.749,0,0,0,214.749,0
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-
-Quantization Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
-c1,135.06,0,0,0,135.06,0
-c2,135.06,0,0,0,135.06,0
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-Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,3266.286,1604.6779,1198.9482,3057.9248,9127.8369,0.999999989044502
-c1,3083.7305,1507.4203,1242.0754,18.850157,5852.076357,1.5597603631924
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-Unpatch Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
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diff --git a/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_results2.csv b/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_results2.csv
deleted file mode 100644
index 070c3ca75d9394b53a9d5d2779218edec113762e..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_results2.csv
+++ /dev/null
@@ -1,121 +0,0 @@
-Compute Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,16329.212,8052.39,5262.139,16890.566,46534.307,0.999999997851048
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-
-Compute Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,3266.286,1604.6779,1198.9482,3057.9248,9127.8369,0.999999989044502
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-
-Energy
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-c6,16329.212,8052.39,5262.139,82.701434,29726.442434,1.56541795900319
-c5,25253.397434
-
-Leakage Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
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-c5,0,0,0,28.951489,28.951489,0
-c6,0,0,0,28.951489,28.951489,0
-c0,0
-
-Memory Energy
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-c5,0,0,0,46.163959,46.163959,0
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-
-Memory Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
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-c2,0,0,0,10.930367,10.930367,0
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-
-Patch Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
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-c5,0,0,0,0,0,0
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-
-Quantization Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
-c1,214.749,0,0,0,214.749,0
-c2,214.749,0,149.412,0,364.161,0
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-c5,214.749,0,0,0,214.749,0
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-c0,0
-
-Quantization Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
-c1,135.06,0,0,0,135.06,0
-c2,135.06,0,36.5783,0,171.6383,0
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-Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,3266.286,1604.6779,1198.9482,3057.9248,9127.8369,0.999999989044502
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-
-Unpatch Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
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diff --git a/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_tensors.txt b/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_tensors.txt
deleted file mode 100644
index 3fa0edb09a67a17457cfd7a9ed1d5557586b15cb..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GEOM/pipeline_GEOM_tensors.txt
+++ /dev/null
@@ -1,13 +0,0 @@
-#Conv1,2
-Conv1,3230.39,16104.1,2915.93,13352.1,135.06,214.749,36.5275,220.001
-ClipRelu1,35.896,225.112,32.7405,163.037,146.657,769.821,36.3842,177.909
-#Conv2,3
-Conv2,1531.88,7675.32,1440.78,6485.81,45.7961,219.712,36.4586,170.747
-Add1,36.9761,189.903,32.585,132.874,152.052,635.102,36.3936,148.401
-ClipRelu2,35.8218,187.167,34.0553,144.51,45.6549,185.567,36.3736,153.724
-#Conv3,2
-Conv3,1163.22,5096.2,1209.29,4559.4,49.3758,206.121,36.5783,149.412
-ClipRelu3,35.7282,165.939,32.7854,118.216,165.958,602.927,36.5443,132.298
-#Conv4,2
-Conv4,3022.09,16672.3,2636.43,13346.5,52.0572,187.688,36.6862,213.45
-ClipRelu4,35.8348,218.266,32.7184,153.056,165.584,825.553,36.6609,169.727
diff --git a/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_confs1.txt b/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_confs1.txt
deleted file mode 100644
index 24c151f89f008f3d34a44852bf82df6fa6943607..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_confs1.txt
+++ /dev/null
@@ -1,6 +0,0 @@
-9 9,9 9,9 9
-8 8,8 8,7
-8 8,9 9,7
-8 8,9 9,7
-8 8,8 8,7
-9 9,8 8,7
diff --git a/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_confs2.txt b/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_confs2.txt
deleted file mode 100644
index 66478e91d8eccacfd04be6fe0b4a9051b95b8cd3..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_confs2.txt
+++ /dev/null
@@ -1,5 +0,0 @@
-9 9,9 9,9 9
-7,8 8,6
-7,9 9,7
-7,8 8,7
-7,9 9,7
diff --git a/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_fp16.csv b/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_fp16.csv
deleted file mode 100644
index 119769d485e8f3635444942e1577dfb1f30ffb63..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_fp16.csv
+++ /dev/null
@@ -1,18 +0,0 @@
-ClipRelu1,32.7258,163.65,121.949,41.7015,5000.72,3726.44,1274.27,0.1971,1.70103,1.4139,0.398118,49.4173,42.3377,10.335
-ClipRelu1_f2h,146.88,774.188,616.345,157.843,5271.44,4196.76,1074.68,4.2071,19.2749,14.9998,4.3002,23.6111,21.7033,3.0557
-ClipRelu1_h2f,36.6148,179.907,130.314,49.5932,4913.52,3559.06,1354.45,0.222917,1.8488,1.52567,0.447701,41.4702,36.6395,8.40931
-ClipRelu2,32.7748,123.92,80.2193,43.7008,3780.97,2447.6,1333.37,0.445617,2.16331,1.5542,0.692356,42.4077,34.4301,11.1092
-ClipRelu2_f2h,146.27,552.927,385.072,167.855,3780.54,2632.94,1147.6,3.76973,12.337,8.22917,4.16647,18.9891,17.2608,3.32655
-ClipRelu2_h2f,36.484,139.599,88.2673,51.3316,3826.26,2419.31,1406.95,0.289736,1.58681,1.08099,0.562266,24.5146,18.7651,8.30503
-ClipRelu3,32.4827,162.777,121.496,41.2813,5011.23,3740.36,1270.88,0.281157,2.02032,1.60136,0.508272,48.9996,40.6658,11.6879
-ClipRelu3_f2h,146.047,772.606,615.731,156.875,5290.56,4216.4,1074.16,3.56391,16.2321,12.5509,3.7181,21.601,20.3207,3.37736
-ClipRelu3_h2f,36.3734,179.038,130.004,49.0347,4922.22,3574.13,1348.09,0.280951,1.95425,1.54761,0.494932,35.4942,30.786,8.04821
-Conv1,2906.31,13461.6,10671.8,2789.79,4631.98,3672.06,959.919,17.7692,22.4048,12.9946,13.4788,22.4664,20.6187,2.76273
-Conv1_f2h,56.1955,96.0964,23.101,72.9955,1710.16,411.082,1299.08,0.937944,1.71283,1.24906,1.05611,23.7767,21.1557,14.9728
-Conv1_h2f,36.7417,222.237,189.427,32.8092,6050.45,5157.21,893.24,0.714378,1.89711,1.60827,0.301805,104.891,89.2244,15.8479
-Conv2,1133.43,4702.49,3426.56,1275.92,4149.01,3023.27,1125.73,5.59071,13.8692,13.5082,4.35632,21.9851,20.0789,2.81015
-Conv2_f2h,48.4445,232.944,162.751,70.1925,4808.55,3359.62,1448.93,0.734068,3.74504,2.72272,1.13338,37.893,33.4323,7.75873
-Conv2_h2f,36.5806,152.865,116.681,36.1843,4178.89,3189.72,989.176,0.326615,1.46034,1.11218,0.355733,22.9956,17.5344,5.81516
-Conv3,2473.6,13742.6,11357,2385.59,5555.74,4591.32,964.423,7.28207,12.9199,10.5659,5.71242,14.463,13.641,1.27044
-Conv3_f2h,48.5975,185.44,112.819,72.6212,3816.02,2321.67,1494.35,0.678009,2.51404,1.7155,1.06,34.9156,31.6881,7.7767
-Conv3_h2f,36.5346,221.214,188.635,32.5786,6056.57,5164.61,891.963,0.637827,2.10279,1.77584,0.340253,107.972,91.7763,16.4052
diff --git a/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_fp32.csv b/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_fp32.csv
deleted file mode 100644
index 3b793e99df3c860b148a514488630229c6122385..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_fp32.csv
+++ /dev/null
@@ -1,6 +0,0 @@
-ClipRelu1,35.9208,226.08,190.765,35.3154,6293.88,5310.73,983.149,0.271835,2.25039,1.86576,0.397483,44.304,36.3115,8.44462
-ClipRelu2,35.7686,170.519,130.589,39.9305,4767.29,3650.94,1116.35,0.291639,1.73338,1.30825,0.434816,28.4654,21.5327,7.40692
-ClipRelu3,35.5024,222.945,188.105,34.8406,6279.77,5298.41,981.364,0.35378,2.38839,1.9942,0.407469,36.9255,30.7992,6.8009
-Conv1,3133.21,16042.6,13049.2,2993.34,5120.24,4164.87,955.365,12.2858,15.5634,11.1935,8.89478,18.1658,16.3007,2.63801
-Conv2,1158.82,5542.63,4326.76,1215.87,4783.12,3733.88,1049.24,6.91453,11.4784,7.18899,6.17588,21.3002,20.0687,1.95484
-Conv3,2954.1,17122.9,14368.5,2754.37,5796.34,4863.95,932.392,6.76714,14.0092,11.3429,6.20296,12.2512,11.6083,1.38573
diff --git a/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_layers.txt b/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_layers.txt
deleted file mode 100644
index deefedb4efd481a87ecb2d58d8e5d503ff1daa7e..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_layers.txt
+++ /dev/null
@@ -1,3 +0,0 @@
-Conv1,2000,1,240,300,1,1,9,9,1,1
-Conv2,2000,1,240,300,1,1,3,3,1,1
-Conv3,2000,1,240,300,1,1,9,9,1,1
diff --git a/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_ops.txt b/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_ops.txt
deleted file mode 100644
index 6dbd74c42edb6ae286efef7aaad8239709c29748..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_ops.txt
+++ /dev/null
@@ -1,9 +0,0 @@
-#Conv1,2
-Conv1
-ClipRelu1
-#Conv2,2
-Conv2
-ClipRelu2
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-Conv3
-ClipRelu3
diff --git a/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_promise_confs1.txt b/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_promise_confs1.txt
deleted file mode 100644
index e061e9d839507ea88117b1ebacf5a705d477171f..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_promise_confs1.txt
+++ /dev/null
@@ -1,14 +0,0 @@
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diff --git a/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_promise_confs2.txt b/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_promise_confs2.txt
deleted file mode 100644
index 4f35063f25b6b4b6f63252258c2545953e6b2a75..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_promise_confs2.txt
+++ /dev/null
@@ -1,52 +0,0 @@
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diff --git a/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_promise_results1.csv b/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_promise_results1.csv
deleted file mode 100644
index 408ee686dfca8f052cbf009b197115c6e2755081..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_promise_results1.csv
+++ /dev/null
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diff --git a/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_promise_results2.csv b/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_promise_results2.csv
deleted file mode 100644
index 4bbd96279b68828be34786e140f3ba91321ce530..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_promise_results2.csv
+++ /dev/null
@@ -1,616 +0,0 @@
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-c6,6.799450,5713.149,11.525024,5731.473474,6.86170379959602
-c7,7.585986,4826.41,7.585986,4841.581972,8.12289731231473
-c8,11.525024,4826.41,6.799450,4844.734474,8.11761168734772
-c9,11.525024,5713.149,6.799450,5731.473474,6.86170379959602
-c10,11.525024,5713.149,6.799450,5731.473474,6.86170379959602
-c11,7.585986,5713.149,7.585986,5728.320972,6.86548004305021
-c12,7.585986,5713.149,7.585986,5728.320972,6.86548004305021
-c13,6.799450,5713.149,15.343114,5735.291564,6.85713583615231
-c14,15.343114,4826.41,6.799450,4848.552564,8.11121931128105
-c15,7.585986,4826.41,11.525024,4845.52101,8.11629401816805
-c16,15.343114,4826.41,6.799450,4848.552564,8.11121931128105
-c17,7.585986,5713.149,11.525024,5732.26001,6.86076229014667
-c18,15.343114,5713.149,6.799450,5735.291564,6.85713583615231
-c19,11.525024,4826.41,7.585986,4845.52101,8.11629401816805
-c20,15.343114,5713.149,6.799450,5735.291564,6.85713583615231
-c21,11.525024,5713.149,7.585986,5732.26001,6.86076229014667
-c22,11.525024,5713.149,7.585986,5732.26001,6.86076229014667
-c23,7.585986,4826.41,15.343114,4849.3391,8.10990371636614
-c24,7.585986,4826.41,15.343114,4849.3391,8.10990371636614
-c25,7.585986,5713.149,15.343114,5736.0781,6.8561955797604
-c26,7.585986,5713.149,15.343114,5736.0781,6.8561955797604
-c27,15.343114,4826.41,7.585986,4849.3391,8.10990371636614
-c28,11.525024,5713.149,11.525024,5736.199048,6.85605101658859
-c29,11.525024,5713.149,11.525024,5736.199048,6.85605101658859
-c30,11.525024,4826.41,11.525024,4849.460048,8.10970145124698
-c31,16268.68,4826.41,5.046064,21100.136064,1.863858777703
-c32,13625.25,5713.149,6.799450,19345.19845,2.03294238094031
-c33,15.343114,5713.149,17345.845,23074.337114,1.70439019050734
-c34,7.585986,4826.41,13905.377,18739.372986,2.09866540462772
-c35,5.046064,5713.149,13905.377,19623.572064,2.00410372134732
-c36,15.343114,5713.149,15.343114,5743.835228,6.84693619405936
-c37,15.343114,4826.41,15.343114,4857.096228,8.09695162380975
-c38,16268.68,5713.149,7.585986,21989.414986,1.78848204220942
-c39,13625.25,4826.41,6.799450,18458.45945,2.13060433854027
-c40,13625.25,5713.149,4.563278,19342.962278,2.03317740227474
-c41,13625.25,5713.149,13905.377,33243.776,1.18300862939574
-c42,16268.68,4826.41,6.799450,21101.88945,1.86370390702761
-c43,13625.25,5713.149,15.343114,19353.742114,2.03204494330566
-c44,6.799450,5713.149,17345.845,23065.79345,1.7050215035849
-c45,13625.25,5713.149,11.525024,19349.924024,2.03244590252534
-c46,13625.25,5713.149,7.585986,19345.984986,2.03285972904321
-c47,13625.25,4826.41,5.046064,18456.706064,2.13080674582711
-c48,13625.25,4826.41,13905.377,32357.037,1.21542877607913
-c49,13625.25,4826.41,7.585986,18459.245986,2.13051355492937
-c50,15.343114,4826.41,13905.377,18747.130114,2.09779702552185
-c51,16268.68,5713.149,4.563278,21986.392278,1.78872792424791
-c7,4841.581972
-
-Compute Time
-Configuration,Conv1,Conv2,Conv3,Total,Improvement
-c0,3169.1308,1194.5886,2989.6024,7353.3218,0.999999986400704
-c1,7.919790,1194.5886,7.919790,1210.42818,6.07497521455794
-c2,7.919790,1194.5886,7.919790,1210.42818,6.07497521455794
-c3,7.919790,1194.5886,7.919790,1210.42818,6.07497521455794
-c4,7.919790,1166.2048,7.919790,1182.04438,6.2208503355136
-c5,7.919790,1194.5886,7.919790,1210.42818,6.07497521455794
-c6,7.919790,1194.5886,7.919790,1210.42818,6.07497521455794
-c7,7.919790,1166.2048,7.919790,1182.04438,6.2208503355136
-c8,7.919790,1166.2048,7.919790,1182.04438,6.2208503355136
-c9,7.919790,1194.5886,7.919790,1210.42818,6.07497521455794
-c10,7.919790,1194.5886,7.919790,1210.42818,6.07497521455794
-c11,7.919790,1194.5886,7.919790,1210.42818,6.07497521455794
-c12,7.919790,1194.5886,7.919790,1210.42818,6.07497521455794
-c13,7.919790,1194.5886,7.919790,1210.42818,6.07497521455794
-c14,7.919790,1166.2048,7.919790,1182.04438,6.2208503355136
-c15,7.919790,1166.2048,7.919790,1182.04438,6.2208503355136
-c16,7.919790,1166.2048,7.919790,1182.04438,6.2208503355136
-c17,7.919790,1194.5886,7.919790,1210.42818,6.07497521455794
-c18,7.919790,1194.5886,7.919790,1210.42818,6.07497521455794
-c19,7.919790,1166.2048,7.919790,1182.04438,6.2208503355136
-c20,7.919790,1194.5886,7.919790,1210.42818,6.07497521455794
-c21,7.919790,1194.5886,7.919790,1210.42818,6.07497521455794
-c22,7.919790,1194.5886,7.919790,1210.42818,6.07497521455794
-c23,7.919790,1166.2048,7.919790,1182.04438,6.2208503355136
-c24,7.919790,1166.2048,7.919790,1182.04438,6.2208503355136
-c25,7.919790,1194.5886,7.919790,1210.42818,6.07497521455794
-c26,7.919790,1194.5886,7.919790,1210.42818,6.07497521455794
-c27,7.919790,1166.2048,7.919790,1182.04438,6.2208503355136
-c28,7.919790,1194.5886,7.919790,1210.42818,6.07497521455794
-c29,7.919790,1194.5886,7.919790,1210.42818,6.07497521455794
-c30,7.919790,1166.2048,7.919790,1182.04438,6.2208503355136
-c31,3169.1308,1166.2048,7.919790,4343.25539,1.69304380479814
-c32,2939.0358,1194.5886,7.919790,4141.54419,1.77550239357696
-c33,7.919790,1194.5886,2989.6024,4192.11079,1.75408570835778
-c34,7.919790,1166.2048,2506.0827,3680.20729,1.99807266839927
-c35,7.919790,1194.5886,2506.0827,3708.59109,1.98278036679476
-c36,7.919790,1194.5886,7.919790,1210.42818,6.07497521455794
-c37,7.919790,1166.2048,7.919790,1182.04438,6.2208503355136
-c38,3169.1308,1194.5886,7.919790,4371.63919,1.6820513569865
-c39,2939.0358,1166.2048,7.919790,4113.16039,1.78775465189786
-c40,2939.0358,1194.5886,7.919790,4141.54419,1.77550239357696
-c41,2939.0358,1194.5886,2506.0827,6639.7071,1.10747681765244
-c42,3169.1308,1166.2048,7.919790,4343.25539,1.69304380479814
-c43,2939.0358,1194.5886,7.919790,4141.54419,1.77550239357696
-c44,7.919790,1194.5886,2989.6024,4192.11079,1.75408570835778
-c45,2939.0358,1194.5886,7.919790,4141.54419,1.77550239357696
-c46,2939.0358,1194.5886,7.919790,4141.54419,1.77550239357696
-c47,2939.0358,1166.2048,7.919790,4113.16039,1.78775465189786
-c48,2939.0358,1166.2048,2506.0827,6611.3233,1.11223144824529
-c49,2939.0358,1166.2048,7.919790,4113.16039,1.78775465189786
-c50,7.919790,1166.2048,2506.0827,3680.20729,1.99807266839927
-c51,3169.1308,1194.5886,7.919790,4371.63919,1.6820513569865
-c4,1182.04438
-
-Energy
-Configuration,Conv1,Conv2,Conv3,Total,Improvement
-c0,16268.68,5713.149,17345.845,39327.674,0.999999997457261
-c1,90.458562,5713.149,80.161512,5883.769074,6.68409532001807
-c2,82.701434,5713.149,81.914898,5877.765332,6.69092267375804
-c3,81.914898,5713.149,82.701434,5877.765332,6.69092267375804
-c4,81.914898,4826.41,86.640472,4994.96537,7.87346263676974
-c5,81.914898,5713.149,86.640472,5881.70437,6.68644169400099
-c6,81.914898,5713.149,86.640472,5881.70437,6.68644169400099
-c7,82.701434,4826.41,82.701434,4991.812868,7.87843499989081
-c8,86.640472,4826.41,81.914898,4994.96537,7.87346263676974
-c9,86.640472,5713.149,81.914898,5881.70437,6.68644169400099
-c10,86.640472,5713.149,81.914898,5881.70437,6.68644169400099
-c11,82.701434,5713.149,82.701434,5878.551868,6.69002744452731
-c12,82.701434,5713.149,82.701434,5878.551868,6.69002744452731
-c13,81.914898,5713.149,90.458562,5885.52246,6.68210402714011
-c14,90.458562,4826.41,81.914898,4998.78346,7.86744885589725
-c15,82.701434,4826.41,86.640472,4995.751906,7.87222303124067
-c16,90.458562,4826.41,81.914898,4998.78346,7.86744885589725
-c17,82.701434,5713.149,86.640472,5882.490906,6.68554766337708
-c18,90.458562,5713.149,81.914898,5885.52246,6.68210402714011
-c19,86.640472,4826.41,82.701434,4995.751906,7.87222303124067
-c20,90.458562,5713.149,81.914898,5885.52246,6.68210402714011
-c21,86.640472,5713.149,82.701434,5882.490906,6.68554766337708
-c22,86.640472,5713.149,82.701434,5882.490906,6.68554766337708
-c23,82.701434,4826.41,90.458562,4999.569996,7.86621114312706
-c24,82.701434,4826.41,90.458562,4999.569996,7.86621114312706
-c25,82.701434,5713.149,90.458562,5886.308996,6.68121115602387
-c26,82.701434,5713.149,90.458562,5886.308996,6.68121115602387
-c27,90.458562,4826.41,82.701434,4999.569996,7.86621114312706
-c28,86.640472,5713.149,86.640472,5886.429944,6.68107387772092
-c29,86.640472,5713.149,86.640472,5886.429944,6.68107387772092
-c30,86.640472,4826.41,86.640472,4999.690944,7.8660208508676
-c31,16268.68,5059.354,80.161512,21408.195512,1.83703824053044
-c32,13721.3464,5866.014,81.914898,19669.275298,1.99944701592815
-c33,90.458562,5713.149,17345.845,23149.452562,1.69885977755995
-c34,82.701434,4826.41,13905.377,18814.488434,2.090286638881
-c35,80.161512,5713.149,14090.817,19884.127512,1.9778425670667
-c36,90.458562,5713.149,90.458562,5894.066124,6.67241807359781
-c37,90.458562,4826.41,90.458562,5007.327124,7.85402515967069
-c38,16268.68,5713.149,82.701434,22064.530434,1.78239341822382
-c39,13721.3464,4826.41,81.914898,18629.671298,2.11102349364155
-c40,13721.3464,5866.014,79.678726,19667.039126,1.9996743560672
-c41,13721.3464,5866.014,14090.817,33678.1774,1.1677494721916
-c42,16268.68,5059.354,81.914898,21409.948898,1.83688779471982
-c43,13721.3464,5866.014,90.458562,19677.818962,1.99857890125365
-c44,81.914898,5713.149,17345.845,23140.908898,1.69948699955559
-c45,13721.3464,5866.014,86.640472,19674.000872,1.99896676105542
-c46,13721.3464,5866.014,82.701434,19670.061834,1.99936706513473
-c47,13721.3464,4826.41,80.161512,18627.917912,2.11122219749224
-c48,13721.3464,4826.41,13905.377,32453.1334,1.2118297914129
-c49,13721.3464,4826.41,82.701434,18630.457834,2.1109343709812
-c50,90.458562,4826.41,13905.377,18822.245562,2.08942517838868
-c51,16268.68,5713.149,79.678726,22061.507726,1.78263762885923
-c7,4991.812868
-
-Leakage Energy
-Configuration,Conv1,Conv2,Conv3,Total,Improvement
-c0,0,0,0,0,0
-c1,28.951489,0,28.951489,57.902978,0
-c2,28.951489,0,28.951489,57.902978,0
-c3,28.951489,0,28.951489,57.902978,0
-c4,28.951489,0,28.951489,57.902978,0
-c5,28.951489,0,28.951489,57.902978,0
-c6,28.951489,0,28.951489,57.902978,0
-c7,28.951489,0,28.951489,57.902978,0
-c8,28.951489,0,28.951489,57.902978,0
-c9,28.951489,0,28.951489,57.902978,0
-c10,28.951489,0,28.951489,57.902978,0
-c11,28.951489,0,28.951489,57.902978,0
-c12,28.951489,0,28.951489,57.902978,0
-c13,28.951489,0,28.951489,57.902978,0
-c14,28.951489,0,28.951489,57.902978,0
-c15,28.951489,0,28.951489,57.902978,0
-c16,28.951489,0,28.951489,57.902978,0
-c17,28.951489,0,28.951489,57.902978,0
-c18,28.951489,0,28.951489,57.902978,0
-c19,28.951489,0,28.951489,57.902978,0
-c20,28.951489,0,28.951489,57.902978,0
-c21,28.951489,0,28.951489,57.902978,0
-c22,28.951489,0,28.951489,57.902978,0
-c23,28.951489,0,28.951489,57.902978,0
-c24,28.951489,0,28.951489,57.902978,0
-c25,28.951489,0,28.951489,57.902978,0
-c26,28.951489,0,28.951489,57.902978,0
-c27,28.951489,0,28.951489,57.902978,0
-c28,28.951489,0,28.951489,57.902978,0
-c29,28.951489,0,28.951489,57.902978,0
-c30,28.951489,0,28.951489,57.902978,0
-c31,0,0,28.951489,28.951489,0
-c32,0,0,28.951489,28.951489,0
-c33,28.951489,0,0,28.951489,0
-c34,28.951489,0,0,28.951489,0
-c35,28.951489,0,0,28.951489,0
-c36,28.951489,0,28.951489,57.902978,0
-c37,28.951489,0,28.951489,57.902978,0
-c38,0,0,28.951489,28.951489,0
-c39,0,0,28.951489,28.951489,0
-c40,0,0,28.951489,28.951489,0
-c41,0,0,0,0,0
-c42,0,0,28.951489,28.951489,0
-c43,0,0,28.951489,28.951489,0
-c44,28.951489,0,0,28.951489,0
-c45,0,0,28.951489,28.951489,0
-c46,0,0,28.951489,28.951489,0
-c47,0,0,28.951489,28.951489,0
-c48,0,0,0,0,0
-c49,0,0,28.951489,28.951489,0
-c50,28.951489,0,0,28.951489,0
-c51,0,0,28.951489,28.951489,0
-c0,0
-
-Memory Energy
-Configuration,Conv1,Conv2,Conv3,Total,Improvement
-c0,0,0,0,0,0
-c1,46.163959,0,46.163959,92.327918,0
-c2,46.163959,0,46.163959,92.327918,0
-c3,46.163959,0,46.163959,92.327918,0
-c4,46.163959,0,46.163959,92.327918,0
-c5,46.163959,0,46.163959,92.327918,0
-c6,46.163959,0,46.163959,92.327918,0
-c7,46.163959,0,46.163959,92.327918,0
-c8,46.163959,0,46.163959,92.327918,0
-c9,46.163959,0,46.163959,92.327918,0
-c10,46.163959,0,46.163959,92.327918,0
-c11,46.163959,0,46.163959,92.327918,0
-c12,46.163959,0,46.163959,92.327918,0
-c13,46.163959,0,46.163959,92.327918,0
-c14,46.163959,0,46.163959,92.327918,0
-c15,46.163959,0,46.163959,92.327918,0
-c16,46.163959,0,46.163959,92.327918,0
-c17,46.163959,0,46.163959,92.327918,0
-c18,46.163959,0,46.163959,92.327918,0
-c19,46.163959,0,46.163959,92.327918,0
-c20,46.163959,0,46.163959,92.327918,0
-c21,46.163959,0,46.163959,92.327918,0
-c22,46.163959,0,46.163959,92.327918,0
-c23,46.163959,0,46.163959,92.327918,0
-c24,46.163959,0,46.163959,92.327918,0
-c25,46.163959,0,46.163959,92.327918,0
-c26,46.163959,0,46.163959,92.327918,0
-c27,46.163959,0,46.163959,92.327918,0
-c28,46.163959,0,46.163959,92.327918,0
-c29,46.163959,0,46.163959,92.327918,0
-c30,46.163959,0,46.163959,92.327918,0
-c31,0,0,46.163959,46.163959,0
-c32,0,0,46.163959,46.163959,0
-c33,46.163959,0,0,46.163959,0
-c34,46.163959,0,0,46.163959,0
-c35,46.163959,0,0,46.163959,0
-c36,46.163959,0,46.163959,92.327918,0
-c37,46.163959,0,46.163959,92.327918,0
-c38,0,0,46.163959,46.163959,0
-c39,0,0,46.163959,46.163959,0
-c40,0,0,46.163959,46.163959,0
-c41,0,0,0,0,0
-c42,0,0,46.163959,46.163959,0
-c43,0,0,46.163959,46.163959,0
-c44,46.163959,0,0,46.163959,0
-c45,0,0,46.163959,46.163959,0
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diff --git a/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_results1.csv b/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_results1.csv
deleted file mode 100644
index 8be42209fe3813932175240022e7550b115fb013..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_results1.csv
+++ /dev/null
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-
-Quantization Time
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-c5,0,48.4445,0,48.4445,0
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-
-Time
-Configuration,Conv1,Conv2,Conv3,Total,Improvement
-c0,3169.1308,1194.5886,2989.6024,7353.3218,0.999999986400704
-c1,2995.2313,1166.2048,18.850157,4180.286257,1.75904738862845
-c2,2995.2313,1231.1692,18.850157,4245.250657,1.73212896502641
-c3,2995.2313,1231.1692,18.850157,4245.250657,1.73212896502641
-c4,2995.2313,1166.2048,18.850157,4180.286257,1.75904738862845
-c5,3169.1308,1214.6493,18.850157,4402.630257,1.67021103379904
-c1,4180.286257
-
-Unpatch Energy
-Configuration,Conv1,Conv2,Conv3,Total,Improvement
-c0,0,0,0,0,0
-c1,0,0,0,0,0
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diff --git a/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_results2.csv b/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_results2.csv
deleted file mode 100644
index 3962cd8a7becc7eb4f032529b362789713a3e8d4..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_results2.csv
+++ /dev/null
@@ -1,99 +0,0 @@
-Compute Energy
-Configuration,Conv1,Conv2,Conv3,Total,Improvement
-c0,16268.68,5713.149,17345.845,39327.674,0.999999997457261
-c1,15.343114,4826.41,11.525024,4853.278138,8.10332152236272
-c2,15.343114,5713.149,15.343114,5743.835228,6.84693619405936
-c3,15.343114,4826.41,15.343114,4857.096228,8.09695162380975
-c4,15.343114,5713.149,15.343114,5743.835228,6.84693619405936
-c1,4853.278138
-
-Compute Time
-Configuration,Conv1,Conv2,Conv3,Total,Improvement
-c0,3169.1308,1194.5886,2989.6024,7353.3218,0.999999986400704
-c1,7.919790,1166.2048,7.919790,1182.04438,6.2208503355136
-c2,7.919790,1194.5886,7.919790,1210.42818,6.07497521455794
-c3,7.919790,1166.2048,7.919790,1182.04438,6.2208503355136
-c4,7.919790,1194.5886,7.919790,1210.42818,6.07497521455794
-c1,1182.04438
-
-Energy
-Configuration,Conv1,Conv2,Conv3,Total,Improvement
-c0,16268.68,5713.149,17345.845,39327.674,0.999999997457261
-c1,90.458562,4826.41,86.640472,5003.509034,7.86001842841844
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-c4,90.458562,5713.149,90.458562,5894.066124,6.67241807359781
-c1,5003.509034
-
-Leakage Energy
-Configuration,Conv1,Conv2,Conv3,Total,Improvement
-c0,0,0,0,0,0
-c1,28.951489,0,28.951489,57.902978,0
-c2,28.951489,0,28.951489,57.902978,0
-c3,28.951489,0,28.951489,57.902978,0
-c4,28.951489,0,28.951489,57.902978,0
-c0,0
-
-Memory Energy
-Configuration,Conv1,Conv2,Conv3,Total,Improvement
-c0,0,0,0,0,0
-c1,46.163959,0,46.163959,92.327918,0
-c2,46.163959,0,46.163959,92.327918,0
-c3,46.163959,0,46.163959,92.327918,0
-c4,46.163959,0,46.163959,92.327918,0
-c0,0
-
-Memory Time
-Configuration,Conv1,Conv2,Conv3,Total,Improvement
-c0,0,0,0,0,0
-c1,10.930367,0,10.930367,21.860734,0
-c2,10.930367,0,10.930367,21.860734,0
-c3,10.930367,0,10.930367,21.860734,0
-c4,10.930367,0,10.930367,21.860734,0
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-Patch Energy
-Configuration,Conv1,Conv2,Conv3,Total,Improvement
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-Quantization Energy
-Configuration,Conv1,Conv2,Conv3,Total,Improvement
-c0,0,0,0,0,0
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-Quantization Time
-Configuration,Conv1,Conv2,Conv3,Total,Improvement
-c0,0,0,0,0,0
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-Time
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-
-Unpatch Energy
-Configuration,Conv1,Conv2,Conv3,Total,Improvement
-c0,0,0,0,0,0
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diff --git a/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_tensors.txt b/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_tensors.txt
deleted file mode 100644
index 9f9f7622734cbfa5fe8a93b9ba57d47c4a474881..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GSM/pipeline_GSM_tensors.txt
+++ /dev/null
@@ -1,9 +0,0 @@
-#Conv1,2
-Conv1,3133.21,16042.6,2906.31,13461.6,56.1955,96.0964,36.7417,222.237
-ClipRelu1,35.9208,226.08,32.7258,163.65,146.88,774.188,36.6148,179.907
-#Conv2,2
-Conv2,1158.82,5542.63,1133.43,4702.49,48.4445,232.944,36.5806,152.865
-ClipRelu2,35.7686,170.519,32.7748,123.92,146.27,552.927,36.484,139.599
-#Conv3,2
-Conv3,2954.1,17122.9,2473.6,13742.6,48.5975,185.44,36.5346,221.214
-ClipRelu3,35.5024,222.945,32.4827,162.777,146.047,772.606,36.3734,179.038
diff --git a/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_confs1.txt b/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_confs1.txt
deleted file mode 100644
index 8e8d9f3412cb2b8697b1255f266a911b0de7fb5b..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_confs1.txt
+++ /dev/null
@@ -1,9 +0,0 @@
-9 9,9 9,9 9,9 9 9
-8 8,8 8,8 8,8 8 8
-8 8,8 8,8 8,8 8 8
-8 8,8 8,8 8,8 8 8
-8 8,9 9,8 8,8 8 8
-8 8,8 8,8 8,8 8 8
-8 8,8 8,8 8,8 8 8
-8 8,8 8,8 8,8 8 8
-9 9,9 9,9 9,9 9 9
diff --git a/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_confs2.txt b/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_confs2.txt
deleted file mode 100644
index f959aacca24ebf7e053b7942c15670ba9f4a6250..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_confs2.txt
+++ /dev/null
@@ -1,10 +0,0 @@
-9 9,9 9,9 9,9 9 9
-7,8 8,8 8,8 8 8
-7,8 8,8 8,8 8 8
-7,8 8,8 8,8 8 8
-7,8 8,8 8,8 8 8
-7,9 9,8 8,8 8 8
-7,8 8,8 8,8 8 8
-7,8 8,8 8,8 8 8
-7,9 9,9 9,9 9 9
-7,9 9,9 9,8 8 8
diff --git a/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_fp16.csv b/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_fp16.csv
deleted file mode 100644
index adf98595058033c6e719a7ab8ea4e0e0863b70fa..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_fp16.csv
+++ /dev/null
@@ -1,27 +0,0 @@
-Add1,32.7422,134.826,92.2852,42.5406,4117.81,2818.53,1299.28,0.480545,2.45071,1.88399,0.67206,44.7915,39.1725,10.2198
-Add1_f2h,146.433,615.386,452.33,163.055,4202.81,3089.28,1113.53,3.30273,12.1106,8.61188,3.58125,21.0664,19.9283,2.66236
-Add1_h2f,36.3565,149.573,99.4412,50.1316,4114.05,2735.15,1378.89,0.1795,1.48908,1.19317,0.397784,33.5047,28.1316,8.81403
-ClipRelu1,32.8093,164.115,122.311,41.8039,5002.18,3728.01,1274.17,0.383646,2.27289,1.77877,0.560485,50.4256,41.0598,12.0637
-ClipRelu1_f2h,146.021,769.892,612.882,157.01,5272.86,4197.58,1075.28,3.20992,14.4719,11.2309,3.26632,21.7023,19.7576,3.00022
-ClipRelu1_h2f,36.6263,179.956,130.385,49.5713,4913.3,3559.88,1353.42,0.306986,2.11226,1.60989,0.59845,41.1508,34.7001,9.69627
-ClipRelu2,32.6475,123.226,79.6998,43.5266,3774.46,2441.22,1333.23,0.223447,1.71043,1.36201,0.456888,46.0505,38.219,11.3045
-ClipRelu2_f2h,145.654,550.465,383.19,167.275,3779.64,2631.15,1148.48,3.23396,10.0407,6.6131,3.49054,19.7919,17.7688,3.39794
-ClipRelu2_h2f,36.5405,139.548,88.1952,51.353,3819.03,2413.65,1405.38,0.321831,1.60076,1.17453,0.528099,32.0447,26.5949,8.35867
-ClipRelu3,32.6239,163.406,121.952,41.4536,5008.81,3738.16,1270.65,0.252253,1.7972,1.46955,0.42257,41.824,36.9792,8.17033
-ClipRelu3_f2h,145.606,770.056,613.619,156.437,5289.04,4214.63,1074.41,3.44964,15.7416,12.2167,3.55151,21.0011,19.3086,3.1549
-ClipRelu3_h2f,36.4944,179.388,130.181,49.207,4916.63,3567.99,1348.65,0.558737,2.22449,1.73305,0.576189,92.4995,69.5845,24.4802
-ClipRelu4,33.7585,143.672,89.0642,54.6075,4255.92,2638.32,1617.6,0.301993,1.86943,1.33236,0.632059,45.4988,34.9092,13.4074
-ClipRelu4_f2h,49.1495,200.587,128.424,72.1624,4081.34,2613.1,1468.24,0.679613,2.60138,1.81128,1.01555,34.1158,30.7982,8.29963
-ClipRelu4_h2f,36.4394,154.389,93.9278,60.4616,4236.9,2577.66,1659.24,0.260819,1.49794,1.07238,0.537429,29.9756,24.2888,9.27329
-Conv1,2912.47,13477.7,10682,2795.64,4627.7,3667.8,959.897,16.874,19.5344,10.4216,12.2431,21.5177,19.3465,3.10583
-Conv1_f2h,56.6917,96.9595,23.2424,73.7171,1710.36,409.948,1300.41,0.996916,1.96889,1.07875,1.27633,23.3814,16.9444,15.6866
-Conv1_h2f,36.8048,222.547,189.687,32.8596,6047.08,5154.23,892.85,0.767615,5.8828,4.95376,0.934317,115.286,97.0952,18.4143
-Conv2,1136.75,4708.62,3430.35,1278.27,4142.27,3017.77,1124.5,5.26944,10.5517,10.949,4.42046,20.5193,19.0805,2.22352
-Conv2_f2h,49.0656,235.394,164.481,70.9135,4797.65,3352.36,1445.29,0.628751,3.06546,2.23285,0.944601,35.6073,30.5252,8.25377
-Conv2_h2f,36.5672,152.421,116.314,36.1071,4168.22,3180.81,987.413,0.17204,1.2502,0.951453,0.307672,25.1303,19.1077,6.35024
-Conv3,2476.66,13751.7,11364.3,2387.45,5552.57,4588.58,963.982,5.39738,10.1281,10.6951,4.05957,13.5026,12.5865,1.43885
-Conv3_f2h,49.3364,187.77,114.095,73.6744,3806.12,2312.79,1493.33,0.690044,2.50089,1.74511,1.02682,36.6426,32.9583,7.7257
-Conv3_h2f,36.496,221.431,188.804,32.6269,6067.25,5173.27,893.979,0.29224,2.18121,1.83368,0.35668,31.4194,26.5476,5.39186
-Conv4,1437.6,6507.38,4976.29,1531.09,4526.62,3461.58,1065.04,4.87199,11.4425,12.0961,4.02899,17.7563,16.7398,1.63006
-Conv4_f2h,49.0482,236.319,165.433,70.8861,4818.2,3372.97,1445.23,0.679402,3.35184,2.39746,1.04878,34.0698,29.9535,6.64119
-Conv4_h2f,36.5705,171.537,137.169,34.3684,4691.32,3751.38,939.935,0.503451,2.74819,2.18383,0.570163,87.6813,69.6122,18.1999
diff --git a/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_fp32.csv b/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_fp32.csv
deleted file mode 100644
index 07f6d29eb8878988dd7385f39fc7dfc58c2ca13b..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_fp32.csv
+++ /dev/null
@@ -1,9 +0,0 @@
-Add1,36.8449,189.882,150.771,39.1102,5153.49,4092.03,1061.46,0.403419,2.58036,2.0136,0.575255,34.4887,26.8533,8.13957
-ClipRelu1,35.9733,226.348,190.976,35.3723,6292.16,5308.86,983.295,0.377922,2.50327,2.09712,0.419746,29.9011,24.7858,5.90174
-ClipRelu2,35.7905,170.526,130.612,39.9134,4764.52,3649.33,1115.19,0.263273,1.68219,1.29396,0.400556,27.1081,20.8148,6.87275
-ClipRelu3,35.7453,224.772,189.644,35.1276,6288.11,5305.4,982.715,0.26882,2.28079,1.92129,0.371073,37.9406,31.6551,6.78118
-ClipRelu4,35.5248,186.169,140.805,45.3642,5240.54,3963.56,1276.97,0.290282,1.78105,1.34507,0.450777,27.7985,20.973,7.55094
-Conv1,3133.72,16043.1,13048.7,2994.38,5119.56,4164.02,955.538,12.8997,20.1128,14.6161,10.0908,16.3762,15.0127,2.44283
-Conv2,1160.86,5545.29,4327.83,1217.46,4776.99,3728.23,1048.76,7.23604,11.931,7.55606,6.20326,22.2041,20.7609,2.04701
-Conv3,2955.11,17131.1,14376.3,2754.85,5797.15,4864.91,932.236,7.81069,12.3346,8.71001,7.15089,12.9919,12.528,1.32979
-Conv4,1532.34,7694.78,6158.49,1536.29,5021.69,4019.1,1002.58,7.70784,12.3714,7.83712,6.94529,19.857,18.8424,2.02751
diff --git a/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_layers.txt b/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_layers.txt
deleted file mode 100644
index cb7b918f537fcbb77d6c71844162161ca21ca01a..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_layers.txt
+++ /dev/null
@@ -1,4 +0,0 @@
-Conv1,2000,1,240,300,1,1,9,9,1,1
-Conv2,2000,1,240,300,1,1,3,3,1,1
-Conv3,2000,1,240,300,1,1,9,9,1,1
-Conv4,2000,1,240,300,1,1,5,5,1,1
diff --git a/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_ops.txt b/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_ops.txt
deleted file mode 100644
index d80034c986694bf89a332c0a382f4f3281728537..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_ops.txt
+++ /dev/null
@@ -1,13 +0,0 @@
-#Conv1,2
-Conv1
-ClipRelu1
-#Conv2,2
-Conv2
-ClipRelu2
-#Conv3,2
-Conv3
-ClipRelu3
-#Conv4,3
-Conv4
-Add1
-ClipRelu4
diff --git a/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_promise_confs1.txt b/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_promise_confs1.txt
deleted file mode 100644
index 8e7edaca0182fd1a9b2f6e510e33db9c51b923f5..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_promise_confs1.txt
+++ /dev/null
@@ -1,14 +0,0 @@
-9 9,9 9,9 9,9 9 9
-8 8,8 8,9 9,9 9 9
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-8 8,8 8,9 9,9 9 9
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-9 9,8 8,8 8,8 8 8
-8 8,8 8,8 8,9 9 9
-9 9,9 9,8 8,8 8 8
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-9 9,9 9,9 9,9 9 9
-8 8,9 9,9 9,9 9 9
diff --git a/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_promise_confs2.txt b/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_promise_confs2.txt
deleted file mode 100644
index 4c0531b59728b06aa987b947d9ed062aa5f80b72..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_promise_confs2.txt
+++ /dev/null
@@ -1,52 +0,0 @@
-9 9,9 9,9 9,9 9 9
-7,9 9,6,9 9 9
-7,8 8,6,9 9 9
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diff --git a/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_promise_results1.csv b/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_promise_results1.csv
deleted file mode 100644
index 62918ed77910a43edb399dfc9a5e48e8fc956b37..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_promise_results1.csv
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diff --git a/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_promise_results2.csv b/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_promise_results2.csv
deleted file mode 100644
index 2923a28122195bfcd79bed384207073372a8eab9..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_promise_results2.csv
+++ /dev/null
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-c9,7.919790,1196.6505,7.919790,1604.7097,2817.19978,3.18114055861737
-c10,7.919790,1169.3975,7.919790,1504.1007,2689.33778,3.33238484708362
-c11,7.919790,1169.3975,7.919790,1604.7097,2789.94678,3.21221485048489
-c12,3169.6933,1169.3975,7.919790,1504.1007,5851.11129,1.53165923576786
-c13,2945.2793,1169.3975,7.919790,1604.7097,5727.30629,1.56476852987081
-c14,3169.6933,1169.3975,7.919790,1604.7097,5951.72029,1.50576778019641
-c15,7.919790,1196.6505,2990.8553,1504.1007,5699.52629,1.57239535125655
-c16,7.919790,1196.6505,2509.2839,1504.1007,5217.95489,1.71751362692379
-c17,7.919790,1169.3975,2509.2839,1504.1007,5190.70189,1.72653117386922
-c18,7.919790,1169.3975,2509.2839,1604.7097,5291.31089,1.6937029059409
-c19,7.919790,1196.6505,2509.2839,1604.7097,5318.56389,1.68502415630427
-c20,7.919790,1196.6505,2990.8553,1504.1007,5699.52629,1.57239535125655
-c21,7.919790,1169.3975,2990.8553,1604.7097,5772.88229,1.55241492803043
-c22,7.919790,1169.3975,2990.8553,1504.1007,5672.27329,1.57995008065011
-c23,7.919790,1169.3975,2509.2839,1604.7097,5291.31089,1.6937029059409
-c24,7.919790,1196.6505,2990.8553,1604.7097,5800.13529,1.54512062174466
-c25,7.919790,1196.6505,7.919790,1604.7097,2817.19978,3.18114055861737
-c26,2945.2793,1196.6505,7.919790,1504.1007,5653.95029,1.58507029277277
-c27,7.919790,1169.3975,7.919790,1504.1007,2689.33778,3.33238484708362
-c28,7.919790,1169.3975,2509.2839,1604.7097,5291.31089,1.6937029059409
-c29,7.919790,1169.3975,2509.2839,1504.1007,5190.70189,1.72653117386922
-c30,7.919790,1196.6505,7.919790,1504.1007,2716.59078,3.29895416567106
-c31,3169.6933,1169.3975,7.919790,1504.1007,5851.11129,1.53165923576786
-c32,3169.6933,1196.6505,7.919790,1504.1007,5878.36429,1.5245582283476
-c33,7.919790,1196.6505,7.919790,1604.7097,2817.19978,3.18114055861737
-c34,7.919790,1169.3975,2509.2839,1604.7097,5291.31089,1.6937029059409
-c35,2945.2793,1169.3975,2509.2839,1504.1007,8128.0614,1.10258870457612
-c36,2945.2793,1169.3975,2509.2839,1604.7097,8228.6704,1.08910774832945
-c37,7.919790,1169.3975,2509.2839,1504.1007,5190.70189,1.72653117386922
-c38,2945.2793,1169.3975,7.919790,1504.1007,5626.69729,1.59274760642495
-c39,7.919790,1169.3975,2990.8553,1604.7097,5772.88229,1.55241492803043
-c40,7.919790,1169.3975,2990.8553,1504.1007,5672.27329,1.57995008065011
-c41,7.919790,1169.3975,7.919790,1604.7097,2789.94678,3.21221485048489
-c42,7.919790,1169.3975,2990.8553,1604.7097,5772.88229,1.55241492803043
-c43,2945.2793,1169.3975,7.919790,1604.7097,5727.30629,1.56476852987081
-c44,2945.2793,1169.3975,7.919790,1504.1007,5626.69729,1.59274760642495
-c45,2945.2793,1196.6505,7.919790,1504.1007,5653.95029,1.58507029277277
-c46,7.919790,1169.3975,7.919790,1504.1007,2689.33778,3.33238484708362
-c47,7.919790,1196.6505,2509.2839,1604.7097,5318.56389,1.68502415630427
-c48,7.919790,1196.6505,2509.2839,1604.7097,5318.56389,1.68502415630427
-c49,2945.2793,1196.6505,2509.2839,1604.7097,8255.9234,1.08551257772677
-c50,7.919790,1196.6505,7.919790,1504.1007,2716.59078,3.29895416567106
-c51,7.919790,1169.3975,7.919790,1604.7097,2789.94678,3.21221485048489
-c5,2689.33778
-
-Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,16269.448,5715.816,17355.872,8070.831,47411.967,0.999999997890828
-c1,90.458562,5715.816,86.640472,8070.831,13963.746034,3.39536157024208
-c2,90.458562,4831.846,86.640472,8070.831,13079.776034,3.62483015873305
-c3,90.458562,5715.816,82.701434,6785.878,12674.853996,3.74063217145533
-c4,82.701434,5715.816,90.458562,8070.831,13959.806996,3.39631963922949
-c5,90.458562,4831.846,82.701434,6785.878,11790.883996,4.02106971911328
-c6,82.701434,5715.816,90.458562,6785.878,12674.853996,3.74063217145533
-c7,82.701434,4831.846,90.458562,6785.878,11790.883996,4.02106971911328
-c8,86.640472,5715.816,86.640472,6785.878,12674.974944,3.74059647734325
-c9,86.640472,5715.816,86.640472,8070.831,13959.927944,3.3962902137148
-c10,86.640472,4831.846,86.640472,6785.878,11791.004944,4.02102847238846
-c11,86.640472,4831.846,86.640472,8070.831,13075.957944,3.62588858425982
-c12,16269.448,5067.24,81.914898,6785.878,28204.480898,1.68100831223812
-c13,13738.7745,4831.846,81.914898,8070.831,26723.366398,1.77417643108507
-c14,16269.448,5067.24,81.914898,8070.831,29489.433898,1.60776117314478
-c15,82.701434,5715.816,17355.872,7022.197,30176.586434,1.57115076440408
-c16,82.701434,5715.816,14102.876,6785.878,26687.271434,1.77657603324478
-c17,82.701434,4831.846,13915.106,6785.878,25615.531434,1.8509070146395
-c18,82.701434,4831.846,13915.106,8242.368,27072.021434,1.75132717519654
-c19,82.701434,5715.816,14102.876,8242.368,28143.761434,1.68463504577106
-c20,82.701434,5715.816,17355.872,7022.197,30176.586434,1.57115076440408
-c21,82.701434,4831.846,17577.303,8070.831,30562.681434,1.5513025893116
-c22,82.701434,4831.846,17577.303,7022.197,29514.047434,1.60642036458679
-c23,82.701434,4831.846,13915.106,8242.368,27072.021434,1.75132717519654
-c24,82.701434,5715.816,17355.872,8070.831,31225.220434,1.51838693816029
-c25,90.458562,5715.816,86.640472,8070.831,13963.746034,3.39536157024208
-c26,13738.7745,5868.237,86.640472,6785.878,26479.529972,1.79051391286337
-c27,90.458562,4831.846,86.640472,6785.878,11794.823034,4.0197268294197
-c28,90.458562,4831.846,13915.106,8242.368,27079.778562,1.75082549941707
-c29,86.640472,4831.846,13915.106,6785.878,25619.470472,1.85062243447831
-c30,90.458562,5715.816,86.640472,6785.878,12678.793034,3.7394700346406
-c31,16269.448,5067.24,86.640472,6785.878,28209.206472,1.68072671164953
-c32,16269.448,5715.816,86.640472,6785.878,28857.782472,1.6429525339207
-c33,90.458562,5715.816,90.458562,8070.831,13967.564124,3.39443343446623
-c34,86.640472,4831.846,13915.106,8242.368,27075.960472,1.75107239035612
-c35,13738.7745,4831.846,13915.106,6785.878,39271.6045,1.20728367182634
-c36,13738.7745,4831.846,13915.106,8242.368,40728.0945,1.16410962667524
-c37,90.458562,4831.846,13915.106,6785.878,25623.288562,1.85034667584701
-c38,13738.7745,4831.846,86.640472,6785.878,25443.138972,1.86344801503587
-c39,90.458562,4831.846,17577.303,8070.831,30570.438562,1.55090895241011
-c40,90.458562,4831.846,17577.303,7022.197,29521.804562,1.60599826273588
-c41,90.458562,4831.846,86.640472,8070.831,13079.776034,3.62483015873305
-c42,86.640472,4831.846,17577.303,8070.831,30566.620472,1.55110267712849
-c43,13738.7745,4831.846,82.701434,8070.831,26724.152934,1.77412421413991
-c44,13738.7745,4831.846,82.701434,6785.878,25439.199934,1.86373655369009
-c45,13738.7745,5868.237,86.640472,6785.878,26479.529972,1.79051391286337
-c46,90.458562,4831.846,90.458562,6785.878,11798.641124,4.01842602888524
-c47,90.458562,5715.816,14102.876,8242.368,28151.518562,1.6841708459586
-c48,86.640472,5715.816,14102.876,8242.368,28147.700472,1.68439929502317
-c49,13738.7745,5868.237,14102.876,8242.368,41952.2555,1.1301410692206
-c50,90.458562,5715.816,90.458562,6785.878,12682.611124,3.73834427016731
-c51,86.640472,4831.846,90.458562,8070.831,13079.776034,3.62483015873305
-c5,11790.883996
-
-Leakage Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
-c1,28.951489,0,28.951489,0,57.902978,0
-c2,28.951489,0,28.951489,0,57.902978,0
-c3,28.951489,0,28.951489,0,57.902978,0
-c4,28.951489,0,28.951489,0,57.902978,0
-c5,28.951489,0,28.951489,0,57.902978,0
-c6,28.951489,0,28.951489,0,57.902978,0
-c7,28.951489,0,28.951489,0,57.902978,0
-c8,28.951489,0,28.951489,0,57.902978,0
-c9,28.951489,0,28.951489,0,57.902978,0
-c10,28.951489,0,28.951489,0,57.902978,0
-c11,28.951489,0,28.951489,0,57.902978,0
-c12,0,0,28.951489,0,28.951489,0
-c13,0,0,28.951489,0,28.951489,0
-c14,0,0,28.951489,0,28.951489,0
-c15,28.951489,0,0,0,28.951489,0
-c16,28.951489,0,0,0,28.951489,0
-c17,28.951489,0,0,0,28.951489,0
-c18,28.951489,0,0,0,28.951489,0
-c19,28.951489,0,0,0,28.951489,0
-c20,28.951489,0,0,0,28.951489,0
-c21,28.951489,0,0,0,28.951489,0
-c22,28.951489,0,0,0,28.951489,0
-c23,28.951489,0,0,0,28.951489,0
-c24,28.951489,0,0,0,28.951489,0
-c25,28.951489,0,28.951489,0,57.902978,0
-c26,0,0,28.951489,0,28.951489,0
-c27,28.951489,0,28.951489,0,57.902978,0
-c28,28.951489,0,0,0,28.951489,0
-c29,28.951489,0,0,0,28.951489,0
-c30,28.951489,0,28.951489,0,57.902978,0
-c31,0,0,28.951489,0,28.951489,0
-c32,0,0,28.951489,0,28.951489,0
-c33,28.951489,0,28.951489,0,57.902978,0
-c34,28.951489,0,0,0,28.951489,0
-c35,0,0,0,0,0,0
-c36,0,0,0,0,0,0
-c37,28.951489,0,0,0,28.951489,0
-c38,0,0,28.951489,0,28.951489,0
-c39,28.951489,0,0,0,28.951489,0
-c40,28.951489,0,0,0,28.951489,0
-c41,28.951489,0,28.951489,0,57.902978,0
-c42,28.951489,0,0,0,28.951489,0
-c43,0,0,28.951489,0,28.951489,0
-c44,0,0,28.951489,0,28.951489,0
-c45,0,0,28.951489,0,28.951489,0
-c46,28.951489,0,28.951489,0,57.902978,0
-c47,28.951489,0,0,0,28.951489,0
-c48,28.951489,0,0,0,28.951489,0
-c49,0,0,0,0,0,0
-c50,28.951489,0,28.951489,0,57.902978,0
-c51,28.951489,0,28.951489,0,57.902978,0
-c0,0
-
-Memory Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
-c1,46.163959,0,46.163959,0,92.327918,0
-c2,46.163959,0,46.163959,0,92.327918,0
-c3,46.163959,0,46.163959,0,92.327918,0
-c4,46.163959,0,46.163959,0,92.327918,0
-c5,46.163959,0,46.163959,0,92.327918,0
-c6,46.163959,0,46.163959,0,92.327918,0
-c7,46.163959,0,46.163959,0,92.327918,0
-c8,46.163959,0,46.163959,0,92.327918,0
-c9,46.163959,0,46.163959,0,92.327918,0
-c10,46.163959,0,46.163959,0,92.327918,0
-c11,46.163959,0,46.163959,0,92.327918,0
-c12,0,0,46.163959,0,46.163959,0
-c13,0,0,46.163959,0,46.163959,0
-c14,0,0,46.163959,0,46.163959,0
-c15,46.163959,0,0,0,46.163959,0
-c16,46.163959,0,0,0,46.163959,0
-c17,46.163959,0,0,0,46.163959,0
-c18,46.163959,0,0,0,46.163959,0
-c19,46.163959,0,0,0,46.163959,0
-c20,46.163959,0,0,0,46.163959,0
-c21,46.163959,0,0,0,46.163959,0
-c22,46.163959,0,0,0,46.163959,0
-c23,46.163959,0,0,0,46.163959,0
-c24,46.163959,0,0,0,46.163959,0
-c25,46.163959,0,46.163959,0,92.327918,0
-c26,0,0,46.163959,0,46.163959,0
-c27,46.163959,0,46.163959,0,92.327918,0
-c28,46.163959,0,0,0,46.163959,0
-c29,46.163959,0,0,0,46.163959,0
-c30,46.163959,0,46.163959,0,92.327918,0
-c31,0,0,46.163959,0,46.163959,0
-c32,0,0,46.163959,0,46.163959,0
-c33,46.163959,0,46.163959,0,92.327918,0
-c34,46.163959,0,0,0,46.163959,0
-c35,0,0,0,0,0,0
-c36,0,0,0,0,0,0
-c37,46.163959,0,0,0,46.163959,0
-c38,0,0,46.163959,0,46.163959,0
-c39,46.163959,0,0,0,46.163959,0
-c40,46.163959,0,0,0,46.163959,0
-c41,46.163959,0,46.163959,0,92.327918,0
-c42,46.163959,0,0,0,46.163959,0
-c43,0,0,46.163959,0,46.163959,0
-c44,0,0,46.163959,0,46.163959,0
-c45,0,0,46.163959,0,46.163959,0
-c46,46.163959,0,46.163959,0,92.327918,0
-c47,46.163959,0,0,0,46.163959,0
-c48,46.163959,0,0,0,46.163959,0
-c49,0,0,0,0,0,0
-c50,46.163959,0,46.163959,0,92.327918,0
-c51,46.163959,0,46.163959,0,92.327918,0
-c0,0
-
-Memory Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
-c1,10.930367,0,10.930367,0,21.860734,0
-c2,10.930367,0,10.930367,0,21.860734,0
-c3,10.930367,0,10.930367,0,21.860734,0
-c4,10.930367,0,10.930367,0,21.860734,0
-c5,10.930367,0,10.930367,0,21.860734,0
-c6,10.930367,0,10.930367,0,21.860734,0
-c7,10.930367,0,10.930367,0,21.860734,0
-c8,10.930367,0,10.930367,0,21.860734,0
-c9,10.930367,0,10.930367,0,21.860734,0
-c10,10.930367,0,10.930367,0,21.860734,0
-c11,10.930367,0,10.930367,0,21.860734,0
-c12,0,0,10.930367,0,10.930367,0
-c13,0,0,10.930367,0,10.930367,0
-c14,0,0,10.930367,0,10.930367,0
-c15,10.930367,0,0,0,10.930367,0
-c16,10.930367,0,0,0,10.930367,0
-c17,10.930367,0,0,0,10.930367,0
-c18,10.930367,0,0,0,10.930367,0
-c19,10.930367,0,0,0,10.930367,0
-c20,10.930367,0,0,0,10.930367,0
-c21,10.930367,0,0,0,10.930367,0
-c22,10.930367,0,0,0,10.930367,0
-c23,10.930367,0,0,0,10.930367,0
-c24,10.930367,0,0,0,10.930367,0
-c25,10.930367,0,10.930367,0,21.860734,0
-c26,0,0,10.930367,0,10.930367,0
-c27,10.930367,0,10.930367,0,21.860734,0
-c28,10.930367,0,0,0,10.930367,0
-c29,10.930367,0,0,0,10.930367,0
-c30,10.930367,0,10.930367,0,21.860734,0
-c31,0,0,10.930367,0,10.930367,0
-c32,0,0,10.930367,0,10.930367,0
-c33,10.930367,0,10.930367,0,21.860734,0
-c34,10.930367,0,0,0,10.930367,0
-c35,0,0,0,0,0,0
-c36,0,0,0,0,0,0
-c37,10.930367,0,0,0,10.930367,0
-c38,0,0,10.930367,0,10.930367,0
-c39,10.930367,0,0,0,10.930367,0
-c40,10.930367,0,0,0,10.930367,0
-c41,10.930367,0,10.930367,0,21.860734,0
-c42,10.930367,0,0,0,10.930367,0
-c43,0,0,10.930367,0,10.930367,0
-c44,0,0,10.930367,0,10.930367,0
-c45,0,0,10.930367,0,10.930367,0
-c46,10.930367,0,10.930367,0,21.860734,0
-c47,10.930367,0,0,0,10.930367,0
-c48,10.930367,0,0,0,10.930367,0
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diff --git a/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_results1.csv b/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_results1.csv
deleted file mode 100644
index b45df9c4a9dbeb4c276364c549f61ea91945386f..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_results1.csv
+++ /dev/null
@@ -1,143 +0,0 @@
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-c7,96.9595,0,0,0,96.9595,0
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-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
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-c2,56.6917,0,0,0,56.6917,0
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-c5,56.6917,0,0,0,56.6917,0
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-c7,56.6917,0,0,0,56.6917,0
-c8,0,0,0,0,0,0
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-Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,3169.6933,1196.6505,2990.8553,1604.7097,8961.9088,0.999999988841663
-c1,3001.971,1169.3975,2509.2839,1504.1007,8184.7531,1.09495162297624
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-c3,3001.971,1169.3975,2509.2839,1504.1007,8184.7531,1.09495162297624
-c4,3001.971,1233.2177,2558.6203,1504.1007,8297.9097,1.08002003106855
-c5,3001.971,1169.3975,2509.2839,1504.1007,8184.7531,1.09495162297624
-c6,3001.971,1169.3975,2509.2839,1504.1007,8184.7531,1.09495162297624
-c7,3001.971,1169.3975,2509.2839,1504.1007,8184.7531,1.09495162297624
-c8,3169.6933,1196.6505,2990.8553,1604.7097,8961.9088,0.999999988841663
-c1,8184.7531
-
-Unpatch Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
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diff --git a/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_results2.csv b/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_results2.csv
deleted file mode 100644
index 6d54eb0f35f60d2549ef8b12a44a85e28ec638e2..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_results2.csv
+++ /dev/null
@@ -1,154 +0,0 @@
-Compute Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,16269.448,5715.816,17355.872,8070.831,47411.967,0.999999997890828
-c1,15.343114,4831.846,13915.106,6785.878,25548.173114,1.85578697165005
-c2,15.343114,4831.846,13915.106,6785.878,25548.173114,1.85578697165005
-c3,15.343114,4831.846,13915.106,6785.878,25548.173114,1.85578697165005
-c4,15.343114,4831.846,13915.106,6785.878,25548.173114,1.85578697165005
-c5,15.343114,5715.816,13915.106,6785.878,26432.143114,1.79372389957723
-c6,15.343114,4831.846,13915.106,6785.878,25548.173114,1.85578697165005
-c7,15.343114,4831.846,13915.106,6785.878,25548.173114,1.85578697165005
-c8,15.343114,5715.816,17355.872,8070.831,31157.862114,1.52166944812718
-c9,15.343114,5715.816,17355.872,6785.878,29872.909114,1.58712252162505
-c1,25548.173114
-
-Compute Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,3169.6933,1196.6505,2990.8553,1604.7097,8961.9088,0.999999988841663
-c1,7.919790,1169.3975,2509.2839,1504.1007,5190.70189,1.72653117386922
-c2,7.919790,1169.3975,2509.2839,1504.1007,5190.70189,1.72653117386922
-c3,7.919790,1169.3975,2509.2839,1504.1007,5190.70189,1.72653117386922
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-c7,7.919790,1169.3975,2509.2839,1504.1007,5190.70189,1.72653117386922
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-
-Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,16269.448,5715.816,17355.872,8070.831,47411.967,0.999999997890828
-c1,90.458562,4831.846,13915.106,6785.878,25623.288562,1.85034667584701
-c2,90.458562,4831.846,13915.106,6785.878,25623.288562,1.85034667584701
-c3,90.458562,4831.846,13915.106,6785.878,25623.288562,1.85034667584701
-c4,90.458562,4831.846,13915.106,6785.878,25623.288562,1.85034667584701
-c5,90.458562,5715.816,14102.876,6785.878,26695.028562,1.77605979001964
-c6,90.458562,4831.846,13915.106,6785.878,25623.288562,1.85034667584701
-c7,90.458562,4831.846,13915.106,6785.878,25623.288562,1.85034667584701
-c8,90.458562,5715.816,17355.872,8070.831,31232.977562,1.5180098264433
-c9,90.458562,5715.816,17355.872,7022.197,30184.343562,1.5707469915832
-c1,25623.288562
-
-Leakage Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
-c1,28.951489,0,0,0,28.951489,0
-c2,28.951489,0,0,0,28.951489,0
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-c4,28.951489,0,0,0,28.951489,0
-c5,28.951489,0,0,0,28.951489,0
-c6,28.951489,0,0,0,28.951489,0
-c7,28.951489,0,0,0,28.951489,0
-c8,28.951489,0,0,0,28.951489,0
-c9,28.951489,0,0,0,28.951489,0
-c0,0
-
-Memory Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
-c1,46.163959,0,0,0,46.163959,0
-c2,46.163959,0,0,0,46.163959,0
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-c4,46.163959,0,0,0,46.163959,0
-c5,46.163959,0,0,0,46.163959,0
-c6,46.163959,0,0,0,46.163959,0
-c7,46.163959,0,0,0,46.163959,0
-c8,46.163959,0,0,0,46.163959,0
-c9,46.163959,0,0,0,46.163959,0
-c0,0
-
-Memory Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
-c1,10.930367,0,0,0,10.930367,0
-c2,10.930367,0,0,0,10.930367,0
-c3,10.930367,0,0,0,10.930367,0
-c4,10.930367,0,0,0,10.930367,0
-c5,10.930367,0,0,0,10.930367,0
-c6,10.930367,0,0,0,10.930367,0
-c7,10.930367,0,0,0,10.930367,0
-c8,10.930367,0,0,0,10.930367,0
-c9,10.930367,0,0,0,10.930367,0
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-Patch Energy
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-c9,0,0,0,0,0,0
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-
-Quantization Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
-c1,0,0,0,0,0,0
-c2,0,0,0,0,0,0
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-c8,0,0,0,0,0,0
-c9,0,0,0,236.319,236.319,0
-c0,0
-
-Quantization Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
-c1,0,0,0,0,0,0
-c2,0,0,0,0,0,0
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-c5,0,0,49.3364,0,49.3364,0
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-c8,0,0,0,0,0,0
-c9,0,0,0,49.0482,49.0482,0
-c0,0
-
-Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,3169.6933,1196.6505,2990.8553,1604.7097,8961.9088,0.999999988841663
-c1,18.850157,1169.3975,2509.2839,1504.1007,5201.632257,1.72290315518737
-c2,18.850157,1169.3975,2509.2839,1504.1007,5201.632257,1.72290315518737
-c3,18.850157,1169.3975,2509.2839,1504.1007,5201.632257,1.72290315518737
-c4,18.850157,1169.3975,2509.2839,1504.1007,5201.632257,1.72290315518737
-c5,18.850157,1196.6505,2558.6203,1504.1007,5278.221657,1.69790304625126
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-c7,18.850157,1169.3975,2509.2839,1504.1007,5201.632257,1.72290315518737
-c8,18.850157,1196.6505,2990.8553,1604.7097,5811.065657,1.54221431571386
-c9,18.850157,1196.6505,2990.8553,1553.1489,5759.504857,1.55602067658747
-c1,5201.632257
-
-Unpatch Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Total,Improvement
-c0,0,0,0,0,0,0
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-c2,0,0,0,0,0,0
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-
diff --git a/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_tensors.txt b/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_tensors.txt
deleted file mode 100644
index 38f513ebc98833ddfdd95ef72d04b05aa60ed8a4..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/pipeline_GSME/pipeline_GSME_tensors.txt
+++ /dev/null
@@ -1,13 +0,0 @@
-#Conv1,2
-Conv1,3133.72,16043.1,2912.47,13477.7,56.6917,96.9595,36.8048,222.547
-ClipRelu1,35.9733,226.348,32.8093,164.115,146.021,769.892,36.6263,179.956
-#Conv2,2
-Conv2,1160.86,5545.29,1136.75,4708.62,49.0656,235.394,36.5672,152.421
-ClipRelu2,35.7905,170.526,32.6475,123.226,145.654,550.465,36.5405,139.548
-#Conv3,2
-Conv3,2955.11,17131.1,2476.66,13751.7,49.3364,187.77,36.496,221.431
-ClipRelu3,35.7453,224.772,32.6239,163.406,145.606,770.056,36.4944,179.388
-#Conv4,3
-Conv4,1532.34,7694.78,1437.6,6507.38,49.0482,236.319,36.5705,171.537
-Add1,36.8449,189.882,32.7422,134.826,146.433,615.386,36.3565,149.573
-ClipRelu4,35.5248,186.169,33.7585,143.672,49.1495,200.587,36.4394,154.389
diff --git a/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_confs1.txt b/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_confs1.txt
deleted file mode 100644
index 7361a062e7d4cc86d5c955dd4c7662d2e88175a6..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_confs1.txt
+++ /dev/null
@@ -1,34 +0,0 @@
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diff --git a/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_confs2.txt b/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_confs2.txt
deleted file mode 100644
index 3d0ad476552644463569166477024d81f4fc4dd0..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_confs2.txt
+++ /dev/null
@@ -1,46 +0,0 @@
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diff --git a/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_fp16.csv b/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_fp16.csv
deleted file mode 100644
index 8aa9f4f5f1ab4418335e9f3eb0a9ed81035e44c2..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_fp16.csv
+++ /dev/null
@@ -1,220 +0,0 @@
-Add1,18.4067,51.7458,26.6786,25.0672,5671.44,2933.87,2737.57,13.0333,37.8611,20.1787,17.9155,4176.73,2237.06,1963.86
-Add10,25.4775,107.72,67.1668,40.5535,8455.96,5272.51,3183.45,18.0181,76.2046,47.5202,28.6861,5980.97,3729.6,2251.5
-Add10_f2h,60.3765,243.339,153.879,89.4597,8062.26,5098.54,2963.73,42.7111,172.129,108.851,63.281,5701.54,3605.88,2095.77
-Add10_h2f,20.7649,83.3467,51.6117,31.735,8027.75,4971.09,3056.66,14.6838,58.9536,36.5095,22.4455,5678,3516.32,2161.83
-Add11,10.3212,47.2214,28.8656,18.3558,9155.38,5597.11,3558.27,7.30548,33.4486,20.446,13.0032,6482.41,3963.32,2519.21
-Add11_f2h,15.502,62.8822,38.5801,24.3021,8113.12,4977.95,3135.17,10.9812,44.5638,27.3406,17.2241,5739.52,3521.8,2217.83
-Add11_h2f,11.2293,44.7914,27.2866,17.5048,7976.14,4859.07,3117.07,7.94857,31.74,19.3364,12.4042,5644.45,3438.81,2205.75
-Add12,9.45661,44.0115,27.6225,16.389,9310.33,5843.69,3466.64,6.69292,31.1762,19.5662,11.6103,6590.69,4136.82,2453.95
-Add12_f2h,40.1768,172.415,108.883,63.5318,8582.39,5419.84,3162.55,28.4316,122.029,77.0664,44.9633,6069.24,3832.87,2236.42
-Add12_h2f,10.4892,42.8418,26.8148,16.027,8169.01,5112.99,3056.02,7.41765,30.3184,18.9771,11.3417,5780.72,3618.28,2162.52
-Add13,9.59742,41.731,25.0231,16.7079,8695.68,5214.21,3481.47,6.79463,29.5817,17.7385,11.8435,6156.17,3691.56,2464.67
-Add13_f2h,41.9408,167.231,101.045,66.1867,7973.97,4817.94,3156.03,29.6717,118.333,71.503,46.8306,5639.03,3407.28,2231.81
-Add13_h2f,10.4872,39.7994,23.8049,15.9945,7589.81,4539.64,3050.17,7.41618,28.1695,16.8494,11.3204,5371.29,3212.81,2158.55
-Add14,11.4693,49.588,29.3241,20.2638,8647.95,5114.03,3533.91,8.11133,35.0867,20.7497,14.3374,6118.69,3618.52,2500.24
-Add14_f2h,27.8587,110.353,65.5177,44.8356,7922.71,4703.85,3218.86,19.7031,78.0565,46.3446,31.7133,5603.04,3326.8,2276.35
-Add14_h2f,10.4665,40.3814,23.8416,16.5399,7716.46,4555.89,3160.57,7.40173,28.5808,16.8747,11.7065,5461.05,3224.35,2236.77
-Add15,9.39457,42.3399,26.0019,16.338,9014.62,5536.14,3478.47,6.64916,29.9924,18.4192,11.5736,6380.26,3918.39,2461.94
-Add15_f2h,40.147,165.995,102.472,63.5229,8269.94,5105.32,3164.62,28.4279,117.537,72.5574,44.9805,5848.22,3610.39,2237.87
-Add15_h2f,10.4569,41.0957,25.1843,15.9113,7859.73,4816.65,3043.07,7.39464,29.0899,17.8276,11.2626,5562.97,3409.29,2153.74
-Add16,9.36312,41.8676,26.0997,15.7679,8940.62,5573.43,3367.19,6.62684,29.8234,18.5944,11.2294,6357.34,3963.59,2393.83
-Add16_f2h,40.662,165.398,103.735,61.6634,8136.51,5103.02,3033.49,28.7668,117.041,73.408,43.6342,5755.44,3609.72,2145.76
-Add16_h2f,10.4433,40.5802,25.225,15.3552,7771.59,4830.88,2940.71,7.3846,28.7184,17.8523,10.8664,5499.86,3418.89,2081.03
-Add17,11.2953,49.8165,30.5372,19.2793,8821.06,5407.25,3413.81,7.98744,35.2482,21.6076,13.641,6241.26,3825.96,2415.37
-Add17_f2h,31.2262,125.787,77.5267,48.2602,8058.48,4967.07,3091.41,22.0978,89.0044,54.8545,34.1509,5698.9,3512.81,2186.15
-Add17_h2f,10.4534,40.67,24.8815,15.7885,7780.74,4760.17,3020.57,7.392,28.7841,17.611,11.1736,5506.18,3368.83,2137.45
-Add18,9.33772,41.9974,26.362,15.6354,8997.13,5647.64,3349.49,6.60838,29.7471,18.6729,11.0745,6368.78,3997.95,2370.9
-Add18_f2h,40.52,167.742,105.928,61.8133,8279.12,5228.18,3050.94,28.6686,118.694,74.9571,43.7377,5854.67,3697.22,2157.48
-Add18_h2f,10.4893,41.2948,25.8578,15.437,7874.36,4930.71,2943.64,7.42007,29.2336,18.3062,10.9279,5572.7,3489.61,2083.18
-Add19,9.34031,41.5447,26.3195,15.2252,8899.53,5638.08,3261.45,6.61153,29.4292,18.6449,10.7846,6300.46,3991.71,2308.83
-Add19_f2h,40.5583,165.866,105.817,60.0492,8178.77,5217.79,2960.98,28.6938,117.359,74.8714,42.4879,5783.65,3689.81,2093.86
-Add19_h2f,10.4607,40.9009,25.8358,15.0651,7819.57,4939.38,2880.19,7.39838,28.9539,18.2906,10.6639,5534.12,3496.01,2038.21
-Add1_f2h,27.7102,72.282,37.7708,34.5112,5212.56,2723,2489.56,19.6021,53.3974,28.9158,24.796,3845.92,2081.8,1786.94
-Add1_h2f,20.7976,56.1939,29.1321,27.0618,5404.42,2801.87,2602.56,14.707,41.1458,21.9739,19.3755,3957.28,2113.49,1863.36
-Add2,19.5015,74.6206,46.4565,28.1641,7673.42,4779.3,2894.12,13.7947,53.0278,33.0775,19.9657,5465.36,3412.01,2054.92
-Add20,11.2352,49.6507,30.9293,18.7214,8839.5,5506.45,3333.05,7.95735,35.1825,21.9167,13.266,6254.61,3896.25,2358.38
-Add20_f2h,31.0414,125.831,78.8493,46.9812,8107.56,5080.5,3027.06,21.9778,89.0958,55.8298,33.2664,5733.46,3592.82,2140.65
-Add20_h2f,10.4493,41.12,25.5455,15.5745,7870.47,4889.47,2981,7.38909,29.1003,18.0786,11.0219,5569.71,3460.19,2109.56
-Add21,9.3646,42.9504,26.4829,16.4675,9177.48,5658.87,3518.61,6.65751,30.5527,18.8396,11.7135,6498.66,4007.28,2491.48
-Add21_f2h,8.53298,33.0218,20.3905,12.6312,7739.9,4779.34,2960.57,6.03492,23.3902,14.4432,8.94732,5481.37,3384.74,2096.7
-Add21_h2f,5.65061,21.0508,12.9633,8.08745,7451.76,4588.85,2862.92,3.99628,14.9378,9.19932,5.73878,5287.67,3256.31,2031.46
-Add22,8.76401,41.0048,25.7147,15.2902,9358.69,5869.07,3489.62,6.20359,29.0753,18.2344,10.8413,6629.91,4158.08,2471.93
-Add22_f2h,20.0626,83.8331,52.7203,31.1128,8355.25,5254.22,3101.03,14.2023,59.3731,37.3398,22.0338,5909.48,3716.25,2193.27
-Add22_h2f,5.28191,19.8187,12.4203,7.39838,7501.83,4701.31,2800.52,3.73584,14.076,8.82147,5.25475,5324.53,3336.79,1987.84
-Add23,8.86814,40.4053,24.764,15.6413,9108.08,5582.5,3525.58,6.27795,28.715,17.5981,11.1173,6460.37,3959.65,2500.81
-Add23_f2h,20.3149,81.1815,49.9289,31.2526,7990.12,4914.06,3076.06,14.3871,57.5519,35.3971,22.1552,5654.05,3477.38,2176.71
-Add23_h2f,5.29007,18.9716,11.6231,7.34846,7171.96,4393.94,2778.02,3.74105,13.4814,8.25981,5.22185,5095.23,3121.71,1973.61
-Add24,11.2873,49.7509,30.2964,19.4545,8815.75,5368.47,3447.27,7.98223,35.2025,21.4374,13.7657,6237.44,3798.46,2439.07
-Add24_f2h,14.405,57.1891,34.8867,22.3024,7940.5,4843.94,3096.56,10.1872,40.4599,24.6826,15.7779,5617.28,3426.88,2190.47
-Add24_h2f,5.33388,19.3044,11.7551,7.54925,7310.5,4451.56,2858.94,3.83415,13.6997,8.34285,5.35713,5195.18,3163.71,2031.57
-Add25,8.75476,40.2434,24.9644,15.279,9195.92,5704.85,3491.07,6.19722,28.5635,17.7193,10.8446,6522.5,4046.65,2475.93
-Add25_f2h,20.1161,82.2092,51.1235,31.0857,8171.72,5081.58,3090.13,14.2438,58.2576,36.2306,22.0276,5781.64,3595.38,2186.32
-Add25_h2f,5.27612,19.5688,12.1329,7.43597,7418.53,4599.54,2818.99,3.73158,13.8926,8.61378,5.27904,5266.09,3265.1,2001.08
-Add26,8.7674,40.3179,25.3121,15.0058,9197.87,5774.46,3423.41,6.20711,28.5804,17.9435,10.6371,6512.63,4088.68,2423.99
-Add26_f2h,20.1714,82.6833,52.0254,30.6579,8196.8,5157.5,3039.3,14.2777,58.546,36.8384,21.7078,5797.29,3647.74,2149.57
-Add26_h2f,5.2755,19.4721,12.2095,7.26253,7382.4,4628.99,2753.42,3.73117,13.8207,8.66606,5.15474,5238.94,3285.02,1953.97
-Add27,11.1843,50.4854,31.4916,18.9938,9027.49,5631.16,3396.33,7.9091,35.73,22.288,13.4425,6388.21,3984.94,2403.36
-Add27_f2h,17.215,69.9894,43.7366,26.2528,8132.49,5082.37,3050.12,12.1926,49.5781,30.9806,18.5981,5752.34,3595.04,2157.37
-Add27_h2f,5.28841,19.6402,12.2402,7.40007,7427.35,4628.85,2798.5,3.74078,13.9399,8.68767,5.25242,5269.55,3284.09,1985.53
-Add28,8.73735,40.0918,25.2493,14.8425,9179.93,5781.38,3398.55,6.18426,28.4037,17.8884,10.5155,6499.5,4093.29,2406.26
-Add28_f2h,20.0577,82.5983,52.1453,30.453,8234.96,5198.73,3036.23,14.212,58.5442,36.9609,21.5836,5824.23,3676.89,2147.37
-Add28_h2f,5.33532,19.8316,12.4781,7.35346,7421.97,4670.26,2751.71,3.83712,14.3924,9.0537,5.33892,5266.13,3313.81,1952.39
-Add29,8.73956,39.8315,25.3262,14.5053,9114.93,5795.69,3319.24,6.18539,28.2229,17.9451,10.2782,6452.34,4102.78,2349.66
-Add29_f2h,19.9302,82.4415,52.5543,29.8873,8271.76,5273.03,2998.74,14.1093,58.388,37.2219,21.1665,5850.58,3729.7,2120.93
-Add29_h2f,5.31975,19.701,12.5142,7.18678,7475.14,4748.32,2726.81,3.80674,13.9904,8.88687,5.10378,5314.32,3375.78,1938.64
-Add2_f2h,27.9959,99.3789,62.5849,36.794,7108.69,4477.52,2631.18,19.8106,70.7329,44.6346,26.1164,5062.88,3195.89,1868.28
-Add2_h2f,21.8283,78.8418,48.6398,30.202,7222.01,4455.29,2766.73,15.4364,56.1344,34.7155,21.4366,5140.28,3178.69,1963.21
-Add3,19.3839,84.2165,55.3964,28.8201,8699.77,5723.1,2976.67,13.7121,59.6058,39.2138,20.3932,6162.34,4054.84,2107.63
-Add30,11.2081,50.3589,31.7726,18.5862,8986.61,5669.86,3316.75,7.92595,35.6402,22.487,13.1536,6359.89,4012.74,2347.24
-Add30_f2h,17.4758,71.5971,45.271,26.3262,8195.3,5182.19,3013.12,12.3884,50.7593,32.0942,18.6656,5796.6,3665.49,2131.17
-Add30_h2f,5.27643,19.4931,12.2911,7.20202,7388.83,4658.89,2729.94,3.73199,13.8463,8.73137,5.11513,5246.89,3308.6,1938.37
-Add31,0.396442,1.22564,0.764432,0.461209,6165.78,3846.09,2319.7,0.284326,1.58002,0.98564,0.594413,8102.09,5055.82,3046.44
-Add31_f2h,0.809076,1.36364,0.850185,0.513452,2660.4,1659.12,1001.27,0.636169,1.498,0.93363,0.564389,2743.85,1710.87,1033.03
-Add31_h2f,0.129454,0.0344863,0.0215079,0.0129784,514.231,320.98,193.251,0.0934957,0.085008,0.0529757,0.0320343,1260.83,787.256,473.598
-Add3_f2h,27.9995,113.419,75.4189,38,8101.81,5387.42,2714.39,19.8133,80.4002,53.4775,26.9247,5739.24,3817.49,1921.9
-Add3_h2f,21.828,88.7986,57.8825,30.9161,8136.52,5303.75,2832.77,15.4361,62.9262,41.0275,21.9002,5765.62,3759.19,2006.56
-Add4,25.2021,109.339,69.1431,40.1956,8679.65,5488.99,3190.66,17.8374,77.4612,49.0014,28.4636,6145.82,3888.12,2258.01
-Add4_f2h,54.8381,227.205,145.608,81.5971,8290.89,5313.68,2977.21,38.8148,160.96,103.191,57.7775,5871.03,3764.37,2106.96
-Add4_h2f,20.8082,85.9608,53.9681,31.9927,8261.17,5186.46,3074.71,14.7156,60.8827,38.2401,22.6459,5849.43,3673.87,2175.88
-Add5,18.3902,84.3374,55.4563,28.881,9158.85,6020.58,3138.27,13.0145,59.9538,39.4588,20.5013,6495.82,4272.67,2223.85
-Add5_f2h,52.5577,223.355,147.844,75.5108,8633.1,5736.35,2896.75,41.0843,172.923,114.184,58.7452,6111.46,4062.06,2049.8
-Add5_h2f,21.3908,91.48,59.7227,31.7573,8543.72,5576.36,2967.36,15.1322,64.8702,42.3847,22.4926,6049.21,3950.45,2099.43
-Add6,17.4475,76.3058,49.8737,26.4321,8757.37,5725.3,3032.07,12.3416,53.9826,35.2918,18.696,6200.62,4055.79,2145.43
-Add6_f2h,78.6158,330.238,219.427,110.811,8421.49,5598.56,2822.92,55.6768,233.593,155.218,78.4009,5961.87,3965.63,1996.89
-Add6_h2f,20.8524,85.6316,55.5811,30.0505,8212.43,5330.35,2882.08,14.7456,60.6346,39.379,21.2623,5814.33,3775.95,2039.03
-Add7,24.9686,108.541,68.418,40.1235,8695.27,5481.14,3214.12,17.6568,76.8331,48.4614,28.383,6155.36,3882.66,2273.62
-Add7_f2h,62.7404,259.957,165.983,93.9749,8308.17,5308.25,2999.92,44.4591,183.937,117.441,66.5205,5881.22,3760,2121.98
-Add7_h2f,20.8101,86.1797,53.9434,32.2363,8283.86,5185.4,3098.46,14.7162,61.0198,38.2202,22.8086,5865.81,3674.38,2192.31
-Add8,17.6899,77.5743,50.2264,27.348,8775.77,5682.64,3093.13,12.5138,54.8845,35.5378,19.3485,6210.13,4022.02,2188.31
-Add8_f2h,83.3626,352.496,231.707,120.789,8457.12,5559.21,2897.92,58.9719,249.424,163.976,85.4559,5981.72,3932.59,2049.31
-Add8_h2f,20.8989,85.9449,55.2763,30.6686,8225.31,5290.3,2935.01,14.7816,60.8117,39.1174,21.6967,5818.86,3743.18,2075.91
-Add9,17.6956,75.1977,48.6944,26.5033,8500.24,5504.64,2995.6,12.5184,53.2155,34.46,18.7562,6013.36,3894.4,2119.04
-Add9_f2h,82.8254,337.55,222.322,115.228,8151.08,5368.6,2782.49,58.5965,238.83,157.31,81.5231,5764.4,3796.86,1967.62
-Add9_h2f,20.8517,82.5853,53.0859,29.4994,7921.12,5091.73,2829.38,14.7458,58.4972,37.6036,20.8945,5610.17,3606.42,2003.84
-Conv1,174.622,421.265,201.391,219.874,4799.44,2288.31,2511.12,123.525,321.252,166.184,159.301,3644.22,1880.24,1813.82
-Conv10,90.3128,381.213,233.648,147.565,8444.02,5175.72,3268.3,63.8945,269.653,165.267,104.388,5971.16,3660.1,2311.1
-Conv10_f2h,32.0547,135.935,84.4552,51.4794,8482.08,5270.04,3212.04,22.6804,96.1837,59.7582,36.4267,5998.4,3727.01,2271.46
-Conv10_h2f,10.5675,40.812,24.9802,15.8318,7723.92,4727.67,2996.25,7.47381,28.8877,17.6823,11.206,5466.01,3345.8,2120.33
-Conv11,140.577,589.922,354.18,235.742,8393.31,5039.32,3353.99,99.4117,417.168,250.461,166.709,5935.19,3563.56,2371.67
-Conv11_f2h,15.1273,59.0802,34.3177,24.7625,7812.41,4538.14,3274.27,10.6992,41.7989,24.28,17.5198,5526.88,3210.68,2316.31
-Conv11_h2f,10.5792,42.4989,26.5104,15.9885,8034.13,5011.61,3022.52,7.48174,30.082,18.7653,11.3169,5685.66,3546.75,2138.95
-Conv12,167.515,695.778,426.345,269.434,8307.72,5090.78,3216.94,118.467,492.044,301.501,190.545,5874.73,3599.97,2274.79
-Conv12_f2h,14.881,59.0727,35.667,23.4057,7952.24,4801.46,3150.78,10.5393,41.8586,25.2741,16.585,5631.84,3400.55,2231.35
-Conv12_h2f,10.5947,41.783,26.4937,15.2892,7887.33,5001.18,2886.15,7.493,29.5751,18.7533,10.8221,5581.66,3539.24,2042.45
-Conv13,163.856,684.766,420.14,264.626,8358.58,5128.51,3230.07,115.875,484.236,297.105,187.133,5910.6,3626.58,2284.04
-Conv13_f2h,14.6929,58.143,34.969,23.174,7914.08,4759.78,3154.29,10.3926,41.147,24.7477,16.3996,5598.75,3367.36,2231.44
-Conv13_h2f,10.5613,42.4051,27.0983,15.3068,8030.86,5132,2898.86,7.46856,30.0103,19.1779,10.8326,5683.46,3632,2051.49
-Conv14,166.656,693.932,433.67,260.262,8328.27,5204.82,3123.45,117.858,490.722,306.673,184.051,5889.14,3680.52,2208.65
-Conv14_f2h,14.7899,59.1467,36.4903,22.6564,7995.87,4932.92,3062.95,10.4854,41.9732,25.8964,16.0771,5656.55,3489.75,2166.83
-Conv14_h2f,10.5466,41.836,27.0179,14.8181,7933.62,5123.59,2810.03,7.45794,29.6061,19.1205,10.4858,5614.19,3625.83,1988.41
-Conv15,38.244,164.048,100.733,63.3146,8579.14,5268.08,3311.06,27.046,116.03,71.2479,44.7823,6067.29,3725.73,2341.58
-Conv15_f2h,14.5914,58.2375,35.5473,22.6902,7982.55,4872.46,3110.09,10.3186,41.2036,25.1511,16.0533,5647.33,3447.24,2200.2
-Conv15_h2f,5.36591,19.9204,12.363,7.55743,7424.2,4607.58,2816.61,3.79436,14.1705,8.79504,5.37569,5280.79,3277.55,2003.32
-Conv16,65.7442,285.597,177.243,108.354,8688.58,5392.23,3296.35,46.4938,201.969,125.343,76.6265,6144,3813.07,2330.95
-Conv16_f2h,8.07266,31.1377,19.0284,12.1093,7714.42,4714.32,3000.1,5.70882,22.0551,13.478,8.57725,5463.71,3338.92,2124.82
-Conv16_h2f,5.37147,20.4791,12.9421,7.53703,7625.01,4818.74,2806.27,3.79835,14.5391,9.18856,5.35066,5413.07,3421,1992.12
-Conv17,42.064,181.248,112.411,68.8372,8619.77,5346.16,3273.62,29.7779,128.287,79.5627,48.7247,6095.56,3780.63,2314.96
-Conv17_f2h,16.9562,69.8631,43.5974,26.2657,8239.64,5141.83,3097.8,12.0049,49.482,30.8794,18.6029,5827.98,3636.93,2191.09
-Conv17_h2f,5.36951,19.8329,12.2666,7.56627,7386.95,4568.8,2818.14,3.7977,14.0692,8.70208,5.36729,5238.68,3240.19,1998.54
-Conv18,67.3709,286.812,175.784,111.027,8515.35,5219.14,3296.21,47.6566,202.876,124.339,78.5384,6021.72,3690.82,2330.93
-Conv18_f2h,8.03381,30.3417,18.3174,12.0243,7553.07,4559.83,2993.24,5.68152,21.5474,13.0086,8.539,5363.11,3237.82,2125.33
-Conv18_h2f,5.36257,20.0592,12.5343,7.52491,7480.48,4674.3,2806.19,3.79235,14.2331,8.89391,5.33933,5306.51,3315.91,1990.66
-Conv19,80.3214,341.92,212.062,129.858,8514.78,5281.11,3233.67,56.8122,241.827,149.981,91.8466,6021.13,3734.55,2286.62
-Conv19_f2h,8.10378,31.2805,19.2244,12.0561,7714.35,4741.22,2973.13,5.74732,22.2537,13.6761,8.5778,5464.6,3358.57,2106.07
-Conv19_h2f,5.41437,20.2452,12.8106,7.43458,7545.76,4774.79,2770.98,3.86967,14.3806,9.10008,5.28076,5364.57,3394.74,1969.92
-Conv1_f2h,6.3224,13.0911,5.82586,7.26522,4088.68,1806.81,2281.87,4.50384,10.2562,5.13352,5.33075,3166.3,1578.37,1655.62
-Conv1_h2f,20.9136,52.8942,27.7814,25.1128,5059.28,2657.42,2401.86,14.789,39.2661,21.4514,18.0694,3756.14,2052.16,1728.3
-Conv2,307.782,1024.12,595.423,428.699,6653.72,3868.33,2785.39,217.646,734.491,430.209,305.079,4771.02,2794.33,1981.87
-Conv20,78.1278,333.871,207.881,125.989,8547.41,5322.05,3225.36,55.2511,236.106,147.009,89.0988,6044.29,3763.53,2280.79
-Conv20_f2h,8.0013,30.8855,19.0615,11.824,7719.03,4763.93,2955.1,5.65835,21.9342,13.5377,8.39683,5481.37,3383.09,2098.36
-Conv20_h2f,5.3629,19.8115,12.5793,7.23219,7388.9,4691.57,2697.33,3.79279,14.0609,8.92816,5.1329,5243.67,3329.52,1914.21
-Conv21,80.2786,343.147,215.866,127.282,8549.99,5378.74,3171.25,56.7803,242.685,152.666,90.0207,6046.01,3803.58,2242.47
-Conv21_f2h,8.01787,30.88,19.2978,11.5821,7702.66,4813.67,2888.99,5.67027,21.8781,13.6724,8.20592,5456.47,3410.01,2046.52
-Conv21_h2f,5.37001,20.3721,13.0519,7.3202,7587.08,4860.82,2726.26,3.79825,14.4575,9.26289,5.19478,5382.54,3448.52,1934.07
-Conv2_f2h,27.627,79.905,40.5987,39.3063,5780.5,2936.19,2844.31,19.5433,58.0274,30.2178,28.055,4192.93,2182.46,2028.31
-Conv2_h2f,20.9352,73.9105,47.1414,26.7692,7060.33,4503.14,2557.2,14.8049,52.7684,33.7394,19.0438,5039.88,3222.35,1818.95
-Conv3,309.083,1232.59,785.441,447.15,7978.42,5084.33,2894.09,218.568,873.993,557.401,316.681,5658.77,3609.32,2050.03
-Conv3_f2h,27.8734,103.065,61.5928,41.4719,7402.94,4425.27,2977.67,19.7311,73.258,43.8773,29.4084,5262.47,3153.68,2110.77
-Conv3_h2f,20.9195,84.5406,56.8816,27.659,8083.02,5438.55,2644.47,14.7928,59.8999,40.3131,19.5884,5727.3,3854.57,1872.89
-Conv4,322.719,1401.3,895.195,506.101,8698.14,5558.46,3139.68,228.36,990.931,633.099,357.9,6156.32,3935.77,2220.97
-Conv4_f2h,27.8507,115.914,70.2976,45.6165,8325.55,5049.3,3276.25,19.7057,82.0999,49.8158,32.291,5894.33,3576.74,2318.09
-Conv4_h2f,20.9916,91.4069,61.7262,29.6807,8709.15,5881.22,2827.93,14.8444,64.6849,43.6858,21,6162.81,4162.15,2000.74
-Conv5,342.079,1466.82,953.788,513.027,8625.68,5618.29,3007.38,243.025,1037.96,674.59,363.661,6110.16,3984.53,2127.34
-Conv5_f2h,29.7996,126.901,80.1563,46.7446,8541.6,5399.26,3142.34,21.1314,89.8283,56.7306,33.108,6046.59,3824.36,2222.92
-Conv5_h2f,21.0449,89.4069,60.7654,28.6415,8496.02,5774.26,2721.76,14.8823,63.3142,43.0491,20.2693,6015.41,4089.96,1925.85
-Conv6,366.167,1544.8,970.645,574.154,8437.56,5301.57,3135.99,258.931,1092.95,686.959,406.064,5969.24,3751.88,2217.78
-Conv6_f2h,29.7189,123.016,74.1021,48.9137,8298.6,5003.1,3295.51,21.0821,87.1348,52.4765,34.6703,5873.05,3542.91,2330.96
-Conv6_h2f,21.0334,89.908,60.4888,29.4191,8548.78,5751.46,2797.32,14.8743,63.6171,42.8066,20.812,6048.14,4069.61,1978.68
-Conv7,370.721,1526.79,975.829,550.957,8238.3,5265.69,2972.61,262.168,1079.73,690.151,389.613,5826.45,3724.58,2102.05
-Conv7_f2h,28.6144,117.921,73.4724,44.4486,8244.58,5137.45,3107.13,20.2404,83.4145,51.9759,31.4423,5831.8,3634.58,2197.47
-Conv7_h2f,20.9627,85.9711,57.9984,27.9727,8202.44,5533.61,2668.84,14.8231,60.8081,41.0246,19.7842,5801.7,3914.18,1887.59
-Conv8,85.7697,364.625,220.731,143.895,8503.51,5147.94,3355.57,60.6542,257.845,156.091,101.757,6013.43,3640.68,2372.84
-Conv8_f2h,28.2226,114.351,68.3001,46.0511,8103.03,4839.74,3263.29,19.9598,80.8973,48.3224,32.5765,5731.14,3423.29,2307.96
-Conv8_h2f,10.5944,42.4202,26.1786,16.2416,8007.38,4941.51,3065.88,7.49241,30.028,18.5325,11.496,5666.85,3497.34,2169.6
-Conv9,138.631,604.548,373.126,231.422,8721.95,5383.25,3338.7,98.0322,427.509,263.864,163.649,6167.67,3806.87,2360.86
-Conv9_f2h,14.972,60.9,36.4674,24.4325,8135.05,4871.29,3263.76,10.589,43.0913,25.8049,17.2872,5754.87,3446.19,2308.78
-Conv9_h2f,10.6041,44.2087,28.2382,15.9704,8337.89,5325.84,3012.05,7.49957,31.2942,19.9899,11.3047,5900.93,3769.39,2131.62
-Mul1,1.17541,5.23179,3.26342,1.96837,9516.94,5936.74,3580.2,0.876982,4.143,2.58393,1.55914,7779.43,4853.1,2926.46
-Mul1_f2h,0.866649,1.15065,0.717796,0.432853,2581.39,1610.48,970.91,0.63788,1.21901,0.760487,0.45855,2684.43,1674.92,1009.55
-Mul1_h2f,0.182164,0.0453634,0.0282781,0.0170852,423.822,264.119,159.703,0.132397,0.122776,0.0765148,0.0462633,1112.34,692.957,419.399
-Pool1,5.19545,23.3959,14.6038,8.79204,9005.65,5621.39,3384.26,3.67464,16.5981,10.3611,6.23727,6386.83,3986.88,2400.04
-Pool1_f2h,7.76594,29.7619,18.5909,11.171,7665.15,4788.08,2877.06,5.49184,21.0853,13.1714,7.9142,5430.35,3392.22,2038.2
-Pool1_h2f,0.247834,0.0992326,0.0620025,0.0372301,788.32,492.524,295.796,0.176061,0.193642,0.121002,0.0726439,1528.12,954.657,573.489
-Relu1,15.7218,47.6272,24.3858,23.2413,6068.37,3109.12,2959.26,11.12,34.6311,18.1982,16.591,4417.52,2323.69,2113.76
-Relu10,7.86875,36.0799,21.9123,14.1676,9171.18,5569.92,3601.25,5.56493,25.5542,15.5208,10.0338,6495.21,3945.03,2550.3
-Relu10_f2h,14.7797,59.1119,36.0231,23.0889,7999.45,4875.03,3124.43,10.4543,41.8299,25.4918,16.3388,5659.12,3448.94,2210.27
-Relu10_h2f,10.4938,41.2344,25,16.2344,7859.14,4764.95,3094.19,7.42133,29.1837,17.6947,11.4895,5561.82,3372.3,2189.62
-Relu11,8.59732,38.8844,23.5484,15.3361,9045.57,5477.91,3567.66,6.08155,27.547,16.6833,10.8639,6405.63,3879.35,2526.35
-Relu11_f2h,14.7683,58.4599,35.5476,22.9123,7916.54,4813.8,3102.74,10.4441,41.3655,25.1536,16.2123,5600.65,3405.66,2195.05
-Relu11_h2f,11.0992,43.4074,26.2047,17.2027,7820.83,4721.3,3099.53,7.85061,30.7308,18.5528,12.1783,5534.58,3341.23,2193.41
-Relu12,7.85466,36.5025,22.6357,13.8668,9292.64,5762.53,3530.1,5.55462,26.0339,16.1441,9.89001,6622.72,4106.96,2515.83
-Relu12_f2h,14.3058,56.635,35.2456,21.3894,7924.65,4931.75,2992.9,10.1179,40.145,24.9837,15.1618,5617.17,3495.78,2121.45
-Relu12_h2f,10.4801,41.3643,25.6069,15.7575,7893.64,4886.59,3007.04,7.41178,29.2778,18.1254,11.1528,5586.04,3458.19,2127.9
-Relu13,8.56125,39.5474,24.3571,15.1903,9237.04,5689.16,3547.87,6.05455,28.1545,17.3375,10.8174,6571.95,4047.17,2524.85
-Relu13_f2h,14.7184,58.0328,35.8934,22.1394,7898.2,4885.07,3013.13,10.4134,41.0859,25.4118,15.6744,5593.87,3459.87,2134.05
-Relu13_h2f,11.0576,43.5721,26.7531,16.819,7881.1,4838.94,3042.16,7.82003,30.8389,18.9355,11.9037,5577.37,3424.54,2152.88
-Relu14,3.97634,19.8199,12.1465,7.6734,9965.36,6107.18,3858.18,2.81232,14.0894,8.63491,5.45462,7079.91,4338.99,2741
-Relu14_f2h,7.82028,30.3544,18.6345,11.72,7763.83,4766.17,2997.66,5.53103,21.5062,13.2029,8.30349,5500.08,3376.57,2123.59
-Relu14_h2f,5.27702,19.5391,11.9656,7.57355,7405.25,4534.9,2870.36,3.73208,13.8726,8.4959,5.37685,5256.59,3219.25,2037.4
-Relu15,4.46626,21.8376,13.2267,8.61093,9781.82,5924.68,3857.13,3.15993,15.5046,9.39167,6.11315,6943.47,4205.89,2737.67
-Relu15_f2h,7.89618,29.6604,18.0015,11.6589,7507.67,4556.56,2951.11,5.60608,21.1257,12.8217,8.30428,5317.97,3227.59,2090.44
-Relu15_h2f,5.52563,20.1041,12.1597,7.94437,7274.55,4399.92,2874.63,3.90829,14.2691,8.63063,5.63864,5160.14,3121.08,2039.12
-Relu16,3.96712,20.0653,12.3763,7.689,10117.4,6240.44,3876.96,2.80579,14.2471,8.7882,5.45913,7183.49,4431.09,2752.52
-Relu16_f2h,7.75796,29.607,18.2965,11.3105,7632.82,4716.92,2915.9,5.48702,20.9737,12.9613,8.01269,5405.95,3340.76,2065.26
-Relu16_h2f,5.27422,19.6466,12.1051,7.54152,7449.65,4590.04,2859.6,3.73078,13.9436,8.59179,5.35198,5285.08,3256.59,2028.56
-Relu17,4.46968,21.963,13.6141,8.34894,9828.48,6092.31,3736.18,3.16255,15.5965,9.66821,5.92856,6975.6,4324.14,2651.58
-Relu17_f2h,8.1633,31.6672,19.672,11.9952,7758.66,4819.83,2938.83,5.77354,22.4306,13.9347,8.4963,5494.62,3413.55,2081.16
-Relu17_h2f,5.53729,20.6582,12.7873,7.87092,7461.37,4618.48,2842.9,3.91618,14.6649,9.07828,5.5869,5295.73,3278.22,2017.6
-Relu18,3.96121,19.9626,12.504,7.45868,10080,6313.84,3766.17,2.80174,14.1804,8.88221,5.29831,7159.1,4484.31,2674.84
-Relu18_f2h,7.75018,29.9637,18.8008,11.1629,7732.03,4851.48,2880.55,5.4848,21.2416,13.3283,7.91355,5476.67,3436.38,2040.34
-Relu18_h2f,5.25633,19.6445,12.2951,7.34942,7474.65,4678.23,2796.42,3.71689,13.9391,8.72404,5.21518,5303.65,3319.39,1984.31
-Relu19,4.48848,22.1017,13.8543,8.24737,9855.95,6178.04,3677.91,3.18658,15.7342,9.86359,5.87074,6998.62,4387.13,2611.56
-Relu19_f2h,8.14713,31.7315,19.936,11.7955,7788.29,4893.2,2895.1,5.76233,22.481,14.1242,8.35708,5515.4,3465.21,2050.25
-Relu19_h2f,5.53758,20.7902,13.0137,7.77652,7509.53,4700.58,2808.94,3.91635,14.7505,9.2334,5.51724,5327.62,3334.91,1992.78
-Relu1_f2h,27.4697,75.5402,38.6841,36.8561,5510.99,2824.48,2686.52,19.4328,55.1294,29.0815,26.3358,4027.76,2127.42,1921.08
-Relu1_h2f,20.8432,59.4527,30.4349,29.0178,5705.97,2921.25,2784.72,14.7403,43.2523,22.743,20.713,4151.39,2183.21,1987.71
-Relu2,15.6922,62.2018,37.6932,24.5087,7928.92,4804.97,3123.95,11.0981,44.251,26.8823,17.3847,5640.39,3426.77,2215.66
-Relu2_f2h,27.4183,99.9831,61.0632,38.9199,7289.67,4451.68,2837.98,19.3974,71.2089,43.604,27.6298,5186.27,3175.2,2012.89
-Relu2_h2f,20.833,77.2117,46.7116,30.5001,7413.36,4485.02,2928.34,14.733,54.8865,33.2729,21.6286,5269.9,3194.8,2076.54
-Relu3,16.7972,74.5864,45.9807,28.6058,8880.69,5474.72,3405.97,11.8791,52.8166,32.5723,20.2471,6287.66,3877.63,2410.37
-Relu3_f2h,27.5363,113.932,70.807,43.1255,8274.93,5142.95,3131.98,19.4862,80.7269,50.1877,30.5436,5858.58,3642.6,2216.3
-Relu3_h2f,21.969,91.4346,55.9909,35.4437,8323.89,5097.22,3226.67,15.5355,64.7301,39.6523,25.081,5892.34,3609.53,2283.11
-Relu4,15.7301,72.5141,46.4394,26.0747,9222.54,5906.65,3315.89,11.1258,51.3576,32.9074,18.4553,6532.12,4185.96,2346.8
-Relu4_f2h,27.4947,117.455,75.7723,41.6831,8542.99,5511.04,3031.95,19.4508,83.1966,53.701,29.5038,6047.59,3903.27,2144.91
-Relu4_h2f,20.8274,89.0752,56.8414,32.2339,8553.76,5458.43,3095.33,14.7283,63.0717,40.27,22.8082,6056.29,3866.87,2190.05
-Relu5,17.3272,77.2477,47.3925,29.8552,8915.61,5469.7,3445.92,12.2651,54.7406,33.6028,21.1449,6311.35,3874.11,2438.06
-Relu5_f2h,30.181,124.467,77.0351,47.4321,8235.63,5094.97,3140.67,21.369,88.3475,54.7363,33.6223,5829.28,3608.44,2221.57
-Relu5_h2f,21.9931,91.2,55.5979,35.6021,8293.67,5056.11,3237.57,15.5589,64.5961,39.4043,25.2004,5871.35,3581.64,2290.5
-Relu6,15.8935,70.7734,44.6559,26.1175,8909.94,5622.41,3287.53,11.2415,50.1636,31.6568,18.5089,6317.03,3987.22,2330.08
-Relu6_f2h,29.4192,120.534,76.6245,43.9095,8205.47,5217.71,2987.77,20.8359,85.3161,54.229,31.0903,5806.09,3692.5,2113.8
-Relu6_h2f,20.9166,86.1995,54.1674,32.0321,8242.75,5179.8,3062.95,14.7909,60.9747,38.322,22.6552,5830.79,3664.73,2166.31
-Relu7,16.8139,72.987,44.3367,28.6503,8682.5,5274.35,3408.15,11.8908,51.6385,31.3713,20.2688,6142.58,3731.84,2410.93
-Relu7_f2h,28.3017,113.854,69.72,44.1342,8047.34,4928.22,3119.11,20.0174,80.5279,49.3132,31.2168,5691.5,3485.8,2205.85
-Relu7_h2f,22.041,89.2722,53.8809,35.3913,8101.07,4889.65,3211.41,15.6007,63.1996,38.1463,25.0552,5730.02,3458.88,2271.31
-Relu8,8.6595,40.1854,24.2306,15.9548,9283.68,5598.03,3685.64,6.13232,28.4788,17.1721,11.3072,6572.26,3963.36,2609.04
-Relu8_f2h,15.0619,61.1893,37.0436,24.1457,8125.34,4919.08,3206.27,10.652,43.2952,26.2123,17.0839,5748.51,3480.4,2268.24
-Relu8_h2f,10.7582,43.1574,25.9549,17.2025,8022.66,4824.84,3197.82,7.60841,30.5473,18.3724,12.1756,5677.22,3414.52,2262.83
-Relu9,8.57887,38.5238,22.5326,15.9912,8978.24,5251.35,3726.89,6.06691,27.4339,16.0488,11.3857,6387.85,3736.81,2651.17
-Relu9_f2h,14.4553,55.9886,32.856,23.1325,7749.62,4547.83,3201.79,10.2233,39.6978,23.2972,16.4014,5494.46,3224.62,2269.95
-Relu9_h2f,11.1054,43.0539,25.1182,17.9357,7754,4523.73,3230.27,7.85503,30.4771,17.782,12.6957,5487.43,3201.59,2285.95
-Softmax1,2.22516,6.67368,4.16081,2.51286,5989.43,3734.33,2255.1,1.57533,4.88219,3.04381,1.83848,4370.27,2724.81,1645.55
diff --git a/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_fp32.csv b/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_fp32.csv
deleted file mode 100644
index 1c825c847259023cf9ab4d78b89dda08710ec175..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_fp32.csv
+++ /dev/null
@@ -1,74 +0,0 @@
-Add1,21.6934,58.7548,31.0822,27.6726,5431.3,2876.93,2554.37,15.3418,45.0353,25.8605,19.9268,4170.35,2397.52,1841.24
-Add10,32.0305,157.253,106.44,50.8121,9819.95,6647.01,3172.94,22.6511,111.473,75.5251,35.9672,6961.24,4716.53,2245.89
-Add11,13.2849,62.5018,41.4729,21.0289,9426.61,6255.38,3171.23,9.39853,44.3375,29.446,14.8999,6690.48,4443.87,2247.88
-Add12,13.3116,62.903,42.3375,20.5655,9473.31,6376.28,3097.03,9.4262,44.5564,30.0016,14.5585,6714.71,4521.5,2193.76
-Add13,13.2261,60.7273,40.0247,20.7027,9184.29,6053.35,3130.94,9.35469,43.0083,28.3589,14.6532,6503.87,4288.67,2215.77
-Add14,18.2347,85.0395,55.6313,29.4083,9327.04,6101.58,3225.47,12.8946,60.2002,39.3989,20.8069,6602.17,4320.89,2281.89
-Add15,13.201,61.5741,40.8812,20.6929,9329.61,6194.38,3135.23,9.33612,43.6009,28.9576,14.646,6605.87,4387.49,2218.81
-Add16,13.1048,61.3472,41.1577,20.1895,9363.36,6282.02,3081.34,9.26961,43.4341,29.1451,14.2906,6627.73,4447.56,2180.42
-Add17,18.074,85.9011,57.2285,28.6726,9505.77,6332.9,3172.88,12.7825,60.7891,40.5063,20.2854,6725.93,4481.8,2244.41
-Add18,13.0014,61.4375,41.4414,19.9961,9451.79,6375.57,3076.22,9.19633,43.4954,29.3433,14.1535,6689.95,4513.32,2176.85
-Add19,12.9281,61.0404,41.4361,19.6043,9443.71,6410.78,3032.93,9.14237,43.1927,29.3243,13.8701,6682.35,4536.91,2145.7
-Add2,21.6463,74.901,45.7092,29.1918,6924.08,4226.11,2697.96,15.3072,54.6989,34.0441,20.8568,5058.68,3149.19,1928.09
-Add20,18.0244,86.3285,58.1531,28.1754,9582.35,6454.96,3127.39,12.7469,61.1622,41.2057,19.9583,6788.91,4573.83,2215.28
-Add21,11.443,53.5959,35.9335,17.6624,9368.34,6281.11,3087.23,8.0933,37.9341,25.4348,12.5,6629.85,4445.42,2184.56
-Add22,11.2802,53.8629,36.7609,17.102,9550.59,6518.28,3032.31,7.97721,38.1207,26.0183,12.103,6758.92,4613.25,2145.78
-Add23,11.4043,53.4182,36.0306,17.3876,9367.74,6318.51,3049.23,8.06561,37.8152,25.5087,12.3072,6629.92,4472.24,2157.8
-Add24,14.1964,67.2674,45.1882,22.0792,9476.37,6365.9,3110.47,10.0397,47.6016,31.9802,15.6223,6704.74,4504.4,2200.47
-Add25,11.4019,54.4409,37.1263,17.3146,9550.12,6512.81,3037.31,8.06306,38.5289,26.2759,12.2533,6758.64,4609.3,2149.39
-Add26,11.389,54.7724,37.8032,16.9691,9618.53,6638.66,2979.88,8.05392,38.7645,26.7556,12.0092,6806.88,4698.25,2108.68
-Add27,14.534,71.0934,48.8721,22.2213,9782.97,6725.16,3057.81,10.2779,50.3048,34.583,15.7223,6921.71,4758.46,2163.32
-Add28,11.3928,55.6158,38.6494,16.9664,9763.99,6785.38,2978.61,8.05735,39.362,27.355,12.0073,6909.78,4802.07,2107.78
-Add29,11.3734,55.2916,38.7026,16.589,9723.57,6806.29,2917.28,8.04323,39.1303,27.3912,11.7396,6881.02,4816.78,2064.32
-Add3,21.6875,87.1673,56.8165,30.3508,8044.5,5244.29,2800.21,15.3377,62.5303,41.0116,21.5851,5774.2,3788.18,1992.12
-Add30,14.737,73.1106,50.9526,22.158,9922.47,6915.21,3007.26,10.4237,51.7335,36.0556,15.6783,7019.51,4892.23,2127.34
-Add31,0.224655,0.0762958,0.0528715,0.0234243,659.266,456.971,202.295,0.159906,0.176819,0.122519,0.0543026,1530.64,1061.12,469.546
-Add4,31.9722,131.604,84.4071,47.197,8233.73,5281.05,2952.68,22.61,94.3563,60.9261,33.5436,5903.71,3812.26,2098.54
-Add5,21.6558,98.7438,66.2685,32.4754,9121.5,6121.82,2999.68,15.3155,70.2815,47.2673,23.0367,6492.68,4366.94,2127.81
-Add6,21.6444,102.842,70.2169,32.6251,9505.17,6490.1,3015.08,15.3068,73.0591,49.9573,23.1196,6753.39,4618.34,2136.68
-Add7,31.9182,154.555,104.005,50.5501,9684.68,6517.16,3167.52,22.5717,109.752,73.9651,35.8127,6876.69,4634.46,2243.88
-Add8,21.6322,107.553,73.8345,33.7187,9945.81,6827.96,3117.85,15.2981,76.4125,52.5414,23.892,7066.74,4859.42,2209.25
-Add9,21.8129,104.865,72.0378,32.8272,9617.72,6607.25,3010.47,15.4261,74.3584,51.1311,23.241,6820.84,4690.62,2131.47
-Conv1,96.2953,255.037,132.22,122.817,5159.09,2638.34,2520.75,68.2526,204.018,117.903,90.0101,4055.42,2323.39,1823.93
-Conv10,70.4671,340.841,226.917,113.924,9673.98,6440.5,3233.48,49.8536,241.418,160.812,80.6306,6848.59,4561.91,2287.37
-Conv11,129.334,614.475,398.927,215.548,9503.33,6169.85,3333.48,91.4697,434.917,282.486,152.474,6725.99,4368.85,2357.8
-Conv12,129.068,617.019,406.726,210.293,9562.46,6303.54,3258.92,91.2758,436.559,287.85,148.736,6765.83,4461.37,2304.88
-Conv13,129.135,621.204,409.93,211.274,9622.23,6349.82,3272.41,91.3223,439.472,290.061,149.429,6807.38,4493.24,2314.43
-Conv14,129.174,625.346,417.91,207.436,9683.85,6471.74,3212.11,91.3536,442.335,295.64,146.707,6849.89,4578.44,2271.64
-Conv15,61.1393,299.396,199.643,99.7523,9796.81,6532.83,3263.98,43.2444,211.769,141.223,70.5503,6929.6,4621.32,2308.42
-Conv16,84.5931,417.41,280.311,137.099,9869.83,6628.22,3241.61,59.8259,295.223,198.268,96.9599,6980.4,4688.15,2292.36
-Conv17,36.7136,180.084,122.113,57.9714,9812.69,6654.16,3158.53,25.9732,127.397,86.3877,41.0109,6940.16,4706.54,2233.71
-Conv18,84.6165,415.961,279.353,136.608,9832.95,6603.82,3229.13,59.8443,294.189,197.58,96.6131,6953.97,4670.58,2283.48
-Conv19,84.5493,420.587,286.448,134.139,9950.05,6776.78,3173.27,59.7919,297.44,202.583,94.8602,7036.73,4792.81,2243.99
-Conv2,167.13,533.192,304.506,228.686,6388.94,3650.52,2738.43,118.195,395.752,235.038,163.802,4746.52,2820.79,1962.43
-Conv20,84.5033,424.692,291.118,133.574,10052.5,6890.93,3161.61,59.759,300.336,205.879,94.46,7109.04,4873.38,2235.73
-Conv21,84.5829,428.664,296.983,131.681,10137.1,7023.19,3113.87,59.8165,303.148,210.028,93.1228,7168.75,4966.83,2201.97
-Conv3,167.964,647.325,407.112,240.213,7707.18,4847.1,2860.08,118.79,467.662,297.418,171.175,5566.56,3540.11,2037.55
-Conv4,167.592,744.048,484.83,259.218,8881.63,5787.69,3093.94,118.526,530.921,347.314,183.963,6338.14,4146.67,2195.7
-Conv5,177.005,835.874,561.072,274.802,9500.55,6383.92,3116.64,125.364,591.914,397.787,194.351,6756.17,4549.8,2208.86
-Conv6,218.988,1050.1,698.053,352.047,9847.98,6588.16,3259.83,159.09,748.601,496.158,252.938,7006.45,4702.25,2308.95
-Conv7,264.136,1280.25,861.007,419.244,9708.54,6531.25,3177.29,186.823,907.588,611.208,296.66,6890.93,4643.37,2249.66
-Conv8,100.507,490.584,323.717,166.867,9761,6440.68,3320.32,71.0869,347.741,229.7,118.109,6916.34,4568.28,2349.42
-Conv9,129.091,627.118,413.499,213.62,9716.34,6406.64,3309.7,91.291,444.149,293.072,151.141,6880.99,4540.5,2341.49
-Mul1,0.500934,0.486919,0.337278,0.14964,1850.52,1282.1,568.424,0.361084,0.684926,0.474355,0.210576,2540.71,1760.3,780.419
-Pool1,7.47447,35.1354,24.3713,10.764,9455.2,6558.7,2896.5,5.30974,24.9294,17.2922,7.63735,6710.44,4654.93,2055.55
-Relu1,19.1763,53.4017,28.007,25.3948,5567.29,2919.23,2648.06,13.5622,40.6992,23.0638,18.2718,4241.1,2402.95,1904.65
-Relu10,9.40207,43.1235,28.5091,14.6144,9172.92,6064.26,3108.66,6.64869,30.5546,20.2073,10.3494,6498.77,4297.98,2201.24
-Relu11,9.41748,43.1252,28.5286,14.5966,9164.63,6062.75,3101.88,6.66047,30.6133,20.2564,10.3587,6504.87,4304.29,2200.96
-Relu12,9.36322,43.724,29.3495,14.3744,9339.53,6269.12,3070.41,6.6214,30.9587,20.7838,10.1759,6612.24,4439.05,2173.4
-Relu13,9.40974,43.6635,29.1918,14.4716,9280.16,6204.35,3075.81,6.6551,30.9301,20.6807,10.25,6572.25,4394.33,2178.05
-Relu14,4.80981,20.8303,13.9278,6.90257,8662.5,5792.07,2870.43,3.40296,14.8309,9.91719,4.91395,6164.1,4121.99,2042.24
-Relu15,4.87483,20.4251,13.6704,6.7547,8463.01,5664.4,2798.61,3.50721,14.5206,9.71904,4.80188,6020.04,4029.63,1990.55
-Relu16,4.86403,20.6177,14.0222,6.5955,8564.49,5824.72,2739.77,3.49763,14.6509,9.9643,4.68671,6092.52,4143.6,1948.97
-Relu17,4.81198,21.0221,14.3894,6.63266,8734.67,5978.78,2755.88,3.40391,14.9788,10.2531,4.72591,6219.34,4257.18,1962.25
-Relu18,4.8106,21.1957,14.6867,6.509,8812.82,6106.5,2706.32,3.40271,15.0581,10.4344,4.62392,6259.54,4337.51,1922.11
-Relu19,4.81593,21.5459,14.9597,6.58625,8949.06,6213.41,2735.65,3.40702,15.3081,10.6291,4.67908,6356.15,4413.28,1942.92
-Relu2,19.0626,66.8226,40.3526,26.4701,7014.02,4236.15,2777.88,13.4814,48.633,29.9128,18.8899,5105.81,3141.06,1982.51
-Relu3,19.0941,78.945,49.9544,28.9906,8264.08,5228.56,3035.53,13.5031,56.5704,36.0347,20.6026,5917.81,3768.6,2156.24
-Relu4,19.1928,87.579,58.1748,29.4042,9138.5,6070.31,3068.19,13.5876,62.3198,41.4872,20.8544,6504.83,4330.45,2176.66
-Relu5,19.1354,92.4142,61.363,31.0513,9656.77,6411.83,3244.94,13.5331,65.6453,43.6566,22.0048,6856.9,4559.75,2298.84
-Relu6,19.1447,95.3407,64.7883,30.5524,9960.4,6768.59,3191.81,13.5399,67.727,46.0989,21.6475,7074.5,4815.39,2261.14
-Relu7,19.0951,93.1857,62.2371,30.9487,9757.72,6516.69,3241.03,13.5037,66.0793,44.1769,21.9139,6916.8,4623.74,2294.28
-Relu8,9.48155,43.6732,28.8388,14.8344,9253.12,6110.32,3142.8,6.73217,30.9767,20.4743,10.5085,6568.69,4341.77,2228.2
-Relu9,9.39785,42.293,27.4628,14.8302,8999.41,5843.66,3155.75,6.64609,29.965,19.467,10.5012,6374.39,4141.04,2234.03
-Softmax1,2.04054,7.19751,4.98957,2.20793,7058.19,4893.15,2165.04,1.44402,5.29548,3.67114,1.62439,5192.94,3600.29,1592.7
diff --git a/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_layers.txt b/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_layers.txt
deleted file mode 100644
index 6837e87207b24eec8c1913275aa742824a67f74f..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_layers.txt
+++ /dev/null
@@ -1,41 +0,0 @@
-Conv1,2000,3,32,32,16,3,3,3,1,1
-Conv2,2000,16,32,32,16,16,3,3,1,1
-Conv3,2000,16,32,32,16,16,3,3,1,1
-NML1
-NML2
-Conv4,2000,16,32,32,16,16,3,3,1,1
-Conv5,2000,16,32,32,16,16,3,3,1,1
-NML3
-NML4
-Conv6,2000,16,32,32,16,16,3,3,1,1
-Conv7,2000,16,32,32,16,16,3,3,1,1
-NML5
-NML6
-Conv8,2000,16,32,32,32,16,3,3,2,2
-Conv9,2000,32,16,16,32,32,3,3,1,1
-Conv10,2000,16,32,32,32,16,1,1,2,2
-NML7
-NML8
-Conv11,2000,32,16,16,32,32,3,3,1,1
-Conv12,2000,32,16,16,32,32,3,3,1,1
-NML9
-NML10
-Conv13,2000,32,16,16,32,32,3,3,1,1
-Conv14,2000,32,16,16,32,32,3,3,1,1
-NML11
-NML12
-Conv15,2000,32,16,16,64,32,3,3,2,2
-Conv16,2000,64,8,8,64,64,3,3,1,1
-Conv17,2000,32,16,16,64,32,1,1,2,2
-NML13
-NML14
-Conv18,2000,64,8,8,64,64,3,3,1,1
-Conv19,2000,64,8,8,64,64,3,3,1,1
-NML15
-NML16
-Conv20,2000,64,8,8,64,64,3,3,1,1
-Conv21,2000,64,8,8,64,64,3,3,1,1
-NML17
-NML18
-NML19
-FC1,2000,64,64,10
diff --git a/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_ops.txt b/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_ops.txt
deleted file mode 100644
index 86795a48547725b624c69f8768a4f7e53103d623..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_ops.txt
+++ /dev/null
@@ -1,114 +0,0 @@
-#Conv1,3
-Conv1
-Add1
-Relu1
-#Conv2,3
-Conv2
-Add2
-Relu2
-#Conv3,2
-Conv3
-Add3
-#NML1,1
-Add4
-#NML2,1
-Relu3
-#Conv4,3
-Conv4
-Add5
-Relu4
-#Conv5,2
-Conv5
-Add6
-#NML3,1
-Add7
-#NML4,1
-Relu5
-#Conv6,3
-Conv6
-Add8
-Relu6
-#Conv7,2
-Conv7
-Add9
-#NML5,1
-Add10
-#NML6,1
-Relu7
-#Conv8,3
-Conv8
-Add11
-Relu8
-#Conv9,2
-Conv9
-Add12
-#Conv10,2
-Conv10
-Add13
-#NML7,1
-Add14
-#NML8,1
-Relu9
-#Conv11,3
-Conv11
-Add15
-Relu10
-#Conv12,2
-Conv12
-Add16
-#NML9,1
-Add17
-#NML10,1
-Relu11
-#Conv13,3
-Conv13
-Add18
-Relu12
-#Conv14,2
-Conv14
-Add19
-#NML11,1
-Add20
-#NML12,1
-Relu13
-#Conv15,3
-Conv15
-Add21
-Relu14
-#Conv16,2
-Conv16
-Add22
-#Conv17,2
-Conv17
-Add23
-#NML13,1
-Add24
-#NML14,1
-Relu15
-#Conv18,3
-Conv18
-Add25
-Relu16
-#Conv19,2
-Conv19
-Add26
-#NML15,1
-Add27
-#NML16,1
-Relu17
-#Conv20,3
-Conv20
-Add28
-Relu18
-#Conv21,2
-Conv21
-Add29
-#NML17,1
-Add30
-#NML18,1
-Relu19
-#NML19,1
-Pool1
-#FC1,2
-Mul1
-Add31
diff --git a/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_promise_confs1.txt b/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_promise_confs1.txt
deleted file mode 100644
index 0f382344773bc67d7a63545f5441e02e17c8025d..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_promise_confs1.txt
+++ /dev/null
@@ -1,13 +0,0 @@
-9 9 9,9 9 9,9 9,9,9,9 9 9,9 9,9,9,9 9 9,9 9,9,9,9 9 9,9 9,9 9,9,9,9 9 9,9 9,9,9,9 9 9,9 9,9,9,9 9 9,9 9,9 9,9,9,9 9 9,9 9,9,9,9 9 9,9 9,9,9,9,9 9
-9 9 9,9 9 9,9 9,8,8,9 9 9,7,8,8,9 9 9,7,8,8,7,8 8,9 9,8,8,8 8 8,8 8,8,8,9 9 9,8 8,8,8,7,9 9,8 8,8,8,8 8 8,8 8,8,8,9 9 9,8 8,8,8,8,9 9
-8 8 8,8 8 8,7,8,8,8 8 8,7,8,8,7,9 9,8,8,9 9 9,7,9 9,8,8,7,8 8,8,8,9 9 9,9 9,8,8,9 9 9,7,8 8,8,8,9 9 9,9 9,8,8,9 9 9,8 8,8,8,8,7
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-8 8 8,9 9 9,9 9,8,8,8 8 8,9 9,8,8,8 8 8,8 8,8,8,9 9 9,8 8,9 9,8,8,9 9 9,8 8,8,8,8 8 8,8 8,8,8,9 9 9,8 8,9 9,8,8,9 9 9,9 9,8,8,8 8 8,7,8,8,8,9 9
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diff --git a/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_promise_confs2.txt b/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_promise_confs2.txt
deleted file mode 100644
index 25db61b421ddaf79a95c0b645fbcd381a7f07dc0..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_promise_confs2.txt
+++ /dev/null
@@ -1,32 +0,0 @@
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diff --git a/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_promise_results1.csv b/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_promise_results1.csv
deleted file mode 100644
index 43efb1d48e791b041d332cb015d671f111dae293..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_promise_results1.csv
+++ /dev/null
@@ -1,187 +0,0 @@
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-Configuration,Conv1,Conv2,Conv3,NML1,NML2,Conv4,Conv5,NML3,NML4,Conv6,Conv7,NML5,NML6,Conv8,Conv9,Conv10,NML7,NML8,Conv11,Conv12,NML9,NML10,Conv13,Conv14,NML11,NML12,Conv15,Conv16,Conv17,NML13,NML14,Conv18,Conv19,NML15,NML16,Conv20,Conv21,NML17,NML18,NML19,FC1,Total,Improvement
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-
-Compute Time
-Configuration,Conv1,Conv2,Conv3,NML1,NML2,Conv4,Conv5,NML3,NML4,Conv6,Conv7,NML5,NML6,Conv8,Conv9,Conv10,NML7,NML8,Conv11,Conv12,NML9,NML10,Conv13,Conv14,NML11,NML12,Conv15,Conv16,Conv17,NML13,NML14,Conv18,Conv19,NML15,NML16,Conv20,Conv21,NML17,NML18,NML19,FC1,Total,Improvement
-c0,137.165,207.8389,189.6515,31.9722,19.0941,208.4406,198.6494,31.9182,19.1354,259.7649,285.9489,32.0305,19.0951,123.27345,142.4026,83.6932,18.2347,9.39785,151.93707,142.1728,18.074,9.41748,151.49962,142.1021,18.0244,9.40974,77.39211,95.8733,48.1179,14.1964,4.87483,100.88243,95.9383,14.534,4.81198,100.7067,95.9563,14.737,4.81593,7.47447,0.725589,3341.380949,0.999999970072255
-c1,137.165,207.8389,189.6515,25.2021,16.7972,208.4406,9.024416,24.9686,17.3272,259.7649,9.024416,25.4775,16.8139,4.555456,148.08761,83.6932,11.4693,8.57887,157.84032,176.87812,11.2953,8.59732,151.49962,175.99631,11.2352,8.56125,3.459840,95.8733,50.93214,11.2873,4.46626,80.09278,89.0888,11.1843,4.46968,100.7067,89.01816,11.2081,4.48848,5.19545,0.725589,2667.980987,1.25240053810022
-c2,208.7505,342.9757,9.024416,25.2021,16.7972,356.8393,9.024416,24.9686,17.3272,9.024416,285.9489,25.4775,16.8139,123.27345,6.804352,83.6932,11.4693,8.57887,6.804352,176.87812,11.2953,8.59732,151.49962,142.1021,11.2352,8.56125,77.39211,5.766400,50.93214,11.2873,4.46626,100.88243,95.9383,11.1843,4.46968,100.7067,89.01816,11.2081,4.48848,5.19545,0.003604,2671.905996,1.25056077157885
-c3,208.7505,342.9757,9.024416,25.2021,16.7972,356.8393,359.5265,24.9686,17.3272,259.7649,9.024416,25.4775,16.8139,123.27345,142.4026,83.6932,11.4693,8.57887,157.84032,176.87812,11.2953,8.59732,151.49962,142.1021,11.2352,8.56125,3.459840,5.766400,48.1179,11.2873,4.46626,100.88243,89.0888,11.1843,4.46968,5.766400,95.9563,11.2081,4.48848,5.19545,0.725589,3111.982111,1.07371466880149
-c4,208.7505,207.8389,189.6515,25.2021,16.7972,356.8393,198.6494,24.9686,17.3272,399.7504,388.4166,25.4775,16.8139,123.27345,148.08761,83.6932,11.4693,8.57887,151.93707,176.87812,11.2953,8.59732,181.04838,175.99631,11.2352,8.56125,77.39211,74.50821,48.1179,11.2873,4.46626,100.88243,95.9383,11.1843,4.46968,90.82636,5.766400,11.2081,4.48848,5.19545,0.725589,3723.591349,0.897354340497627
-c5,137.165,342.9757,9.024416,25.2021,16.7972,9.024416,359.5265,24.9686,17.3272,399.7504,285.9489,25.4775,16.8139,4.555456,148.08761,99.91022,11.4693,8.57887,157.84032,176.87812,11.2953,8.59732,151.49962,175.99631,11.2352,8.56125,77.39211,74.50821,48.1179,11.2873,4.46626,100.88243,95.9383,11.1843,4.46968,100.7067,95.9563,11.2081,4.48848,5.19545,0.003604,3290.311852,1.01552101981363
-c6,208.7505,342.9757,9.024416,25.2021,16.7972,9.024416,359.5265,24.9686,17.3272,9.024416,388.4166,25.4775,16.8139,123.27345,142.4026,99.91022,11.4693,8.57887,151.93707,176.87812,11.2953,8.59732,181.04838,6.804352,11.2352,8.56125,51.58494,95.8733,1.153280,11.2873,4.46626,100.88243,95.9383,11.1843,4.46968,100.7067,95.9563,11.2081,4.48848,5.19545,1.571852,2991.287152,1.11703780596996
-c7,208.7505,342.9757,9.024416,25.2021,16.7972,208.4406,9.024416,24.9686,17.3272,9.024416,388.4166,25.4775,16.8139,123.27345,6.804352,2.306560,11.4693,8.57887,6.804352,176.87812,11.2953,8.59732,151.49962,175.99631,11.2352,8.56125,77.39211,95.8733,50.93214,11.2873,4.46626,100.88243,95.9383,11.1843,4.46968,100.7067,89.01816,11.2081,4.48848,5.19545,0.003604,2668.589466,1.25211497173335
-c8,208.7505,342.9757,9.024416,25.2021,16.7972,208.4406,359.5265,24.9686,17.3272,399.7504,285.9489,25.4775,16.8139,123.27345,148.08761,2.306560,11.4693,8.57887,151.93707,176.87812,11.2953,8.59732,151.49962,142.1021,11.2352,8.56125,51.58494,74.50821,1.153280,11.2873,4.46626,80.09278,5.766400,11.1843,4.46968,90.82636,95.9563,11.2081,4.48848,5.19545,0.725589,3349.738715,0.997504920096285
-c9,208.7505,207.8389,9.024416,25.2021,16.7972,356.8393,359.5265,24.9686,17.3272,399.7504,285.9489,25.4775,16.8139,123.27345,148.08761,99.91022,11.4693,8.57887,157.84032,142.1728,11.2953,8.59732,6.804352,142.1021,11.2352,8.56125,77.39211,74.50821,1.153280,11.2873,4.46626,100.88243,95.9383,11.1843,4.46968,90.82636,95.9563,11.2081,4.48848,5.19545,0.725589,3423.875657,0.975906015914467
-c10,137.165,342.9757,189.6515,25.2021,16.7972,9.024416,9.024416,24.9686,17.3272,9.024416,285.9489,25.4775,16.8139,104.7504,6.804352,83.6932,11.4693,8.57887,157.84032,142.1728,11.2953,8.59732,181.04838,142.1021,11.2352,8.56125,51.58494,95.8733,1.153280,11.2873,4.46626,100.88243,95.9383,11.1843,4.46968,90.82636,95.9563,11.2081,4.48848,5.19545,0.725589,2572.789709,1.2987384112419
-c11,208.7505,342.9757,9.024416,25.2021,16.7972,356.8393,9.024416,24.9686,17.3272,9.024416,285.9489,25.4775,16.8139,123.27345,6.804352,83.6932,11.4693,8.57887,6.804352,142.1728,11.2953,8.59732,151.49962,175.99631,11.2352,8.56125,51.58494,95.8733,50.93214,11.2873,4.46626,100.88243,95.9383,11.1843,4.46968,100.7067,89.01816,11.2081,4.48848,5.19545,0.725589,2736.116601,1.22121287727924
-c12,208.7505,342.9757,9.024416,25.2021,16.7972,9.024416,9.024416,24.9686,17.3272,9.024416,9.024416,25.4775,16.8139,104.7504,142.4026,99.91022,11.4693,8.57887,151.93707,142.1728,11.2953,8.59732,181.04838,175.99631,11.2352,8.56125,77.39211,95.8733,48.1179,11.2873,4.46626,100.88243,95.9383,11.1843,4.46968,90.82636,95.9563,11.2081,4.48848,5.19545,0.003604,2438.679674,1.37015978261031
-c12,2438.679674
-
-Energy
-Configuration,Conv1,Conv2,Conv3,NML1,NML2,Conv4,Conv5,NML3,NML4,Conv6,Conv7,NML5,NML6,Conv8,Conv9,Conv10,NML7,NML8,Conv11,Conv12,NML9,NML10,Conv13,Conv14,NML11,NML12,Conv15,Conv16,Conv17,NML13,NML14,Conv18,Conv19,NML15,NML16,Conv20,Conv21,NML17,NML18,NML19,FC1,Total,Improvement
-c0,367.1935,674.9156,734.4923,131.604,78.945,930.3708,938.716,154.555,92.4142,1252.9937,1385.115,157.253,93.1857,596.759,690.021,401.5683,85.0395,42.293,719.1726,678.3662,85.9011,43.1252,726.3655,686.3864,86.3285,43.6635,373.8222,471.2729,233.5022,67.2674,20.4251,491.0196,475.3594,71.0934,21.0221,501.5035,483.9556,73.1106,21.5459,35.1354,0.5632148,15217.3421148,0.99999999342855
-c1,367.1935,674.9156,734.4923,336.544,74.5864,1021.7777,67.644319,108.541,77.2477,1342.9017,67.644319,107.72,72.987,29.480448,648.5595,442.3803,159.941,38.5238,668.3418,737.6456,49.8165,38.8844,768.7706,794.6234,49.6507,39.5474,18.903715,471.2729,291.5164,49.7509,21.8376,347.1207,382.2379,50.4854,21.963,521.315,413.8585,50.3589,22.1017,23.3959,0.6085782,12207.0880792,1.24659885235606
-c2,533.7291,1160.9424,67.644319,109.339,74.5864,1558.1515,67.644319,108.541,77.2477,67.644319,1385.115,351.059,72.987,639.1792,42.156294,401.5683,159.941,38.5238,42.156294,737.6456,49.8165,38.8844,768.7706,686.3864,175.4817,39.5474,393.7426,29.560412,221.6533,49.7509,21.8376,511.0788,475.3594,120.4748,21.963,521.315,413.8585,50.3589,22.1017,23.3959,0.08824,12331.227597,1.23404923570604
-c3,533.7291,1160.9424,67.644319,109.339,74.5864,1558.1515,1543.1258,108.541,77.2477,1342.9017,67.644319,107.72,72.987,639.1792,690.021,401.5683,159.941,38.5238,668.3418,737.6456,49.8165,38.8844,768.7706,686.3864,175.4817,39.5474,18.903715,29.560412,233.5022,106.94,21.8376,511.0788,413.5184,50.4854,21.963,29.560412,483.9556,121.956,22.1017,23.3959,0.6085782,14008.0356552,1.08632947407713
-c4,533.7291,748.8261,734.4923,336.544,74.5864,1558.1515,1028.1229,368.498,77.2477,1693.1477,1601.9877,107.72,72.987,639.1792,709.4595,442.3803,159.941,38.5238,761.6715,796.7183,49.8165,38.8844,763.2659,735.4767,49.6507,39.5474,393.7426,357.7395,253.3351,106.94,21.8376,511.0788,475.3594,120.4748,21.963,393.9254,29.560412,50.3589,22.1017,23.3959,0.6085782,16942.9772902,0.898150411485638
-c5,367.1935,1240.8474,67.644319,109.339,74.5864,67.644319,1543.1258,108.541,77.2477,1693.1477,1471.0861,351.059,72.987,29.480448,648.5595,422.944,49.588,38.5238,668.3418,737.6456,49.8165,38.8844,768.7706,794.6234,49.6507,39.5474,393.7426,357.7395,253.3351,106.94,21.8376,511.0788,475.3594,120.4748,21.963,521.315,483.9556,121.956,22.1017,23.3959,0.08824,15016.108626,1.0134011675376
-c6,533.7291,1160.9424,67.644319,109.339,74.5864,67.644319,1543.1258,108.541,77.2477,67.644319,1601.9877,107.72,72.987,639.1792,690.021,558.879,49.588,38.5238,761.6715,796.7183,49.8165,38.8844,763.2659,42.156294,49.6507,39.5474,226.8183,491.752,10.570936,49.7509,21.8376,511.0788,475.3594,120.4748,21.963,521.315,483.9556,121.956,22.1017,23.3959,6.45743,13219.828417,1.15109981156195
-c7,533.7291,1160.9424,67.644319,109.339,74.5864,1021.7777,67.644319,108.541,77.2477,67.644319,1601.9877,107.72,72.987,639.1792,42.156294,21.193653,49.588,38.5238,42.156294,737.6456,49.8165,38.8844,768.7706,794.6234,49.6507,39.5474,393.7426,471.2729,291.5164,49.7509,21.8376,511.0788,475.3594,120.4748,21.963,521.315,413.8585,50.3589,22.1017,23.3959,0.08824,11771.641438,1.29271198631703
-c8,533.7291,1160.9424,67.644319,109.339,74.5864,1021.7777,1670.0268,108.541,77.2477,1693.1477,1471.0861,351.059,72.987,639.1792,709.4595,21.193653,49.588,38.5238,761.6715,796.7183,49.8165,38.8844,768.7706,686.3864,175.4817,39.5474,226.8183,326.6018,10.570936,49.7509,21.8376,347.1207,29.560412,50.4854,21.963,393.9254,504.3277,121.956,22.1017,23.3959,0.6085782,15338.3594982,0.992110141725051
-c9,533.7291,748.8261,67.644319,109.339,74.5864,1558.1515,1543.1258,108.541,77.2477,1693.1477,1471.0861,351.059,72.987,639.1792,709.4595,422.944,49.588,38.5238,668.3418,720.1492,175.6035,38.8844,42.156294,686.3864,175.4817,39.5474,393.7426,357.7395,10.570936,49.7509,21.8376,511.0788,475.3594,120.4748,21.963,393.9254,504.3277,121.956,22.1017,23.3959,0.6085782,15844.5487272,0.960414984406291
-c10,367.1935,1240.8474,819.0329,336.544,74.5864,67.644319,67.644319,108.541,77.2477,67.644319,1385.115,351.059,72.987,452.0318,42.156294,401.5683,159.941,38.5238,668.3418,720.1492,175.6035,38.8844,763.2659,728.2224,175.4817,39.5474,226.8183,491.752,10.570936,49.7509,21.8376,511.0788,475.3594,120.4748,21.963,393.9254,504.3277,121.956,22.1017,23.3959,0.6085782,12435.7253652,1.22367948354795
-c11,533.7291,1160.9424,67.644319,109.339,74.5864,1558.1515,67.644319,108.541,77.2477,67.644319,1385.115,351.059,72.987,639.1792,42.156294,401.5683,159.941,38.5238,42.156294,678.3662,175.6035,38.8844,768.7706,794.6234,49.6507,39.5474,226.8183,491.752,291.5164,49.7509,21.8376,511.0788,475.3594,120.4748,21.963,521.315,413.8585,50.3589,22.1017,23.3959,0.6085782,12745.7919232,1.19391106391045
-c12,533.7291,1160.9424,67.644319,109.339,74.5864,67.644319,67.644319,108.541,77.2477,67.644319,67.644319,107.72,72.987,452.0318,734.2297,558.879,49.588,38.5238,761.6715,678.3662,175.6035,38.8844,763.2659,735.4767,49.6507,39.5474,393.7426,471.2729,233.5022,106.94,21.8376,511.0788,475.3594,120.4748,21.963,393.9254,504.3277,121.956,22.1017,23.3959,0.08824,11080.999035,1.37328249279752
-c12,11080.999035
-
-Leakage Energy
-Configuration,Conv1,Conv2,Conv3,NML1,NML2,Conv4,Conv5,NML3,NML4,Conv6,Conv7,NML5,NML6,Conv8,Conv9,Conv10,NML7,NML8,Conv11,Conv12,NML9,NML10,Conv13,Conv14,NML11,NML12,Conv15,Conv16,Conv17,NML13,NML14,Conv18,Conv19,NML15,NML16,Conv20,Conv21,NML17,NML18,NML19,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,23.842121,0,0,0,23.842121,0,0,10.859436,0,0,0,0,0,0,0,0,0,0,0,0,7.351726,0,0,0,0,0,0,0,0,0,0,0,0,0,0,65.895404,0
-c2,0,0,23.842121,0,0,0,23.842121,0,0,23.842121,0,0,0,0,15.774626,0,0,0,15.774626,0,0,0,0,0,0,0,0,11.797401,0,0,0,0,0,0,0,0,0,0,0,0,0.023423,114.896439,0
-c3,0,0,23.842121,0,0,0,0,0,0,0,23.842121,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.351726,11.797401,0,0,0,0,0,0,0,11.797401,0,0,0,0,0,78.63077,0
-c4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,11.797401,0,0,0,0,11.797401,0
-c5,0,0,23.842121,0,0,23.842121,0,0,0,0,0,0,0,10.859436,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.023423,58.567101,0
-c6,0,0,23.842121,0,0,23.842121,0,0,0,23.842121,0,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,0,0,0,0,3.468407,0,0,0,0,0,0,0,0,0,0,0,0,90.769396,0
-c7,0,0,23.842121,0,0,0,23.842121,0,0,23.842121,0,0,0,0,15.774626,6.991873,0,0,15.774626,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.023423,110.090911,0
-c8,0,0,23.842121,0,0,0,0,0,0,0,0,0,0,0,0,6.991873,0,0,0,0,0,0,0,0,0,0,0,0,3.468407,0,0,0,11.797401,0,0,0,0,0,0,0,0,46.099802,0
-c9,0,0,23.842121,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,0,0,0,0,0,3.468407,0,0,0,0,0,0,0,0,0,0,0,0,43.085154,0
-c10,0,0,0,0,0,23.842121,23.842121,0,0,23.842121,0,0,0,0,15.774626,0,0,0,0,0,0,0,0,0,0,0,0,0,3.468407,0,0,0,0,0,0,0,0,0,0,0,0,90.769396,0
-c11,0,0,23.842121,0,0,0,23.842121,0,0,23.842121,0,0,0,0,15.774626,0,0,0,15.774626,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,103.075615,0
-c12,0,0,23.842121,0,0,23.842121,23.842121,0,0,23.842121,23.842121,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.023423,119.234028,0
-c0,0
-
-Memory Energy
-Configuration,Conv1,Conv2,Conv3,NML1,NML2,Conv4,Conv5,NML3,NML4,Conv6,Conv7,NML5,NML6,Conv8,Conv9,Conv10,NML7,NML8,Conv11,Conv12,NML9,NML10,Conv13,Conv14,NML11,NML12,Conv15,Conv16,Conv17,NML13,NML14,Conv18,Conv19,NML15,NML16,Conv20,Conv21,NML17,NML18,NML19,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,26.345144,0,0,0,26.345144,0,0,9.892485,0,0,0,0,0,0,0,0,0,0,0,0,5.005594,0,0,0,0,0,0,0,0,0,0,0,0,0,0,67.588367,0
-c2,0,0,26.345144,0,0,0,26.345144,0,0,26.345144,0,0,0,0,13.288878,0,0,0,13.288878,0,0,0,0,0,0,0,0,6.852352,0,0,0,0,0,0,0,0,0,0,0,0,0.059362,112.524902,0
-c3,0,0,26.345144,0,0,0,0,0,0,0,26.345144,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5.005594,6.852352,0,0,0,0,0,0,0,6.852352,0,0,0,0,0,71.400586,0
-c4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6.852352,0,0,0,0,6.852352,0
-c5,0,0,26.345144,0,0,26.345144,0,0,0,0,0,0,0,9.892485,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.059362,62.642135,0
-c6,0,0,26.345144,0,0,26.345144,0,0,0,26.345144,0,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,0,0,0,0,4.920397,0,0,0,0,0,0,0,0,0,0,0,0,97.244707,0
-c7,0,0,26.345144,0,0,0,26.345144,0,0,26.345144,0,0,0,0,13.288878,9.837517,0,0,13.288878,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.059362,115.510067,0
-c8,0,0,26.345144,0,0,0,0,0,0,0,0,0,0,0,0,9.837517,0,0,0,0,0,0,0,0,0,0,0,0,4.920397,0,0,0,6.852352,0,0,0,0,0,0,0,0,47.95541,0
-c9,0,0,26.345144,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,0,0,0,0,0,4.920397,0,0,0,0,0,0,0,0,0,0,0,0,44.554419,0
-c10,0,0,0,0,0,26.345144,26.345144,0,0,26.345144,0,0,0,0,13.288878,0,0,0,0,0,0,0,0,0,0,0,0,0,4.920397,0,0,0,0,0,0,0,0,0,0,0,0,97.244707,0
-c11,0,0,26.345144,0,0,0,26.345144,0,0,26.345144,0,0,0,0,13.288878,0,0,0,13.288878,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,105.613188,0
-c12,0,0,26.345144,0,0,26.345144,26.345144,0,0,26.345144,26.345144,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.059362,131.785082,0
-c0,0
-
-Memory Time
-Configuration,Conv1,Conv2,Conv3,NML1,NML2,Conv4,Conv5,NML3,NML4,Conv6,Conv7,NML5,NML6,Conv8,Conv9,Conv10,NML7,NML8,Conv11,Conv12,NML9,NML10,Conv13,Conv14,NML11,NML12,Conv15,Conv16,Conv17,NML13,NML14,Conv18,Conv19,NML15,NML16,Conv20,Conv21,NML17,NML18,NML19,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,6.518272,0,0,0,6.518272,0,0,2.573634,0,0,0,0,0,0,0,0,0,0,0,0,1.429432,0,0,0,0,0,0,0,0,0,0,0,0,0,0,17.03961,0
-c2,0,0,6.518272,0,0,0,6.518272,0,0,6.518272,0,0,0,0,3.533916,0,0,0,3.533916,0,0,0,0,0,0,0,0,2.071773,0,0,0,0,0,0,0,0,0,0,0,0,0.013655,28.708076,0
-c3,0,0,6.518272,0,0,0,0,0,0,0,6.518272,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.429432,2.071773,0,0,0,0,0,0,0,2.071773,0,0,0,0,0,18.609522,0
-c4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.071773,0,0,0,0,2.071773,0
-c5,0,0,6.518272,0,0,6.518272,0,0,0,0,0,0,0,2.573634,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.013655,15.623833,0
-c6,0,0,6.518272,0,0,6.518272,0,0,0,6.518272,0,0,0,0,0,0,0,0,0,0,0,0,0,3.533916,0,0,0,0,1.153683,0,0,0,0,0,0,0,0,0,0,0,0,24.242415,0
-c7,0,0,6.518272,0,0,0,6.518272,0,0,6.518272,0,0,0,0,3.533916,2.308683,0,0,3.533916,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.013655,28.944986,0
-c8,0,0,6.518272,0,0,0,0,0,0,0,0,0,0,0,0,2.308683,0,0,0,0,0,0,0,0,0,0,0,0,1.153683,0,0,0,2.071773,0,0,0,0,0,0,0,0,12.052411,0
-c9,0,0,6.518272,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.533916,0,0,0,0,0,1.153683,0,0,0,0,0,0,0,0,0,0,0,0,11.205871,0
-c10,0,0,0,0,0,6.518272,6.518272,0,0,6.518272,0,0,0,0,3.533916,0,0,0,0,0,0,0,0,0,0,0,0,0,1.153683,0,0,0,0,0,0,0,0,0,0,0,0,24.242415,0
-c11,0,0,6.518272,0,0,0,6.518272,0,0,6.518272,0,0,0,0,3.533916,0,0,0,3.533916,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,26.622648,0
-c12,0,0,6.518272,0,0,6.518272,6.518272,0,0,6.518272,6.518272,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.013655,32.605015,0
-c0,0
-
-Patch Energy
-Configuration,Conv1,Conv2,Conv3,NML1,NML2,Conv4,Conv5,NML3,NML4,Conv6,Conv7,NML5,NML6,Conv8,Conv9,Conv10,NML7,NML8,Conv11,Conv12,NML9,NML10,Conv13,Conv14,NML11,NML12,Conv15,Conv16,Conv17,NML13,NML14,Conv18,Conv19,NML15,NML16,Conv20,Conv21,NML17,NML18,NML19,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c0,0
-
-Quantization Energy
-Configuration,Conv1,Conv2,Conv3,NML1,NML2,Conv4,Conv5,NML3,NML4,Conv6,Conv7,NML5,NML6,Conv8,Conv9,Conv10,NML7,NML8,Conv11,Conv12,NML9,NML10,Conv13,Conv14,NML11,NML12,Conv15,Conv16,Conv17,NML13,NML14,Conv18,Conv19,NML15,NML16,Conv20,Conv21,NML17,NML18,NML19,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,227.205,0,91.4069,0,0,0,89.908,0,0,0,0,0,40.812,110.353,0,0,0,0,0,42.4051,59.1467,0,0,0,0,69.8631,0,0,0,0,0,0,19.8115,30.88,0,0,0,0.0453634,781.8366634,0
-c2,13.0911,0,0,0,0,0,0,0,0,0,0,243.339,0,42.4202,0,0,110.353,0,0,0,0,0,42.4051,0,125.831,0,19.9204,0,0,0,0,20.0592,0,69.9894,0,19.8115,30.88,0,0,0,0,738.0999,0
-c3,13.0911,0,0,0,0,0,0,0,0,89.908,0,0,0,42.4202,0,0,110.353,0,0,0,0,0,42.4051,0,125.831,0,0,0,0,57.1891,0,20.0592,31.2805,0,0,0,0,71.5971,0,0,0.0453634,604.1796634,0
-c4,13.0911,73.9105,0,227.205,0,0,89.4069,259.957,0,0,0,0,0,42.4202,60.9,40.812,110.353,0,42.4989,59.0727,0,0,0,0,0,0,19.9204,31.1377,19.8329,57.1891,0,20.0592,0,69.9894,0,0,0,0,0,0,0.0453634,1237.8013634,0
-c5,0,79.905,0,0,0,0,0,0,0,0,85.9711,243.339,0,0,0,0,0,0,0,0,0,0,42.4051,59.1467,0,0,19.9204,31.1377,19.8329,57.1891,0,20.0592,0,69.9894,0,19.8115,0,71.5971,0,0,0,820.3042,0
-c6,13.0911,0,0,0,0,0,0,0,0,0,0,0,0,42.4202,0,135.935,0,0,42.4989,59.0727,0,0,0,0,0,0,0,20.4791,0,0,0,20.0592,0,69.9894,0,19.8115,0,71.5971,0,0,0,494.9542,0
-c7,13.0911,0,0,0,0,91.4069,0,0,0,0,0,0,0,42.4202,0,0,0,0,0,0,0,0,42.4051,59.1467,0,0,19.9204,0,69.8631,0,0,20.0592,0,69.9894,0,19.8115,30.88,0,0,0,0,478.9936,0
-c8,13.0911,0,0,0,0,91.4069,126.901,0,0,0,85.9711,243.339,0,42.4202,60.9,0,0,0,42.4989,59.0727,0,0,42.4051,0,125.831,0,0,0,0,0,0,0,0,0,0,0,20.3721,71.5971,0,0,0.0453634,1025.8515634,0
-c9,13.0911,73.9105,0,0,0,0,0,0,0,0,85.9711,243.339,0,42.4202,60.9,0,0,0,0,41.783,125.787,0,0,0,125.831,0,19.9204,31.1377,0,0,0,20.0592,0,69.9894,0,0,20.3721,71.5971,0,0,0.0453634,1046.1541634,0
-c10,0,79.905,84.5406,227.205,0,0,0,0,0,0,0,243.339,0,0,0,0,110.353,0,0,41.783,125.787,0,0,41.836,125.831,0,0,20.4791,0,0,0,20.0592,0,69.9894,0,0,20.3721,71.5971,0,0,0.0453634,1283.1218634,0
-c11,13.0911,0,0,0,0,0,0,0,0,0,0,243.339,0,42.4202,0,0,110.353,0,0,0,125.787,0,42.4051,59.1467,0,0,0,20.4791,69.8631,0,0,20.0592,0,69.9894,0,19.8115,30.88,0,0,0,0.0453634,867.6697634,0
-c12,13.0911,0,0,0,0,0,0,0,0,0,0,0,0,0,44.2087,135.935,0,0,42.4989,0,125.787,0,0,0,0,0,19.9204,0,0,57.1891,0,20.0592,0,69.9894,0,0,20.3721,71.5971,0,0,0,620.648,0
-c0,0
-
-Quantization Time
-Configuration,Conv1,Conv2,Conv3,NML1,NML2,Conv4,Conv5,NML3,NML4,Conv6,Conv7,NML5,NML6,Conv8,Conv9,Conv10,NML7,NML8,Conv11,Conv12,NML9,NML10,Conv13,Conv14,NML11,NML12,Conv15,Conv16,Conv17,NML13,NML14,Conv18,Conv19,NML15,NML16,Conv20,Conv21,NML17,NML18,NML19,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,54.8381,0,20.9916,0,0,0,21.0334,0,0,0,0,0,10.5675,27.8587,0,0,0,0,0,10.5613,14.7899,0,0,0,0,16.9562,0,0,0,0,0,0,5.3629,8.01787,0,0,0,0.182164,191.159634,0
-c2,6.3224,0,0,0,0,0,0,0,0,0,0,60.3765,0,10.5944,0,0,27.8587,0,0,0,0,0,10.5613,0,31.0414,0,5.36591,0,0,0,0,5.36257,0,17.215,0,5.3629,8.01787,0,0,0,0,188.07895,0
-c3,6.3224,0,0,0,0,0,0,0,0,21.0334,0,0,0,10.5944,0,0,27.8587,0,0,0,0,0,10.5613,0,31.0414,0,0,0,0,14.405,0,5.36257,8.10378,0,0,0,0,17.4758,0,0,0.182164,152.940914,0
-c4,6.3224,20.9352,0,54.8381,0,0,21.0449,62.7404,0,0,0,0,0,10.5944,14.972,10.5675,27.8587,0,10.5792,14.881,0,0,0,0,0,0,5.36591,8.07266,5.36951,14.405,0,5.36257,0,17.215,0,0,0,0,0,0,0.182164,311.306614,0
-c5,0,27.627,0,0,0,0,0,0,0,0,20.9627,60.3765,0,0,0,0,0,0,0,0,0,0,10.5613,14.7899,0,0,5.36591,8.07266,5.36951,14.405,0,5.36257,0,17.215,0,5.3629,0,17.4758,0,0,0,212.94675,0
-c6,6.3224,0,0,0,0,0,0,0,0,0,0,0,0,10.5944,0,32.0547,0,0,10.5792,14.881,0,0,0,0,0,0,0,5.37147,0,0,0,5.36257,0,17.215,0,5.3629,0,17.4758,0,0,0,125.21944,0
-c7,6.3224,0,0,0,0,20.9916,0,0,0,0,0,0,0,10.5944,0,0,0,0,0,0,0,0,10.5613,14.7899,0,0,5.36591,0,16.9562,0,0,5.36257,0,17.215,0,5.3629,8.01787,0,0,0,0,121.54005,0
-c8,6.3224,0,0,0,0,20.9916,29.7996,0,0,0,20.9627,60.3765,0,10.5944,14.972,0,0,0,10.5792,14.881,0,0,10.5613,0,31.0414,0,0,0,0,0,0,0,0,0,0,0,5.37001,17.4758,0,0,0.182164,254.110074,0
-c9,6.3224,20.9352,0,0,0,0,0,0,0,0,20.9627,60.3765,0,10.5944,14.972,0,0,0,0,10.5947,31.2262,0,0,0,31.0414,0,5.36591,8.07266,0,0,0,5.36257,0,17.215,0,0,5.37001,17.4758,0,0,0.182164,266.069614,0
-c10,0,27.627,20.9195,54.8381,0,0,0,0,0,0,0,60.3765,0,0,0,0,27.8587,0,0,10.5947,31.2262,0,0,10.5466,31.0414,0,0,5.37147,0,0,0,5.36257,0,17.215,0,0,5.37001,17.4758,0,0,0.182164,326.005714,0
-c11,6.3224,0,0,0,0,0,0,0,0,0,0,60.3765,0,10.5944,0,0,27.8587,0,0,0,31.2262,0,10.5613,14.7899,0,0,0,5.37147,16.9562,0,0,5.36257,0,17.215,0,5.3629,8.01787,0,0,0,0.182164,220.197574,0
-c12,6.3224,0,0,0,0,0,0,0,0,0,0,0,0,0,10.6041,32.0547,0,0,10.5792,0,31.2262,0,0,0,0,0,5.36591,0,0,14.405,0,5.36257,0,17.215,0,0,5.37001,17.4758,0,0,0,155.98089,0
-c0,0
-
-Time
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-c0,137.165,207.8389,189.6515,31.9722,19.0941,208.4406,198.6494,31.9182,19.1354,259.7649,285.9489,32.0305,19.0951,123.27345,142.4026,83.6932,18.2347,9.39785,151.93707,142.1728,18.074,9.41748,151.49962,142.1021,18.0244,9.40974,77.39211,95.8733,48.1179,14.1964,4.87483,100.88243,95.9383,14.534,4.81198,100.7067,95.9563,14.737,4.81593,7.47447,0.725589,3341.380949,0.999999970072255
-c1,137.165,207.8389,189.6515,80.0402,16.7972,229.4322,15.542688,24.9686,17.3272,280.7983,15.542688,25.4775,16.8139,7.12909,148.08761,94.2607,39.328,8.57887,157.84032,176.87812,11.2953,8.59732,162.06092,190.78621,11.2352,8.56125,4.889272,95.8733,67.88834,11.2873,4.46626,80.09278,89.0888,11.1843,4.46968,106.0696,97.03603,11.2081,4.48848,5.19545,0.907753,2876.180231,1.16174250723641
-c2,215.0729,342.9757,15.542688,25.2021,16.7972,356.8393,15.542688,24.9686,17.3272,15.542688,285.9489,85.854,16.8139,133.86785,10.338268,83.6932,39.328,8.57887,10.338268,176.87812,11.2953,8.59732,162.06092,142.1021,42.2766,8.56125,82.75802,7.838173,50.93214,11.2873,4.46626,106.245,95.9383,28.3993,4.46968,106.0696,97.03603,11.2081,4.48848,5.19545,0.017259,2888.693022,1.15671025196563
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-c5,137.165,370.6027,15.542688,25.2021,16.7972,15.542688,359.5265,24.9686,17.3272,399.7504,306.9116,85.854,16.8139,7.12909,148.08761,99.91022,11.4693,8.57887,157.84032,176.87812,11.2953,8.59732,162.06092,190.78621,11.2352,8.56125,82.75802,82.58087,53.48741,25.6923,4.46626,106.245,95.9383,28.3993,4.46968,106.0696,95.9563,28.6839,4.48848,5.19545,0.017259,3518.882435,0.949557399477104
-c6,215.0729,342.9757,15.542688,25.2021,16.7972,15.542688,359.5265,24.9686,17.3272,15.542688,388.4166,25.4775,16.8139,133.86785,142.4026,131.96492,11.4693,8.57887,162.51627,191.75912,11.2953,8.59732,181.04838,10.338268,11.2352,8.56125,51.58494,101.24477,2.306963,11.2873,4.46626,106.245,95.9383,28.3993,4.46968,106.0696,95.9563,28.6839,4.48848,5.19545,1.571852,3140.749007,1.06388025122823
-c7,215.0729,342.9757,15.542688,25.2021,16.7972,229.4322,15.542688,24.9686,17.3272,15.542688,388.4166,25.4775,16.8139,133.86785,10.338268,4.615243,11.4693,8.57887,10.338268,176.87812,11.2953,8.59732,162.06092,190.78621,11.2352,8.56125,82.75802,95.8733,67.88834,11.2873,4.46626,106.245,95.9383,28.3993,4.46968,106.0696,97.03603,11.2081,4.48848,5.19545,0.017259,2819.074502,1.18527581591117
-c8,215.0729,342.9757,15.542688,25.2021,16.7972,229.4322,389.3261,24.9686,17.3272,399.7504,306.9116,85.854,16.8139,133.86785,163.05961,4.615243,11.4693,8.57887,162.51627,191.75912,11.2953,8.59732,162.06092,142.1021,42.2766,8.56125,51.58494,74.50821,2.306963,11.2873,4.46626,80.09278,7.838173,11.1843,4.46968,90.82636,101.32631,28.6839,4.48848,5.19545,0.907753,3615.9012,0.924079689066734
-c9,215.0729,228.7741,15.542688,25.2021,16.7972,356.8393,359.5265,24.9686,17.3272,399.7504,306.9116,85.854,16.8139,133.86785,163.05961,99.91022,11.4693,8.57887,157.84032,152.7675,42.5215,8.59732,10.338268,142.1021,42.2766,8.56125,82.75802,82.58087,2.306963,11.2873,4.46626,106.245,95.9383,28.3993,4.46968,90.82636,101.32631,28.6839,4.48848,5.19545,0.907753,3701.151142,0.902795030660355
-c10,137.165,370.6027,210.571,80.0402,16.7972,15.542688,15.542688,24.9686,17.3272,15.542688,285.9489,85.854,16.8139,104.7504,10.338268,83.6932,39.328,8.57887,157.84032,152.7675,42.5215,8.59732,181.04838,152.6487,42.2766,8.56125,51.58494,101.24477,2.306963,11.2873,4.46626,106.245,95.9383,28.3993,4.46968,90.82636,101.32631,28.6839,4.48848,5.19545,0.907753,2923.037838,1.14311925464992
-c11,215.0729,342.9757,15.542688,25.2021,16.7972,356.8393,15.542688,24.9686,17.3272,15.542688,285.9489,85.854,16.8139,133.86785,10.338268,83.6932,39.328,8.57887,10.338268,142.1728,42.5215,8.59732,162.06092,190.78621,11.2352,8.56125,51.58494,101.24477,67.88834,11.2873,4.46626,106.245,95.9383,28.3993,4.46968,106.0696,97.03603,11.2081,4.48848,5.19545,0.907753,2982.936823,1.12016480242549
-c12,215.0729,342.9757,15.542688,25.2021,16.7972,15.542688,15.542688,24.9686,17.3272,15.542688,15.542688,25.4775,16.8139,104.7504,153.0067,131.96492,11.4693,8.57887,162.51627,142.1728,42.5215,8.59732,181.04838,175.99631,11.2352,8.56125,82.75802,95.8733,48.1179,25.6923,4.46626,106.245,95.9383,28.3993,4.46968,90.82636,101.32631,28.6839,4.48848,5.19545,0.017259,2627.265579,1.27180930946877
-c12,2627.265579
-
-Unpatch Energy
-Configuration,Conv1,Conv2,Conv3,NML1,NML2,Conv4,Conv5,NML3,NML4,Conv6,Conv7,NML5,NML6,Conv8,Conv9,Conv10,NML7,NML8,Conv11,Conv12,NML9,NML10,Conv13,Conv14,NML11,NML12,Conv15,Conv16,Conv17,NML13,NML14,Conv18,Conv19,NML15,NML16,Conv20,Conv21,NML17,NML18,NML19,FC1,Total,Improvement
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diff --git a/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_promise_results2.csv b/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_promise_results2.csv
deleted file mode 100644
index 79f9be2d437ef747e412badb8800b6261fbc6f41..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_promise_results2.csv
+++ /dev/null
@@ -1,396 +0,0 @@
-Compute Energy
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-
-Compute Time
-Configuration,Conv1,Conv2,Conv3,NML1,NML2,Conv4,Conv5,NML3,NML4,Conv6,Conv7,NML5,NML6,Conv8,Conv9,Conv10,NML7,NML8,Conv11,Conv12,NML9,NML10,Conv13,Conv14,NML11,NML12,Conv15,Conv16,Conv17,NML13,NML14,Conv18,Conv19,NML15,NML16,Conv20,Conv21,NML17,NML18,NML19,FC1,Total,Improvement
-c0,137.165,207.8389,189.6515,31.9722,19.0941,208.4406,198.6494,31.9182,19.1354,259.7649,285.9489,32.0305,19.0951,123.27345,142.4026,83.6932,18.2347,9.39785,151.93707,142.1728,18.074,9.41748,151.49962,142.1021,18.0244,9.40974,77.39211,95.8733,48.1179,14.1964,4.87483,100.88243,95.9383,14.534,4.81198,100.7067,95.9563,14.737,4.81593,7.47447,0.725589,3341.380949,0.999999970072255
-c1,137.165,207.8389,189.6515,25.2021,16.7972,208.4406,9.024416,24.9686,17.3272,259.7649,9.024416,25.4775,16.8139,4.555456,148.08761,83.6932,11.4693,8.57887,157.84032,176.87812,11.2953,8.59732,151.49962,175.99631,11.2352,8.56125,3.459840,95.8733,50.93214,11.2873,4.46626,80.09278,89.0888,11.1843,4.46968,100.7067,89.01816,11.2081,4.48848,5.19545,0.725589,2667.980987,1.25240053810022
-c2,137.165,207.8389,9.024416,25.2021,16.7972,208.4406,9.024416,24.9686,17.3272,259.7649,285.9489,25.4775,16.8139,4.555456,148.08761,83.6932,11.4693,8.57887,6.804352,6.804352,11.2953,8.59732,151.49962,175.99631,11.2352,8.56125,77.39211,95.8733,50.93214,11.2873,4.46626,80.09278,95.9383,11.1843,4.46968,90.82636,89.01816,11.2081,4.48848,5.19545,0.003604,2513.348096,1.32945405428417
-c3,208.7505,207.8389,9.024416,25.2021,16.7972,9.024416,198.6494,24.9686,17.3272,9.024416,9.024416,25.4775,16.8139,123.27345,142.4026,99.91022,11.4693,8.57887,151.93707,6.804352,11.2953,8.59732,181.04838,6.804352,11.2352,8.56125,51.58494,5.766400,48.1179,11.2873,4.46626,100.88243,95.9383,11.1843,4.46968,100.7067,95.9563,11.2081,4.48848,5.19545,1.571852,2102.66502,1.58911702924905
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-c5,208.7505,342.9757,328.4669,25.2021,16.7972,9.024416,9.024416,24.9686,17.3272,9.024416,9.024416,25.4775,16.8139,104.7504,142.4026,83.6932,11.4693,8.57887,151.93707,176.87812,11.2953,8.59732,151.49962,175.99631,11.2352,8.56125,3.459840,5.766400,48.1179,11.2873,4.46626,100.88243,95.9383,11.1843,4.46968,90.82636,95.9563,11.2081,4.48848,5.19545,0.725589,2583.744513,1.29323189768369
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-c8,208.7505,342.9757,9.024416,25.2021,16.7972,9.024416,9.024416,24.9686,17.3272,9.024416,9.024416,25.4775,16.8139,104.7504,142.4026,99.91022,11.4693,8.57887,151.93707,6.804352,11.2953,8.59732,181.04838,175.99631,11.2352,8.56125,3.459840,5.766400,48.1179,11.2873,4.46626,100.88243,95.9383,11.1843,4.46968,90.82636,95.9563,11.2081,4.48848,5.19545,1.571852,2140.840304,1.56078002954208
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-c13,208.7505,207.8389,9.024416,25.2021,16.7972,9.024416,198.6494,24.9686,17.3272,259.7649,285.9489,25.4775,16.8139,104.7504,6.804352,2.306560,11.4693,8.57887,151.93707,6.804352,11.2953,8.59732,151.49962,175.99631,11.2352,8.56125,3.459840,74.50821,48.1179,11.2873,4.46626,80.09278,95.9383,11.1843,4.46968,90.82636,89.01816,11.2081,4.48848,5.19545,1.571852,2501.256808,1.33588074792036
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-c27,2081.109117
-
-Energy
-Configuration,Conv1,Conv2,Conv3,NML1,NML2,Conv4,Conv5,NML3,NML4,Conv6,Conv7,NML5,NML6,Conv8,Conv9,Conv10,NML7,NML8,Conv11,Conv12,NML9,NML10,Conv13,Conv14,NML11,NML12,Conv15,Conv16,Conv17,NML13,NML14,Conv18,Conv19,NML15,NML16,Conv20,Conv21,NML17,NML18,NML19,FC1,Total,Improvement
-c0,367.1935,674.9156,734.4923,131.604,78.945,930.3708,938.716,154.555,92.4142,1252.9937,1385.115,157.253,93.1857,596.759,690.021,401.5683,85.0395,42.293,719.1726,678.3662,85.9011,43.1252,726.3655,686.3864,86.3285,43.6635,373.8222,471.2729,233.5022,67.2674,20.4251,491.0196,475.3594,71.0934,21.0221,501.5035,483.9556,73.1106,21.5459,35.1354,0.5632148,15217.3421148,0.99999999342855
-c1,367.1935,674.9156,734.4923,336.544,74.5864,1021.7777,67.644319,108.541,77.2477,1342.9017,67.644319,107.72,72.987,29.480448,648.5595,442.3803,159.941,38.5238,668.3418,737.6456,49.8165,38.8844,768.7706,794.6234,49.6507,39.5474,18.903715,471.2729,291.5164,49.7509,21.8376,347.1207,382.2379,50.4854,21.963,521.315,413.8585,50.3589,22.1017,23.3959,0.6085782,12207.0880792,1.24659885235606
-c2,367.1935,674.9156,67.644319,109.339,74.5864,1021.7777,67.644319,108.541,77.2477,1342.9017,1385.115,351.059,72.987,29.480448,648.5595,442.3803,159.941,38.5238,42.156294,42.156294,49.8165,38.8844,768.7706,794.6234,49.6507,39.5474,393.7426,471.2729,291.5164,49.7509,21.8376,347.1207,495.6046,120.4748,21.963,393.9254,382.9785,50.3589,22.1017,23.3959,0.08824,11951.575014,1.27324992477138
-c3,533.7291,748.8261,67.644319,109.339,74.5864,67.644319,938.716,368.498,77.2477,67.644319,67.644319,107.72,72.987,639.1792,690.021,558.879,49.588,38.5238,761.6715,42.156294,49.8165,38.8844,763.2659,42.156294,49.6507,39.5474,226.8183,29.560412,233.5022,106.94,21.8376,511.0788,475.3594,120.4748,21.963,521.315,483.9556,121.956,22.1017,23.3959,6.45743,9992.282706,1.52290947026265
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-c11,367.1935,674.9156,67.644319,109.339,74.5864,67.644319,1543.1258,108.541,77.2477,1342.9017,1385.115,351.059,72.987,452.0318,648.5595,422.944,49.588,38.5238,668.3418,42.156294,49.8165,38.8844,763.2659,735.4767,49.6507,39.5474,393.7426,357.7395,253.3351,106.94,21.8376,511.0788,413.5184,50.4854,21.963,521.315,29.560412,50.3589,22.1017,23.3959,0.08824,13018.547684,1.16889705113671
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-c25,533.7291,748.8261,67.644319,109.339,74.5864,1558.1515,1543.1258,108.541,77.2477,1693.1477,1471.0861,351.059,72.987,639.1792,709.4595,422.944,49.588,38.5238,668.3418,720.1492,175.6035,38.8844,42.156294,686.3864,175.4817,39.5474,393.7426,357.7395,10.570936,49.7509,21.8376,511.0788,475.3594,120.4748,21.963,393.9254,504.3277,121.956,22.1017,23.3959,0.6085782,15844.5487272,0.960414984406291
-c26,367.1935,1240.8474,819.0329,336.544,74.5864,67.644319,67.644319,108.541,77.2477,67.644319,1385.115,351.059,72.987,452.0318,42.156294,401.5683,159.941,38.5238,668.3418,720.1492,175.6035,38.8844,763.2659,728.2224,175.4817,39.5474,226.8183,491.752,10.570936,49.7509,21.8376,511.0788,475.3594,120.4748,21.963,393.9254,504.3277,121.956,22.1017,23.3959,0.6085782,12435.7253652,1.22367948354795
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-c28,533.7291,1160.9424,67.644319,109.339,74.5864,1558.1515,67.644319,108.541,77.2477,67.644319,1385.115,351.059,72.987,639.1792,42.156294,401.5683,159.941,38.5238,42.156294,678.3662,175.6035,38.8844,768.7706,794.6234,49.6507,39.5474,226.8183,491.752,291.5164,49.7509,21.8376,511.0788,475.3594,120.4748,21.963,521.315,413.8585,50.3589,22.1017,23.3959,0.6085782,12745.7919232,1.19391106391045
-c29,533.7291,1160.9424,1316.8065,109.339,74.5864,1021.7777,67.644319,108.541,77.2477,1342.9017,67.644319,107.72,72.987,639.1792,709.4595,21.193653,49.588,38.5238,42.156294,737.6456,49.8165,38.8844,763.2659,735.4767,49.6507,39.5474,226.8183,491.752,291.5164,49.7509,21.8376,347.1207,495.6046,120.4748,21.963,521.315,483.9556,121.956,22.1017,23.3959,0.6085782,13216.4258632,1.1513961608964
-c30,533.7291,1160.9424,67.644319,109.339,74.5864,67.644319,67.644319,108.541,77.2477,67.644319,67.644319,107.72,72.987,452.0318,734.2297,558.879,49.588,38.5238,761.6715,678.3662,175.6035,38.8844,763.2659,735.4767,49.6507,39.5474,393.7426,471.2729,233.5022,106.94,21.8376,511.0788,475.3594,120.4748,21.963,393.9254,504.3277,121.956,22.1017,23.3959,0.08824,11080.999035,1.37328249279752
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-c8,9508.819946
-
-Leakage Energy
-Configuration,Conv1,Conv2,Conv3,NML1,NML2,Conv4,Conv5,NML3,NML4,Conv6,Conv7,NML5,NML6,Conv8,Conv9,Conv10,NML7,NML8,Conv11,Conv12,NML9,NML10,Conv13,Conv14,NML11,NML12,Conv15,Conv16,Conv17,NML13,NML14,Conv18,Conv19,NML15,NML16,Conv20,Conv21,NML17,NML18,NML19,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,23.842121,0,0,0,23.842121,0,0,10.859436,0,0,0,0,0,0,0,0,0,0,0,0,7.351726,0,0,0,0,0,0,0,0,0,0,0,0,0,0,65.895404,0
-c2,0,0,23.842121,0,0,0,23.842121,0,0,0,0,0,0,10.859436,0,0,0,0,15.774626,15.774626,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.023423,90.116353,0
-c3,0,0,23.842121,0,0,23.842121,0,0,0,23.842121,23.842121,0,0,0,0,0,0,0,0,15.774626,0,0,0,15.774626,0,0,0,11.797401,0,0,0,0,0,0,0,0,0,0,0,0,0,138.715137,0
-c4,0,0,0,0,0,23.842121,0,0,0,23.842121,23.842121,0,0,10.859436,0,0,0,0,0,0,0,0,0,0,0,0,0,11.797401,0,0,0,0,0,0,0,0,0,0,0,0,0,94.1832,0
-c5,0,0,0,0,0,23.842121,23.842121,0,0,23.842121,23.842121,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.351726,11.797401,0,0,0,0,0,0,0,0,0,0,0,0,0,114.517611,0
-c6,0,0,23.842121,0,0,0,23.842121,0,0,23.842121,0,0,0,0,15.774626,0,0,0,15.774626,0,0,0,0,0,0,0,0,11.797401,0,0,0,0,0,0,0,0,0,0,0,0,0.023423,114.896439,0
-c7,0,0,0,0,0,23.842121,23.842121,0,0,23.842121,23.842121,0,0,0,0,0,0,0,0,15.774626,0,0,0,0,0,0,0,11.797401,0,0,0,0,0,0,0,0,0,0,0,0,0,122.940511,0
-c8,0,0,23.842121,0,0,23.842121,23.842121,0,0,23.842121,23.842121,0,0,0,0,0,0,0,0,15.774626,0,0,0,0,0,0,7.351726,11.797401,0,0,0,0,0,0,0,0,0,0,0,0,0,154.134358,0
-c9,0,0,23.842121,0,0,0,0,0,0,0,23.842121,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.351726,11.797401,0,0,0,0,0,0,0,11.797401,0,0,0,0,0,78.63077,0
-c10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,11.797401,0,0,0,0,11.797401,0
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-c12,0,0,0,0,0,23.842121,0,0,0,0,0,0,0,0,15.774626,6.991873,0,0,0,15.774626,0,0,0,0,0,0,0,11.797401,0,0,0,0,0,0,0,0,0,0,0,0,0,74.180647,0
-c13,0,0,23.842121,0,0,23.842121,0,0,0,0,0,0,0,0,15.774626,6.991873,0,0,0,15.774626,0,0,0,0,0,0,7.351726,0,0,0,0,0,0,0,0,0,0,0,0,0,0,93.577093,0
-c14,0,0,23.842121,0,0,23.842121,0,0,0,0,0,0,0,10.859436,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.023423,58.567101,0
-c15,0,0,23.842121,0,0,23.842121,0,0,0,23.842121,0,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,0,0,0,0,3.468407,0,0,0,0,0,0,0,0,0,0,0,0,90.769396,0
-c16,0,0,0,0,0,23.842121,23.842121,0,0,23.842121,23.842121,0,0,0,0,0,0,0,0,15.774626,0,0,0,0,0,0,0,0,3.468407,0,0,0,0,0,0,0,0,0,0,0,0,114.611517,0
-c17,0,0,23.842121,0,0,0,23.842121,0,0,23.842121,0,0,0,0,15.774626,6.991873,0,0,15.774626,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.023423,110.090911,0
-c18,0,0,23.842121,0,0,0,23.842121,0,0,0,23.842121,0,0,0,0,0,0,0,0,15.774626,0,0,0,0,0,0,7.351726,11.797401,0,0,0,0,0,0,0,0,0,0,0,0,0,106.450116,0
-c19,0,0,23.842121,0,0,0,0,0,0,0,0,0,0,0,0,6.991873,0,0,0,0,0,0,0,0,0,0,0,0,3.468407,0,0,0,11.797401,0,0,0,0,0,0,0,0,46.099802,0
-c20,0,0,23.842121,0,0,0,23.842121,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,0,0,0,0,0,0,7.351726,0,0,0,0,0,0,0,0,0,0,0,0,0,0.023423,70.834017,0
-c21,0,0,23.842121,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,0,0,0,0,0,0,7.351726,0,0,0,0,0,0,0,0,0,0,0,0,0,0,46.968473,0
-c22,0,0,23.842121,0,0,23.842121,23.842121,0,0,23.842121,23.842121,0,0,10.859436,15.774626,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.023423,145.86809,0
-c23,0,0,0,0,0,0,23.842121,0,0,23.842121,23.842121,0,0,0,0,0,0,0,0,15.774626,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,87.300989,0
-c24,0,0,23.842121,0,0,23.842121,23.842121,0,0,0,23.842121,0,0,0,0,0,0,0,0,15.774626,0,0,0,0,0,0,0,11.797401,0,0,0,0,0,0,0,0,0,0,0,0,0,122.940511,0
-c25,0,0,23.842121,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,0,0,0,0,0,3.468407,0,0,0,0,0,0,0,0,0,0,0,0,43.085154,0
-c26,0,0,0,0,0,23.842121,23.842121,0,0,23.842121,0,0,0,0,15.774626,0,0,0,0,0,0,0,0,0,0,0,0,0,3.468407,0,0,0,0,0,0,0,0,0,0,0,0,90.769396,0
-c27,0,0,23.842121,0,0,23.842121,23.842121,0,0,23.842121,23.842121,0,0,10.859436,15.774626,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,145.844667,0
-c28,0,0,23.842121,0,0,0,23.842121,0,0,23.842121,0,0,0,0,15.774626,0,0,0,15.774626,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,103.075615,0
-c29,0,0,0,0,0,0,23.842121,0,0,0,23.842121,0,0,0,0,6.991873,0,0,15.774626,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,70.450741,0
-c30,0,0,23.842121,0,0,23.842121,23.842121,0,0,23.842121,23.842121,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.023423,119.234028,0
-c31,0,0,0,0,0,0,23.842121,0,0,0,23.842121,0,0,0,15.774626,6.991873,0,0,0,0,0,0,0,0,0,0,0,0,3.468407,0,0,0,0,0,0,0,0,0,0,0,0,73.919148,0
-c0,0
-
-Memory Energy
-Configuration,Conv1,Conv2,Conv3,NML1,NML2,Conv4,Conv5,NML3,NML4,Conv6,Conv7,NML5,NML6,Conv8,Conv9,Conv10,NML7,NML8,Conv11,Conv12,NML9,NML10,Conv13,Conv14,NML11,NML12,Conv15,Conv16,Conv17,NML13,NML14,Conv18,Conv19,NML15,NML16,Conv20,Conv21,NML17,NML18,NML19,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,26.345144,0,0,0,26.345144,0,0,9.892485,0,0,0,0,0,0,0,0,0,0,0,0,5.005594,0,0,0,0,0,0,0,0,0,0,0,0,0,0,67.588367,0
-c2,0,0,26.345144,0,0,0,26.345144,0,0,0,0,0,0,9.892485,0,0,0,0,13.288878,13.288878,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.059362,89.219891,0
-c3,0,0,26.345144,0,0,26.345144,0,0,0,26.345144,26.345144,0,0,0,0,0,0,0,0,13.288878,0,0,0,13.288878,0,0,0,6.852352,0,0,0,0,0,0,0,0,0,0,0,0,0,138.810684,0
-c4,0,0,0,0,0,26.345144,0,0,0,26.345144,26.345144,0,0,9.892485,0,0,0,0,0,0,0,0,0,0,0,0,0,6.852352,0,0,0,0,0,0,0,0,0,0,0,0,0,95.780269,0
-c5,0,0,0,0,0,26.345144,26.345144,0,0,26.345144,26.345144,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5.005594,6.852352,0,0,0,0,0,0,0,0,0,0,0,0,0,117.238522,0
-c6,0,0,26.345144,0,0,0,26.345144,0,0,26.345144,0,0,0,0,13.288878,0,0,0,13.288878,0,0,0,0,0,0,0,0,6.852352,0,0,0,0,0,0,0,0,0,0,0,0,0.059362,112.524902,0
-c7,0,0,0,0,0,26.345144,26.345144,0,0,26.345144,26.345144,0,0,0,0,0,0,0,0,13.288878,0,0,0,0,0,0,0,6.852352,0,0,0,0,0,0,0,0,0,0,0,0,0,125.521806,0
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-c14,0,0,26.345144,0,0,26.345144,0,0,0,0,0,0,0,9.892485,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.059362,62.642135,0
-c15,0,0,26.345144,0,0,26.345144,0,0,0,26.345144,0,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,0,0,0,0,4.920397,0,0,0,0,0,0,0,0,0,0,0,0,97.244707,0
-c16,0,0,0,0,0,26.345144,26.345144,0,0,26.345144,26.345144,0,0,0,0,0,0,0,0,13.288878,0,0,0,0,0,0,0,0,4.920397,0,0,0,0,0,0,0,0,0,0,0,0,123.589851,0
-c17,0,0,26.345144,0,0,0,26.345144,0,0,26.345144,0,0,0,0,13.288878,9.837517,0,0,13.288878,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.059362,115.510067,0
-c18,0,0,26.345144,0,0,0,26.345144,0,0,0,26.345144,0,0,0,0,0,0,0,0,13.288878,0,0,0,0,0,0,5.005594,6.852352,0,0,0,0,0,0,0,0,0,0,0,0,0,104.182256,0
-c19,0,0,26.345144,0,0,0,0,0,0,0,0,0,0,0,0,9.837517,0,0,0,0,0,0,0,0,0,0,0,0,4.920397,0,0,0,6.852352,0,0,0,0,0,0,0,0,47.95541,0
-c20,0,0,26.345144,0,0,0,26.345144,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,0,0,0,0,0,0,5.005594,0,0,0,0,0,0,0,0,0,0,0,0,0,0.059362,71.044122,0
-c21,0,0,26.345144,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,0,0,0,0,0,0,5.005594,0,0,0,0,0,0,0,0,0,0,0,0,0,0,44.639616,0
-c22,0,0,26.345144,0,0,26.345144,26.345144,0,0,26.345144,26.345144,0,0,9.892485,13.288878,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.059362,154.966445,0
-c23,0,0,0,0,0,0,26.345144,0,0,26.345144,26.345144,0,0,0,0,0,0,0,0,13.288878,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,92.32431,0
-c24,0,0,26.345144,0,0,26.345144,26.345144,0,0,0,26.345144,0,0,0,0,0,0,0,0,13.288878,0,0,0,0,0,0,0,6.852352,0,0,0,0,0,0,0,0,0,0,0,0,0,125.521806,0
-c25,0,0,26.345144,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,0,0,0,0,0,4.920397,0,0,0,0,0,0,0,0,0,0,0,0,44.554419,0
-c26,0,0,0,0,0,26.345144,26.345144,0,0,26.345144,0,0,0,0,13.288878,0,0,0,0,0,0,0,0,0,0,0,0,0,4.920397,0,0,0,0,0,0,0,0,0,0,0,0,97.244707,0
-c27,0,0,26.345144,0,0,26.345144,26.345144,0,0,26.345144,26.345144,0,0,9.892485,13.288878,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,154.907083,0
-c28,0,0,26.345144,0,0,0,26.345144,0,0,26.345144,0,0,0,0,13.288878,0,0,0,13.288878,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,105.613188,0
-c29,0,0,0,0,0,0,26.345144,0,0,0,26.345144,0,0,0,0,9.837517,0,0,13.288878,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,75.816683,0
-c30,0,0,26.345144,0,0,26.345144,26.345144,0,0,26.345144,26.345144,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.059362,131.785082,0
-c31,0,0,0,0,0,0,26.345144,0,0,0,26.345144,0,0,0,13.288878,9.837517,0,0,0,0,0,0,0,0,0,0,0,0,4.920397,0,0,0,0,0,0,0,0,0,0,0,0,80.73708,0
-c0,0
-
-Memory Time
-Configuration,Conv1,Conv2,Conv3,NML1,NML2,Conv4,Conv5,NML3,NML4,Conv6,Conv7,NML5,NML6,Conv8,Conv9,Conv10,NML7,NML8,Conv11,Conv12,NML9,NML10,Conv13,Conv14,NML11,NML12,Conv15,Conv16,Conv17,NML13,NML14,Conv18,Conv19,NML15,NML16,Conv20,Conv21,NML17,NML18,NML19,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,6.518272,0,0,0,6.518272,0,0,2.573634,0,0,0,0,0,0,0,0,0,0,0,0,1.429432,0,0,0,0,0,0,0,0,0,0,0,0,0,0,17.03961,0
-c2,0,0,6.518272,0,0,0,6.518272,0,0,0,0,0,0,2.573634,0,0,0,0,3.533916,3.533916,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.013655,22.691665,0
-c3,0,0,6.518272,0,0,6.518272,0,0,0,6.518272,6.518272,0,0,0,0,0,0,0,0,3.533916,0,0,0,3.533916,0,0,0,2.071773,0,0,0,0,0,0,0,0,0,0,0,0,0,35.212693,0
-c4,0,0,0,0,0,6.518272,0,0,0,6.518272,6.518272,0,0,2.573634,0,0,0,0,0,0,0,0,0,0,0,0,0,2.071773,0,0,0,0,0,0,0,0,0,0,0,0,0,24.200223,0
-c5,0,0,0,0,0,6.518272,6.518272,0,0,6.518272,6.518272,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.429432,2.071773,0,0,0,0,0,0,0,0,0,0,0,0,0,29.574293,0
-c6,0,0,6.518272,0,0,0,6.518272,0,0,6.518272,0,0,0,0,3.533916,0,0,0,3.533916,0,0,0,0,0,0,0,0,2.071773,0,0,0,0,0,0,0,0,0,0,0,0,0.013655,28.708076,0
-c7,0,0,0,0,0,6.518272,6.518272,0,0,6.518272,6.518272,0,0,0,0,0,0,0,0,3.533916,0,0,0,0,0,0,0,2.071773,0,0,0,0,0,0,0,0,0,0,0,0,0,31.678777,0
-c8,0,0,6.518272,0,0,6.518272,6.518272,0,0,6.518272,6.518272,0,0,0,0,0,0,0,0,3.533916,0,0,0,0,0,0,1.429432,2.071773,0,0,0,0,0,0,0,0,0,0,0,0,0,39.626481,0
-c9,0,0,6.518272,0,0,0,0,0,0,0,6.518272,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.429432,2.071773,0,0,0,0,0,0,0,2.071773,0,0,0,0,0,18.609522,0
-c10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.071773,0,0,0,0,2.071773,0
-c11,0,0,6.518272,0,0,6.518272,0,0,0,0,0,0,0,0,0,0,0,0,0,3.533916,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.071773,0,0,0,0.013655,18.655888,0
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-c13,0,0,6.518272,0,0,6.518272,0,0,0,0,0,0,0,0,3.533916,2.308683,0,0,0,3.533916,0,0,0,0,0,0,1.429432,0,0,0,0,0,0,0,0,0,0,0,0,0,0,23.842491,0
-c14,0,0,6.518272,0,0,6.518272,0,0,0,0,0,0,0,2.573634,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.013655,15.623833,0
-c15,0,0,6.518272,0,0,6.518272,0,0,0,6.518272,0,0,0,0,0,0,0,0,0,0,0,0,0,3.533916,0,0,0,0,1.153683,0,0,0,0,0,0,0,0,0,0,0,0,24.242415,0
-c16,0,0,0,0,0,6.518272,6.518272,0,0,6.518272,6.518272,0,0,0,0,0,0,0,0,3.533916,0,0,0,0,0,0,0,0,1.153683,0,0,0,0,0,0,0,0,0,0,0,0,30.760687,0
-c17,0,0,6.518272,0,0,0,6.518272,0,0,6.518272,0,0,0,0,3.533916,2.308683,0,0,3.533916,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.013655,28.944986,0
-c18,0,0,6.518272,0,0,0,6.518272,0,0,0,6.518272,0,0,0,0,0,0,0,0,3.533916,0,0,0,0,0,0,1.429432,2.071773,0,0,0,0,0,0,0,0,0,0,0,0,0,26.589937,0
-c19,0,0,6.518272,0,0,0,0,0,0,0,0,0,0,0,0,2.308683,0,0,0,0,0,0,0,0,0,0,0,0,1.153683,0,0,0,2.071773,0,0,0,0,0,0,0,0,12.052411,0
-c20,0,0,6.518272,0,0,0,6.518272,0,0,0,0,0,0,0,0,0,0,0,0,3.533916,0,0,0,0,0,0,1.429432,0,0,0,0,0,0,0,0,0,0,0,0,0,0.013655,18.013547,0
-c21,0,0,6.518272,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.533916,0,0,0,0,0,0,1.429432,0,0,0,0,0,0,0,0,0,0,0,0,0,0,11.48162,0
-c22,0,0,6.518272,0,0,6.518272,6.518272,0,0,6.518272,6.518272,0,0,2.573634,3.533916,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.013655,38.712565,0
-c23,0,0,0,0,0,0,6.518272,0,0,6.518272,6.518272,0,0,0,0,0,0,0,0,3.533916,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,23.088732,0
-c24,0,0,6.518272,0,0,6.518272,6.518272,0,0,0,6.518272,0,0,0,0,0,0,0,0,3.533916,0,0,0,0,0,0,0,2.071773,0,0,0,0,0,0,0,0,0,0,0,0,0,31.678777,0
-c25,0,0,6.518272,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.533916,0,0,0,0,0,1.153683,0,0,0,0,0,0,0,0,0,0,0,0,11.205871,0
-c26,0,0,0,0,0,6.518272,6.518272,0,0,6.518272,0,0,0,0,3.533916,0,0,0,0,0,0,0,0,0,0,0,0,0,1.153683,0,0,0,0,0,0,0,0,0,0,0,0,24.242415,0
-c27,0,0,6.518272,0,0,6.518272,6.518272,0,0,6.518272,6.518272,0,0,2.573634,3.533916,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,38.69891,0
-c28,0,0,6.518272,0,0,0,6.518272,0,0,6.518272,0,0,0,0,3.533916,0,0,0,3.533916,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,26.622648,0
-c29,0,0,0,0,0,0,6.518272,0,0,0,6.518272,0,0,0,0,2.308683,0,0,3.533916,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,18.879143,0
-c30,0,0,6.518272,0,0,6.518272,6.518272,0,0,6.518272,6.518272,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.013655,32.605015,0
-c31,0,0,0,0,0,0,6.518272,0,0,0,6.518272,0,0,0,3.533916,2.308683,0,0,0,0,0,0,0,0,0,0,0,0,1.153683,0,0,0,0,0,0,0,0,0,0,0,0,20.032826,0
-c0,0
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-Patch Energy
-Configuration,Conv1,Conv2,Conv3,NML1,NML2,Conv4,Conv5,NML3,NML4,Conv6,Conv7,NML5,NML6,Conv8,Conv9,Conv10,NML7,NML8,Conv11,Conv12,NML9,NML10,Conv13,Conv14,NML11,NML12,Conv15,Conv16,Conv17,NML13,NML14,Conv18,Conv19,NML15,NML16,Conv20,Conv21,NML17,NML18,NML19,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c17,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c18,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c20,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c21,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c22,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c23,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c24,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c25,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c26,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c27,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c28,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c29,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c30,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c31,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c0,0
-
-Quantization Energy
-Configuration,Conv1,Conv2,Conv3,NML1,NML2,Conv4,Conv5,NML3,NML4,Conv6,Conv7,NML5,NML6,Conv8,Conv9,Conv10,NML7,NML8,Conv11,Conv12,NML9,NML10,Conv13,Conv14,NML11,NML12,Conv15,Conv16,Conv17,NML13,NML14,Conv18,Conv19,NML15,NML16,Conv20,Conv21,NML17,NML18,NML19,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,227.205,0,91.4069,0,0,0,89.908,0,0,0,0,0,40.812,110.353,0,0,0,0,0,42.4051,59.1467,0,0,0,0,69.8631,0,0,0,0,0,0,19.8115,30.88,0,0,0,0.0453634,781.8366634,0
-c2,0,0,0,0,0,91.4069,0,0,0,89.908,0,243.339,0,0,0,40.812,110.353,0,0,0,0,0,42.4051,59.1467,0,0,19.9204,0,69.8631,0,0,0,20.2452,69.9894,0,0,0,0,0,0,0,857.3888,0
-c3,13.0911,73.9105,0,0,0,0,0,259.957,0,0,0,0,0,42.4202,0,135.935,0,0,42.4989,0,0,0,0,0,0,0,0,0,0,57.1891,0,20.0592,0,69.9894,0,19.8115,0,71.5971,0,0,0,806.459,0
-c4,13.0911,0,0,0,0,0,0,259.957,0,0,0,0,0,0,0,135.935,0,0,42.4989,59.0727,0,0,0,0,0,0,0,0,0,57.1891,0,20.0592,0,69.9894,0,0,20.3721,71.5971,0,0,0.0453634,749.8069634,0
-c5,13.0911,0,0,0,0,0,0,0,0,0,0,0,0,0,44.2087,0,110.353,0,42.4989,59.0727,0,0,42.4051,59.1467,0,0,0,0,0,57.1891,0,20.0592,0,69.9894,0,0,20.3721,71.5971,0,0,0.0453634,610.0284634,0
-c6,13.0911,0,0,0,0,0,0,0,0,0,0,243.339,0,42.4202,0,0,110.353,0,0,0,0,0,42.4051,0,125.831,0,19.9204,0,0,0,0,20.0592,0,69.9894,0,19.8115,30.88,0,0,0,0,738.0999,0
-c7,13.0911,0,0,0,0,0,0,0,0,0,0,0,0,0,44.2087,135.935,0,0,42.4989,0,0,0,42.4051,59.1467,0,0,0,0,0,57.1891,0,20.0592,0,69.9894,0,0,20.3721,71.5971,0,0,0.0453634,576.5377634,0
-c8,13.0911,0,0,0,0,0,0,0,0,0,0,0,0,0,44.2087,135.935,0,0,42.4989,0,0,0,0,0,0,0,0,0,0,57.1891,0,20.0592,0,69.9894,0,0,20.3721,71.5971,0,0,0,474.9406,0
-c9,13.0911,0,0,0,0,0,0,0,0,89.908,0,0,0,42.4202,0,0,110.353,0,0,0,0,0,42.4051,0,125.831,0,0,0,0,57.1891,0,20.0592,31.2805,0,0,0,0,71.5971,0,0,0.0453634,604.1796634,0
-c10,13.0911,73.9105,0,227.205,0,0,89.4069,259.957,0,0,0,0,0,42.4202,60.9,40.812,110.353,0,42.4989,59.0727,0,0,0,0,0,0,19.9204,31.1377,19.8329,57.1891,0,20.0592,0,69.9894,0,0,0,0,0,0,0.0453634,1237.8013634,0
-c11,0,0,0,0,0,0,0,0,0,89.908,0,243.339,0,0,0,0,0,0,0,0,0,0,0,0,0,0,19.9204,31.1377,19.8329,57.1891,0,20.0592,31.2805,0,0,19.8115,0,0,0,0,0,532.4783,0
-c12,13.0911,73.9105,103.065,0,0,0,0,259.957,0,0,85.9711,243.339,0,42.4202,0,0,0,0,0,0,0,0,42.4051,59.1467,0,0,19.9204,0,0,57.1891,0,0,20.2452,69.9894,0,0,20.3721,71.5971,0,0,0.0453634,1182.6643634,0
-c13,13.0911,73.9105,0,0,0,0,0,259.957,0,89.908,0,243.339,0,0,0,0,0,0,42.4989,0,0,0,42.4051,59.1467,0,0,0,0,19.8329,57.1891,0,0,20.2452,69.9894,0,0,0,0,0,0,0,991.5129,0
-c14,0,79.905,0,0,0,0,0,0,0,0,85.9711,243.339,0,0,0,0,0,0,0,0,0,0,42.4051,59.1467,0,0,19.9204,31.1377,19.8329,57.1891,0,20.0592,0,69.9894,0,19.8115,0,71.5971,0,0,0,820.3042,0
-c15,13.0911,0,0,0,0,0,0,0,0,0,0,0,0,42.4202,0,135.935,0,0,42.4989,59.0727,0,0,0,0,0,0,0,20.4791,0,0,0,20.0592,0,69.9894,0,19.8115,0,71.5971,0,0,0,494.9542,0
-c16,13.0911,73.9105,103.065,0,0,0,0,0,0,0,0,0,0,0,44.2087,135.935,0,0,42.4989,0,0,0,0,0,0,0,19.9204,31.1377,0,0,0,0,20.2452,69.9894,0,0,0,0,0,0,0.0453634,554.0472634,0
-c17,13.0911,0,0,0,0,91.4069,0,0,0,0,0,0,0,42.4202,0,0,0,0,0,0,0,0,42.4051,59.1467,0,0,19.9204,0,69.8631,0,0,20.0592,0,69.9894,0,19.8115,30.88,0,0,0,0,478.9936,0
-c18,13.0911,0,0,0,0,91.4069,0,0,0,89.908,0,0,0,0,44.2087,135.935,0,0,42.4989,0,0,0,0,0,0,0,0,0,0,57.1891,0,20.0592,0,69.9894,0,0,20.3721,71.5971,0,0,0.0453634,656.3008634,0
-c19,13.0911,0,0,0,0,91.4069,126.901,0,0,0,85.9711,243.339,0,42.4202,60.9,0,0,0,42.4989,59.0727,0,0,42.4051,0,125.831,0,0,0,0,0,0,0,0,0,0,0,20.3721,71.5971,0,0,0.0453634,1025.8515634,0
-c20,0,0,0,0,0,0,0,0,0,0,85.9711,243.339,0,0,0,40.812,110.353,0,0,0,0,0,42.4051,0,125.831,0,0,0,0,0,0,0,20.2452,69.9894,0,0,20.3721,71.5971,0,0,0,830.915,0
-c21,0,0,0,0,0,0,89.4069,259.957,0,89.908,0,243.339,0,42.4202,0,135.935,0,0,0,0,0,0,0,0,0,0,0,0,19.8329,57.1891,0,20.0592,0,69.9894,0,0,20.3721,71.5971,0,0,0.0453634,1120.0512634,0
-c22,13.0911,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,110.353,0,42.4989,0,125.787,0,0,0,0,0,0,0,19.8329,57.1891,0,20.0592,0,69.9894,0,19.8115,0,71.5971,0,0,0,550.2092,0
-c23,13.0911,0,0,0,0,91.4069,0,0,0,0,0,0,0,0,44.2087,135.935,0,0,42.4989,0,0,0,0,0,0,0,0,0,19.8329,57.1891,0,20.0592,0,69.9894,0,0,20.3721,71.5971,0,0,0.0453634,586.2257634,0
-c24,13.0911,0,0,0,0,0,0,0,0,0,0,0,0,42.4202,0,0,110.353,0,42.4989,0,0,0,0,41.836,125.831,0,0,0,0,57.1891,0,20.0592,0,69.9894,0,0,20.3721,71.5971,0,0,0.0453634,615.2824634,0
-c25,13.0911,73.9105,0,0,0,0,0,0,0,0,85.9711,243.339,0,42.4202,60.9,0,0,0,0,41.783,125.787,0,0,0,125.831,0,19.9204,31.1377,0,0,0,20.0592,0,69.9894,0,0,20.3721,71.5971,0,0,0.0453634,1046.1541634,0
-c26,0,79.905,84.5406,227.205,0,0,0,0,0,0,0,243.339,0,0,0,0,110.353,0,0,41.783,125.787,0,0,41.836,125.831,0,0,20.4791,0,0,0,20.0592,0,69.9894,0,0,20.3721,71.5971,0,0,0.0453634,1283.1218634,0
-c27,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,42.4989,0,125.787,0,42.4051,59.1467,0,0,19.9204,31.1377,19.8329,57.1891,0,20.0592,0,69.9894,0,0,20.3721,71.5971,0,0,0.0453634,659.8859634,0
-c28,13.0911,0,0,0,0,0,0,0,0,0,0,243.339,0,42.4202,0,0,110.353,0,0,0,125.787,0,42.4051,59.1467,0,0,0,20.4791,69.8631,0,0,20.0592,0,69.9894,0,19.8115,30.88,0,0,0,0.0453634,867.6697634,0
-c29,13.0911,0,0,0,0,91.4069,0,0,0,89.908,0,0,0,42.4202,60.9,0,0,0,0,0,0,0,0,0,0,0,0,20.4791,69.8631,0,0,0,20.2452,69.9894,0,19.8115,0,71.5971,0,0,0.0453634,569.7569634,0
-c30,13.0911,0,0,0,0,0,0,0,0,0,0,0,0,0,44.2087,135.935,0,0,42.4989,0,125.787,0,0,0,0,0,19.9204,0,0,57.1891,0,20.0592,0,69.9894,0,0,20.3721,71.5971,0,0,0,620.648,0
-c31,0,79.905,84.5406,227.205,0,0,0,0,0,0,0,0,0,42.4202,0,0,0,0,0,41.783,125.787,0,0,41.836,125.831,0,0,20.4791,0,0,0,20.0592,0,69.9894,0,0,20.3721,71.5971,0,0,0.0453634,971.8500634,0
-c0,0
-
-Quantization Time
-Configuration,Conv1,Conv2,Conv3,NML1,NML2,Conv4,Conv5,NML3,NML4,Conv6,Conv7,NML5,NML6,Conv8,Conv9,Conv10,NML7,NML8,Conv11,Conv12,NML9,NML10,Conv13,Conv14,NML11,NML12,Conv15,Conv16,Conv17,NML13,NML14,Conv18,Conv19,NML15,NML16,Conv20,Conv21,NML17,NML18,NML19,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,54.8381,0,20.9916,0,0,0,21.0334,0,0,0,0,0,10.5675,27.8587,0,0,0,0,0,10.5613,14.7899,0,0,0,0,16.9562,0,0,0,0,0,0,5.3629,8.01787,0,0,0,0.182164,191.159634,0
-c2,0,0,0,0,0,20.9916,0,0,0,21.0334,0,60.3765,0,0,0,10.5675,27.8587,0,0,0,0,0,10.5613,14.7899,0,0,5.36591,0,16.9562,0,0,0,5.41437,17.215,0,0,0,0,0,0,0,211.13038,0
-c3,6.3224,20.9352,0,0,0,0,0,62.7404,0,0,0,0,0,10.5944,0,32.0547,0,0,10.5792,0,0,0,0,0,0,0,0,0,0,14.405,0,5.36257,0,17.215,0,5.3629,0,17.4758,0,0,0,203.04757,0
-c4,6.3224,0,0,0,0,0,0,62.7404,0,0,0,0,0,0,0,32.0547,0,0,10.5792,14.881,0,0,0,0,0,0,0,0,0,14.405,0,5.36257,0,17.215,0,0,5.37001,17.4758,0,0,0.182164,186.588244,0
-c5,6.3224,0,0,0,0,0,0,0,0,0,0,0,0,0,10.6041,0,27.8587,0,10.5792,14.881,0,0,10.5613,14.7899,0,0,0,0,0,14.405,0,5.36257,0,17.215,0,0,5.37001,17.4758,0,0,0.182164,155.607144,0
-c6,6.3224,0,0,0,0,0,0,0,0,0,0,60.3765,0,10.5944,0,0,27.8587,0,0,0,0,0,10.5613,0,31.0414,0,5.36591,0,0,0,0,5.36257,0,17.215,0,5.3629,8.01787,0,0,0,0,188.07895,0
-c7,6.3224,0,0,0,0,0,0,0,0,0,0,0,0,0,10.6041,32.0547,0,0,10.5792,0,0,0,10.5613,14.7899,0,0,0,0,0,14.405,0,5.36257,0,17.215,0,0,5.37001,17.4758,0,0,0.182164,144.922144,0
-c8,6.3224,0,0,0,0,0,0,0,0,0,0,0,0,0,10.6041,32.0547,0,0,10.5792,0,0,0,0,0,0,0,0,0,0,14.405,0,5.36257,0,17.215,0,0,5.37001,17.4758,0,0,0,119.38878,0
-c9,6.3224,0,0,0,0,0,0,0,0,21.0334,0,0,0,10.5944,0,0,27.8587,0,0,0,0,0,10.5613,0,31.0414,0,0,0,0,14.405,0,5.36257,8.10378,0,0,0,0,17.4758,0,0,0.182164,152.940914,0
-c10,6.3224,20.9352,0,54.8381,0,0,21.0449,62.7404,0,0,0,0,0,10.5944,14.972,10.5675,27.8587,0,10.5792,14.881,0,0,0,0,0,0,5.36591,8.07266,5.36951,14.405,0,5.36257,0,17.215,0,0,0,0,0,0,0.182164,311.306614,0
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diff --git a/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_results1.csv b/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_results1.csv
deleted file mode 100644
index 0631464ab20d0003a9923616f97d3d2fde356614..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_results1.csv
+++ /dev/null
@@ -1,418 +0,0 @@
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-c9,367.1935,1160.9424,1316.8065,109.339,74.5864,1558.1515,1543.1258,108.541,77.2477,1693.1477,1601.9877,107.72,72.987,452.0318,648.5595,422.944,49.588,38.5238,668.3418,737.6456,49.8165,38.8844,763.2659,13.092790,49.6507,39.5474,226.8183,326.6018,221.6533,49.7509,21.8376,347.1207,382.2379,50.4854,21.963,393.9254,382.9785,50.3589,22.1017,23.3959,6.45743,16291.35512,0.934074661641317
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-c11,367.1935,1160.9424,1316.8065,109.339,74.5864,1558.1515,1543.1258,108.541,77.2477,1693.1477,1601.9877,107.72,72.987,452.0318,648.5595,4.364263,49.588,38.5238,668.3418,737.6456,49.8165,38.8844,763.2659,13.092790,49.6507,39.5474,226.8183,326.6018,221.6533,49.7509,21.8376,347.1207,10.910659,50.4854,21.963,393.9254,382.9785,50.3589,22.1017,23.3959,6.45743,15501.448142,0.98167228488818
-c12,367.1935,1160.9424,1316.8065,109.339,74.5864,1558.1515,1543.1258,108.541,77.2477,1693.1477,1601.9877,107.72,72.987,452.0318,648.5595,422.944,49.588,38.5238,668.3418,737.6456,49.8165,38.8844,763.2659,13.092790,49.6507,39.5474,226.8183,326.6018,221.6533,49.7509,21.8376,347.1207,382.2379,50.4854,21.963,393.9254,382.9785,50.3589,22.1017,23.3959,6.45743,16291.35512,0.934074661641317
-c13,367.1935,1160.9424,1316.8065,109.339,74.5864,1558.1515,1543.1258,108.541,77.2477,1693.1477,1601.9877,107.72,72.987,452.0318,648.5595,422.944,49.588,38.5238,13.092790,13.092790,49.8165,38.8844,763.2659,735.4767,49.6507,39.5474,226.8183,10.910659,221.6533,49.7509,21.8376,347.1207,382.2379,50.4854,21.963,393.9254,382.9785,50.3589,22.1017,23.3959,6.45743,15318.246069,0.993412819386321
-c14,367.1935,1160.9424,1316.8065,109.339,74.5864,1558.1515,1543.1258,108.541,77.2477,1693.1477,1601.9877,107.72,72.987,452.0318,648.5595,422.944,49.588,38.5238,668.3418,737.6456,49.8165,38.8844,763.2659,735.4767,49.6507,39.5474,226.8183,10.910659,221.6533,49.7509,21.8376,347.1207,382.2379,50.4854,21.963,393.9254,382.9785,50.3589,22.1017,23.3959,6.45743,16698.047889,0.911324612602897
-c15,367.1935,1160.9424,1316.8065,109.339,74.5864,1558.1515,1543.1258,108.541,77.2477,1693.1477,1601.9877,107.72,72.987,452.0318,648.5595,422.944,49.588,38.5238,668.3418,737.6456,49.8165,38.8844,763.2659,735.4767,49.6507,39.5474,226.8183,10.910659,221.6533,49.7509,21.8376,347.1207,382.2379,50.4854,21.963,393.9254,382.9785,50.3589,22.1017,23.3959,6.45743,16698.047889,0.911324612602897
-c16,367.1935,1160.9424,1316.8065,109.339,74.5864,1558.1515,1543.1258,108.541,77.2477,1693.1477,1601.9877,107.72,72.987,452.0318,648.5595,422.944,49.588,38.5238,668.3418,737.6456,49.8165,38.8844,763.2659,13.092790,49.6507,39.5474,226.8183,326.6018,221.6533,49.7509,21.8376,347.1207,382.2379,50.4854,21.963,393.9254,382.9785,50.3589,22.1017,23.3959,6.45743,16291.35512,0.934074661641317
-c17,367.1935,1160.9424,1316.8065,109.339,74.5864,1558.1515,1543.1258,108.541,77.2477,1693.1477,1601.9877,107.72,72.987,452.0318,648.5595,422.944,49.588,38.5238,668.3418,737.6456,49.8165,38.8844,763.2659,735.4767,49.6507,39.5474,226.8183,10.910659,221.6533,49.7509,21.8376,347.1207,382.2379,50.4854,21.963,393.9254,382.9785,50.3589,22.1017,23.3959,6.45743,16698.047889,0.911324612602897
-c18,367.1935,1160.9424,1316.8065,109.339,74.5864,1558.1515,1543.1258,108.541,77.2477,1693.1477,1601.9877,107.72,72.987,452.0318,648.5595,422.944,49.588,38.5238,668.3418,737.6456,49.8165,38.8844,763.2659,13.092790,49.6507,39.5474,226.8183,326.6018,221.6533,49.7509,21.8376,347.1207,382.2379,50.4854,21.963,393.9254,382.9785,50.3589,22.1017,23.3959,6.45743,16291.35512,0.934074661641317
-c19,367.1935,1160.9424,1316.8065,109.339,74.5864,1558.1515,1543.1258,108.541,77.2477,1693.1477,1601.9877,107.72,72.987,452.0318,648.5595,4.364263,49.588,38.5238,668.3418,737.6456,49.8165,38.8844,763.2659,13.092790,49.6507,39.5474,226.8183,326.6018,221.6533,49.7509,21.8376,347.1207,10.910659,50.4854,21.963,393.9254,382.9785,50.3589,22.1017,23.3959,6.45743,15501.448142,0.98167228488818
-c20,367.1935,1160.9424,1316.8065,109.339,74.5864,1558.1515,1543.1258,108.541,77.2477,1693.1477,1601.9877,107.72,72.987,452.0318,648.5595,422.944,49.588,38.5238,668.3418,737.6456,49.8165,38.8844,763.2659,13.092790,49.6507,39.5474,226.8183,326.6018,221.6533,49.7509,21.8376,347.1207,382.2379,50.4854,21.963,393.9254,382.9785,50.3589,22.1017,23.3959,6.45743,16291.35512,0.934074661641317
-c21,367.1935,1160.9424,1316.8065,109.339,74.5864,1558.1515,17.457054,108.541,77.2477,1693.1477,1601.9877,107.72,72.987,452.0318,648.5595,422.944,49.588,38.5238,668.3418,13.092790,49.8165,38.8844,763.2659,13.092790,49.6507,39.5474,226.8183,326.6018,221.6533,49.7509,21.8376,347.1207,382.2379,50.4854,21.963,393.9254,382.9785,50.3589,22.1017,23.3959,6.45743,14041.133564,1.08376876674963
-c22,367.1935,1160.9424,1316.8065,109.339,74.5864,1558.1515,17.457054,108.541,77.2477,1693.1477,17.457054,107.72,72.987,452.0318,648.5595,422.944,49.588,38.5238,668.3418,13.092790,49.8165,38.8844,763.2659,735.4767,49.6507,39.5474,226.8183,326.6018,221.6533,49.7509,21.8376,347.1207,382.2379,50.4854,21.963,393.9254,382.9785,50.3589,22.1017,23.3959,6.45743,13178.986828,1.15466706188693
-c23,367.1935,1160.9424,1316.8065,109.339,74.5864,1558.1515,1543.1258,108.541,77.2477,1693.1477,1601.9877,107.72,72.987,452.0318,648.5595,422.944,49.588,38.5238,668.3418,737.6456,49.8165,38.8844,763.2659,13.092790,49.6507,39.5474,226.8183,326.6018,221.6533,49.7509,21.8376,347.1207,382.2379,50.4854,21.963,393.9254,382.9785,50.3589,22.1017,23.3959,6.45743,16291.35512,0.934074661641317
-c24,367.1935,1160.9424,1316.8065,109.339,74.5864,1558.1515,1543.1258,108.541,77.2477,1693.1477,1601.9877,107.72,72.987,452.0318,648.5595,422.944,49.588,38.5238,13.092790,13.092790,49.8165,38.8844,763.2659,735.4767,49.6507,39.5474,226.8183,10.910659,221.6533,49.7509,21.8376,347.1207,382.2379,50.4854,21.963,393.9254,382.9785,50.3589,22.1017,23.3959,6.45743,15318.246069,0.993412819386321
-c25,367.1935,1160.9424,1316.8065,109.339,74.5864,1558.1515,1543.1258,108.541,77.2477,1693.1477,1601.9877,107.72,72.987,452.0318,648.5595,422.944,49.588,38.5238,668.3418,737.6456,49.8165,38.8844,763.2659,735.4767,49.6507,39.5474,226.8183,10.910659,221.6533,49.7509,21.8376,347.1207,382.2379,50.4854,21.963,393.9254,382.9785,50.3589,22.1017,23.3959,6.45743,16698.047889,0.911324612602897
-c26,367.1935,1160.9424,1316.8065,109.339,74.5864,1558.1515,1543.1258,108.541,77.2477,1693.1477,1601.9877,107.72,72.987,452.0318,648.5595,422.944,49.588,38.5238,668.3418,737.6456,49.8165,38.8844,763.2659,735.4767,49.6507,39.5474,226.8183,10.910659,221.6533,49.7509,21.8376,347.1207,382.2379,50.4854,21.963,393.9254,382.9785,50.3589,22.1017,23.3959,6.45743,16698.047889,0.911324612602897
-c27,367.1935,1160.9424,1316.8065,109.339,74.5864,1558.1515,1543.1258,108.541,77.2477,1693.1477,1601.9877,107.72,72.987,452.0318,648.5595,422.944,49.588,38.5238,668.3418,737.6456,49.8165,38.8844,763.2659,13.092790,49.6507,39.5474,226.8183,326.6018,221.6533,49.7509,21.8376,347.1207,382.2379,50.4854,21.963,393.9254,382.9785,50.3589,22.1017,23.3959,6.45743,16291.35512,0.934074661641317
-c28,367.1935,1160.9424,1316.8065,109.339,74.5864,1558.1515,1543.1258,108.541,77.2477,1693.1477,1601.9877,107.72,72.987,452.0318,648.5595,422.944,49.588,38.5238,668.3418,737.6456,49.8165,38.8844,763.2659,735.4767,49.6507,39.5474,226.8183,10.910659,221.6533,49.7509,21.8376,347.1207,382.2379,50.4854,21.963,393.9254,382.9785,50.3589,22.1017,23.3959,6.45743,16698.047889,0.911324612602897
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-c30,367.1935,1160.9424,1316.8065,109.339,74.5864,1558.1515,1543.1258,108.541,77.2477,1693.1477,1601.9877,107.72,72.987,452.0318,648.5595,4.364263,49.588,38.5238,668.3418,737.6456,49.8165,38.8844,763.2659,13.092790,49.6507,39.5474,226.8183,326.6018,221.6533,49.7509,21.8376,347.1207,10.910659,50.4854,21.963,393.9254,382.9785,50.3589,22.1017,23.3959,6.45743,15501.448142,0.98167228488818
-c31,367.1935,1160.9424,1316.8065,109.339,74.5864,1558.1515,1543.1258,108.541,77.2477,1693.1477,1601.9877,107.72,72.987,452.0318,648.5595,422.944,49.588,38.5238,668.3418,737.6456,49.8165,38.8844,763.2659,13.092790,49.6507,39.5474,226.8183,326.6018,221.6533,49.7509,21.8376,347.1207,382.2379,50.4854,21.963,393.9254,382.9785,50.3589,22.1017,23.3959,6.45743,16291.35512,0.934074661641317
-c32,367.1935,1160.9424,1316.8065,109.339,74.5864,1558.1515,17.457054,108.541,77.2477,1693.1477,1601.9877,107.72,72.987,452.0318,648.5595,422.944,49.588,38.5238,668.3418,13.092790,49.8165,38.8844,763.2659,13.092790,49.6507,39.5474,226.8183,326.6018,221.6533,49.7509,21.8376,347.1207,382.2379,50.4854,21.963,393.9254,382.9785,50.3589,22.1017,23.3959,6.45743,14041.133564,1.08376876674963
-c33,367.1935,1160.9424,1316.8065,109.339,74.5864,1558.1515,1543.1258,108.541,77.2477,1693.1477,1601.9877,107.72,72.987,452.0318,648.5595,422.944,49.588,38.5238,668.3418,737.6456,49.8165,38.8844,763.2659,735.4767,49.6507,39.5474,226.8183,326.6018,221.6533,49.7509,21.8376,347.1207,382.2379,50.4854,21.963,393.9254,382.9785,50.3589,22.1017,23.3959,6.45743,17013.73903,0.894414919526276
-c22,13178.986828
-
-Compute Time
-Configuration,Conv1,Conv2,Conv3,NML1,NML2,Conv4,Conv5,NML3,NML4,Conv6,Conv7,NML5,NML6,Conv8,Conv9,Conv10,NML7,NML8,Conv11,Conv12,NML9,NML10,Conv13,Conv14,NML11,NML12,Conv15,Conv16,Conv17,NML13,NML14,Conv18,Conv19,NML15,NML16,Conv20,Conv21,NML17,NML18,NML19,FC1,Total,Improvement
-c0,137.165,207.8389,189.6515,31.9722,19.0941,208.4406,198.6494,31.9182,19.1354,259.7649,285.9489,32.0305,19.0951,123.27345,142.4026,83.6932,18.2347,9.39785,151.93707,142.1728,18.074,9.41748,151.49962,142.1021,18.0244,9.40974,77.39211,95.8733,48.1179,14.1964,4.87483,100.88243,95.9383,14.534,4.81198,100.7067,95.9563,14.737,4.81593,7.47447,0.725589,3341.380949,0.999999970072255
-c1,137.165,342.9757,328.4669,25.2021,16.7972,356.8393,359.5265,24.9686,17.3272,399.7504,388.4166,25.4775,16.8139,104.7504,148.08761,99.91022,11.4693,8.57887,157.84032,176.87812,11.2953,8.59732,181.04838,6.804352,11.2352,8.56125,51.58494,74.50821,50.93214,11.2873,4.46626,80.09278,89.0888,11.1843,4.46968,90.82636,89.01816,11.2081,4.48848,5.19545,1.571852,3954.706354,0.844912508138335
-c2,137.165,342.9757,328.4669,25.2021,16.7972,356.8393,359.5265,24.9686,17.3272,399.7504,388.4166,25.4775,16.8139,104.7504,148.08761,99.91022,11.4693,8.57887,6.804352,6.804352,11.2953,8.59732,181.04838,175.99631,11.2352,8.56125,51.58494,5.766400,50.93214,11.2873,4.46626,80.09278,89.0888,11.1843,4.46968,90.82636,89.01816,11.2081,4.48848,5.19545,1.571852,3734.046766,0.894841727731009
-c3,137.165,342.9757,328.4669,25.2021,16.7972,356.8393,359.5265,24.9686,17.3272,399.7504,388.4166,25.4775,16.8139,104.7504,148.08761,99.91022,11.4693,8.57887,157.84032,176.87812,11.2953,8.59732,181.04838,175.99631,11.2352,8.56125,51.58494,5.766400,50.93214,11.2873,4.46626,80.09278,89.0888,11.1843,4.46968,90.82636,89.01816,11.2081,4.48848,5.19545,1.571852,4055.156502,0.823983208774732
-c4,137.165,342.9757,328.4669,25.2021,16.7972,356.8393,359.5265,24.9686,17.3272,399.7504,388.4166,25.4775,16.8139,104.7504,148.08761,99.91022,11.4693,8.57887,157.84032,176.87812,11.2953,8.59732,181.04838,175.99631,11.2352,8.56125,51.58494,5.766400,50.93214,11.2873,4.46626,80.09278,89.0888,11.1843,4.46968,90.82636,89.01816,11.2081,4.48848,5.19545,1.571852,4055.156502,0.823983208774732
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-c22,3223.930276
-
-Energy
-Configuration,Conv1,Conv2,Conv3,NML1,NML2,Conv4,Conv5,NML3,NML4,Conv6,Conv7,NML5,NML6,Conv8,Conv9,Conv10,NML7,NML8,Conv11,Conv12,NML9,NML10,Conv13,Conv14,NML11,NML12,Conv15,Conv16,Conv17,NML13,NML14,Conv18,Conv19,NML15,NML16,Conv20,Conv21,NML17,NML18,NML19,FC1,Total,Improvement
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-c1,367.1935,1240.8474,1316.8065,109.339,74.5864,1558.1515,1543.1258,108.541,77.2477,1693.1477,1601.9877,107.72,72.987,452.0318,648.5595,422.944,49.588,38.5238,668.3418,737.6456,49.8165,38.8844,763.2659,42.156294,49.6507,39.5474,226.8183,326.6018,221.6533,49.7509,21.8376,347.1207,382.2379,50.4854,21.963,393.9254,382.9785,50.3589,22.1017,23.3959,6.45743,16400.323624,0.927868398873808
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-Leakage Energy
-Configuration,Conv1,Conv2,Conv3,NML1,NML2,Conv4,Conv5,NML3,NML4,Conv6,Conv7,NML5,NML6,Conv8,Conv9,Conv10,NML7,NML8,Conv11,Conv12,NML9,NML10,Conv13,Conv14,NML11,NML12,Conv15,Conv16,Conv17,NML13,NML14,Conv18,Conv19,NML15,NML16,Conv20,Conv21,NML17,NML18,NML19,FC1,Total,Improvement
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-c12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,0
-c13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,15.774626,0,0,0,0,0,0,0,11.797401,0,0,0,0,0,0,0,0,0,0,0,0,0,43.346653,0
-c14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,11.797401,0,0,0,0,0,0,0,0,0,0,0,0,0,11.797401,0
-c15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,11.797401,0,0,0,0,0,0,0,0,0,0,0,0,0,11.797401,0
-c16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,0
-c17,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,11.797401,0,0,0,0,0,0,0,0,0,0,0,0,0,11.797401,0
-c18,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,0
-c19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6.991873,0,0,0,0,0,0,0,15.774626,0,0,0,0,0,0,0,0,11.797401,0,0,0,0,0,0,0,0,34.5639,0
-c20,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,0
-c21,0,0,0,0,0,0,23.842121,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,0,0,0,15.774626,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,55.391373,0
-c22,0,0,0,0,0,0,23.842121,0,0,0,23.842121,0,0,0,0,0,0,0,0,15.774626,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,63.458868,0
-c23,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,0
-c24,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,15.774626,0,0,0,0,0,0,0,11.797401,0,0,0,0,0,0,0,0,0,0,0,0,0,43.346653,0
-c25,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,11.797401,0,0,0,0,0,0,0,0,0,0,0,0,0,11.797401,0
-c26,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,11.797401,0,0,0,0,0,0,0,0,0,0,0,0,0,11.797401,0
-c27,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,0
-c28,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,11.797401,0,0,0,0,0,0,0,0,0,0,0,0,0,11.797401,0
-c29,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,0
-c30,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6.991873,0,0,0,0,0,0,0,15.774626,0,0,0,0,0,0,0,0,11.797401,0,0,0,0,0,0,0,0,34.5639,0
-c31,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,0
-c32,0,0,0,0,0,0,23.842121,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,0,0,0,15.774626,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,55.391373,0
-c33,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c0,0
-
-Memory Energy
-Configuration,Conv1,Conv2,Conv3,NML1,NML2,Conv4,Conv5,NML3,NML4,Conv6,Conv7,NML5,NML6,Conv8,Conv9,Conv10,NML7,NML8,Conv11,Conv12,NML9,NML10,Conv13,Conv14,NML11,NML12,Conv15,Conv16,Conv17,NML13,NML14,Conv18,Conv19,NML15,NML16,Conv20,Conv21,NML17,NML18,NML19,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,0
-c2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,13.288878,0,0,0,0,0,0,0,6.852352,0,0,0,0,0,0,0,0,0,0,0,0,0,33.430108,0
-c3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6.852352,0,0,0,0,0,0,0,0,0,0,0,0,0,6.852352,0
-c4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6.852352,0,0,0,0,0,0,0,0,0,0,0,0,0,6.852352,0
-c5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,0
-c6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6.852352,0,0,0,0,0,0,0,0,0,0,0,0,0,6.852352,0
-c7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,0
-c8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.837517,0,0,0,0,0,0,0,13.288878,0,0,0,0,0,0,0,0,6.852352,0,0,0,0,0,0,0,0,29.978747,0
-c9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,0
-c10,0,0,0,0,0,0,26.345144,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,0,0,0,13.288878,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,52.9229,0
-c11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.837517,0,0,0,0,0,0,0,13.288878,0,0,0,0,0,0,0,0,6.852352,0,0,0,0,0,0,0,0,29.978747,0
-c12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,0
-c13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,13.288878,0,0,0,0,0,0,0,6.852352,0,0,0,0,0,0,0,0,0,0,0,0,0,33.430108,0
-c14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6.852352,0,0,0,0,0,0,0,0,0,0,0,0,0,6.852352,0
-c15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6.852352,0,0,0,0,0,0,0,0,0,0,0,0,0,6.852352,0
-c16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,0
-c17,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6.852352,0,0,0,0,0,0,0,0,0,0,0,0,0,6.852352,0
-c18,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,0
-c19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.837517,0,0,0,0,0,0,0,13.288878,0,0,0,0,0,0,0,0,6.852352,0,0,0,0,0,0,0,0,29.978747,0
-c20,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,0
-c21,0,0,0,0,0,0,26.345144,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,0,0,0,13.288878,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,52.9229,0
-c22,0,0,0,0,0,0,26.345144,0,0,0,26.345144,0,0,0,0,0,0,0,0,13.288878,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,65.979166,0
-c23,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,0
-c24,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,13.288878,0,0,0,0,0,0,0,6.852352,0,0,0,0,0,0,0,0,0,0,0,0,0,33.430108,0
-c25,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6.852352,0,0,0,0,0,0,0,0,0,0,0,0,0,6.852352,0
-c26,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6.852352,0,0,0,0,0,0,0,0,0,0,0,0,0,6.852352,0
-c27,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,0
-c28,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6.852352,0,0,0,0,0,0,0,0,0,0,0,0,0,6.852352,0
-c29,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,0
-c30,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.837517,0,0,0,0,0,0,0,13.288878,0,0,0,0,0,0,0,0,6.852352,0,0,0,0,0,0,0,0,29.978747,0
-c31,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,0
-c32,0,0,0,0,0,0,26.345144,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,0,0,0,13.288878,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,52.9229,0
-c33,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c0,0
-
-Memory Time
-Configuration,Conv1,Conv2,Conv3,NML1,NML2,Conv4,Conv5,NML3,NML4,Conv6,Conv7,NML5,NML6,Conv8,Conv9,Conv10,NML7,NML8,Conv11,Conv12,NML9,NML10,Conv13,Conv14,NML11,NML12,Conv15,Conv16,Conv17,NML13,NML14,Conv18,Conv19,NML15,NML16,Conv20,Conv21,NML17,NML18,NML19,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.533916,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.533916,0
-c2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.533916,3.533916,0,0,0,0,0,0,0,2.071773,0,0,0,0,0,0,0,0,0,0,0,0,0,9.139605,0
-c3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.071773,0,0,0,0,0,0,0,0,0,0,0,0,0,2.071773,0
-c4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.071773,0,0,0,0,0,0,0,0,0,0,0,0,0,2.071773,0
-c5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.533916,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.533916,0
-c6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.071773,0,0,0,0,0,0,0,0,0,0,0,0,0,2.071773,0
-c7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.533916,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.533916,0
-c8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.308683,0,0,0,0,0,0,0,3.533916,0,0,0,0,0,0,0,0,2.071773,0,0,0,0,0,0,0,0,7.914372,0
-c9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.533916,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.533916,0
-c10,0,0,0,0,0,0,6.518272,0,0,0,0,0,0,0,0,0,0,0,0,3.533916,0,0,0,3.533916,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.586104,0
-c11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.308683,0,0,0,0,0,0,0,3.533916,0,0,0,0,0,0,0,0,2.071773,0,0,0,0,0,0,0,0,7.914372,0
-c12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.533916,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.533916,0
-c13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.533916,3.533916,0,0,0,0,0,0,0,2.071773,0,0,0,0,0,0,0,0,0,0,0,0,0,9.139605,0
-c14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.071773,0,0,0,0,0,0,0,0,0,0,0,0,0,2.071773,0
-c15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.071773,0,0,0,0,0,0,0,0,0,0,0,0,0,2.071773,0
-c16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.533916,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.533916,0
-c17,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.071773,0,0,0,0,0,0,0,0,0,0,0,0,0,2.071773,0
-c18,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.533916,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.533916,0
-c19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.308683,0,0,0,0,0,0,0,3.533916,0,0,0,0,0,0,0,0,2.071773,0,0,0,0,0,0,0,0,7.914372,0
-c20,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.533916,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.533916,0
-c21,0,0,0,0,0,0,6.518272,0,0,0,0,0,0,0,0,0,0,0,0,3.533916,0,0,0,3.533916,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.586104,0
-c22,0,0,0,0,0,0,6.518272,0,0,0,6.518272,0,0,0,0,0,0,0,0,3.533916,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,16.57046,0
-c23,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.533916,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.533916,0
-c24,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.533916,3.533916,0,0,0,0,0,0,0,2.071773,0,0,0,0,0,0,0,0,0,0,0,0,0,9.139605,0
-c25,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.071773,0,0,0,0,0,0,0,0,0,0,0,0,0,2.071773,0
-c26,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.071773,0,0,0,0,0,0,0,0,0,0,0,0,0,2.071773,0
-c27,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.533916,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.533916,0
-c28,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.071773,0,0,0,0,0,0,0,0,0,0,0,0,0,2.071773,0
-c29,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.533916,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.533916,0
-c30,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.308683,0,0,0,0,0,0,0,3.533916,0,0,0,0,0,0,0,0,2.071773,0,0,0,0,0,0,0,0,7.914372,0
-c31,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.533916,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.533916,0
-c32,0,0,0,0,0,0,6.518272,0,0,0,0,0,0,0,0,0,0,0,0,3.533916,0,0,0,3.533916,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.586104,0
-c33,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c0,0
-
-Patch Energy
-Configuration,Conv1,Conv2,Conv3,NML1,NML2,Conv4,Conv5,NML3,NML4,Conv6,Conv7,NML5,NML6,Conv8,Conv9,Conv10,NML7,NML8,Conv11,Conv12,NML9,NML10,Conv13,Conv14,NML11,NML12,Conv15,Conv16,Conv17,NML13,NML14,Conv18,Conv19,NML15,NML16,Conv20,Conv21,NML17,NML18,NML19,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c17,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c18,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c20,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c21,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c22,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c23,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c24,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c25,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c26,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c27,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c28,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c29,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c30,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c31,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c32,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c33,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c0,0
-
-Quantization Energy
-Configuration,Conv1,Conv2,Conv3,NML1,NML2,Conv4,Conv5,NML3,NML4,Conv6,Conv7,NML5,NML6,Conv8,Conv9,Conv10,NML7,NML8,Conv11,Conv12,NML9,NML10,Conv13,Conv14,NML11,NML12,Conv15,Conv16,Conv17,NML13,NML14,Conv18,Conv19,NML15,NML16,Conv20,Conv21,NML17,NML18,NML19,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c2,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c3,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c4,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c5,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c6,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c7,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c8,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c9,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c10,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c11,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c12,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c13,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c14,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c15,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c16,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c17,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c18,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c19,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c20,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c21,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c22,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c23,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c24,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c25,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c26,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c27,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c28,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c29,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c30,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c31,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c32,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c33,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c0,0
-
-Quantization Time
-Configuration,Conv1,Conv2,Conv3,NML1,NML2,Conv4,Conv5,NML3,NML4,Conv6,Conv7,NML5,NML6,Conv8,Conv9,Conv10,NML7,NML8,Conv11,Conv12,NML9,NML10,Conv13,Conv14,NML11,NML12,Conv15,Conv16,Conv17,NML13,NML14,Conv18,Conv19,NML15,NML16,Conv20,Conv21,NML17,NML18,NML19,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c2,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c3,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c4,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c5,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c6,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c7,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c8,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c9,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c10,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c11,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c12,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c13,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c14,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c15,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c16,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c17,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c18,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c19,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c20,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c21,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
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-c28,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c29,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c30,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c31,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c32,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c33,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c0,0
-
-Time
-Configuration,Conv1,Conv2,Conv3,NML1,NML2,Conv4,Conv5,NML3,NML4,Conv6,Conv7,NML5,NML6,Conv8,Conv9,Conv10,NML7,NML8,Conv11,Conv12,NML9,NML10,Conv13,Conv14,NML11,NML12,Conv15,Conv16,Conv17,NML13,NML14,Conv18,Conv19,NML15,NML16,Conv20,Conv21,NML17,NML18,NML19,FC1,Total,Improvement
-c0,137.165,207.8389,189.6515,31.9722,19.0941,208.4406,198.6494,31.9182,19.1354,259.7649,285.9489,32.0305,19.0951,123.27345,142.4026,83.6932,18.2347,9.39785,151.93707,142.1728,18.074,9.41748,151.49962,142.1021,18.0244,9.40974,77.39211,95.8733,48.1179,14.1964,4.87483,100.88243,95.9383,14.534,4.81198,100.7067,95.9563,14.737,4.81593,7.47447,0.725589,3341.380949,0.999999970072255
-c1,137.165,370.6027,328.4669,25.2021,16.7972,356.8393,359.5265,24.9686,17.3272,399.7504,388.4166,25.4775,16.8139,104.7504,148.08761,99.91022,11.4693,8.57887,157.84032,176.87812,11.2953,8.59732,181.04838,10.338268,11.2352,8.56125,51.58494,74.50821,50.93214,11.2873,4.46626,80.09278,89.0888,11.1843,4.46968,90.82636,89.01816,11.2081,4.48848,5.19545,1.571852,3985.86727,0.838307108296983
-c2,137.165,370.6027,328.4669,25.2021,16.7972,356.8393,359.5265,24.9686,17.3272,399.7504,388.4166,25.4775,16.8139,104.7504,148.08761,99.91022,11.4693,8.57887,10.338268,10.338268,11.2953,8.59732,181.04838,175.99631,11.2352,8.56125,51.58494,7.838173,50.93214,11.2873,4.46626,80.09278,89.0888,11.1843,4.46968,90.82636,89.01816,11.2081,4.48848,5.19545,1.571852,3770.813371,0.886116742368029
-c3,137.165,370.6027,328.4669,25.2021,16.7972,356.8393,359.5265,24.9686,17.3272,399.7504,388.4166,25.4775,16.8139,104.7504,148.08761,99.91022,11.4693,8.57887,157.84032,176.87812,11.2953,8.59732,181.04838,175.99631,11.2352,8.56125,51.58494,7.838173,50.93214,11.2873,4.46626,80.09278,89.0888,11.1843,4.46968,90.82636,89.01816,11.2081,4.48848,5.19545,1.571852,4084.855275,0.817992472744522
-c4,137.165,370.6027,328.4669,25.2021,16.7972,356.8393,359.5265,24.9686,17.3272,399.7504,388.4166,25.4775,16.8139,104.7504,148.08761,99.91022,11.4693,8.57887,157.84032,176.87812,11.2953,8.59732,181.04838,175.99631,11.2352,8.56125,51.58494,7.838173,50.93214,11.2873,4.46626,80.09278,89.0888,11.1843,4.46968,90.82636,89.01816,11.2081,4.48848,5.19545,1.571852,4084.855275,0.817992472744522
-c5,137.165,370.6027,328.4669,25.2021,16.7972,356.8393,359.5265,24.9686,17.3272,399.7504,388.4166,25.4775,16.8139,104.7504,148.08761,99.91022,11.4693,8.57887,157.84032,176.87812,11.2953,8.59732,181.04838,10.338268,11.2352,8.56125,51.58494,74.50821,50.93214,11.2873,4.46626,80.09278,89.0888,11.1843,4.46968,90.82636,89.01816,11.2081,4.48848,5.19545,1.571852,3985.86727,0.838307108296983
-c6,137.165,370.6027,328.4669,25.2021,16.7972,356.8393,359.5265,24.9686,17.3272,399.7504,388.4166,25.4775,16.8139,104.7504,148.08761,99.91022,11.4693,8.57887,157.84032,176.87812,11.2953,8.59732,181.04838,175.99631,11.2352,8.56125,51.58494,7.838173,50.93214,11.2873,4.46626,80.09278,89.0888,11.1843,4.46968,90.82636,89.01816,11.2081,4.48848,5.19545,1.571852,4084.855275,0.817992472744522
-c7,137.165,370.6027,328.4669,25.2021,16.7972,356.8393,359.5265,24.9686,17.3272,399.7504,388.4166,25.4775,16.8139,104.7504,148.08761,99.91022,11.4693,8.57887,157.84032,176.87812,11.2953,8.59732,181.04838,10.338268,11.2352,8.56125,51.58494,74.50821,50.93214,11.2873,4.46626,80.09278,89.0888,11.1843,4.46968,90.82636,89.01816,11.2081,4.48848,5.19545,1.571852,3985.86727,0.838307108296983
-c8,137.165,370.6027,328.4669,25.2021,16.7972,356.8393,359.5265,24.9686,17.3272,399.7504,388.4166,25.4775,16.8139,104.7504,148.08761,4.615243,11.4693,8.57887,157.84032,176.87812,11.2953,8.59732,181.04838,10.338268,11.2352,8.56125,51.58494,74.50821,50.93214,11.2873,4.46626,80.09278,7.838173,11.1843,4.46968,90.82636,89.01816,11.2081,4.48848,5.19545,1.571852,3809.321666,0.877159020491103
-c9,137.165,370.6027,328.4669,25.2021,16.7972,356.8393,359.5265,24.9686,17.3272,399.7504,388.4166,25.4775,16.8139,104.7504,148.08761,99.91022,11.4693,8.57887,157.84032,176.87812,11.2953,8.59732,181.04838,10.338268,11.2352,8.56125,51.58494,74.50821,50.93214,11.2873,4.46626,80.09278,89.0888,11.1843,4.46968,90.82636,89.01816,11.2081,4.48848,5.19545,1.571852,3985.86727,0.838307108296983
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-c12,137.165,370.6027,328.4669,25.2021,16.7972,356.8393,359.5265,24.9686,17.3272,399.7504,388.4166,25.4775,16.8139,104.7504,148.08761,99.91022,11.4693,8.57887,157.84032,176.87812,11.2953,8.59732,181.04838,10.338268,11.2352,8.56125,51.58494,74.50821,50.93214,11.2873,4.46626,80.09278,89.0888,11.1843,4.46968,90.82636,89.01816,11.2081,4.48848,5.19545,1.571852,3985.86727,0.838307108296983
-c13,137.165,370.6027,328.4669,25.2021,16.7972,356.8393,359.5265,24.9686,17.3272,399.7504,388.4166,25.4775,16.8139,104.7504,148.08761,99.91022,11.4693,8.57887,10.338268,10.338268,11.2953,8.59732,181.04838,175.99631,11.2352,8.56125,51.58494,7.838173,50.93214,11.2873,4.46626,80.09278,89.0888,11.1843,4.46968,90.82636,89.01816,11.2081,4.48848,5.19545,1.571852,3770.813371,0.886116742368029
-c14,137.165,370.6027,328.4669,25.2021,16.7972,356.8393,359.5265,24.9686,17.3272,399.7504,388.4166,25.4775,16.8139,104.7504,148.08761,99.91022,11.4693,8.57887,157.84032,176.87812,11.2953,8.59732,181.04838,175.99631,11.2352,8.56125,51.58494,7.838173,50.93214,11.2873,4.46626,80.09278,89.0888,11.1843,4.46968,90.82636,89.01816,11.2081,4.48848,5.19545,1.571852,4084.855275,0.817992472744522
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diff --git a/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_results2.csv b/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_results2.csv
deleted file mode 100644
index abf09ee84725703f377f9ee103c0c119469018aa..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_results2.csv
+++ /dev/null
@@ -1,550 +0,0 @@
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-c27,12056.745877
-
-Compute Time
-Configuration,Conv1,Conv2,Conv3,NML1,NML2,Conv4,Conv5,NML3,NML4,Conv6,Conv7,NML5,NML6,Conv8,Conv9,Conv10,NML7,NML8,Conv11,Conv12,NML9,NML10,Conv13,Conv14,NML11,NML12,Conv15,Conv16,Conv17,NML13,NML14,Conv18,Conv19,NML15,NML16,Conv20,Conv21,NML17,NML18,NML19,FC1,Total,Improvement
-c0,137.165,207.8389,189.6515,31.9722,19.0941,208.4406,198.6494,31.9182,19.1354,259.7649,285.9489,32.0305,19.0951,123.27345,142.4026,83.6932,18.2347,9.39785,151.93707,142.1728,18.074,9.41748,151.49962,142.1021,18.0244,9.40974,77.39211,95.8733,48.1179,14.1964,4.87483,100.88243,95.9383,14.534,4.81198,100.7067,95.9563,14.737,4.81593,7.47447,0.725589,3341.380949,0.999999970072255
-c1,137.165,342.9757,328.4669,25.2021,16.7972,356.8393,9.024416,24.9686,17.3272,399.7504,388.4166,25.4775,16.8139,104.7504,148.08761,2.306560,11.4693,8.57887,157.84032,176.87812,11.2953,8.59732,181.04838,6.804352,11.2352,8.56125,51.58494,74.50821,50.93214,11.2873,4.46626,80.09278,5.766400,11.1843,4.46968,90.82636,89.01816,11.2081,4.48848,5.19545,1.571852,3423.27821,0.976076335727433
-c2,137.165,342.9757,328.4669,25.2021,16.7972,356.8393,9.024416,24.9686,17.3272,399.7504,388.4166,25.4775,16.8139,104.7504,148.08761,2.306560,11.4693,8.57887,157.84032,176.87812,11.2953,8.59732,181.04838,6.804352,11.2352,8.56125,51.58494,74.50821,50.93214,11.2873,4.46626,80.09278,5.766400,11.1843,4.46968,90.82636,89.01816,11.2081,4.48848,5.19545,1.571852,3423.27821,0.976076335727433
-c3,137.165,342.9757,328.4669,25.2021,16.7972,356.8393,359.5265,24.9686,17.3272,399.7504,388.4166,25.4775,16.8139,104.7504,148.08761,2.306560,11.4693,8.57887,157.84032,176.87812,11.2953,8.59732,181.04838,175.99631,11.2352,8.56125,51.58494,74.50821,50.93214,11.2873,4.46626,80.09278,89.0888,11.1843,4.46968,90.82636,89.01816,11.2081,4.48848,5.19545,1.571852,4026.294652,0.829889800626301
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-c5,137.165,342.9757,328.4669,25.2021,16.7972,356.8393,9.024416,24.9686,17.3272,399.7504,388.4166,25.4775,16.8139,104.7504,6.804352,99.91022,11.4693,8.57887,157.84032,176.87812,11.2953,8.59732,181.04838,6.804352,11.2352,8.56125,51.58494,74.50821,1.153280,11.2873,4.46626,80.09278,5.766400,11.1843,4.46968,90.82636,89.01816,11.2081,4.48848,5.19545,1.571852,3329.819752,1.00347198873028
-c6,137.165,342.9757,328.4669,25.2021,16.7972,356.8393,9.024416,24.9686,17.3272,399.7504,388.4166,25.4775,16.8139,104.7504,148.08761,99.91022,11.4693,8.57887,157.84032,6.804352,11.2953,8.59732,181.04838,6.804352,11.2352,8.56125,51.58494,74.50821,50.93214,11.2873,4.46626,80.09278,5.766400,11.1843,4.46968,90.82636,5.766400,11.2081,4.48848,5.19545,1.571852,3267.556342,1.02259318494123
-c7,137.165,342.9757,9.024416,25.2021,16.7972,356.8393,359.5265,24.9686,17.3272,399.7504,388.4166,25.4775,16.8139,104.7504,148.08761,99.91022,11.4693,8.57887,157.84032,176.87812,11.2953,8.59732,181.04838,6.804352,11.2352,8.56125,51.58494,74.50821,50.93214,11.2873,4.46626,80.09278,89.0888,11.1843,4.46968,90.82636,89.01816,11.2081,4.48848,5.19545,1.571852,3635.26387,0.91915772185314
-c8,137.165,342.9757,328.4669,25.2021,16.7972,356.8393,359.5265,24.9686,17.3272,399.7504,9.024416,25.4775,16.8139,104.7504,148.08761,99.91022,11.4693,8.57887,6.804352,6.804352,11.2953,8.59732,181.04838,175.99631,11.2352,8.56125,3.459840,74.50821,50.93214,11.2873,4.46626,80.09278,89.0888,11.1843,4.46968,90.82636,89.01816,11.2081,4.48848,5.19545,1.571852,3375.271292,0.989959194664961
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-c12,137.165,342.9757,9.024416,25.2021,16.7972,356.8393,359.5265,24.9686,17.3272,399.7504,388.4166,25.4775,16.8139,104.7504,148.08761,99.91022,11.4693,8.57887,157.84032,176.87812,11.2953,8.59732,181.04838,6.804352,11.2352,8.56125,51.58494,5.766400,50.93214,11.2873,4.46626,80.09278,89.0888,11.1843,4.46968,90.82636,89.01816,11.2081,4.48848,5.19545,1.571852,3566.52206,0.936873738364772
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-c27,2966.434488
-
-Energy
-Configuration,Conv1,Conv2,Conv3,NML1,NML2,Conv4,Conv5,NML3,NML4,Conv6,Conv7,NML5,NML6,Conv8,Conv9,Conv10,NML7,NML8,Conv11,Conv12,NML9,NML10,Conv13,Conv14,NML11,NML12,Conv15,Conv16,Conv17,NML13,NML14,Conv18,Conv19,NML15,NML16,Conv20,Conv21,NML17,NML18,NML19,FC1,Total,Improvement
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-c44,367.1935,1240.8474,67.644319,109.339,74.5864,1558.1515,1543.1258,108.541,77.2477,1693.1477,1601.9877,107.72,72.987,452.0318,648.5595,422.944,49.588,38.5238,668.3418,737.6456,49.8165,38.8844,763.2659,42.156294,49.6507,39.5474,226.8183,29.560412,221.6533,49.7509,21.8376,347.1207,382.2379,50.4854,21.963,393.9254,382.9785,50.3589,22.1017,23.3959,6.45743,14854.120055,1.02445260681951
-c45,367.1935,1240.8474,1316.8065,109.339,74.5864,1558.1515,67.644319,108.541,77.2477,1693.1477,1601.9877,107.72,72.987,452.0318,648.5595,21.193653,49.588,38.5238,668.3418,737.6456,49.8165,38.8844,763.2659,735.4767,49.6507,39.5474,18.903715,326.6018,221.6533,49.7509,21.8376,347.1207,382.2379,50.4854,21.963,393.9254,382.9785,50.3589,22.1017,23.3959,6.45743,15008.497617,1.01391507676104
-c27,12313.802168
-
-Leakage Energy
-Configuration,Conv1,Conv2,Conv3,NML1,NML2,Conv4,Conv5,NML3,NML4,Conv6,Conv7,NML5,NML6,Conv8,Conv9,Conv10,NML7,NML8,Conv11,Conv12,NML9,NML10,Conv13,Conv14,NML11,NML12,Conv15,Conv16,Conv17,NML13,NML14,Conv18,Conv19,NML15,NML16,Conv20,Conv21,NML17,NML18,NML19,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,23.842121,0,0,0,0,0,0,0,0,6.991873,0,0,0,0,0,0,0,15.774626,0,0,0,0,0,0,0,0,11.797401,0,0,0,0,0,0,0,0,58.406021,0
-c2,0,0,0,0,0,0,23.842121,0,0,0,0,0,0,0,0,6.991873,0,0,0,0,0,0,0,15.774626,0,0,0,0,0,0,0,0,11.797401,0,0,0,0,0,0,0,0,58.406021,0
-c3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6.991873,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6.991873,0
-c4,0,0,0,0,0,0,23.842121,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,15.774626,0,0,0,0,0,0,0,0,11.797401,0,0,0,0,0,0,0,0,67.188774,0
-c5,0,0,0,0,0,0,23.842121,0,0,0,0,0,0,0,15.774626,0,0,0,0,0,0,0,0,15.774626,0,0,0,0,3.468407,0,0,0,11.797401,0,0,0,0,0,0,0,0,70.657181,0
-c6,0,0,0,0,0,0,23.842121,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,0,0,0,15.774626,0,0,0,0,0,0,0,0,11.797401,0,0,0,11.797401,0,0,0,0,78.986175,0
-c7,0,0,23.842121,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,39.616747,0
-c8,0,0,0,0,0,0,0,0,0,0,23.842121,0,0,0,0,0,0,0,15.774626,15.774626,0,0,0,0,0,0,7.351726,0,0,0,0,0,0,0,0,0,0,0,0,0,0,62.743099,0
-c9,0,0,0,0,0,0,0,0,0,0,23.842121,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,11.797401,0,0,0,0,35.639522,0
-c10,0,0,23.842121,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,0,0,0,15.774626,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,55.391373,0
-c11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6.991873,0,0,0,0,0,0,0,15.774626,0,0,0,0,3.468407,0,0,0,11.797401,0,0,0,0,0,0,0,0,38.032307,0
-c12,0,0,23.842121,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,0,0,0,11.797401,0,0,0,0,0,0,0,0,0,0,0,0,0,51.414148,0
-c13,0,0,0,0,0,0,23.842121,0,0,0,0,0,0,0,0,6.991873,0,0,0,0,0,0,0,0,0,0,7.351726,0,0,0,0,0,0,0,0,0,0,0,0,0,0,38.18572,0
-c14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6.991873,0,0,0,0,0,0,15.774626,0,0,0,0,0,0,0,0,0,11.797401,0,0,0,0,0,0,0,0,34.5639,0
-c15,0,0,0,0,0,0,23.842121,0,0,0,0,0,0,0,0,6.991873,0,0,0,0,0,0,0,15.774626,0,0,0,0,0,0,0,0,11.797401,0,0,0,0,0,0,0,0,58.406021,0
-c16,0,0,0,0,0,0,23.842121,0,0,0,0,0,0,0,0,6.991873,0,0,0,0,0,0,0,15.774626,0,0,0,0,0,0,0,0,11.797401,0,0,0,0,0,0,0,0,58.406021,0
-c17,0,0,0,0,0,0,23.842121,0,0,0,0,0,0,0,0,6.991873,0,0,0,0,0,0,0,15.774626,0,0,0,0,0,0,0,0,11.797401,0,0,0,0,0,0,0,0,58.406021,0
-c18,0,0,0,0,0,0,23.842121,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,15.774626,0,0,0,0,0,0,0,0,11.797401,0,0,0,0,0,0,0,0,67.188774,0
-c19,0,0,0,0,0,0,0,0,0,0,23.842121,0,0,0,0,0,0,0,15.774626,15.774626,0,0,0,0,0,0,7.351726,0,0,0,0,0,0,0,0,0,0,0,0,0,0,62.743099,0
-c20,0,0,0,0,0,0,23.842121,0,0,0,0,0,0,0,0,6.991873,0,0,0,0,0,0,0,0,0,0,7.351726,0,0,0,0,0,0,0,0,0,0,0,0,0,0,38.18572,0
-c21,0,0,0,0,0,0,23.842121,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,0,0,0,15.774626,0,0,0,0,0,0,0,0,11.797401,0,0,0,11.797401,0,0,0,0,78.986175,0
-c22,0,0,0,0,0,0,0,0,0,0,23.842121,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,11.797401,0,0,0,0,35.639522,0
-c23,0,0,23.842121,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,0,0,0,15.774626,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,55.391373,0
-c24,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6.991873,0,0,0,0,0,0,0,15.774626,0,0,0,0,3.468407,0,0,0,11.797401,0,0,0,0,0,0,0,0,38.032307,0
-c25,0,0,23.842121,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,0,0,0,11.797401,0,0,0,0,0,0,0,0,0,0,0,0,0,51.414148,0
-c26,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6.991873,0,0,0,0,0,0,15.774626,0,0,0,0,0,0,0,0,0,11.797401,0,0,0,0,0,0,0,0,34.5639,0
-c27,0,0,0,0,0,0,23.842121,0,0,0,23.842121,0,0,0,0,0,0,0,0,15.774626,0,0,15.774626,0,0,0,0,0,0,0,0,0,0,0,0,0,11.797401,0,0,0,0,91.030895,0
-c28,0,0,0,0,0,0,23.842121,0,0,0,0,0,0,0,15.774626,0,0,0,0,0,0,0,0,15.774626,0,0,0,0,3.468407,0,0,0,11.797401,0,0,0,0,0,0,0,0,70.657181,0
-c29,0,0,23.842121,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,39.616747,0
-c30,0,0,0,0,0,0,23.842121,0,0,0,0,0,0,0,0,6.991873,0,0,0,0,0,0,0,15.774626,0,0,0,0,0,0,0,0,11.797401,0,0,0,0,0,0,0,0,58.406021,0
-c31,0,0,0,0,0,0,23.842121,0,0,0,0,0,0,0,0,6.991873,0,0,0,0,0,0,0,15.774626,0,0,0,0,0,0,0,0,11.797401,0,0,0,0,0,0,0,0,58.406021,0
-c32,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6.991873,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6.991873,0
-c33,0,0,0,0,0,0,23.842121,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,15.774626,0,0,0,0,0,0,0,0,11.797401,0,0,0,0,0,0,0,0,67.188774,0
-c34,0,0,0,0,0,0,23.842121,0,0,0,0,0,0,0,0,6.991873,0,0,0,0,0,0,0,15.774626,0,0,0,0,0,0,0,0,11.797401,0,0,0,0,0,0,0,0,58.406021,0
-c35,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6.991873,0,0,0,0,0,0,15.774626,0,0,0,0,0,0,0,0,0,11.797401,0,0,0,0,0,0,0,0,34.5639,0
-c36,0,0,0,0,0,0,23.842121,0,0,0,0,0,0,0,0,6.991873,0,0,0,0,0,0,0,15.774626,0,0,0,0,0,0,0,0,11.797401,0,0,0,0,0,0,0,0,58.406021,0
-c37,0,0,23.842121,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,39.616747,0
-c38,0,0,0,0,0,0,23.842121,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,0,0,0,15.774626,0,0,0,0,0,0,0,0,11.797401,0,0,0,11.797401,0,0,0,0,78.986175,0
-c39,0,0,0,0,0,0,23.842121,0,0,0,0,0,0,0,15.774626,0,0,0,0,0,0,0,0,15.774626,0,0,0,0,3.468407,0,0,0,11.797401,0,0,0,0,0,0,0,0,70.657181,0
-c40,0,0,0,0,0,0,0,0,0,0,23.842121,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,11.797401,0,0,0,0,35.639522,0
-c41,0,0,23.842121,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,0,0,0,15.774626,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,55.391373,0
-c42,0,0,0,0,0,0,0,0,0,0,23.842121,0,0,0,0,0,0,0,15.774626,15.774626,0,0,0,0,0,0,7.351726,0,0,0,0,0,0,0,0,0,0,0,0,0,0,62.743099,0
-c43,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6.991873,0,0,0,0,0,0,0,15.774626,0,0,0,0,3.468407,0,0,0,11.797401,0,0,0,0,0,0,0,0,38.032307,0
-c44,0,0,23.842121,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.774626,0,0,0,11.797401,0,0,0,0,0,0,0,0,0,0,0,0,0,51.414148,0
-c45,0,0,0,0,0,0,23.842121,0,0,0,0,0,0,0,0,6.991873,0,0,0,0,0,0,0,0,0,0,7.351726,0,0,0,0,0,0,0,0,0,0,0,0,0,0,38.18572,0
-c0,0
-
-Memory Energy
-Configuration,Conv1,Conv2,Conv3,NML1,NML2,Conv4,Conv5,NML3,NML4,Conv6,Conv7,NML5,NML6,Conv8,Conv9,Conv10,NML7,NML8,Conv11,Conv12,NML9,NML10,Conv13,Conv14,NML11,NML12,Conv15,Conv16,Conv17,NML13,NML14,Conv18,Conv19,NML15,NML16,Conv20,Conv21,NML17,NML18,NML19,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,26.345144,0,0,0,0,0,0,0,0,9.837517,0,0,0,0,0,0,0,13.288878,0,0,0,0,0,0,0,0,6.852352,0,0,0,0,0,0,0,0,56.323891,0
-c2,0,0,0,0,0,0,26.345144,0,0,0,0,0,0,0,0,9.837517,0,0,0,0,0,0,0,13.288878,0,0,0,0,0,0,0,0,6.852352,0,0,0,0,0,0,0,0,56.323891,0
-c3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.837517,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.837517,0
-c4,0,0,0,0,0,0,26.345144,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,13.288878,0,0,0,0,0,0,0,0,6.852352,0,0,0,0,0,0,0,0,59.775252,0
-c5,0,0,0,0,0,0,26.345144,0,0,0,0,0,0,0,13.288878,0,0,0,0,0,0,0,0,13.288878,0,0,0,0,4.920397,0,0,0,6.852352,0,0,0,0,0,0,0,0,64.695649,0
-c6,0,0,0,0,0,0,26.345144,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,0,0,0,13.288878,0,0,0,0,0,0,0,0,6.852352,0,0,0,6.852352,0,0,0,0,66.627604,0
-c7,0,0,26.345144,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,39.634022,0
-c8,0,0,0,0,0,0,0,0,0,0,26.345144,0,0,0,0,0,0,0,13.288878,13.288878,0,0,0,0,0,0,5.005594,0,0,0,0,0,0,0,0,0,0,0,0,0,0,57.928494,0
-c9,0,0,0,0,0,0,0,0,0,0,26.345144,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6.852352,0,0,0,0,33.197496,0
-c10,0,0,26.345144,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,0,0,0,13.288878,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,52.9229,0
-c11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.837517,0,0,0,0,0,0,0,13.288878,0,0,0,0,4.920397,0,0,0,6.852352,0,0,0,0,0,0,0,0,34.899144,0
-c12,0,0,26.345144,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.288878,0,0,0,6.852352,0,0,0,0,0,0,0,0,0,0,0,0,0,46.486374,0
-c13,0,0,0,0,0,0,26.345144,0,0,0,0,0,0,0,0,9.837517,0,0,0,0,0,0,0,0,0,0,5.005594,0,0,0,0,0,0,0,0,0,0,0,0,0,0,41.188255,0
-c14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.837517,0,0,0,0,0,0,13.288878,0,0,0,0,0,0,0,0,0,6.852352,0,0,0,0,0,0,0,0,29.978747,0
-c15,0,0,0,0,0,0,26.345144,0,0,0,0,0,0,0,0,9.837517,0,0,0,0,0,0,0,13.288878,0,0,0,0,0,0,0,0,6.852352,0,0,0,0,0,0,0,0,56.323891,0
-c16,0,0,0,0,0,0,26.345144,0,0,0,0,0,0,0,0,9.837517,0,0,0,0,0,0,0,13.288878,0,0,0,0,0,0,0,0,6.852352,0,0,0,0,0,0,0,0,56.323891,0
-c17,0,0,0,0,0,0,26.345144,0,0,0,0,0,0,0,0,9.837517,0,0,0,0,0,0,0,13.288878,0,0,0,0,0,0,0,0,6.852352,0,0,0,0,0,0,0,0,56.323891,0
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-Memory Time
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-c44,0,0,6.518272,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.533916,0,0,0,2.071773,0,0,0,0,0,0,0,0,0,0,0,0,0,12.123961,0
-c45,0,0,0,0,0,0,6.518272,0,0,0,0,0,0,0,0,2.308683,0,0,0,0,0,0,0,0,0,0,1.429432,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10.256387,0
-c0,0
-
-Patch Energy
-Configuration,Conv1,Conv2,Conv3,NML1,NML2,Conv4,Conv5,NML3,NML4,Conv6,Conv7,NML5,NML6,Conv8,Conv9,Conv10,NML7,NML8,Conv11,Conv12,NML9,NML10,Conv13,Conv14,NML11,NML12,Conv15,Conv16,Conv17,NML13,NML14,Conv18,Conv19,NML15,NML16,Conv20,Conv21,NML17,NML18,NML19,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
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-c11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
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-c13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
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-c31,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c32,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c33,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
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-c35,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
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-c37,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
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-c39,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c40,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c41,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c42,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c43,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c44,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
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-c0,0
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-Quantization Energy
-Configuration,Conv1,Conv2,Conv3,NML1,NML2,Conv4,Conv5,NML3,NML4,Conv6,Conv7,NML5,NML6,Conv8,Conv9,Conv10,NML7,NML8,Conv11,Conv12,NML9,NML10,Conv13,Conv14,NML11,NML12,Conv15,Conv16,Conv17,NML13,NML14,Conv18,Conv19,NML15,NML16,Conv20,Conv21,NML17,NML18,NML19,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
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-c3,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c4,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c5,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c6,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
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-c9,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
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-c11,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c12,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c13,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
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-c17,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c18,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
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-c31,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c32,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c33,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c34,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c35,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c36,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c37,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c38,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c39,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c40,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c41,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c42,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c43,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c44,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c45,0,79.905,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,79.905,0
-c0,0
-
-Quantization Time
-Configuration,Conv1,Conv2,Conv3,NML1,NML2,Conv4,Conv5,NML3,NML4,Conv6,Conv7,NML5,NML6,Conv8,Conv9,Conv10,NML7,NML8,Conv11,Conv12,NML9,NML10,Conv13,Conv14,NML11,NML12,Conv15,Conv16,Conv17,NML13,NML14,Conv18,Conv19,NML15,NML16,Conv20,Conv21,NML17,NML18,NML19,FC1,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c2,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c3,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c4,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c5,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c6,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c7,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c8,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c9,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c10,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c11,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c12,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c13,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c14,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c15,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c16,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c17,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c18,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c19,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c20,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c21,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c22,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c23,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c24,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c25,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c26,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c27,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c28,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c29,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c30,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c31,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c32,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c33,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c34,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c35,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c36,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c37,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c38,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c39,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c40,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c41,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c42,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c43,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c44,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c45,0,27.627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.627,0
-c0,0
-
-Time
-Configuration,Conv1,Conv2,Conv3,NML1,NML2,Conv4,Conv5,NML3,NML4,Conv6,Conv7,NML5,NML6,Conv8,Conv9,Conv10,NML7,NML8,Conv11,Conv12,NML9,NML10,Conv13,Conv14,NML11,NML12,Conv15,Conv16,Conv17,NML13,NML14,Conv18,Conv19,NML15,NML16,Conv20,Conv21,NML17,NML18,NML19,FC1,Total,Improvement
-c0,137.165,207.8389,189.6515,31.9722,19.0941,208.4406,198.6494,31.9182,19.1354,259.7649,285.9489,32.0305,19.0951,123.27345,142.4026,83.6932,18.2347,9.39785,151.93707,142.1728,18.074,9.41748,151.49962,142.1021,18.0244,9.40974,77.39211,95.8733,48.1179,14.1964,4.87483,100.88243,95.9383,14.534,4.81198,100.7067,95.9563,14.737,4.81593,7.47447,0.725589,3341.380949,0.999999970072255
-c1,137.165,370.6027,328.4669,25.2021,16.7972,356.8393,15.542688,24.9686,17.3272,399.7504,388.4166,25.4775,16.8139,104.7504,148.08761,4.615243,11.4693,8.57887,157.84032,176.87812,11.2953,8.59732,181.04838,10.338268,11.2352,8.56125,51.58494,74.50821,50.93214,11.2873,4.46626,80.09278,7.838173,11.1843,4.46968,90.82636,89.01816,11.2081,4.48848,5.19545,1.571852,3465.337854,0.96422946141316
-c2,137.165,370.6027,328.4669,25.2021,16.7972,356.8393,15.542688,24.9686,17.3272,399.7504,388.4166,25.4775,16.8139,104.7504,148.08761,4.615243,11.4693,8.57887,157.84032,176.87812,11.2953,8.59732,181.04838,10.338268,11.2352,8.56125,51.58494,74.50821,50.93214,11.2873,4.46626,80.09278,7.838173,11.1843,4.46968,90.82636,89.01816,11.2081,4.48848,5.19545,1.571852,3465.337854,0.96422946141316
-c3,137.165,370.6027,328.4669,25.2021,16.7972,356.8393,359.5265,24.9686,17.3272,399.7504,388.4166,25.4775,16.8139,104.7504,148.08761,4.615243,11.4693,8.57887,157.84032,176.87812,11.2953,8.59732,181.04838,175.99631,11.2352,8.56125,51.58494,74.50821,50.93214,11.2873,4.46626,80.09278,89.0888,11.1843,4.46968,90.82636,89.01816,11.2081,4.48848,5.19545,1.571852,4056.230335,0.823765070191334
-c4,137.165,370.6027,328.4669,25.2021,16.7972,356.8393,15.542688,24.9686,17.3272,399.7504,388.4166,25.4775,16.8139,104.7504,148.08761,99.91022,11.4693,8.57887,157.84032,176.87812,11.2953,8.59732,10.338268,10.338268,11.2352,8.56125,51.58494,74.50821,50.93214,11.2873,4.46626,80.09278,7.838173,11.1843,4.46968,90.82636,89.01816,11.2081,4.48848,5.19545,1.571852,3389.922719,0.985680538291925
-c5,137.165,370.6027,328.4669,25.2021,16.7972,356.8393,15.542688,24.9686,17.3272,399.7504,388.4166,25.4775,16.8139,104.7504,10.338268,99.91022,11.4693,8.57887,157.84032,176.87812,11.2953,8.59732,181.04838,10.338268,11.2352,8.56125,51.58494,74.50821,2.306963,11.2873,4.46626,80.09278,7.838173,11.1843,4.46968,90.82636,89.01816,11.2081,4.48848,5.19545,1.571852,3374.258312,0.990256388519896
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-c41,137.165,370.6027,15.542688,25.2021,16.7972,356.8393,359.5265,24.9686,17.3272,399.7504,388.4166,25.4775,16.8139,104.7504,148.08761,99.91022,11.4693,8.57887,157.84032,10.338268,11.2953,8.59732,181.04838,10.338268,11.2352,8.56125,51.58494,74.50821,50.93214,11.2873,4.46626,80.09278,89.0888,11.1843,4.46968,90.82636,89.01816,11.2081,4.48848,5.19545,1.571852,3506.403206,0.952936857914313
-c42,137.165,370.6027,328.4669,25.2021,16.7972,356.8393,359.5265,24.9686,17.3272,399.7504,15.542688,25.4775,16.8139,104.7504,148.08761,99.91022,11.4693,8.57887,10.338268,10.338268,11.2953,8.59732,181.04838,175.99631,11.2352,8.56125,4.889272,74.50821,50.93214,11.2873,4.46626,80.09278,89.0888,11.1843,4.46968,90.82636,89.01816,11.2081,4.48848,5.19545,1.571852,3417.913828,0.977608277852455
-c43,137.165,370.6027,328.4669,25.2021,16.7972,356.8393,359.5265,24.9686,17.3272,399.7504,388.4166,25.4775,16.8139,104.7504,148.08761,4.615243,11.4693,8.57887,157.84032,176.87812,11.2953,8.59732,181.04838,10.338268,11.2352,8.56125,51.58494,74.50821,2.306963,11.2873,4.46626,80.09278,7.838173,11.1843,4.46968,90.82636,89.01816,11.2081,4.48848,5.19545,1.571852,3760.696489,0.888500539706794
-c44,137.165,370.6027,15.542688,25.2021,16.7972,356.8393,359.5265,24.9686,17.3272,399.7504,388.4166,25.4775,16.8139,104.7504,148.08761,99.91022,11.4693,8.57887,157.84032,176.87812,11.2953,8.59732,181.04838,10.338268,11.2352,8.56125,51.58494,7.838173,50.93214,11.2873,4.46626,80.09278,89.0888,11.1843,4.46968,90.82636,89.01816,11.2081,4.48848,5.19545,1.571852,3606.273021,0.926546835718714
-c45,137.165,370.6027,328.4669,25.2021,16.7972,356.8393,15.542688,24.9686,17.3272,399.7504,388.4166,25.4775,16.8139,104.7504,148.08761,4.615243,11.4693,8.57887,157.84032,176.87812,11.2953,8.59732,181.04838,175.99631,11.2352,8.56125,4.889272,74.50821,50.93214,11.2873,4.46626,80.09278,89.0888,11.1843,4.46968,90.82636,89.01816,11.2081,4.48848,5.19545,1.571852,3665.550855,0.911563088337972
-c27,3016.237637
-
-Unpatch Energy
-Configuration,Conv1,Conv2,Conv3,NML1,NML2,Conv4,Conv5,NML3,NML4,Conv6,Conv7,NML5,NML6,Conv8,Conv9,Conv10,NML7,NML8,Conv11,Conv12,NML9,NML10,Conv13,Conv14,NML11,NML12,Conv15,Conv16,Conv17,NML13,NML14,Conv18,Conv19,NML15,NML16,Conv20,Conv21,NML17,NML18,NML19,FC1,Total,Improvement
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-c25,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c26,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
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-c28,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c29,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c30,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c31,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c32,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c33,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c34,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c35,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c36,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c37,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c38,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c39,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c40,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c41,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c42,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c43,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c44,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c45,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c0,0
-
diff --git a/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_tensors.txt b/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_tensors.txt
deleted file mode 100644
index a68f03802ad3eb3236f0eaf1a2dbe4eb524d712a..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/resnet18_cifar10/resnet18_tensors.txt
+++ /dev/null
@@ -1,114 +0,0 @@
-#Conv1,3
-Conv1,96.2953,255.037,174.622,421.265,6.3224,13.0911,20.9136,52.8942
-Add1,21.6934,58.7548,18.4067,51.7458,27.7102,72.282,20.7976,56.1939
-Relu1,19.1763,53.4017,15.7218,47.6272,27.4697,75.5402,20.8432,59.4527
-#Conv2,3
-Conv2,167.13,533.192,307.782,1024.12,27.627,79.905,20.9352,73.9105
-Add2,21.6463,74.901,19.5015,74.6206,27.9959,99.3789,21.8283,78.8418
-Relu2,19.0626,66.8226,15.6922,62.2018,27.4183,99.9831,20.833,77.2117
-#Conv3,2
-Conv3,167.964,647.325,309.083,1232.59,27.8734,103.065,20.9195,84.5406
-Add3,21.6875,87.1673,19.3839,84.2165,27.9995,113.419,21.828,88.7986
-#NML1,1
-Add4,31.9722,131.604,25.2021,109.339,54.8381,227.205,20.8082,85.9608
-#NML2,1
-Relu3,19.0941,78.945,16.7972,74.5864,27.5363,113.932,21.969,91.4346
-#Conv4,3
-Conv4,167.592,744.048,322.719,1401.3,27.8507,115.914,20.9916,91.4069
-Add5,21.6558,98.7438,18.3902,84.3374,52.5577,223.355,21.3908,91.48
-Relu4,19.1928,87.579,15.7301,72.5141,27.4947,117.455,20.8274,89.0752
-#Conv5,2
-Conv5,177.005,835.874,342.079,1466.82,29.7996,126.901,21.0449,89.4069
-Add6,21.6444,102.842,17.4475,76.3058,78.6158,330.238,20.8524,85.6316
-#NML3,1
-Add7,31.9182,154.555,24.9686,108.541,62.7404,259.957,20.8101,86.1797
-#NML4,1
-Relu5,19.1354,92.4142,17.3272,77.2477,30.181,124.467,21.9931,91.2
-#Conv6,3
-Conv6,218.988,1050.1,366.167,1544.8,29.7189,123.016,21.0334,89.908
-Add8,21.6322,107.553,17.6899,77.5743,83.3626,352.496,20.8989,85.9449
-Relu6,19.1447,95.3407,15.8935,70.7734,29.4192,120.534,20.9166,86.1995
-#Conv7,2
-Conv7,264.136,1280.25,370.721,1526.79,28.6144,117.921,20.9627,85.9711
-Add9,21.8129,104.865,17.6956,75.1977,82.8254,337.55,20.8517,82.5853
-#NML5,1
-Add10,32.0305,157.253,25.4775,107.72,60.3765,243.339,20.7649,83.3467
-#NML6,1
-Relu7,19.0951,93.1857,16.8139,72.987,28.3017,113.854,22.041,89.2722
-#Conv8,3
-Conv8,100.507,490.584,85.7697,364.625,28.2226,114.351,10.5944,42.4202
-Add11,13.2849,62.5018,10.3212,47.2214,15.502,62.8822,11.2293,44.7914
-Relu8,9.48155,43.6732,8.6595,40.1854,15.0619,61.1893,10.7582,43.1574
-#Conv9,2
-Conv9,129.091,627.118,138.631,604.548,14.972,60.9,10.6041,44.2087
-Add12,13.3116,62.903,9.45661,44.0115,40.1768,172.415,10.4892,42.8418
-#Conv10,2
-Conv10,70.4671,340.841,90.3128,381.213,32.0547,135.935,10.5675,40.812
-Add13,13.2261,60.7273,9.59742,41.731,41.9408,167.231,10.4872,39.7994
-#NML7,1
-Add14,18.2347,85.0395,11.4693,49.588,27.8587,110.353,10.4665,40.3814
-#NML8,1
-Relu9,9.39785,42.293,8.57887,38.5238,14.4553,55.9886,11.1054,43.0539
-#Conv11,3
-Conv11,129.334,614.475,140.577,589.922,15.1273,59.0802,10.5792,42.4989
-Add15,13.201,61.5741,9.39457,42.3399,40.147,165.995,10.4569,41.0957
-Relu10,9.40207,43.1235,7.86875,36.0799,14.7797,59.1119,10.4938,41.2344
-#Conv12,2
-Conv12,129.068,617.019,167.515,695.778,14.881,59.0727,10.5947,41.783
-Add16,13.1048,61.3472,9.36312,41.8676,40.662,165.398,10.4433,40.5802
-#NML9,1
-Add17,18.074,85.9011,11.2953,49.8165,31.2262,125.787,10.4534,40.67
-#NML10,1
-Relu11,9.41748,43.1252,8.59732,38.8844,14.7683,58.4599,11.0992,43.4074
-#Conv13,3
-Conv13,129.135,621.204,163.856,684.766,14.6929,58.143,10.5613,42.4051
-Add18,13.0014,61.4375,9.33772,41.9974,40.52,167.742,10.4893,41.2948
-Relu12,9.36322,43.724,7.85466,36.5025,14.3058,56.635,10.4801,41.3643
-#Conv14,2
-Conv14,129.174,625.346,166.656,693.932,14.7899,59.1467,10.5466,41.836
-Add19,12.9281,61.0404,9.34031,41.5447,40.5583,165.866,10.4607,40.9009
-#NML11,1
-Add20,18.0244,86.3285,11.2352,49.6507,31.0414,125.831,10.4493,41.12
-#NML12,1
-Relu13,9.40974,43.6635,8.56125,39.5474,14.7184,58.0328,11.0576,43.5721
-#Conv15,3
-Conv15,61.1393,299.396,38.244,164.048,14.5914,58.2375,5.36591,19.9204
-Add21,11.443,53.5959,9.3646,42.9504,8.53298,33.0218,5.65061,21.0508
-Relu14,4.80981,20.8303,3.97634,19.8199,7.82028,30.3544,5.27702,19.5391
-#Conv16,2
-Conv16,84.5931,417.41,65.7442,285.597,8.07266,31.1377,5.37147,20.4791
-Add22,11.2802,53.8629,8.76401,41.0048,20.0626,83.8331,5.28191,19.8187
-#Conv17,2
-Conv17,36.7136,180.084,42.064,181.248,16.9562,69.8631,5.36951,19.8329
-Add23,11.4043,53.4182,8.86814,40.4053,20.3149,81.1815,5.29007,18.9716
-#NML13,1
-Add24,14.1964,67.2674,11.2873,49.7509,14.405,57.1891,5.33388,19.3044
-#NML14,1
-Relu15,4.87483,20.4251,4.46626,21.8376,7.89618,29.6604,5.52563,20.1041
-#Conv18,3
-Conv18,84.6165,415.961,67.3709,286.812,8.03381,30.3417,5.36257,20.0592
-Add25,11.4019,54.4409,8.75476,40.2434,20.1161,82.2092,5.27612,19.5688
-Relu16,4.86403,20.6177,3.96712,20.0653,7.75796,29.607,5.27422,19.6466
-#Conv19,2
-Conv19,84.5493,420.587,80.3214,341.92,8.10378,31.2805,5.41437,20.2452
-Add26,11.389,54.7724,8.7674,40.3179,20.1714,82.6833,5.2755,19.4721
-#NML15,1
-Add27,14.534,71.0934,11.1843,50.4854,17.215,69.9894,5.28841,19.6402
-#NML16,1
-Relu17,4.81198,21.0221,4.46968,21.963,8.1633,31.6672,5.53729,20.6582
-#Conv20,3
-Conv20,84.5033,424.692,78.1278,333.871,8.0013,30.8855,5.3629,19.8115
-Add28,11.3928,55.6158,8.73735,40.0918,20.0577,82.5983,5.33532,19.8316
-Relu18,4.8106,21.1957,3.96121,19.9626,7.75018,29.9637,5.25633,19.6445
-#Conv21,2
-Conv21,84.5829,428.664,80.2786,343.147,8.01787,30.88,5.37001,20.3721
-Add29,11.3734,55.2916,8.73956,39.8315,19.9302,82.4415,5.31975,19.701
-#NML17,1
-Add30,14.737,73.1106,11.2081,50.3589,17.4758,71.5971,5.27643,19.4931
-#NML18,1
-Relu19,4.81593,21.5459,4.48848,22.1017,8.14713,31.7315,5.53758,20.7902
-#NML19,1
-Pool1,7.47447,35.1354,5.19545,23.3959,7.76594,29.7619,0.247834,0.0992326
-#FC1,2
-Mul1,0.500934,0.486919,1.17541,5.23179,0.866649,1.15065,0.182164,0.0453634
-Add31,0.224655,0.0762958,0.396442,1.22564,0.809076,1.36364,0.129454,0.0344863
diff --git a/hpvm/projects/soc_simulator/resnet50_imagenet/construct_ops.py b/hpvm/projects/soc_simulator/resnet50_imagenet/construct_ops.py
deleted file mode 100644
index 3b655f2f5fb7ccb3eb4ac8db2e105cb74d71f986..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/resnet50_imagenet/construct_ops.py
+++ /dev/null
@@ -1,79 +0,0 @@
-
-
-import sys
-
-
-op_map = {}
-op_map["conv"] = "Conv"
-op_map["add"] = "Add"
-op_map["dense"] = "Mul"
-op_map["pool"] = "Pool"
-op_map["relu"] = "Relu"
-op_map["activation"] = "Relu"
-op_map["tanh"] = "Tanh"
-op_map["batchnorm"] = "NML"
-
-
-unique_op_map = {}
-
-
-def getLayerStr(layer_toks):
-
- layer_str = ""
- for tok in layer_toks:
- op_id = 1
- if tok not in unique_op_map:
- op_id = 1
- unique_op_map[tok] = 1
- else:
- op_id = unique_op_map[tok]
- op_id += 1
- unique_op_map[tok] = op_id
-
- layer_str += op_map[tok] + str(op_id) + "\n"
-
- return layer_str
-
-
-
-if __name__ == "__main__":
-
- f_path = sys.argv[1]
- out_path = sys.argv[2]
-
- f = open(f_path)
- f2 = open(out_path, "w+")
-
-
-
- nml_id = 1
- conv_id = 1
- fc_id = 1
-
- for x in f:
- toks = x.split()
-
- layer_len = len(toks)
-
- if layer_len == 1 and "conv" not in toks and "dense" not in toks:
- f2.write("#NML" + str(nml_id) + ",1\n")
- nml_id += 1
- if "conv" in toks:
- f2.write("#Conv" + str(conv_id) + "," + str(layer_len) + "\n")
-
- layer_str = getLayerStr(toks)
- f2.write(layer_str)
- conv_id += 1
-
- if "dense" in toks:
- f2.write("#FC" + str(fc_id) + "," + str(layer_len) + "\n")
-
- layer_str = getLayerStr(toks)
- f2.write(layer_str)
- fc_id += 1
-
-
- f2.close()
-
-
-
diff --git a/hpvm/projects/soc_simulator/resnet50_imagenet/layer_composition.txt b/hpvm/projects/soc_simulator/resnet50_imagenet/layer_composition.txt
deleted file mode 100644
index f0b6ebedc9beccfc639b70433e30b172e2d44fea..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/resnet50_imagenet/layer_composition.txt
+++ /dev/null
@@ -1,172 +0,0 @@
-conv add activation pool
-batchnorm
-conv add
-batchnorm
-activation
-conv add
-batchnorm
-activation
-conv add
-batchnorm
-conv add
-batchnorm
-add
-activation
-conv add
-batchnorm
-activation
-conv add
-batchnorm
-activation
-conv add
-batchnorm
-add
-activation
-conv add
-batchnorm
-activation
-conv add
-batchnorm
-activation
-conv add
-batchnorm
-add
-activation
-conv add
-batchnorm
-activation
-conv add
-batchnorm
-activation
-conv add
-batchnorm
-conv add
-batchnorm
-add
-activation
-conv add
-batchnorm
-activation
-conv add
-batchnorm
-activation
-conv add
-batchnorm
-add
-activation
-conv add
-batchnorm
-activation
-conv add
-batchnorm
-activation
-conv add
-batchnorm
-add
-activation
-conv add
-batchnorm
-activation
-conv add
-batchnorm
-activation
-conv add
-batchnorm
-add
-activation
-conv add
-batchnorm
-activation
-conv add
-batchnorm
-activation
-conv add
-batchnorm
-conv add
-batchnorm
-add
-activation
-conv add
-batchnorm
-activation
-conv add
-batchnorm
-activation
-conv add
-batchnorm
-add
-activation
-conv add
-batchnorm
-activation
-conv add
-batchnorm
-activation
-conv add
-batchnorm
-add
-activation
-conv add
-batchnorm
-activation
-conv add
-batchnorm
-activation
-conv add
-batchnorm
-add
-activation
-conv add
-batchnorm
-activation
-conv add
-batchnorm
-activation
-conv add
-batchnorm
-add
-activation
-conv add
-batchnorm
-activation
-conv add
-batchnorm
-activation
-conv add
-batchnorm
-add
-activation
-conv add
-batchnorm
-activation
-conv add
-batchnorm
-activation
-conv add
-batchnorm
-conv add
-batchnorm
-add
-activation
-conv add
-batchnorm
-activation
-conv add
-batchnorm
-activation
-conv add
-batchnorm
-add
-activation
-conv add
-batchnorm
-activation
-conv add
-batchnorm
-activation
-conv add
-batchnorm
-add
-activation
-pool
-dense add
diff --git a/hpvm/projects/soc_simulator/resnet50_imagenet/layers.txt b/hpvm/projects/soc_simulator/resnet50_imagenet/layers.txt
deleted file mode 100644
index fae2dc1e91044d2ab3128274a11646cd7e8c8697..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/resnet50_imagenet/layers.txt
+++ /dev/null
@@ -1,172 +0,0 @@
-Conv1,6000,3,224,224,64,3,7,7
-#tensorBatchNorm1
-Conv2,6000,64,55,55,64,64,1,1
-#tensorBatchNorm2
-#tensorRelu1
-Conv3,6000,64,55,55,64,64,3,3
-#tensorBatchNorm3
-#tensorRelu2
-Conv4,6000,64,55,55,256,64,1,1
-#tensorBatchNorm4
-Conv5,6000,64,55,55,256,64,1,1
-#tensorBatchNorm5
-#tensorAdd1
-#tensorRelu3
-Conv6,6000,256,55,55,64,256,1,1
-#tensorBatchNorm6
-#tensorRelu4
-Conv7,6000,64,55,55,64,64,3,3
-#tensorBatchNorm7
-#tensorRelu5
-Conv8,6000,64,55,55,256,64,1,1
-#tensorBatchNorm8
-#tensorAdd2
-#tensorRelu6
-Conv9,6000,256,55,55,64,256,1,1
-#tensorBatchNorm9
-#tensorRelu7
-Conv10,6000,64,55,55,64,64,3,3
-#tensorBatchNorm10
-#tensorRelu8
-Conv11,6000,64,55,55,256,64,1,1
-#tensorBatchNorm11
-#tensorAdd3
-#tensorRelu9
-Conv12,6000,256,55,55,128,256,1,1
-#tensorBatchNorm12
-#tensorRelu10
-Conv13,6000,128,28,28,128,128,3,3
-#tensorBatchNorm13
-#tensorRelu11
-Conv14,6000,128,28,28,512,128,1,1
-#tensorBatchNorm14
-Conv15,6000,256,55,55,512,256,1,1
-#tensorBatchNorm15
-#tensorAdd4
-#tensorRelu12
-Conv16,6000,512,28,28,128,512,1,1
-#tensorBatchNorm16
-#tensorRelu13
-Conv17,6000,128,28,28,128,128,3,3
-#tensorBatchNorm17
-#tensorRelu14
-Conv18,6000,128,28,28,512,128,1,1
-#tensorBatchNorm18
-#tensorAdd5
-#tensorRelu15
-Conv19,6000,512,28,28,128,512,1,1
-#tensorBatchNorm19
-#tensorRelu16
-Conv20,6000,128,28,28,128,128,3,3
-#tensorBatchNorm20
-#tensorRelu17
-Conv21,6000,128,28,28,512,128,1,1
-#tensorBatchNorm21
-#tensorAdd6
-#tensorRelu18
-Conv22,6000,512,28,28,128,512,1,1
-#tensorBatchNorm22
-#tensorRelu19
-Conv23,6000,128,28,28,128,128,3,3
-#tensorBatchNorm23
-#tensorRelu20
-Conv24,6000,128,28,28,512,128,1,1
-#tensorBatchNorm24
-#tensorAdd7
-#tensorRelu21
-Conv25,6000,512,28,28,256,512,1,1
-#tensorBatchNorm25
-#tensorRelu22
-Conv26,6000,256,14,14,256,256,3,3
-#tensorBatchNorm26
-#tensorRelu23
-Conv27,6000,256,14,14,1024,256,1,1
-#tensorBatchNorm27
-Conv28,6000,512,28,28,1024,512,1,1
-#tensorBatchNorm28
-#tensorAdd8
-#tensorRelu24
-Conv29,6000,1024,14,14,256,1024,1,1
-#tensorBatchNorm29
-#tensorRelu25
-Conv30,6000,256,14,14,256,256,3,3
-#tensorBatchNorm30
-#tensorRelu26
-Conv31,6000,256,14,14,1024,256,1,1
-#tensorBatchNorm31
-#tensorAdd9
-#tensorRelu27
-Conv32,6000,1024,14,14,256,1024,1,1
-#tensorBatchNorm32
-#tensorRelu28
-Conv33,6000,256,14,14,256,256,3,3
-#tensorBatchNorm33
-#tensorRelu29
-Conv34,6000,256,14,14,1024,256,1,1
-#tensorBatchNorm34
-#tensorAdd10
-#tensorRelu30
-Conv35,6000,1024,14,14,256,1024,1,1
-#tensorBatchNorm35
-#tensorRelu31
-Conv36,6000,256,14,14,256,256,3,3
-#tensorBatchNorm36
-#tensorRelu32
-Conv37,6000,256,14,14,1024,256,1,1
-#tensorBatchNorm37
-#tensorAdd11
-#tensorRelu33
-Conv38,6000,1024,14,14,256,1024,1,1
-#tensorBatchNorm38
-#tensorRelu34
-Conv39,6000,256,14,14,256,256,3,3
-#tensorBatchNorm39
-#tensorRelu35
-Conv40,6000,256,14,14,1024,256,1,1
-#tensorBatchNorm40
-#tensorAdd12
-#tensorRelu36
-Conv41,6000,1024,14,14,256,1024,1,1
-#tensorBatchNorm41
-#tensorRelu37
-Conv42,6000,256,14,14,256,256,3,3
-#tensorBatchNorm42
-#tensorRelu38
-Conv43,6000,256,14,14,1024,256,1,1
-#tensorBatchNorm43
-#tensorAdd13
-#tensorRelu39
-Conv44,6000,1024,14,14,512,1024,1,1
-#tensorBatchNorm44
-#tensorRelu40
-Conv45,6000,512,7,7,512,512,3,3
-#tensorBatchNorm45
-#tensorRelu41
-Conv46,6000,512,7,7,2048,512,1,1
-#tensorBatchNorm46
-Conv47,6000,1024,14,14,2048,1024,1,1
-#tensorBatchNorm47
-#tensorAdd14
-#tensorRelu42
-Conv48,6000,2048,7,7,512,2048,1,1
-#tensorBatchNorm48
-#tensorRelu43
-Conv49,6000,512,7,7,512,512,3,3
-#tensorBatchNorm49
-#tensorRelu44
-Conv50,6000,512,7,7,2048,512,1,1
-#tensorBatchNorm50
-#tensorAdd15
-#tensorRelu45
-Conv51,6000,2048,7,7,512,2048,1,1
-#tensorBatchNorm51
-#tensorRelu46
-Conv52,6000,512,7,7,512,512,3,3
-#tensorBatchNorm52
-#tensorRelu47
-Conv53,6000,512,7,7,2048,512,1,1
-#tensorBatchNorm53
-#tensorAdd16
-#tensorRelu48
-#tensorPooling1
-FC1,6000,2048,2048,1000
diff --git a/hpvm/projects/soc_simulator/resnet50_imagenet/replace_nml.py b/hpvm/projects/soc_simulator/resnet50_imagenet/replace_nml.py
deleted file mode 100644
index 92e58f629b0419d3f2f9d3539507ae4baaf10026..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/resnet50_imagenet/replace_nml.py
+++ /dev/null
@@ -1,27 +0,0 @@
-
-
-
-
-if __name__ == "__main__":
-
- f = open("layers.txt")
- f2 = open("resnet50_imagenet_layers.txt", "w+")
-
-
- nml_id = 1
- for x in f:
- if "#" in x:
- f2.write("NML" + str(nml_id) + "\n")
- nml_id += 1
- elif "Conv" in x:
- x = x.replace("\n", "")
- x = x + ",1,1\n"
- f2.write(x)
- else:
- f2.write(x)
-
-
- f2.close()
-
-
-
diff --git a/hpvm/projects/soc_simulator/resnet50_imagenet/resnet50_imagenet_layers.txt b/hpvm/projects/soc_simulator/resnet50_imagenet/resnet50_imagenet_layers.txt
deleted file mode 100644
index 066c41cf6e62e57556b0cbace0eb61bca2accbc3..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/resnet50_imagenet/resnet50_imagenet_layers.txt
+++ /dev/null
@@ -1,172 +0,0 @@
-Conv1,6000,3,224,224,64,3,7,7,1,1
-NML1
-Conv2,6000,64,55,55,64,64,1,1,1,1
-NML2
-NML3
-Conv3,6000,64,55,55,64,64,3,3,1,1
-NML4
-NML5
-Conv4,6000,64,55,55,256,64,1,1,1,1
-NML6
-Conv5,6000,64,55,55,256,64,1,1,1,1
-NML7
-NML8
-NML9
-Conv6,6000,256,55,55,64,256,1,1,1,1
-NML10
-NML11
-Conv7,6000,64,55,55,64,64,3,3,1,1
-NML12
-NML13
-Conv8,6000,64,55,55,256,64,1,1,1,1
-NML14
-NML15
-NML16
-Conv9,6000,256,55,55,64,256,1,1,1,1
-NML17
-NML18
-Conv10,6000,64,55,55,64,64,3,3,1,1
-NML19
-NML20
-Conv11,6000,64,55,55,256,64,1,1,1,1
-NML21
-NML22
-NML23
-Conv12,6000,256,55,55,128,256,1,1,1,1
-NML24
-NML25
-Conv13,6000,128,28,28,128,128,3,3,1,1
-NML26
-NML27
-Conv14,6000,128,28,28,512,128,1,1,1,1
-NML28
-Conv15,6000,256,55,55,512,256,1,1,1,1
-NML29
-NML30
-NML31
-Conv16,6000,512,28,28,128,512,1,1,1,1
-NML32
-NML33
-Conv17,6000,128,28,28,128,128,3,3,1,1
-NML34
-NML35
-Conv18,6000,128,28,28,512,128,1,1,1,1
-NML36
-NML37
-NML38
-Conv19,6000,512,28,28,128,512,1,1,1,1
-NML39
-NML40
-Conv20,6000,128,28,28,128,128,3,3,1,1
-NML41
-NML42
-Conv21,6000,128,28,28,512,128,1,1,1,1
-NML43
-NML44
-NML45
-Conv22,6000,512,28,28,128,512,1,1,1,1
-NML46
-NML47
-Conv23,6000,128,28,28,128,128,3,3,1,1
-NML48
-NML49
-Conv24,6000,128,28,28,512,128,1,1,1,1
-NML50
-NML51
-NML52
-Conv25,6000,512,28,28,256,512,1,1,1,1
-NML53
-NML54
-Conv26,6000,256,14,14,256,256,3,3,1,1
-NML55
-NML56
-Conv27,6000,256,14,14,1024,256,1,1,1,1
-NML57
-Conv28,6000,512,28,28,1024,512,1,1,1,1
-NML58
-NML59
-NML60
-Conv29,6000,1024,14,14,256,1024,1,1,1,1
-NML61
-NML62
-Conv30,6000,256,14,14,256,256,3,3,1,1
-NML63
-NML64
-Conv31,6000,256,14,14,1024,256,1,1,1,1
-NML65
-NML66
-NML67
-Conv32,6000,1024,14,14,256,1024,1,1,1,1
-NML68
-NML69
-Conv33,6000,256,14,14,256,256,3,3,1,1
-NML70
-NML71
-Conv34,6000,256,14,14,1024,256,1,1,1,1
-NML72
-NML73
-NML74
-Conv35,6000,1024,14,14,256,1024,1,1,1,1
-NML75
-NML76
-Conv36,6000,256,14,14,256,256,3,3,1,1
-NML77
-NML78
-Conv37,6000,256,14,14,1024,256,1,1,1,1
-NML79
-NML80
-NML81
-Conv38,6000,1024,14,14,256,1024,1,1,1,1
-NML82
-NML83
-Conv39,6000,256,14,14,256,256,3,3,1,1
-NML84
-NML85
-Conv40,6000,256,14,14,1024,256,1,1,1,1
-NML86
-NML87
-NML88
-Conv41,6000,1024,14,14,256,1024,1,1,1,1
-NML89
-NML90
-Conv42,6000,256,14,14,256,256,3,3,1,1
-NML91
-NML92
-Conv43,6000,256,14,14,1024,256,1,1,1,1
-NML93
-NML94
-NML95
-Conv44,6000,1024,14,14,512,1024,1,1,1,1
-NML96
-NML97
-Conv45,6000,512,7,7,512,512,3,3,1,1
-NML98
-NML99
-Conv46,6000,512,7,7,2048,512,1,1,1,1
-NML100
-Conv47,6000,1024,14,14,2048,1024,1,1,1,1
-NML101
-NML102
-NML103
-Conv48,6000,2048,7,7,512,2048,1,1,1,1
-NML104
-NML105
-Conv49,6000,512,7,7,512,512,3,3,1,1
-NML106
-NML107
-Conv50,6000,512,7,7,2048,512,1,1,1,1
-NML108
-NML109
-NML110
-Conv51,6000,2048,7,7,512,2048,1,1,1,1
-NML111
-NML112
-Conv52,6000,512,7,7,512,512,3,3,1,1
-NML113
-NML114
-Conv53,6000,512,7,7,2048,512,1,1,1,1
-NML115
-NML116
-NML117
-NML118
-FC1,6000,2048,2048,1000
diff --git a/hpvm/projects/soc_simulator/resnet50_imagenet/resnet50_imagenet_layers.txt2 b/hpvm/projects/soc_simulator/resnet50_imagenet/resnet50_imagenet_layers.txt2
deleted file mode 100644
index 885d81b8901089e995074bb6ba3f7cd3988e9011..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/resnet50_imagenet/resnet50_imagenet_layers.txt2
+++ /dev/null
@@ -1,172 +0,0 @@
-Conv1,6000,3,224,224,64,3,7,7,1,1
-NML1
-Conv2,6000,64,55,55,64,64,1,1,1,1
-NML2
-NML3
-Conv3,6000,64,55,55,64,64,3,3,1,1
-NML4
-NML5
-Conv4,6000,64,55,55,256,64,1,1,1,1
-NML6
-Conv5,6000,64,55,55,256,64,1,1,1,1
-NML7
-NML8
-NML9
-Conv6,6000,256,55,55,64,256,1,1,1,1
-NML10
-NML11
-Conv7,6000,64,55,55,64,64,3,3,1,1
-NML11
-NML12
-Conv8,6000,64,55,55,256,64,1,1,1,1
-NML13
-NML14
-NML15
-Conv9,6000,256,55,55,64,256,1,1,1,1
-NML16
-NML17
-Conv10,6000,64,55,55,64,64,3,3,1,1
-NML18
-NML19
-Conv11,6000,64,55,55,256,64,1,1,1,1
-NML20
-NML21
-NML22
-Conv12,6000,256,55,55,128,256,1,1,1,1
-NML23
-NML24
-Conv13,6000,128,28,28,128,128,3,3,1,1
-NML25
-NML26
-Conv14,6000,128,28,28,512,128,1,1,1,1
-NML27
-Conv15,6000,256,55,55,512,256,1,1,1,1
-NML28
-NML29
-NML30
-Conv16,6000,512,28,28,128,512,1,1,1,1
-NML31
-NML32
-Conv17,6000,128,28,28,128,128,3,3,1,1
-NML33
-NML34
-Conv18,6000,128,28,28,512,128,1,1,1,1
-NML35
-NML36
-NML37
-Conv19,6000,512,28,28,128,512,1,1,1,1
-NML38
-NML39
-Conv20,6000,128,28,28,128,128,3,3,1,1
-NML40
-NML41
-Conv21,6000,128,28,28,512,128,1,1,1,1
-NML42
-NML43
-NML44
-Conv22,6000,512,28,28,128,512,1,1,1,1
-NML45
-NML46
-Conv23,6000,128,28,28,128,128,3,3,1,1
-NML47
-NML48
-Conv24,6000,128,28,28,512,128,1,1,1,1
-NML49
-NML50
-NML51
-Conv25,6000,512,28,28,256,512,1,1,1,1
-NML52
-NML53
-Conv26,6000,256,14,14,256,256,3,3,1,1
-NML54
-NML55
-Conv27,6000,256,14,14,1024,256,1,1,1,1
-NML56
-Conv28,6000,512,28,28,1024,512,1,1,1,1
-NML57
-NML58
-NML59
-Conv29,6000,1024,14,14,256,1024,1,1,1,1
-NML60
-NML61
-Conv30,6000,256,14,14,256,256,3,3,1,1
-NML62
-NML63
-Conv31,6000,256,14,14,1024,256,1,1,1,1
-NML64
-NML65
-NML66
-Conv32,6000,1024,14,14,256,1024,1,1,1,1
-NML67
-NML68
-Conv33,6000,256,14,14,256,256,3,3,1,1
-NML69
-NML70
-Conv34,6000,256,14,14,1024,256,1,1,1,1
-NML71
-NML72
-NML73
-Conv35,6000,1024,14,14,256,1024,1,1,1,1
-NML74
-NML75
-Conv36,6000,256,14,14,256,256,3,3,1,1
-NML76
-NML77
-Conv37,6000,256,14,14,1024,256,1,1,1,1
-NML78
-NML79
-NML80
-Conv38,6000,1024,14,14,256,1024,1,1,1,1
-NML81
-NML82
-Conv39,6000,256,14,14,256,256,3,3,1,1
-NML83
-NML84
-Conv40,6000,256,14,14,1024,256,1,1,1,1
-NML85
-NML86
-NML87
-Conv41,6000,1024,14,14,256,1024,1,1,1,1
-NML88
-NML89
-Conv42,6000,256,14,14,256,256,3,3,1,1
-NML90
-NML91
-Conv43,6000,256,14,14,1024,256,1,1,1,1
-NML92
-NML93
-NML94
-Conv44,6000,1024,14,14,512,1024,1,1,1,1
-NML95
-NML96
-Conv45,6000,512,7,7,512,512,3,3,1,1
-NML97
-NML98
-Conv46,6000,512,7,7,2048,512,1,1,1,1
-NML99
-Conv47,6000,1024,14,14,2048,1024,1,1,1,1
-NML100
-NML101
-NML102
-Conv48,6000,2048,7,7,512,2048,1,1,1,1
-NML103
-NML104
-Conv49,6000,512,7,7,512,512,3,3,1,1
-NML105
-NML106
-Conv50,6000,512,7,7,2048,512,1,1,1,1
-NML107
-NML108
-NML109
-Conv51,6000,2048,7,7,512,2048,1,1,1,1
-NML110
-NML111
-Conv52,6000,512,7,7,512,512,3,3,1,1
-NML112
-NML113
-Conv53,6000,512,7,7,2048,512,1,1,1,1
-NML114
-NML115
-NML116
-NML117
-FC1,6000,2048,2048,1000
diff --git a/hpvm/projects/soc_simulator/resnet50_imagenet/resnet50_imagenet_ops.txt b/hpvm/projects/soc_simulator/resnet50_imagenet/resnet50_imagenet_ops.txt
deleted file mode 100644
index da42b2ad85397c72f2385724f4af52f3da6c0c78..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/resnet50_imagenet/resnet50_imagenet_ops.txt
+++ /dev/null
@@ -1,282 +0,0 @@
-#Conv1,4
-Conv1
-Add1
-Relu1
-Pool1
-BatchNorm1
-#Conv2,2
-Conv2
-Add2
-BatchNorm2
-#NML1,1
-#Conv3,2
-Conv3
-Add3
-BatchNorm3
-#NML2,1
-#Conv4,2
-Conv4
-Add4
-BatchNorm4
-#Conv5,2
-Conv5
-Add5
-BatchNorm5
-#NML3,1
-#NML4,1
-#Conv6,2
-Conv6
-Add6
-BatchNorm6
-#NML5,1
-#Conv7,2
-Conv7
-Add7
-BatchNorm7
-#NML6,1
-#Conv8,2
-Conv8
-Add8
-BatchNorm8
-#NML7,1
-#NML8,1
-#Conv9,2
-Conv9
-Add9
-BatchNorm9
-#NML9,1
-#Conv10,2
-Conv10
-Add10
-BatchNorm10
-#NML10,1
-#Conv11,2
-Conv11
-Add11
-BatchNorm11
-#NML11,1
-#NML12,1
-#Conv12,2
-Conv12
-Add12
-BatchNorm12
-#NML13,1
-#Conv13,2
-Conv13
-Add13
-BatchNorm13
-#NML14,1
-#Conv14,2
-Conv14
-Add14
-BatchNorm14
-#Conv15,2
-Conv15
-Add15
-BatchNorm15
-#NML15,1
-#NML16,1
-#Conv16,2
-Conv16
-Add16
-BatchNorm16
-#NML17,1
-#Conv17,2
-Conv17
-Add17
-BatchNorm17
-#NML18,1
-#Conv18,2
-Conv18
-Add18
-BatchNorm18
-#NML19,1
-#NML20,1
-#Conv19,2
-Conv19
-Add19
-BatchNorm19
-#NML21,1
-#Conv20,2
-Conv20
-Add20
-BatchNorm20
-#NML22,1
-#Conv21,2
-Conv21
-Add21
-BatchNorm21
-#NML23,1
-#NML24,1
-#Conv22,2
-Conv22
-Add22
-BatchNorm22
-#NML25,1
-#Conv23,2
-Conv23
-Add23
-BatchNorm23
-#NML26,1
-#Conv24,2
-Conv24
-Add24
-BatchNorm24
-#NML27,1
-#NML28,1
-#Conv25,2
-Conv25
-Add25
-BatchNorm25
-#NML29,1
-#Conv26,2
-Conv26
-Add26
-BatchNorm26
-#NML30,1
-#Conv27,2
-Conv27
-Add27
-BatchNorm27
-#Conv28,2
-Conv28
-Add28
-BatchNorm28
-#NML31,1
-#NML32,1
-#Conv29,2
-Conv29
-Add29
-BatchNorm29
-#NML33,1
-#Conv30,2
-Conv30
-Add30
-BatchNorm30
-#NML34,1
-#Conv31,2
-Conv31
-Add31
-BatchNorm31
-#NML35,1
-#NML36,1
-#Conv32,2
-Conv32
-Add32
-BatchNorm32
-#NML37,1
-#Conv33,2
-Conv33
-Add33
-BatchNorm33
-#NML38,1
-#Conv34,2
-Conv34
-Add34
-BatchNorm34
-#NML39,1
-#NML40,1
-#Conv35,2
-Conv35
-Add35
-BatchNorm35
-#NML41,1
-#Conv36,2
-Conv36
-Add36
-BatchNorm36
-#NML42,1
-#Conv37,2
-Conv37
-Add37
-BatchNorm37
-#NML43,1
-#NML44,1
-#Conv38,2
-Conv38
-Add38
-BatchNorm38
-#NML45,1
-#Conv39,2
-Conv39
-Add39
-BatchNorm39
-#NML46,1
-#Conv40,2
-Conv40
-Add40
-BatchNorm40
-#NML47,1
-#NML48,1
-#Conv41,2
-Conv41
-Add41
-BatchNorm41
-#NML49,1
-#Conv42,2
-Conv42
-Add42
-BatchNorm42
-#NML50,1
-#Conv43,2
-Conv43
-Add43
-BatchNorm43
-#NML51,1
-#NML52,1
-#Conv44,2
-Conv44
-Add44
-BatchNorm44
-#NML53,1
-#Conv45,2
-Conv45
-Add45
-BatchNorm45
-#NML54,1
-#Conv46,2
-Conv46
-Add46
-BatchNorm46
-#Conv47,2
-Conv47
-Add47
-BatchNorm47
-#NML55,1
-#NML56,1
-#Conv48,2
-Conv48
-Add48
-BatchNorm48
-#NML57,1
-#Conv49,2
-Conv49
-Add49
-BatchNorm49
-#NML58,1
-#Conv50,2
-Conv50
-Add50
-BatchNorm50
-#NML59,1
-#NML60,1
-#Conv51,2
-Conv51
-Add51
-BatchNorm51
-#NML61,1
-#Conv52,2
-Conv52
-Add52
-BatchNorm52
-#NML62,1
-#Conv53,2
-Conv53
-Add53
-BatchNorm53
-#NML63,1
-#NML64,1
-#NML65,1
-#FC1,2
-Mul1
-Add54
diff --git a/hpvm/projects/soc_simulator/scripts/construct_ops.py b/hpvm/projects/soc_simulator/scripts/construct_ops.py
deleted file mode 100644
index 3bcb2af9c345b19d86acaf92e3771c60370b4678..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/scripts/construct_ops.py
+++ /dev/null
@@ -1,89 +0,0 @@
-
-
-import sys
-
-
-op_map = {}
-op_map["conv"] = "Conv"
-op_map["add"] = "Add"
-op_map["dense"] = "Mul"
-op_map["pool"] = "Pool"
-op_map["relu"] = "Relu"
-op_map["activation"] = "Relu"
-op_map["tanh"] = "Tanh"
-op_map["batchnorm"] = "BatchNorm"
-
-
-unique_op_map = {}
-
-
-def getLayerStr(layer_toks):
-
- layer_str = ""
- for tok in layer_toks:
- op_id = 1
- if tok not in unique_op_map:
- op_id = 1
- unique_op_map[tok] = 1
- else:
- op_id = unique_op_map[tok]
- op_id += 1
- unique_op_map[tok] = op_id
-
- layer_str += op_map[tok] + str(op_id) + "\n"
-
- return layer_str
-
-
-
-if __name__ == "__main__":
-
- f_path = sys.argv[1]
- out_path = sys.argv[2]
-
- f = open(f_path)
- f2 = open(out_path, "w+")
-
-
- nml_id = 1
- conv_id = 1
- fc_id = 1
- batchnorm_id = 1
-
- for x in f:
- toks = x.split()
-
- layer_len = len(toks)
-
- #if "batchnorm" in toks:
- # f2.write("BatchNorm" + str(batchnorm_id) + "\n")
- # batchnorm_id += 1
- # continue
-
- if layer_len == 1 and "conv" not in toks and "dense" not in toks:
- f2.write("#NML" + str(nml_id) + ",1\n")
- nml_id += 1
-
- layer_str = getLayerStr(toks)
- f2.write(layer_str)
-
-
- if "conv" in toks:
- f2.write("#Conv" + str(conv_id) + "," + str(layer_len) + "\n")
-
- layer_str = getLayerStr(toks)
- f2.write(layer_str)
- conv_id += 1
-
- if "dense" in toks:
- f2.write("#FC" + str(fc_id) + "," + str(layer_len) + "\n")
-
- layer_str = getLayerStr(toks)
- f2.write(layer_str)
- fc_id += 1
-
-
- f2.close()
-
-
-
diff --git a/hpvm/projects/soc_simulator/scripts/replace_nml.py b/hpvm/projects/soc_simulator/scripts/replace_nml.py
deleted file mode 100644
index 92e58f629b0419d3f2f9d3539507ae4baaf10026..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/scripts/replace_nml.py
+++ /dev/null
@@ -1,27 +0,0 @@
-
-
-
-
-if __name__ == "__main__":
-
- f = open("layers.txt")
- f2 = open("resnet50_imagenet_layers.txt", "w+")
-
-
- nml_id = 1
- for x in f:
- if "#" in x:
- f2.write("NML" + str(nml_id) + "\n")
- nml_id += 1
- elif "Conv" in x:
- x = x.replace("\n", "")
- x = x + ",1,1\n"
- f2.write(x)
- else:
- f2.write(x)
-
-
- f2.close()
-
-
-
diff --git a/hpvm/projects/soc_simulator/src/Makefile b/hpvm/projects/soc_simulator/src/Makefile
deleted file mode 100644
index c31b4d295f0bffb35da63e965fc9cb1d8163af99..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/src/Makefile
+++ /dev/null
@@ -1,16 +0,0 @@
-all: clean timing quant patch gemm
-
-timing:
- g++ -std=c++11 -O3 promise_timing_model.cpp -o ptm
-
-quant:
- nvcc -std=c++11 -O3 -arch=sm_62 quantization.cu -o quantize
-
-patch:
- nvcc -std=c++11 -O3 -arch=sm_62 patch.cu -o patch
-
-gemm:
- nvcc -std=c++11 -O3 -arch=sm_62 gemm.cu fp16_emu.cpp -o gemm -lcublas
-
-clean:
- rm -rf ptm quantize patch gemm
diff --git a/hpvm/projects/soc_simulator/src/copy_tensor_data.pl b/hpvm/projects/soc_simulator/src/copy_tensor_data.pl
deleted file mode 100755
index 98729936071d49bf95017c429e202f107babdae9..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/src/copy_tensor_data.pl
+++ /dev/null
@@ -1,130 +0,0 @@
-#!/usr/bin/perl
-
-use strict;
-use warnings;
-
-my %tensors;
-
-########################################
-if (($#ARGV + 1) != 4) {
- print "Usage: copy_tensor_data.pl <tensor info> <FP16 data> <FP32 data> <output tensor file>\n";
- exit;
-}
-
-# Input tensor file
-my $tensor_filename = $ARGV[0];
-
-# FP16 data file
-my $fp16_data_filename = $ARGV[1];
-
-# FP32 data file
-my $fp32_data_filename = $ARGV[2];
-
-# Output tensor file
-my $output_filename = $ARGV[3];
-########################################
-
-########################################
-print "Reading FP16 data\n";
-open(my $fp16_data_file, '<', $fp16_data_filename) or die "Couldn't open FP16 data file $fp16_data_filename: $!";
-while (my $line = <$fp16_data_file>) {
- chomp $line;
- my @tokens = split /,/, $line;
-
- # The format of each line is:
- # 0 1 2
- # Op name, time, energy
- my $op_name = $tokens[0];
- my $op_time = $tokens[1];
- my $op_energy = $tokens[2];
-
- if (is_f2h($op_name)) {
- # Remove _f2h
- $op_name = substr($op_name, 0, -4);
- $tensors{$op_name}{"f2h_time"} = $op_time;
- $tensors{$op_name}{"f2h_energy"} = $op_energy;
- } elsif (is_h2f($op_name)) {
- # Remove _h2f
- $op_name = substr($op_name, 0, -4);
- $tensors{$op_name}{"h2f_time"} = $op_time;
- $tensors{$op_name}{"h2f_energy"} = $op_energy;
- } else {
- $tensors{$op_name}{"fp16_time"} = $op_time;
- $tensors{$op_name}{"fp16_energy"} = $op_energy;
- }
-}
-########################################
-
-########################################
-print "Reading FP32 data\n";
-open(my $fp32_data_file, '<', $fp32_data_filename) or die "Couldn't open FP32 data file $fp32_data_filename: $!";
-while (my $line = <$fp32_data_file>) {
- chomp $line;
- my @tokens = split /,/, $line;
-
- # The format of each line is:
- # 0 1 2
- # Op name, time, energy
- my $op_name = $tokens[0];
- my $op_time = $tokens[1];
- my $op_energy = $tokens[2];
-
- $tensors{$op_name}{"Name"} = $op_name;
- $tensors{$op_name}{"fp32_time"} = $op_time;
- $tensors{$op_name}{"fp32_energy"} = $op_energy;
-}
-########################################
-
-########################################
-print "Generating output tensor file\n";
-open(my $tensor_file, '<', $tensor_filename) or die "Couldn't open tensor info file $tensor_filename: $!";
-open(my $output_file, '>', $output_filename) or die "Couldn't open results file $output_filename: $!";
-while (my $line = <$tensor_file>) {
- print $output_file $line;
- chomp $line;
-
- # Layer lines look like this: #layer_name, num_tensor_ops_in_layer
- my @tokens = split /,/, $line;
- my $layer_name = substr($tokens[0], 1);
- my $num_ops = $tokens[1];
-
- # Tensor lines look like this: name
- for (my $i = 0; $i < $num_ops; $i++) {
- my $op_name = <$tensor_file>;
- chomp $op_name;
-
- # Format of each output line:
- # Name, FP32 time, FP32 energy, FP16 time, FP16 energy, f2h time, f2h energy, h2f time, h2f energy
- print $output_file $tensors{$op_name}{"Name"} . ",";
- print $output_file $tensors{$op_name}{"fp32_time"} . ",";
- print $output_file $tensors{$op_name}{"fp32_energy"} . ",";
- print $output_file $tensors{$op_name}{"fp16_time"} . ",";
- print $output_file $tensors{$op_name}{"fp16_energy"} . ",";
- print $output_file $tensors{$op_name}{"f2h_time"} . ",";
- print $output_file $tensors{$op_name}{"f2h_energy"} . ",";
- print $output_file $tensors{$op_name}{"h2f_time"} . ",";
- print $output_file $tensors{$op_name}{"h2f_energy"} . "\n";
- }
-}
-
-print "Done!\n";
-########################################
-
-sub is_f2h {
- my ($name) = @_;
- if ($name =~ /f2h/i) {
- return 1;
- } else {
- return;
- }
-}
-
-sub is_h2f {
- my ($name) = @_;
- if ($name =~ /h2f/i) {
- return 1;
- } else {
- return;
- }
-}
-
diff --git a/hpvm/projects/soc_simulator/src/driver.pl b/hpvm/projects/soc_simulator/src/driver.pl
deleted file mode 100755
index fe53ca9d850e58e72a1e8ebe8d7e048d24ddc017..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/src/driver.pl
+++ /dev/null
@@ -1,506 +0,0 @@
-#!/usr/bin/perl
-
-use strict;
-use warnings;
-
-my $fp16_swing = 8;
-my $iterations = 10;
-
-my $PROMISE = "PROMISE";
-my $fp16 = "FP16";
-my $fp32 = "FP32";
-
-my @layers;
-my %tensors;
-my %results;
-
-########################################
-if (($#ARGV + 1) != 6) {
- print "Usage: driver.pl <layer info> <tensor info> <configurations> <results file> <smart DMA> <detailed results?>\n";
- exit;
-}
-
-my $layer_filename = $ARGV[0];
-my $tensor_filename = $ARGV[1];
-my $config_filename = $ARGV[2];
-my $results_filename = $ARGV[3];
-my $smart_dma = $ARGV[4];
-my $detailed_results = $ARGV[5];
-########################################
-
-########################################
-print "Reading layer info\n";
-open(my $layer_file, '<', $layer_filename) or die "Couldn't open layer info file $layer_filename: $!";
-while (my $line = <$layer_file>) {
- chomp $line;
- add_layer($line);
-}
-########################################
-
-########################################
-print "Reading tensor info\n";
-open(my $tensor_file, '<', $tensor_filename) or die "Couldn't open tensor info file $tensor_filename: $!";
-while (my $line = <$tensor_file>) {
- chomp $line;
- # Layer lines look like this: #layer_name, num_tensor_ops_in_layer
- my @tokens = split /,/, $line;
- my $layer_name = substr($tokens[0], 1);
- my $num_ops = $tokens[1];
-
- # Tensor lines look like this: name, FP32 time, FP32 energy, FP16 time, FP16 energy, f2h time, f2h energy, h2f time, h2f energy
- for (my $i = 0; $i < $num_ops; $i++) {
- my $op = <$tensor_file>;
- chomp $op;
- my @values = split /,/, $op;
- $tensors{$layer_name}{$i} = [@values];
- }
-}
-########################################
-
-########################################
-print "Running simulations\n";
-my $conf_count = 0;
-open(my $config_file, '<', $config_filename) or die "Couldn't open config file $config_filename: $!";
-open(my $results_file, '>', $results_filename) or die "Couldn't open results file $results_filename: $!";
-while (my $line = <$config_file>) {
- chomp $line;
-
- # Each line has a bunch of comma separated voltage swing levels
- my @levels = split /,/, $line;
- my $layer_count = 0;
- my $prev = $fp32;
- my $curr;
- foreach my $level (@levels) {
- my %layer = %{$layers[$layer_count]};
-
- if (is_promise($level)) {
- # The voltage level corresponds to PROMISE
- print "Running layer $layer{\"Name\"} on PROMISE\n";
- $curr = $PROMISE;
-
- # Quantization
- my ($qtime, $qenergy) = quantize($curr, $prev, 0, %layer);
-
- # Patching
- my ($ptime, $penergy) = patch(%layer);
-
- # Compute
- my ($ttime, $tenergy, $ctime, $cenergy, $mtime, $menergy, $lenergy) = promise($level, %layer);
-
- # Unpatching
- my ($utime, $uenergy) = unpatch(%layer);
-
- # Layer info
- $results{"Time"}{$conf_count}{$layer{"Name"}} = $mtime + $ctime;
- $results{"Quantization Time"}{$conf_count}{$layer{"Name"}} = 0.0;
- $results{"Memory Time"}{$conf_count}{$layer{"Name"}} = $mtime;
- $results{"Compute Time"}{$conf_count}{$layer{"Name"}} = $ctime;
-
- $results{"Energy"}{$conf_count}{$layer{"Name"}} = $qenergy + $penergy + $menergy + $cenergy + $uenergy + $lenergy;
- $results{"Quantization Energy"}{$conf_count}{$layer{"Name"}} = $qenergy;
- $results{"Patch Energy"}{$conf_count}{$layer{"Name"}} = $penergy;
- $results{"Memory Energy"}{$conf_count}{$layer{"Name"}} = $menergy;
- $results{"Compute Energy"}{$conf_count}{$layer{"Name"}} = $cenergy;
- $results{"Unpatch Energy"}{$conf_count}{$layer{"Name"}} = $uenergy;
- $results{"Leakage Energy"}{$conf_count}{$layer{"Name"}} = $lenergy;
-
- # Aggregate info
- $results{"Time"}{$conf_count}{"Total"} += ($mtime + $ctime);
- $results{"Quantization Time"}{$conf_count}{"Total"} += 0.0;
- $results{"Memory Time"}{$conf_count}{"Total"} += $mtime;
- $results{"Compute Time"}{$conf_count}{"Total"} += $ctime;
-
- $results{"Energy"}{$conf_count}{"Total"} += ($qenergy + $penergy + $menergy + $cenergy + $uenergy + $lenergy);
- $results{"Quantization Energy"}{$conf_count}{"Total"} += $qenergy;
- $results{"Patch Energy"}{$conf_count}{"Total"} += $penergy;
- $results{"Memory Energy"}{$conf_count}{"Total"} += $menergy;
- $results{"Compute Energy"}{$conf_count}{"Total"} += $cenergy;
- $results{"Unpatch Energy"}{$conf_count}{"Total"} += $uenergy;
- $results{"Leakage Energy"}{$conf_count}{"Total"} += $lenergy;
- } else {
- # The voltage level corresponds to GPU (FP16 or FP32)
- print "Running layer $layer{\"Name\"} on the GPU\n";
- my @sublevels = split / /, $level;
- my $tensor_count = 0;
-
- my $total_qtime;
- my $total_ctime;
- my $total_qenergy;
- my $total_cenergy;
-
- foreach my $sublevel (@sublevels) {
- if ($sublevel == $fp16_swing) {
- $curr = $fp16;
- } else {
- $curr = $fp32;
- }
-
- # Quantization
- my ($qtime, $qenergy) = quantize($curr, $prev, $tensor_count, %layer);
-
- # Compute
- my ($ctime, $cenergy) = gpu($curr, $layer{"Name"}, $tensor_count);
-
- # Update total
- $total_qtime += $qtime;
- $total_ctime += $ctime;
- $total_qenergy += $qenergy;
- $total_cenergy += $cenergy;
-
- $prev = $curr;
- $tensor_count++;
- }
-
- # Layer info
- $results{"Time"}{$conf_count}{$layer{"Name"}} = $total_qtime + $total_ctime;
- $results{"Quantization Time"}{$conf_count}{$layer{"Name"}} = $total_qtime;
- $results{"Memory Time"}{$conf_count}{$layer{"Name"}} = 0.0;
- $results{"Compute Time"}{$conf_count}{$layer{"Name"}} = $total_ctime;
-
- $results{"Energy"}{$conf_count}{$layer{"Name"}} = $total_qenergy + $total_cenergy;
- $results{"Quantization Energy"}{$conf_count}{$layer{"Name"}} = $total_qenergy;
- $results{"Patch Energy"}{$conf_count}{$layer{"Name"}} = 0.0;
- $results{"Memory Energy"}{$conf_count}{$layer{"Name"}} = 0.0;
- $results{"Compute Energy"}{$conf_count}{$layer{"Name"}} = $total_cenergy;
- $results{"Unpatch Energy"}{$conf_count}{$layer{"Name"}} = 0.0;
- $results{"Leakage Energy"}{$conf_count}{$layer{"Name"}} = 0.0;
-
- # Aggregate info
- $results{"Time"}{$conf_count}{"Total"} += ($total_qtime + $total_ctime);
- $results{"Quantization Time"}{$conf_count}{"Total"} += $total_qtime;
- $results{"Memory Time"}{$conf_count}{"Total"} += 0.0;
- $results{"Compute Time"}{$conf_count}{"Total"} += $total_ctime;
-
- $results{"Energy"}{$conf_count}{"Total"} += ($total_qenergy + $total_cenergy);
- $results{"Quantization Energy"}{$conf_count}{"Total"} += $total_qenergy;
- $results{"Patch Energy"}{$conf_count}{"Total"} += 0.0;
- $results{"Memory Energy"}{$conf_count}{"Total"} += 0.0;
- $results{"Compute Energy"}{$conf_count}{"Total"} += $total_cenergy;
- $results{"Unpatch Energy"}{$conf_count}{"Total"} += 0.0;
- $results{"Leakage Energy"}{$conf_count}{"Total"} += 0.0;
- }
-
- $prev = $curr;
- $layer_count++;
- }
-
- print "\n";
- $conf_count++;
-}
-
-
-#foreach my $config (sort keys %{$results{$attribute}}) {
-#foreach my $layer (sort keys %{$results{$attribute}{$config}}) {
-
-########################################
-print "Printing results\n";
-if ($detailed_results) {
- my @attributes_to_print = ("Time", "Energy");
- #foreach my $attribute (@attributes_to_print) {
- foreach my $attribute (sort keys %results) {
- print $results_file $attribute . "\n";
-
- # Print header
- print $results_file "Configuration,";
- foreach my $layer (@layers) {
- print $results_file ${$layer}{"Name"} . ",";
- }
- print $results_file "Total,Improvement\n";
-
- my $baseline = $results{$attribute}{0}{"Total"};
- my $best_config = undef;
- my $best_result = undef;
- for (my $config = 0; $config < $conf_count; $config++) {
- print $results_file "c$config";
-
- # This is *really* important. It ensures that each configuration's layer
- # data is printed in the right order.
- foreach my $layer (@layers) {
- my $layer_name = ${$layer}{"Name"};
- print $results_file "," . $results{$attribute}{$config}{$layer_name};
- }
-
- my $val = $results{$attribute}{$config}{"Total"};
- print $results_file "," . $val;
- print $results_file "," . ($baseline / ($val + 0.0001));
- print $results_file "\n";
-
- if ((!defined $best_result) or ($val < $best_result)) {
- $best_result = $val;
- $best_config = $config;
- }
- #$best_result = $val if !defined $best_result or $val < $best_result;
- #$best_config = $config if !defined $best_config or $val < $best_result;
- }
-
- print $results_file "\n";
- print $results_file "c$best_config";
- print $results_file "," . $results{$attribute}{$best_config}{"Total"};
- print $results_file "\n\n";
- }
-} else {
- my @attributes_to_print = ("Time", "Energy");
- foreach my $attribute (@attributes_to_print) {
- print $results_file $attribute . "\n";
-
- # Print header
- print $results_file "Configuration,";
- print $results_file "Total,Improvement\n";
-
- my $baseline = $results{$attribute}{0}{"Total"};
- my $best_config = undef;
- my $best_result = undef;
- for (my $config = 0; $config < $conf_count; $config++) {
- print $results_file "c$config";
-
- my $val = $results{$attribute}{$config}{"Total"};
- print $results_file "," . $val;
- print $results_file "," . ($baseline / ($val + 0.0001));
- print $results_file "\n";
-
- if ((!defined $best_result) or ($val < $best_result)) {
- $best_result = $val;
- $best_config = $config;
- }
- }
-
- print $results_file "\n";
- print $results_file "c$best_config";
- print $results_file "," . $results{$attribute}{$best_config}{"Total"};
- print $results_file "\n\n";
- }
-}
-
-# Cleanup
-`rm -f blah profile_data.txt`;
-print "Done!\n";
-########################################
-
-sub add_layer {
- my ($line) = @_;
- my @tokens = split /,/, $line;
-
- # The format of each line is:
- # 0 1 2 3 4 5 6 7 8 9 10
- # Name, N, C, H, W, Co, C, Kh, Kw, Sh, Sw
- # OR
- # 0 1 2 3 4
- # Name, RA, CA, RB, CB
- my %layer;
- my $layer_name = $tokens[0];
- $layer{"Name"} = $layer_name;
- if (is_conv($layer_name)) {
- $layer{"N"} = $tokens[1];
- $layer{"C"} = $tokens[2];
- $layer{"H"} = $tokens[3];
- $layer{"W"} = $tokens[4];
- $layer{"Co"} = $tokens[5];
- $layer{"Kh"} = $tokens[7];
- $layer{"Kw"} = $tokens[8];
- $layer{"Sh"} = $tokens[9];
- $layer{"Sw"} = $tokens[10];
- } elsif (is_fc($layer_name)) {
- $layer{"RA"} = $tokens[1];
- $layer{"CA"} = $tokens[2];
- $layer{"RB"} = $tokens[3];
- $layer{"CB"} = $tokens[4];
- } elsif (not is_nml($layer_name)) {
- die "Illegal layer name\n";
- }
-
- push @layers, \%layer;
-}
-
-sub quantize {
- my ($curr, $prev, $tensor, %layer) = @_;
- my $size;
- my $te;
-
- # No quantization needed if on same device/knob
- if ($curr eq $prev) {
- return (0.0, 0.0);
- }
-
- # No quantization needed with smart DMA
- if ($smart_dma and (($curr eq $PROMISE) or ($prev eq $PROMISE))) {
- return (0.0, 0.0);
- }
-
- my $layer_name = $layer{"Name"};
- if (is_conv($layer_name)) {
- # Input + Kernel
- $size = ($layer{"N"} * $layer{"C"} * $layer{"H"} * $layer{"W"}) + ($layer{"Co"} * $layer{"C"} * $layer{"Kh"} * $layer{"Kw"});
- } elsif (is_fc($layer_name)) {
- # Matrix A + matrix B
- $size = ($layer{"RA"} * $layer{"CA"}) + ($layer{"RB"} * $layer{"CB"});
- } elsif (not is_nml($layer_name)) {
- die "This should never, ever happen\n";
- }
-
- if ($curr eq $PROMISE) {
- # We are offloading to PROMISE
- my $type;
- if ($prev eq $fp32) {
- $type = "f2c";
- } else {
- $type = "h2c";
- }
- $te = `~/awesome_profiler/pp "./quantize $size $type" $iterations blah`;
- chomp $te;
- } elsif ($prev eq $PROMISE) {
- # We are coming back from PROMISE
- my $type;
- if ($curr eq $fp32) {
- $type = "c2f";
- } else {
- $type = "c2h";
- }
- $te = `~/awesome_profiler/pp "./quantize $size $type" $iterations blah`;
- chomp $te;
- } else {
- # We are converting between FP16 and FP32
- # Tensor lines look like this: name, FP32 time, FP32 energy, FP16 time, FP16 energy, f2h time, f2h energy, h2f time, h2f energy
- my @info = @{$tensors{$layer{"Name"}}{$tensor}};
- if ($curr eq $fp32) {
- $te = $info[7] . "," . $info[8]; # h2f
- } else {
- $te = $info[5] . "," . $info[6]; # f2h
- }
- }
-
- my @temp = split /,/, $te;
- print "Quantization: ($temp[0], $temp[1])\n";
- return ($temp[0], $temp[1]);
-}
-
-sub patch {
- # No patching needed with smart DMA
- if ($smart_dma) {
- return (0.0, 0.0);
- }
-
- my (%layer) = @_;
- if (is_conv($layer{"Name"})) {
- my $te_input = `~/awesome_profiler/pp "./patch $layer{"N"} $layer{"C"} $layer{"H"} $layer{"W"} $layer{"Co"} $layer{"Kh"} $layer{"Kw"} patch" $iterations blah`;
- my $te_kernel = `~/awesome_profiler/pp "./patch $layer{"N"} $layer{"C"} $layer{"H"} $layer{"W"} $layer{"Co"} $layer{"Kh"} $layer{"Kw"} kernel" $iterations blah`;
- chomp $te_input;
- chomp $te_kernel;
- my @input = split /,/, $te_input;
- my @kernel = split /,/, $te_kernel;
- print "Patch: ($input[0] + $kernel[0], $input[1] + $kernel[1])\n";
- return ($input[0] + $kernel[0], $input[1] + $kernel[1]);
- } else {
- return (0.0, 0.0);
- }
-}
-
-sub unpatch {
- # No unpatching needed with smart DMA
- if ($smart_dma) {
- return (0.0, 0.0);
- }
-
- my (%layer) = @_;
- if (is_conv($layer{"Name"})) {
- my $te = `~/awesome_profiler/pp "./patch $layer{"N"} $layer{"C"} $layer{"H"} $layer{"W"} $layer{"Co"} $layer{"Kh"} $layer{"Kw"} unpatch" $iterations blah`;
- chomp $te;
- my @temp = split /,/, $te;
- print "Unpatch: ($temp[0], $temp[1])\n";
- return ($temp[0], $temp[1]);
- } else {
- return (0.0, 0.0);
- }
-}
-
-sub promise {
- my ($swing, %layer) = @_;
- my $rows_a;
- my $cols_a;
- my $rows_b;
- my $cols_b;
- my $patch_factor = 1;
- my $layer_name = $layer{"Name"};
-
- if (is_conv($layer_name)) {
- $rows_a = ($layer{"N"} * $layer{"H"} * $layer{"W"}) / ($layer{"Sh"} * $layer{"Sw"});
- $cols_a = $layer{"C"} * $layer{"Kh"} * $layer{"Kw"};
- $rows_b = $cols_a;
- $cols_b = $layer{"Co"};
-
- if ($smart_dma) {
- $patch_factor = $layer{"Kh"} * $layer{"Kw"};
- }
- } elsif (is_fc($layer_name)) {
- $rows_a = $layer{"RA"};
- $cols_a = $layer{"CA"};
- $rows_b = $cols_a;
- $cols_b = $layer{"CB"};
- } else {
- # It's either an NML or something else, either way, this is bad
- die "PROMISE can't run whatever this is!\n";
- }
-
- #print "[$rows_a x $cols_a] x [$rows_b x $cols_b] : $swing\n";
- my $te = `./ptm $rows_a $cols_a $rows_b $cols_b $patch_factor $swing`;
- chomp $te;
- my @temp = split /,/, $te;
- print "PROMISE: ($temp[0], $temp[1])\n";
- return ($temp[0], $temp[1], $temp[2], $temp[3], $temp[4], $temp[5], $temp[6]);
-}
-
-sub gpu {
- my ($curr, $layer_name, $tensor) = @_;
- my @info = @{$tensors{$layer_name}{$tensor}};
- my $time;
- my $energy;
-
- # Tensor lines look like this: name, FP32 time, FP32 energy, FP16 time, FP16 energy, f2h time, f2h energy, h2f time, h2f energy
- if ($curr eq $fp32) {
- $time = $info[1];
- $energy = $info[2];
- } else {
- $time = $info[3];
- $energy = $info[4];
- }
-
- print "GPU: ($time, $energy)\n";
- return ($time, $energy);
-}
-
-sub is_promise {
- my ($level) = @_;
- my @sublevels = split / /, $level;
- if ($sublevels[0] < $fp16_swing) {
- return 1;
- } else {
- return;
- }
-}
-
-sub is_conv {
- my ($name) = @_;
- if ($name =~ /conv/i) {
- return 1;
- } else {
- return;
- }
-}
-
-sub is_fc {
- my ($name) = @_;
- if ($name =~ /fc/i) {
- return 1;
- } else {
- return;
- }
-}
-
-sub is_nml {
- my ($name) = @_;
- if ($name =~ /nml/i) {
- return 1;
- } else {
- return;
- }
-}
-
diff --git a/hpvm/projects/soc_simulator/src/driver.py b/hpvm/projects/soc_simulator/src/driver.py
deleted file mode 100644
index dbf2651bd3a9512c46d9e0a549c61290ad913ab0..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/src/driver.py
+++ /dev/null
@@ -1,306 +0,0 @@
-from collections import defaultdict
-import os
-import subprocess
-import sys
-
-class Driver:
- fp16_swing = 8
-
- class ApproxTypes:
- FP16 = 0
- FP32 = 1
- PROMISE = 2
-
- results_time_key = "Time"
- results_energy_key = "Energy"
-
- def __get_str(self, appr):
- if appr == Driver.ApproxTypes.FP16:
- return "FP16"
- elif appr == Driver.ApproxTypes.FP32:
- return "FP32"
- elif appr == Driver.ApproxTypes.PROMISE:
- return "PROMISE"
-
- def driver(self):
- self.__parse_tensor_layer_file()
- self.__parse_tensor_table()
- self.__run_simulations()
- self.__display_results()
-
-
- def __init__(self, layer_filename, table_filename, config_filename, results_filename):
- self.__layer_filename = layer_filename
- self.__table_filename = table_filename
- self.__config_filename = config_filename
- self.__results_filename = results_filename
-
- # NOTE: Use an OrderedDict if we want to search by operation name
- # Using a list bc we care about the order the data is read in
- # since it corresponds to the data in the configuration file
- self.__tensor_layers = []
-
- # [layer_name][operation_name][cols]
- # Operation names need to be stored in order of insertion
- self.__tensor_table = defaultdict(lambda: list(defaultdict(str)))
-
- # [Time/Energy][number corresponding to order the layer config was read in] = time/energy
- self.__aggregate_results = defaultdict(lambda: defaultdict(float))
- self.__config_count = 0
-
-
- @staticmethod
- def is_conv(operation_name):
- return operation_name.startswith("Conv")
-
-
- @staticmethod
- def is_nml(operation_name):
- return operation_name.startswith("NML")
-
-
- @staticmethod
- def is_fc(operation_name):
- return operation_name.startswith("FC")
-
-
- def __parse_tensor_layer_file(self):
- if not os.path.isfile(self.__layer_filename):
- print("ERROR: %s was not found." % self.__layer_filename)
- exit(1)
-
- layer_file = open(self.__layer_filename, "r")
- for line in layer_file:
- layer_data = line.strip().split(',')
- layer_name = layer_data[0]
-
- tensor_layer = defaultdict(str)
- tensor_layer["Name"] = layer_name
-
- if Driver.is_conv(layer_name):
- tensor_layer["N"] = float(layer_data[1])
- tensor_layer["Cin"] = float(layer_data[2])
- tensor_layer["H"] = float(layer_data[3])
- tensor_layer["W"] = float(layer_data[4])
- tensor_layer["Cout"] = float(layer_data[5])
- tensor_layer["Kh"] = float(layer_data[7])
- tensor_layer["Kw"] = float(layer_data[8])
- tensor_layer["Sh"] = float(layer_data[9])
- tensor_layer["Sw"] = float(layer_data[10])
-
- elif Driver.is_fc(layer_name):
- tensor_layer["RA"] = float(layer_data[1])
- tensor_layer["CA"] = float(layer_data[2])
- tensor_layer["RB"] = float(layer_data[3])
- tensor_layer["CB"] = float(layer_data[4])
-
- elif not Driver.is_nml(layer_name): # TODO should we store data for NMLs?
- print("ERROR: Invalid layer name %s" % layer_name)
- exit(1)
-
- self.__tensor_layers.append(tensor_layer)
- layer_file.close()
-
-
- def __parse_tensor_table(self):
- if not os.path.isfile(self.__table_filename):
- print("ERROR: %s was not found." % self.__table_filename)
- exit(1)
- table_file = open(self.__table_filename, "r")
- line = table_file.readline().strip()
-
- while line:
- # Line here MUST be a header or there's a bug
- # Get the description of the layer
- assert(line.startswith("**"))
-
- header_contents = line.split(' ')[1:]
- layer_name = header_contents[0]
- num_ops = int(header_contents[1])
- col_names = header_contents[2:]
-
- layer_operations = []
-
- # Go through all operations in the layer
- for op_count in range(num_ops):
- operation_data = defaultdict(str)
-
- line = table_file.readline().strip()
- op_data = line.split(' ')
- op_name = op_data[0]
- operation_data["Name"] = op_name
-
- # Number of data items (#s) needs to match up with the # of cols
- assert(len(op_data) - 1 == len(col_names))
-
- # Go through all data items (each col element) per operation
- for i in range(len(col_names)):
- operation_data[col_names[i]] = float(op_data[i + 1])
-
- layer_operations.append(operation_data)
-
- self.__tensor_table[layer_name] = layer_operations
- line = table_file.readline().strip()
- table_file.close()
-
-
- @staticmethod
- def is_promise(config_layer):
- return float(config_layer.split(' ')[0]) < Driver.fp16_swing
-
-
- def __quantize(self, curr_layer, prev_layer, h2f_f2h_operation_ind, layer_data):
- print(self.__get_str(curr_layer), self.__get_str(prev_layer), h2f_f2h_operation_ind)
- if curr_layer == prev_layer or curr_layer == Driver.ApproxTypes.PROMISE \
- or prev_layer == Driver.ApproxTypes.PROMISE: # No quantization needed
- return 0.0, 0.0
-
- layer_name = layer_data["Name"]
-
- # NOTE: Ignoring logic where curr == promise or prev == promise bc
- # smartDMA is always true so we'd return near the beginning of the method
-
- # Get h2f/f2h data using the first tensor operation in the layer
- # (which is why order matters in the tensor table)
- tensor_op_row = self.__tensor_table[layer_name][h2f_f2h_operation_ind]
- if curr_layer == Driver.ApproxTypes.FP32:
- time = tensor_op_row["h2f_time"]
- energy = tensor_op_row["h2f_energy"]
- elif curr_layer == Driver.ApproxTypes.FP16:
- time = tensor_op_row["f2h_time"]
- energy = tensor_op_row["f2h_energy"]
-
- print("Quantization: (%f, %f)" % (time, energy))
- return (time, energy)
-
-
- def __run_promise_simulation(self, swing, layer_data):
- layer_name = layer_data["Name"]
- patch_factor = 1
-
- if Driver.is_conv(layer_name):
- rows_a = layer_data["N"] * layer_data["H"] * layer_data["W"] \
- / (layer_data["Sh"] * layer_data["Sw"])
- cols_a = layer_data["Cin"] * layer_data["Kh"] * layer_data["Kw"]
- rows_b = cols_a
- cols_b = layer_data["Cout"]
- patch_factor = layer_data["Kh"] * layer_data["Kw"]
- elif Driver.is_fc(layer_name):
- rows_a = layer_data["RA"]
- cols_a = layer_data["CA"]
- rows_b = cols_a
- cols_b = layer_data["CB"]
- else:
- print("PROMISE can't run whatever this layer is.")
- exit(1)
- # Run promise simulator
- # TODO need to print time and energy in the ptm runner so we can pipe it
- output = subprocess.Popen(["./ptm_new", str(rows_a), str(cols_a), str(rows_b), \
- str(cols_b), str(patch_factor), str(swing)], \
- stdout = subprocess.PIPE, stderr = subprocess.PIPE).communicate()[0]
- total_time_energy = output.strip().split(',')
-
- assert(len(total_time_energy) == 2)
- print("PROMISE: (%s, %s)" % (total_time_energy[0], total_time_energy[1]))
- return float(total_time_energy[0]), float(total_time_energy[1])
-
-
- def __run_gpu_simulation(self, curr_layer, layer_name, tensor_ind):
- tensor_info = self.__tensor_table[layer_name][tensor_ind]
- if curr_layer == Driver.ApproxTypes.FP32:
- conversion_time = tensor_info["fp32_time"]
- conversion_energy = tensor_info["fp32_energy"]
- else:
- conversion_time = tensor_info["fp16_time"]
- conversion_energy = tensor_info["fp16_energy"]
- print("GPU: (%f, %f)" % (conversion_time, conversion_energy))
- return (conversion_time, conversion_energy)
-
-
- def __run_simulations(self):
- if not os.path.isfile(self.__config_filename):
- print("ERROR: %s was not found" % self.__config_filename)
- exit(1)
-
- config_file = open(self.__config_filename, "r")
-
- # each line = indepedent configuration
- # layers are separated by commas
- # tensor ops are separated by spaces
- for config in config_file:
- config_layers = config.strip().split(',')
- prev_layer = Driver.ApproxTypes.FP32
- curr_layer = None
-
- for layer_ind, config_layer in enumerate(config_layers): # level
- layer_data = self.__tensor_layers[layer_ind] # layer
- layer_name = layer_data["Name"]
- if Driver.is_promise(config_layer):
- print("Running layer %s on PROMISE" % layer_name)
- curr_layer = Driver.ApproxTypes.PROMISE
- quant_time, quant_energy = self.__quantize(curr_layer, prev_layer, 0, layer_data)
- # Compute
- time, energy = self.__run_promise_simulation(config_layer, layer_data)
- self.__aggregate_results[Driver.results_time_key][self.__config_count] += time
- self.__aggregate_results[Driver.results_energy_key][self.__config_count] += energy
- else:
- print("Running layer %s on the GPU" % layer_name)
- tensor_ops = config_layer.split(' ')
-
- total_time = 0
- total_energy = 0
- for tensor_ind, tensor_op in enumerate(tensor_ops): # sublevle
- tensor_op = int(tensor_op)
- if tensor_op == Driver.fp16_swing:
- curr_layer = Driver.ApproxTypes.FP16
- else:
- curr_layer = Driver.ApproxTypes.FP32
-
- quant_time, quant_energy = self.__quantize(curr_layer, prev_layer, tensor_ind, layer_data)
- conv_time, conv_energy = self.__run_gpu_simulation(curr_layer, layer_name, tensor_ind)
- total_time += quant_time + conv_time
- total_energy += quant_energy + conv_energy
- prev_layer = curr_layer
-
- self.__aggregate_results[Driver.results_time_key][self.__config_count] += total_time
- self.__aggregate_results[Driver.results_energy_key][self.__config_count] += total_energy
- prev_layer = curr_layer
-
- self.__config_count += 1
- print("\n")
- config_file.close()
-
-
- def __display_results(self):
- results_file = open(self.__results_filename, "w")
- attributes_to_print = [Driver.results_time_key, Driver.results_energy_key]
-
- for attribute in attributes_to_print:
- results_file.write("%s\n" % attribute)
- results_file.write("Configuration,Total,Improvement\n")
-
- baseline_val = self.__aggregate_results[attribute][0]
- print(baseline_val)
- best_config = None
- best_result = None
-
- for config_ind in range(self.__config_count):
- results_file.write("c%d" % config_ind)
- time_or_energy_val = self.__aggregate_results[attribute][config_ind]
-
- # Using repr to keep all decimal digits when writing to file
- results_file.write(",%s" % repr(time_or_energy_val))
- results_file.write(",%s\n" % repr(baseline_val / (time_or_energy_val + 0.0001)))
-
- if not best_result or time_or_energy_val < best_result:
- best_result = time_or_energy_val
- best_config = config_ind
- results_file.write("\nc%d,%s\n\n" % (best_config, repr(self.__aggregate_results[attribute][best_config])))
- results_file.close()
-
-
-if __name__ == "__main__":
- if len(sys.argv) != 5:
- print("Usage: python driver.py <layer info> <tensor info> <configurations> <results file>")
- exit(1)
- Driver(sys.argv[1], sys.argv[2], sys.argv[3], sys.argv[4]).driver()
diff --git a/hpvm/projects/soc_simulator/src/driver_new_config_fp16_repl.py b/hpvm/projects/soc_simulator/src/driver_new_config_fp16_repl.py
deleted file mode 100644
index 9d7f20eecc7dd5ddddabbd261f28a05a7c1530b4..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/src/driver_new_config_fp16_repl.py
+++ /dev/null
@@ -1,523 +0,0 @@
-from collections import defaultdict
-import os
-import subprocess
-import sys
-
-class Driver:
- class PrecisionTypes:
- FP16 = 0
- FP32 = 1
- PROMISE = 2
-
- class ApproxTypes:
- PERF = 3
- SAMP = 4
- REDUCE = 5
-
- results_time_key = "Time"
- results_energy_key = "Energy"
-
-
- def __init__(self, layer_filename, table_filename, config_filename, results_filename):
- self.__layer_filename = layer_filename
- self.__table_filename = table_filename
- self.__config_filename = config_filename
- self.__results_filename = results_filename
-
- # NOTE: Use an OrderedDict if we want to search by operation name
- # Using a list bc we care about the order the data is read in
- # since it corresponds to the data in the configuration file
- self.__tensor_layers = []
-
- # [layer_name][operation_name][cols]
- # Operation names need to be stored in order of insertion
- self.__tensor_table = defaultdict(lambda: list(defaultdict(str)))
-
- self.__conf_results = [] # indexed
- #self.__conf_results = {} # {conf name: (first line, [[layer value if promise], [tensor vals if gpu]])}
-
-
- @staticmethod
- def is_conv(operation_name):
- return operation_name.startswith("Conv")
-
-
- @staticmethod
- def is_nml(operation_name):
- return operation_name.startswith("NML")
-
-
- @staticmethod
- def is_fc(operation_name):
- return operation_name.startswith("FC")
-
-
- # FOR DEBUGGING ONLY
- def __get_str(self, appr):
- if appr == Driver.PrecisionTypes.FP16:
- return "FP16"
- elif appr == Driver.PrecisionTypes.FP32:
- return "FP32"
- elif appr == Driver.PrecisionTypes.PROMISE:
- return "PROMISE"
- elif appr == Driver.ApproxTypes.PERF:
- return "PERF"
- elif appr == Driver.ApproxTypes.SAMP:
- return "SAMP"
- elif appr == Driver.ApproxTypes.REDUCE:
- return "REDUCE"
-
- def driver(self):
- self.__parse_tensor_layer_file()
- self.__parse_tensor_table()
- self.__run_simulations()
- self.__write_output()
-
-
- def __parse_tensor_layer_file(self):
- if not os.path.isfile(self.__layer_filename):
- print("ERROR: %s was not found." % self.__layer_filename)
- exit(1)
- layer_file = open(self.__layer_filename, "r")
- for line in layer_file:
- layer_data = line.strip().split(',')
- layer_name = layer_data[0]
-
- tensor_layer = defaultdict(str)
- tensor_layer["Name"] = layer_name
-
- if Driver.is_conv(layer_name):
- tensor_layer["N"] = float(layer_data[1])
- tensor_layer["Cin"] = float(layer_data[2])
- tensor_layer["H"] = float(layer_data[3])
- tensor_layer["W"] = float(layer_data[4])
- tensor_layer["Cout"] = float(layer_data[5])
- tensor_layer["Kh"] = float(layer_data[7])
- tensor_layer["Kw"] = float(layer_data[8])
- tensor_layer["Sh"] = float(layer_data[9])
- tensor_layer["Sw"] = float(layer_data[10])
-
- elif Driver.is_fc(layer_name):
- tensor_layer["RA"] = float(layer_data[1])
- tensor_layer["CA"] = float(layer_data[2])
- tensor_layer["RB"] = float(layer_data[3])
- tensor_layer["CB"] = float(layer_data[4])
-
- elif not Driver.is_nml(layer_name): # TODO should we store data for NMLs?
- print("ERROR: Invalid layer name %s" % layer_name)
- exit(1)
-
- self.__tensor_layers.append(tensor_layer)
- layer_file.close()
-
-
- def __parse_tensor_table(self):
- if not os.path.isfile(self.__table_filename):
- print("ERROR: %s was not found." % self.__table_filename)
- exit(1)
-
- print ("table_file_name = ", self.__table_filename, " ")
-
- table_file = open(self.__table_filename, "r")
- line = table_file.readline().strip()
-
- while line:
- # Line here MUST be a header or there's a bug
- # Get the description of the layer
- assert(line.startswith("**"))
- header_contents = line.split(' ')[1:]
- layer_name = header_contents[0]
- num_ops = int(header_contents[1])
- col_names = header_contents[2:]
-
- layer_operations = []
-
- # Go through all operations in the layer
- for op_count in range(num_ops):
- operation_data = defaultdict(str)
-
- line = table_file.readline().strip()
- op_data = line.split(' ')
- op_name = op_data[0]
- operation_data["Name"] = op_name
-
- # Number of data items (#s) needs to match up with the # of cols
- assert(len(op_data) - 1 == len(col_names))
-
- # Go through all data items (each col element) per operation
- for i in range(len(col_names)):
- operation_data[col_names[i]] = float(op_data[i + 1])
-
- layer_operations.append(operation_data)
-
- self.__tensor_table[layer_name] = layer_operations
- line = table_file.readline().strip()
- table_file.close()
-
-
- @staticmethod
- def is_promise(layer_hardware):
- return layer_hardware == "promise"
-
- @staticmethod
- def is_gpu(layer_hardware):
- return layer_hardware == "gpu"
-
- def __run_simulations(self):
- config_file = open(self.__config_filename, "r")
- line = config_file.readline().strip()
-
- while line:
- assert(line == "+++++")
- print("CONFIGURATION")
-
- curr_conf_results = []
-
- prev_layer = Driver.PrecisionTypes.FP32
- curr_layer = None
-
- line = config_file.readline().strip()
- first_line = line
- conf_name = line.split(' ')[0]
- print("CONF NAME: %s" % conf_name)
- assert(conf_name.startswith("conf"))
- line = config_file.readline().strip()
-
- while line != "-----":
- layer_as_lst = line.split(' ')
- layer_results = []
- # Skip softmax
- if line.find("softmax") != -1:
- layer_results.append((0, 0, ' '.join(layer_as_lst[2:])))
- curr_conf_results.append((layer_as_lst[1], layer_results))
- line = config_file.readline().strip()
- continue
- layer_ind = int(layer_as_lst[0]) - 1
- layer_table_data = self.__tensor_layers[layer_ind]
- layer_name = layer_table_data["Name"]
-
- if Driver.is_promise(layer_as_lst[1]):
- print("Running layer %s on PROMISE" % layer_name)
- curr_layer = Driver.PrecisionTypes.PROMISE
-
- total_time = 0
- total_energy = 0
-
- # To support multiple sets of <param> <number> in the future
- for i in range(2, len(layer_as_lst), 2):
- param_name = layer_as_lst[i] # Use when there's more than 1 type of param
- param_val = int(layer_as_lst[i + 1])
- time, energy = self.__run_promise_simulation(param_val, layer_table_data)
- total_time += time
- total_energy += energy
- print("Curr promise: ", time, energy)
- print("Total promise: ", total_time, total_energy)
- layer_results.append((total_time, total_energy, ' '.join(layer_as_lst[2:])))
-
- elif Driver.is_gpu(layer_as_lst[1]):
- print("Running layer %s on the GPU" % layer_name)
-
- tensor_count = 0
-
- # 3 elements per tensor operation
- for i in range(2, len(layer_as_lst), 3):
- op_type = layer_as_lst[i]
- precision_type = layer_as_lst[i + 1]
- op_number = layer_as_lst[i + 2]
- #print(' '.join(layer_as_lst[i : i + 3]))
-
- approx_type = None
- if line.find("fp16") != -1:
- curr_layer = Driver.PrecisionTypes.FP16
- elif line.find("fp32") != -1:
- curr_layer = Driver.PrecisionTypes.FP32
- if precision_type == "perf" or precision_type == "samp" or precision_type == "reduce": # Handle approx type
- if precision_type == "perf":
- approx_type = Driver.ApproxTypes.PERF
- elif precision_type == "samp":
- approx_type = Driver.ApproxTypes.SAMP
- elif precision_type == "reduce":
- approx_type = Driver.ApproxTypes.REDUCE
- curr_layer = Driver.PrecisionTypes.FP16
- quant_time, quant_energy = self.__quantize(precision_type, op_number, curr_layer, prev_layer, tensor_count, layer_table_data)
- if quant_time != 0:
- assert i == 2 #and layer_ind == 0
- conv_time, conv_energy = self.__run_gpu_simulation(curr_layer, layer_name, \
- tensor_count, approx_type, op_number)
- print(quant_time, conv_time)
- layer_results.append((quant_time + conv_time, quant_energy + conv_energy, ' '.join(layer_as_lst[i : i + 3])))
- prev_layer = curr_layer
- tensor_count += 1
- line = config_file.readline().strip()
- prev_layer = curr_layer
- curr_conf_results.append((layer_as_lst[1], layer_results))
-
- if not self.__conf_results: # we're appending the baseline
- # need to find the fp16 baseline
- self.fp16_baseline = []
-
- prev_layer = Driver.PrecisionTypes.FP32
- curr_layer = None
-
- has_quantized = False
- for layer_ind, (hardware, layer) in enumerate(curr_conf_results):
- if layer[0][2].find("softmax") != -1: continue
- fp16_layer = []
- layer_table_data = self.__tensor_layers[layer_ind]
- layer_name = layer_table_data["Name"]
-
- for tensor_ind, (op_time, op_energy, tensor_op) in enumerate(layer):
- curr_layer = Driver.PrecisionTypes.FP16 # always
-
- quant_time, quant_energy = self.__quantize("fp16", "1", curr_layer, prev_layer, tensor_ind, layer_table_data)
- if quant_time != 0:
- assert not has_quantized
- has_quantized = True
- tensor_info = self.__tensor_table[layer_name][tensor_ind]
-
- if "fp16_time" not in tensor_info or "fp16_energy" not in tensor_info:
- print("\n\n ERROR: NO FP16_time and/or enegy in Profile data table .. \n\n Aborting....\n")
- sys.exit(1)
-
- fp16_time = tensor_info["fp16_time"] + quant_time
- fp16_energy = tensor_info["fp16_energy"] + quant_energy
- fp16_layer.append((fp16_time, fp16_energy, tensor_op.replace("fp32", "fp16")))
- prev_layer = curr_layer
-
- prev_layer = curr_layer
- self.fp16_baseline.append((hardware, fp16_layer))
- self.__conf_results.append( (first_line, curr_conf_results) )
- line = config_file.readline().strip()
- config_file.close()
-
-
- def __quantize(self, precision_type, op_number, curr_layer, prev_layer, h2f_f2h_operation_ind, layer_data):
- if curr_layer == prev_layer or curr_layer == Driver.PrecisionTypes.PROMISE \
- or prev_layer == Driver.PrecisionTypes.PROMISE:
- return 0.0, 0.0
- layer_name = layer_data["Name"]
- print("QUANTIZATION")
- print(precision_type, op_number, self.__get_str(curr_layer), self.__get_str(prev_layer), h2f_f2h_operation_ind, layer_data)
- # NOTE: Ignoring logic where curr == promise or prev == promise bc
- # smartDMA is always true so we'd return near the beginning of the method
-
- # Get h2f/f2h data using the first tensor operation in the layer
- # (which is why order matters in the tensor table)
- tensor_op_row = self.__tensor_table[layer_name][h2f_f2h_operation_ind]
- time_key = None
- energy_key = None
-
- if op_number == "1":
- lookup_key = "_" #lookup_key = precision_type
- else:
- lookup_key = "_" + precision_type + str(op_number) + "_"
-
- if curr_layer == Driver.PrecisionTypes.FP32:
- time_key = "h2f%stime" % lookup_key
- energy_key = "h2f%senergy" % lookup_key
- elif curr_layer == Driver.PrecisionTypes.FP16:
- time_key = "f2h%stime" % lookup_key
- energy_key = "f2h%senergy" % lookup_key
- print(tensor_op_row)
- time = tensor_op_row[time_key]
- energy = tensor_op_row[energy_key]
- print(time_key, energy_key)
- return (time, energy)
-
-
- def __run_promise_simulation(self, swing, layer_data):
- layer_name = layer_data["Name"]
- patch_factor = 1
-
- if Driver.is_conv(layer_name):
- rows_a = layer_data["N"] * layer_data["H"] * layer_data["W"] \
- / (layer_data["Sh"] * layer_data["Sw"])
- cols_a = layer_data["Cin"] * layer_data["Kh"] * layer_data["Kw"]
- rows_b = cols_a
- cols_b = layer_data["Cout"]
- patch_factor = layer_data["Kh"] * layer_data["Kw"]
- elif Driver.is_fc(layer_name):
- rows_a = layer_data["RA"]
- cols_a = layer_data["CA"]
- rows_b = layer_data["RB"]
- cols_b = layer_data["CB"]
- else:
- print("PROMISE can't run whatever this layer is.")
- exit(1)
- # Run promise simulator
- # TODO need to print time and energy in the ptm runner so we can pipe it
- output = subprocess.Popen(["./ptm_new", str(rows_a), str(cols_a), str(rows_b), \
- str(cols_b), str(patch_factor), str(swing)], \
- stdout = subprocess.PIPE, stderr = subprocess.PIPE).communicate()[0]
- total_time_energy = output.strip().split(',')
-
- assert(len(total_time_energy) == 2)
- return float(total_time_energy[0]), float(total_time_energy[1])
-
-
- def __run_gpu_simulation(self, curr_layer, layer_name, tensor_ind, \
- approx_type = None, knob_number = None):
- tensor_info = self.__tensor_table[layer_name][tensor_ind]
- time_key = None
- energy_key = None
-
- if approx_type == Driver.ApproxTypes.PERF or approx_type == Driver.ApproxTypes.SAMP or approx_type == Driver.ApproxTypes.REDUCE: # fp16_perf2_energy
- approx_type_str = None
- if approx_type == Driver.ApproxTypes.PERF:
- approx_type_str = "perf"
- elif approx_type == Driver.ApproxTypes.SAMP:
- approx_type_str = "samp"
- elif approx_type == Driver.ApproxTypes.REDUCE:
- approx_type_str = "reduce"
-
- if curr_layer == Driver.PrecisionTypes.FP32:
- time_key = "fp32_%s%s_time" % (approx_type_str, knob_number)
- energy_key = "fp32_%s%s_energy" % (approx_type_str, knob_number)
-
- elif curr_layer == Driver.PrecisionTypes.FP16:
- time_key = "fp16_%s%s_time" % (approx_type_str, knob_number)
- energy_key = "fp16_%s%s_energy" % (approx_type_str, knob_number)
-
- else: # None for now
- if curr_layer == Driver.PrecisionTypes.FP32:
- time_key = "fp32_time"
- energy_key = "fp32_energy"
-
- elif curr_layer == Driver.PrecisionTypes.FP16:
- time_key = "fp16_time"
- energy_key = "fp16_energy"
- #print(time_key, energy_key)
- conversion_time = tensor_info[time_key]
- conversion_energy = tensor_info[energy_key]
- #print("GPU: (%f, %f)\n" % (conversion_time, conversion_energy))
- return conversion_time, conversion_energy
-
-
- def __write_output(self):
- config_file = open(self.__config_filename, "r")
- results_file = open(self.__results_filename, "w")
-
- def write_conf_to_file(conf_name, final_conf, time_speedup, energy_speedup):
- # conf = [layer value if promise], [tensor vals if gpu]]
- conf_str = ["+++++"]
-
- # process the first line
- first_line, layers = final_conf
- first_line_lst = first_line.split(' ')
- assert first_line_lst[0] == conf_name
-
- new_header = [conf_name]
- new_header.append(repr(time_speedup))
- new_header.append(repr(energy_speedup))
- new_header.append(repr(abs(float(first_line_lst[-2]))))
- new_header.append(repr(abs(float(first_line_lst[-1]))))
- conf_str.append(' '.join(new_header))
-
- for ind, (hardware, layer) in enumerate(layers):
- layer_lst = [str(ind + 1)]
- layer_lst.append(hardware)
- for op_time, op_energy, tensor_op in layer:
- layer_lst.append(tensor_op)
- conf_str.append(' '.join(layer_lst))
- conf_str.append("-----\n")
- results_file.write('\n'.join(conf_str))
-
- fp32_baseline_conf = None
- baseline_total_time = baseline_total_energy = 0
-
- def get_baseline_times_energies(conf):
- curr_time = curr_energy = 0
- for hardware, layer in conf[1]:
- for op_time, op_energy, tensor_op in layer:
- curr_time += op_time
- curr_energy += op_energy
- return curr_time, curr_energy
-
- def get_final_times_energies_conf(curr_conf, curr_conf_name):
- final_time = final_energy = 0
-
- final_conf = [] # List (conf) of lists (layers) of tuples (operation data)
-
- #for hardware, layer in self.fp16_baseline:
- #print(hardware, layer)
- for layer_ind, (hardware, layer) in enumerate(curr_conf[1]):
- final_conf_layer = []
-
- for tensor_ind, (op_time, op_energy, tensor_op) in enumerate(layer):
- if tensor_op.find("softmax") != -1:
- final_conf_layer.append((None, None, tensor_op))
- continue
- # layer name, operation name, val name
- if tensor_op.find("promise") != -1: # compute sum of entire fp16 baseline layer
- baseline_time = 0
- baseline_energy = 0
- baseline_op = []
-
- if tensor_op.find("fp32") != -1:
- assert False
- baseline_layer = fp32_baseline_conf[layer_ind][1]
- else:
- baseline_layer = self.fp16_baseline[layer_ind][1]
-
- for op_time, op_energy, tensor_op in baseline_layer:
- baseline_time += op_time
- baseline_energy += op_energy
- baseline_op.append(tensor_op)
- else: # look at the individual tensor operation as before
- if tensor_op.find("fp32") != -1:
- assert False
- baseline_layer = fp32_baseline_conf[1][layer_ind]
- else:
- baseline_layer = self.fp16_baseline[layer_ind][1]
- baseline_time = baseline_layer[tensor_ind][0]
- baseline_energy = baseline_layer[tensor_ind][1]
- baseline_op = baseline_layer[tensor_ind][2]
-
- final_tensor_op = tensor_op
- if op_time > baseline_time:
- print("**************** BIGGER ******************")
- print(curr_conf_name)
- print(baseline_time, baseline_energy, baseline_op, layer_ind)
- print(op_time, tensor_op, layer_ind)
- final_time += baseline_time
- final_energy += baseline_energy
- final_tensor_op = baseline_op
- else:
- print("**************** SMALLER ******************")
- print(curr_conf_name)
- print(baseline_time, baseline_energy, baseline_op, layer_ind)
- print(op_time, tensor_op, layer_ind)
- final_time += op_time
- final_energy += op_energy
-
- final_conf_layer.append((None, None, final_tensor_op)) # Don't care about the times and energies when writing
- final_conf.append((hardware, final_conf_layer))
- #print("\n")
- return final_time, final_energy, (curr_conf[0], final_conf)
-
- conf_index = 0
- print("RESULTS")
- for line in config_file:
- if line.startswith("conf"):
- orig_line_lst = line.split(' ')
- conf_name = orig_line_lst[0]
-
- if not fp32_baseline_conf:
- fp32_baseline_conf = self.__conf_results[conf_index] #conf_name]
- baseline_total_time, baseline_total_energy = get_baseline_times_energies(fp32_baseline_conf)
- results_file.write("%s\n" % repr(baseline_total_time))
- write_conf_to_file(conf_name, fp32_baseline_conf, 1, 1)
- else:
- curr_conf = self.__conf_results[conf_index] #conf_name]
- final_time, final_energy, curr_conf = get_final_times_energies_conf(curr_conf, conf_name)
- print("Baseline time: %f, final time: %f, baseline energy: %f, final energy: %f, rations: %f %f " % (baseline_total_time, final_time, baseline_total_energy, final_energy, baseline_total_time / final_time, baseline_total_energy / final_energy))
- write_conf_to_file(conf_name, curr_conf, baseline_total_time / final_time, baseline_total_energy / final_energy)
- conf_index += 1
- results_file.close()
- config_file.close()
-
-if __name__ == "__main__":
- if len(sys.argv) != 5:
- print("Usage: python driver.py <layer info> <tensor info> <configurations> <results file>")
- exit(1)
- Driver(sys.argv[1], sys.argv[2], sys.argv[3], sys.argv[4]).driver()
diff --git a/hpvm/projects/soc_simulator/src/driver_new_config_no_fp16_repl.py b/hpvm/projects/soc_simulator/src/driver_new_config_no_fp16_repl.py
deleted file mode 100644
index d12477fd77533f94ff067e05771459ff4c830bb8..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/src/driver_new_config_no_fp16_repl.py
+++ /dev/null
@@ -1,464 +0,0 @@
-from collections import defaultdict
-import os
-import subprocess
-import sys
-
-class Driver:
- fp16_swing = 8
-
- class PrecisionTypes:
- FP16 = 0
- FP32 = 1
- PROMISE = 2
-
- class ApproxTypes:
- PERF = 3
- SAMP = 4
-
- results_time_key = "Time"
- results_energy_key = "Energy"
-
-
- def __init__(self, layer_filename, table_filename, config_filename, results_filename):
- self.__layer_filename = layer_filename
- self.__table_filename = table_filename
- self.__config_filename = config_filename
- self.__results_filename = results_filename
-
- # NOTE: Use an OrderedDict if we want to search by operation name
- # Using a list bc we care about the order the data is read in
- # since it corresponds to the data in the configuration file
- self.__tensor_layers = []
-
- # [layer_name][operation_name][cols]
- # Operation names need to be stored in order of insertion
- self.__tensor_table = defaultdict(lambda: list(defaultdict(str)))
-
- self.__conf_results = [] # indexed
- #self.__conf_results = {} # {conf name: (first line, [[layer value if promise], [tensor vals if gpu]])}
-
-
- @staticmethod
- def is_conv(operation_name):
- return operation_name.startswith("Conv")
-
-
- @staticmethod
- def is_nml(operation_name):
- return operation_name.startswith("NML")
-
-
- @staticmethod
- def is_fc(operation_name):
- return operation_name.startswith("FC")
-
-
- # FOR DEBUGGING ONLY
- def __get_str(self, appr):
- if appr == Driver.PrecisionTypes.FP16:
- return "FP16"
- elif appr == Driver.PrecisionTypes.FP32:
- return "FP32"
- elif appr == Driver.PrecisionTypes.PROMISE:
- return "PROMISE"
- elif appr == Driver.ApproxTypes.PERF:
- return "PERF"
- elif appr == Driver.ApproxTypes.SAMP:
- return "SAMP"
-
-
- def driver(self):
- self.__parse_tensor_layer_file()
- self.__parse_tensor_table()
- self.__run_simulations()
- self.__write_output()
-
-
- def __parse_tensor_layer_file(self):
- if not os.path.isfile(self.__layer_filename):
- print("ERROR: %s was not found." % self.__layer_filename)
- exit(1)
- layer_file = open(self.__layer_filename, "r")
- for line in layer_file:
- layer_data = line.strip().split(',')
- layer_name = layer_data[0]
-
- tensor_layer = defaultdict(str)
- tensor_layer["Name"] = layer_name
-
- if Driver.is_conv(layer_name):
- tensor_layer["N"] = float(layer_data[1])
- tensor_layer["Cin"] = float(layer_data[2])
- tensor_layer["H"] = float(layer_data[3])
- tensor_layer["W"] = float(layer_data[4])
- tensor_layer["Cout"] = float(layer_data[5])
- tensor_layer["Kh"] = float(layer_data[7])
- tensor_layer["Kw"] = float(layer_data[8])
- tensor_layer["Sh"] = float(layer_data[9])
- tensor_layer["Sw"] = float(layer_data[10])
-
- elif Driver.is_fc(layer_name):
- tensor_layer["RA"] = float(layer_data[1])
- tensor_layer["CA"] = float(layer_data[2])
- tensor_layer["RB"] = float(layer_data[3])
- tensor_layer["CB"] = float(layer_data[4])
-
- elif not Driver.is_nml(layer_name): # TODO should we store data for NMLs?
- print("ERROR: Invalid layer name %s" % layer_name)
- exit(1)
-
- self.__tensor_layers.append(tensor_layer)
- layer_file.close()
-
-
- def __parse_tensor_table(self):
- if not os.path.isfile(self.__table_filename):
- print("ERROR: %s was not found." % self.__table_filename)
- exit(1)
- table_file = open(self.__table_filename, "r")
- line = table_file.readline().strip()
-
- while line:
- # Line here MUST be a header or there's a bug
- # Get the description of the layer
- assert(line.startswith("**"))
- header_contents = line.split(' ')[1:]
- layer_name = header_contents[0]
- num_ops = int(header_contents[1])
- col_names = header_contents[2:]
-
- layer_operations = []
-
- # Go through all operations in the layer
- for op_count in range(num_ops):
- operation_data = defaultdict(str)
-
- line = table_file.readline().strip()
- op_data = line.split(' ')
- op_name = op_data[0]
- operation_data["Name"] = op_name
-
- # Number of data items (#s) needs to match up with the # of cols
- assert(len(op_data) - 1 == len(col_names))
-
- # Go through all data items (each col element) per operation
- for i in range(len(col_names)):
- operation_data[col_names[i]] = float(op_data[i + 1])
-
- layer_operations.append(operation_data)
-
- self.__tensor_table[layer_name] = layer_operations
- line = table_file.readline().strip()
- table_file.close()
-
-
- @staticmethod
- def is_promise(layer_hardware):
- return layer_hardware == "promise"
-
- @staticmethod
- def is_gpu(layer_hardware):
- return layer_hardware == "gpu"
-
- def __run_simulations(self):
- config_file = open(self.__config_filename, "r")
- line = config_file.readline().strip()
-
- while line:
- assert(line == "+++++")
- print("CONFIGURATION")
-
- curr_conf_results = []
-
- prev_layer = Driver.PrecisionTypes.FP32
- curr_layer = None
-
- line = config_file.readline().strip()
- first_line = line
- conf_name = line.split(' ')[0]
- print("CONF NAME: %s" % conf_name)
- assert(conf_name.startswith("conf"))
- line = config_file.readline().strip()
-
- while line != "-----":
- layer_as_lst = line.split(' ')
- layer_results = []
- # Skip softmax
- if line.find("softmax") != -1:
- layer_results.append((0, 0, ' '.join(layer_as_lst[2:])))
- curr_conf_results.append((layer_as_lst[1], layer_results))
- line = config_file.readline().strip()
- continue
-
- layer_ind = int(layer_as_lst[0]) - 1
- layer_table_data = self.__tensor_layers[layer_ind]
- layer_name = layer_table_data["Name"]
-
- if Driver.is_promise(layer_as_lst[1]):
- print("Running layer %s on PROMISE" % layer_name)
- curr_layer = Driver.PrecisionTypes.PROMISE
-
- total_time = 0
- total_energy = 0
-
- # To support multiple sets of <param> <number> in the future
- for i in range(2, len(layer_as_lst), 2):
- param_name = layer_as_lst[i] # Use when there's more than 1 type of param
- param_val = int(layer_as_lst[i + 1])
- time, energy = self.__run_promise_simulation(param_val, layer_table_data)
- total_time += time
- total_energy += energy
- layer_results.append((total_time, total_energy, ' '.join(layer_as_lst[2:])))
-
- elif Driver.is_gpu(layer_as_lst[1]):
- print("Running layer %s on the GPU" % layer_name)
-
- tensor_count = 0
-
- # 3 elements per tensor operation
- for i in range(2, len(layer_as_lst), 3):
- op_type = layer_as_lst[i]
- precision_type = layer_as_lst[i + 1]
- op_number = layer_as_lst[i + 2]
-
- approx_type = None
- if line.find("fp16") != -1:
- curr_layer = Driver.PrecisionTypes.FP16
- elif line.find("fp32") != -1:
- curr_layer = Driver.PrecisionTypes.FP32
-
- if precision_type == "perf" or precision_type == "samp": # Handle approx type
- if precision_type == "perf":
- approx_type = Driver.ApproxTypes.PERF
- elif precision_type == "samp":
- approx_type = Driver.ApproxTypes.SAMP
- if line.find("fp16") != -1:
- curr_layer = Driver.PrecisionTypes.FP16
- elif line.find("fp32") != -1:
- curr_layer = Driver.PrecisionTypes.FP32
- quant_time, quant_energy = self.__quantize(op_type, precision_type, op_number, curr_layer, prev_layer, \
- tensor_count, layer_table_data)
- if quant_time != 0:
- assert i == 2
- conv_time, conv_energy = self.__run_gpu_simulation(curr_layer, layer_name, \
- tensor_count, approx_type, op_number)
- print(quant_time, quant_energy, conv_time, conv_energy)
- layer_results.append((quant_time + conv_time, quant_energy + conv_energy, ' '.join(layer_as_lst[i : i + 3])))
- prev_layer = curr_layer
- tensor_count += 1
-
- line = config_file.readline().strip()
- prev_layer = curr_layer
- curr_conf_results.append((layer_as_lst[1], layer_results))
-
- self.__conf_results.append( (first_line, curr_conf_results) )
- line = config_file.readline().strip()
- config_file.close()
-
-
- def __quantize(self, op_type, precision_type, op_number, curr_layer, prev_layer, h2f_f2h_operation_ind, layer_data):
- if curr_layer == prev_layer or curr_layer == Driver.PrecisionTypes.PROMISE \
- or prev_layer == Driver.PrecisionTypes.PROMISE:
- return 0.0, 0.0
- print("IN QUANTIZE")
- layer_name = layer_data["Name"]
-
- # NOTE: Ignoring logic where curr == promise or prev == promise bc
- # smartDMA is always true so we'd return near the beginning of the method
-
- # Get h2f/f2h data using the first tensor operation in the layer
- # (which is why order matters in the tensor table)
- tensor_op_row = self.__tensor_table[layer_name][h2f_f2h_operation_ind]
- time_key = None
- energy_key = None
-
- print(precision_type, op_number)
- if op_number == "1":
- lookup_key = "_" #lookup_key = precision_type
- else:
- lookup_key = "_" + precision_type + str(op_number) + "_"
-
- print("QUANT LOOKUP KEY", lookup_key)
- if curr_layer == Driver.PrecisionTypes.FP32:
- time_key = "h2f%stime" % lookup_key
- energy_key = "h2f%senergy" % lookup_key
- elif curr_layer == Driver.PrecisionTypes.FP16:
- time_key = "f2h%stime" % lookup_key
- energy_key = "f2h%senergy" % lookup_key
- print(time_key, energy_key)
- time = tensor_op_row[time_key]
- energy = tensor_op_row[energy_key]
- print("Quantization: (%f, %f)" % (time, energy))
- return (time, energy)
-
-
- def __run_promise_simulation(self, swing, layer_data):
- layer_name = layer_data["Name"]
- patch_factor = 1
-
- if Driver.is_conv(layer_name):
- rows_a = layer_data["N"] * layer_data["H"] * layer_data["W"] \
- / (layer_data["Sh"] * layer_data["Sw"])
- cols_a = layer_data["Cin"] * layer_data["Kh"] * layer_data["Kw"]
- rows_b = cols_a
- cols_b = layer_data["Cout"]
- patch_factor = layer_data["Kh"] * layer_data["Kw"]
- elif Driver.is_fc(layer_name):
- rows_a = layer_data["RA"]
- cols_a = layer_data["CA"]
- rows_b = cols_
- cols_b = layer_data["CB"]
- else:
- print("PROMISE can't run whatever this layer is.")
- exit(1)
- # Run promise simulator
- # TODO need to print time and energy in the ptm runner so we can pipe it
- output = subprocess.Popen(["./ptm_new", str(rows_a), str(cols_a), str(rows_b), \
- str(cols_b), str(patch_factor), str(swing)], \
- stdout = subprocess.PIPE, stderr = subprocess.PIPE).communicate()[0]
- total_time_energy = output.strip().split(',')
-
- assert(len(total_time_energy) == 2)
- return float(total_time_energy[0]), float(total_time_energy[1])
-
-
- def __run_gpu_simulation(self, curr_layer, layer_name, tensor_ind, \
- approx_type = None, knob_number = None):
- tensor_info = self.__tensor_table[layer_name][tensor_ind]
- #print(tensor_info)
- #print(layer_name)
- #print(tensor_ind)
- time_key = None
- energy_key = None
-
- if approx_type == Driver.ApproxTypes.PERF or approx_type == Driver.ApproxTypes.SAMP: # fp16_perf2_energy
- approx_type_str = None
- if approx_type == Driver.ApproxTypes.PERF:
- approx_type_str = "perf"
- elif approx_type == Driver.ApproxTypes.SAMP:
- approx_type_str = "samp"
-
- if curr_layer == Driver.PrecisionTypes.FP32:
- time_key = "fp32_%s%s_time" % (approx_type_str, knob_number)
- energy_key = "fp32_%s%s_energy" % (approx_type_str, knob_number)
-
- elif curr_layer == Driver.PrecisionTypes.FP16:
- time_key = "fp16_%s%s_time" % (approx_type_str, knob_number)
- energy_key = "fp16_%s%s_energy" % (approx_type_str, knob_number)
-
- else: # None for now
- if curr_layer == Driver.PrecisionTypes.FP32:
- time_key = "fp32_time"
- energy_key = "fp32_energy"
-
- elif curr_layer == Driver.PrecisionTypes.FP16:
- time_key = "fp16_time"
- energy_key = "fp16_energy"
- print(time_key, energy_key)
- conversion_time = tensor_info[time_key]
- conversion_energy = tensor_info[energy_key]
- #print("GPU: (%f, %f)\n" % (conversion_time, conversion_energy))
- return conversion_time, conversion_energy
-
-
- def __write_output(self):
- config_file = open(self.__config_filename, "r")
- results_file = open(self.__results_filename, "w")
-
- def write_conf_to_file(conf_name, final_conf, time_speedup, energy_speedup):
- # conf = [layer value if promise], [tensor vals if gpu]]
- conf_str = ["+++++"]
-
- # process the first line
- first_line, layers = final_conf
- first_line_lst = first_line.split(' ')
- assert first_line_lst[0] == conf_name
-
- new_header = [conf_name]
- new_header.append(repr(time_speedup))
- new_header.append(repr(energy_speedup))
- new_header.append(repr(abs(float(first_line_lst[-2]))))
- new_header.append(repr(abs(float(first_line_lst[-1]))))
- conf_str.append(' '.join(new_header))
-
- for ind, (hardware, layer) in enumerate(layers):
- print(layer)
- layer_lst = [str(ind + 1)]
- layer_lst.append(hardware)
- print(layer_lst)
- for op_time, op_energy, tensor_op in layer:
- layer_lst.append(tensor_op)
- conf_str.append(' '.join(layer_lst))
- conf_str.append("-----\n")
- results_file.write('\n'.join(conf_str))
-
- baseline_conf = None
- baseline_total_time = baseline_total_energy = 0
-
- def get_baseline_times_energies(conf):
- curr_time = curr_energy = 0
- print("RESULTS: ", conf[1])
- for hardware, layer in conf[1]:
- for op_time, op_energy, tensor_op in layer:
- curr_time += op_time
- curr_energy += op_energy
- return curr_time, curr_energy
-
- def get_final_times_energies_conf(curr_conf):
- final_time = final_energy = 0
-
- final_conf = [] # List (conf) of lists (layers) of tuples (operation data)
-
- for layer_ind, (hardware, layer) in enumerate(curr_conf[1]):
- final_conf_layer = []
-
- for tensor_ind, (op_time, op_energy, tensor_op) in enumerate(layer):
- baseline_time, baseline_energy, baseline_op = baseline_conf[1][layer_ind][tensor_ind]
- final_tensor_op = tensor_op
- if op_time > baseline_time:
- print("**************** BIGGER ******************")
- final_time += baseline_time
- final_energy += baseline_energy
- final_tensor_op = baseline_op
- else:
- final_time += op_time
- final_energy += op_energy
- '''
- # Ignoring bigger energies for now
- if op_energy > baseline_energy:
- final_time += baseline_energy
- final_energy += baseline_energy
- final_tensor_op = baseline_op
- else:
- final_time += op_time
- final_energy += op_energy
- '''
- final_conf_layer.append((None, None, final_tensor_op)) # Don't care about the times and energies when writing
- final_conf.append(final_conf_layer)
- return final_time, final_energy, (curr_conf[0], final_conf)
-
- conf_index = 0
- print("RESULTS")
- for line in config_file:
- if line.startswith("conf"):
- orig_line_lst = line.split(' ')
- conf_name = orig_line_lst[0]
-
- if not baseline_conf:
- baseline_conf = self.__conf_results[conf_index] #conf_name]
- baseline_total_time, baseline_total_energy = get_baseline_times_energies(baseline_conf)
- results_file.write("%s\n" % repr(baseline_total_time))
- write_conf_to_file(conf_name, baseline_conf, 1, 1)
- else:
- curr_conf = self.__conf_results[conf_index] #conf_name]
- final_time, final_energy = get_baseline_times_energies(curr_conf)
- write_conf_to_file(conf_name, curr_conf, baseline_total_time / final_time, baseline_total_energy / final_energy)
- conf_index += 1
- results_file.close()
- config_file.close()
-
-if __name__ == "__main__":
- if len(sys.argv) != 5:
- print("Usage: python driver.py <layer info> <tensor info> <configurations> <results file>")
- exit(1)
- Driver(sys.argv[1], sys.argv[2], sys.argv[3], sys.argv[4]).driver()
diff --git a/hpvm/projects/soc_simulator/src/ext_test b/hpvm/projects/soc_simulator/src/ext_test
deleted file mode 100755
index 5c120650ec8efd65d57d15ea93092c80463b6e28..0000000000000000000000000000000000000000
Binary files a/hpvm/projects/soc_simulator/src/ext_test and /dev/null differ
diff --git a/hpvm/projects/soc_simulator/src/fp16_emu.cpp b/hpvm/projects/soc_simulator/src/fp16_emu.cpp
deleted file mode 100644
index 81a541f31f7ce97d992181448c0174fbf032f7cb..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/src/fp16_emu.cpp
+++ /dev/null
@@ -1,147 +0,0 @@
-/*
- * Copyright 1993-2014 NVIDIA Corporation. All rights reserved.
- *
- * NOTICE TO LICENSEE:
- *
- * This source code and/or documentation ("Licensed Deliverables") are
- * subject to NVIDIA intellectual property rights under U.S. and
- * international Copyright laws.
- *
- * These Licensed Deliverables contained herein is PROPRIETARY and
- * CONFIDENTIAL to NVIDIA and is being provided under the terms and
- * conditions of a form of NVIDIA software license agreement by and
- * between NVIDIA and Licensee ("License Agreement") or electronically
- * accepted by Licensee. Notwithstanding any terms or conditions to
- * the contrary in the License Agreement, reproduction or disclosure
- * of the Licensed Deliverables to any third party without the express
- * written consent of NVIDIA is prohibited.
- *
- * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
- * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE
- * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE. IT IS
- * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND.
- * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED
- * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY,
- * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
- * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
- * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY
- * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY
- * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
- * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
- * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE
- * OF THESE LICENSED DELIVERABLES.
- *
- * U.S. Government End Users. These Licensed Deliverables are a
- * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT
- * 1995), consisting of "commercial computer software" and "commercial
- * computer software documentation" as such terms are used in 48
- * C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government
- * only as a commercial end item. Consistent with 48 C.F.R.12.212 and
- * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all
- * U.S. Government End Users acquire the Licensed Deliverables with
- * only those rights set forth herein.
- *
- * Any use of the Licensed Deliverables in individual and commercial
- * software must include, in the user documentation and internal
- * comments to the code, the above Disclaimer and U.S. Government End
- * Users Notice.
- */
-
-#include "fp16_emu.h"
-
-#define STATIC_ASSERT(cond) do { typedef char compile_time_assert[(cond) ? 1 : -1]; } while (0)
-
-// Host functions for converting between FP32 and FP16 formats
-// Paulius Micikevicius (pauliusm@nvidia.com)
-
-half1 cpu_float2half_rn(float f)
-{
- unsigned x = *((int*)(void*)(&f));
- unsigned u = (x & 0x7fffffff), remainder, shift, lsb, lsb_s1, lsb_m1;
- unsigned sign, exponent, mantissa;
-
- __half_raw hr;
-
- // Get rid of +NaN/-NaN case first.
- if (u > 0x7f800000) {
- hr.x = 0x7fffU;
- return reinterpret_cast<half1&>(hr);
- }
-
- sign = ((x >> 16) & 0x8000);
-
- // Get rid of +Inf/-Inf, +0/-0.
- if (u > 0x477fefff) {
- hr.x = sign | 0x7c00U;
- return reinterpret_cast<half1&>(hr);
- }
- if (u < 0x33000001) {
- hr.x = sign | 0x0000U;
- return reinterpret_cast<half1&>(hr);
- }
-
- exponent = ((u >> 23) & 0xff);
- mantissa = (u & 0x7fffff);
-
- if (exponent > 0x70) {
- shift = 13;
- exponent -= 0x70;
- } else {
- shift = 0x7e - exponent;
- exponent = 0;
- mantissa |= 0x800000;
- }
- lsb = (1 << shift);
- lsb_s1 = (lsb >> 1);
- lsb_m1 = (lsb - 1);
-
- // Round to nearest even.
- remainder = (mantissa & lsb_m1);
- mantissa >>= shift;
- if (remainder > lsb_s1 || (remainder == lsb_s1 && (mantissa & 0x1))) {
- ++mantissa;
- if (!(mantissa & 0x3ff)) {
- ++exponent;
- mantissa = 0;
- }
- }
-
- hr.x = (sign | (exponent << 10) | mantissa);
-
- return reinterpret_cast<half1&>(hr);
-}
-
-
-float cpu_half2float(half1 h)
-{
- STATIC_ASSERT(sizeof(int) == sizeof(float));
-
- __half_raw hr = reinterpret_cast<__half_raw&>(h);
-
- unsigned sign = ((hr.x >> 15) & 1);
- unsigned exponent = ((hr.x >> 10) & 0x1f);
- unsigned mantissa = ((hr.x & 0x3ff) << 13);
-
- if (exponent == 0x1f) { /* NaN or Inf */
- mantissa = (mantissa ? (sign = 0, 0x7fffff) : 0);
- exponent = 0xff;
- } else if (!exponent) { /* Denorm or Zero */
- if (mantissa) {
- unsigned int msb;
- exponent = 0x71;
- do {
- msb = (mantissa & 0x400000);
- mantissa <<= 1; /* normalize */
- --exponent;
- } while (!msb);
- mantissa &= 0x7fffff; /* 1.mantissa is implicit */
- }
- } else {
- exponent += 0x70;
- }
-
- int temp = ((sign << 31) | (exponent << 23) | mantissa);
-
- return reinterpret_cast<float&>(temp);
-}
-
diff --git a/hpvm/projects/soc_simulator/src/fp16_emu.h b/hpvm/projects/soc_simulator/src/fp16_emu.h
deleted file mode 100644
index 8aef176b92e9d598e117a61098532e2190cf2554..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/src/fp16_emu.h
+++ /dev/null
@@ -1,157 +0,0 @@
-/*
- * Copyright 1993-2014 NVIDIA Corporation. All rights reserved.
- *
- * NOTICE TO LICENSEE:
- *
- * This source code and/or documentation ("Licensed Deliverables") are
- * subject to NVIDIA intellectual property rights under U.S. and
- * international Copyright laws.
- *
- * These Licensed Deliverables contained herein is PROPRIETARY and
- * CONFIDENTIAL to NVIDIA and is being provided under the terms and
- * conditions of a form of NVIDIA software license agreement by and
- * between NVIDIA and Licensee ("License Agreement") or electronically
- * accepted by Licensee. Notwithstanding any terms or conditions to
- * the contrary in the License Agreement, reproduction or disclosure
- * of the Licensed Deliverables to any third party without the express
- * written consent of NVIDIA is prohibited.
- *
- * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
- * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE
- * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE. IT IS
- * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND.
- * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED
- * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY,
- * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
- * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
- * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY
- * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY
- * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
- * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
- * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE
- * OF THESE LICENSED DELIVERABLES.
- *
- * U.S. Government End Users. These Licensed Deliverables are a
- * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT
- * 1995), consisting of "commercial computer software" and "commercial
- * computer software documentation" as such terms are used in 48
- * C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government
- * only as a commercial end item. Consistent with 48 C.F.R.12.212 and
- * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all
- * U.S. Government End Users acquire the Licensed Deliverables with
- * only those rights set forth herein.
- *
- * Any use of the Licensed Deliverables in individual and commercial
- * software must include, in the user documentation and internal
- * comments to the code, the above Disclaimer and U.S. Government End
- * Users Notice.
- */
-
-// Conversion from/to 16-bit floating point (half-precision).
-
-#if !defined(_FP16_EMU_H_)
-#define _FP16_EMU_H_
-
-#include <driver_types.h>
-#include <cuda_fp16.h>
-
-// Necessary to ensure visibility of CUDART_VERSION macro
-#include <cuda_runtime_api.h>
-
-// Definition of '__half_raw' was not provided before CUDA 9.0.
-// '__half_raw' is our type where the unsigned 16-bit integer
-// data member 'x' can be accessed in both CUDA 9.0 and 8.0.
-#if CUDART_VERSION < 9000
-typedef __half __half_raw;
-#endif
-
-// Internally, in CUDNN we use half1 struct as the FP16 type.
-typedef __half half1;
-
-#define HLF_EPSILON 4.887581E-04
-#define HLF_MIN 6.103516E-05
-#define HLF_MAX 6.550400E+04
-
-half1 cpu_float2half_rn(float f);
-
-float cpu_half2float(half1 h);
-
-static __inline__ __device__ __host__ half1 habs(half1 h)
-{
- __half_raw hr = reinterpret_cast<__half_raw&>(h);
- hr.x &= 0x7fffU;
- return reinterpret_cast<half1&>(hr);
-}
-
-static __inline__ __device__ __host__ half1 hneg(half1 h)
-{
- __half_raw hr = reinterpret_cast<__half_raw&>(h);
- hr.x ^= 0x8000U;
- return reinterpret_cast<half1&>(hr);
-}
-
-static __inline__ __device__ __host__ int ishnan(half1 h)
-{
- // When input is NaN, exponent is all ones and mantissa is non-zero.
- __half_raw hr = reinterpret_cast<__half_raw&>(h);
- return (hr.x & 0x7c00U) == 0x7c00U && (hr.x & 0x03ffU) != 0;
-}
-
-static __inline__ __device__ __host__ int ishinf(half1 h)
-{
- // When input is +/- inf, exponent is all ones and mantissa is zero.
- __half_raw hr = reinterpret_cast<__half_raw&>(h);
- return (hr.x & 0x7c00U) == 0x7c00U && (hr.x & 0x03ffU) == 0;
-}
-
-static __inline__ __device__ __host__ int ishequ(half1 x, half1 y)
-{
- __half_raw xr = reinterpret_cast<__half_raw&>(x);
- __half_raw yr = reinterpret_cast<__half_raw&>(y);
- return ishnan(x) == 0 && ishnan(y) == 0 && xr.x == yr.x;
-}
-
-// Returns 0.0000 in FP16 binary form
-static __inline__ __device__ __host__ half1 hzero()
-{
- __half_raw hr;
- hr.x = 0x0000U;
- return reinterpret_cast<half1&>(hr);
-}
-
-// Returns 1.0000 in FP16 binary form
-static __inline__ __device__ __host__ half1 hone()
-{
- __half_raw hr;
- hr.x = 0x3c00U;
- return reinterpret_cast<half1&>(hr);
-}
-
-// Returns quiet NaN, the most significant fraction bit #9 is set
-static __inline__ __device__ __host__ half1 hnan()
-{
- __half_raw hr;
- hr.x = 0x7e00U;
- return reinterpret_cast<half1&>(hr);
-}
-
-// Largest positive FP16 value, corresponds to 6.5504e+04
-static __inline__ __device__ __host__ half1 hmax()
-{
- // Exponent all ones except LSB (0x1e), mantissa is all ones (0x3ff)
- __half_raw hr;
- hr.x = 0x7bffU;
- return reinterpret_cast<half1&>(hr);
-}
-
-// Smallest positive (normalized) FP16 value, corresponds to 6.1035e-05
-static __inline__ __device__ __host__ half1 hmin()
-{
- // Exponent is 0x01 (5 bits), mantissa is all zeros (10 bits)
- __half_raw hr;
- hr.x = 0x0400U;
- return reinterpret_cast<half1&>(hr);
-}
-
-#endif // _FP16_EMU_H_
-
diff --git a/hpvm/projects/soc_simulator/src/gemm b/hpvm/projects/soc_simulator/src/gemm
deleted file mode 100755
index 8730e084e099f740ad03cb3457862363579f76fe..0000000000000000000000000000000000000000
Binary files a/hpvm/projects/soc_simulator/src/gemm and /dev/null differ
diff --git a/hpvm/projects/soc_simulator/src/gemm.cu b/hpvm/projects/soc_simulator/src/gemm.cu
deleted file mode 100644
index 040a8dbba973d89f2a6ac30b9f38864f1ba9d42e..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/src/gemm.cu
+++ /dev/null
@@ -1,255 +0,0 @@
-#include <iostream>
-#include <fstream>
-#include <string>
-#include <chrono>
-#include <cublas_v2.h>
-#include <cuda_fp16.h>
-#include "fp16_emu.h"
-
-#define NUM_ARGS (5)
-
-inline cudaError_t checkCuda(cudaError_t result) {
- if (result != cudaSuccess)
- std::cerr << "CUDA Runtime Error: " << cudaGetErrorString(result) << "\n";
- return result;
-}
-
-inline cublasStatus_t checkCublas(cublasStatus_t result) {
- if (result != CUBLAS_STATUS_SUCCESS)
- std::cerr << "cuBLAS Error: " << result << "\n";
- return result;
-}
-
-template <typename T>
-inline void printArray(const T * const __restrict__ array,
- const unsigned elements) {
- for (unsigned i = 0; i < elements; i++)
- std::cout << std::to_string(array[i]) << "\n";
-}
-
-// initialization
-template <typename T>
-__global__ void initKernel(T * const __restrict__ array,
- const unsigned elements) {
- const unsigned idx = blockIdx.x * blockDim.x + threadIdx.x;
- if (idx < elements)
- array[idx] = 1.2;
-}
-
-template <typename T>
-void init(T * const __restrict__ array,
- const unsigned elements) {
- const unsigned block_size = 512;
- const unsigned num_blocks = (elements + block_size - 1) / block_size;
- initKernel<<<num_blocks, block_size>>>(array, elements);
- checkCuda(cudaDeviceSynchronize());
-}
-
-// float to half
-__global__ void f2hKernel(const float * const __restrict__ input,
- const unsigned elements,
- half * const __restrict__ output) {
- const unsigned idx = blockIdx.x * blockDim.x + threadIdx.x;
- if (idx < elements)
- output[idx] = __float2half_rn(input[idx]);
-}
-
-void f2h(const float * const __restrict__ input,
- const unsigned elements,
- half * const __restrict__ output) {
- const unsigned block_size = 512;
- const unsigned num_blocks = (elements + block_size - 1) / block_size;
- f2hKernel<<<num_blocks, block_size>>>(input, elements, output);
- checkCuda(cudaDeviceSynchronize());
-}
-
-// half to float
-__global__ void h2fKernel(const half * const __restrict__ input,
- const unsigned elements,
- float * const __restrict__ output) {
- const unsigned idx = blockIdx.x * blockDim.x + threadIdx.x;
- if (idx < elements)
- output[idx] = __half2float(input[idx]);
-}
-
-void h2f(const half * const __restrict__ input,
- const unsigned elements,
- float * const __restrict__ output) {
- const unsigned block_size = 512;
- const unsigned num_blocks = (elements + block_size - 1) / block_size;
- h2fKernel<<<num_blocks, block_size>>>(input, elements, output);
- checkCuda(cudaDeviceSynchronize());
-}
-
-void sgemm(const float * const __restrict__ a,
- const unsigned num_rows_a,
- const unsigned num_cols_a,
- const float * const __restrict__ b,
- const unsigned num_rows_b,
- const unsigned num_cols_b,
- float * const __restrict__ c) {
- std::chrono::time_point<std::chrono::high_resolution_clock> begin;
- std::chrono::time_point<std::chrono::high_resolution_clock> end;
- std::ofstream ofs("profile_data.txt", std::ios::out);
-
- cublasHandle_t handle;
- checkCublas(cublasCreate(&handle));
-
- // Enable Tensor Cores
- checkCublas(cublasSetMathMode(handle, CUBLAS_TENSOR_OP_MATH));
-
- const float alpha_ = 1.0;
- const float beta_ = 0.0;
- const float *alpha = &alpha_;
- const float *beta = &beta_;
-
- begin = std::chrono::high_resolution_clock::now();
- checkCublas(cublasGemmEx(handle,
- CUBLAS_OP_N,
- CUBLAS_OP_N,
- // Dimensions
- num_rows_a,
- num_cols_b,
- num_cols_a,
- alpha,
- // A
- a,
- CUDA_R_32F,
- num_rows_a,
- // B
- b,
- CUDA_R_32F,
- num_rows_b,
- beta,
- // C
- c,
- CUDA_R_32F,
- num_rows_a,
- // Compute precision and algorithm
- CUDA_R_32F,
- CUBLAS_GEMM_DEFAULT_TENSOR_OP));
- checkCuda(cudaDeviceSynchronize());
- end = std::chrono::high_resolution_clock::now();
-
- ofs << "FP32_GEMM" << "\t" << std::to_string(std::chrono::duration<double>(begin.time_since_epoch()).count()) << "\n";
- ofs << "FP32_GEMM" << "\t" << std::to_string(std::chrono::duration<double>(end.time_since_epoch()).count()) << "\n";
- ofs.flush();
- ofs.close();
-}
-
-void hgemm(const float * const __restrict__ af,
- const unsigned num_rows_a,
- const unsigned num_cols_a,
- const float * const __restrict__ bf,
- const unsigned num_rows_b,
- const unsigned num_cols_b,
- float * const __restrict__ cf) {
- std::chrono::time_point<std::chrono::high_resolution_clock> begin;
- std::chrono::time_point<std::chrono::high_resolution_clock> end;
- std::ofstream ofs("profile_data.txt", std::ios::out);
-
- const unsigned num_elements_a = num_rows_a * num_cols_a;
- const unsigned num_elements_b = num_rows_b * num_cols_b;
- const unsigned num_elements_c = num_rows_a * num_cols_b;
-
- half *a;
- half *b;
- half *c;
-
- checkCuda(cudaMallocManaged(&a, sizeof(half) * num_elements_a));
- checkCuda(cudaMallocManaged(&b, sizeof(half) * num_elements_b));
- checkCuda(cudaMallocManaged(&c, sizeof(half) * num_elements_c));
-
- init(a, num_elements_a);
- init(b, num_elements_b);
- init(c, num_elements_c);
-
- // Convert floats to halfs
- f2h(af, num_elements_a, a);
- f2h(bf, num_elements_b, b);
-
- cublasHandle_t handle;
- checkCublas(cublasCreate(&handle));
- checkCublas(cublasSetMathMode(handle, CUBLAS_TENSOR_OP_MATH));
-
- const half alpha_ = cpu_float2half_rn(1.0);
- const half beta_ = cpu_float2half_rn(0.0);
- const half *alpha = &alpha_;
- const half *beta = &beta_;
-
- begin = std::chrono::high_resolution_clock::now();
- checkCublas(cublasGemmEx(handle,
- CUBLAS_OP_N,
- CUBLAS_OP_N,
- // Dimensions
- num_rows_a,
- num_cols_b,
- num_cols_a,
- alpha,
- // A
- a,
- CUDA_R_16F,
- num_rows_a,
- // B
- b,
- CUDA_R_16F,
- num_rows_b,
- beta,
- // C
- c,
- CUDA_R_16F,
- num_rows_a,
- // Compute precision and algorithm
- CUDA_R_16F,
- CUBLAS_GEMM_DEFAULT_TENSOR_OP));
- checkCuda(cudaDeviceSynchronize());
- end = std::chrono::high_resolution_clock::now();
-
- h2f(c, num_elements_c, cf);
-
- ofs << "FP16_GEMM" << "\t" << std::to_string(std::chrono::duration<double>(begin.time_since_epoch()).count()) << "\n";
- ofs << "FP16_GEMM" << "\t" << std::to_string(std::chrono::duration<double>(end.time_since_epoch()).count()) << "\n";
- ofs.flush();
- ofs.close();
-}
-
-int main(int argc, char *argv[]) {
- if (argc != NUM_ARGS) {
- std::cerr << "Usage: " << argv[0] << " <RA> <CA> <CB> <precision>\n";
- exit(1);
- }
-
- // Inputs
- const unsigned num_rows_a = std::atoi(argv[1]);
- const unsigned num_cols_a = std::atoi(argv[2]);
- const unsigned num_rows_b = num_cols_a;
- const unsigned num_cols_b = std::atoi(argv[3]);
- const std::string precision(argv[4]);
-
- const unsigned num_elements_a = num_rows_a * num_cols_a;
- const unsigned num_elements_b = num_rows_b * num_cols_b;
- const unsigned num_elements_c = num_rows_a * num_cols_b;
-
- float *a;
- float *b;
- float *c;
-
- checkCuda(cudaMallocManaged(&a, sizeof(float) * num_elements_a));
- checkCuda(cudaMallocManaged(&b, sizeof(float) * num_elements_b));
- checkCuda(cudaMallocManaged(&c, sizeof(float) * num_elements_c));
-
- init(a, num_elements_a);
- init(b, num_elements_b);
- init(c, num_elements_c);
-
- if (precision == "fp32")
- sgemm(a, num_rows_a, num_cols_a, b, num_rows_b, num_cols_b, c);
- else
- hgemm(a, num_rows_a, num_cols_a, b, num_rows_b, num_cols_b, c);
-
- checkCuda(cudaFree(a));
- checkCuda(cudaFree(b));
- checkCuda(cudaFree(c));
-
- return 0;
-}
diff --git a/hpvm/projects/soc_simulator/src/hardware_knobs.pl b/hpvm/projects/soc_simulator/src/hardware_knobs.pl
deleted file mode 100755
index fac6b6c748a706cd397040546fa551b72ac14f3c..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/src/hardware_knobs.pl
+++ /dev/null
@@ -1,104 +0,0 @@
-#!/usr/bin/perl
-
-use strict;
-use warnings;
-
-# Do a GEMM: [5000 x K] x [K x 256], where K = {128, 256, ..., 16384}
-my $rows_a = 5000;
-my $cols_b = 1024;
-my @K;
-for (my $i = 8; $i <= 15; $i++) {
- push @K, 2**$i;
-}
-
-# Header
-foreach my $element (@K) {
- print $element . ",";
-}
-print "\n\n";
-
-print "########## PROMISE 1 #########\n";
-
-# Time
-foreach my $element (@K) {
- my ($time, $energy) = promise($rows_a, $element, $element, $cols_b, 1);
- print $time . ",";
-}
-print "\n\n";
-
-# Energy
-foreach my $element (@K) {
- my ($time, $energy) = promise($rows_a, $element, $element, $cols_b, 1);
- print $energy . ",";
-}
-print "\n\n";
-
-print "########## PROMISE 7 #########\n";
-
-# Time
-foreach my $element (@K) {
- my ($time, $energy) = promise($rows_a, $element, $element, $cols_b, 7);
- print $time . ",";
-}
-print "\n\n";
-
-# Energy
-foreach my $element (@K) {
- my ($time, $energy) = promise($rows_a, $element, $element, $cols_b, 7);
- print $energy . ",";
-}
-print "\n\n";
-
-print "########## FP32 #########\n";
-
-foreach my $element (@K) {
- my ($time, $energy) = gpu($rows_a, $element, $element, $cols_b, "fp32");
- print $time . ",";
-}
-print "\n\n";
-
-# Energy
-foreach my $element (@K) {
- my ($time, $energy) = gpu($rows_a, $element, $element, $cols_b, "fp32");
- print $energy . ",";
-}
-print "\n\n";
-
-print "########## FP16 #########\n";
-
-foreach my $element (@K) {
- my ($time, $energy) = gpu($rows_a, $element, $element, $cols_b, "fp16");
- print $time . ",";
-}
-print "\n\n";
-
-# Energy
-foreach my $element (@K) {
- my ($time, $energy) = gpu($rows_a, $element, $element, $cols_b, "fp16");
- print $energy . ",";
-}
-print "\n\n";
-
-# Cleanup
-`rm -f blah profile_data.txt`;
-
-# PROMISE
-sub promise {
- my ($rows_a, $cols_a, $rows_b, $cols_b, $swing) = @_;
- my $patch_factor = 1;
-
- my $te = `./ptm $rows_a $cols_a $rows_b $cols_b $patch_factor $swing`;
- chomp $te;
- my @temp = split /,/, $te;
- return ($temp[0], $temp[1]);
-}
-
-# GPU
-sub gpu {
- my ($rows_a, $cols_a, $rows_b, $cols_b, $precision) = @_;
- my $iterations = 10;
- my $te = `~/awesome_profiler/pp "./gemm $rows_a $cols_a $cols_b $precision" $iterations blah`;
- chomp $te;
- my @temp = split /,/, $te;
- return ($temp[0], $temp[1]);
-}
diff --git a/hpvm/projects/soc_simulator/src/patch b/hpvm/projects/soc_simulator/src/patch
deleted file mode 100755
index 94d04d5ba8a88bdd4fb1cbb907f18c419ba248bd..0000000000000000000000000000000000000000
Binary files a/hpvm/projects/soc_simulator/src/patch and /dev/null differ
diff --git a/hpvm/projects/soc_simulator/src/patch.cu b/hpvm/projects/soc_simulator/src/patch.cu
deleted file mode 100644
index 6d489978a24f828cc370cdb6e2add64877c514a7..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/src/patch.cu
+++ /dev/null
@@ -1,292 +0,0 @@
-#include <iostream>
-#include <fstream>
-#include <chrono>
-
-// NOTE: This benchmark was originally meant to measure the performance of
-// patch matrix generation on the GPU. However, it is now used for measuring
-// both performance and energy of the actual patch matrix generation that needs
-// to happen before offloading the computation to PROMISE.
-// In order to do so, we assume that initially only that tile of the patch
-// matrix is generated that PROMISE will actually work on, and the generation
-// of the remaining tiles can be pipelined with PROMISE's computation. This
-// has two implications:
-// 1. We only add the time for the first tile's generation. This means that
-// this program has to be profiled with the appropriate smaller batch size to
-// obtain the *time* overhead.
-// 2. Since pipelining doesn't affect energy, the program has to be profiled
-// with the full batch size to obtain the *energy* overhead.
-
-#define NUM_ARGS (9)
-#define BLOCK_SIZE (512)
-
-struct image_dim {
- unsigned n;
- unsigned cin;
- unsigned h;
- unsigned w;
-};
-
-struct kernel_dim {
- unsigned cout;
- unsigned cin;
- unsigned h;
- unsigned w;
-};
-
-inline cudaError_t checkCuda(cudaError_t result) {
- if (result != cudaSuccess)
- std::cerr << "CUDA Runtime Error: " << cudaGetErrorString(result) << "\n";
- return result;
-}
-
-// init kernel to bring all the pages to the GPU
-template <typename T>
-__global__ void initKernel(T * const __restrict__ array,
- const unsigned elements) {
- const unsigned idx = blockIdx.x * blockDim.x + threadIdx.x;
- if (idx < elements)
- array[idx] = 1;
-}
-
-template <typename T>
-void init(T * const __restrict__ array,
- const unsigned elements) {
- const unsigned num_blocks = (elements + BLOCK_SIZE - 1) / BLOCK_SIZE;
- initKernel<<<num_blocks, BLOCK_SIZE>>>(array, elements);
- checkCuda(cudaDeviceSynchronize());
-}
-
-// Patches input matrix
-template <typename T>
-__global__ void patchInputKernel(const T * const __restrict__ input,
- const image_dim idim,
- const kernel_dim kdim,
- T * const __restrict__ patch_input,
- const unsigned patch_rows,
- const unsigned patch_cols,
- const unsigned patch_n) {
- // Coalesced writes ftw
- const unsigned idx = blockIdx.x * blockDim.x + threadIdx.x;
- if (idx < patch_n) {
- // Index of output
- const unsigned patch_col = idx % patch_cols;
- const unsigned patch_row = idx / patch_cols;
-
- // Index of the source point in the input image batch
- const unsigned col_idx = patch_row % idim.w;
- const unsigned row_idx = patch_row / idim.w;
-
- // Index of my point in the (kh * kw * cin) kernel block. kw and kh are
- // flipped because I've assumed the source point lies at the bottom
- // right of the kernel cube and not the top left.
- const int kw_idx = kdim.w - (patch_col % kdim.w) - 1;
- const int kh_idx = kdim.h - ((patch_col / kdim.w) % kdim.h) - 1;
- const int kc_idx = patch_col / (kdim.w * kdim.h);
-
- // Index of the "kernel point" in the input image batch
- const int w_idx = col_idx - kw_idx;
- const int h_idx = row_idx - kh_idx;
- const int c_idx = kc_idx;
-
- // Are we inside the input cube?
- const bool inside = (w_idx >= 0 && h_idx >= 0);
- //printf("thread %d: dst (%u, %u); src point (%u, %u); kernel (%d, %d, %d); input (%d, %d, %d); inside %d\n", idx, patch_row, patch_col, row_idx, col_idx, kc_idx, kh_idx, kw_idx, c_idx, h_idx, w_idx, inside);
-
- if (inside)
- patch_input[idx] = input[(c_idx * idim.w * idim.h) + (h_idx * idim.w) + w_idx];
- else
- patch_input[idx] = 0;
- }
-}
-
-template <typename T>
-void patchInput(const T * const __restrict__ input,
- const image_dim idim,
- const kernel_dim kdim,
- T * const __restrict__ patch_input) {
- const auto patch_rows = (idim.n * idim.h * idim.w) / sizeof(unsigned);
- const auto patch_cols = kdim.cin * kdim.h * kdim.w;
- const auto patch_n = patch_rows * patch_cols;
-
- const unsigned num_blocks = (patch_n + BLOCK_SIZE - 1) / BLOCK_SIZE;
- patchInputKernel<<<num_blocks, BLOCK_SIZE>>>(input, idim, kdim, patch_input, patch_rows, patch_cols, patch_n);
- checkCuda(cudaDeviceSynchronize());
-}
-
-// Unpatches output matrix
-template <typename T>
-__global__ void unpatchOutputKernel(const T * const __restrict__ patch_output,
- const unsigned patch_rows,
- const unsigned patch_cols,
- const unsigned patch_n,
- T * const __restrict__ output,
- const image_dim odim) {
- const unsigned idx = blockIdx.x * blockDim.x + threadIdx.x;
- if (idx < patch_n) {
- // Read index in the patch matrix
- const unsigned image_size = odim.w * odim.h * odim.cin;
- const unsigned image_id = idx / image_size;
- const unsigned patch_row = (image_id * odim.w * odim.h) + (idx % (odim.w * odim.h));
- const unsigned patch_col = (idx / (odim.w * odim.h)) % odim.cin;
- //printf("thread %d: src (%u, %u)\n", idx, patch_row, patch_col);
-
- // Coalesced writes ftw
- output[idx] = patch_output[(patch_row * patch_cols) + patch_col];
- }
-}
-
-template <typename T>
-void unpatchOutput(const T * const __restrict__ patch_output,
- T * const __restrict__ output,
- const image_dim odim) {
- const auto patch_rows = (odim.n * odim.h * odim.w) / sizeof(unsigned);
- const auto patch_cols = odim.cin;
- const auto patch_n = patch_rows * patch_cols;
-
- const unsigned num_blocks = (patch_n + BLOCK_SIZE - 1) / BLOCK_SIZE;
- unpatchOutputKernel<<<num_blocks, BLOCK_SIZE>>>(patch_output, patch_rows, patch_cols, patch_n, output, odim);
- checkCuda(cudaDeviceSynchronize());
-}
-
-// Patches kernel matrix
-template <typename T>
-__global__ void patchKernelKernel(const T * const __restrict__ kernel,
- T * const __restrict__ patch_kernel,
- const unsigned patch_rows,
- const unsigned patch_cols,
- const unsigned patch_n) {
- // There are two ways to implement this: coalesced reads or coalesced
- // writes. Empirically, coalesced writes is about 3x faster and that's
- // what's used here. This is most likely because the coalesced reads
- // version results in different thread blocks writing to the same line
- // while presumably being on different cores. This results in ping-ponging
- // of the line, which hurts performance. The strided reads in the coalesced
- // writes version are just reads - they can be shared as many times as
- // needed without penalty.
- const unsigned idx = blockIdx.x * blockDim.x + threadIdx.x;
- if (idx < patch_n) {
- const unsigned col_idx = idx % patch_cols;
- const unsigned row_idx = idx / patch_cols;
- patch_kernel[idx] = kernel[(col_idx * patch_rows) + row_idx];
- }
-}
-
-template <typename T>
-void patchKernel(const T * const __restrict__ kernel,
- const kernel_dim kdim,
- T * const __restrict__ patch_kernel) {
- const auto patch_rows = kdim.cin * kdim.h * kdim.w;
- const auto patch_cols = kdim.cout;
- const auto patch_n = patch_rows * patch_cols;
-
- const unsigned num_blocks = (patch_n + BLOCK_SIZE - 1) / BLOCK_SIZE;
- patchKernelKernel<<<num_blocks, BLOCK_SIZE>>>(kernel, patch_kernel, patch_rows, patch_cols, patch_n);
- checkCuda(cudaDeviceSynchronize());
-}
-
-int main(int argc, char *argv[]) {
- if (argc != NUM_ARGS) {
- std::cerr << "Usage: " << argv[0] << " <N> <C> <H> <W> <Cout> <Kh> <Kw> <patch/unpatch>\n";
- exit(1);
- }
-
- // Inputs
- const unsigned n = std::atoi(argv[1]);
- const unsigned c = std::atoi(argv[2]);
- const unsigned h = std::atoi(argv[3]);
- const unsigned w = std::atoi(argv[4]);
-
- const unsigned cout = std::atoi(argv[5]);
- const unsigned kh = std::atoi(argv[6]);
- const unsigned kw = std::atoi(argv[7]);
-
- const std::string type(argv[8]);
-
- const image_dim idim = {n, c, h, w};
- const kernel_dim kdim = {cout, c, kh, kw};
- const image_dim odim = {n, cout, h, w};
-
- std::chrono::time_point<std::chrono::high_resolution_clock> begin;
- std::chrono::time_point<std::chrono::high_resolution_clock> end;
- std::ofstream ofs("profile_data.txt", std::ios::out);
-
- if (type == "patch") {
- const auto patch_rows = (idim.n * idim.h * idim.w) / sizeof(unsigned);
- const auto patch_cols = kdim.cin * kdim.h * kdim.w;
- const auto patch_n = patch_rows * patch_cols;
-
- unsigned *input;
- unsigned *output;
-
- checkCuda(cudaMallocManaged(&input, sizeof(unsigned) * patch_n));
- checkCuda(cudaMallocManaged(&output, sizeof(unsigned) * patch_n));
-
- init(input, patch_n);
- init(output, patch_n);
-
- begin = std::chrono::high_resolution_clock::now();
- patchInput(input, idim, kdim, output);
- end = std::chrono::high_resolution_clock::now();
-
- checkCuda(cudaFree(input));
- checkCuda(cudaFree(output));
-
- ofs << "Patch_Input" << "\t" << std::to_string(std::chrono::duration<double>(begin.time_since_epoch()).count()) << "\n";
- ofs << "Patch_Input" << "\t" << std::to_string(std::chrono::duration<double>(end.time_since_epoch()).count()) << "\n";
- ofs.flush();
- } else if (type == "unpatch") {
- const auto patch_rows = (odim.n * odim.h * odim.w) / sizeof(unsigned);
- const auto patch_cols = odim.cin;
- const auto patch_n = patch_rows * patch_cols;
-
- unsigned *input;
- unsigned *output;
-
- checkCuda(cudaMallocManaged(&input, sizeof(unsigned) * patch_n));
- checkCuda(cudaMallocManaged(&output, sizeof(unsigned) * patch_n));
-
- init(input, patch_n);
- init(output, patch_n);
-
- begin = std::chrono::high_resolution_clock::now();
- unpatchOutput(input, output, odim);
- end = std::chrono::high_resolution_clock::now();
-
- checkCuda(cudaFree(input));
- checkCuda(cudaFree(output));
-
- ofs << "Unpatch_Output" << "\t" << std::to_string(std::chrono::duration<double>(begin.time_since_epoch()).count()) << "\n";
- ofs << "Unpatch_Output" << "\t" << std::to_string(std::chrono::duration<double>(end.time_since_epoch()).count()) << "\n";
- ofs.flush();
- } else if (type == "kernel") {
- const auto patch_rows = kdim.cin * kdim.h * kdim.w;
- const auto patch_cols = kdim.cout;
- const auto patch_n = patch_rows * patch_cols;
-
- char *input;
- char *output;
-
- checkCuda(cudaMallocManaged(&input, sizeof(char) * patch_n));
- checkCuda(cudaMallocManaged(&output, sizeof(char) * patch_n));
-
- init(input, patch_n);
- init(output, patch_n);
-
- begin = std::chrono::high_resolution_clock::now();
- patchKernel(input, kdim, output);
- end = std::chrono::high_resolution_clock::now();
-
- checkCuda(cudaFree(input));
- checkCuda(cudaFree(output));
-
- ofs << "Patch_Kernel" << "\t" << std::to_string(std::chrono::duration<double>(begin.time_since_epoch()).count()) << "\n";
- ofs << "Patch_Kernel" << "\t" << std::to_string(std::chrono::duration<double>(end.time_since_epoch()).count()) << "\n";
- ofs.flush();
- } else {
- std::cerr << "Patch type not supported!\n";
- exit(1);
- }
-
- ofs.close();
- return 0;
-}
diff --git a/hpvm/projects/soc_simulator/src/promise_timing_model_ext b/hpvm/projects/soc_simulator/src/promise_timing_model_ext
deleted file mode 100755
index 960ac445a104c93fd8a5f71c9323f921cf2bc9e4..0000000000000000000000000000000000000000
Binary files a/hpvm/projects/soc_simulator/src/promise_timing_model_ext and /dev/null differ
diff --git a/hpvm/projects/soc_simulator/src/ptm b/hpvm/projects/soc_simulator/src/ptm
deleted file mode 100755
index 0cdb86b8481a64e096766092c375e8ee682e7dac..0000000000000000000000000000000000000000
Binary files a/hpvm/projects/soc_simulator/src/ptm and /dev/null differ
diff --git a/hpvm/projects/soc_simulator/src/quantization.cu b/hpvm/projects/soc_simulator/src/quantization.cu
deleted file mode 100644
index bb1f34b2bdfe869ebd79b67bf05b0776bfbd3d4a..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/src/quantization.cu
+++ /dev/null
@@ -1,275 +0,0 @@
-#include <iostream>
-#include <fstream>
-#include <chrono>
-#include "cuda_fp16.h"
-
-// NOTE: This benchmark was originally meant to measure the performance of
-// various conversion routines. However, it is now used for measuring both
-// performance and energy of the actual conversion that needs to happen before
-// offloading the computation to PROMISE.
-// In order to do so, we assume that the initial conversion is only performed
-// for the tile that PROMISE will actually work on, and the conversions of the
-// remaining tiles can be pipelined with PROMISE's computation. This has two
-// implications:
-// 1. We only add the time for the conversion of the very first tile. This
-// means that this program has to be profiled with the appropriate smaller
-// batch size to obtain the *time* overhead.
-// 2. Since pipelining doesn't affect energy, the program has to be profiled
-// with the full batch size to obtain the *energy* overhead.
-
-#define NUM_ARGS (3)
-#define BLOCK_SIZE (512)
-
-inline cudaError_t checkCuda(cudaError_t result) {
- if (result != cudaSuccess)
- std::cerr << "CUDA Runtime Error: " << cudaGetErrorString(result) << "\n";
- return result;
-}
-
-// init kernel to bring all the pages to the GPU
-template <typename T>
-__global__ void initKernel(T * const __restrict__ array,
- const unsigned elements) {
- const unsigned idx = blockIdx.x * blockDim.x + threadIdx.x;
- if (idx < elements)
- array[idx] = 1;
-}
-
-template <typename T>
-void init(T * const __restrict__ array,
- const unsigned elements) {
- const unsigned num_blocks = (elements + BLOCK_SIZE - 1) / BLOCK_SIZE;
- initKernel<<<num_blocks, BLOCK_SIZE>>>(array, elements);
- checkCuda(cudaDeviceSynchronize());
-}
-
-// float to half
-__global__ void f2hKernel(const float * const __restrict__ input,
- const unsigned elements,
- half * const __restrict__ output) {
- const unsigned idx = blockIdx.x * blockDim.x + threadIdx.x;
- if (idx < elements)
- output[idx] = __float2half_rn(input[idx]);
-}
-
-void f2h(const float * const __restrict__ input,
- const unsigned elements,
- half * const __restrict__ output) {
- const unsigned num_blocks = (elements + BLOCK_SIZE - 1) / BLOCK_SIZE;
- f2hKernel<<<num_blocks, BLOCK_SIZE>>>(input, elements, output);
- checkCuda(cudaDeviceSynchronize());
-}
-
-// half to float
-__global__ void h2fKernel(const half * const __restrict__ input,
- const unsigned elements,
- float * const __restrict__ output) {
- const unsigned idx = blockIdx.x * blockDim.x + threadIdx.x;
- if (idx < elements)
- output[idx] = __half2float(input[idx]);
-}
-
-void h2f(const half * const __restrict__ input,
- const unsigned elements,
- float * const __restrict__ output) {
- const unsigned num_blocks = (elements + BLOCK_SIZE - 1) / BLOCK_SIZE;
- h2fKernel<<<num_blocks, BLOCK_SIZE>>>(input, elements, output);
- checkCuda(cudaDeviceSynchronize());
-}
-
-// float to char ([-1.0, 1.0] to [-128, 127])
-__global__ void f2cKernel(const float * const __restrict__ input,
- const unsigned elements,
- char * const __restrict__ output) {
- const unsigned idx = blockIdx.x * blockDim.x + threadIdx.x;
- if (idx < elements)
- output[idx] = (char) ((127.5 * input[idx]) - 0.5);
-}
-
-void f2c(const float * const __restrict__ input,
- const unsigned elements,
- char * const __restrict__ output) {
- const unsigned num_blocks = (elements + BLOCK_SIZE - 1) / BLOCK_SIZE;
- f2cKernel<<<num_blocks, BLOCK_SIZE>>>(input, elements, output);
- checkCuda(cudaDeviceSynchronize());
-}
-
-// char to float ([-128, 127] to [-1.0, 1.0])
-__global__ void c2fKernel(const char * const __restrict__ input,
- const unsigned elements,
- float * const __restrict__ output) {
- const unsigned idx = blockIdx.x * blockDim.x + threadIdx.x;
- if (idx < elements)
- output[idx] = (((float) input[idx]) + 0.5) / 127.5;
-}
-
-void c2f(const char * const __restrict__ input,
- const unsigned elements,
- float * const __restrict__ output) {
- const unsigned num_blocks = (elements + BLOCK_SIZE - 1) / BLOCK_SIZE;
- c2fKernel<<<num_blocks, BLOCK_SIZE>>>(input, elements, output);
- checkCuda(cudaDeviceSynchronize());
-}
-
-// half to char ([-1.0, 1.0] to [-128, 127])
-__global__ void h2cKernel(const half * const __restrict__ input,
- const unsigned elements,
- char * const __restrict__ output) {
- const unsigned idx = blockIdx.x * blockDim.x + threadIdx.x;
- if (idx < elements)
- output[idx] = (char) ((127.5 * __half2float(input[idx])) - 0.5);
-}
-
-void h2c(const half * const __restrict__ input,
- const unsigned elements,
- char * const __restrict__ output) {
- const unsigned num_blocks = (elements + BLOCK_SIZE - 1) / BLOCK_SIZE;
- h2cKernel<<<num_blocks, BLOCK_SIZE>>>(input, elements, output);
- checkCuda(cudaDeviceSynchronize());
-}
-
-// char to half ([-128, 127] to [-1.0, 1.0])
-__global__ void c2hKernel(const char * const __restrict__ input,
- const unsigned elements,
- half * const __restrict__ output) {
- const unsigned idx = blockIdx.x * blockDim.x + threadIdx.x;
- if (idx < elements)
- output[idx] = __float2half_rn((((float) input[idx]) + 0.5) / 127.5);
-}
-
-void c2h(const char * const __restrict__ input,
- const unsigned elements,
- half * const __restrict__ output) {
- const unsigned num_blocks = (elements + BLOCK_SIZE - 1) / BLOCK_SIZE;
- c2hKernel<<<num_blocks, BLOCK_SIZE>>>(input, elements, output);
- checkCuda(cudaDeviceSynchronize());
-}
-
-int main(int argc, char *argv[]) {
- if (argc != NUM_ARGS) {
- std::cerr << "Usage: " << argv[0] << " <#elements> <conversion type>\n";
- exit(1);
- }
-
- float *floats;
- half *halfs;
- char *chars;
-
- // Inputs
- const unsigned n = std::atoi(argv[1]);
- const std::string type(argv[2]);
-
- std::chrono::time_point<std::chrono::high_resolution_clock> begin;
- std::chrono::time_point<std::chrono::high_resolution_clock> end;
- std::ofstream ofs("profile_data.txt", std::ios::out);
-
- if (type == "f2h") {
- checkCuda(cudaMallocManaged(&floats, sizeof(float) * n));
- checkCuda(cudaMallocManaged(&halfs, sizeof(half) * n));
-
- init(floats, n);
- init(halfs, n);
-
- begin = std::chrono::high_resolution_clock::now();
- f2h(floats, n, halfs);
- end = std::chrono::high_resolution_clock::now();
-
- checkCuda(cudaFree(floats));
- checkCuda(cudaFree(halfs));
-
- ofs << "f2h" << "\t" << std::to_string(std::chrono::duration<double>(begin.time_since_epoch()).count()) << "\n";
- ofs << "f2h" << "\t" << std::to_string(std::chrono::duration<double>(end.time_since_epoch()).count()) << "\n";
- ofs.flush();
- } else if (type == "h2f") {
- checkCuda(cudaMallocManaged(&floats, sizeof(float) * n));
- checkCuda(cudaMallocManaged(&halfs, sizeof(half) * n));
-
- init(floats, n);
- init(halfs, n);
-
- begin = std::chrono::high_resolution_clock::now();
- h2f(halfs, n, floats);
- end = std::chrono::high_resolution_clock::now();
-
- checkCuda(cudaFree(floats));
- checkCuda(cudaFree(halfs));
-
- ofs << "h2f" << "\t" << std::to_string(std::chrono::duration<double>(begin.time_since_epoch()).count()) << "\n";
- ofs << "h2f" << "\t" << std::to_string(std::chrono::duration<double>(end.time_since_epoch()).count()) << "\n";
- ofs.flush();
- } else if (type == "f2c") {
- checkCuda(cudaMallocManaged(&floats, sizeof(float) * n));
- checkCuda(cudaMallocManaged(&chars, sizeof(char) * n));
-
- init(floats, n);
- init(chars, n);
-
- begin = std::chrono::high_resolution_clock::now();
- f2c(floats, n, chars);
- end = std::chrono::high_resolution_clock::now();
-
- checkCuda(cudaFree(floats));
- checkCuda(cudaFree(chars));
-
- ofs << "f2c" << "\t" << std::to_string(std::chrono::duration<double>(begin.time_since_epoch()).count()) << "\n";
- ofs << "f2c" << "\t" << std::to_string(std::chrono::duration<double>(end.time_since_epoch()).count()) << "\n";
- ofs.flush();
- } else if (type == "c2f") {
- checkCuda(cudaMallocManaged(&floats, sizeof(float) * n));
- checkCuda(cudaMallocManaged(&chars, sizeof(char) * n));
-
- init(floats, n);
- init(chars, n);
-
- begin = std::chrono::high_resolution_clock::now();
- c2f(chars, n, floats);
- end = std::chrono::high_resolution_clock::now();
-
- checkCuda(cudaFree(floats));
- checkCuda(cudaFree(chars));
-
- ofs << "c2f" << "\t" << std::to_string(std::chrono::duration<double>(begin.time_since_epoch()).count()) << "\n";
- ofs << "c2f" << "\t" << std::to_string(std::chrono::duration<double>(end.time_since_epoch()).count()) << "\n";
- ofs.flush();
- } else if (type == "h2c") {
- checkCuda(cudaMallocManaged(&halfs, sizeof(half) * n));
- checkCuda(cudaMallocManaged(&chars, sizeof(char) * n));
-
- init(halfs, n);
- init(chars, n);
-
- begin = std::chrono::high_resolution_clock::now();
- h2c(halfs, n, chars);
- end = std::chrono::high_resolution_clock::now();
-
- checkCuda(cudaFree(halfs));
- checkCuda(cudaFree(chars));
-
- ofs << "h2c" << "\t" << std::to_string(std::chrono::duration<double>(begin.time_since_epoch()).count()) << "\n";
- ofs << "h2c" << "\t" << std::to_string(std::chrono::duration<double>(end.time_since_epoch()).count()) << "\n";
- ofs.flush();
- } else if (type == "c2h") {
- checkCuda(cudaMallocManaged(&halfs, sizeof(half) * n));
- checkCuda(cudaMallocManaged(&chars, sizeof(char) * n));
-
- init(halfs, n);
- init(chars, n);
-
- begin = std::chrono::high_resolution_clock::now();
- c2h(chars, n, halfs);
- end = std::chrono::high_resolution_clock::now();
-
- checkCuda(cudaFree(halfs));
- checkCuda(cudaFree(chars));
-
- ofs << "c2h" << "\t" << std::to_string(std::chrono::duration<double>(begin.time_since_epoch()).count()) << "\n";
- ofs << "c2h" << "\t" << std::to_string(std::chrono::duration<double>(end.time_since_epoch()).count()) << "\n";
- ofs.flush();
- } else {
- std::cerr << "Conversion type not supported!\n";
- exit(1);
- }
-
- ofs.close();
- return 0;
-}
diff --git a/hpvm/projects/soc_simulator/src/quantize b/hpvm/projects/soc_simulator/src/quantize
deleted file mode 100755
index d977c364e97cae9352e968a2469303cfdba8a650..0000000000000000000000000000000000000000
Binary files a/hpvm/projects/soc_simulator/src/quantize and /dev/null differ
diff --git a/hpvm/projects/soc_simulator/src/run_configs.pl b/hpvm/projects/soc_simulator/src/run_configs.pl
deleted file mode 100755
index ad67ea75ee652f6e504d27135a5898a4503cae26..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/src/run_configs.pl
+++ /dev/null
@@ -1,126 +0,0 @@
-#!/usr/bin/perl
-
-use strict;
-use warnings;
-
-my $smart_dma = 1;
-my $detailed_results = 0;
-
-# Full experiments
-my @mnist_networks = ("lenet", "fc4");
-my @cifar10_networks = ("alexnet", "alexnet2", "resnet18", "vgg16");
-my @cifar100_networks = ("vgg16");
-my @pipelines = ("pipeline_GEMO", "pipeline_GEO", "pipeline_GEOM", "pipeline_GSM", "pipeline_GSME");
-
-# Naive experiments
-my @mnist_networks_naive = ("lenet", "fc4");
-my @cifar10_networks_naive = ("vgg16");
-
-#print "############### NAIVE 1% ##############\n";
-
-# MNIST networks
-foreach my $network (@mnist_networks_naive) {
- print "Running $network\n";
- print "Naive Loss1\n";
- `./driver.pl ../${network}_mnist/${network}_layers.txt ../${network}_mnist/${network}_tensors.txt ../${network}_mnist/${network}_naive1.txt ../${network}_mnist/${network}_naive_results1.csv $smart_dma $detailed_results`;
-}
-
-# CIFAR10 networks
-foreach my $network (@cifar10_networks_naive) {
- print "Running $network\n";
- print "Naive Loss1\n";
- `./driver.pl ../${network}_cifar10/${network}_layers.txt ../${network}_cifar10/${network}_tensors.txt ../${network}_cifar10/${network}_naive1.txt ../${network}_cifar10/${network}_naive_results1.csv $smart_dma $detailed_results`;
-}
-
-#print "############### 1% ##############\n";
-#
-## MNIST networks
-#foreach my $network (@mnist_networks) {
-# print "Running $network\n";
-# print "HA Loss1\n";
-# `./driver.pl ../${network}_mnist/${network}_layers.txt ../${network}_mnist/${network}_tensors.txt ../${network}_mnist/${network}_confs1.txt ../${network}_mnist/${network}_results1.csv $smart_dma $detailed_results`;
-# print "HS Loss1\n";
-# `./driver.pl ../${network}_mnist/${network}_layers.txt ../${network}_mnist/${network}_tensors.txt ../${network}_mnist/${network}_promise_confs1.txt ../${network}_mnist/${network}_promise_results1.csv $smart_dma $detailed_results`;
-#}
-#
-## CIFAR10 networks
-#foreach my $network (@cifar10_networks) {
-# print "Running $network\n";
-# print "HA Loss1\n";
-# `./driver.pl ../${network}_cifar10/${network}_layers.txt ../${network}_cifar10/${network}_tensors.txt ../${network}_cifar10/${network}_confs1.txt ../${network}_cifar10/${network}_results1.csv $smart_dma $detailed_results`;
-# print "HS Loss1\n";
-# `./driver.pl ../${network}_cifar10/${network}_layers.txt ../${network}_cifar10/${network}_tensors.txt ../${network}_cifar10/${network}_promise_confs1.txt ../${network}_cifar10/${network}_promise_results1.csv $smart_dma $detailed_results`;
-#}
-#
-## CIFAR100 networks
-#foreach my $network (@cifar100_networks) {
-# print "Running $network\n";
-# print "HA Loss1\n";
-# `./driver.pl ../${network}_cifar100/${network}_layers.txt ../${network}_cifar100/${network}_tensors.txt ../${network}_cifar100/${network}_confs1.txt ../${network}_cifar100/${network}_results1.csv $smart_dma $detailed_results`;
-# print "HS Loss1\n";
-# `./driver.pl ../${network}_cifar100/${network}_layers.txt ../${network}_cifar100/${network}_tensors.txt ../${network}_cifar100/${network}_promise_confs1.txt ../${network}_cifar100/${network}_promise_results1.csv $smart_dma $detailed_results`;
-#}
-#
-## Image pipelines
-#foreach my $pipeline (@pipelines) {
-# print "Running $pipeline\n";
-# print "HA Loss1\n";
-# `./driver.pl ../${pipeline}/${pipeline}_layers.txt ../${pipeline}/${pipeline}_tensors.txt ../${pipeline}/${pipeline}_confs1.txt ../${pipeline}/${pipeline}_results1.csv $smart_dma $detailed_results`;
-# print "HS Loss1\n";
-# `./driver.pl ../${pipeline}/${pipeline}_layers.txt ../${pipeline}/${pipeline}_tensors.txt ../${pipeline}/${pipeline}_promise_confs1.txt ../${pipeline}/${pipeline}_promise_results1.csv $smart_dma $detailed_results`;
-#}
-#
-## vgg16_cifar100_top5
-##print "Running vgg16_cifar100_top5\n";
-##`./driver.pl ../vgg16_cifar100_top5/vgg16_layers.txt ../vgg16_cifar100_top5/vgg16_tensors.txt ../vgg16_cifar100_top5/vgg16_confs1.txt ../vgg16_cifar100_top5/vgg16_results1.csv $smart_dma $detailed_results`;
-##`./driver.pl ../vgg16_cifar100_top5/vgg16_layers.txt ../vgg16_cifar100_top5/vgg16_tensors.txt ../vgg16_cifar100_top5/vgg16_promise_confs1.txt ../vgg16_cifar100_top5/vgg16_promise_results1.csv $smart_dma $detailed_results`;
-#
-#print "############### 2% ##############\n";
-#
-## MNIST networks
-#foreach my $network (@mnist_networks) {
-# print "Running $network\n";
-# print "HA Loss2\n";
-# `./driver.pl ../${network}_mnist/${network}_layers.txt ../${network}_mnist/${network}_tensors.txt ../${network}_mnist/${network}_confs2.txt ../${network}_mnist/${network}_results2.csv $smart_dma $detailed_results`;
-# print "HS Loss2\n";
-# `./driver.pl ../${network}_mnist/${network}_layers.txt ../${network}_mnist/${network}_tensors.txt ../${network}_mnist/${network}_promise_confs2.txt ../${network}_mnist/${network}_promise_results2.csv $smart_dma $detailed_results`;
-#}
-#
-## CIFAR10 networks
-#foreach my $network (@cifar10_networks) {
-# print "Running $network\n";
-# print "HA Loss2\n";
-# `./driver.pl ../${network}_cifar10/${network}_layers.txt ../${network}_cifar10/${network}_tensors.txt ../${network}_cifar10/${network}_confs2.txt ../${network}_cifar10/${network}_results2.csv $smart_dma $detailed_results`;
-# print "HS Loss2\n";
-# `./driver.pl ../${network}_cifar10/${network}_layers.txt ../${network}_cifar10/${network}_tensors.txt ../${network}_cifar10/${network}_promise_confs2.txt ../${network}_cifar10/${network}_promise_results2.csv $smart_dma $detailed_results`;
-#}
-#
-## CIFAR100 networks
-#foreach my $network (@cifar100_networks) {
-# print "Running $network\n";
-# print "HA Loss2\n";
-# `./driver.pl ../${network}_cifar100/${network}_layers.txt ../${network}_cifar100/${network}_tensors.txt ../${network}_cifar100/${network}_confs2.txt ../${network}_cifar100/${network}_results2.csv $smart_dma $detailed_results`;
-# print "HS Loss2\n";
-# `./driver.pl ../${network}_cifar100/${network}_layers.txt ../${network}_cifar100/${network}_tensors.txt ../${network}_cifar100/${network}_promise_confs2.txt ../${network}_cifar100/${network}_promise_results2.csv $smart_dma $detailed_results`;
-#}
-#
-## Image pipelines
-#foreach my $pipeline (@pipelines) {
-# print "Running $pipeline\n";
-# print "HA Loss2\n";
-# `./driver.pl ../${pipeline}/${pipeline}_layers.txt ../${pipeline}/${pipeline}_tensors.txt ../${pipeline}/${pipeline}_confs2.txt ../${pipeline}/${pipeline}_results2.csv $smart_dma $detailed_results`;
-# print "HS Loss2\n";
-# `./driver.pl ../${pipeline}/${pipeline}_layers.txt ../${pipeline}/${pipeline}_tensors.txt ../${pipeline}/${pipeline}_promise_confs2.txt ../${pipeline}/${pipeline}_promise_results2.csv $smart_dma $detailed_results`;
-#}
-#
-## vgg16_cifar100_top5
-##print "Running vgg16_cifar100_top5\n";
-##`./driver.pl ../vgg16_cifar100_top5/vgg16_layers.txt ../vgg16_cifar100_top5/vgg16_tensors.txt ../vgg16_cifar100_top5/vgg16_confs2.txt ../vgg16_cifar100_top5/vgg16_results2.csv $smart_dma $detailed_results`;
-##`./driver.pl ../vgg16_cifar100_top5/vgg16_layers.txt ../vgg16_cifar100_top5/vgg16_tensors.txt ../vgg16_cifar100_top5/vgg16_promise_confs2.txt ../vgg16_cifar100_top5/vgg16_promise_results2.csv $smart_dma $detailed_results`;
-#
-# Alexnet HA Loss2 without pDMA
-#print "Running Alexnet without pDMA\n";
-#$smart_dma = 0;
-#$detailed_results = 1;
-#`./driver.pl ../alexnet_cifar10/alexnet_layers.txt ../alexnet_cifar10/alexnet_tensors.txt ../alexnet_cifar10/alexnet_confs2.txt ../alexnet_cifar10/alexnet_results2_nodma.csv $smart_dma $detailed_results`;
-
diff --git a/hpvm/projects/soc_simulator/src/table_generator.py b/hpvm/projects/soc_simulator/src/table_generator.py
deleted file mode 100644
index 528b8e0ef5677cec9ccdba37abfde696544029cc..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/src/table_generator.py
+++ /dev/null
@@ -1,308 +0,0 @@
-import glob
-import os
-import subprocess
-import shutil
-import sys
-
-from collections import defaultdict
-
-'''
-FORMAT
-
-** LayerName NumOpsInLayer <cols>
-OpName Col1Val Col2Val ...
-
-** Conv1 1 h2f_time h2f_energy fp32_time fp32_energy f2h_time f2h_energy fp16_perf_time fp16_perf_energy fp16_time fp16_energy
-Conv1 51.8808 97.2844 319.582 601.966 12.81 18.758 388.092 650.649 340.037 590.664
-
-'''
-
-class TableGenerator:
-
- __ops_header_delimiter = "#"
- __table_header_delimter = "**"
- __time_col_name = "time"
- __energy_col_name = "energy"
-
- '''
- Stores all precision conversions used.
- '''
- precision_conversions = frozenset(["h2f", "f2h"])
-
- def __init__(self, network_name, dir_path, soc_ops_file, iters, profiler_binary_name):
- '''
- Args:
- dir_path: Path of directory containing network binaries
- iters: Number of iterations to run each binary for
- profiler_binary_name: Name of offline profiler binary to run
- '''
- self.__network_name = network_name
- self.__dir_path = dir_path
-
- # Name of the actual directory
- self.__soc_ops_filename = soc_ops_file
- self.__iters = iters
- self.__profiler_binary_name = profiler_binary_name
-
- # Path to results directory
- self.__results_dir_path = "%s_results" % self.__network_name
-
- # Outputted table file
- self.__table_filename = "%s_tensors.txt" % self.__network_name
-
- # Nested default dictionary of default dicts
- self.__table = self.__build_nested_default_dict()
-
-
- def generate_table(self):
- '''
- Generates a table file called <network_name>_tensors.txt in the following
- steps:
- 1. Runs the offline profiler against the inputted binaries to generate
- results files
- 2. Builds an internal table storing all data from the parsed results files
- the offline profiler generated
- 3. Writes the internal table to <network_name>_tensors.txt file and uses the
- <network_name>_ops.txt file as a guideline in terms of row order
- '''
- #self.__run_inputted_binaries()
- self.__build_internal_table()
- self.__output_table_to_file()
-
-
- def __run_inputted_binaries(self):
- '''
- Invokes the profiler to run all appropriate binaries (must start with the network
- name) in the inputted directory. Result files generated by the profiler are
- stored in the results file directory and are named <binary_name>.txt. These results
- files are then parsed in a later step to generate the table
- '''
- if not os.path.isdir(self.__dir_path):
- print("ERROR: Directory %s not found" % self.__dir_path)
- exit(1)
-
- try:
- os.mkdir(self.__results_dir_path)
- except OSError:
- if os.path.isdir(self.__results_dir_path):
- print("Directory already exists. Clearing directory.")
- for old_file in glob.glob(os.path.join(self.__results_dir_path, "*")):
- os.remove(old_file)
- else:
- print("ERROR: Directory doesn't exist but failed to create dir")
-
- for binary_name in os.listdir(self.__dir_path):
- binary_path = os.path.join(self.__dir_path, binary_name)
-
- if not self.__should_execute_file(binary_path):
- continue
-
- output_file = os.path.join(self.__results_dir_path, binary_name + ".txt")
- # No stdout/stderr piping needed for now
- subprocess.Popen([profiler_binary_name, binary_path, str(self.__iters), \
- output_file]).communicate()
-
-
- def __build_internal_table(self):
- '''
- Iterates through each results file generated by the runs of the offline
- profiler and stores the data in a dictionary in the following format:
- [operation name][approximation type OR conversion type][time/energy]
- '''
- for results_file_name in os.listdir(self.__results_dir_path):
- # Ignore if it's not a results file
- if results_file_name == self.__table_filename or \
- not results_file_name.startswith(self.__network_name):
- continue
-
- approx_type = self.__get_approximation_type(results_file_name)
- results_file = open(os.path.join(self.__results_dir_path, results_file_name), "r")
- for line in results_file:
- line = line.strip()
- op_name, total_time, total_energy = self.__parse_tensor_operation_line(line)
- # If the current operation is f2h or h2f
- if any(op_name.endswith(prec_conv) for prec_conv in TableGenerator.precision_conversions):
- # Get the original operation name (without the f2h/h2f) and the conversion type
- orig_op_name, conversion_type = self.__get_original_operation_name(op_name)
-
- if orig_op_name not in self.__table:
- print("ERROR: Conversion found but original %s is not in the table" % orig_op_name)
- exit(1)
-
- # Store f2h and h2f as columns in the row belonging to the original operation
- approx_type_no_fp_prefix = approx_type[5 : ]
- self.__table[orig_op_name][conversion_type + "_" + approx_type_no_fp_prefix][TableGenerator.__time_col_name] = total_time
- self.__table[orig_op_name][conversion_type + "_" + approx_type_no_fp_prefix][TableGenerator.__energy_col_name] = total_energy
-
- # Create a new row in the dictionary
- else:
- self.__table[op_name][approx_type][TableGenerator.__time_col_name] = total_time
- self.__table[op_name][approx_type][TableGenerator.__energy_col_name] = total_energy
- results_file.close()
-
-
- def __output_table_to_file(self):
- '''
- Outputs the internally stored table to a file using the <network_name>_ops.txt file as
- a guideline in the following steps:
- 1. Opens the ops file and the file to output the table to
- 2. Reads a line from the ops file (guaranteed to be the layers/NML header)
- 3. For each operation in the layer (or 1 operation if the "layer" is a NML), we store the
- time and the energy
- '''
- table_file_path = os.path.join(self.__results_dir_path, self.__table_filename)
- soc_operations_file = open(self.__soc_ops_filename, "r")
- table_file = open(table_file_path, "w")
-
- curr_line = soc_operations_file.readline().strip()
-
- while curr_line:
- # First line is always the layers line (#layer_name,num_ops)
- layer_name, num_ops = self.__parse_layer_info_line(curr_line)
-
- # List of strings, where each string is a row corresponding to an operation
- # in the layer
- ops_in_layer = []
-
- # Stores a list of elements in the header, which will be joined into a string
- # The header is only generated for the first operation in the layer
- # CRITICAL ASSUMPTION: All operations within a layer have the same # columns
- # or everything breaks bc the header is per layer, not per operation
- header = [TableGenerator.__table_header_delimter, layer_name, str(num_ops)]
-
- # Iterate through all operations within the layer
- for op_in_layer_count in range(num_ops):
- # Contains the operation name
- curr_line = soc_operations_file.readline().strip()
-
- # Stores a list of elements that will be joined to make up a row
- curr_op = [curr_line]
- operation_data = self.__table[curr_line]
- # Iterate through time/energy data for each approximation type corresponding
- # to the current operation
- for approx_type in operation_data:
- op_time = operation_data[approx_type][TableGenerator.__time_col_name]
- op_energy = operation_data[approx_type][TableGenerator.__energy_col_name]
- curr_op.append(op_time)
- curr_op.append(op_energy)
- if op_in_layer_count == 0:
- if approx_type == "fp32_perf20":
- header.append("fp32_time")
- header.append("fp32_energy")
- elif approx_type == "fp16_perf20":
- header.append("fp16_time")
- header.append("fp16_energy")
- elif approx_type.find("f2h_perf20") != -1:
- header.append("f2h_time")
- header.append("f2h_energy")
- else:
- header.append("%s_time" % approx_type)
- header.append("%s_energy" % approx_type)
- ops_in_layer.append(' '.join(curr_op))
- # Getting all operation rows and then writing everything because
- # calls to write() are slow (memory vs time tradeoff)
- table_file.write("%s\n%s\n" % (' '.join(header), '\n'.join(ops_in_layer)))
-
- curr_line = soc_operations_file.readline().strip()
-
-
- def __should_execute_file(self, file_path):
- '''
- Checks if the file at the given file path is a binary that should be run
- by the profiler. Must exist, be a binary, and must start with the network
- name as per our naming standards.
-
- Args:
- file_path: Path of the file to check
- '''
- return os.path.isfile(file_path) and os.access(file_path, os.X_OK) and \
- file_path.find(self.__network_name) != -1
-
-
- def __get_approximation_type(self, results_filename):
- '''
- Parses a given results filename for the approximation type.
- Format assumption: <network_name>_<approx_type>.txt
-
- Args:
- results_filename: Name of results file
-
- Returns:
- the approximation technique (ex: fp16)
- '''
- approx_type_start_ind = results_filename.find("_", results_filename.find("_") + 1) + 1
- approx_type_end_ind = results_filename.find(".txt")
- return results_filename[approx_type_start_ind : approx_type_end_ind]
-
-
- def __parse_tensor_operation_line(self, tensor_op_line):
- '''
- Parses a tensor operation line (within a output file from the offline
- profiler for the operation name, the total time used, and the total
- energy used
-
- Args:
- tensor_op_line: Tensor operation line from output file
-
- Returns:
- operation name
- total time used
- total energy used
- '''
- line_as_list = tensor_op_line.split(",")
- return line_as_list[0], line_as_list[1], line_as_list[2]
-
-
- def __build_nested_default_dict(self):
- '''
- Builds a nested default dictionary with an arbitrary number of levels
- '''
- return defaultdict(self.__build_nested_default_dict)
-
- def __get_original_operation_name(self, op_name):
- '''
- Parses an operation name containing _<conversion type> for the original
- operation name.
- Format assumption: <original_op_name>_<conversion type>
-
- Args:
- op_name: Name of the operation
-
- Returns:
- the original operation name
- '''
- underscore_ind = op_name.find("_")
- return op_name[ : underscore_ind], op_name[underscore_ind + 1 : ]
-
-
- def __parse_layer_info_line(self, layer_info_line): #layer_name,num_ops
- '''
- Parses a layer header (from the original ops.txt file) into the layer name
- and the number of operations
- Assumed format: #layer_name,num_ops
-
- Args:
- layer_info_line: Line at the beginning of each layer in the ops file
-
- Returns:
- layer name
- number of ops in the layer
- '''
- comma_ind = layer_info_line.find(",")
- return layer_info_line[layer_info_line.find(TableGenerator.__ops_header_delimiter) + 1 : comma_ind], \
- int(layer_info_line[comma_ind + 1 : ])
-
-
-if __name__ == "__main__":
- if len(sys.argv) != 6:
- print("python table_generator.py <network name> <binary dir path> <soc_ops file> <num itrs> <profiler bin path>")
- print("soc ops file: ~/soc_simular/%s_cifar10/%s_ops.txt")
- exit(1)
-
- network_name = sys.argv[1]
- binary_dir_path = sys.argv[2]
- soc_ops_file = sys.argv[3]
- num_iters = int(sys.argv[4])
- profiler_binary_name = sys.argv[5]
- table_gen = TableGenerator(network_name, binary_dir_path, soc_ops_file, num_iters, profiler_binary_name)
- table_gen.generate_table()
diff --git a/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_confs1.txt b/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_confs1.txt
deleted file mode 100644
index 69a3b7cc2fbbad37d571bf1009d4efbd982ce0f7..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_confs1.txt
+++ /dev/null
@@ -1,15 +0,0 @@
-9 9 9,9 9 9 9,9 9 9,9 9 9 9,9 9 9,9 9 9,9 9 9 9,9 9 9,9 9 9,9 9 9 9,9 9 9,9 9 9,9 9 9 9,9 9 9,9 9
-9 9 9,7,7,9 9 9 9,9 9 9,7,7,8 8 8,7,7,8 8 8,8 8 8,7,9 9 9,9 9
-9 9 9,7,7,8 8 8 8,8 8 8,9 9 9,7,7,8 8 8,7,7,7,8 8 8 8,9 9 9,9 9
-9 9 9,7,7,7,9 9 9,8 8 8,7,8 8 8,7,7,8 8 8,8 8 8,7,9 9 9,9 9
-9 9 9,7,7,7,8 8 8,8 8 8,7,7,9 9 9,7,7,7,9 9 9 9,9 9 9,9 9
-9 9 9,7,7,9 9 9 9,8 8 8,7,7,8 8 8,7,7,8 8 8,8 8 8,7,9 9 9,9 9
-9 9 9,7,7,7,9 9 9,8 8 8,7,8 8 8,7,7,8 8 8,8 8 8,7,9 9 9,9 9
-9 9 9,7,7,8 8 8 8,8 8 8,9 9 9,7,7,8 8 8,7,7,7,8 8 8 8,9 9 9,9 9
-9 9 9,7,7,9 9 9 9,9 9 9,7,7,8 8 8,7,7,8 8 8,8 8 8,7,9 9 9,9 9
-9 9 9,7,7,7,8 8 8,8 8 8,7,7,9 9 9,7,7,7,9 9 9 9,9 9 9,9 9
-9 9 9,7,7,9 9 9 9,8 8 8,7,7,8 8 8,7,7,8 8 8,8 8 8,7,9 9 9,9 9
-9 9 9,7,7,9 9 9 9,9 9 9,7,7,8 8 8,7,7,8 8 8,8 8 8,7,9 9 9,9 9
-9 9 9,7,7,7,9 9 9,8 8 8,7,8 8 8,7,7,8 8 8,8 8 8,7,9 9 9,9 9
-9 9 9,7,7,9 9 9 9,8 8 8,7,7,8 8 8,7,7,8 8 8,8 8 8,7,9 9 9,9 9
-9 9 9,7,7,8 8 8 8,8 8 8,9 9 9,7,7,8 8 8,7,7,7,8 8 8 8,9 9 9,9 9
diff --git a/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_confs2.txt b/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_confs2.txt
deleted file mode 100644
index 73bef415abe86b2cfb918aa56ab7a2ba13b9021d..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_confs2.txt
+++ /dev/null
@@ -1,31 +0,0 @@
-9 9 9,9 9 9 9,9 9 9,9 9 9 9,9 9 9,9 9 9,9 9 9 9,9 9 9,9 9 9,9 9 9 9,9 9 9,9 9 9,9 9 9 9,9 9 9,9 9
-9 9 9,8 8 8 8,8 8 8,8 8 8 8,7,8 8 8,4,7,7,4,8 8 8,8 8 8,7,8 8 8,8 8
-9 9 9,5,8 8 8,8 8 8 8,7,6,7,7,8 8 8,4,4,4,8 8 8 8,8 8 8,8 8
-9 9 9,7,4,8 8 8 8,7,8 8 8,4,7,8 8 8,4,4,8 8 8,7,8 8 8,8 8
-9 9 9,8 8 8 8,4,8 8 8 8,7,5,4,7,7,7,4,8 8 8,7,8 8 8,8 8
-9 9 9,8 8 8 8,7,7,7,6,7,7,8 8 8,4,4,4,7,8 8 8,8 8
-9 9 9,8 8 8 8,5,7,4,6,8 8 8 8,7,4,7,4,4,7,8 8 8,8 8
-9 9 9,8 8 8 8,4,8 8 8 8,8 8 8,4,4,7,7,8 8 8 8,8 8 8,5,7,8 8 8,8 8
-9 9 9,7,8 8 8,8 8 8 8,7,8 8 8,4,7,7,4,4,8 8 8,6,8 8 8,8 8
-9 9 9,8 8 8 8,4,8 8 8 8,7,4,7,8 8 8,7,7,8 8 8,8 8 8,7,8 8 8,8 8
-9 9 9,7,4,8 8 8 8,7,6,4,7,8 8 8,4,7,4,8 8 8 8,8 8 8,8 8
-9 9 9,8 8 8 8,4,8 8 8 8,7,4,7,8 8 8,7,7,8 8 8,8 8 8,7,8 8 8,8 8
-9 9 9,8 8 8 8,4,8 8 8 8,7,5,4,7,7,7,4,8 8 8,7,8 8 8,8 8
-9 9 9,7,4,8 8 8 8,7,8 8 8,4,7,8 8 8,4,4,8 8 8,7,8 8 8,8 8
-9 9 9,8 8 8 8,4,8 8 8 8,8 8 8,4,4,7,7,8 8 8 8,8 8 8,5,7,8 8 8,8 8
-9 9 9,5,8 8 8,8 8 8 8,7,6,7,7,8 8 8,4,4,4,8 8 8 8,8 8 8,8 8
-9 9 9,8 8 8 8,5,7,4,6,8 8 8 8,7,4,7,4,4,7,8 8 8,8 8
-9 9 9,7,8 8 8,8 8 8 8,7,8 8 8,4,7,7,4,4,8 8 8,6,8 8 8,8 8
-9 9 9,7,4,8 8 8 8,7,6,4,7,8 8 8,4,7,4,8 8 8 8,8 8 8,8 8
-9 9 9,5,5,8 8 8 8,4,6,4,7,8 8 8,4,4,4,7,8 8 8,8 8
-9 9 9,8 8 8 8,7,7,7,6,7,7,8 8 8,4,4,4,7,8 8 8,8 8
-9 9 9,7,4,8 8 8 8,7,8 8 8,8 8 8 8,7,7,4,4,8 8 8,7,8 8 8,8 8
-9 9 9,8 8 8 8,4,8 8 8 8,8 8 8,4,4,7,7,8 8 8 8,8 8 8,5,7,8 8 8,8 8
-9 9 9,8 8 8 8,7,7,7,6,7,7,8 8 8,4,4,4,7,8 8 8,8 8
-9 9 9,8 8 8 8,5,8 8 8 8,8 8 8,8 8 8,7,8 8 8,7,7,8 8 8,8 8 8,7,8 8 8,8 8
-9 9 9,5,8 8 8,8 8 8 8,7,6,7,7,8 8 8,4,4,4,8 8 8 8,8 8 8,8 8
-9 9 9,7,8 8 8,8 8 8 8,7,8 8 8,4,7,7,4,4,8 8 8,6,8 8 8,8 8
-9 9 9,8 8 8 8,5,7,4,6,8 8 8 8,7,4,7,4,4,7,8 8 8,8 8
-9 9 9,8 8 8 8,4,8 8 8 8,7,4,7,8 8 8,7,7,8 8 8,8 8 8,7,8 8 8,8 8
-9 9 9,8 8 8 8,4,8 8 8 8,7,5,4,7,7,7,4,8 8 8,7,8 8 8,8 8
-9 9 9,7,4,8 8 8 8,7,6,4,7,8 8 8,4,7,4,8 8 8 8,8 8 8,8 8
diff --git a/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_fp16.csv b/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_fp16.csv
deleted file mode 100644
index 04c4cfc4efb2b0fe6f94ddc332d356ba2966da72..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_fp16.csv
+++ /dev/null
@@ -1,148 +0,0 @@
-Add1,69.7114,211.862,107.8,104.062,6085.83,3099.48,2986.34,49.2963,152.515,80.4532,73.6474,4385.91,2317.11,2113.98
-Add10,41.8232,272.933,216.003,56.9294,13052.8,10330.2,2722.54,29.5763,193.08,152.806,40.2755,9233.85,7307.84,1926.04
-Add10_f2h,40.0563,257.396,205.254,52.142,12850.3,10247,2603.29,28.3409,182.148,145.252,36.8963,9087.18,7246.3,1840.92
-Add10_h2f,10.5152,61.7303,48.6618,13.0686,11780.8,9286.75,2494.08,7.45143,43.7235,34.4675,9.2562,8348.86,6581.42,1767.47
-Add11,32.499,205.175,160.15,45.0253,12627.7,9856.71,2770.94,22.9909,145.16,113.305,31.856,8930.63,6971.08,1959.62
-Add11_f2h,4.84751,25.3885,19.8298,5.55869,10456,8166.49,2289.46,3.43461,18.1215,14.1539,3.96771,7436.9,5808.46,1628.52
-Add11_h2f,2.71712,12.3719,9.65008,2.72179,9106.03,7102.66,2003.36,1.92229,8.92178,6.95893,1.96292,6563.12,5119.11,1444.06
-Add12,32.3458,201.907,158.806,43.1007,12485.6,9820.54,2665.04,22.8734,142.79,112.309,30.483,8830.29,6945.65,1884.77
-Add12_f2h,4.88662,25.364,19.9643,5.39974,10378.2,8169.14,2209.1,3.45883,18.0489,14.2063,3.84293,7376.52,5806.53,1570.11
-Add12_h2f,2.69777,11.7633,9.24658,2.51676,8720.78,6854.97,1865.81,1.90775,8.49592,6.67815,1.81791,6297.92,4950.42,1347.6
-Add13,32.2976,199.983,158.214,41.7697,12384.7,9798.1,2586.56,22.8397,141.436,111.896,29.5422,8758.82,6929.74,1829.23
-Add13_f2h,4.91853,25.4026,20.1163,5.28634,10314.5,8167.97,2146.57,3.50657,18.2597,14.4609,3.79914,7330.34,5804.95,1525.56
-Add13_h2f,2.71496,12.0093,9.49625,2.51304,8840.31,6990.41,1849.9,1.92046,8.68342,6.8666,1.81698,6383.37,5047.78,1335.71
-Add14,0.999932,9.47008,7.42388,2.0462,18954.6,14861.4,4093.23,0.708467,7.11012,5.57305,1.53723,14214.1,11144.8,3069.6
-Add14_f2h,1.88605,7.19323,5.64536,1.54786,7493.19,5878.86,1614.33,1.34509,5.54955,4.35727,1.1924,5686.64,4462.19,1224.59
-Add14_h2f,0.760782,0.960605,0.753025,0.20758,2523.02,1977.84,545.18,0.538123,1.10915,0.869399,0.23978,2911.43,2282.18,629.323
-Add15,0.354443,1.81062,1.41722,0.393395,10528.4,8243.7,2284.66,0.255481,2.29175,1.79496,0.496829,13969.3,10946.3,3023.19
-Add15_f2h,0.764484,1.36953,1.07351,0.296021,3102.43,2430.16,672.268,0.572894,1.59231,1.24879,0.343541,3452.8,2704.95,747.932
-Add15_h2f,0.120211,0.0438951,0.0343584,0.00953666,722.085,565.205,156.881,0.0858258,0.0897805,0.0702545,0.0195276,1484.29,1161.5,322.825
-Add1_f2h,314.261,894.668,472.564,422.104,5684.96,2999.37,2685.59,222.29,654.332,365.302,299.156,4151.15,2314.09,1902.21
-Add1_h2f,83.2799,265.625,135.314,130.311,6379.44,3249.94,3129.5,58.8888,190.41,99.6739,92.2071,4573.2,2394.11,2214.4
-Add2,69.1905,303.338,199.548,103.79,8768.52,5768.33,3000.19,48.9274,214.509,141.116,73.3959,6200.7,4079.22,2121.55
-Add2_f2h,336.556,1525.29,1077.85,447.443,9065.06,6405.97,2659.09,238.064,1078.88,762.399,316.488,6410.37,4530.13,1880.3
-Add2_h2f,83.1178,365.325,234.29,131.036,8790.52,5637.51,3153.01,58.7743,258.343,165.686,92.6601,6216.16,3986.69,2229.56
-Add3,40.9358,206.435,132.407,74.0277,10086.1,6469.28,3616.86,28.9503,146.001,93.6465,52.3555,7132.63,4575.01,2557.68
-Add3_f2h,52.9835,255.846,166.622,89.2241,9657.91,6289.83,3368.08,37.4671,180.924,117.829,63.0955,6829.52,4447.85,2381.69
-Add3_h2f,41.6412,204.32,129.501,74.8188,9814.92,6220.84,3594.07,29.4469,144.508,91.593,52.9164,6942.13,4400.1,2542.08
-Add4,37.6205,200.601,138.934,61.6676,10664.8,7386.36,3278.47,26.6043,141.874,98.2614,43.6138,7542.19,5223.74,2318.49
-Add4_f2h,146.069,779.141,555.206,223.935,10669.7,7603.38,3066.3,103.384,551.386,392.897,158.49,7544.72,5376.51,2168.23
-Add4_h2f,41.3499,213.133,145.707,67.426,10308.5,7047.34,3261.17,29.2407,150.732,103.047,47.6846,7289.72,4983.6,2306.13
-Add5,39.1711,216.321,149.235,67.0856,11045,7619.75,3425.3,27.7004,152.99,105.545,47.445,7810.9,5388.61,2422.31
-Add5_f2h,27.4739,144.775,100.707,44.0675,10539.5,7331.45,3208.09,19.4282,102.386,71.2208,31.165,7453.51,5184.78,2268.74
-Add5_h2f,20.8433,109.029,74.8169,34.2117,10461.4,7178.79,3282.61,14.7445,77.147,52.9395,24.2078,7398.96,5077.34,2321.65
-Add6,38.2773,222.684,163.353,59.3305,11635.7,8535.58,3100.14,27.0679,157.484,115.525,41.9589,8228.62,6036.27,2192.36
-Add6_f2h,78.3804,453.985,337.891,116.094,11585.2,8622.75,2962.45,55.4654,321.237,239.086,82.1516,8192.13,6097.33,2094.81
-Add6_h2f,20.7551,113.98,83.0303,30.9501,10983.3,8000.93,2982.38,14.6773,80.6183,58.7275,21.891,7767.8,5658.58,2109.24
-Add7,38.3104,225.263,168.705,56.5575,11759.8,8807.22,2952.55,27.0935,159.323,119.322,40.0017,8316.1,6228.2,2087.92
-Add7_f2h,81.46,477.128,362.784,114.344,11714.6,8907.2,2807.39,57.624,337.519,256.632,80.8876,8283.65,6298.49,1985.17
-Add7_h2f,20.7616,115.225,85.6469,29.5778,11099.7,8250.44,2849.26,14.6822,81.4998,60.5791,20.9209,7850.09,5834.99,2015.11
-Add8,42.0846,253.744,188.878,64.8666,12058.8,8976.12,3082.68,29.7613,179.461,133.584,45.8767,8527.74,6347.77,2180
-Add8_f2h,14.6636,82.9186,61.9626,20.956,11309.1,8451,2858.12,10.3711,58.6733,43.8445,14.8289,8000.2,5978.33,2021.89
-Add8_h2f,10.5141,57.5583,42.7041,14.8542,10948.7,8123.2,2825.55,7.43528,40.7375,30.2242,10.5133,7748.37,5748.74,1999.65
-Add9,41.8259,265.047,205.792,59.2543,12674.6,9841.07,2833.5,29.5785,187.445,145.539,41.9062,8963.23,6959.46,2003.8
-Add9_f2h,39.8499,247.783,193.75,54.033,12435.2,9723.35,2711.83,28.1894,175.299,137.075,38.2246,8793.58,6875.93,1917.67
-Add9_h2f,10.4589,60.1816,46.5522,13.6294,11508.3,8902.04,2606.31,7.39612,42.594,32.9479,9.64626,8144.6,6300.12,1844.51
-Conv1,310.228,694.841,342.376,352.465,5137.93,2796.38,2341.55,227.742,502.069,283.327,253.153,4000.56,2481.3,1665.08
-Conv10,481.652,3018.22,2355.36,662.857,12534.5,9781.99,2752.5,340.625,2134.28,1665.53,468.767,8863.57,6917.32,1946.32
-Conv10_f2h,16.267,94.4725,71.7156,22.7569,11613.2,8815.27,2797.92,11.5068,66.8653,50.7629,16.1033,8215,6235.99,1979.12
-Conv10_h2f,10.5438,65.7062,52.8554,12.8508,12463.8,10026.1,2437.66,7.45594,46.5025,37.4079,9.09478,8820.88,7095.76,1725.14
-Conv11,173.774,1077.96,835.557,242.405,12410.5,9620.47,2790,122.957,762.523,591.018,171.513,8775.98,6803.22,1972.86
-Conv11_f2h,6.79928,37.3658,28.7179,8.64791,10989.1,8446.21,2542.86,4.81142,26.5033,20.3687,6.13521,7787.5,5985.57,1802.09
-Conv11_h2f,2.77964,12.8278,10.0359,2.79191,9229.29,7220.6,2008.69,1.96619,9.21135,7.20639,2.00505,6624.71,5182.79,1441.97
-Conv12,172.103,1054.21,824.356,229.857,12254.7,9583.51,2671.18,121.754,745.623,583.022,162.614,8665.94,6777.23,1888.86
-Conv12_f2h,6.35668,34.3,26.5952,7.70476,10790.7,8366.52,2424.14,4.49979,24.3436,18.8767,5.46737,7649.53,5931.31,1718.37
-Conv12_h2f,2.76929,12.2454,9.6556,2.58978,8837.54,6968.57,1868.97,1.95863,8.84718,6.97582,1.87148,6378.23,5029.25,1349.07
-Conv13,171.684,1041.08,819.652,221.43,12131.7,9552.2,2579.48,121.445,736.263,579.64,156.639,8579.07,6755.25,1824.02
-Conv13_f2h,6.20782,33.1375,25.8857,7.25183,10669.3,8333.91,2335.41,4.39486,23.5409,18.3911,5.15048,7566.21,5910.3,1656.12
-Conv13_h2f,2.76826,12.0417,9.55355,2.48819,8700.26,6902.56,1797.7,1.95823,8.68074,6.88708,1.79382,6270.3,4974.74,1295.67
-Conv1_f2h,7.62006,16.0868,8.21342,7.87343,4543.5,2445.6,2097.91,5.45871,12.1698,7.31434,5.59711,3581.38,2233.61,1494.73
-Conv1_h2f,83.4767,247.452,143.632,103.82,5928.39,3441,2487.39,59.0279,183.614,113.023,73.667,4398.72,2707.49,1764.94
-Conv2,1399.51,5412.29,3378.78,2033.51,7735.19,4829.01,2906.18,989.654,3830.09,2393.05,1438.02,5474.06,3420.35,2055.12
-Conv2_f2h,109.635,397.898,194.591,203.307,7252.79,3544.58,3708.21,77.5331,282.821,139.764,143.829,5150.57,2542.09,2622.66
-Conv2_h2f,83.3307,436.945,336.643,100.302,10486.9,8079.59,2407.3,58.9247,308.997,238.072,70.9279,7415.87,5713.65,1702.27
-Conv3,354.47,1585.56,948.24,637.318,8947.03,5350.96,3596.07,250.683,1121.23,670.544,450.697,6326.72,3783.93,2542.83
-Conv3_f2h,28.5399,124.01,71.14,52.8695,8689.56,4984.75,3704.81,20.1903,87.7504,50.3439,37.4082,6145.43,3525.53,2620.02
-Conv3_h2f,41.6322,203.92,135.55,68.3698,9796.09,6511.67,3284.41,29.4395,144.212,95.8623,48.3504,6927.44,4604.9,2322.58
-Conv4,543.421,2780.23,1853.46,926.763,10232.8,6821.89,3410.92,384.277,1965.96,1310.62,655.348,7235.83,4823.95,2411.91
-Conv4_f2h,52.8973,253.818,152.989,100.829,9599.81,5786.36,3813.45,37.4134,179.493,108.19,71.3037,6789.28,4092.37,2696.95
-Conv4_h2f,41.5238,236.022,174.197,61.8248,11368,8390.24,2977.78,29.3628,166.909,123.187,43.7213,8038.87,5933.13,2105.74
-Conv5,278.988,1427.88,945.3,482.585,10236.5,6776.91,3459.59,197.282,1009.7,668.449,341.252,7238.45,4792.15,2446.32
-Conv5_f2h,14.8008,70.9043,45.1842,25.7201,9581.37,6105.87,3475.5,10.4668,50.1662,31.9688,18.1977,6778.52,4319.78,2458.78
-Conv5_h2f,20.8418,110.25,77.5339,32.7165,10579.5,7440.09,3139.45,14.7375,78.0695,54.9032,23.1665,7491.32,5268.35,2222.99
-Conv6,490.314,2738.69,1950.74,787.949,11171.6,7957.5,3214.1,346.719,1936.58,1379.4,557.184,7899.63,5626.93,2272.73
-Conv6_f2h,28.103,144.6,96.262,48.3381,10291.3,6851.06,3440.28,19.8745,102.268,68.0815,34.1867,7277.97,4845.06,2432.93
-Conv6_h2f,20.8654,122.714,92.9633,29.7508,11762.4,8910.71,2851.66,14.7546,86.7919,65.7503,21.0417,8318.79,6302.01,2016.79
-Conv7,514.632,2922.64,2150.64,772,11358.7,8358.43,3000.25,363.913,2066.64,1520.74,545.901,8031.96,5910.47,2121.51
-Conv7_f2h,28.2053,152.501,107.622,44.8785,10813.7,7631.44,3182.25,19.9546,107.904,76.1494,31.7549,7647.43,5396.98,2250.48
-Conv7_h2f,20.8436,124.457,96.3593,28.0977,11942.1,9246.03,2696.05,14.7391,88.0253,68.1525,19.8729,8446.1,6539.32,1906.8
-Conv8,240.716,1378.49,1006.49,371.999,11454.2,8363.32,3090.86,170.247,974.885,711.794,263.094,8099.49,5913.93,2185.59
-Conv8_f2h,9.68469,49.5859,35.2796,14.3062,10241.5,7287.22,2954.3,6.87516,35.2358,25.0675,10.1686,7251.09,5159.52,2091.63
-Conv8_h2f,10.5597,59.0058,44.3452,14.6605,11175.6,8398.89,2776.67,7.46752,41.7631,31.3867,10.3764,7908.98,5943.95,1965.05
-Conv9,477.878,2885.71,2189.28,696.429,12080.4,9165.65,2914.72,338.05,2040.9,1548.28,492.646,8542.53,6481.6,2061.04
-Conv9_f2h,16.2347,90.1067,65.6407,24.466,11099.8,8085.77,3014.08,11.4848,63.772,46.458,17.3143,7851.77,5719.72,2132.09
-Conv9_h2f,10.5851,63.9065,50.4134,13.4931,12075.4,9525.82,2549.57,7.48625,45.2319,35.6818,9.55026,8545.5,6741.23,1804.29
-Mul1,5.49296,37.0659,29.09,7.97593,13530.7,10624,2906.69,3.93147,26.5587,20.8353,5.72401,9606.57,7543.24,2063.55
-Mul1_f2h,2.18449,8.22985,6.46583,1.76402,7507.4,5897.26,1610.14,1.54872,6.15957,4.84093,1.31877,5588.96,4391.09,1197.99
-Mul1_h2f,0.810781,1.37103,1.07631,0.294716,3393.71,2664.12,729.59,0.574493,1.51826,1.19191,0.326392,3760.1,2951.69,808.488
-Mul2,1.31517,8.1931,6.40985,1.78324,12447.5,9739.56,2707.96,0.931548,6.00801,4.69986,1.30826,9120.64,7136.62,1984.19
-Mul2_f2h,1.76803,6.49192,5.08483,1.40709,7151.61,5599.64,1551.97,1.26447,5.09282,3.99098,1.10192,5498.59,4306.31,1192.38
-Mul2_h2f,0.133188,0.0183427,0.0143504,0.0039923,261.068,204.28,56.7875,0.0949979,0.06404,0.0500845,0.013956,879.603,688.197,191.411
-Pool1,79.7262,360.302,206.802,153.501,9038.84,5188.08,3850.75,56.3789,254.792,146.244,108.551,6391.73,3668.8,2722.98
-Pool1_f2h,106.496,467.712,270.25,197.462,8783.74,5075.34,3708.4,75.3091,330.755,191.123,139.636,6211.29,3589.1,2622.27
-Pool1_h2f,20.9488,92.2916,53.56,38.7316,8810.98,5113.32,3697.66,14.8149,65.2847,37.8887,27.3971,6231.7,3616.65,2615.16
-Pool2,40.8451,210.857,135.193,75.6642,10325.2,6620.16,3705.01,28.8847,149.127,95.6146,53.5134,7301.99,4681.87,2620.15
-Pool2_f2h,52.6109,263.231,170.165,93.0664,10007,6469.01,3537.99,37.2057,186.157,120.341,65.8167,7076.35,4574.53,2501.84
-Pool2_h2f,10.5892,50.2118,32.2214,17.9904,9482.45,6084.99,3397.46,7.49375,35.5699,22.8258,12.7444,6710.71,4306.37,2404.39
-Pool3,21.7732,125.807,90.0357,35.7709,11556.7,8270.76,3285.91,15.3981,89.0019,63.696,25.3063,8175.07,5850.69,2324.42
-Pool3_f2h,27.105,148.004,106.551,41.4535,10921,7862.21,3058.75,19.1678,104.677,75.3585,29.3184,7723.33,5560.2,2163.15
-Pool3_h2f,5.37692,25.667,18.3482,7.31879,9547.33,6824.97,2722.36,3.80213,18.2207,13.0249,5.19588,6777.51,4844.84,1932.7
-Pool4,12.2268,81.0192,62.5832,18.436,13254.2,10238.3,3015.89,8.64895,57.3698,44.3151,13.055,9382.73,7247.8,2134.97
-Pool4_f2h,14.3183,85.3146,66.1354,19.1792,11917,9238.05,2678.99,10.1261,60.363,46.7931,13.5702,8430.6,6535.39,1895.24
-Pool4_h2f,2.76689,12.3171,9.50437,2.81277,8901.99,6869.12,2032.88,1.95715,8.87091,6.84512,2.02583,6408.16,4944.77,1463.42
-Pool5,4.24587,28.8535,22.6878,6.16569,13613.1,10704.3,2908.83,3.01182,20.5632,16.1689,4.39464,9690.26,7619.75,2070.69
-Pool5_f2h,4.30952,21.6535,17.0404,4.6131,10038.8,7899.74,2139.08,3.05175,15.4491,12.159,3.29042,7146.27,5623.84,1522.54
-Pool5_h2f,0.789328,1.12606,0.885458,0.240603,2854.59,2244.62,609.971,0.558354,1.28688,1.01189,0.27502,3258.62,2562.17,696.513
-Relu1,63.043,222.775,109.755,113.019,7068.58,3483,3585.58,44.5829,158.651,79.4284,79.9495,5034.27,2521.06,2536.23
-Relu10,7.8553,54.9037,42.8846,12.0191,13979.1,10918.9,3060.23,5.55636,38.9249,30.404,8.52113,9908.04,7739.05,2169.03
-Relu10_f2h,14.2674,85.1708,66.8096,18.3612,11939.8,9365.82,2573.95,10.0908,60.2697,47.2767,12.9932,8447.54,6626.47,1821.1
-Relu10_h2f,10.4698,61.6665,48.0288,13.6376,11779.2,9174.16,2605.03,7.40475,43.6532,33.9994,9.654,8336.17,6492.58,1843.64
-Relu11,2.09916,16.791,13.0701,3.72095,15998.3,12453,3545.28,1.48462,12.0634,9.39021,2.67327,11491.9,8945.38,2546.63
-Relu11_f2h,4.48398,23.4935,18.3062,5.18733,10483.3,8168.53,2314.74,3.17253,16.7097,13.0203,3.68949,7455.03,5808.96,1646.13
-Relu11_h2f,2.65339,11.6345,9.04902,2.58551,8767.81,6819.4,1948.41,1.87634,8.37685,6.51523,1.86173,6311.27,4908.75,1402.6
-Relu12,2.09976,17.1837,13.475,3.70873,16368.8,12836,3532.8,1.48516,12.3639,9.69591,2.66821,11777.3,9235.93,2541.54
-Relu12_f2h,4.44727,22.6715,17.7981,4.87339,10189.2,7998.76,2190.47,3.14699,16.1439,12.6738,3.47034,7246.5,5688.6,1558.02
-Relu12_h2f,2.64916,11.3108,8.86276,2.44801,8539.6,6691.38,1848.22,1.87333,8.17249,6.4039,1.76875,6170.04,4834.82,1335.34
-Relu13,2.10382,16.7344,13.1973,3.53714,15914.8,12551.1,3363.76,1.48869,12.0067,9.46927,2.53767,11417,9004.38,2412.85
-Relu13_f2h,4.36041,22.0096,17.3783,4.63133,10092.1,7968.08,2123.99,3.0874,15.6907,12.3898,3.30126,7183.38,5671.67,1511.87
-Relu13_h2f,2.72796,11.4339,9.01109,2.4228,8560.24,6746.45,1813.78,2.03488,8.23175,6.48774,1.74417,6172.8,4865.11,1307.81
-Relu14,1.14743,10.6248,8.32102,2.30382,18530.7,14512.9,4017.87,0.811516,7.89588,6.18393,1.71212,13778.4,10791.3,2987.38
-Relu14_f2h,1.5964,5.26066,4.12403,1.13663,6435.18,5042.95,1392.23,1.14442,4.24048,3.32542,0.91515,5108.03,4003.08,1105.06
-Relu14_h2f,0.762322,0.9319,0.729587,0.202312,2419.48,1894.24,525.243,0.539977,1.14939,0.899736,0.249678,2965.98,2321.79,644.251
-Relu1_f2h,116.511,379.888,188.365,191.522,6536.78,3247.4,3289.38,82.4051,270.74,136.938,135.452,4668.45,2369.38,2327.06
-Relu1_h2f,83.4086,300.518,148.77,151.748,7206.56,3567.67,3638.89,58.9804,213.679,107.062,107.336,5124.37,2567.66,2573.96
-Relu2,62.4233,282.215,169.665,112.55,9042.07,5436.06,3606.01,44.1442,199.587,119.994,79.596,6394.13,3844.28,2549.94
-Relu2_f2h,106.67,463.637,286.355,177.281,8692.96,5369.01,3323.95,75.4328,327.879,202.516,125.367,6147.13,3796.78,2350.42
-Relu2_h2f,83.0734,372.529,221.009,151.52,8968.66,5320.81,3647.85,58.7425,263.431,156.291,107.144,6342.03,3762.66,2579.46
-Relu3,31.1491,157.975,97.2597,60.7158,10143.1,6244.72,3898.34,22.0274,111.732,68.79,42.9423,7173.3,4416.4,2756.93
-Relu3_f2h,53.9219,262.044,163.271,98.7728,9719.42,6055.82,3663.6,38.1317,185.316,115.466,69.8509,6872.96,4282.31,2590.67
-Relu3_h2f,41.4745,201.753,123.336,78.4172,9731.62,5949.14,3782.48,29.3302,142.684,87.2272,55.4573,6883.19,4207.91,2675.32
-Relu4,31.1126,165.225,109.288,55.9374,10620.9,7025.18,3595.76,22.0035,116.872,77.306,39.5668,7511.45,4968.48,2543
-Relu4_f2h,52.5946,268.222,180.055,88.1672,10199.7,6846.98,3352.7,37.1932,189.687,127.336,62.3518,7212.66,4841.86,2370.81
-Relu4_h2f,41.3761,210.186,137.878,72.3072,10159.6,6664.53,3495.09,29.259,148.644,97.5098,51.1349,7184.42,4712.91,2471.53
-Relu5,15.6197,87.4008,58.9328,28.468,11190.8,7545.75,3645.04,11.048,61.8499,41.7045,20.1457,7916.78,5338.18,2578.64
-Relu5_f2h,27.1876,142.132,96.6157,45.5163,10455.9,7107.57,3348.35,19.2268,100.527,68.3345,32.1932,7394.61,5026.63,2368
-Relu5_h2f,20.7564,107.244,71.9782,35.2657,10333.7,6935.58,3398.08,14.6781,75.8517,50.9089,24.9429,7308.38,4905.11,2403.28
-Relu6,15.5774,91.8805,65.7777,26.1027,11796,8444.84,3351.21,11.0158,65.0123,46.543,18.4696,8345.51,5974.6,2370.94
-Relu6_f2h,26.9604,148.182,106.898,41.2837,10992.7,7930.13,3062.55,19.0651,104.8,75.6027,29.1976,7774.08,5608.24,2165.85
-Relu6_h2f,20.7925,111.946,79.7133,32.2323,10779.9,7676.09,3103.81,14.709,79.2691,56.4457,22.8237,7636.46,5437.77,2198.71
-Relu7,15.5863,93.2475,68.0626,25.1848,11966.2,8734.34,3231.84,11.0234,65.9937,48.1698,17.8242,8467.81,6180.86,2286.99
-Relu7_f2h,27.0202,149.73,110.21,39.5201,11082.9,8157.67,2925.21,19.1073,105.894,77.944,27.9502,7837.75,5769.07,2068.69
-Relu7_h2f,20.7296,113.484,82.3887,31.0951,10948.8,7948.82,3000.02,14.6587,80.2669,58.2735,21.9936,7743.7,5621.92,2121.8
-Relu8,7.88397,50.8594,37.3843,13.4751,12900,9482.44,3417.54,5.60997,36.5052,26.8322,9.67313,9199.71,6762.66,2437.09
-Relu8_f2h,14.4739,80.2487,59.2479,21.0008,11105.4,8199.18,2906.22,10.2403,56.8303,41.9579,14.8727,7866.72,5808.05,2058.7
-Relu8_h2f,10.4677,57.0219,41.8152,15.2067,10895,7989.54,2905.49,7.40341,40.3631,29.5989,10.7642,7710.49,5654.25,2056.24
-Relu9,7.84042,52.587,40.301,12.286,13413.6,10279.8,3133.81,5.54547,37.2786,28.5693,8.70947,9505.87,7285.1,2220.81
-Relu9_f2h,14.2726,83.3662,64.1642,19.202,11681.8,8991.1,2690.7,10.0949,58.9936,45.4054,13.5884,8264.16,6360.65,1903.53
-Relu9_h2f,10.4563,59.3499,45.3517,13.9982,11352.1,8674.64,2677.47,7.39481,42.0028,32.0961,9.90692,8032.96,6138.36,1894.63
-Softmax1,2.01231,8.10635,6.34144,1.76491,8058.61,6304.39,1754.22,1.42328,5.95817,4.66119,1.29711,5923.64,4634.63,1289.13
diff --git a/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_fp32.csv b/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_fp32.csv
deleted file mode 100644
index 2e203cf73d4f5220f9f3217398c952496028fb62..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_fp32.csv
+++ /dev/null
@@ -1,50 +0,0 @@
-Add1,113.913,376.561,219.636,156.925,6609.15,3854.17,2754.97,80.5497,282.75,177.622,111.325,4961.17,3115.93,1954.23
-Add10,46.7852,353.064,295.37,57.6943,15092.7,12626.5,2466.15,33.0858,249.698,208.891,40.8191,10672.6,8928.67,1744.47
-Add11,32.7593,228.974,188.206,40.768,13979,11490.1,2488.93,23.1655,161.932,133.101,28.8363,9885.52,8125.42,1760.39
-Add12,32.7648,220.92,180.753,40.1662,13485,11033.3,2451.71,23.1723,156.257,127.848,28.4139,9536.19,7802.45,1733.98
-Add13,32.723,215.055,175.489,39.5662,13144.2,10726,2418.24,23.1396,152.085,124.105,27.9836,9295.27,7585.25,1710.24
-Add14,0.902452,1.91287,1.55297,0.359903,4206.37,3415.11,791.258,0.639486,1.96075,1.59154,0.36925,4301.37,3491.69,809.769
-Add15,0.226743,0.146973,0.119291,0.0276818,1268.32,1029.69,238.626,0.161374,0.274735,0.222974,0.0517663,2347.78,1906.32,441.514
-Add2,114.041,707.602,550.188,157.413,12409.4,9648.8,2760.62,80.6401,500.915,389.6,111.35,8784.41,6832.28,1952.72
-Add3,51.2818,306.368,231.407,74.9613,11948.4,9024.9,2923.5,36.2641,216.686,163.674,53.0143,8450.22,6382.88,2067.43
-Add4,51.329,344.524,275.839,68.6848,13425,10748.6,2676.4,36.2967,243.665,195.087,48.5789,9494.83,7601.95,1892.93
-Add5,48.2779,312.538,246.161,66.377,12947.4,10197.6,2749.79,34.1397,221.022,174.082,46.9412,9155.71,7211.24,1944.51
-Add6,48.3038,331.31,269.638,61.6728,13717.7,11164.2,2553.51,34.1584,234.299,190.684,43.6161,9700.3,7894.61,1805.74
-Add7,48.1751,337.048,277.011,60.0367,13992.6,11500.2,2492.4,34.0674,238.357,195.898,42.4598,9894.64,8132.16,1762.55
-Add8,46.6813,323.76,263.597,60.1628,13871.3,11293.7,2577.64,33.0123,228.964,186.417,42.5484,9808.96,7986.22,1822.79
-Add9,46.6775,338.552,280.794,57.7577,14509.8,12034.3,2475.46,33.0125,239.488,198.63,40.8649,10264.6,8513.31,1751.56
-Conv1,163.415,464.69,270.83,193.861,5719.79,3344.04,2375.74,115.618,364.219,239.324,137.798,4496.91,2961.18,1689.91
-Conv10,802.661,5895.34,4887.39,1007.95,14689.8,12178.3,2511.49,567.577,4168.67,3455.92,712.856,10387.4,8611.5,1776.16
-Conv11,308.859,2238.17,1841.36,396.805,14494.3,11924.8,2569.46,218.426,1582.75,1302.12,280.685,10249.2,8432.33,1817.28
-Conv12,308.957,2143.29,1754.35,388.942,13875.6,11357.9,2517.72,218.489,1515.61,1240.55,275.097,9811.8,8031.51,1780.54
-Conv13,308.526,2076.4,1693.52,382.878,13461.8,10980,2481.86,218.187,1468.29,1197.52,270.808,9519.36,7764.54,1755.1
-Conv2,1186.37,5295.79,3610.95,1684.84,9029.61,6180.44,2849.17,840.943,3760.72,2581.03,1191.77,6467.54,4470.42,2016.67
-Conv3,613.82,3267.16,2333.45,933.711,10647.5,7604.92,3042.61,434.112,2311.16,1650.96,660.338,7532.26,5381.04,2151.65
-Conv4,982.846,5808.36,4413.44,1394.92,11819.9,8981.38,2838.55,695.005,4107.39,3121,986.415,8358.48,6351.33,2007.22
-Conv5,491.91,3047.42,2348.81,698.608,12391.2,9550.74,2840.5,347.871,2154.95,1660.93,494.035,8762.18,6753.64,2008.58
-Conv6,858.952,5554.16,4403.19,1150.97,12932.7,10252.8,2679.96,607.382,3927.42,3113.55,813.89,9144.98,7249.96,1895.06
-Conv7,859.425,5760.38,4659.21,1101.17,13405.5,10842.9,2562.58,607.715,4073.23,3294.58,778.676,9479.18,7667.16,1812.06
-Conv8,434.046,2940.43,2368.34,572.081,13549.6,10913.5,2636.05,306.938,2079.26,1674.71,404.559,9581.1,7717.15,1864.02
-Conv9,801.893,5651.89,4624.92,1026.97,14096.7,11535.3,2561.33,567.034,3996.52,3270.33,726.23,9967.96,8156.84,1811.22
-Mul1,10.6715,65.8927,53.5391,12.3536,12394.8,10071.9,2322.88,7.57836,46.691,37.9335,8.75846,8780.28,7134.75,1645.72
-Mul2,0.821147,1.66598,1.35236,0.313621,4076.84,3309.78,767.066,0.582562,1.7168,1.39365,0.323189,4224.31,3430.04,794.372
-Pool1,175.393,1012.62,726.774,285.844,11549.1,8289.34,3259.78,124.05,716.6,514.49,202.181,8172.74,5868.18,2305.37
-Pool2,88.7044,575.997,444.625,131.372,12987.9,10025.6,2962.21,62.7347,407.367,314.456,92.9131,9184.52,7089.77,2094.78
-Pool3,45.2833,307.898,247.595,60.3023,13598.6,10935.2,2663.36,32.0292,217.79,175.137,42.6548,9616.06,7732.71,1883.4
-Pool4,24.6055,179.513,148.419,31.0941,14591.4,12063.9,2527.45,17.4004,126.964,104.972,21.9976,10319,8531.59,1787.91
-Pool5,8.20681,50.2013,40.8424,9.35894,12226.9,9947.17,2279.71,5.82151,35.6921,29.0395,6.65352,8656.71,7042.81,1614.13
-Relu1,75.1381,267.733,149.248,118.484,7127.84,3973.96,3153.88,53.1331,197.389,117.092,83.9442,5255.76,3118.27,2234.45
-Relu10,9.31493,65.6928,54.5384,11.1544,14104.6,11709.8,2394.86,6.58686,46.4969,38.6024,7.89659,9982.66,8287.84,1695.28
-Relu11,2.49349,12.8041,10.5081,2.29598,10267.6,8426.39,1841.24,1.76354,9.25156,7.5928,1.65903,7415.31,6085.61,1329.91
-Relu12,2.50068,12.3579,10.0966,2.26132,9872.52,8066.18,1806.35,1.77005,8.95586,7.31638,1.63973,7136.08,5830.14,1306.13
-Relu13,2.48762,12.2284,9.96443,2.26399,9833.11,8012.58,1820.53,1.75929,8.83304,7.19779,1.63547,7102.38,5787.52,1315.04
-Relu14,0.846016,1.57242,1.27739,0.29503,3703.4,3008.56,694.844,0.599154,1.69071,1.37363,0.317122,3975.03,3229.61,745.515
-Relu2,74.295,455.493,338.819,116.674,12261.1,9120.32,3140.75,52.5363,322.394,239.897,82.5246,8677.47,6456.88,2221.33
-Relu3,36.6237,218.815,161.907,56.9082,11949.1,8841.42,3107.67,25.8986,154.77,114.524,40.248,8450.92,6253.36,2197.68
-Relu4,36.7139,244.573,191.979,52.5941,13329.1,10462.8,2866.31,25.9761,173.026,135.817,37.2093,9428.22,7400.79,2027.47
-Relu5,18.3751,115.933,90.1275,25.8055,12618,9809.37,2808.64,12.9942,82.009,63.7545,18.2548,8924.67,6938.12,1986.59
-Relu6,18.3515,122.286,98.2308,24.0552,13327.1,10705.5,2621.61,12.9773,86.4993,69.4836,17.016,9426.46,7572.14,1854.36
-Relu7,18.3889,125.084,101.453,23.631,13603.6,11033.6,2570.02,13.0046,88.4856,71.7689,16.7172,9621.58,7803.86,1817.78
-Relu8,9.34284,60.6176,48.9763,11.6413,12976.3,10484.3,2492.01,6.60743,42.914,34.6725,8.24179,9185.09,7421.14,1764
-Relu9,9.34283,63.4928,52.2617,11.2311,13592.4,11188.1,2404.33,6.60725,44.9455,36.9955,7.95121,9621.07,7919.28,1702.05
-Softmax1,2.09116,9.17789,7.4508,1.72709,8772.87,7122.11,1650.76,1.47902,6.75862,5.48652,1.27228,6456.75,5241.62,1215.29
diff --git a/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_layers.txt b/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_layers.txt
deleted file mode 100644
index af6469192145b246beaec42cf42a6629e5ed1a93..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_layers.txt
+++ /dev/null
@@ -1,15 +0,0 @@
-Conv1,2000,3,32,32,64,3,3,3,1,1
-Conv2,2000,64,32,32,64,64,3,3,1,1
-Conv3,2000,64,16,16,128,64,3,3,1,1
-Conv4,2000,128,16,16,128,128,3,3,1,1
-Conv5,2000,128,8,8,256,128,3,3,1,1
-Conv6,2000,256,8,8,256,256,3,3,1,1
-Conv7,2000,256,8,8,256,256,3,3,1,1
-Conv8,2000,256,4,4,512,256,3,3,1,1
-Conv9,2000,512,4,4,512,512,3,3,1,1
-Conv10,2000,512,4,4,512,512,3,3,1,1
-Conv11,2000,512,2,2,512,512,3,3,1,1
-Conv12,2000,512,2,2,512,512,3,3,1,1
-Conv13,2000,512,2,2,512,512,3,3,1,1
-FC1,2000,512,512,512
-FC2,2000,512,512,10
diff --git a/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_naive1.txt b/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_naive1.txt
deleted file mode 100644
index 90a09b7a87bfde672e576b124225a9efbebe069c..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_naive1.txt
+++ /dev/null
@@ -1,2 +0,0 @@
-9 9 9,9 9 9 9,9 9 9,9 9 9 9,9 9 9,9 9 9,9 9 9 9,9 9 9,9 9 9,9 9 9 9,9 9 9,9 9 9,9 9 9 9,9 9 9,9 9
-8 8 8,7,7,7,7,7,7,7,7,7,7,7,7,7,7
diff --git a/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_naive_results1.csv b/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_naive_results1.csv
deleted file mode 100644
index 3036f34f281fb2142622187df7d369b1a9dbcd3e..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_naive_results1.csv
+++ /dev/null
@@ -1,14 +0,0 @@
-Time
-Configuration,Total,Improvement
-c0,9504.422158,0.999999989478582
-c1,1323.9068,7.17907139693886
-
-c1,1323.9068
-
-Energy
-Configuration,Total,Improvement
-c0,58514.286843,0.999999998291016
-c1,4256.555187,13.7468640479566
-
-c1,4256.555187
-
diff --git a/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_ops.txt b/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_ops.txt
deleted file mode 100644
index 2075774fde3e66afd1a1946cac46b87038a6486f..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_ops.txt
+++ /dev/null
@@ -1,64 +0,0 @@
-#Conv1,3
-Conv1
-Add1
-Relu1
-#Conv2,4
-Conv2
-Add2
-Relu2
-Pool1
-#Conv3,3
-Conv3
-Add3
-Relu3
-#Conv4,4
-Conv4
-Add4
-Relu4
-Pool2
-#Conv5,3
-Conv5
-Add5
-Relu5
-#Conv6,3
-Conv6
-Add6
-Relu6
-#Conv7,4
-Conv7
-Add7
-Relu7
-Pool3
-#Conv8,3
-Conv8
-Add8
-Relu8
-#Conv9,3
-Conv9
-Add9
-Relu9
-#Conv10,4
-Conv10
-Add10
-Relu10
-Pool4
-#Conv11,3
-Conv11
-Add11
-Relu11
-#Conv12,3
-Conv12
-Add12
-Relu12
-#Conv13,4
-Conv13
-Add13
-Relu13
-Pool5
-#FC1,3
-Mul1
-Add14
-Relu14
-#FC2,2
-Mul2
-Add15
diff --git a/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_promise_confs1.txt b/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_promise_confs1.txt
deleted file mode 100644
index e7b8720b064ac873815b3222371f587b6d3eace9..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_promise_confs1.txt
+++ /dev/null
@@ -1,48 +0,0 @@
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diff --git a/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_promise_confs2.txt b/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_promise_confs2.txt
deleted file mode 100644
index f846e81c4b2ab1c7681debe4ec84de99be49fade..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_promise_confs2.txt
+++ /dev/null
@@ -1,52 +0,0 @@
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diff --git a/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_promise_results1.csv b/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_promise_results1.csv
deleted file mode 100644
index 3cc252f7f64c7b9fecac6fd7a7793d5560c18285..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_promise_results1.csv
+++ /dev/null
@@ -1,572 +0,0 @@
-Compute Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,1108.984,7471.505,3792.343,6973.454,3475.891,6007.756,6530.41,3324.8076,6053.9348,6493.6098,2479.9481,2376.5679,2353.8847,69.37799,1.812953,58514.286843,0.999999998291016
-c1,1129.478,6358.145,1949.97,157.113483,78.556742,77.680494,157.113483,59.008124,3203.344,157.113483,39.466907,29.645681,39.466907,1.117251,0.021821,13437.241376,4.35463535782335
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-c8,1108.984,6358.145,1949.97,157.113483,78.556742,118.016247,157.113483,59.008124,77.680494,6493.6098,39.466907,39.466907,2353.8847,1.117251,0.021821,18992.154959,3.08097141484064
-c9,1129.478,6358.145,1949.97,157.113483,78.556742,77.680494,157.113483,78.556742,77.680494,77.680494,39.466907,29.645681,1286.6509,57.16078,10.00372,11564.90292,5.05964353888719
-c10,1108.984,7471.505,1949.97,157.113483,78.556742,77.680494,157.113483,59.008124,157.113483,77.680494,39.466907,2376.5679,39.466907,1.117251,0.010789,13751.355057,4.25516512190538
-c11,1129.478,7471.505,1949.97,3356.913,1731.6018,118.016247,6530.41,78.556742,118.016247,6493.6098,39.466907,19.513340,1286.6509,0.839227,10.00372,30334.55093,1.92896498732192
-c12,1129.478,6358.145,1949.97,157.113483,38.840247,77.680494,157.113483,59.008124,6053.9348,118.016247,39.466907,29.645681,2353.8847,1.117251,0.021821,18523.436238,3.15893259626782
-c13,1129.478,6358.145,1949.97,157.113483,78.556742,3053.2545,3366.9575,59.008124,77.680494,77.680494,19.513340,29.645681,39.466907,69.37799,0.021821,16465.870076,3.55367109163099
-c14,1108.984,6358.145,1949.97,77.680494,38.840247,77.680494,6530.41,59.008124,6053.9348,118.016247,39.466907,29.645681,39.466907,1.117251,0.016391,22482.382543,2.60267284709785
-c15,1108.984,6358.145,1949.97,157.113483,78.556742,6007.756,6530.41,59.008124,77.680494,77.680494,39.466907,29.645681,39.466907,1.117251,0.016391,22515.017474,2.59890034065847
-c16,1129.478,6358.145,1949.97,157.113483,38.840247,77.680494,157.113483,59.008124,6053.9348,6493.6098,39.466907,29.645681,2353.8847,1.117251,0.021821,24899.029791,2.35006291807982
-c17,1108.984,6358.145,1949.97,157.113483,78.556742,3053.2545,3366.9575,59.008124,157.113483,77.680494,39.466907,29.645681,39.466907,1.117251,0.016391,16476.496463,3.55137917938216
-c18,1129.478,6358.145,1949.97,157.113483,78.556742,118.016247,157.113483,59.008124,157.113483,77.680494,1299.926,29.645681,39.466907,1.117251,0.021821,11612.372716,5.03896040629841
-c19,1129.478,6358.145,1949.97,157.113483,78.556742,77.680494,157.113483,59.008124,77.680494,77.680494,2479.9481,29.645681,39.466907,1.117251,0.021821,12672.626074,4.6173765437074
-c20,1129.478,6358.145,1949.97,157.113483,38.840247,77.680494,157.113483,3324.8076,77.680494,77.680494,39.466907,29.645681,1286.6509,1.117251,0.010789,14705.400823,3.97910177011772
-c21,1108.984,6358.145,1949.97,77.680494,59.008124,118.016247,3366.9575,59.008124,118.016247,157.113483,39.466907,19.513340,1286.6509,1.117251,10.00372,14729.651337,3.97255068073204
-c22,1108.984,7471.505,1949.97,77.680494,59.008124,118.016247,3366.9575,78.556742,118.016247,157.113483,39.466907,19.513340,1286.6509,1.117251,10.00372,15862.559955,3.68882996440136
-c23,1129.478,6358.145,1949.97,157.113483,78.556742,77.680494,157.113483,3324.8076,157.113483,77.680494,39.466907,2376.5679,39.466907,69.37799,0.021821,15992.560304,3.65884419785369
-c24,1129.478,6358.145,1949.97,3356.913,78.556742,77.680494,3366.9575,3324.8076,77.680494,77.680494,39.466907,1273.3007,39.466907,1.117251,0.021821,21151.24291,2.76647035899192
-c25,1129.478,6358.145,1949.97,157.113483,38.840247,3053.2545,118.016247,1683.0934,157.113483,77.680494,29.645681,2376.5679,39.466907,0.552395,0.021821,17168.959558,3.40814399990362
-c26,1129.478,6358.145,1949.97,157.113483,78.556742,3053.2545,6530.41,3324.8076,77.680494,77.680494,39.466907,29.645681,39.466907,1.117251,0.021821,22846.81488,2.56115729453857
-c27,1108.984,6358.145,1949.97,118.016247,78.556742,77.680494,6530.41,59.008124,157.113483,77.680494,39.466907,2376.5679,39.466907,1.117251,10.00372,18982.187269,3.08258925620765
-c28,1129.478,6358.145,3792.343,3356.913,1731.6018,3053.2545,6530.41,38.840247,3203.344,77.680494,39.466907,29.645681,1286.6509,0.552395,0.016391,30628.342315,1.91046208280416
-c29,1108.984,6358.145,1949.97,157.113483,78.556742,157.113483,6530.41,59.008124,157.113483,77.680494,39.466907,1273.3007,39.466907,1.117251,0.021821,17987.468395,3.25305847564182
-c30,1129.478,7471.505,1949.97,157.113483,38.840247,3053.2545,6530.41,78.556742,3203.344,3427.0759,39.466907,39.466907,2353.8847,0.839227,0.021821,29473.227434,1.9853369223136
-c31,1129.478,6358.145,3792.343,3356.913,1731.6018,3053.2545,6530.41,38.840247,3203.344,77.680494,39.466907,29.645681,1286.6509,0.552395,0.021821,30628.347745,1.91046174410457
-c32,1108.984,6358.145,1949.97,77.680494,3475.891,6007.756,118.016247,59.008124,6053.9348,118.016247,2479.9481,29.645681,19.513340,1.117251,0.021821,27857.648105,2.1004747569645
-c33,1129.478,6358.145,1949.97,157.113483,78.556742,77.680494,3366.9575,38.840247,77.680494,157.113483,2479.9481,29.645681,39.466907,1.117251,10.00372,15951.717102,3.6682124000834
-c34,1129.478,7471.505,1949.97,3356.913,38.840247,77.680494,118.016247,59.008124,77.680494,157.113483,1299.926,1273.3007,2353.8847,0.552395,0.016391,19363.885275,3.02182571884802
-c35,1129.478,7471.505,3792.343,157.113483,59.008124,77.680494,118.016247,3324.8076,118.016247,3427.0759,1299.926,29.645681,39.466907,1.117251,10.00372,21055.203654,2.77908908062139
-c36,1129.478,6358.145,3792.343,77.680494,38.840247,157.113483,157.113483,1683.0934,6053.9348,77.680494,29.645681,2376.5679,2353.8847,1.117251,0.021821,24286.659754,2.40931800398904
-c37,1129.478,6358.145,1949.97,157.113483,78.556742,77.680494,157.113483,3324.8076,77.680494,77.680494,39.466907,1273.3007,1286.6509,69.37799,0.021821,16057.044108,3.64415057248499
-c38,1129.478,6358.145,1949.97,157.113483,78.556742,6007.756,3366.9575,3324.8076,77.680494,3427.0759,1299.926,29.645681,39.466907,1.117251,0.021821,27247.718379,2.14749307866262
-c39,1108.984,7471.505,3792.343,6973.454,1731.6018,6007.756,118.016247,59.008124,157.113483,157.113483,1299.926,1273.3007,2353.8847,0.552395,0.016391,32504.575323,1.800186160918
-c40,1129.478,6358.145,1949.97,157.113483,38.840247,6007.756,3366.9575,3324.8076,77.680494,118.016247,2479.9481,1273.3007,19.513340,1.117251,0.021821,26302.665783,2.22465232624268
-c41,1129.478,7471.505,1949.97,118.016247,78.556742,118.016247,6530.41,1683.0934,118.016247,6493.6098,2479.9481,19.513340,19.513340,0.839227,0.010789,28210.496479,2.07420265287206
-c42,1129.478,6358.145,3792.343,3356.913,1731.6018,3053.2545,3366.9575,59.008124,3203.344,6493.6098,2479.9481,29.645681,1286.6509,1.117251,0.016391,36342.033047,1.61009942966909
-c43,1129.478,6358.145,1949.97,118.016247,78.556742,157.113483,118.016247,1683.0934,118.016247,3427.0759,1299.926,2376.5679,29.645681,0.839227,10.00372,18854.463794,3.10347126133991
-c44,1129.478,7471.505,1949.97,118.016247,78.556742,118.016247,6530.41,1683.0934,118.016247,6493.6098,2479.9481,1273.3007,2353.8847,0.839227,0.010789,31798.655199,1.84014972623198
-c45,1129.478,7471.505,1949.97,6973.454,78.556742,77.680494,6530.41,1683.0934,118.016247,6493.6098,2479.9481,1273.3007,2353.8847,69.37799,0.010789,38682.295962,1.51268908001772
-c46,1129.478,7471.505,1949.97,3356.913,78.556742,118.016247,6530.41,1683.0934,157.113483,6493.6098,2479.9481,1273.3007,2353.8847,69.37799,0.010789,35145.187951,1.66493025327076
-c47,1108.984,6358.145,1949.97,6973.454,78.556742,157.113483,6530.41,1683.0934,118.016247,6493.6098,2479.9481,1273.3007,2353.8847,0.839227,0.010789,37559.336188,1.55791589058764
-c2,10244.52054
-
-Compute Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,352.4661,1550.099,701.7255,1159.5933,558.563,925.6073,971.2723,490.07014,857.91333,883.36663,344.11179,344.22248,351.94343,12.419968,1.04789,9504.422158,0.999999989478582
-c1,442.9824,1610.85,426.5549,82.574848,41.518080,82.574848,82.574848,41.518080,527.54432,83.036160,21.220352,21.220352,21.220352,0.922624,0.018020,3486.330184,2.72619671223325
-c2,442.9824,90.532480,426.5549,82.574848,41.518080,82.574848,590.3019,290.68457,83.036160,83.036160,208.37216,21.220352,21.220352,12.419968,1.04789,2478.077068,3.83540201279156
-c3,352.4661,90.532480,701.7255,1159.5933,41.518080,82.574848,971.2723,41.518080,83.036160,543.5573,344.11179,21.220352,351.94343,0.922624,1.669613,4787.661957,1.98519069325364
-c4,442.9824,1610.85,426.5549,82.574848,41.518080,82.574848,82.574848,41.518080,83.036160,83.036160,21.220352,206.54856,21.220352,0.922624,0.018020,3227.150232,2.94514391342585
-c5,442.9824,1610.85,426.5549,82.574848,41.518080,82.574848,971.2723,41.518080,83.036160,83.036160,21.220352,21.220352,21.220352,0.922624,0.018020,3930.519476,2.41810833764437
-c6,442.9824,1610.85,426.5549,82.574848,41.518080,82.574848,82.574848,290.68457,83.036160,83.036160,21.220352,21.220352,21.220352,12.419968,0.018020,3302.485858,2.87795990017045
-c7,442.9824,90.532480,426.5549,652.9992,41.518080,544.1687,82.574848,41.518080,857.91333,83.036160,208.37216,206.54856,351.94343,12.419968,0.018020,4043.100316,2.35077568699199
-c8,352.4661,1610.85,426.5549,82.574848,41.518080,82.574848,82.574848,41.518080,83.036160,883.36663,21.220352,21.220352,351.94343,0.922624,0.018020,4082.359272,2.3281689072228
-c9,442.9824,1610.85,426.5549,82.574848,41.518080,82.574848,82.574848,41.518080,83.036160,83.036160,21.220352,21.220352,210.33129,7.640322,1.669613,3239.302253,2.93409540767249
-c10,352.4661,1550.099,426.5549,82.574848,41.518080,82.574848,82.574848,41.518080,83.036160,83.036160,21.220352,344.22248,21.220352,0.922624,0.018020,3213.556852,2.95760190342505
-c11,442.9824,1550.099,426.5549,652.9992,333.7788,82.574848,971.2723,41.518080,83.036160,883.36663,21.220352,21.220352,210.33129,0.922624,1.669613,5723.546549,1.66058263186526
-c12,442.9824,1610.85,426.5549,82.574848,41.518080,82.574848,82.574848,41.518080,857.91333,83.036160,21.220352,21.220352,351.94343,0.922624,0.018020,4147.422272,2.29164558260718
-c13,442.9824,1610.85,426.5549,82.574848,41.518080,544.1687,590.3019,41.518080,83.036160,83.036160,21.220352,21.220352,21.220352,12.419968,0.018020,4022.640272,2.36273225520146
-c14,352.4661,1610.85,426.5549,82.574848,41.518080,82.574848,971.2723,41.518080,857.91333,83.036160,21.220352,21.220352,21.220352,0.922624,0.018020,4614.880346,2.05951644234642
-c15,352.4661,1610.85,426.5549,82.574848,41.518080,925.6073,971.2723,41.518080,83.036160,83.036160,21.220352,21.220352,21.220352,0.922624,0.018020,4683.035628,2.02954295248546
-c16,442.9824,1610.85,426.5549,82.574848,41.518080,82.574848,82.574848,41.518080,857.91333,883.36663,21.220352,21.220352,351.94343,0.922624,0.018020,4947.752742,1.92095734397236
-c17,352.4661,1610.85,426.5549,82.574848,41.518080,544.1687,590.3019,41.518080,83.036160,83.036160,21.220352,21.220352,21.220352,0.922624,0.018020,3920.626628,2.42420990759516
-c18,442.9824,1610.85,426.5549,82.574848,41.518080,82.574848,82.574848,41.518080,83.036160,83.036160,208.37216,21.220352,21.220352,0.922624,0.018020,3228.973832,2.9434806096787
-c19,442.9824,1610.85,426.5549,82.574848,41.518080,82.574848,82.574848,41.518080,83.036160,83.036160,344.11179,21.220352,21.220352,0.922624,0.018020,3364.713462,2.82473440394449
-c20,442.9824,1610.85,426.5549,82.574848,41.518080,82.574848,82.574848,490.07014,83.036160,83.036160,21.220352,21.220352,210.33129,0.922624,0.018020,3679.485022,2.58308481835465
-c21,352.4661,1610.85,426.5549,82.574848,41.518080,82.574848,590.3019,41.518080,83.036160,83.036160,21.220352,21.220352,210.33129,0.922624,1.669613,3649.795307,2.60409724330611
-c22,352.4661,1550.099,426.5549,82.574848,41.518080,82.574848,590.3019,41.518080,83.036160,83.036160,21.220352,21.220352,210.33129,0.922624,1.669613,3589.044307,2.64817624977355
-c23,442.9824,1610.85,426.5549,82.574848,41.518080,82.574848,82.574848,490.07014,83.036160,83.036160,21.220352,344.22248,21.220352,12.419968,0.018020,3824.873556,2.48489832941033
-c24,442.9824,1610.85,426.5549,652.9992,41.518080,82.574848,590.3019,490.07014,83.036160,83.036160,21.220352,206.54856,21.220352,0.922624,0.018020,4753.853696,1.99930889039903
-c25,442.9824,1610.85,426.5549,82.574848,41.518080,544.1687,82.574848,290.68457,83.036160,83.036160,21.220352,344.22248,21.220352,0.922624,0.018020,4075.584494,2.33203898454034
-c26,442.9824,1610.85,426.5549,82.574848,41.518080,544.1687,971.2723,490.07014,83.036160,83.036160,21.220352,21.220352,21.220352,0.922624,0.018020,4840.665388,1.96345361635945
-c27,352.4661,1610.85,426.5549,82.574848,41.518080,82.574848,971.2723,41.518080,83.036160,83.036160,21.220352,344.22248,21.220352,0.922624,1.669613,4164.656897,2.28216205196406
-c28,442.9824,1610.85,701.7255,652.9992,333.7788,544.1687,971.2723,41.518080,527.54432,83.036160,21.220352,21.220352,210.33129,0.922624,0.018020,6163.588098,1.54202744451423
-c29,352.4661,1610.85,426.5549,82.574848,41.518080,82.574848,971.2723,41.518080,83.036160,83.036160,21.220352,206.54856,21.220352,0.922624,0.018020,4025.331384,2.3611526642659
-c30,442.9824,1550.099,426.5549,82.574848,41.518080,544.1687,971.2723,41.518080,527.54432,543.5573,21.220352,21.220352,351.94343,0.922624,0.018020,5567.114706,1.70724378591161
-c31,442.9824,1610.85,701.7255,652.9992,333.7788,544.1687,971.2723,41.518080,527.54432,83.036160,21.220352,21.220352,210.33129,0.922624,0.018020,6163.588098,1.54202744451423
-c32,352.4661,1610.85,426.5549,82.574848,558.563,925.6073,82.574848,41.518080,857.91333,83.036160,344.11179,21.220352,21.220352,0.922624,0.018020,5409.151704,1.75710028159528
-c33,442.9824,1610.85,426.5549,82.574848,41.518080,82.574848,590.3019,41.518080,83.036160,83.036160,344.11179,21.220352,21.220352,0.922624,1.669613,3874.092107,2.45332884458111
-c34,442.9824,1550.099,426.5549,652.9992,41.518080,82.574848,82.574848,41.518080,83.036160,83.036160,208.37216,206.54856,351.94343,0.922624,0.018020,4254.69847,2.23386498517567
-c35,442.9824,1550.099,701.7255,82.574848,41.518080,82.574848,82.574848,490.07014,83.036160,543.5573,208.37216,21.220352,21.220352,0.922624,1.669613,4354.118225,2.18285803199893
-c36,442.9824,1610.85,701.7255,82.574848,41.518080,82.574848,82.574848,290.68457,857.91333,83.036160,21.220352,344.22248,351.94343,0.922624,0.018020,4994.76149,1.9028780426735
-c37,442.9824,1610.85,426.5549,82.574848,41.518080,82.574848,82.574848,490.07014,83.036160,83.036160,21.220352,206.54856,210.33129,12.419968,0.018020,3876.310574,2.45192477005263
-c38,442.9824,1610.85,426.5549,82.574848,41.518080,925.6073,590.3019,490.07014,83.036160,543.5573,208.37216,21.220352,21.220352,0.922624,0.018020,5488.806536,1.73160083571944
-c39,352.4661,1550.099,701.7255,1159.5933,333.7788,925.6073,82.574848,41.518080,83.036160,83.036160,208.37216,206.54856,351.94343,0.922624,0.018020,6081.240042,1.56290854103225
-c40,442.9824,1610.85,426.5549,82.574848,41.518080,925.6073,590.3019,490.07014,83.036160,83.036160,344.11179,206.54856,21.220352,0.922624,0.018020,5349.353234,1.77674226482494
-c41,442.9824,1550.099,426.5549,82.574848,41.518080,82.574848,971.2723,290.68457,83.036160,883.36663,344.11179,21.220352,21.220352,0.922624,0.018020,5242.156874,1.81307469523327
-c42,442.9824,1610.85,701.7255,652.9992,333.7788,544.1687,590.3019,41.518080,527.54432,883.36663,344.11179,21.220352,210.33129,0.922624,0.018020,6905.839606,1.37628768732386
-c43,442.9824,1610.85,426.5549,82.574848,41.518080,82.574848,82.574848,290.68457,83.036160,543.5573,208.37216,344.22248,21.220352,0.922624,1.669613,4263.315183,2.22935005438114
-c44,442.9824,1550.099,426.5549,82.574848,41.518080,82.574848,971.2723,290.68457,83.036160,883.36663,344.11179,206.54856,351.94343,0.922624,0.018020,5758.20816,1.65058673268618
-c45,442.9824,1550.099,426.5549,1159.5933,41.518080,82.574848,971.2723,290.68457,83.036160,883.36663,344.11179,206.54856,351.94343,12.419968,0.018020,6846.723956,1.38817076316534
-c46,442.9824,1550.099,426.5549,652.9992,41.518080,82.574848,971.2723,290.68457,83.036160,883.36663,344.11179,206.54856,351.94343,12.419968,0.018020,6340.129856,1.49908948617141
-c47,352.4661,1610.85,426.5549,1159.5933,41.518080,82.574848,971.2723,290.68457,83.036160,883.36663,344.11179,206.54856,351.94343,0.922624,0.018020,6805.461312,1.39658747329622
-c2,2478.077068
-
-Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,1108.984,7471.505,3792.343,6973.454,3475.891,6007.756,6530.41,3324.8076,6053.9348,6493.6098,2479.9481,2376.5679,2353.8847,69.37799,1.812953,58514.286843,0.999999998291016
-c1,1145.5648,6358.145,1949.97,375.615141,179.180675,272.76268,352.195669,152.266559,3203.344,357.330128,89.882488,80.061262,89.882488,3.135222,0.543719,14609.879831,4.00511757244776
-c2,1145.5648,384.623163,1949.97,375.615141,179.180675,313.098433,3366.9575,1683.0934,357.330128,277.897139,1299.926,80.061262,89.882488,69.37799,1.812953,11574.391072,5.0554958764962
-c3,1108.984,384.623163,3792.343,6973.454,159.632057,313.098433,6530.41,152.266559,318.232892,3427.0759,2492.7759,80.061262,2353.8847,2.857198,10.00372,28099.702784,2.08238098048781
-c4,1145.5648,6358.145,1949.97,375.615141,159.632057,272.76268,352.195669,171.815177,277.897139,277.897139,69.928921,1273.3007,89.882488,3.135222,0.532687,12778.27482,4.57920080835137
-c5,1145.5648,6358.145,1949.97,375.615141,179.180675,272.76268,6530.41,152.266559,277.897139,277.897139,89.882488,80.061262,89.882488,3.135222,0.532687,17783.20328,3.29042442987569
-c6,1145.5648,6358.145,1949.97,296.182152,179.180675,272.76268,352.195669,1683.0934,318.232892,277.897139,89.882488,80.061262,89.882488,69.37799,0.543719,13162.972354,4.44537030275548
-c7,1145.5648,429.440667,1949.97,3356.913,179.180675,3053.2545,352.195669,152.266559,6053.9348,357.330128,1299.926,1273.3007,2365.9264,69.37799,0.538289,22039.120177,2.65501917079991
-c8,1108.984,6756.043,1949.97,375.615141,179.180675,313.098433,352.195669,152.266559,277.897139,6493.6098,89.882488,89.882488,2353.8847,3.135222,0.543719,20496.189033,2.85488616753584
-c9,1145.5648,6358.145,1949.97,375.615141,179.180675,272.76268,352.195669,171.815177,277.897139,277.897139,89.882488,80.061262,1286.6509,57.16078,10.00372,12884.80257,4.54134132602902
-c10,1108.984,7471.505,2073.98,375.615141,179.180675,272.76268,352.195669,152.266559,357.330128,277.897139,89.882488,2376.5679,89.882488,3.135222,0.532687,15181.717776,3.85425992769252
-c11,1145.5648,7908.45,2073.98,3356.913,1731.6018,313.098433,6530.41,171.815177,318.232892,6493.6098,89.882488,69.928921,1286.6509,2.857198,10.00372,31502.999129,1.85741955607626
-c12,1145.5648,6358.145,1949.97,375.615141,139.46418,272.76268,352.195669,152.266559,6053.9348,318.232892,89.882488,80.061262,2353.8847,3.135222,0.543719,19645.659112,2.97848426522935
-c13,1145.5648,6358.145,1949.97,375.615141,179.180675,3053.2545,3366.9575,152.266559,277.897139,277.897139,69.928921,80.061262,89.882488,69.37799,0.543719,17446.542833,3.35391871430991
-c14,1108.984,6756.043,1949.97,296.182152,139.46418,272.76268,6530.41,152.266559,6053.9348,318.232892,89.882488,80.061262,89.882488,3.135222,0.538289,23841.750012,2.4542781703575
-c15,1108.984,6756.043,1949.97,375.615141,179.180675,6007.756,6530.41,152.266559,277.897139,277.897139,89.882488,80.061262,89.882488,3.135222,0.538289,23879.519402,2.45039632552486
-c16,1145.5648,6358.145,1949.97,375.615141,139.46418,272.76268,352.195669,152.266559,6053.9348,6493.6098,89.882488,80.061262,2353.8847,3.135222,0.543719,25821.03602,2.26614790247232
-c17,1108.984,6756.043,1949.97,375.615141,179.180675,3053.2545,3366.9575,152.266559,357.330128,277.897139,89.882488,80.061262,89.882488,3.135222,0.538289,17840.998391,3.27976524814561
-c18,1145.5648,6358.145,1949.97,375.615141,179.180675,313.098433,352.195669,152.266559,357.330128,277.897139,1299.926,80.061262,89.882488,3.135222,0.543719,12934.812235,4.5237832082548
-c19,1145.5648,6358.145,1949.97,375.615141,179.180675,272.76268,352.195669,152.266559,277.897139,277.897139,2479.9481,80.061262,89.882488,3.135222,0.543719,13995.065593,4.18106553599584
-c20,1145.5648,6358.145,1949.97,375.615141,139.46418,272.76268,352.195669,3324.8076,277.897139,277.897139,89.882488,80.061262,1286.6509,3.135222,0.532687,15934.581907,3.67215699899093
-c21,1108.984,6756.043,1949.97,296.182152,159.632057,313.098433,3366.9575,152.266559,318.232892,357.330128,89.882488,69.928921,1286.6509,3.135222,10.00372,16238.297972,3.60347411924266
-c22,1108.984,7471.505,2073.98,296.182152,159.632057,313.098433,3366.9575,171.815177,318.232892,357.330128,89.882488,69.928921,1286.6509,3.135222,10.00372,17097.31859,3.42242476168057
-c23,1145.5648,6358.145,1949.97,375.615141,179.180675,272.76268,352.195669,3324.8076,357.330128,277.897139,89.882488,2376.5679,89.882488,69.37799,0.543719,17219.723417,3.39809676881469
-c24,1145.5648,6358.145,1949.97,3356.913,179.180675,272.76268,3366.9575,3383.8134,277.897139,277.897139,89.882488,1273.3007,89.882488,3.135222,0.543719,22025.84595,2.6566192603984
-c25,1145.5648,6358.145,1949.97,375.615141,139.46418,3053.2545,313.098433,1683.0934,357.330128,277.897139,80.061262,2376.5679,89.882488,2.570366,0.543719,18203.058456,3.2145304956849
-c26,1145.5648,6358.145,1949.97,375.615141,179.180675,3053.2545,6654.867,3324.8076,277.897139,277.897139,89.882488,80.061262,89.882488,3.135222,0.543719,23860.704173,2.45232857226318
-c27,1108.984,6756.043,1949.97,336.517905,179.180675,272.76268,6530.41,152.266559,357.330128,277.897139,89.882488,2376.5679,89.882488,3.135222,10.00372,20490.833904,2.85563227107191
-c28,1145.5648,6358.145,3996.263,3610.731,1731.6018,3053.2545,6654.867,132.098682,3203.344,277.897139,89.882488,80.061262,1286.6509,2.570366,0.538289,31623.470226,1.85034362894989
-c29,1108.984,6756.043,1949.97,375.615141,179.180675,352.195669,6530.41,152.266559,357.330128,277.897139,89.882488,1273.3007,89.882488,3.135222,0.543719,19496.636928,3.0012502545421
-c30,1145.5648,7908.45,2073.98,375.615141,139.46418,3053.2545,6654.867,171.815177,3203.344,3427.0759,89.882488,89.882488,2353.8847,2.857198,0.543719,30690.481291,1.90659397281919
-c31,1145.5648,6358.145,3996.263,3610.731,1731.6018,3053.2545,6654.867,132.098682,3203.344,277.897139,89.882488,80.061262,1286.6509,2.570366,0.543719,31623.475656,1.85034331123131
-c32,1108.984,6756.043,1949.97,296.182152,3475.891,6007.756,313.098433,152.266559,6053.9348,318.232892,2479.9481,80.061262,69.928921,3.135222,0.543719,29065.97606,2.01315402314016
-c33,1145.5648,6358.145,1949.97,375.615141,179.180675,272.76268,3366.9575,132.098682,277.897139,357.330128,2479.9481,80.061262,89.882488,3.135222,10.00372,17078.552537,3.42618534993599
-c34,1145.5648,7908.45,2073.98,3356.913,139.46418,272.76268,313.098433,152.266559,277.897139,357.330128,1299.926,1273.3007,2365.9264,2.570366,0.538289,20939.988674,2.79438004836248
-c35,1145.5648,7908.45,3792.343,375.615141,159.632057,272.76268,313.098433,3324.8076,318.232892,3427.0759,1299.926,80.061262,89.882488,3.135222,10.00372,22520.591195,2.59825712728916
-c36,1145.5648,6358.145,3996.263,296.182152,139.46418,352.195669,352.195669,1683.0934,6117.8413,277.897139,80.061262,2376.5679,2353.8847,3.135222,0.543719,25533.035112,2.29170900980466
-c37,1145.5648,6358.145,1949.97,375.615141,179.180675,272.76268,352.195669,3324.8076,277.897139,277.897139,89.882488,1273.3007,1286.6509,70.74902,0.543719,17235.16267,3.39505275487456
-c38,1145.5648,6358.145,1949.97,375.615141,179.180675,6007.756,3519.4585,3383.8134,277.897139,3427.0759,1299.926,80.061262,89.882488,3.135222,0.543719,28098.025246,2.08250530499753
-c39,1108.984,7471.505,3792.343,6973.454,1802.5061,6130.47,313.098433,152.266559,357.330128,357.330128,1299.926,1273.3007,2365.9264,2.570366,0.538289,33401.549103,1.75184349945494
-c40,1145.5648,6358.145,1949.97,375.615141,139.46418,6007.756,3519.4585,3383.8134,277.897139,318.232892,2479.9481,1307.6007,69.928921,3.135222,0.543719,27337.073714,2.14047367472935
-c41,1145.5648,7908.45,2073.98,336.517905,179.180675,313.098433,6530.41,1732.6793,318.232892,6493.6098,2479.9481,69.928921,69.928921,2.857198,0.532687,29654.919632,1.97317299698702
-c42,1145.5648,6358.145,3996.263,3610.731,1731.6018,3053.2545,3366.9575,152.266559,3203.344,6559.316,2479.9481,80.061262,1286.6509,3.135222,0.538289,37027.777932,1.58028080411498
-c43,1145.5648,6358.145,1949.97,336.517905,179.180675,352.195669,313.098433,1683.0934,318.232892,3427.0759,1299.926,2388.8133,80.061262,2.857198,10.00372,19844.736154,2.94860491437399
-c44,1145.5648,7908.45,2073.98,336.517905,179.180675,313.098433,6530.41,1732.6793,318.232892,6493.6098,2479.9481,1307.6007,2365.9264,2.857198,0.532687,33188.58889,1.76308450053815
-c45,1145.5648,7908.45,2073.98,7209.476,179.180675,272.76268,6530.41,1732.6793,318.232892,6493.6098,2479.9481,1307.6007,2365.9264,69.37799,0.532687,40087.732024,1.45965570369515
-c46,1145.5648,7908.45,2073.98,3356.913,179.180675,313.098433,6530.41,1732.6793,357.330128,6493.6098,2479.9481,1307.6007,2365.9264,69.37799,0.532687,36314.602013,1.61131565371201
-c47,1108.984,6756.043,1949.97,7209.476,179.180675,352.195669,6530.41,1732.6793,318.232892,6493.6098,2479.9481,1307.6007,2365.9264,2.857198,0.532687,38787.646421,1.5085804912479
-c2,11574.391072
-
-Leakage Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,157.595858,76.708720,151.959867,151.959867,74.930729,0,153.127903,38.454652,38.454652,38.454652,1.156348,0.102999,882.906247,0
-c2,0,188.762345,0,157.595858,76.708720,151.959867,0,0,153.127903,153.127903,0,38.454652,38.454652,0,0,958.1919,0
-c3,0,188.762345,0,0,76.708720,151.959867,0,74.930729,153.127903,0,0,38.454652,0,1.156348,0,685.100564,0
-c4,0,0,0,157.595858,76.708720,151.959867,151.959867,74.930729,153.127903,153.127903,38.454652,0,38.454652,1.156348,0.102999,997.579498,0
-c5,0,0,0,157.595858,76.708720,151.959867,0,74.930729,153.127903,153.127903,38.454652,38.454652,38.454652,1.156348,0.102999,884.074283,0
-c6,0,0,0,157.595858,76.708720,151.959867,151.959867,0,153.127903,153.127903,38.454652,38.454652,38.454652,0,0.102999,959.947073,0
-c7,0,188.762345,0,0,76.708720,0,151.959867,74.930729,0,153.127903,0,0,0,0,0.102999,645.592563,0
-c8,0,0,0,157.595858,76.708720,151.959867,151.959867,74.930729,153.127903,0,38.454652,38.454652,0,1.156348,0.102999,844.451595,0
-c9,0,0,0,157.595858,76.708720,151.959867,151.959867,74.930729,153.127903,153.127903,38.454652,38.454652,0,0,0,996.320151,0
-c10,0,0,0,157.595858,76.708720,151.959867,151.959867,74.930729,153.127903,153.127903,38.454652,0,38.454652,1.156348,0.102999,997.579498,0
-c11,0,0,0,0,0,151.959867,0,74.930729,153.127903,0,38.454652,38.454652,0,1.156348,0,458.084151,0
-c12,0,0,0,157.595858,76.708720,151.959867,151.959867,74.930729,0,153.127903,38.454652,38.454652,0,1.156348,0.102999,844.451595,0
-c13,0,0,0,157.595858,76.708720,0,0,74.930729,153.127903,153.127903,38.454652,38.454652,38.454652,0,0.102999,730.958068,0
-c14,0,0,0,157.595858,76.708720,151.959867,0,74.930729,0,153.127903,38.454652,38.454652,38.454652,1.156348,0.102999,730.94638,0
-c15,0,0,0,157.595858,76.708720,0,0,74.930729,153.127903,153.127903,38.454652,38.454652,38.454652,1.156348,0.102999,732.114416,0
-c16,0,0,0,157.595858,76.708720,151.959867,151.959867,74.930729,0,0,38.454652,38.454652,0,1.156348,0.102999,691.323692,0
-c17,0,0,0,157.595858,76.708720,0,0,74.930729,153.127903,153.127903,38.454652,38.454652,38.454652,1.156348,0.102999,732.114416,0
-c18,0,0,0,157.595858,76.708720,151.959867,151.959867,74.930729,153.127903,153.127903,0,38.454652,38.454652,1.156348,0.102999,997.579498,0
-c19,0,0,0,157.595858,76.708720,151.959867,151.959867,74.930729,153.127903,153.127903,0,38.454652,38.454652,1.156348,0.102999,997.579498,0
-c20,0,0,0,157.595858,76.708720,151.959867,151.959867,0,153.127903,153.127903,38.454652,38.454652,0,1.156348,0.102999,922.648769,0
-c21,0,0,0,157.595858,76.708720,151.959867,0,74.930729,153.127903,153.127903,38.454652,38.454652,0,1.156348,0,845.516632,0
-c22,0,0,0,157.595858,76.708720,151.959867,0,74.930729,153.127903,153.127903,38.454652,38.454652,0,1.156348,0,845.516632,0
-c23,0,0,0,157.595858,76.708720,151.959867,151.959867,0,153.127903,153.127903,38.454652,0,38.454652,0,0.102999,921.492421,0
-c24,0,0,0,0,76.708720,151.959867,0,0,153.127903,153.127903,38.454652,0,38.454652,1.156348,0.102999,613.093044,0
-c25,0,0,0,157.595858,76.708720,0,151.959867,0,153.127903,153.127903,38.454652,0,38.454652,1.156348,0.102999,770.688902,0
-c26,0,0,0,157.595858,76.708720,0,0,0,153.127903,153.127903,38.454652,38.454652,38.454652,1.156348,0.102999,657.183687,0
-c27,0,0,0,157.595858,76.708720,151.959867,0,74.930729,153.127903,153.127903,38.454652,0,38.454652,1.156348,0,845.516632,0
-c28,0,0,0,0,0,0,0,74.930729,0,153.127903,38.454652,38.454652,0,1.156348,0.102999,306.227283,0
-c29,0,0,0,157.595858,76.708720,151.959867,0,74.930729,153.127903,153.127903,38.454652,0,38.454652,1.156348,0.102999,845.619631,0
-c30,0,0,0,157.595858,76.708720,0,0,74.930729,0,0,38.454652,38.454652,0,1.156348,0.102999,387.403958,0
-c31,0,0,0,0,0,0,0,74.930729,0,153.127903,38.454652,38.454652,0,1.156348,0.102999,306.227283,0
-c32,0,0,0,157.595858,0,0,151.959867,74.930729,0,153.127903,0,38.454652,38.454652,1.156348,0.102999,615.783008,0
-c33,0,0,0,157.595858,76.708720,151.959867,0,74.930729,153.127903,153.127903,0,38.454652,38.454652,1.156348,0,845.516632,0
-c34,0,0,0,0,76.708720,151.959867,151.959867,74.930729,153.127903,153.127903,0,0,0,1.156348,0.102999,763.074336,0
-c35,0,0,0,157.595858,76.708720,151.959867,151.959867,0,153.127903,0,0,38.454652,38.454652,1.156348,0,769.417867,0
-c36,0,0,0,157.595858,76.708720,151.959867,151.959867,0,0,153.127903,38.454652,0,0,1.156348,0.102999,731.066214,0
-c37,0,0,0,157.595858,76.708720,151.959867,151.959867,0,153.127903,153.127903,38.454652,0,0,0,0.102999,883.037769,0
-c38,0,0,0,157.595858,76.708720,0,0,0,153.127903,0,0,38.454652,38.454652,1.156348,0.102999,465.601132,0
-c39,0,0,0,0,0,0,151.959867,74.930729,153.127903,153.127903,0,0,0,1.156348,0.102999,534.405749,0
-c40,0,0,0,157.595858,76.708720,0,0,0,153.127903,153.127903,0,0,38.454652,1.156348,0.102999,580.274383,0
-c41,0,0,0,157.595858,76.708720,151.959867,0,0,153.127903,0,0,38.454652,38.454652,1.156348,0.102999,617.560999,0
-c42,0,0,0,0,0,0,0,74.930729,0,0,0,38.454652,0,1.156348,0.102999,114.644728,0
-c43,0,0,0,157.595858,76.708720,151.959867,151.959867,0,153.127903,0,0,0,38.454652,1.156348,0,730.963215,0
-c44,0,0,0,157.595858,76.708720,151.959867,0,0,153.127903,0,0,0,0,1.156348,0.102999,540.651695,0
-c45,0,0,0,0,76.708720,151.959867,0,0,153.127903,0,0,0,0,0,0.102999,381.899489,0
-c46,0,0,0,0,76.708720,151.959867,0,0,153.127903,0,0,0,0,0,0.102999,381.899489,0
-c47,0,0,0,0,76.708720,151.959867,0,0,153.127903,0,0,0,0,1.156348,0.102999,383.055837,0
-c0,0
-
-Memory Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,60.905800,23.915213,43.122319,43.122319,18.327706,0,47.088742,11.960929,11.960929,11.960929,0.861623,0.418899,273.645408,0
-c2,0,109.549158,0,60.905800,23.915213,43.122319,0,0,47.088742,47.088742,0,11.960929,11.960929,0,0,355.591832,0
-c3,0,109.549158,0,0,23.915213,43.122319,0,18.327706,47.088742,0,0,11.960929,0,0.861623,0,254.82569,0
-c4,0,0,0,60.905800,23.915213,43.122319,43.122319,18.327706,47.088742,47.088742,11.960929,0,11.960929,0.861623,0.418899,308.773221,0
-c5,0,0,0,60.905800,23.915213,43.122319,0,18.327706,47.088742,47.088742,11.960929,11.960929,11.960929,0.861623,0.418899,277.611831,0
-c6,0,0,0,60.905800,23.915213,43.122319,43.122319,0,47.088742,47.088742,11.960929,11.960929,11.960929,0,0.418899,301.544821,0
-c7,0,109.549158,0,0,23.915213,0,43.122319,18.327706,0,47.088742,0,0,0,0,0.418899,242.422037,0
-c8,0,0,0,60.905800,23.915213,43.122319,43.122319,18.327706,47.088742,0,11.960929,11.960929,0,0.861623,0.418899,261.684479,0
-c9,0,0,0,60.905800,23.915213,43.122319,43.122319,18.327706,47.088742,47.088742,11.960929,11.960929,0,0,0,307.492699,0
-c10,0,0,0,60.905800,23.915213,43.122319,43.122319,18.327706,47.088742,47.088742,11.960929,0,11.960929,0.861623,0.418899,308.773221,0
-c11,0,0,0,0,0,43.122319,0,18.327706,47.088742,0,11.960929,11.960929,0,0.861623,0,133.322248,0
-c12,0,0,0,60.905800,23.915213,43.122319,43.122319,18.327706,0,47.088742,11.960929,11.960929,0,0.861623,0.418899,261.684479,0
-c13,0,0,0,60.905800,23.915213,0,0,18.327706,47.088742,47.088742,11.960929,11.960929,11.960929,0,0.418899,233.627889,0
-c14,0,0,0,60.905800,23.915213,43.122319,0,18.327706,0,47.088742,11.960929,11.960929,11.960929,0.861623,0.418899,230.523089,0
-c15,0,0,0,60.905800,23.915213,0,0,18.327706,47.088742,47.088742,11.960929,11.960929,11.960929,0.861623,0.418899,234.489512,0
-c16,0,0,0,60.905800,23.915213,43.122319,43.122319,18.327706,0,0,11.960929,11.960929,0,0.861623,0.418899,214.595737,0
-c17,0,0,0,60.905800,23.915213,0,0,18.327706,47.088742,47.088742,11.960929,11.960929,11.960929,0.861623,0.418899,234.489512,0
-c18,0,0,0,60.905800,23.915213,43.122319,43.122319,18.327706,47.088742,47.088742,0,11.960929,11.960929,0.861623,0.418899,308.773221,0
-c19,0,0,0,60.905800,23.915213,43.122319,43.122319,18.327706,47.088742,47.088742,0,11.960929,11.960929,0.861623,0.418899,308.773221,0
-c20,0,0,0,60.905800,23.915213,43.122319,43.122319,0,47.088742,47.088742,11.960929,11.960929,0,0.861623,0.418899,290.445515,0
-c21,0,0,0,60.905800,23.915213,43.122319,0,18.327706,47.088742,47.088742,11.960929,11.960929,0,0.861623,0,265.232003,0
-c22,0,0,0,60.905800,23.915213,43.122319,0,18.327706,47.088742,47.088742,11.960929,11.960929,0,0.861623,0,265.232003,0
-c23,0,0,0,60.905800,23.915213,43.122319,43.122319,0,47.088742,47.088742,11.960929,0,11.960929,0,0.418899,289.583892,0
-c24,0,0,0,0,23.915213,43.122319,0,0,47.088742,47.088742,11.960929,0,11.960929,0.861623,0.418899,186.417396,0
-c25,0,0,0,60.905800,23.915213,0,43.122319,0,47.088742,47.088742,11.960929,0,11.960929,0.861623,0.418899,247.323196,0
-c26,0,0,0,60.905800,23.915213,0,0,0,47.088742,47.088742,11.960929,11.960929,11.960929,0.861623,0.418899,216.161806,0
-c27,0,0,0,60.905800,23.915213,43.122319,0,18.327706,47.088742,47.088742,11.960929,0,11.960929,0.861623,0,265.232003,0
-c28,0,0,0,0,0,0,0,18.327706,0,47.088742,11.960929,11.960929,0,0.861623,0.418899,90.618828,0
-c29,0,0,0,60.905800,23.915213,43.122319,0,18.327706,47.088742,47.088742,11.960929,0,11.960929,0.861623,0.418899,265.650902,0
-c30,0,0,0,60.905800,23.915213,0,0,18.327706,0,0,11.960929,11.960929,0,0.861623,0.418899,128.351099,0
-c31,0,0,0,0,0,0,0,18.327706,0,47.088742,11.960929,11.960929,0,0.861623,0.418899,90.618828,0
-c32,0,0,0,60.905800,0,0,43.122319,18.327706,0,47.088742,0,11.960929,11.960929,0.861623,0.418899,194.646947,0
-c33,0,0,0,60.905800,23.915213,43.122319,0,18.327706,47.088742,47.088742,0,11.960929,11.960929,0.861623,0,265.232003,0
-c34,0,0,0,0,23.915213,43.122319,43.122319,18.327706,47.088742,47.088742,0,0,0,0.861623,0.418899,223.945563,0
-c35,0,0,0,60.905800,23.915213,43.122319,43.122319,0,47.088742,0,0,11.960929,11.960929,0.861623,0,242.937874,0
-c36,0,0,0,60.905800,23.915213,43.122319,43.122319,0,0,47.088742,11.960929,0,0,0.861623,0.418899,231.395844,0
-c37,0,0,0,60.905800,23.915213,43.122319,43.122319,0,47.088742,47.088742,11.960929,0,0,0,0.418899,277.622963,0
-c38,0,0,0,60.905800,23.915213,0,0,0,47.088742,0,0,11.960929,11.960929,0.861623,0.418899,157.112135,0
-c39,0,0,0,0,0,0,43.122319,18.327706,47.088742,47.088742,0,0,0,0.861623,0.418899,156.908031,0
-c40,0,0,0,60.905800,23.915213,0,0,0,47.088742,47.088742,0,0,11.960929,0.861623,0.418899,192.239948,0
-c41,0,0,0,60.905800,23.915213,43.122319,0,0,47.088742,0,0,11.960929,11.960929,0.861623,0.418899,200.234454,0
-c42,0,0,0,0,0,0,0,18.327706,0,0,0,11.960929,0,0.861623,0.418899,31.569157,0
-c43,0,0,0,60.905800,23.915213,43.122319,43.122319,0,47.088742,0,0,0,11.960929,0.861623,0,230.976945,0
-c44,0,0,0,60.905800,23.915213,43.122319,0,0,47.088742,0,0,0,0,0.861623,0.418899,176.312596,0
-c45,0,0,0,0,23.915213,43.122319,0,0,47.088742,0,0,0,0,0,0.418899,114.545173,0
-c46,0,0,0,0,23.915213,43.122319,0,0,47.088742,0,0,0,0,0,0.418899,114.545173,0
-c47,0,0,0,0,23.915213,43.122319,0,0,47.088742,0,0,0,0,0.861623,0.418899,115.406796,0
-c0,0
-
-Memory Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,21.882908,9.597736,18.163317,18.163317,8.429972,0,19.033555,4.848960,4.848960,4.848960,0.281905,0.089271,110.188861,0
-c2,0,32.936441,0,21.882908,9.597736,18.163317,0,0,19.033555,19.033555,0,4.848960,4.848960,0,0,130.345432,0
-c3,0,32.936441,0,0,9.597736,18.163317,0,8.429972,19.033555,0,0,4.848960,0,0.281905,0,93.291886,0
-c4,0,0,0,21.882908,9.597736,18.163317,18.163317,8.429972,19.033555,19.033555,4.848960,0,4.848960,0.281905,0.089271,124.373456,0
-c5,0,0,0,21.882908,9.597736,18.163317,0,8.429972,19.033555,19.033555,4.848960,4.848960,4.848960,0.281905,0.089271,111.059099,0
-c6,0,0,0,21.882908,9.597736,18.163317,18.163317,0,19.033555,19.033555,4.848960,4.848960,4.848960,0,0.089271,120.510539,0
-c7,0,32.936441,0,0,9.597736,0,18.163317,8.429972,0,19.033555,0,0,0,0,0.089271,88.250292,0
-c8,0,0,0,21.882908,9.597736,18.163317,18.163317,8.429972,19.033555,0,4.848960,4.848960,0,0.281905,0.089271,105.339901,0
-c9,0,0,0,21.882908,9.597736,18.163317,18.163317,8.429972,19.033555,19.033555,4.848960,4.848960,0,0,0,124.00228,0
-c10,0,0,0,21.882908,9.597736,18.163317,18.163317,8.429972,19.033555,19.033555,4.848960,0,4.848960,0.281905,0.089271,124.373456,0
-c11,0,0,0,0,0,18.163317,0,8.429972,19.033555,0,4.848960,4.848960,0,0.281905,0,55.606669,0
-c12,0,0,0,21.882908,9.597736,18.163317,18.163317,8.429972,0,19.033555,4.848960,4.848960,0,0.281905,0.089271,105.339901,0
-c13,0,0,0,21.882908,9.597736,0,0,8.429972,19.033555,19.033555,4.848960,4.848960,4.848960,0,0.089271,92.613877,0
-c14,0,0,0,21.882908,9.597736,18.163317,0,8.429972,0,19.033555,4.848960,4.848960,4.848960,0.281905,0.089271,92.025544,0
-c15,0,0,0,21.882908,9.597736,0,0,8.429972,19.033555,19.033555,4.848960,4.848960,4.848960,0.281905,0.089271,92.895782,0
-c16,0,0,0,21.882908,9.597736,18.163317,18.163317,8.429972,0,0,4.848960,4.848960,0,0.281905,0.089271,86.306346,0
-c17,0,0,0,21.882908,9.597736,0,0,8.429972,19.033555,19.033555,4.848960,4.848960,4.848960,0.281905,0.089271,92.895782,0
-c18,0,0,0,21.882908,9.597736,18.163317,18.163317,8.429972,19.033555,19.033555,0,4.848960,4.848960,0.281905,0.089271,124.373456,0
-c19,0,0,0,21.882908,9.597736,18.163317,18.163317,8.429972,19.033555,19.033555,0,4.848960,4.848960,0.281905,0.089271,124.373456,0
-c20,0,0,0,21.882908,9.597736,18.163317,18.163317,0,19.033555,19.033555,4.848960,4.848960,0,0.281905,0.089271,115.943484,0
-c21,0,0,0,21.882908,9.597736,18.163317,0,8.429972,19.033555,19.033555,4.848960,4.848960,0,0.281905,0,106.120868,0
-c22,0,0,0,21.882908,9.597736,18.163317,0,8.429972,19.033555,19.033555,4.848960,4.848960,0,0.281905,0,106.120868,0
-c23,0,0,0,21.882908,9.597736,18.163317,18.163317,0,19.033555,19.033555,4.848960,0,4.848960,0,0.089271,115.661579,0
-c24,0,0,0,0,9.597736,18.163317,0,0,19.033555,19.033555,4.848960,0,4.848960,0.281905,0.089271,75.897259,0
-c25,0,0,0,21.882908,9.597736,0,18.163317,0,19.033555,19.033555,4.848960,0,4.848960,0.281905,0.089271,97.780167,0
-c26,0,0,0,21.882908,9.597736,0,0,0,19.033555,19.033555,4.848960,4.848960,4.848960,0.281905,0.089271,84.46581,0
-c27,0,0,0,21.882908,9.597736,18.163317,0,8.429972,19.033555,19.033555,4.848960,0,4.848960,0.281905,0,106.120868,0
-c28,0,0,0,0,0,0,0,8.429972,0,19.033555,4.848960,4.848960,0,0.281905,0.089271,37.532623,0
-c29,0,0,0,21.882908,9.597736,18.163317,0,8.429972,19.033555,19.033555,4.848960,0,4.848960,0.281905,0.089271,106.210139,0
-c30,0,0,0,21.882908,9.597736,0,0,8.429972,0,0,4.848960,4.848960,0,0.281905,0.089271,49.979712,0
-c31,0,0,0,0,0,0,0,8.429972,0,19.033555,4.848960,4.848960,0,0.281905,0.089271,37.532623,0
-c32,0,0,0,21.882908,0,0,18.163317,8.429972,0,19.033555,0,4.848960,4.848960,0.281905,0.089271,77.578848,0
-c33,0,0,0,21.882908,9.597736,18.163317,0,8.429972,19.033555,19.033555,0,4.848960,4.848960,0.281905,0,106.120868,0
-c34,0,0,0,0,9.597736,18.163317,18.163317,8.429972,19.033555,19.033555,0,0,0,0.281905,0.089271,92.792628,0
-c35,0,0,0,21.882908,9.597736,18.163317,18.163317,0,19.033555,0,0,4.848960,4.848960,0.281905,0,96.820658,0
-c36,0,0,0,21.882908,9.597736,18.163317,18.163317,0,0,19.033555,4.848960,0,0,0.281905,0.089271,92.060969,0
-c37,0,0,0,21.882908,9.597736,18.163317,18.163317,0,19.033555,19.033555,4.848960,0,0,0,0.089271,110.812619,0
-c38,0,0,0,21.882908,9.597736,0,0,0,19.033555,0,0,4.848960,4.848960,0.281905,0.089271,60.583295,0
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-Quantization Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
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diff --git a/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_promise_results2.csv b/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_promise_results2.csv
deleted file mode 100644
index 3371feb04844bd486683dbd9d19495a0aa255099..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_promise_results2.csv
+++ /dev/null
@@ -1,616 +0,0 @@
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-c15,1108.984,174.570537,65.564582,118.016247,38.840247,77.680494,118.016247,78.556742,118.016247,77.680494,19.513340,2376.5679,1286.6509,0.552395,0.016391,5659.226763,10.3396255812903
-c16,1129.478,131.129164,65.564582,118.016247,38.840247,3053.2545,157.113483,1683.0934,3203.344,157.113483,19.513340,2376.5679,19.513340,69.37799,0.016391,12221.936067,4.7876446123972
-c17,1129.478,131.129164,43.155830,118.016247,38.840247,6007.756,3366.9575,59.008124,157.113483,157.113483,29.645681,19.513340,2353.8847,0.552395,0.010789,13612.174983,4.2986728047656
-c18,1129.478,174.570537,43.155830,118.016247,38.840247,77.680494,118.016247,3324.8076,157.113483,77.680494,29.645681,2376.5679,19.513340,0.839227,0.016391,7685.941718,7.61315766220909
-c19,1108.984,174.570537,43.155830,157.113483,38.840247,77.680494,118.016247,59.008124,157.113483,118.016247,2479.9481,19.513340,2353.8847,0.839227,0.010789,6906.694848,8.47211108693084
-c20,1108.984,131.129164,43.155830,157.113483,3475.891,6007.756,77.680494,78.556742,3203.344,77.680494,39.466907,19.513340,19.513340,0.839227,0.021821,14440.645842,4.05205467110122
-c21,1129.478,174.570537,43.155830,118.016247,38.840247,77.680494,118.016247,59.008124,157.113483,77.680494,29.645681,2376.5679,2353.8847,0.839227,0.010789,6754.508,8.6629975087305
-c22,1108.984,131.129164,1949.97,3356.913,38.840247,157.113483,77.680494,78.556742,157.113483,77.680494,2479.9481,29.645681,2353.8847,0.552395,0.021821,11998.033804,4.87698962273244
-c23,1108.984,174.570537,65.564582,118.016247,38.840247,77.680494,118.016247,78.556742,118.016247,3427.0759,19.513340,2376.5679,1286.6509,0.552395,0.016391,9008.622169,6.49536467350355
-c24,1108.984,86.311660,43.155830,3356.913,38.840247,3053.2545,157.113483,38.840247,6053.9348,77.680494,2479.9481,39.466907,1286.6509,57.16078,0.010789,17878.265737,3.27292855898259
-c25,1129.478,174.570537,43.155830,118.016247,38.840247,118.016247,6530.41,3324.8076,157.113483,157.113483,29.645681,2376.5679,29.645681,0.839227,0.010789,14228.230952,4.11254825910175
-c26,1129.478,131.129164,43.155830,118.016247,38.840247,3053.2545,6530.41,78.556742,157.113483,157.113483,2479.9481,19.513340,19.513340,0.839227,0.010789,13956.892492,4.1925010497351
-c27,1129.478,131.129164,65.564582,118.016247,78.556742,3053.2545,3366.9575,3324.8076,157.113483,157.113483,1299.926,39.466907,29.645681,0.552395,0.010789,12951.593073,4.51792193141025
-c28,1129.478,131.129164,65.564582,157.113483,78.556742,3053.2545,3366.9575,3324.8076,118.016247,157.113483,1299.926,39.466907,29.645681,0.552395,0.010789,12951.593073,4.51792193141025
-c29,1129.478,174.570537,65.564582,118.016247,38.840247,157.113483,118.016247,78.556742,118.016247,157.113483,1299.926,19.513340,2353.8847,0.839227,1.812953,5831.262035,10.0345835066802
-c30,1129.478,174.570537,87.285268,157.113483,59.008124,6007.756,6530.41,78.556742,6053.9348,157.113483,29.645681,2376.5679,29.645681,0.839227,0.016391,22871.941317,2.55834368303812
-c31,1129.478,174.570537,65.564582,157.113483,38.840247,157.113483,6530.41,38.840247,118.016247,157.113483,1299.926,39.466907,39.466907,57.16078,0.010789,10003.091692,5.84962010343612
-c32,1108.984,131.129164,43.155830,157.113483,78.556742,118.016247,77.680494,38.840247,118.016247,3427.0759,29.645681,1273.3007,1286.6509,0.552395,0.016391,7888.734421,7.41744910888224
-c33,1129.478,131.129164,43.155830,77.680494,1731.6018,77.680494,3366.9575,78.556742,6053.9348,118.016247,2479.9481,2376.5679,19.513340,1.117251,0.016391,17685.354053,3.30862963426006
-c34,1129.478,174.570537,43.155830,118.016247,38.840247,77.680494,118.016247,59.008124,157.113483,3427.0759,29.645681,2376.5679,1286.6509,0.839227,0.016391,9036.675208,6.47520076229788
-c35,1129.478,174.570537,43.155830,157.113483,78.556742,118.016247,77.680494,59.008124,118.016247,3427.0759,2479.9481,19.513340,39.466907,0.552395,0.016391,7922.168737,7.38614488619741
-c36,1129.478,174.570537,65.564582,157.113483,38.840247,157.113483,77.680494,1683.0934,77.680494,118.016247,1299.926,1273.3007,19.513340,0.839227,0.021821,6272.752055,9.32832756613193
-c37,1108.984,6358.145,43.155830,3356.913,3475.891,3053.2545,157.113483,38.840247,6053.9348,157.113483,1299.926,39.466907,29.645681,57.16078,0.010789,25229.5555,2.3192753677754
-c38,1129.478,174.570537,65.564582,157.113483,38.840247,157.113483,77.680494,1683.0934,77.680494,118.016247,1299.926,1273.3007,19.513340,57.16078,0.021821,6329.073608,9.24531606718965
-c39,1108.984,131.129164,3792.343,77.680494,59.008124,6007.756,157.113483,1683.0934,118.016247,77.680494,39.466907,39.466907,19.513340,1.117251,0.021821,13312.390632,4.39547546500005
-c40,1129.478,131.129164,65.564582,118.016247,1731.6018,6007.756,3366.9575,59.008124,118.016247,3427.0759,39.466907,29.645681,29.645681,0.839227,0.010789,16254.211849,3.59994609560877
-c41,1129.478,174.570537,3792.343,118.016247,38.840247,3053.2545,6530.41,59.008124,157.113483,77.680494,29.645681,19.513340,19.513340,0.839227,0.010789,15200.237009,3.84956408399405
-c42,1129.478,86.311660,1949.97,118.016247,38.840247,77.680494,118.016247,59.008124,6053.9348,157.113483,2479.9481,19.513340,19.513340,0.839227,0.010789,12308.194098,4.75409194083956
-c43,1129.478,131.129164,3792.343,118.016247,38.840247,3053.2545,118.016247,59.008124,157.113483,157.113483,39.466907,1273.3007,19.513340,0.839227,10.00372,10097.436389,5.79496458400552
-c44,1129.478,131.129164,43.155830,6973.454,3475.891,118.016247,157.113483,78.556742,157.113483,6493.6098,1299.926,19.513340,1286.6509,0.839227,10.00372,21374.450936,2.73758080356998
-c45,1129.478,174.570537,1949.97,118.016247,38.840247,77.680494,3366.9575,59.008124,157.113483,157.113483,29.645681,1273.3007,19.513340,0.839227,0.010789,8552.057852,6.84212936481748
-c46,1129.478,131.129164,1949.97,118.016247,59.008124,118.016247,157.113483,78.556742,118.016247,77.680494,2479.9481,19.513340,2353.8847,1.117251,10.00372,8801.451859,6.64825384670375
-c47,1108.984,174.570537,1949.97,118.016247,38.840247,77.680494,6530.41,59.008124,77.680494,6493.6098,39.466907,29.645681,1286.6509,0.839227,1.812953,17987.185611,3.2531096183221
-c48,1129.478,174.570537,3792.343,157.113483,38.840247,77.680494,6530.41,78.556742,157.113483,157.113483,29.645681,1273.3007,19.513340,57.16078,10.00372,13682.84369,4.27647115914345
-c49,1129.478,131.129164,1949.97,157.113483,3475.891,3053.2545,157.113483,3324.8076,6053.9348,118.016247,29.645681,39.466907,1286.6509,0.839227,0.010789,20907.321781,2.79874616060588
-c50,1108.984,131.129164,3792.343,157.113483,3475.891,3053.2545,77.680494,78.556742,3203.344,6493.6098,1299.926,19.513340,19.513340,0.839227,10.00372,22921.70181,2.55278980037133
-c51,1129.478,131.129164,43.155830,3356.913,1731.6018,3053.2545,77.680494,1683.0934,118.016247,157.113483,1299.926,39.466907,29.645681,0.552395,1.812953,12852.839854,4.55263483031153
-c12,3476.473444
-
-Compute Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,352.4661,1550.099,701.7255,1159.5933,558.563,925.6073,971.2723,490.07014,857.91333,883.36663,344.11179,344.22248,351.94343,12.419968,1.04789,9504.422158,0.999999989478582
-c1,442.9824,90.532480,426.5549,82.574848,41.518080,82.574848,82.574848,41.518080,83.036160,83.036160,21.220352,21.220352,21.220352,12.419968,0.018020,1533.001848,6.19987611261665
-c2,442.9824,90.532480,45.439232,82.574848,41.518080,925.6073,82.574848,41.518080,83.036160,83.036160,21.220352,21.220352,21.220352,0.922624,0.018020,1983.421288,4.79193287694848
-c3,442.9824,90.532480,426.5549,652.9992,41.518080,82.574848,590.3019,41.518080,83.036160,83.036160,21.220352,21.220352,21.220352,0.922624,0.018020,2599.655908,3.6560306935809
-c4,442.9824,1610.85,45.439232,82.574848,41.518080,82.574848,971.2723,41.518080,83.036160,83.036160,21.220352,21.220352,351.94343,0.922624,0.018020,3880.126886,2.44951317116506
-c5,352.4661,90.532480,45.439232,82.574848,41.518080,82.574848,971.2723,41.518080,83.036160,83.036160,21.220352,21.220352,21.220352,0.922624,0.018020,1938.569988,4.90280037685179
-c6,442.9824,1610.85,45.439232,82.574848,41.518080,82.574848,82.574848,41.518080,83.036160,83.036160,344.11179,21.220352,21.220352,0.922624,0.018020,2983.597794,3.18555733569639
-c7,352.4661,90.532480,45.439232,82.574848,41.518080,82.574848,82.574848,41.518080,857.91333,83.036160,21.220352,21.220352,21.220352,0.922624,1.669613,1826.401299,5.20390652525995
-c8,442.9824,90.532480,45.439232,82.574848,41.518080,82.574848,590.3019,41.518080,83.036160,83.036160,21.220352,21.220352,21.220352,12.419968,0.018020,1659.613232,5.72688949572743
-c9,442.9824,90.532480,426.5549,82.574848,558.563,544.1687,82.574848,41.518080,83.036160,83.036160,21.220352,21.220352,21.220352,0.922624,0.018020,2500.143276,3.80155084273855
-c10,442.9824,1610.85,45.439232,82.574848,41.518080,82.574848,82.574848,41.518080,83.036160,83.036160,344.11179,21.220352,351.94343,12.419968,0.018020,3325.818216,2.85776950360628
-c11,442.9824,1550.099,45.439232,82.574848,333.7788,82.574848,971.2723,490.07014,83.036160,83.036160,21.220352,21.220352,21.220352,0.922624,1.04789,4230.495458,2.24664510993915
-c12,442.9824,90.532480,45.439232,82.574848,41.518080,82.574848,82.574848,41.518080,83.036160,83.036160,208.37216,21.220352,21.220352,0.922624,0.018020,1327.540644,7.15942030476769
-c13,442.9824,90.532480,45.439232,82.574848,41.518080,82.574848,82.574848,290.68457,83.036160,83.036160,21.220352,344.22248,21.220352,0.922624,1.04789,1713.587324,5.54650555021814
-c14,442.9824,1610.85,701.7255,1159.5933,41.518080,82.574848,82.574848,41.518080,83.036160,83.036160,21.220352,21.220352,21.220352,0.922624,0.018020,4394.011076,2.16304005094774
-c15,352.4661,90.532480,45.439232,82.574848,41.518080,82.574848,82.574848,41.518080,83.036160,83.036160,21.220352,344.22248,210.33129,0.922624,0.018020,1561.985602,6.08483300828576
-c16,442.9824,90.532480,45.439232,82.574848,41.518080,544.1687,82.574848,290.68457,527.54432,83.036160,21.220352,344.22248,21.220352,12.419968,0.018020,2630.15681,3.61363313415396
-c17,442.9824,90.532480,45.439232,82.574848,41.518080,925.6073,590.3019,41.518080,83.036160,83.036160,21.220352,21.220352,351.94343,0.922624,0.018020,2821.871418,3.36812717991365
-c18,442.9824,90.532480,45.439232,82.574848,41.518080,82.574848,82.574848,490.07014,83.036160,83.036160,21.220352,344.22248,21.220352,0.922624,0.018020,1911.943024,4.97107996503352
-c19,352.4661,90.532480,45.439232,82.574848,41.518080,82.574848,82.574848,41.518080,83.036160,83.036160,344.11179,21.220352,351.94343,0.922624,0.018020,1703.487052,5.57939174759329
-c20,352.4661,90.532480,45.439232,82.574848,558.563,925.6073,82.574848,41.518080,527.54432,83.036160,21.220352,21.220352,21.220352,0.922624,0.018020,2854.458068,3.32967645648118
-c21,442.9824,90.532480,45.439232,82.574848,41.518080,82.574848,82.574848,41.518080,83.036160,83.036160,21.220352,344.22248,351.94343,0.922624,0.018020,1794.114042,5.29755712610619
-c22,352.4661,90.532480,426.5549,652.9992,41.518080,82.574848,82.574848,41.518080,83.036160,83.036160,344.11179,21.220352,351.94343,0.922624,0.018020,2655.027072,3.57978338535814
-c23,352.4661,90.532480,45.439232,82.574848,41.518080,82.574848,82.574848,41.518080,83.036160,543.5573,21.220352,344.22248,210.33129,0.922624,0.018020,2022.506742,4.69932756746639
-c24,352.4661,90.532480,45.439232,652.9992,41.518080,544.1687,82.574848,41.518080,857.91333,83.036160,344.11179,21.220352,210.33129,7.640322,0.018020,3375.487984,2.81571788182322
-c25,442.9824,90.532480,45.439232,82.574848,41.518080,82.574848,971.2723,490.07014,83.036160,83.036160,21.220352,344.22248,21.220352,0.922624,0.018020,2800.640476,3.39366009314006
-c26,442.9824,90.532480,45.439232,82.574848,41.518080,544.1687,971.2723,41.518080,83.036160,83.036160,344.11179,21.220352,21.220352,0.922624,0.018020,2813.571578,3.37806291992395
-c27,442.9824,90.532480,45.439232,82.574848,41.518080,544.1687,590.3019,490.07014,83.036160,83.036160,208.37216,21.220352,21.220352,0.922624,0.018020,2745.413608,3.46192711513918
-c28,442.9824,90.532480,45.439232,82.574848,41.518080,544.1687,590.3019,490.07014,83.036160,83.036160,208.37216,21.220352,21.220352,0.922624,0.018020,2745.413608,3.46192711513918
-c29,442.9824,90.532480,45.439232,82.574848,41.518080,82.574848,82.574848,41.518080,83.036160,83.036160,208.37216,21.220352,351.94343,0.922624,1.04789,1659.293592,5.72799270184895
-c30,442.9824,90.532480,45.439232,82.574848,41.518080,925.6073,971.2723,41.518080,857.91333,83.036160,21.220352,344.22248,21.220352,0.922624,0.018020,3969.998038,2.39406211983468
-c31,442.9824,90.532480,45.439232,82.574848,41.518080,82.574848,971.2723,41.518080,83.036160,83.036160,208.37216,21.220352,21.220352,7.640322,0.018020,2222.955794,4.27557837906432
-c32,352.4661,90.532480,45.439232,82.574848,41.518080,82.574848,82.574848,41.518080,83.036160,543.5573,21.220352,206.54856,210.33129,0.922624,0.018020,1884.832822,5.04258072270662
-c33,442.9824,90.532480,45.439232,82.574848,333.7788,82.574848,590.3019,41.518080,857.91333,83.036160,344.11179,344.22248,21.220352,0.922624,0.018020,3361.147344,2.82773139719484
-c34,442.9824,90.532480,45.439232,82.574848,41.518080,82.574848,82.574848,41.518080,83.036160,543.5573,21.220352,344.22248,210.33129,0.922624,0.018020,2113.023042,4.49802085414169
-c35,442.9824,90.532480,45.439232,82.574848,41.518080,82.574848,82.574848,41.518080,83.036160,543.5573,344.11179,21.220352,21.220352,0.922624,0.018020,1923.801414,4.94043802795344
-c36,442.9824,90.532480,45.439232,82.574848,41.518080,82.574848,82.574848,290.68457,83.036160,83.036160,208.37216,206.54856,21.220352,0.922624,0.018020,1762.035342,5.39400169341202
-c37,352.4661,1610.85,45.439232,652.9992,558.563,544.1687,82.574848,41.518080,857.91333,83.036160,208.37216,21.220352,21.220352,7.640322,0.018020,5087.999856,1.86800751576107
-c38,442.9824,90.532480,45.439232,82.574848,41.518080,82.574848,82.574848,290.68457,83.036160,83.036160,208.37216,206.54856,21.220352,7.640322,0.018020,1768.75304,5.3735153555685
-c39,352.4661,90.532480,701.7255,82.574848,41.518080,925.6073,82.574848,290.68457,83.036160,83.036160,21.220352,21.220352,21.220352,0.922624,0.018020,2798.357746,3.39642843447835
-c40,442.9824,90.532480,45.439232,82.574848,333.7788,925.6073,590.3019,41.518080,83.036160,543.5573,21.220352,21.220352,21.220352,0.922624,0.018020,3243.9302,2.92990948603304
-c41,442.9824,90.532480,701.7255,82.574848,41.518080,544.1687,971.2723,41.518080,83.036160,83.036160,21.220352,21.220352,21.220352,0.922624,0.018020,3146.966408,3.0201853543209
-c42,442.9824,90.532480,426.5549,82.574848,41.518080,82.574848,82.574848,41.518080,857.91333,83.036160,344.11179,21.220352,21.220352,0.922624,0.018020,2619.273112,3.62864863216873
-c43,442.9824,90.532480,701.7255,82.574848,41.518080,544.1687,82.574848,41.518080,83.036160,83.036160,21.220352,206.54856,21.220352,0.922624,1.669613,2445.248757,3.88689361035452
-c44,442.9824,90.532480,45.439232,1159.5933,558.563,82.574848,82.574848,41.518080,83.036160,883.36663,208.37216,21.220352,210.33129,0.922624,1.669613,3912.697017,2.4291228975289
-c45,442.9824,90.532480,426.5549,82.574848,41.518080,82.574848,590.3019,41.518080,83.036160,83.036160,21.220352,206.54856,21.220352,0.922624,0.018020,2214.559764,4.29178831988441
-c46,442.9824,90.532480,426.5549,82.574848,41.518080,82.574848,82.574848,41.518080,83.036160,83.036160,344.11179,21.220352,351.94343,0.922624,1.669613,2176.770613,4.36629457629054
-c47,352.4661,90.532480,426.5549,82.574848,41.518080,82.574848,971.2723,41.518080,83.036160,883.36663,21.220352,21.220352,210.33129,0.922624,1.04789,3310.156934,2.87129041322696
-c48,442.9824,90.532480,701.7255,82.574848,41.518080,82.574848,971.2723,41.518080,83.036160,83.036160,21.220352,206.54856,21.220352,7.640322,1.669613,2879.070055,3.30121242148057
-c49,442.9824,90.532480,426.5549,82.574848,558.563,544.1687,82.574848,490.07014,857.91333,83.036160,21.220352,21.220352,210.33129,0.922624,0.018020,3912.683444,2.42913132409463
-c50,352.4661,90.532480,701.7255,82.574848,558.563,544.1687,82.574848,41.518080,527.54432,883.36663,208.37216,21.220352,21.220352,0.922624,1.669613,4118.439607,2.30777256295524
-c51,442.9824,90.532480,45.439232,652.9992,333.7788,544.1687,82.574848,290.68457,83.036160,83.036160,208.37216,21.220352,21.220352,0.922624,1.04789,2902.015928,3.2751101531821
-c12,1327.540644
-
-Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,1108.984,7471.505,3792.343,6973.454,3475.891,6007.756,6530.41,3324.8076,6053.9348,6493.6098,2479.9481,2376.5679,2353.8847,69.37799,1.812953,58514.286843,0.999999998291016
-c1,1145.5648,472.88204,1949.97,336.517905,139.46418,272.76268,313.098433,152.266559,357.330128,357.330128,80.061262,69.928921,69.928921,69.37799,0.532687,5787.016634,10.1113042406143
-c2,1145.5648,384.623163,174.989917,336.517905,139.46418,6007.756,313.098433,152.266559,357.330128,357.330128,80.061262,69.928921,69.928921,2.857198,0.532687,9592.250202,6.10016263136917
-c3,1145.5648,472.88204,1949.97,3356.913,139.46418,272.76268,3366.9575,152.266559,357.330128,357.330128,80.061262,69.928921,89.882488,2.857198,0.532687,11814.703571,4.95266648004278
-c4,1145.5648,6358.145,174.989917,336.517905,139.46418,272.76268,6530.41,152.266559,357.330128,357.330128,80.061262,69.928921,2353.8847,2.857198,0.532687,18332.046065,3.19191247481784
-c5,1108.984,472.88204,174.989917,336.517905,139.46418,272.76268,6530.41,152.266559,357.330128,318.232892,80.061262,69.928921,69.928921,2.857198,0.532687,10087.14929,5.80087441760392
-c6,1145.5648,6358.145,174.989917,336.517905,179.180675,272.76268,313.098433,152.266559,357.330128,357.330128,2479.9481,69.928921,69.928921,2.857198,0.532687,12270.382052,4.76874200967429
-c7,1108.984,472.88204,219.119355,296.182152,159.632057,352.195669,313.098433,171.815177,6053.9348,357.330128,69.928921,89.882488,69.928921,2.857198,10.00372,9747.775059,6.00283509709131
-c8,1145.5648,472.88204,174.989917,336.517905,139.46418,272.76268,3366.9575,152.266559,357.330128,357.330128,80.061262,69.928921,69.928921,69.37799,0.532687,7065.895618,8.28122706282488
-c9,1145.5648,384.623163,1949.97,375.615141,3475.891,3197.8545,352.195669,171.815177,277.897139,318.232892,80.061262,89.882488,80.061262,2.857198,0.538289,11903.05998,4.91590283924703
-c10,1145.5648,6358.145,197.398669,336.517905,159.632057,352.195669,313.098433,152.266559,357.330128,277.897139,2479.9481,69.928921,2353.8847,69.37799,0.538289,14623.724359,4.00132585970519
-c11,1145.5648,7908.45,219.119355,375.615141,1731.6018,313.098433,6530.41,3324.8076,357.330128,277.897139,80.061262,69.928921,69.928921,3.135222,1.812953,22408.761675,2.61122356650159
-c12,1145.5648,472.88204,219.119355,336.517905,139.46418,272.76268,313.098433,171.815177,357.330128,357.330128,1299.926,69.928921,69.928921,2.857198,0.532687,5229.058553,11.1902142863571
-c13,1145.5648,472.88204,174.989917,336.517905,139.46418,272.76268,352.195669,1683.0934,357.330128,357.330128,80.061262,2376.5679,69.928921,2.857198,1.812953,7823.359081,7.47943249047151
-c14,1145.5648,6358.145,3996.263,6973.454,159.632057,313.098433,352.195669,152.266559,357.330128,318.232892,69.928921,69.928921,69.928921,2.857198,0.543719,20339.370218,2.87689765848925
-c15,1108.984,472.88204,197.398669,336.517905,139.46418,272.76268,313.098433,171.815177,318.232892,277.897139,69.928921,2376.5679,1319.7884,2.570366,0.538289,7378.446991,7.93043388687762
-c16,1145.5648,429.440667,197.398669,336.517905,139.46418,3053.2545,352.195669,1683.0934,3203.344,357.330128,69.928921,2376.5679,69.928921,69.37799,0.538289,13483.945939,4.33955213657467
-c17,1145.5648,429.440667,174.989917,336.517905,139.46418,6007.756,3519.4585,152.266559,357.330128,357.330128,80.061262,69.928921,2353.8847,2.570366,0.532687,15127.09672,3.86817692378596
-c18,1145.5648,472.88204,174.989917,336.517905,139.46418,272.76268,313.098433,3324.8076,357.330128,277.897139,80.061262,2376.5679,69.928921,2.857198,0.538289,9345.268392,6.26138102860191
-c19,1108.984,472.88204,174.989917,375.615141,139.46418,272.76268,313.098433,152.266559,357.330128,318.232892,2479.9481,69.928921,2353.8847,2.857198,0.532687,8592.777576,6.80970566786953
-c20,1108.984,429.440667,174.989917,375.615141,3475.891,6007.756,272.76268,171.815177,3203.344,277.897139,89.882488,69.928921,69.928921,2.857198,0.543719,15731.636968,3.71952941642831
-c21,1145.5648,472.88204,174.989917,336.517905,139.46418,272.76268,313.098433,152.266559,357.330128,277.897139,80.061262,2376.5679,2353.8847,2.857198,0.532687,8456.677528,6.91929968445996
-c22,1108.984,429.440667,1949.97,3356.913,139.46418,352.195669,272.76268,171.815177,357.330128,277.897139,2479.9481,80.061262,2353.8847,2.570366,0.543719,13333.780787,4.38842420907408
-c23,1108.984,472.88204,197.398669,336.517905,139.46418,272.76268,313.098433,171.815177,318.232892,3427.0759,69.928921,2376.5679,1319.7884,2.570366,0.538289,10527.625752,5.5581655033726
-c24,1108.984,384.623163,174.989917,3356.913,139.46418,3053.2545,352.195669,132.098682,6053.9348,277.897139,2479.9481,89.882488,1286.6509,57.16078,0.532687,18948.530005,3.08806469519025
-c25,1145.5648,472.88204,174.989917,336.517905,139.46418,313.098433,6530.41,3324.8076,357.330128,357.330128,80.061262,2376.5679,80.061262,2.857198,0.532687,15692.47544,3.72881172851584
-c26,1145.5648,429.440667,174.989917,336.517905,139.46418,3053.2545,6654.867,171.815177,357.330128,357.330128,2479.9481,69.928921,69.928921,2.857198,0.532687,15443.770229,3.78886020683195
-c27,1145.5648,429.440667,197.398669,336.517905,179.180675,3053.2545,3366.9575,3383.8134,357.330128,357.330128,1299.926,89.882488,80.061262,2.570366,0.532687,14279.761175,4.09770763783304
-c28,1145.5648,429.440667,197.398669,375.615141,179.180675,3053.2545,3366.9575,3383.8134,318.232892,357.330128,1299.926,89.882488,80.061262,2.570366,0.532687,14279.761175,4.09770763783304
-c29,1145.5648,472.88204,197.398669,336.517905,139.46418,352.195669,313.098433,171.815177,318.232892,357.330128,1299.926,69.928921,2353.8847,2.857198,1.812953,7532.909665,7.76781996179932
-c30,1145.5648,472.88204,219.119355,375.615141,159.632057,6007.756,6530.41,171.815177,6053.9348,357.330128,80.061262,2376.5679,80.061262,2.857198,0.538289,24034.145409,2.43463146301949
-c31,1145.5648,472.88204,197.398669,375.615141,139.46418,352.195669,6530.41,132.098682,318.232892,357.330128,1299.926,89.882488,89.882488,57.16078,0.532687,11558.576644,5.06241279864967
-c32,1108.984,429.440667,174.989917,375.615141,179.180675,313.098433,272.76268,132.098682,318.232892,3427.0759,80.061262,1273.3007,1286.6509,2.570366,0.538289,9374.600504,6.24178984414897
-c33,1145.5648,429.440667,174.989917,296.182152,1731.6018,272.76268,3366.9575,171.815177,6053.9348,318.232892,2479.9481,2376.5679,69.928921,3.135222,0.538289,18891.600817,3.09737047167584
-c34,1145.5648,472.88204,174.989917,336.517905,139.46418,272.76268,313.098433,152.266559,357.330128,3427.0759,80.061262,2376.5679,1319.7884,2.857198,0.538289,10571.765591,5.53495873379171
-c35,1145.5648,472.88204,174.989917,375.615141,179.180675,313.098433,272.76268,152.266559,318.232892,3427.0759,2492.7759,69.928921,89.882488,2.570366,0.538289,9487.365001,6.16760145942232
-c36,1145.5648,472.88204,197.398669,375.615141,139.46418,352.195669,272.76268,1683.0934,277.897139,318.232892,1299.926,1273.3007,69.928921,2.857198,0.543719,7881.663148,7.42410389810148
-c37,1108.984,6756.043,174.989917,3356.913,3586.141,3197.8545,352.195669,132.098682,6053.9348,357.330128,1299.926,89.882488,80.061262,57.16078,0.532687,26604.047913,2.19945050521662
-c38,1145.5648,472.88204,197.398669,375.615141,139.46418,352.195669,272.76268,1683.0934,277.897139,318.232892,1299.926,1273.3007,69.928921,57.16078,0.543719,7935.96673,7.37330284972978
-c39,1108.984,429.440667,3792.343,296.182152,159.632057,6007.756,352.195669,1683.0934,318.232892,277.897139,89.882488,89.882488,69.928921,3.135222,0.543719,14679.129814,3.98622310626142
-c40,1145.5648,429.440667,197.398669,336.517905,1731.6018,6130.47,3519.4585,152.266559,318.232892,3427.0759,89.882488,80.061262,80.061262,2.857198,0.532687,17641.422589,3.31686893254281
-c41,1145.5648,472.88204,3792.343,336.517905,139.46418,3053.2545,6654.867,152.266559,357.330128,277.897139,80.061262,69.928921,69.928921,2.857198,0.532687,16605.69624,3.52374785404513
-c42,1145.5648,384.623163,1949.97,336.517905,139.46418,272.76268,313.098433,152.266559,6053.9348,357.330128,2479.9481,69.928921,69.928921,2.857198,0.532687,13728.728475,4.26217814150354
-c43,1145.5648,429.440667,3792.343,336.517905,139.46418,3053.2545,313.098433,152.266559,357.330128,357.330128,89.882488,1273.3007,69.928921,2.857198,10.00372,11522.583327,5.0782263555487
-c44,1145.5648,429.440667,174.989917,6973.454,3475.891,313.098433,352.195669,171.815177,357.330128,6493.6098,1337.2918,69.928921,1286.6509,2.857198,10.00372,22594.12213,2.58980128758027
-c45,1145.5648,472.88204,1949.97,336.517905,139.46418,272.76268,3366.9575,152.266559,357.330128,357.330128,80.061262,1273.3007,69.928921,2.857198,0.532687,9977.726688,5.86449078896146
-c46,1145.5648,429.440667,1949.97,336.517905,159.632057,313.098433,352.195669,171.815177,318.232892,277.897139,2479.9481,69.928921,2353.8847,3.135222,10.00372,10371.265402,5.64196209534083
-c47,1108.984,472.88204,1949.97,336.517905,139.46418,272.76268,6530.41,152.266559,277.897139,6493.6098,89.882488,80.061262,1286.6509,2.857198,1.812953,19196.029104,3.04824952187544
-c48,1145.5648,472.88204,3792.343,375.615141,139.46418,272.76268,6530.41,171.815177,357.330128,357.330128,80.061262,1273.3007,69.928921,57.16078,10.00372,15105.972657,3.87358614928555
-c49,1145.5648,429.440667,1949.97,375.615141,3475.891,3197.8545,352.195669,3324.8076,6053.9348,318.232892,80.061262,89.882488,1286.6509,2.857198,0.532687,22083.491604,2.64968455293695
-c50,1108.984,429.440667,3792.343,375.615141,3475.891,3197.8545,272.76268,171.815177,3203.344,6559.316,1337.2918,69.928921,69.928921,2.857198,10.00372,24077.376725,2.43026004320552
-c51,1145.5648,429.440667,174.989917,3356.913,1731.6018,3053.2545,272.76268,1683.0934,318.232892,357.330128,1299.926,89.882488,80.061262,2.570366,1.812953,13997.436853,4.18035723536222
-c12,5229.058553
-
-Leakage Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,188.762345,0,157.595858,76.708720,151.959867,151.959867,74.930729,153.127903,153.127903,38.454652,38.454652,38.454652,0,0.102999,1223.640147,0
-c2,0,188.762345,90.173220,157.595858,76.708720,0,151.959867,74.930729,153.127903,153.127903,38.454652,38.454652,38.454652,1.156348,0.102999,1163.009848,0
-c3,0,188.762345,0,0,76.708720,151.959867,0,74.930729,153.127903,153.127903,38.454652,38.454652,38.454652,1.156348,0.102999,915.24077,0
-c4,0,0,90.173220,157.595858,76.708720,151.959867,0,74.930729,153.127903,153.127903,38.454652,38.454652,0,1.156348,0.102999,935.792851,0
-c5,0,188.762345,90.173220,157.595858,76.708720,151.959867,0,74.930729,153.127903,153.127903,38.454652,38.454652,38.454652,1.156348,0.102999,1163.009848,0
-c6,0,0,90.173220,157.595858,76.708720,151.959867,151.959867,74.930729,153.127903,153.127903,0,38.454652,38.454652,1.156348,0.102999,1087.752718,0
-c7,0,188.762345,90.173220,157.595858,76.708720,151.959867,151.959867,74.930729,0,153.127903,38.454652,38.454652,38.454652,1.156348,0,1161.738813,0
-c8,0,188.762345,90.173220,157.595858,76.708720,151.959867,0,74.930729,153.127903,153.127903,38.454652,38.454652,38.454652,0,0.102999,1161.8535,0
-c9,0,188.762345,0,157.595858,0,0,151.959867,74.930729,153.127903,153.127903,38.454652,38.454652,38.454652,1.156348,0.102999,996.127908,0
-c10,0,0,90.173220,157.595858,76.708720,151.959867,151.959867,74.930729,153.127903,153.127903,0,38.454652,0,0,0.102999,1048.141718,0
-c11,0,0,90.173220,157.595858,0,151.959867,0,0,153.127903,153.127903,38.454652,38.454652,38.454652,1.156348,0,822.505055,0
-c12,0,188.762345,90.173220,157.595858,76.708720,151.959867,151.959867,74.930729,153.127903,153.127903,0,38.454652,38.454652,1.156348,0.102999,1276.515063,0
-c13,0,188.762345,90.173220,157.595858,76.708720,151.959867,151.959867,0,153.127903,153.127903,38.454652,0,38.454652,1.156348,0,1201.481335,0
-c14,0,0,0,0,76.708720,151.959867,151.959867,74.930729,153.127903,153.127903,38.454652,38.454652,38.454652,1.156348,0.102999,878.438292,0
-c15,0,188.762345,90.173220,157.595858,76.708720,151.959867,151.959867,74.930729,153.127903,153.127903,38.454652,0,0,1.156348,0.102999,1238.060411,0
-c16,0,188.762345,90.173220,157.595858,76.708720,0,151.959867,0,0,153.127903,38.454652,0,38.454652,0,0.102999,895.340216,0
-c17,0,188.762345,90.173220,157.595858,76.708720,0,0,74.930729,153.127903,153.127903,38.454652,38.454652,0,1.156348,0.102999,972.595329,0
-c18,0,188.762345,90.173220,157.595858,76.708720,151.959867,151.959867,0,153.127903,153.127903,38.454652,0,38.454652,1.156348,0.102999,1201.584334,0
-c19,0,188.762345,90.173220,157.595858,76.708720,151.959867,151.959867,74.930729,153.127903,153.127903,0,38.454652,0,1.156348,0.102999,1238.060411,0
-c20,0,188.762345,90.173220,157.595858,0,0,151.959867,74.930729,0,153.127903,38.454652,38.454652,38.454652,1.156348,0.102999,933.173225,0
-c21,0,188.762345,90.173220,157.595858,76.708720,151.959867,151.959867,74.930729,153.127903,153.127903,38.454652,0,0,1.156348,0.102999,1238.060411,0
-c22,0,188.762345,0,0,76.708720,151.959867,151.959867,74.930729,153.127903,153.127903,0,38.454652,0,1.156348,0.102999,990.291333,0
-c23,0,188.762345,90.173220,157.595858,76.708720,151.959867,151.959867,74.930729,153.127903,0,38.454652,0,0,1.156348,0.102999,1084.932508,0
-c24,0,188.762345,90.173220,0,76.708720,0,151.959867,74.930729,0,153.127903,0,38.454652,0,0,0.102999,774.220435,0
-c25,0,188.762345,90.173220,157.595858,76.708720,151.959867,0,0,153.127903,153.127903,38.454652,0,38.454652,1.156348,0.102999,1049.624467,0
-c26,0,188.762345,90.173220,157.595858,76.708720,0,0,74.930729,153.127903,153.127903,0,38.454652,38.454652,1.156348,0.102999,972.595329,0
-c27,0,188.762345,90.173220,157.595858,76.708720,0,0,0,153.127903,153.127903,0,38.454652,38.454652,1.156348,0.102999,897.6646,0
-c28,0,188.762345,90.173220,157.595858,76.708720,0,0,0,153.127903,153.127903,0,38.454652,38.454652,1.156348,0.102999,897.6646,0
-c29,0,188.762345,90.173220,157.595858,76.708720,151.959867,151.959867,74.930729,153.127903,153.127903,0,38.454652,0,1.156348,0,1237.957412,0
-c30,0,188.762345,90.173220,157.595858,76.708720,0,0,74.930729,0,153.127903,38.454652,0,38.454652,1.156348,0.102999,819.467426,0
-c31,0,188.762345,90.173220,157.595858,76.708720,151.959867,0,74.930729,153.127903,153.127903,0,38.454652,38.454652,0,0.102999,1123.398848,0
-c32,0,188.762345,90.173220,157.595858,76.708720,151.959867,151.959867,74.930729,153.127903,0,38.454652,0,0,1.156348,0.102999,1084.932508,0
-c33,0,188.762345,90.173220,157.595858,0,151.959867,0,74.930729,0,153.127903,0,0,38.454652,1.156348,0.102999,856.263921,0
-c34,0,188.762345,90.173220,157.595858,76.708720,151.959867,151.959867,74.930729,153.127903,0,38.454652,0,0,1.156348,0.102999,1084.932508,0
-c35,0,188.762345,90.173220,157.595858,76.708720,151.959867,151.959867,74.930729,153.127903,0,0,38.454652,38.454652,1.156348,0.102999,1123.38716,0
-c36,0,188.762345,90.173220,157.595858,76.708720,151.959867,151.959867,0,153.127903,153.127903,0,0,38.454652,1.156348,0.102999,1163.129682,0
-c37,0,0,90.173220,0,0,0,151.959867,74.930729,0,153.127903,0,38.454652,38.454652,0,0.102999,547.204022,0
-c38,0,188.762345,90.173220,157.595858,76.708720,151.959867,151.959867,0,153.127903,153.127903,0,0,38.454652,0,0.102999,1161.973334,0
-c39,0,188.762345,0,157.595858,76.708720,0,151.959867,0,153.127903,153.127903,38.454652,38.454652,38.454652,1.156348,0.102999,997.905899,0
-c40,0,188.762345,90.173220,157.595858,0,0,0,74.930729,153.127903,0,38.454652,38.454652,38.454652,1.156348,0.102999,781.213358,0
-c41,0,188.762345,0,157.595858,76.708720,0,0,74.930729,153.127903,153.127903,38.454652,38.454652,38.454652,1.156348,0.102999,920.876761,0
-c42,0,188.762345,0,157.595858,76.708720,151.959867,151.959867,74.930729,0,153.127903,0,38.454652,38.454652,1.156348,0.102999,1033.21394,0
-c43,0,188.762345,0,157.595858,76.708720,0,151.959867,74.930729,153.127903,153.127903,38.454652,0,38.454652,1.156348,0,1034.278977,0
-c44,0,188.762345,90.173220,0,0,151.959867,151.959867,74.930729,153.127903,0,0,38.454652,0,1.156348,0,850.524931,0
-c45,0,188.762345,0,157.595858,76.708720,151.959867,0,74.930729,153.127903,153.127903,38.454652,0,38.454652,1.156348,0.102999,1034.381976,0
-c46,0,188.762345,0,157.595858,76.708720,151.959867,151.959867,74.930729,153.127903,153.127903,0,38.454652,0,1.156348,0,1147.784192,0
-c47,0,188.762345,0,157.595858,76.708720,151.959867,0,74.930729,153.127903,0,38.454652,38.454652,0,1.156348,0,881.151074,0
-c48,0,188.762345,0,157.595858,76.708720,151.959867,0,74.930729,153.127903,153.127903,38.454652,0,38.454652,0,0,1033.122629,0
-c49,0,188.762345,0,157.595858,0,0,151.959867,0,0,153.127903,38.454652,38.454652,0,1.156348,0.102999,729.614624,0
-c50,0,188.762345,0,157.595858,0,0,151.959867,74.930729,0,0,0,38.454652,38.454652,1.156348,0,651.314451,0
-c51,0,188.762345,90.173220,0,0,0,151.959867,0,153.127903,153.127903,0,38.454652,38.454652,1.156348,0,815.21689,0
-c0,0
-
-Memory Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,109.549158,0,60.905800,23.915213,43.122319,43.122319,18.327706,47.088742,47.088742,11.960929,11.960929,11.960929,0,0.418899,429.421685,0
-c2,0,109.549158,41.660867,60.905800,23.915213,0,43.122319,18.327706,47.088742,47.088742,11.960929,11.960929,11.960929,0.861623,0.418899,428.821856,0
-c3,0,109.549158,0,0,23.915213,43.122319,0,18.327706,47.088742,47.088742,11.960929,11.960929,11.960929,0.861623,0.418899,326.255189,0
-c4,0,0,41.660867,60.905800,23.915213,43.122319,0,18.327706,47.088742,47.088742,11.960929,11.960929,0,0.861623,0.418899,307.311769,0
-c5,0,109.549158,41.660867,60.905800,23.915213,43.122319,0,18.327706,47.088742,47.088742,11.960929,11.960929,11.960929,0.861623,0.418899,428.821856,0
-c6,0,0,41.660867,60.905800,23.915213,43.122319,43.122319,18.327706,47.088742,47.088742,0,11.960929,11.960929,0.861623,0.418899,350.434088,0
-c7,0,109.549158,41.660867,60.905800,23.915213,43.122319,43.122319,18.327706,0,47.088742,11.960929,11.960929,11.960929,0.861623,0,424.436534,0
-c8,0,109.549158,41.660867,60.905800,23.915213,43.122319,0,18.327706,47.088742,47.088742,11.960929,11.960929,11.960929,0,0.418899,427.960233,0
-c9,0,109.549158,0,60.905800,0,0,43.122319,18.327706,47.088742,47.088742,11.960929,11.960929,11.960929,0.861623,0.418899,363.245776,0
-c10,0,0,41.660867,60.905800,23.915213,43.122319,43.122319,18.327706,47.088742,47.088742,0,11.960929,0,0,0.418899,337.611536,0
-c11,0,0,41.660867,60.905800,0,43.122319,0,0,47.088742,47.088742,11.960929,11.960929,11.960929,0.861623,0,276.61088,0
-c12,0,109.549158,41.660867,60.905800,23.915213,43.122319,43.122319,18.327706,47.088742,47.088742,0,11.960929,11.960929,0.861623,0.418899,459.983246,0
-c13,0,109.549158,41.660867,60.905800,23.915213,43.122319,43.122319,0,47.088742,47.088742,11.960929,0,11.960929,0.861623,0,441.236641,0
-c14,0,0,0,0,23.915213,43.122319,43.122319,18.327706,47.088742,47.088742,11.960929,11.960929,11.960929,0.861623,0.418899,259.82835,0
-c15,0,109.549158,41.660867,60.905800,23.915213,43.122319,43.122319,18.327706,47.088742,47.088742,11.960929,0,0,0.861623,0.418899,448.022317,0
-c16,0,109.549158,41.660867,60.905800,23.915213,0,43.122319,0,0,47.088742,11.960929,0,11.960929,0,0.418899,350.582856,0
-c17,0,109.549158,41.660867,60.905800,23.915213,0,0,18.327706,47.088742,47.088742,11.960929,11.960929,0,0.861623,0.418899,373.738608,0
-c18,0,109.549158,41.660867,60.905800,23.915213,43.122319,43.122319,0,47.088742,47.088742,11.960929,0,11.960929,0.861623,0.418899,441.65554,0
-c19,0,109.549158,41.660867,60.905800,23.915213,43.122319,43.122319,18.327706,47.088742,47.088742,0,11.960929,0,0.861623,0.418899,448.022317,0
-c20,0,109.549158,41.660867,60.905800,0,0,43.122319,18.327706,0,47.088742,11.960929,11.960929,11.960929,0.861623,0.418899,357.817901,0
-c21,0,109.549158,41.660867,60.905800,23.915213,43.122319,43.122319,18.327706,47.088742,47.088742,11.960929,0,0,0.861623,0.418899,448.022317,0
-c22,0,109.549158,0,0,23.915213,43.122319,43.122319,18.327706,47.088742,47.088742,0,11.960929,0,0.861623,0.418899,345.45565,0
-c23,0,109.549158,41.660867,60.905800,23.915213,43.122319,43.122319,18.327706,47.088742,0,11.960929,0,0,0.861623,0.418899,400.933575,0
-c24,0,109.549158,41.660867,0,23.915213,0,43.122319,18.327706,0,47.088742,0,11.960929,0,0,0.418899,296.043833,0
-c25,0,109.549158,41.660867,60.905800,23.915213,43.122319,0,0,47.088742,47.088742,11.960929,0,11.960929,0.861623,0.418899,398.533221,0
-c26,0,109.549158,41.660867,60.905800,23.915213,0,0,18.327706,47.088742,47.088742,0,11.960929,11.960929,0.861623,0.418899,373.738608,0
-c27,0,109.549158,41.660867,60.905800,23.915213,0,0,0,47.088742,47.088742,0,11.960929,11.960929,0.861623,0.418899,355.410902,0
-c28,0,109.549158,41.660867,60.905800,23.915213,0,0,0,47.088742,47.088742,0,11.960929,11.960929,0.861623,0.418899,355.410902,0
-c29,0,109.549158,41.660867,60.905800,23.915213,43.122319,43.122319,18.327706,47.088742,47.088742,0,11.960929,0,0.861623,0,447.603418,0
-c30,0,109.549158,41.660867,60.905800,23.915213,0,0,18.327706,0,47.088742,11.960929,0,11.960929,0.861623,0.418899,326.649866,0
-c31,0,109.549158,41.660867,60.905800,23.915213,43.122319,0,18.327706,47.088742,47.088742,0,11.960929,11.960929,0,0.418899,415.999304,0
-c32,0,109.549158,41.660867,60.905800,23.915213,43.122319,43.122319,18.327706,47.088742,0,11.960929,0,0,0.861623,0.418899,400.933575,0
-c33,0,109.549158,41.660867,60.905800,0,43.122319,0,18.327706,0,47.088742,0,0,11.960929,0.861623,0.418899,333.896043,0
-c34,0,109.549158,41.660867,60.905800,23.915213,43.122319,43.122319,18.327706,47.088742,0,11.960929,0,0,0.861623,0.418899,400.933575,0
-c35,0,109.549158,41.660867,60.905800,23.915213,43.122319,43.122319,18.327706,47.088742,0,0,11.960929,11.960929,0.861623,0.418899,412.894504,0
-c36,0,109.549158,41.660867,60.905800,23.915213,43.122319,43.122319,0,47.088742,47.088742,0,0,11.960929,0.861623,0.418899,429.694611,0
-c37,0,0,41.660867,0,0,0,43.122319,18.327706,0,47.088742,0,11.960929,11.960929,0,0.418899,174.540391,0
-c38,0,109.549158,41.660867,60.905800,23.915213,43.122319,43.122319,0,47.088742,47.088742,0,0,11.960929,0,0.418899,428.832988,0
-c39,0,109.549158,0,60.905800,23.915213,0,43.122319,0,47.088742,47.088742,11.960929,11.960929,11.960929,0.861623,0.418899,368.833283,0
-c40,0,109.549158,41.660867,60.905800,0,0,0,18.327706,47.088742,0,11.960929,11.960929,11.960929,0.861623,0.418899,314.695582,0
-c41,0,109.549158,0,60.905800,23.915213,0,0,18.327706,47.088742,47.088742,11.960929,11.960929,11.960929,0.861623,0.418899,344.03867,0
-c42,0,109.549158,0,60.905800,23.915213,43.122319,43.122319,18.327706,0,47.088742,0,11.960929,11.960929,0.861623,0.418899,371.233637,0
-c43,0,109.549158,0,60.905800,23.915213,0,43.122319,18.327706,47.088742,47.088742,11.960929,0,11.960929,0.861623,0,374.781161,0
-c44,0,109.549158,41.660867,0,0,43.122319,43.122319,18.327706,47.088742,0,0,11.960929,0,0.861623,0,315.693663,0
-c45,0,109.549158,0,60.905800,23.915213,43.122319,0,18.327706,47.088742,47.088742,11.960929,0,11.960929,0.861623,0.418899,375.20006,0
-c46,0,109.549158,0,60.905800,23.915213,43.122319,43.122319,18.327706,47.088742,47.088742,0,11.960929,0,0.861623,0,405.942551,0
-c47,0,109.549158,0,60.905800,23.915213,43.122319,0,18.327706,47.088742,0,11.960929,11.960929,0,0.861623,0,327.692419,0
-c48,0,109.549158,0,60.905800,23.915213,43.122319,0,18.327706,47.088742,47.088742,11.960929,0,11.960929,0,0,373.919538,0
-c49,0,109.549158,0,60.905800,0,0,43.122319,0,0,47.088742,11.960929,11.960929,0,0.861623,0.418899,285.868399,0
-c50,0,109.549158,0,60.905800,0,0,43.122319,18.327706,0,0,0,11.960929,11.960929,0.861623,0,256.688464,0
-c51,0,109.549158,41.660867,0,0,0,43.122319,0,47.088742,47.088742,0,11.960929,11.960929,0.861623,0,313.293309,0
-c0,0
-
-Memory Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,32.936441,0,21.882908,9.597736,18.163317,18.163317,8.429972,19.033555,19.033555,4.848960,4.848960,4.848960,0,0.089271,161.876952,0
-c2,0,32.936441,13.739047,21.882908,9.597736,0,18.163317,8.429972,19.033555,19.033555,4.848960,4.848960,4.848960,0.281905,0.089271,157.734587,0
-c3,0,32.936441,0,0,9.597736,18.163317,0,8.429972,19.033555,19.033555,4.848960,4.848960,4.848960,0.281905,0.089271,122.112632,0
-c4,0,0,13.739047,21.882908,9.597736,18.163317,0,8.429972,19.033555,19.033555,4.848960,4.848960,0,0.281905,0.089271,119.949186,0
-c5,0,32.936441,13.739047,21.882908,9.597736,18.163317,0,8.429972,19.033555,19.033555,4.848960,4.848960,4.848960,0.281905,0.089271,157.734587,0
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-c46,16.0868,0,0,0,0,0,0,0,0,0,0,0,0,0,0,16.0868,0
-c47,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c48,16.0868,0,0,0,0,0,0,0,0,0,0,0,0,0,0,16.0868,0
-c49,16.0868,0,0,0,0,144.6,0,0,0,0,0,0,0,0,0,160.6868,0
-c50,0,0,0,0,0,144.6,0,0,0,65.7062,37.3658,0,0,0,0,247.672,0
-c51,16.0868,0,0,0,0,0,0,0,0,0,0,0,0,0,0,16.0868,0
-c0,0
-
-Quantization Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,7.62006,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.62006,0
-c2,7.62006,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.62006,0
-c3,7.62006,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.62006,0
-c4,7.62006,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.62006,0
-c5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c6,7.62006,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.62006,0
-c7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c8,7.62006,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.62006,0
-c9,7.62006,0,0,0,0,28.103,0,0,0,0,0,0,0,0,0,35.72306,0
-c10,7.62006,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.62006,0
-c11,7.62006,83.3307,0,0,0,0,0,0,0,0,0,0,0,0,0,90.95076,0
-c12,7.62006,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.62006,0
-c13,7.62006,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.62006,0
-c14,7.62006,0,41.6322,0,0,0,0,0,0,0,0,0,0,0,0,49.25226,0
-c15,0,0,0,0,0,0,0,0,0,0,0,0,6.20782,0,0,6.20782,0
-c16,7.62006,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.62006,0
-c17,7.62006,0,0,0,0,0,28.2053,0,0,0,0,0,0,0,0,35.82536,0
-c18,7.62006,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.62006,0
-c19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c20,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c21,7.62006,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.62006,0
-c22,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c23,0,0,0,0,0,0,0,0,0,0,0,0,6.20782,0,0,6.20782,0
-c24,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c25,7.62006,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.62006,0
-c26,7.62006,0,0,0,0,0,20.8436,0,0,0,0,0,0,0,0,28.46366,0
-c27,7.62006,0,0,0,0,0,0,10.5597,0,0,0,0,0,0,0,18.17976,0
-c28,7.62006,0,0,0,0,0,0,10.5597,0,0,0,0,0,0,0,18.17976,0
-c29,7.62006,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.62006,0
-c30,7.62006,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.62006,0
-c31,7.62006,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.62006,0
-c32,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c33,7.62006,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.62006,0
-c34,7.62006,0,0,0,0,0,0,0,0,0,0,0,6.20782,0,0,13.82788,0
-c35,7.62006,0,0,0,0,0,0,0,0,0,2.77964,0,0,0,0,10.3997,0
-c36,7.62006,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.62006,0
-c37,0,109.635,0,0,20.8418,28.103,0,0,0,0,0,0,0,0,0,158.5798,0
-c38,7.62006,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.62006,0
-c39,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c40,7.62006,0,0,0,0,20.8654,28.2053,0,0,0,0,0,0,0,0,56.69076,0
-c41,7.62006,0,0,0,0,0,20.8436,0,0,0,0,0,0,0,0,28.46366,0
-c42,7.62006,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.62006,0
-c43,7.62006,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.62006,0
-c44,7.62006,0,0,0,0,0,0,0,0,0,6.79928,0,0,0,0,14.41934,0
-c45,7.62006,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.62006,0
-c46,7.62006,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.62006,0
-c47,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c48,7.62006,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.62006,0
-c49,7.62006,0,0,0,0,28.103,0,0,0,0,0,0,0,0,0,35.72306,0
-c50,0,0,0,0,0,28.103,0,0,0,10.5438,6.79928,0,0,0,0,45.44608,0
-c51,7.62006,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.62006,0
-c0,0
-
-Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,352.4661,1550.099,701.7255,1159.5933,558.563,925.6073,971.2723,490.07014,857.91333,883.36663,344.11179,344.22248,351.94343,12.419968,1.04789,9504.422158,0.999999989478582
-c1,450.60246,123.468921,426.5549,104.457756,51.115816,100.738165,100.738165,49.948052,102.069715,102.069715,26.069312,26.069312,26.069312,12.419968,0.107291,1702.49886,5.5826302284496
-c2,450.60246,123.468921,59.178279,104.457756,51.115816,925.6073,100.738165,49.948052,102.069715,102.069715,26.069312,26.069312,26.069312,1.204529,0.107291,2148.775935,4.42317952322099
-c3,450.60246,123.468921,426.5549,652.9992,51.115816,100.738165,590.3019,49.948052,102.069715,102.069715,26.069312,26.069312,26.069312,1.204529,0.107291,2729.3886,3.48225306201348
-c4,450.60246,1610.85,59.178279,104.457756,51.115816,100.738165,971.2723,49.948052,102.069715,102.069715,26.069312,26.069312,351.94343,1.204529,0.107291,4007.696132,2.37154255407649
-c5,352.4661,123.468921,59.178279,104.457756,51.115816,100.738165,971.2723,49.948052,102.069715,102.069715,26.069312,26.069312,26.069312,1.204529,0.107291,2096.304575,4.53389350858553
-c6,450.60246,1610.85,59.178279,104.457756,51.115816,100.738165,100.738165,49.948052,102.069715,102.069715,344.11179,26.069312,26.069312,1.204529,0.107291,3129.330357,3.03720629335887
-c7,352.4661,123.468921,59.178279,104.457756,51.115816,100.738165,100.738165,49.948052,857.91333,102.069715,26.069312,26.069312,26.069312,1.204529,1.669613,1983.176377,4.79252465336699
-c8,450.60246,123.468921,59.178279,104.457756,51.115816,100.738165,590.3019,49.948052,102.069715,102.069715,26.069312,26.069312,26.069312,12.419968,0.107291,1824.685974,5.20879853988517
-c9,450.60246,123.468921,426.5549,104.457756,558.563,572.2717,100.738165,49.948052,102.069715,102.069715,26.069312,26.069312,26.069312,1.204529,0.107291,2670.26414,3.55935641710125
-c10,450.60246,1610.85,59.178279,104.457756,51.115816,100.738165,100.738165,49.948052,102.069715,102.069715,344.11179,26.069312,351.94343,12.419968,0.107291,3466.419914,2.74185532036338
-c11,450.60246,1633.4297,59.178279,104.457756,333.7788,100.738165,971.2723,490.07014,102.069715,102.069715,26.069312,26.069312,26.069312,1.204529,1.04789,4428.127385,2.14637500618391
-c12,450.60246,123.468921,59.178279,104.457756,51.115816,100.738165,100.738165,49.948052,102.069715,102.069715,208.37216,26.069312,26.069312,1.204529,0.107291,1506.209648,6.31015844282001
-c13,450.60246,123.468921,59.178279,104.457756,51.115816,100.738165,100.738165,290.68457,102.069715,102.069715,26.069312,344.22248,26.069312,1.204529,1.04789,1883.737085,5.04551390378802
-c14,450.60246,1610.85,743.3577,1159.5933,51.115816,100.738165,100.738165,49.948052,102.069715,102.069715,26.069312,26.069312,26.069312,1.204529,0.107291,4550.602844,2.08860721863938
-c15,352.4661,123.468921,59.178279,104.457756,51.115816,100.738165,100.738165,49.948052,102.069715,102.069715,26.069312,344.22248,216.53911,1.204529,0.107291,1734.393406,5.47996871824081
-c16,450.60246,123.468921,59.178279,104.457756,51.115816,544.1687,100.738165,290.68457,527.54432,102.069715,26.069312,344.22248,26.069312,12.419968,0.107291,2762.917065,3.43999533478594
-c17,450.60246,123.468921,59.178279,104.457756,51.115816,925.6073,618.5072,49.948052,102.069715,102.069715,26.069312,26.069312,351.94343,1.204529,0.107291,2992.419088,3.1761666935281
-c18,450.60246,123.468921,59.178279,104.457756,51.115816,100.738165,100.738165,490.07014,102.069715,102.069715,26.069312,344.22248,26.069312,1.204529,0.107291,2082.182056,4.56464489939659
-c19,352.4661,123.468921,59.178279,104.457756,51.115816,100.738165,100.738165,49.948052,102.069715,102.069715,344.11179,26.069312,351.94343,1.204529,0.107291,1869.687036,5.08342918716001
-c20,352.4661,123.468921,59.178279,104.457756,558.563,925.6073,100.738165,49.948052,527.54432,102.069715,26.069312,26.069312,26.069312,1.204529,0.107291,2983.561364,3.18559623211436
-c21,450.60246,123.468921,59.178279,104.457756,51.115816,100.738165,100.738165,49.948052,102.069715,102.069715,26.069312,344.22248,351.94343,1.204529,0.107291,1967.934086,4.82964431718043
-c22,352.4661,123.468921,426.5549,652.9992,51.115816,100.738165,100.738165,49.948052,102.069715,102.069715,344.11179,26.069312,351.94343,1.204529,0.107291,2785.605101,3.4119774599028
-c23,352.4661,123.468921,59.178279,104.457756,51.115816,100.738165,100.738165,49.948052,102.069715,543.5573,26.069312,344.22248,216.53911,1.204529,0.107291,2175.880991,4.36807976194688
-c24,352.4661,123.468921,59.178279,652.9992,51.115816,544.1687,100.738165,49.948052,857.91333,102.069715,344.11179,26.069312,210.33129,7.640322,0.107291,3482.326283,2.72933123224711
-c25,450.60246,123.468921,59.178279,104.457756,51.115816,100.738165,971.2723,490.07014,102.069715,102.069715,26.069312,344.22248,26.069312,1.204529,0.107291,2952.716191,3.21887415562744
-c26,450.60246,123.468921,59.178279,104.457756,51.115816,544.1687,992.1159,49.948052,102.069715,102.069715,344.11179,26.069312,26.069312,1.204529,0.107291,2976.757548,3.19287737931429
-c27,450.60246,123.468921,59.178279,104.457756,51.115816,544.1687,590.3019,500.62984,102.069715,102.069715,208.37216,26.069312,26.069312,1.204529,0.107291,2889.885706,3.28885734455903
-c28,450.60246,123.468921,59.178279,104.457756,51.115816,544.1687,590.3019,500.62984,102.069715,102.069715,208.37216,26.069312,26.069312,1.204529,0.107291,2889.885706,3.28885734455903
-c29,450.60246,123.468921,59.178279,104.457756,51.115816,100.738165,100.738165,49.948052,102.069715,102.069715,208.37216,26.069312,351.94343,1.204529,1.04789,1833.024365,5.1851038212957
-c30,450.60246,123.468921,59.178279,104.457756,51.115816,925.6073,971.2723,49.948052,857.91333,102.069715,26.069312,344.22248,26.069312,1.204529,0.107291,4093.306853,2.32194220153321
-c31,450.60246,123.468921,59.178279,104.457756,51.115816,100.738165,971.2723,49.948052,102.069715,102.069715,208.37216,26.069312,26.069312,7.640322,0.107291,2383.179576,3.98812655785673
-c32,352.4661,123.468921,59.178279,104.457756,51.115816,100.738165,100.738165,49.948052,102.069715,543.5573,26.069312,206.54856,210.33129,1.204529,0.107291,2031.999251,4.67737460315754
-c33,450.60246,123.468921,59.178279,104.457756,333.7788,100.738165,590.3019,49.948052,857.91333,102.069715,344.11179,344.22248,26.069312,1.204529,0.107291,3488.17278,2.72475662330131
-c34,450.60246,123.468921,59.178279,104.457756,51.115816,100.738165,100.738165,49.948052,102.069715,543.5573,26.069312,344.22248,216.53911,1.204529,0.107291,2274.017351,4.179573095985
-c35,450.60246,123.468921,59.178279,104.457756,51.115816,100.738165,100.738165,49.948052,102.069715,543.5573,346.89143,26.069312,26.069312,1.204529,0.107291,2086.216503,4.5558175236131
-c36,450.60246,123.468921,59.178279,104.457756,51.115816,100.738165,100.738165,290.68457,102.069715,102.069715,208.37216,206.54856,26.069312,1.204529,0.107291,1927.425414,4.93114887655264
-c37,352.4661,1720.485,59.178279,652.9992,579.4048,572.2717,100.738165,49.948052,857.91333,102.069715,208.37216,26.069312,26.069312,7.640322,0.107291,5315.732738,1.78797965354029
-c38,450.60246,123.468921,59.178279,104.457756,51.115816,100.738165,100.738165,290.68457,102.069715,102.069715,208.37216,206.54856,26.069312,7.640322,0.107291,1933.861207,4.91473826152725
-c39,352.4661,123.468921,701.7255,104.457756,51.115816,925.6073,100.738165,290.68457,102.069715,102.069715,26.069312,26.069312,26.069312,1.204529,0.107291,2933.923314,3.23949224872303
-c40,450.60246,123.468921,59.178279,104.457756,333.7788,946.4727,618.5072,49.948052,102.069715,543.5573,26.069312,26.069312,26.069312,1.204529,0.107291,3411.560939,2.78594521667592
-c41,450.60246,123.468921,701.7255,104.457756,51.115816,544.1687,992.1159,49.948052,102.069715,102.069715,26.069312,26.069312,26.069312,1.204529,0.107291,3301.262291,2.8790265759884
-c42,450.60246,123.468921,426.5549,104.457756,51.115816,100.738165,100.738165,49.948052,857.91333,102.069715,344.11179,26.069312,26.069312,1.204529,0.107291,2765.169514,3.43719318694929
-c43,450.60246,123.468921,701.7255,104.457756,51.115816,544.1687,100.738165,49.948052,102.069715,102.069715,26.069312,206.54856,26.069312,1.204529,1.669613,2591.926126,3.66693390523994
-c44,450.60246,123.468921,59.178279,1159.5933,558.563,100.738165,100.738165,49.948052,102.069715,883.36663,215.17144,26.069312,210.33129,1.204529,1.669613,4042.712871,2.35100098032658
-c45,450.60246,123.468921,426.5549,104.457756,51.115816,100.738165,590.3019,49.948052,102.069715,102.069715,26.069312,206.54856,26.069312,1.204529,0.107291,2361.326404,4.02503514101072
-c46,450.60246,123.468921,426.5549,104.457756,51.115816,100.738165,100.738165,49.948052,102.069715,102.069715,344.11179,26.069312,351.94343,1.204529,1.669613,2336.762339,4.06734634183325
-c47,352.4661,123.468921,426.5549,104.457756,51.115816,100.738165,971.2723,49.948052,102.069715,883.36663,26.069312,26.069312,210.33129,1.204529,1.04789,3430.180688,2.77082251502599
-c48,450.60246,123.468921,701.7255,104.457756,51.115816,100.738165,971.2723,49.948052,102.069715,102.069715,26.069312,206.54856,26.069312,7.640322,1.669613,3025.465519,3.14147419105079
-c49,450.60246,123.468921,426.5549,104.457756,558.563,572.2717,100.738165,490.07014,857.91333,102.069715,26.069312,26.069312,210.33129,1.204529,0.107291,4050.491821,2.34648589439811
-c50,352.4661,123.468921,701.7255,104.457756,558.563,572.2717,100.738165,49.948052,527.54432,893.91043,215.17144,26.069312,26.069312,1.204529,1.669613,4255.27815,2.23356067444003
-c51,450.60246,123.468921,59.178279,652.9992,333.7788,544.1687,100.738165,290.68457,102.069715,102.069715,208.37216,26.069312,26.069312,1.204529,1.04789,3022.521728,3.14453383593562
-c12,1506.209648
-
-Unpatch Energy
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diff --git a/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_results1.csv b/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_results1.csv
deleted file mode 100644
index fa38a02ff27be3de0da8d5ce5598fcea3f304bb2..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_results1.csv
+++ /dev/null
@@ -1,209 +0,0 @@
-Compute Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,1108.984,7471.505,3792.343,6973.454,3475.891,6007.756,6530.41,3324.8076,6053.9348,6493.6098,2479.9481,2376.5679,2353.8847,69.37799,1.812953,58514.286843,0.999999998291016
-c1,1108.984,174.570537,87.285268,6973.454,3475.891,157.113483,157.113483,1683.0934,157.113483,157.113483,1299.926,1273.3007,39.466907,69.37799,1.812953,16815.616687,3.47975858299987
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-c5,1108.984,174.570537,87.285268,6973.454,1731.6018,157.113483,157.113483,1683.0934,157.113483,157.113483,1299.926,1273.3007,39.466907,69.37799,1.812953,15071.327487,3.88249054406278
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-c8,1108.984,174.570537,87.285268,6973.454,3475.891,157.113483,157.113483,1683.0934,157.113483,157.113483,1299.926,1273.3007,39.466907,69.37799,1.812953,16815.616687,3.47975858299987
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-c12,1108.984,174.570537,87.285268,157.113483,3475.891,3053.2545,157.113483,1683.0934,157.113483,157.113483,1299.926,1273.3007,39.466907,69.37799,1.812953,12895.417187,4.53760320745796
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-c3,12895.417187
-
-Compute Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
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-Energy
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-c12,1108.984,472.88204,219.119355,375.615141,3475.891,3197.8545,352.195669,1683.0934,357.330128,357.330128,1299.926,1273.3007,89.882488,69.37799,1.812953,14334.595492,4.08203262292633
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-c3,14334.595492
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-Leakage Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
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-c6,0,188.762345,90.173220,157.595858,0,0,151.959867,0,153.127903,153.127903,0,0,38.454652,0,0,933.201748,0
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-c10,0,188.762345,90.173220,0,0,151.959867,151.959867,0,153.127903,153.127903,0,0,38.454652,0,0,927.565757,0
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-c13,0,188.762345,90.173220,0,0,151.959867,151.959867,0,153.127903,153.127903,0,0,38.454652,0,0,927.565757,0
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diff --git a/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_results2.csv b/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_results2.csv
deleted file mode 100644
index 03e64efef1e92da5898265ce6982aebb2ff9a7c7..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_results2.csv
+++ /dev/null
@@ -1,385 +0,0 @@
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-c12,1108.984,6358.145,38.681317,3356.913,78.556742,77.680494,69.626370,78.556742,157.113483,157.113483,17.490144,1273.3007,39.466907,57.16078,10.00372,12878.792882,4.54346047217176
-c13,1108.984,174.570537,38.681317,3356.913,78.556742,3053.2545,69.626370,78.556742,3203.344,69.626370,17.490144,1273.3007,39.466907,57.16078,10.00372,12629.535829,4.63313039940282
-c14,1108.984,6358.145,38.681317,3356.913,1731.6018,69.626370,69.626370,78.556742,157.113483,3427.0759,1299.926,19.513340,39.466907,57.16078,10.00372,17822.394729,3.2831887860428
-c15,1108.984,86.311660,1949.97,3356.913,78.556742,118.016247,157.113483,78.556742,3203.344,69.626370,17.490144,17.490144,1286.6509,57.16078,10.00372,11596.187932,5.04599327654297
-c16,1108.984,6358.145,43.155830,157.113483,34.813185,118.016247,3366.9575,78.556742,69.626370,157.113483,17.490144,17.490144,39.466907,57.16078,10.00372,11634.093535,5.02955268186648
-c17,1108.984,174.570537,1949.97,3356.913,78.556742,3053.2545,69.626370,78.556742,157.113483,69.626370,17.490144,1273.3007,29.645681,57.16078,10.00372,11484.772769,5.09494506425489
-c18,1108.984,174.570537,38.681317,3356.913,78.556742,118.016247,69.626370,78.556742,3203.344,69.626370,39.466907,17.490144,1286.6509,57.16078,10.00372,9707.647776,6.02764826149737
-c19,1108.984,86.311660,43.155830,3356.913,34.813185,118.016247,69.626370,78.556742,3203.344,69.626370,17.490144,17.490144,39.466907,57.16078,10.00372,8310.959099,7.04061774843518
-c20,1108.984,6358.145,87.285268,157.113483,78.556742,118.016247,157.113483,78.556742,3203.344,69.626370,17.490144,17.490144,39.466907,57.16078,10.00372,11558.35303,5.06251073875955
-c21,1108.984,174.570537,38.681317,3356.913,78.556742,3053.2545,3366.9575,78.556742,157.113483,69.626370,17.490144,1273.3007,39.466907,57.16078,10.00372,12880.636442,4.54281018272676
-c22,1108.984,6358.145,38.681317,3356.913,1731.6018,69.626370,69.626370,78.556742,157.113483,3427.0759,1299.926,19.513340,39.466907,57.16078,10.00372,17822.394729,3.2831887860428
-c23,1108.984,6358.145,87.285268,157.113483,78.556742,118.016247,157.113483,78.556742,3203.344,69.626370,17.490144,17.490144,39.466907,57.16078,10.00372,11558.35303,5.06251073875955
-c24,1108.984,6358.145,43.155830,3356.913,1731.6018,3053.2545,157.113483,1683.0934,157.113483,157.113483,1299.926,1273.3007,39.466907,57.16078,10.00372,20486.346086,2.8562578368898
-c25,1108.984,86.311660,1949.97,3356.913,78.556742,118.016247,157.113483,78.556742,3203.344,69.626370,17.490144,17.490144,1286.6509,57.16078,10.00372,11596.187932,5.04599327654297
-c26,1108.984,174.570537,1949.97,3356.913,78.556742,3053.2545,69.626370,78.556742,157.113483,69.626370,17.490144,1273.3007,29.645681,57.16078,10.00372,11484.772769,5.09494506425489
-c27,1108.984,6358.145,43.155830,157.113483,34.813185,118.016247,3366.9575,78.556742,69.626370,157.113483,17.490144,17.490144,39.466907,57.16078,10.00372,11634.093535,5.02955268186648
-c28,1108.984,6358.145,38.681317,3356.913,78.556742,69.626370,157.113483,1683.0934,157.113483,157.113483,1299.926,1273.3007,39.466907,57.16078,10.00372,15845.198385,3.69287181213874
-c29,1108.984,6358.145,38.681317,3356.913,78.556742,77.680494,69.626370,78.556742,157.113483,157.113483,17.490144,1273.3007,39.466907,57.16078,10.00372,12878.792882,4.54346047217176
-c30,1108.984,174.570537,38.681317,3356.913,78.556742,118.016247,69.626370,78.556742,3203.344,69.626370,39.466907,17.490144,1286.6509,57.16078,10.00372,9707.647776,6.02764826149737
-c19,8310.959099
-
-Compute Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,352.4661,1550.099,701.7255,1159.5933,558.563,925.6073,971.2723,490.07014,857.91333,883.36663,344.11179,344.22248,351.94343,12.419968,1.04789,9504.422158,0.999999989478582
-c1,352.4661,1610.85,426.5549,652.9992,41.518080,544.1687,82.574848,41.518080,83.036160,83.036160,208.37216,206.54856,21.220352,7.640322,1.669613,4364.173235,2.17782874978315
-c2,352.4661,90.532480,426.5549,652.9992,41.518080,82.574848,82.574848,41.518080,527.54432,83.036160,21.220352,21.220352,210.33129,7.640322,1.669613,2643.400945,3.59552788101436
-c3,352.4661,90.532480,45.439232,652.9992,41.518080,544.1687,82.574848,41.518080,527.54432,83.036160,21.220352,206.54856,21.220352,7.640322,1.669613,2720.096399,3.49414888828177
-c4,352.4661,1610.85,45.439232,652.9992,41.518080,82.574848,82.574848,41.518080,83.036160,83.036160,21.220352,206.54856,21.220352,7.640322,1.669613,3334.311907,2.850489737627
-c5,352.4661,1610.85,45.439232,82.574848,41.518080,82.574848,82.574848,41.518080,527.54432,83.036160,21.220352,21.220352,21.220352,7.640322,1.669613,3023.067507,3.1439661276487
-c6,352.4661,1610.85,45.439232,82.574848,41.518080,82.574848,590.3019,41.518080,83.036160,83.036160,21.220352,21.220352,21.220352,7.640322,1.669613,3086.286399,3.07956573736092
-c7,352.4661,1610.85,45.439232,652.9992,333.7788,82.574848,82.574848,41.518080,83.036160,543.5573,208.37216,21.220352,21.220352,7.640322,1.669613,4088.917367,2.32443482528233
-c8,352.4661,90.532480,426.5549,652.9992,41.518080,544.1687,82.574848,41.518080,83.036160,83.036160,21.220352,206.54856,21.220352,7.640322,1.669613,2656.703907,3.57752392925871
-c9,352.4661,1610.85,45.439232,652.9992,41.518080,82.574848,82.574848,290.68457,83.036160,83.036160,208.37216,206.54856,21.220352,7.640322,1.669613,3770.630205,2.52064545956594
-c10,352.4661,90.532480,45.439232,652.9992,41.518080,82.574848,82.574848,41.518080,527.54432,83.036160,21.220352,21.220352,210.33129,7.640322,1.669613,2262.285277,4.20124810717017
-c11,352.4661,1610.85,45.439232,652.9992,41.518080,82.574848,82.574848,290.68457,83.036160,83.036160,208.37216,206.54856,21.220352,7.640322,1.669613,3770.630205,2.52064545956594
-c12,352.4661,1610.85,45.439232,652.9992,41.518080,82.574848,82.574848,41.518080,83.036160,83.036160,21.220352,206.54856,21.220352,7.640322,1.669613,3334.311907,2.850489737627
-c13,352.4661,90.532480,45.439232,652.9992,41.518080,544.1687,82.574848,41.518080,527.54432,83.036160,21.220352,206.54856,21.220352,7.640322,1.669613,2720.096399,3.49414888828177
-c14,352.4661,1610.85,45.439232,652.9992,333.7788,82.574848,82.574848,41.518080,83.036160,543.5573,208.37216,21.220352,21.220352,7.640322,1.669613,4088.917367,2.32443482528233
-c15,352.4661,90.532480,426.5549,652.9992,41.518080,82.574848,82.574848,41.518080,527.54432,83.036160,21.220352,21.220352,210.33129,7.640322,1.669613,2643.400945,3.59552788101436
-c16,352.4661,1610.85,45.439232,82.574848,41.518080,82.574848,590.3019,41.518080,83.036160,83.036160,21.220352,21.220352,21.220352,7.640322,1.669613,3086.286399,3.07956573736092
-c17,352.4661,90.532480,426.5549,652.9992,41.518080,544.1687,82.574848,41.518080,83.036160,83.036160,21.220352,206.54856,21.220352,7.640322,1.669613,2656.703907,3.57752392925871
-c18,352.4661,90.532480,45.439232,652.9992,41.518080,82.574848,82.574848,41.518080,527.54432,83.036160,21.220352,21.220352,210.33129,7.640322,1.669613,2262.285277,4.20124810717017
-c19,352.4661,90.532480,45.439232,652.9992,41.518080,82.574848,82.574848,41.518080,527.54432,83.036160,21.220352,21.220352,21.220352,7.640322,1.669613,2073.174339,4.58447778402307
-c20,352.4661,1610.85,45.439232,82.574848,41.518080,82.574848,82.574848,41.518080,527.54432,83.036160,21.220352,21.220352,21.220352,7.640322,1.669613,3023.067507,3.1439661276487
-c21,352.4661,90.532480,45.439232,652.9992,41.518080,544.1687,590.3019,41.518080,83.036160,83.036160,21.220352,206.54856,21.220352,7.640322,1.669613,2783.315291,3.41478446486268
-c22,352.4661,1610.85,45.439232,652.9992,333.7788,82.574848,82.574848,41.518080,83.036160,543.5573,208.37216,21.220352,21.220352,7.640322,1.669613,4088.917367,2.32443482528233
-c23,352.4661,1610.85,45.439232,82.574848,41.518080,82.574848,82.574848,41.518080,527.54432,83.036160,21.220352,21.220352,21.220352,7.640322,1.669613,3023.067507,3.1439661276487
-c24,352.4661,1610.85,45.439232,652.9992,333.7788,544.1687,82.574848,290.68457,83.036160,83.036160,208.37216,206.54856,21.220352,7.640322,1.669613,4524.484777,2.1006639244868
-c25,352.4661,90.532480,426.5549,652.9992,41.518080,82.574848,82.574848,41.518080,527.54432,83.036160,21.220352,21.220352,210.33129,7.640322,1.669613,2643.400945,3.59552788101436
-c26,352.4661,90.532480,426.5549,652.9992,41.518080,544.1687,82.574848,41.518080,83.036160,83.036160,21.220352,206.54856,21.220352,7.640322,1.669613,2656.703907,3.57752392925871
-c27,352.4661,1610.85,45.439232,82.574848,41.518080,82.574848,590.3019,41.518080,83.036160,83.036160,21.220352,21.220352,21.220352,7.640322,1.669613,3086.286399,3.07956573736092
-c28,352.4661,1610.85,45.439232,652.9992,41.518080,82.574848,82.574848,290.68457,83.036160,83.036160,208.37216,206.54856,21.220352,7.640322,1.669613,3770.630205,2.52064545956594
-c29,352.4661,1610.85,45.439232,652.9992,41.518080,82.574848,82.574848,41.518080,83.036160,83.036160,21.220352,206.54856,21.220352,7.640322,1.669613,3334.311907,2.850489737627
-c30,352.4661,90.532480,45.439232,652.9992,41.518080,82.574848,82.574848,41.518080,527.54432,83.036160,21.220352,21.220352,210.33129,7.640322,1.669613,2262.285277,4.20124810717017
-c19,2073.174339
-
-Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,1108.984,7471.505,3792.343,6973.454,3475.891,6007.756,6530.41,3324.8076,6053.9348,6493.6098,2479.9481,2376.5679,2353.8847,69.37799,1.812953,58514.286843,0.999999998291016
-c1,1108.984,6756.043,1949.97,3356.913,179.180675,3053.2545,264.708556,171.815177,357.330128,269.843015,1299.926,1273.3007,89.882488,57.16078,10.00372,20198.315739,2.89698840781653
-c2,1108.984,384.623163,1949.97,3356.913,179.180675,313.098433,352.195669,171.815177,3203.344,269.843015,67.905725,67.905725,1286.6509,57.16078,10.00372,12779.593982,4.57872812450413
-c3,1108.984,472.88204,170.515404,3356.913,179.180675,3053.2545,264.708556,171.815177,3203.344,269.843015,67.905725,1273.3007,89.882488,57.16078,10.00372,13749.69378,4.25567924302035
-c4,1108.984,6756.043,170.515404,3356.913,179.180675,272.76268,264.708556,171.815177,357.330128,357.330128,67.905725,1273.3007,89.882488,57.16078,10.00372,14493.836161,4.03718420639608
-c5,1108.984,6756.043,219.119355,375.615141,179.180675,313.098433,352.195669,171.815177,3203.344,269.843015,67.905725,67.905725,89.882488,57.16078,10.00372,13242.096903,4.41880820158194
-c6,1108.984,6756.043,174.989917,375.615141,135.437118,313.098433,3366.9575,171.815177,269.843015,357.330128,67.905725,67.905725,89.882488,57.16078,10.00372,13322.971867,4.39198453527753
-c7,1108.984,6756.043,170.515404,3356.913,1731.6018,264.708556,264.708556,171.815177,357.330128,3427.0759,1299.926,69.928921,89.882488,57.16078,10.00372,19136.59743,3.05771633391299
-c8,1108.984,472.88204,1949.97,3356.913,179.180675,3053.2545,264.708556,171.815177,357.330128,269.843015,67.905725,1273.3007,80.061262,57.16078,10.00372,12673.313278,4.61712616880261
-c9,1108.984,6756.043,170.515404,3356.913,179.180675,264.708556,352.195669,1683.0934,357.330128,357.330128,1299.926,1273.3007,89.882488,57.16078,10.00372,17316.567648,3.37909265245465
-c10,1108.984,472.88204,170.515404,3356.913,179.180675,313.098433,264.708556,171.815177,3203.344,269.843015,89.882488,67.905725,1286.6509,57.16078,10.00372,11022.887913,5.30843520990056
-c11,1108.984,6756.043,170.515404,3356.913,179.180675,264.708556,352.195669,1683.0934,357.330128,357.330128,1299.926,1273.3007,89.882488,57.16078,10.00372,17316.567648,3.37909265245465
-c12,1108.984,6756.043,170.515404,3356.913,179.180675,272.76268,264.708556,171.815177,357.330128,357.330128,67.905725,1273.3007,89.882488,57.16078,10.00372,14493.836161,4.03718420639608
-c13,1108.984,472.88204,170.515404,3356.913,179.180675,3053.2545,264.708556,171.815177,3203.344,269.843015,67.905725,1273.3007,89.882488,57.16078,10.00372,13749.69378,4.25567924302035
-c14,1108.984,6756.043,170.515404,3356.913,1731.6018,264.708556,264.708556,171.815177,357.330128,3427.0759,1299.926,69.928921,89.882488,57.16078,10.00372,19136.59743,3.05771633391299
-c15,1108.984,384.623163,1949.97,3356.913,179.180675,313.098433,352.195669,171.815177,3203.344,269.843015,67.905725,67.905725,1286.6509,57.16078,10.00372,12779.593982,4.57872812450413
-c16,1108.984,6756.043,174.989917,375.615141,135.437118,313.098433,3366.9575,171.815177,269.843015,357.330128,67.905725,67.905725,89.882488,57.16078,10.00372,13322.971867,4.39198453527753
-c17,1108.984,472.88204,1949.97,3356.913,179.180675,3053.2545,264.708556,171.815177,357.330128,269.843015,67.905725,1273.3007,80.061262,57.16078,10.00372,12673.313278,4.61712616880261
-c18,1108.984,472.88204,170.515404,3356.913,179.180675,313.098433,264.708556,171.815177,3203.344,269.843015,89.882488,67.905725,1286.6509,57.16078,10.00372,11022.887913,5.30843520990056
-c19,1108.984,384.623163,174.989917,3356.913,135.437118,313.098433,264.708556,171.815177,3203.344,269.843015,67.905725,67.905725,89.882488,57.16078,10.00372,9676.614817,6.04697896370779
-c20,1108.984,6756.043,219.119355,375.615141,179.180675,313.098433,352.195669,171.815177,3203.344,269.843015,67.905725,67.905725,89.882488,57.16078,10.00372,13242.096903,4.41880820158194
-c21,1108.984,472.88204,170.515404,3356.913,179.180675,3053.2545,3366.9575,171.815177,357.330128,269.843015,67.905725,1273.3007,89.882488,57.16078,10.00372,14005.928852,4.17782262379993
-c22,1108.984,6756.043,170.515404,3356.913,1731.6018,264.708556,264.708556,171.815177,357.330128,3427.0759,1299.926,69.928921,89.882488,57.16078,10.00372,19136.59743,3.05771633391299
-c23,1108.984,6756.043,219.119355,375.615141,179.180675,313.098433,352.195669,171.815177,3203.344,269.843015,67.905725,67.905725,89.882488,57.16078,10.00372,13242.096903,4.41880820158194
-c24,1108.984,6756.043,174.989917,3356.913,1731.6018,3053.2545,352.195669,1683.0934,357.330128,357.330128,1299.926,1273.3007,89.882488,57.16078,10.00372,21662.00923,2.70124003510435
-c25,1108.984,384.623163,1949.97,3356.913,179.180675,313.098433,352.195669,171.815177,3203.344,269.843015,67.905725,67.905725,1286.6509,57.16078,10.00372,12779.593982,4.57872812450413
-c26,1108.984,472.88204,1949.97,3356.913,179.180675,3053.2545,264.708556,171.815177,357.330128,269.843015,67.905725,1273.3007,80.061262,57.16078,10.00372,12673.313278,4.61712616880261
-c27,1108.984,6756.043,174.989917,375.615141,135.437118,313.098433,3366.9575,171.815177,269.843015,357.330128,67.905725,67.905725,89.882488,57.16078,10.00372,13322.971867,4.39198453527753
-c28,1108.984,6756.043,170.515404,3356.913,179.180675,264.708556,352.195669,1683.0934,357.330128,357.330128,1299.926,1273.3007,89.882488,57.16078,10.00372,17316.567648,3.37909265245465
-c29,1108.984,6756.043,170.515404,3356.913,179.180675,272.76268,264.708556,171.815177,357.330128,357.330128,67.905725,1273.3007,89.882488,57.16078,10.00372,14493.836161,4.03718420639608
-c30,1108.984,472.88204,170.515404,3356.913,179.180675,313.098433,264.708556,171.815177,3203.344,269.843015,89.882488,67.905725,1286.6509,57.16078,10.00372,11022.887913,5.30843520990056
-c19,9676.614817
-
-Leakage Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,76.708720,0,151.959867,74.930729,153.127903,153.127903,0,0,38.454652,0,0,648.309774,0
-c2,0,188.762345,0,0,76.708720,151.959867,151.959867,74.930729,0,153.127903,38.454652,38.454652,0,0,0,874.358735,0
-c3,0,188.762345,90.173220,0,76.708720,0,151.959867,74.930729,0,153.127903,38.454652,0,38.454652,0,0,812.572088,0
-c4,0,0,90.173220,0,76.708720,151.959867,151.959867,74.930729,153.127903,153.127903,38.454652,0,38.454652,0,0,928.897513,0
-c5,0,0,90.173220,157.595858,76.708720,151.959867,151.959867,74.930729,0,153.127903,38.454652,38.454652,38.454652,0,0,971.82012,0
-c6,0,0,90.173220,157.595858,76.708720,151.959867,0,74.930729,153.127903,153.127903,38.454652,38.454652,38.454652,0,0,972.988156,0
-c7,0,0,90.173220,0,0,151.959867,151.959867,74.930729,153.127903,0,0,38.454652,38.454652,0,0,699.06089,0
-c8,0,188.762345,0,0,76.708720,0,151.959867,74.930729,153.127903,153.127903,38.454652,0,38.454652,0,0,875.526771,0
-c9,0,0,90.173220,0,76.708720,151.959867,151.959867,0,153.127903,153.127903,0,0,38.454652,0,0,815.512132,0
-c10,0,188.762345,90.173220,0,76.708720,151.959867,151.959867,74.930729,0,153.127903,38.454652,38.454652,0,0,0,964.531955,0
-c11,0,0,90.173220,0,76.708720,151.959867,151.959867,0,153.127903,153.127903,0,0,38.454652,0,0,815.512132,0
-c12,0,0,90.173220,0,76.708720,151.959867,151.959867,74.930729,153.127903,153.127903,38.454652,0,38.454652,0,0,928.897513,0
-c13,0,188.762345,90.173220,0,76.708720,0,151.959867,74.930729,0,153.127903,38.454652,0,38.454652,0,0,812.572088,0
-c14,0,0,90.173220,0,0,151.959867,151.959867,74.930729,153.127903,0,0,38.454652,38.454652,0,0,699.06089,0
-c15,0,188.762345,0,0,76.708720,151.959867,151.959867,74.930729,0,153.127903,38.454652,38.454652,0,0,0,874.358735,0
-c16,0,0,90.173220,157.595858,76.708720,151.959867,0,74.930729,153.127903,153.127903,38.454652,38.454652,38.454652,0,0,972.988156,0
-c17,0,188.762345,0,0,76.708720,0,151.959867,74.930729,153.127903,153.127903,38.454652,0,38.454652,0,0,875.526771,0
-c18,0,188.762345,90.173220,0,76.708720,151.959867,151.959867,74.930729,0,153.127903,38.454652,38.454652,0,0,0,964.531955,0
-c19,0,188.762345,90.173220,0,76.708720,151.959867,151.959867,74.930729,0,153.127903,38.454652,38.454652,38.454652,0,0,1002.986607,0
-c20,0,0,90.173220,157.595858,76.708720,151.959867,151.959867,74.930729,0,153.127903,38.454652,38.454652,38.454652,0,0,971.82012,0
-c21,0,188.762345,90.173220,0,76.708720,0,0,74.930729,153.127903,153.127903,38.454652,0,38.454652,0,0,813.740124,0
-c22,0,0,90.173220,0,0,151.959867,151.959867,74.930729,153.127903,0,0,38.454652,38.454652,0,0,699.06089,0
-c23,0,0,90.173220,157.595858,76.708720,151.959867,151.959867,74.930729,0,153.127903,38.454652,38.454652,38.454652,0,0,971.82012,0
-c24,0,0,90.173220,0,0,0,151.959867,0,153.127903,153.127903,0,0,38.454652,0,0,586.843545,0
-c25,0,188.762345,0,0,76.708720,151.959867,151.959867,74.930729,0,153.127903,38.454652,38.454652,0,0,0,874.358735,0
-c26,0,188.762345,0,0,76.708720,0,151.959867,74.930729,153.127903,153.127903,38.454652,0,38.454652,0,0,875.526771,0
-c27,0,0,90.173220,157.595858,76.708720,151.959867,0,74.930729,153.127903,153.127903,38.454652,38.454652,38.454652,0,0,972.988156,0
-c28,0,0,90.173220,0,76.708720,151.959867,151.959867,0,153.127903,153.127903,0,0,38.454652,0,0,815.512132,0
-c29,0,0,90.173220,0,76.708720,151.959867,151.959867,74.930729,153.127903,153.127903,38.454652,0,38.454652,0,0,928.897513,0
-c30,0,188.762345,90.173220,0,76.708720,151.959867,151.959867,74.930729,0,153.127903,38.454652,38.454652,0,0,0,964.531955,0
-c0,0
-
-Memory Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,23.915213,0,43.122319,18.327706,47.088742,47.088742,0,0,11.960929,0,0,191.503651,0
-c2,0,109.549158,0,0,23.915213,43.122319,43.122319,18.327706,0,47.088742,11.960929,11.960929,0,0,0,309.047315,0
-c3,0,109.549158,41.660867,0,23.915213,0,43.122319,18.327706,0,47.088742,11.960929,0,11.960929,0,0,307.585863,0
-c4,0,0,41.660867,0,23.915213,43.122319,43.122319,18.327706,47.088742,47.088742,11.960929,0,11.960929,0,0,288.247766,0
-c5,0,0,41.660867,60.905800,23.915213,43.122319,43.122319,18.327706,0,47.088742,11.960929,11.960929,11.960929,0,0,314.025753,0
-c6,0,0,41.660867,60.905800,23.915213,43.122319,0,18.327706,47.088742,47.088742,11.960929,11.960929,11.960929,0,0,317.992176,0
-c7,0,0,41.660867,0,0,43.122319,43.122319,18.327706,47.088742,0,0,11.960929,11.960929,0,0,217.243811,0
-c8,0,109.549158,0,0,23.915213,0,43.122319,18.327706,47.088742,47.088742,11.960929,0,11.960929,0,0,313.013738,0
-c9,0,0,41.660867,0,23.915213,43.122319,43.122319,0,47.088742,47.088742,0,0,11.960929,0,0,257.959131,0
-c10,0,109.549158,41.660867,0,23.915213,43.122319,43.122319,18.327706,0,47.088742,11.960929,11.960929,0,0,0,350.708182,0
-c11,0,0,41.660867,0,23.915213,43.122319,43.122319,0,47.088742,47.088742,0,0,11.960929,0,0,257.959131,0
-c12,0,0,41.660867,0,23.915213,43.122319,43.122319,18.327706,47.088742,47.088742,11.960929,0,11.960929,0,0,288.247766,0
-c13,0,109.549158,41.660867,0,23.915213,0,43.122319,18.327706,0,47.088742,11.960929,0,11.960929,0,0,307.585863,0
-c14,0,0,41.660867,0,0,43.122319,43.122319,18.327706,47.088742,0,0,11.960929,11.960929,0,0,217.243811,0
-c15,0,109.549158,0,0,23.915213,43.122319,43.122319,18.327706,0,47.088742,11.960929,11.960929,0,0,0,309.047315,0
-c16,0,0,41.660867,60.905800,23.915213,43.122319,0,18.327706,47.088742,47.088742,11.960929,11.960929,11.960929,0,0,317.992176,0
-c17,0,109.549158,0,0,23.915213,0,43.122319,18.327706,47.088742,47.088742,11.960929,0,11.960929,0,0,313.013738,0
-c18,0,109.549158,41.660867,0,23.915213,43.122319,43.122319,18.327706,0,47.088742,11.960929,11.960929,0,0,0,350.708182,0
-c19,0,109.549158,41.660867,0,23.915213,43.122319,43.122319,18.327706,0,47.088742,11.960929,11.960929,11.960929,0,0,362.669111,0
-c20,0,0,41.660867,60.905800,23.915213,43.122319,43.122319,18.327706,0,47.088742,11.960929,11.960929,11.960929,0,0,314.025753,0
-c21,0,109.549158,41.660867,0,23.915213,0,0,18.327706,47.088742,47.088742,11.960929,0,11.960929,0,0,311.552286,0
-c22,0,0,41.660867,0,0,43.122319,43.122319,18.327706,47.088742,0,0,11.960929,11.960929,0,0,217.243811,0
-c23,0,0,41.660867,60.905800,23.915213,43.122319,43.122319,18.327706,0,47.088742,11.960929,11.960929,11.960929,0,0,314.025753,0
-c24,0,0,41.660867,0,0,0,43.122319,0,47.088742,47.088742,0,0,11.960929,0,0,190.921599,0
-c25,0,109.549158,0,0,23.915213,43.122319,43.122319,18.327706,0,47.088742,11.960929,11.960929,0,0,0,309.047315,0
-c26,0,109.549158,0,0,23.915213,0,43.122319,18.327706,47.088742,47.088742,11.960929,0,11.960929,0,0,313.013738,0
-c27,0,0,41.660867,60.905800,23.915213,43.122319,0,18.327706,47.088742,47.088742,11.960929,11.960929,11.960929,0,0,317.992176,0
-c28,0,0,41.660867,0,23.915213,43.122319,43.122319,0,47.088742,47.088742,0,0,11.960929,0,0,257.959131,0
-c29,0,0,41.660867,0,23.915213,43.122319,43.122319,18.327706,47.088742,47.088742,11.960929,0,11.960929,0,0,288.247766,0
-c30,0,109.549158,41.660867,0,23.915213,43.122319,43.122319,18.327706,0,47.088742,11.960929,11.960929,0,0,0,350.708182,0
-c0,0
-
-Memory Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,9.597736,0,18.163317,8.429972,19.033555,19.033555,0,0,4.848960,0,0,79.107095,0
-c2,0,32.936441,0,0,9.597736,18.163317,18.163317,8.429972,0,19.033555,4.848960,4.848960,0,0,0,116.022258,0
-c3,0,32.936441,13.739047,0,9.597736,0,18.163317,8.429972,0,19.033555,4.848960,0,4.848960,0,0,111.597988,0
-c4,0,0,13.739047,0,9.597736,18.163317,18.163317,8.429972,19.033555,19.033555,4.848960,0,4.848960,0,0,115.858419,0
-c5,0,0,13.739047,21.882908,9.597736,18.163317,18.163317,8.429972,0,19.033555,4.848960,4.848960,4.848960,0,0,123.556732,0
-c6,0,0,13.739047,21.882908,9.597736,18.163317,0,8.429972,19.033555,19.033555,4.848960,4.848960,4.848960,0,0,124.42697,0
-c7,0,0,13.739047,0,0,18.163317,18.163317,8.429972,19.033555,0,0,4.848960,4.848960,0,0,87.227128,0
-c8,0,32.936441,0,0,9.597736,0,18.163317,8.429972,19.033555,19.033555,4.848960,0,4.848960,0,0,116.892496,0
-c9,0,0,13.739047,0,9.597736,18.163317,18.163317,0,19.033555,19.033555,0,0,4.848960,0,0,102.579487,0
-c10,0,32.936441,13.739047,0,9.597736,18.163317,18.163317,8.429972,0,19.033555,4.848960,4.848960,0,0,0,129.761305,0
-c11,0,0,13.739047,0,9.597736,18.163317,18.163317,0,19.033555,19.033555,0,0,4.848960,0,0,102.579487,0
-c12,0,0,13.739047,0,9.597736,18.163317,18.163317,8.429972,19.033555,19.033555,4.848960,0,4.848960,0,0,115.858419,0
-c13,0,32.936441,13.739047,0,9.597736,0,18.163317,8.429972,0,19.033555,4.848960,0,4.848960,0,0,111.597988,0
-c14,0,0,13.739047,0,0,18.163317,18.163317,8.429972,19.033555,0,0,4.848960,4.848960,0,0,87.227128,0
-c15,0,32.936441,0,0,9.597736,18.163317,18.163317,8.429972,0,19.033555,4.848960,4.848960,0,0,0,116.022258,0
-c16,0,0,13.739047,21.882908,9.597736,18.163317,0,8.429972,19.033555,19.033555,4.848960,4.848960,4.848960,0,0,124.42697,0
-c17,0,32.936441,0,0,9.597736,0,18.163317,8.429972,19.033555,19.033555,4.848960,0,4.848960,0,0,116.892496,0
-c18,0,32.936441,13.739047,0,9.597736,18.163317,18.163317,8.429972,0,19.033555,4.848960,4.848960,0,0,0,129.761305,0
-c19,0,32.936441,13.739047,0,9.597736,18.163317,18.163317,8.429972,0,19.033555,4.848960,4.848960,4.848960,0,0,134.610265,0
-c20,0,0,13.739047,21.882908,9.597736,18.163317,18.163317,8.429972,0,19.033555,4.848960,4.848960,4.848960,0,0,123.556732,0
-c21,0,32.936441,13.739047,0,9.597736,0,0,8.429972,19.033555,19.033555,4.848960,0,4.848960,0,0,112.468226,0
-c22,0,0,13.739047,0,0,18.163317,18.163317,8.429972,19.033555,0,0,4.848960,4.848960,0,0,87.227128,0
-c23,0,0,13.739047,21.882908,9.597736,18.163317,18.163317,8.429972,0,19.033555,4.848960,4.848960,4.848960,0,0,123.556732,0
-c24,0,0,13.739047,0,0,0,18.163317,0,19.033555,19.033555,0,0,4.848960,0,0,74.818434,0
-c25,0,32.936441,0,0,9.597736,18.163317,18.163317,8.429972,0,19.033555,4.848960,4.848960,0,0,0,116.022258,0
-c26,0,32.936441,0,0,9.597736,0,18.163317,8.429972,19.033555,19.033555,4.848960,0,4.848960,0,0,116.892496,0
-c27,0,0,13.739047,21.882908,9.597736,18.163317,0,8.429972,19.033555,19.033555,4.848960,4.848960,4.848960,0,0,124.42697,0
-c28,0,0,13.739047,0,9.597736,18.163317,18.163317,0,19.033555,19.033555,0,0,4.848960,0,0,102.579487,0
-c29,0,0,13.739047,0,9.597736,18.163317,18.163317,8.429972,19.033555,19.033555,4.848960,0,4.848960,0,0,115.858419,0
-c30,0,32.936441,13.739047,0,9.597736,18.163317,18.163317,8.429972,0,19.033555,4.848960,4.848960,0,0,0,129.761305,0
-c0,0
-
-Patch Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
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diff --git a/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_tensors.txt b/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_tensors.txt
deleted file mode 100644
index 6c6b42b93c0446c298489429261592fe99e2f81b..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/vgg16_cifar10/vgg16_tensors.txt
+++ /dev/null
@@ -1,64 +0,0 @@
-#Conv1,3
-Conv1,163.415,464.69,310.228,694.841,7.62006,16.0868,83.4767,247.452
-Add1,113.913,376.561,69.7114,211.862,314.261,894.668,83.2799,265.625
-Relu1,75.1381,267.733,63.043,222.775,116.511,379.888,83.4086,300.518
-#Conv2,4
-Conv2,1186.37,5295.79,1399.51,5412.29,109.635,397.898,83.3307,436.945
-Add2,114.041,707.602,69.1905,303.338,336.556,1525.29,83.1178,365.325
-Relu2,74.295,455.493,62.4233,282.215,106.67,463.637,83.0734,372.529
-Pool1,175.393,1012.62,79.7262,360.302,106.496,467.712,20.9488,92.2916
-#Conv3,3
-Conv3,613.82,3267.16,354.47,1585.56,28.5399,124.01,41.6322,203.92
-Add3,51.2818,306.368,40.9358,206.435,52.9835,255.846,41.6412,204.32
-Relu3,36.6237,218.815,31.1491,157.975,53.9219,262.044,41.4745,201.753
-#Conv4,4
-Conv4,982.846,5808.36,543.421,2780.23,52.8973,253.818,41.5238,236.022
-Add4,51.329,344.524,37.6205,200.601,146.069,779.141,41.3499,213.133
-Relu4,36.7139,244.573,31.1126,165.225,52.5946,268.222,41.3761,210.186
-Pool2,88.7044,575.997,40.8451,210.857,52.6109,263.231,10.5892,50.2118
-#Conv5,3
-Conv5,491.91,3047.42,278.988,1427.88,14.8008,70.9043,20.8418,110.25
-Add5,48.2779,312.538,39.1711,216.321,27.4739,144.775,20.8433,109.029
-Relu5,18.3751,115.933,15.6197,87.4008,27.1876,142.132,20.7564,107.244
-#Conv6,3
-Conv6,858.952,5554.16,490.314,2738.69,28.103,144.6,20.8654,122.714
-Add6,48.3038,331.31,38.2773,222.684,78.3804,453.985,20.7551,113.98
-Relu6,18.3515,122.286,15.5774,91.8805,26.9604,148.182,20.7925,111.946
-#Conv7,4
-Conv7,859.425,5760.38,514.632,2922.64,28.2053,152.501,20.8436,124.457
-Add7,48.1751,337.048,38.3104,225.263,81.46,477.128,20.7616,115.225
-Relu7,18.3889,125.084,15.5863,93.2475,27.0202,149.73,20.7296,113.484
-Pool3,45.2833,307.898,21.7732,125.807,27.105,148.004,5.37692,25.667
-#Conv8,3
-Conv8,434.046,2940.43,240.716,1378.49,9.68469,49.5859,10.5597,59.0058
-Add8,46.6813,323.76,42.0846,253.744,14.6636,82.9186,10.5141,57.5583
-Relu8,9.34284,60.6176,7.88397,50.8594,14.4739,80.2487,10.4677,57.0219
-#Conv9,3
-Conv9,801.893,5651.89,477.878,2885.71,16.2347,90.1067,10.5851,63.9065
-Add9,46.6775,338.552,41.8259,265.047,39.8499,247.783,10.4589,60.1816
-Relu9,9.34283,63.4928,7.84042,52.587,14.2726,83.3662,10.4563,59.3499
-#Conv10,4
-Conv10,802.661,5895.34,481.652,3018.22,16.267,94.4725,10.5438,65.7062
-Add10,46.7852,353.064,41.8232,272.933,40.0563,257.396,10.5152,61.7303
-Relu10,9.31493,65.6928,7.8553,54.9037,14.2674,85.1708,10.4698,61.6665
-Pool4,24.6055,179.513,12.2268,81.0192,14.3183,85.3146,2.76689,12.3171
-#Conv11,3
-Conv11,308.859,2238.17,173.774,1077.96,6.79928,37.3658,2.77964,12.8278
-Add11,32.7593,228.974,32.499,205.175,4.84751,25.3885,2.71712,12.3719
-Relu11,2.49349,12.8041,2.09916,16.791,4.48398,23.4935,2.65339,11.6345
-#Conv12,3
-Conv12,308.957,2143.29,172.103,1054.21,6.35668,34.3,2.76929,12.2454
-Add12,32.7648,220.92,32.3458,201.907,4.88662,25.364,2.69777,11.7633
-Relu12,2.50068,12.3579,2.09976,17.1837,4.44727,22.6715,2.64916,11.3108
-#Conv13,4
-Conv13,308.526,2076.4,171.684,1041.08,6.20782,33.1375,2.76826,12.0417
-Add13,32.723,215.055,32.2976,199.983,4.91853,25.4026,2.71496,12.0093
-Relu13,2.48762,12.2284,2.10382,16.7344,4.36041,22.0096,2.72796,11.4339
-Pool5,8.20681,50.2013,4.24587,28.8535,4.30952,21.6535,0.789328,1.12606
-#FC1,3
-Mul1,10.6715,65.8927,5.49296,37.0659,2.18449,8.22985,0.810781,1.37103
-Add14,0.902452,1.91287,0.999932,9.47008,1.88605,7.19323,0.760782,0.960605
-Relu14,0.846016,1.57242,1.14743,10.6248,1.5964,5.26066,0.762322,0.9319
-#FC2,2
-Mul2,0.821147,1.66598,1.31517,8.1931,1.76803,6.49192,0.133188,0.0183427
-Add15,0.226743,0.146973,0.354443,1.81062,0.764484,1.36953,0.120211,0.0438951
diff --git a/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_confs1.txt b/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_confs1.txt
deleted file mode 100644
index 2c88b81aaa9620b01f75897e5e082dd78c1d3d57..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_confs1.txt
+++ /dev/null
@@ -1,13 +0,0 @@
-9 9 9,9 9 9 9,9 9 9,9 9 9 9,9 9 9,9 9 9,9 9 9 9,9 9 9,9 9 9,9 9 9 9,9 9 9,9 9 9,9 9 9 9,9 9 9,9 9
-9 9 9,8 8 8 8,8 8 8,8 8 8 8,8 8 8,8 8 8,8 8 8 8,8 8 8,8 8 8,8 8 8 8,8 8 8,8 8 8,8 8 8 8,8 8 8,8 8
-9 9 9,8 8 8 8,8 8 8,8 8 8 8,8 8 8,7,7,7,8 8 8,8 8 8 8,7,7,8 8 8 8,8 8 8,8 8
-9 9 9,8 8 8 8,8 8 8,8 8 8 8,8 8 8,8 8 8,8 8 8 8,8 8 8,8 8 8,7,8 8 8,7,8 8 8 8,8 8 8,8 8
-9 9 9,8 8 8 8,8 8 8,8 8 8 8,8 8 8,8 8 8,8 8 8 8,8 8 8,8 8 8,7,8 8 8,7,8 8 8 8,8 8 8,8 8
-9 9 9,8 8 8 8,8 8 8,8 8 8 8,8 8 8,8 8 8,8 8 8 8,8 8 8,8 8 8,8 8 8 8,8 8 8,8 8 8,8 8 8 8,8 8 8,8 8
-9 9 9,8 8 8 8,8 8 8,8 8 8 8,8 8 8,7,7,7,8 8 8,8 8 8 8,7,7,8 8 8 8,8 8 8,8 8
-9 9 9,8 8 8 8,8 8 8,8 8 8 8,8 8 8,8 8 8,8 8 8 8,8 8 8,8 8 8,7,8 8 8,7,8 8 8 8,8 8 8,8 8
-9 9 9,8 8 8 8,8 8 8,8 8 8 8,8 8 8,8 8 8,8 8 8 8,8 8 8,8 8 8,7,8 8 8,7,8 8 8 8,8 8 8,8 8
-9 9 9,8 8 8 8,8 8 8,8 8 8 8,8 8 8,8 8 8,8 8 8 8,8 8 8,8 8 8,8 8 8 8,8 8 8,8 8 8,8 8 8 8,8 8 8,8 8
-9 9 9,8 8 8 8,8 8 8,8 8 8 8,8 8 8,8 8 8,8 8 8 8,8 8 8,8 8 8,7,8 8 8,7,8 8 8 8,8 8 8,8 8
-9 9 9,8 8 8 8,8 8 8,8 8 8 8,8 8 8,7,7,7,8 8 8,8 8 8 8,7,7,8 8 8 8,8 8 8,8 8
-9 9 9,8 8 8 8,8 8 8,8 8 8 8,8 8 8,8 8 8,8 8 8 8,8 8 8,8 8 8,7,8 8 8,7,8 8 8 8,8 8 8,8 8
diff --git a/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_confs2.txt b/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_confs2.txt
deleted file mode 100644
index 8dacc6e3fe910098503d504feece0b5ecd1753dc..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_confs2.txt
+++ /dev/null
@@ -1,13 +0,0 @@
-9 9 9,9 9 9 9,9 9 9,9 9 9 9,9 9 9,9 9 9,9 9 9 9,9 9 9,9 9 9,9 9 9 9,9 9 9,9 9 9,9 9 9 9,9 9 9,9 9
-9 9 9,8 8 8 8,8 8 8,8 8 8 8,8 8 8,8 8 8,8 8 8 8,7,8 8 8,7,8 8 8,8 8 8,7,8 8 8,8 8
-9 9 9,8 8 8 8,8 8 8,7,8 8 8,8 8 8,8 8 8 8,6,6,7,8 8 8,7,6,8 8 8,8 8
-9 9 9,8 8 8 8,8 8 8,8 8 8 8,8 8 8,7,8 8 8 8,8 8 8,7,7,8 8 8,7,7,8 8 8,8 8
-9 9 9,8 8 8 8,8 8 8,8 8 8 8,8 8 8,7,8 8 8 8,8 8 8,7,7,8 8 8,8 8 8,7,8 8 8,8 8
-9 9 9,8 8 8 8,8 8 8,8 8 8 8,8 8 8,8 8 8,8 8 8 8,7,8 8 8,7,8 8 8,8 8 8,7,8 8 8,8 8
-9 9 9,8 8 8 8,8 8 8,7,8 8 8,8 8 8,8 8 8 8,6,6,7,8 8 8,7,6,8 8 8,8 8
-9 9 9,8 8 8 8,8 8 8,8 8 8 8,8 8 8,7,8 8 8 8,8 8 8,7,7,8 8 8,7,7,8 8 8,8 8
-9 9 9,8 8 8 8,8 8 8,8 8 8 8,8 8 8,7,8 8 8 8,8 8 8,7,7,8 8 8,8 8 8,7,8 8 8,8 8
-9 9 9,8 8 8 8,8 8 8,8 8 8 8,8 8 8,8 8 8,8 8 8 8,7,8 8 8,7,8 8 8,8 8 8,7,8 8 8,8 8
-9 9 9,8 8 8 8,8 8 8,7,8 8 8,8 8 8,8 8 8 8,6,6,7,8 8 8,7,6,8 8 8,8 8
-9 9 9,8 8 8 8,8 8 8,8 8 8 8,8 8 8,7,8 8 8 8,8 8 8,7,7,8 8 8,7,7,8 8 8,8 8
-9 9 9,8 8 8 8,8 8 8,8 8 8 8,8 8 8,7,8 8 8 8,8 8 8,7,7,8 8 8,8 8 8,7,8 8 8,8 8
diff --git a/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_fp16.csv b/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_fp16.csv
deleted file mode 100644
index 04c4cfc4efb2b0fe6f94ddc332d356ba2966da72..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_fp16.csv
+++ /dev/null
@@ -1,148 +0,0 @@
-Add1,69.7114,211.862,107.8,104.062,6085.83,3099.48,2986.34,49.2963,152.515,80.4532,73.6474,4385.91,2317.11,2113.98
-Add10,41.8232,272.933,216.003,56.9294,13052.8,10330.2,2722.54,29.5763,193.08,152.806,40.2755,9233.85,7307.84,1926.04
-Add10_f2h,40.0563,257.396,205.254,52.142,12850.3,10247,2603.29,28.3409,182.148,145.252,36.8963,9087.18,7246.3,1840.92
-Add10_h2f,10.5152,61.7303,48.6618,13.0686,11780.8,9286.75,2494.08,7.45143,43.7235,34.4675,9.2562,8348.86,6581.42,1767.47
-Add11,32.499,205.175,160.15,45.0253,12627.7,9856.71,2770.94,22.9909,145.16,113.305,31.856,8930.63,6971.08,1959.62
-Add11_f2h,4.84751,25.3885,19.8298,5.55869,10456,8166.49,2289.46,3.43461,18.1215,14.1539,3.96771,7436.9,5808.46,1628.52
-Add11_h2f,2.71712,12.3719,9.65008,2.72179,9106.03,7102.66,2003.36,1.92229,8.92178,6.95893,1.96292,6563.12,5119.11,1444.06
-Add12,32.3458,201.907,158.806,43.1007,12485.6,9820.54,2665.04,22.8734,142.79,112.309,30.483,8830.29,6945.65,1884.77
-Add12_f2h,4.88662,25.364,19.9643,5.39974,10378.2,8169.14,2209.1,3.45883,18.0489,14.2063,3.84293,7376.52,5806.53,1570.11
-Add12_h2f,2.69777,11.7633,9.24658,2.51676,8720.78,6854.97,1865.81,1.90775,8.49592,6.67815,1.81791,6297.92,4950.42,1347.6
-Add13,32.2976,199.983,158.214,41.7697,12384.7,9798.1,2586.56,22.8397,141.436,111.896,29.5422,8758.82,6929.74,1829.23
-Add13_f2h,4.91853,25.4026,20.1163,5.28634,10314.5,8167.97,2146.57,3.50657,18.2597,14.4609,3.79914,7330.34,5804.95,1525.56
-Add13_h2f,2.71496,12.0093,9.49625,2.51304,8840.31,6990.41,1849.9,1.92046,8.68342,6.8666,1.81698,6383.37,5047.78,1335.71
-Add14,0.999932,9.47008,7.42388,2.0462,18954.6,14861.4,4093.23,0.708467,7.11012,5.57305,1.53723,14214.1,11144.8,3069.6
-Add14_f2h,1.88605,7.19323,5.64536,1.54786,7493.19,5878.86,1614.33,1.34509,5.54955,4.35727,1.1924,5686.64,4462.19,1224.59
-Add14_h2f,0.760782,0.960605,0.753025,0.20758,2523.02,1977.84,545.18,0.538123,1.10915,0.869399,0.23978,2911.43,2282.18,629.323
-Add15,0.354443,1.81062,1.41722,0.393395,10528.4,8243.7,2284.66,0.255481,2.29175,1.79496,0.496829,13969.3,10946.3,3023.19
-Add15_f2h,0.764484,1.36953,1.07351,0.296021,3102.43,2430.16,672.268,0.572894,1.59231,1.24879,0.343541,3452.8,2704.95,747.932
-Add15_h2f,0.120211,0.0438951,0.0343584,0.00953666,722.085,565.205,156.881,0.0858258,0.0897805,0.0702545,0.0195276,1484.29,1161.5,322.825
-Add1_f2h,314.261,894.668,472.564,422.104,5684.96,2999.37,2685.59,222.29,654.332,365.302,299.156,4151.15,2314.09,1902.21
-Add1_h2f,83.2799,265.625,135.314,130.311,6379.44,3249.94,3129.5,58.8888,190.41,99.6739,92.2071,4573.2,2394.11,2214.4
-Add2,69.1905,303.338,199.548,103.79,8768.52,5768.33,3000.19,48.9274,214.509,141.116,73.3959,6200.7,4079.22,2121.55
-Add2_f2h,336.556,1525.29,1077.85,447.443,9065.06,6405.97,2659.09,238.064,1078.88,762.399,316.488,6410.37,4530.13,1880.3
-Add2_h2f,83.1178,365.325,234.29,131.036,8790.52,5637.51,3153.01,58.7743,258.343,165.686,92.6601,6216.16,3986.69,2229.56
-Add3,40.9358,206.435,132.407,74.0277,10086.1,6469.28,3616.86,28.9503,146.001,93.6465,52.3555,7132.63,4575.01,2557.68
-Add3_f2h,52.9835,255.846,166.622,89.2241,9657.91,6289.83,3368.08,37.4671,180.924,117.829,63.0955,6829.52,4447.85,2381.69
-Add3_h2f,41.6412,204.32,129.501,74.8188,9814.92,6220.84,3594.07,29.4469,144.508,91.593,52.9164,6942.13,4400.1,2542.08
-Add4,37.6205,200.601,138.934,61.6676,10664.8,7386.36,3278.47,26.6043,141.874,98.2614,43.6138,7542.19,5223.74,2318.49
-Add4_f2h,146.069,779.141,555.206,223.935,10669.7,7603.38,3066.3,103.384,551.386,392.897,158.49,7544.72,5376.51,2168.23
-Add4_h2f,41.3499,213.133,145.707,67.426,10308.5,7047.34,3261.17,29.2407,150.732,103.047,47.6846,7289.72,4983.6,2306.13
-Add5,39.1711,216.321,149.235,67.0856,11045,7619.75,3425.3,27.7004,152.99,105.545,47.445,7810.9,5388.61,2422.31
-Add5_f2h,27.4739,144.775,100.707,44.0675,10539.5,7331.45,3208.09,19.4282,102.386,71.2208,31.165,7453.51,5184.78,2268.74
-Add5_h2f,20.8433,109.029,74.8169,34.2117,10461.4,7178.79,3282.61,14.7445,77.147,52.9395,24.2078,7398.96,5077.34,2321.65
-Add6,38.2773,222.684,163.353,59.3305,11635.7,8535.58,3100.14,27.0679,157.484,115.525,41.9589,8228.62,6036.27,2192.36
-Add6_f2h,78.3804,453.985,337.891,116.094,11585.2,8622.75,2962.45,55.4654,321.237,239.086,82.1516,8192.13,6097.33,2094.81
-Add6_h2f,20.7551,113.98,83.0303,30.9501,10983.3,8000.93,2982.38,14.6773,80.6183,58.7275,21.891,7767.8,5658.58,2109.24
-Add7,38.3104,225.263,168.705,56.5575,11759.8,8807.22,2952.55,27.0935,159.323,119.322,40.0017,8316.1,6228.2,2087.92
-Add7_f2h,81.46,477.128,362.784,114.344,11714.6,8907.2,2807.39,57.624,337.519,256.632,80.8876,8283.65,6298.49,1985.17
-Add7_h2f,20.7616,115.225,85.6469,29.5778,11099.7,8250.44,2849.26,14.6822,81.4998,60.5791,20.9209,7850.09,5834.99,2015.11
-Add8,42.0846,253.744,188.878,64.8666,12058.8,8976.12,3082.68,29.7613,179.461,133.584,45.8767,8527.74,6347.77,2180
-Add8_f2h,14.6636,82.9186,61.9626,20.956,11309.1,8451,2858.12,10.3711,58.6733,43.8445,14.8289,8000.2,5978.33,2021.89
-Add8_h2f,10.5141,57.5583,42.7041,14.8542,10948.7,8123.2,2825.55,7.43528,40.7375,30.2242,10.5133,7748.37,5748.74,1999.65
-Add9,41.8259,265.047,205.792,59.2543,12674.6,9841.07,2833.5,29.5785,187.445,145.539,41.9062,8963.23,6959.46,2003.8
-Add9_f2h,39.8499,247.783,193.75,54.033,12435.2,9723.35,2711.83,28.1894,175.299,137.075,38.2246,8793.58,6875.93,1917.67
-Add9_h2f,10.4589,60.1816,46.5522,13.6294,11508.3,8902.04,2606.31,7.39612,42.594,32.9479,9.64626,8144.6,6300.12,1844.51
-Conv1,310.228,694.841,342.376,352.465,5137.93,2796.38,2341.55,227.742,502.069,283.327,253.153,4000.56,2481.3,1665.08
-Conv10,481.652,3018.22,2355.36,662.857,12534.5,9781.99,2752.5,340.625,2134.28,1665.53,468.767,8863.57,6917.32,1946.32
-Conv10_f2h,16.267,94.4725,71.7156,22.7569,11613.2,8815.27,2797.92,11.5068,66.8653,50.7629,16.1033,8215,6235.99,1979.12
-Conv10_h2f,10.5438,65.7062,52.8554,12.8508,12463.8,10026.1,2437.66,7.45594,46.5025,37.4079,9.09478,8820.88,7095.76,1725.14
-Conv11,173.774,1077.96,835.557,242.405,12410.5,9620.47,2790,122.957,762.523,591.018,171.513,8775.98,6803.22,1972.86
-Conv11_f2h,6.79928,37.3658,28.7179,8.64791,10989.1,8446.21,2542.86,4.81142,26.5033,20.3687,6.13521,7787.5,5985.57,1802.09
-Conv11_h2f,2.77964,12.8278,10.0359,2.79191,9229.29,7220.6,2008.69,1.96619,9.21135,7.20639,2.00505,6624.71,5182.79,1441.97
-Conv12,172.103,1054.21,824.356,229.857,12254.7,9583.51,2671.18,121.754,745.623,583.022,162.614,8665.94,6777.23,1888.86
-Conv12_f2h,6.35668,34.3,26.5952,7.70476,10790.7,8366.52,2424.14,4.49979,24.3436,18.8767,5.46737,7649.53,5931.31,1718.37
-Conv12_h2f,2.76929,12.2454,9.6556,2.58978,8837.54,6968.57,1868.97,1.95863,8.84718,6.97582,1.87148,6378.23,5029.25,1349.07
-Conv13,171.684,1041.08,819.652,221.43,12131.7,9552.2,2579.48,121.445,736.263,579.64,156.639,8579.07,6755.25,1824.02
-Conv13_f2h,6.20782,33.1375,25.8857,7.25183,10669.3,8333.91,2335.41,4.39486,23.5409,18.3911,5.15048,7566.21,5910.3,1656.12
-Conv13_h2f,2.76826,12.0417,9.55355,2.48819,8700.26,6902.56,1797.7,1.95823,8.68074,6.88708,1.79382,6270.3,4974.74,1295.67
-Conv1_f2h,7.62006,16.0868,8.21342,7.87343,4543.5,2445.6,2097.91,5.45871,12.1698,7.31434,5.59711,3581.38,2233.61,1494.73
-Conv1_h2f,83.4767,247.452,143.632,103.82,5928.39,3441,2487.39,59.0279,183.614,113.023,73.667,4398.72,2707.49,1764.94
-Conv2,1399.51,5412.29,3378.78,2033.51,7735.19,4829.01,2906.18,989.654,3830.09,2393.05,1438.02,5474.06,3420.35,2055.12
-Conv2_f2h,109.635,397.898,194.591,203.307,7252.79,3544.58,3708.21,77.5331,282.821,139.764,143.829,5150.57,2542.09,2622.66
-Conv2_h2f,83.3307,436.945,336.643,100.302,10486.9,8079.59,2407.3,58.9247,308.997,238.072,70.9279,7415.87,5713.65,1702.27
-Conv3,354.47,1585.56,948.24,637.318,8947.03,5350.96,3596.07,250.683,1121.23,670.544,450.697,6326.72,3783.93,2542.83
-Conv3_f2h,28.5399,124.01,71.14,52.8695,8689.56,4984.75,3704.81,20.1903,87.7504,50.3439,37.4082,6145.43,3525.53,2620.02
-Conv3_h2f,41.6322,203.92,135.55,68.3698,9796.09,6511.67,3284.41,29.4395,144.212,95.8623,48.3504,6927.44,4604.9,2322.58
-Conv4,543.421,2780.23,1853.46,926.763,10232.8,6821.89,3410.92,384.277,1965.96,1310.62,655.348,7235.83,4823.95,2411.91
-Conv4_f2h,52.8973,253.818,152.989,100.829,9599.81,5786.36,3813.45,37.4134,179.493,108.19,71.3037,6789.28,4092.37,2696.95
-Conv4_h2f,41.5238,236.022,174.197,61.8248,11368,8390.24,2977.78,29.3628,166.909,123.187,43.7213,8038.87,5933.13,2105.74
-Conv5,278.988,1427.88,945.3,482.585,10236.5,6776.91,3459.59,197.282,1009.7,668.449,341.252,7238.45,4792.15,2446.32
-Conv5_f2h,14.8008,70.9043,45.1842,25.7201,9581.37,6105.87,3475.5,10.4668,50.1662,31.9688,18.1977,6778.52,4319.78,2458.78
-Conv5_h2f,20.8418,110.25,77.5339,32.7165,10579.5,7440.09,3139.45,14.7375,78.0695,54.9032,23.1665,7491.32,5268.35,2222.99
-Conv6,490.314,2738.69,1950.74,787.949,11171.6,7957.5,3214.1,346.719,1936.58,1379.4,557.184,7899.63,5626.93,2272.73
-Conv6_f2h,28.103,144.6,96.262,48.3381,10291.3,6851.06,3440.28,19.8745,102.268,68.0815,34.1867,7277.97,4845.06,2432.93
-Conv6_h2f,20.8654,122.714,92.9633,29.7508,11762.4,8910.71,2851.66,14.7546,86.7919,65.7503,21.0417,8318.79,6302.01,2016.79
-Conv7,514.632,2922.64,2150.64,772,11358.7,8358.43,3000.25,363.913,2066.64,1520.74,545.901,8031.96,5910.47,2121.51
-Conv7_f2h,28.2053,152.501,107.622,44.8785,10813.7,7631.44,3182.25,19.9546,107.904,76.1494,31.7549,7647.43,5396.98,2250.48
-Conv7_h2f,20.8436,124.457,96.3593,28.0977,11942.1,9246.03,2696.05,14.7391,88.0253,68.1525,19.8729,8446.1,6539.32,1906.8
-Conv8,240.716,1378.49,1006.49,371.999,11454.2,8363.32,3090.86,170.247,974.885,711.794,263.094,8099.49,5913.93,2185.59
-Conv8_f2h,9.68469,49.5859,35.2796,14.3062,10241.5,7287.22,2954.3,6.87516,35.2358,25.0675,10.1686,7251.09,5159.52,2091.63
-Conv8_h2f,10.5597,59.0058,44.3452,14.6605,11175.6,8398.89,2776.67,7.46752,41.7631,31.3867,10.3764,7908.98,5943.95,1965.05
-Conv9,477.878,2885.71,2189.28,696.429,12080.4,9165.65,2914.72,338.05,2040.9,1548.28,492.646,8542.53,6481.6,2061.04
-Conv9_f2h,16.2347,90.1067,65.6407,24.466,11099.8,8085.77,3014.08,11.4848,63.772,46.458,17.3143,7851.77,5719.72,2132.09
-Conv9_h2f,10.5851,63.9065,50.4134,13.4931,12075.4,9525.82,2549.57,7.48625,45.2319,35.6818,9.55026,8545.5,6741.23,1804.29
-Mul1,5.49296,37.0659,29.09,7.97593,13530.7,10624,2906.69,3.93147,26.5587,20.8353,5.72401,9606.57,7543.24,2063.55
-Mul1_f2h,2.18449,8.22985,6.46583,1.76402,7507.4,5897.26,1610.14,1.54872,6.15957,4.84093,1.31877,5588.96,4391.09,1197.99
-Mul1_h2f,0.810781,1.37103,1.07631,0.294716,3393.71,2664.12,729.59,0.574493,1.51826,1.19191,0.326392,3760.1,2951.69,808.488
-Mul2,1.31517,8.1931,6.40985,1.78324,12447.5,9739.56,2707.96,0.931548,6.00801,4.69986,1.30826,9120.64,7136.62,1984.19
-Mul2_f2h,1.76803,6.49192,5.08483,1.40709,7151.61,5599.64,1551.97,1.26447,5.09282,3.99098,1.10192,5498.59,4306.31,1192.38
-Mul2_h2f,0.133188,0.0183427,0.0143504,0.0039923,261.068,204.28,56.7875,0.0949979,0.06404,0.0500845,0.013956,879.603,688.197,191.411
-Pool1,79.7262,360.302,206.802,153.501,9038.84,5188.08,3850.75,56.3789,254.792,146.244,108.551,6391.73,3668.8,2722.98
-Pool1_f2h,106.496,467.712,270.25,197.462,8783.74,5075.34,3708.4,75.3091,330.755,191.123,139.636,6211.29,3589.1,2622.27
-Pool1_h2f,20.9488,92.2916,53.56,38.7316,8810.98,5113.32,3697.66,14.8149,65.2847,37.8887,27.3971,6231.7,3616.65,2615.16
-Pool2,40.8451,210.857,135.193,75.6642,10325.2,6620.16,3705.01,28.8847,149.127,95.6146,53.5134,7301.99,4681.87,2620.15
-Pool2_f2h,52.6109,263.231,170.165,93.0664,10007,6469.01,3537.99,37.2057,186.157,120.341,65.8167,7076.35,4574.53,2501.84
-Pool2_h2f,10.5892,50.2118,32.2214,17.9904,9482.45,6084.99,3397.46,7.49375,35.5699,22.8258,12.7444,6710.71,4306.37,2404.39
-Pool3,21.7732,125.807,90.0357,35.7709,11556.7,8270.76,3285.91,15.3981,89.0019,63.696,25.3063,8175.07,5850.69,2324.42
-Pool3_f2h,27.105,148.004,106.551,41.4535,10921,7862.21,3058.75,19.1678,104.677,75.3585,29.3184,7723.33,5560.2,2163.15
-Pool3_h2f,5.37692,25.667,18.3482,7.31879,9547.33,6824.97,2722.36,3.80213,18.2207,13.0249,5.19588,6777.51,4844.84,1932.7
-Pool4,12.2268,81.0192,62.5832,18.436,13254.2,10238.3,3015.89,8.64895,57.3698,44.3151,13.055,9382.73,7247.8,2134.97
-Pool4_f2h,14.3183,85.3146,66.1354,19.1792,11917,9238.05,2678.99,10.1261,60.363,46.7931,13.5702,8430.6,6535.39,1895.24
-Pool4_h2f,2.76689,12.3171,9.50437,2.81277,8901.99,6869.12,2032.88,1.95715,8.87091,6.84512,2.02583,6408.16,4944.77,1463.42
-Pool5,4.24587,28.8535,22.6878,6.16569,13613.1,10704.3,2908.83,3.01182,20.5632,16.1689,4.39464,9690.26,7619.75,2070.69
-Pool5_f2h,4.30952,21.6535,17.0404,4.6131,10038.8,7899.74,2139.08,3.05175,15.4491,12.159,3.29042,7146.27,5623.84,1522.54
-Pool5_h2f,0.789328,1.12606,0.885458,0.240603,2854.59,2244.62,609.971,0.558354,1.28688,1.01189,0.27502,3258.62,2562.17,696.513
-Relu1,63.043,222.775,109.755,113.019,7068.58,3483,3585.58,44.5829,158.651,79.4284,79.9495,5034.27,2521.06,2536.23
-Relu10,7.8553,54.9037,42.8846,12.0191,13979.1,10918.9,3060.23,5.55636,38.9249,30.404,8.52113,9908.04,7739.05,2169.03
-Relu10_f2h,14.2674,85.1708,66.8096,18.3612,11939.8,9365.82,2573.95,10.0908,60.2697,47.2767,12.9932,8447.54,6626.47,1821.1
-Relu10_h2f,10.4698,61.6665,48.0288,13.6376,11779.2,9174.16,2605.03,7.40475,43.6532,33.9994,9.654,8336.17,6492.58,1843.64
-Relu11,2.09916,16.791,13.0701,3.72095,15998.3,12453,3545.28,1.48462,12.0634,9.39021,2.67327,11491.9,8945.38,2546.63
-Relu11_f2h,4.48398,23.4935,18.3062,5.18733,10483.3,8168.53,2314.74,3.17253,16.7097,13.0203,3.68949,7455.03,5808.96,1646.13
-Relu11_h2f,2.65339,11.6345,9.04902,2.58551,8767.81,6819.4,1948.41,1.87634,8.37685,6.51523,1.86173,6311.27,4908.75,1402.6
-Relu12,2.09976,17.1837,13.475,3.70873,16368.8,12836,3532.8,1.48516,12.3639,9.69591,2.66821,11777.3,9235.93,2541.54
-Relu12_f2h,4.44727,22.6715,17.7981,4.87339,10189.2,7998.76,2190.47,3.14699,16.1439,12.6738,3.47034,7246.5,5688.6,1558.02
-Relu12_h2f,2.64916,11.3108,8.86276,2.44801,8539.6,6691.38,1848.22,1.87333,8.17249,6.4039,1.76875,6170.04,4834.82,1335.34
-Relu13,2.10382,16.7344,13.1973,3.53714,15914.8,12551.1,3363.76,1.48869,12.0067,9.46927,2.53767,11417,9004.38,2412.85
-Relu13_f2h,4.36041,22.0096,17.3783,4.63133,10092.1,7968.08,2123.99,3.0874,15.6907,12.3898,3.30126,7183.38,5671.67,1511.87
-Relu13_h2f,2.72796,11.4339,9.01109,2.4228,8560.24,6746.45,1813.78,2.03488,8.23175,6.48774,1.74417,6172.8,4865.11,1307.81
-Relu14,1.14743,10.6248,8.32102,2.30382,18530.7,14512.9,4017.87,0.811516,7.89588,6.18393,1.71212,13778.4,10791.3,2987.38
-Relu14_f2h,1.5964,5.26066,4.12403,1.13663,6435.18,5042.95,1392.23,1.14442,4.24048,3.32542,0.91515,5108.03,4003.08,1105.06
-Relu14_h2f,0.762322,0.9319,0.729587,0.202312,2419.48,1894.24,525.243,0.539977,1.14939,0.899736,0.249678,2965.98,2321.79,644.251
-Relu1_f2h,116.511,379.888,188.365,191.522,6536.78,3247.4,3289.38,82.4051,270.74,136.938,135.452,4668.45,2369.38,2327.06
-Relu1_h2f,83.4086,300.518,148.77,151.748,7206.56,3567.67,3638.89,58.9804,213.679,107.062,107.336,5124.37,2567.66,2573.96
-Relu2,62.4233,282.215,169.665,112.55,9042.07,5436.06,3606.01,44.1442,199.587,119.994,79.596,6394.13,3844.28,2549.94
-Relu2_f2h,106.67,463.637,286.355,177.281,8692.96,5369.01,3323.95,75.4328,327.879,202.516,125.367,6147.13,3796.78,2350.42
-Relu2_h2f,83.0734,372.529,221.009,151.52,8968.66,5320.81,3647.85,58.7425,263.431,156.291,107.144,6342.03,3762.66,2579.46
-Relu3,31.1491,157.975,97.2597,60.7158,10143.1,6244.72,3898.34,22.0274,111.732,68.79,42.9423,7173.3,4416.4,2756.93
-Relu3_f2h,53.9219,262.044,163.271,98.7728,9719.42,6055.82,3663.6,38.1317,185.316,115.466,69.8509,6872.96,4282.31,2590.67
-Relu3_h2f,41.4745,201.753,123.336,78.4172,9731.62,5949.14,3782.48,29.3302,142.684,87.2272,55.4573,6883.19,4207.91,2675.32
-Relu4,31.1126,165.225,109.288,55.9374,10620.9,7025.18,3595.76,22.0035,116.872,77.306,39.5668,7511.45,4968.48,2543
-Relu4_f2h,52.5946,268.222,180.055,88.1672,10199.7,6846.98,3352.7,37.1932,189.687,127.336,62.3518,7212.66,4841.86,2370.81
-Relu4_h2f,41.3761,210.186,137.878,72.3072,10159.6,6664.53,3495.09,29.259,148.644,97.5098,51.1349,7184.42,4712.91,2471.53
-Relu5,15.6197,87.4008,58.9328,28.468,11190.8,7545.75,3645.04,11.048,61.8499,41.7045,20.1457,7916.78,5338.18,2578.64
-Relu5_f2h,27.1876,142.132,96.6157,45.5163,10455.9,7107.57,3348.35,19.2268,100.527,68.3345,32.1932,7394.61,5026.63,2368
-Relu5_h2f,20.7564,107.244,71.9782,35.2657,10333.7,6935.58,3398.08,14.6781,75.8517,50.9089,24.9429,7308.38,4905.11,2403.28
-Relu6,15.5774,91.8805,65.7777,26.1027,11796,8444.84,3351.21,11.0158,65.0123,46.543,18.4696,8345.51,5974.6,2370.94
-Relu6_f2h,26.9604,148.182,106.898,41.2837,10992.7,7930.13,3062.55,19.0651,104.8,75.6027,29.1976,7774.08,5608.24,2165.85
-Relu6_h2f,20.7925,111.946,79.7133,32.2323,10779.9,7676.09,3103.81,14.709,79.2691,56.4457,22.8237,7636.46,5437.77,2198.71
-Relu7,15.5863,93.2475,68.0626,25.1848,11966.2,8734.34,3231.84,11.0234,65.9937,48.1698,17.8242,8467.81,6180.86,2286.99
-Relu7_f2h,27.0202,149.73,110.21,39.5201,11082.9,8157.67,2925.21,19.1073,105.894,77.944,27.9502,7837.75,5769.07,2068.69
-Relu7_h2f,20.7296,113.484,82.3887,31.0951,10948.8,7948.82,3000.02,14.6587,80.2669,58.2735,21.9936,7743.7,5621.92,2121.8
-Relu8,7.88397,50.8594,37.3843,13.4751,12900,9482.44,3417.54,5.60997,36.5052,26.8322,9.67313,9199.71,6762.66,2437.09
-Relu8_f2h,14.4739,80.2487,59.2479,21.0008,11105.4,8199.18,2906.22,10.2403,56.8303,41.9579,14.8727,7866.72,5808.05,2058.7
-Relu8_h2f,10.4677,57.0219,41.8152,15.2067,10895,7989.54,2905.49,7.40341,40.3631,29.5989,10.7642,7710.49,5654.25,2056.24
-Relu9,7.84042,52.587,40.301,12.286,13413.6,10279.8,3133.81,5.54547,37.2786,28.5693,8.70947,9505.87,7285.1,2220.81
-Relu9_f2h,14.2726,83.3662,64.1642,19.202,11681.8,8991.1,2690.7,10.0949,58.9936,45.4054,13.5884,8264.16,6360.65,1903.53
-Relu9_h2f,10.4563,59.3499,45.3517,13.9982,11352.1,8674.64,2677.47,7.39481,42.0028,32.0961,9.90692,8032.96,6138.36,1894.63
-Softmax1,2.01231,8.10635,6.34144,1.76491,8058.61,6304.39,1754.22,1.42328,5.95817,4.66119,1.29711,5923.64,4634.63,1289.13
diff --git a/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_fp32.csv b/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_fp32.csv
deleted file mode 100644
index 2e203cf73d4f5220f9f3217398c952496028fb62..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_fp32.csv
+++ /dev/null
@@ -1,50 +0,0 @@
-Add1,113.913,376.561,219.636,156.925,6609.15,3854.17,2754.97,80.5497,282.75,177.622,111.325,4961.17,3115.93,1954.23
-Add10,46.7852,353.064,295.37,57.6943,15092.7,12626.5,2466.15,33.0858,249.698,208.891,40.8191,10672.6,8928.67,1744.47
-Add11,32.7593,228.974,188.206,40.768,13979,11490.1,2488.93,23.1655,161.932,133.101,28.8363,9885.52,8125.42,1760.39
-Add12,32.7648,220.92,180.753,40.1662,13485,11033.3,2451.71,23.1723,156.257,127.848,28.4139,9536.19,7802.45,1733.98
-Add13,32.723,215.055,175.489,39.5662,13144.2,10726,2418.24,23.1396,152.085,124.105,27.9836,9295.27,7585.25,1710.24
-Add14,0.902452,1.91287,1.55297,0.359903,4206.37,3415.11,791.258,0.639486,1.96075,1.59154,0.36925,4301.37,3491.69,809.769
-Add15,0.226743,0.146973,0.119291,0.0276818,1268.32,1029.69,238.626,0.161374,0.274735,0.222974,0.0517663,2347.78,1906.32,441.514
-Add2,114.041,707.602,550.188,157.413,12409.4,9648.8,2760.62,80.6401,500.915,389.6,111.35,8784.41,6832.28,1952.72
-Add3,51.2818,306.368,231.407,74.9613,11948.4,9024.9,2923.5,36.2641,216.686,163.674,53.0143,8450.22,6382.88,2067.43
-Add4,51.329,344.524,275.839,68.6848,13425,10748.6,2676.4,36.2967,243.665,195.087,48.5789,9494.83,7601.95,1892.93
-Add5,48.2779,312.538,246.161,66.377,12947.4,10197.6,2749.79,34.1397,221.022,174.082,46.9412,9155.71,7211.24,1944.51
-Add6,48.3038,331.31,269.638,61.6728,13717.7,11164.2,2553.51,34.1584,234.299,190.684,43.6161,9700.3,7894.61,1805.74
-Add7,48.1751,337.048,277.011,60.0367,13992.6,11500.2,2492.4,34.0674,238.357,195.898,42.4598,9894.64,8132.16,1762.55
-Add8,46.6813,323.76,263.597,60.1628,13871.3,11293.7,2577.64,33.0123,228.964,186.417,42.5484,9808.96,7986.22,1822.79
-Add9,46.6775,338.552,280.794,57.7577,14509.8,12034.3,2475.46,33.0125,239.488,198.63,40.8649,10264.6,8513.31,1751.56
-Conv1,163.415,464.69,270.83,193.861,5719.79,3344.04,2375.74,115.618,364.219,239.324,137.798,4496.91,2961.18,1689.91
-Conv10,802.661,5895.34,4887.39,1007.95,14689.8,12178.3,2511.49,567.577,4168.67,3455.92,712.856,10387.4,8611.5,1776.16
-Conv11,308.859,2238.17,1841.36,396.805,14494.3,11924.8,2569.46,218.426,1582.75,1302.12,280.685,10249.2,8432.33,1817.28
-Conv12,308.957,2143.29,1754.35,388.942,13875.6,11357.9,2517.72,218.489,1515.61,1240.55,275.097,9811.8,8031.51,1780.54
-Conv13,308.526,2076.4,1693.52,382.878,13461.8,10980,2481.86,218.187,1468.29,1197.52,270.808,9519.36,7764.54,1755.1
-Conv2,1186.37,5295.79,3610.95,1684.84,9029.61,6180.44,2849.17,840.943,3760.72,2581.03,1191.77,6467.54,4470.42,2016.67
-Conv3,613.82,3267.16,2333.45,933.711,10647.5,7604.92,3042.61,434.112,2311.16,1650.96,660.338,7532.26,5381.04,2151.65
-Conv4,982.846,5808.36,4413.44,1394.92,11819.9,8981.38,2838.55,695.005,4107.39,3121,986.415,8358.48,6351.33,2007.22
-Conv5,491.91,3047.42,2348.81,698.608,12391.2,9550.74,2840.5,347.871,2154.95,1660.93,494.035,8762.18,6753.64,2008.58
-Conv6,858.952,5554.16,4403.19,1150.97,12932.7,10252.8,2679.96,607.382,3927.42,3113.55,813.89,9144.98,7249.96,1895.06
-Conv7,859.425,5760.38,4659.21,1101.17,13405.5,10842.9,2562.58,607.715,4073.23,3294.58,778.676,9479.18,7667.16,1812.06
-Conv8,434.046,2940.43,2368.34,572.081,13549.6,10913.5,2636.05,306.938,2079.26,1674.71,404.559,9581.1,7717.15,1864.02
-Conv9,801.893,5651.89,4624.92,1026.97,14096.7,11535.3,2561.33,567.034,3996.52,3270.33,726.23,9967.96,8156.84,1811.22
-Mul1,10.6715,65.8927,53.5391,12.3536,12394.8,10071.9,2322.88,7.57836,46.691,37.9335,8.75846,8780.28,7134.75,1645.72
-Mul2,0.821147,1.66598,1.35236,0.313621,4076.84,3309.78,767.066,0.582562,1.7168,1.39365,0.323189,4224.31,3430.04,794.372
-Pool1,175.393,1012.62,726.774,285.844,11549.1,8289.34,3259.78,124.05,716.6,514.49,202.181,8172.74,5868.18,2305.37
-Pool2,88.7044,575.997,444.625,131.372,12987.9,10025.6,2962.21,62.7347,407.367,314.456,92.9131,9184.52,7089.77,2094.78
-Pool3,45.2833,307.898,247.595,60.3023,13598.6,10935.2,2663.36,32.0292,217.79,175.137,42.6548,9616.06,7732.71,1883.4
-Pool4,24.6055,179.513,148.419,31.0941,14591.4,12063.9,2527.45,17.4004,126.964,104.972,21.9976,10319,8531.59,1787.91
-Pool5,8.20681,50.2013,40.8424,9.35894,12226.9,9947.17,2279.71,5.82151,35.6921,29.0395,6.65352,8656.71,7042.81,1614.13
-Relu1,75.1381,267.733,149.248,118.484,7127.84,3973.96,3153.88,53.1331,197.389,117.092,83.9442,5255.76,3118.27,2234.45
-Relu10,9.31493,65.6928,54.5384,11.1544,14104.6,11709.8,2394.86,6.58686,46.4969,38.6024,7.89659,9982.66,8287.84,1695.28
-Relu11,2.49349,12.8041,10.5081,2.29598,10267.6,8426.39,1841.24,1.76354,9.25156,7.5928,1.65903,7415.31,6085.61,1329.91
-Relu12,2.50068,12.3579,10.0966,2.26132,9872.52,8066.18,1806.35,1.77005,8.95586,7.31638,1.63973,7136.08,5830.14,1306.13
-Relu13,2.48762,12.2284,9.96443,2.26399,9833.11,8012.58,1820.53,1.75929,8.83304,7.19779,1.63547,7102.38,5787.52,1315.04
-Relu14,0.846016,1.57242,1.27739,0.29503,3703.4,3008.56,694.844,0.599154,1.69071,1.37363,0.317122,3975.03,3229.61,745.515
-Relu2,74.295,455.493,338.819,116.674,12261.1,9120.32,3140.75,52.5363,322.394,239.897,82.5246,8677.47,6456.88,2221.33
-Relu3,36.6237,218.815,161.907,56.9082,11949.1,8841.42,3107.67,25.8986,154.77,114.524,40.248,8450.92,6253.36,2197.68
-Relu4,36.7139,244.573,191.979,52.5941,13329.1,10462.8,2866.31,25.9761,173.026,135.817,37.2093,9428.22,7400.79,2027.47
-Relu5,18.3751,115.933,90.1275,25.8055,12618,9809.37,2808.64,12.9942,82.009,63.7545,18.2548,8924.67,6938.12,1986.59
-Relu6,18.3515,122.286,98.2308,24.0552,13327.1,10705.5,2621.61,12.9773,86.4993,69.4836,17.016,9426.46,7572.14,1854.36
-Relu7,18.3889,125.084,101.453,23.631,13603.6,11033.6,2570.02,13.0046,88.4856,71.7689,16.7172,9621.58,7803.86,1817.78
-Relu8,9.34284,60.6176,48.9763,11.6413,12976.3,10484.3,2492.01,6.60743,42.914,34.6725,8.24179,9185.09,7421.14,1764
-Relu9,9.34283,63.4928,52.2617,11.2311,13592.4,11188.1,2404.33,6.60725,44.9455,36.9955,7.95121,9621.07,7919.28,1702.05
-Softmax1,2.09116,9.17789,7.4508,1.72709,8772.87,7122.11,1650.76,1.47902,6.75862,5.48652,1.27228,6456.75,5241.62,1215.29
diff --git a/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_layers.txt b/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_layers.txt
deleted file mode 100644
index af6469192145b246beaec42cf42a6629e5ed1a93..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_layers.txt
+++ /dev/null
@@ -1,15 +0,0 @@
-Conv1,2000,3,32,32,64,3,3,3,1,1
-Conv2,2000,64,32,32,64,64,3,3,1,1
-Conv3,2000,64,16,16,128,64,3,3,1,1
-Conv4,2000,128,16,16,128,128,3,3,1,1
-Conv5,2000,128,8,8,256,128,3,3,1,1
-Conv6,2000,256,8,8,256,256,3,3,1,1
-Conv7,2000,256,8,8,256,256,3,3,1,1
-Conv8,2000,256,4,4,512,256,3,3,1,1
-Conv9,2000,512,4,4,512,512,3,3,1,1
-Conv10,2000,512,4,4,512,512,3,3,1,1
-Conv11,2000,512,2,2,512,512,3,3,1,1
-Conv12,2000,512,2,2,512,512,3,3,1,1
-Conv13,2000,512,2,2,512,512,3,3,1,1
-FC1,2000,512,512,512
-FC2,2000,512,512,10
diff --git a/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_ops.txt b/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_ops.txt
deleted file mode 100644
index 2075774fde3e66afd1a1946cac46b87038a6486f..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_ops.txt
+++ /dev/null
@@ -1,64 +0,0 @@
-#Conv1,3
-Conv1
-Add1
-Relu1
-#Conv2,4
-Conv2
-Add2
-Relu2
-Pool1
-#Conv3,3
-Conv3
-Add3
-Relu3
-#Conv4,4
-Conv4
-Add4
-Relu4
-Pool2
-#Conv5,3
-Conv5
-Add5
-Relu5
-#Conv6,3
-Conv6
-Add6
-Relu6
-#Conv7,4
-Conv7
-Add7
-Relu7
-Pool3
-#Conv8,3
-Conv8
-Add8
-Relu8
-#Conv9,3
-Conv9
-Add9
-Relu9
-#Conv10,4
-Conv10
-Add10
-Relu10
-Pool4
-#Conv11,3
-Conv11
-Add11
-Relu11
-#Conv12,3
-Conv12
-Add12
-Relu12
-#Conv13,4
-Conv13
-Add13
-Relu13
-Pool5
-#FC1,3
-Mul1
-Add14
-Relu14
-#FC2,2
-Mul2
-Add15
diff --git a/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_promise_confs1.txt b/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_promise_confs1.txt
deleted file mode 100644
index e6989e16ee3869ecb13ecc9f73af7f9a66c24dee..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_promise_confs1.txt
+++ /dev/null
@@ -1,33 +0,0 @@
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diff --git a/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_promise_confs2.txt b/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_promise_confs2.txt
deleted file mode 100644
index 4732b0c143c403151aa411ec9b97007a2fc4898b..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_promise_confs2.txt
+++ /dev/null
@@ -1,52 +0,0 @@
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diff --git a/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_promise_results1.csv b/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_promise_results1.csv
deleted file mode 100644
index f5825603b85a2a5a4313c427ce35c6c0f97996c4..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_promise_results1.csv
+++ /dev/null
@@ -1,407 +0,0 @@
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-c2,1108.984,7471.505,2073.98,3356.913,1731.6018,313.098433,352.195669,1683.0934,277.897139,357.330128,1299.926,1273.3007,80.061262,2.857198,0.543719,21383.287448,2.73644951514824
-c3,1145.5648,7908.45,2073.98,3356.913,1731.6018,313.098433,352.195669,1683.0934,277.897139,357.330128,1299.926,80.061262,1286.6509,2.857198,0.543719,21870.163448,2.67553037335887
-c4,1145.5648,7908.45,2073.98,3356.913,1731.6018,313.098433,352.195669,1683.0934,277.897139,357.330128,1299.926,69.928921,1286.6509,2.857198,0.543719,21860.031107,2.67677050818951
-c5,1145.5648,7908.45,2073.98,3356.913,1731.6018,352.195669,3366.9575,1683.0934,277.897139,357.330128,1299.926,69.928921,80.061262,2.857198,0.532687,23707.289504,2.46819808676599
-c6,1108.984,7471.505,2073.98,3356.913,1731.6018,313.098433,352.195669,1683.0934,277.897139,3427.0759,1299.926,1273.3007,80.061262,2.857198,0.543719,24453.03322,2.39292549424294
-c7,1145.5648,7908.45,2073.98,3356.913,1731.6018,313.098433,3366.9575,1683.0934,277.897139,277.897139,1299.926,69.928921,80.061262,57.16078,0.543719,23643.073893,2.4749018194641
-c8,1145.5648,7908.45,2073.98,3356.913,1731.6018,352.195669,352.195669,1683.0934,3203.344,357.330128,1299.926,69.928921,80.061262,57.16078,10.00372,23681.749149,2.47085999550776
-c9,1145.5648,7908.45,2073.98,3356.913,1731.6018,313.098433,352.195669,1683.0934,3203.344,357.330128,1299.926,69.928921,80.061262,2.857198,0.543719,23578.88833,2.48163890408637
-c10,1145.5648,7908.45,2073.98,3356.913,139.46418,272.76268,3366.9575,1683.0934,3203.344,3427.0759,69.928921,69.928921,89.882488,3.135222,0.538289,26811.019301,2.1824715415639
-c11,1145.5648,7908.45,2073.98,3356.913,1731.6018,3053.2545,3366.9575,1683.0934,277.897139,277.897139,1299.926,69.928921,80.061262,2.570366,0.543719,26328.639546,2.22245765940626
-c12,1145.5648,7908.45,2073.98,3356.913,1731.6018,313.098433,352.195669,1683.0934,318.232892,3427.0759,1299.926,1273.3007,1286.6509,2.857198,0.543719,26173.484411,2.23563227962284
-c13,1145.5648,7908.45,2073.98,3356.913,1731.6018,313.098433,3366.9575,1683.0934,277.897139,357.330128,1299.926,69.928921,89.882488,2.857198,0.538289,23678.019096,2.47124923578426
-c14,1145.5648,7908.45,2073.98,3356.913,1731.6018,352.195669,3366.9575,1683.0934,277.897139,357.330128,1299.926,69.928921,80.061262,2.857198,0.543719,23707.300536,2.46819693821003
-c15,1145.5648,7908.45,2073.98,3356.913,1731.6018,313.098433,352.195669,1683.0934,277.897139,3427.0759,1299.926,69.928921,69.928921,2.857198,0.543719,23713.0549,2.46759798950409
-c16,1145.5648,6358.145,1949.97,3356.913,159.632057,313.098433,3366.9575,1683.0934,318.232892,3427.0759,1299.926,1273.3007,1286.6509,57.16078,0.538289,25996.259651,2.25087329498426
-c17,1145.5648,7908.45,2073.98,3356.913,1731.6018,313.098433,352.195669,1683.0934,277.897139,3427.0759,1299.926,69.928921,80.061262,2.570366,0.543719,23722.900409,2.46657388377955
-c18,1145.5648,7908.45,2073.98,3356.913,1731.6018,313.098433,352.195669,1683.0934,3203.344,357.330128,1299.926,1273.3007,80.061262,2.857198,0.543719,24782.260109,2.36113600412241
-c19,1108.984,7471.505,2073.98,3356.913,179.180675,352.195669,313.098433,1683.0934,3203.344,3427.0759,1299.926,89.882488,69.928921,57.16078,10.00372,24696.271986,2.3693570689226
-c20,1145.5648,7908.45,2073.98,3356.913,1731.6018,313.098433,352.195669,1683.0934,318.232892,3427.0759,1299.926,69.928921,69.928921,2.857198,0.543719,23753.390653,2.46340774887517
-c21,1145.5648,6358.145,1949.97,3356.913,159.632057,3053.2545,3366.9575,1683.0934,318.232892,3427.0759,1299.926,1273.3007,69.928921,2.857198,0.538289,27465.390157,2.13047352669918
-c22,1145.5648,6358.145,1949.97,3356.913,179.180675,3053.2545,3366.9575,1683.0934,318.232892,3427.0759,69.928921,1273.3007,1286.6509,2.857198,0.538289,27471.663675,2.12998700487335
-c23,1145.5648,7908.45,2073.98,3356.913,159.632057,3053.2545,3366.9575,1683.0934,3203.344,357.330128,89.882488,69.928921,89.882488,3.135222,10.00372,26571.352224,2.20215689926132
-c24,1108.984,6756.043,1949.97,3356.913,139.46418,3053.2545,3366.9575,1683.0934,3203.344,318.232892,1299.926,89.882488,80.061262,57.16078,0.532687,26463.819689,2.21110509781064
-c25,1145.5648,7908.45,2073.98,3356.913,1731.6018,352.195669,272.76268,1683.0934,3203.344,3427.0759,1299.926,1273.3007,1286.6509,57.16078,10.00372,29082.023349,2.0120431766247
-c26,1145.5648,6358.145,1949.97,3356.913,1731.6018,272.76268,272.76268,1683.0934,3203.344,3427.0759,89.882488,1273.3007,1286.6509,2.570366,10.00372,26063.641434,2.24505415970628
-c27,1145.5648,7908.45,2073.98,3356.913,1731.6018,352.195669,272.76268,1683.0934,3203.344,3427.0759,1299.926,89.882488,89.882488,3.135222,10.00372,26647.811167,2.19583838450037
-c28,1145.5648,7908.45,2073.98,3356.913,1731.6018,3053.2545,3366.9575,1683.0934,3203.344,357.330128,89.882488,69.928921,80.061262,2.857198,0.543719,28123.762716,2.08059949964129
-c29,1145.5648,7908.45,2073.98,3356.913,1731.6018,313.098433,352.195669,1683.0934,3203.344,3427.0759,1299.926,69.928921,69.928921,2.857198,0.532687,26638.490729,2.19660667785648
-c30,1108.984,7471.505,2073.98,3356.913,1731.6018,313.098433,352.195669,1683.0934,3203.344,3427.0759,1299.926,80.061262,80.061262,2.857198,0.543719,26185.240643,2.23462856107758
-c31,1145.5648,7908.45,2073.98,3356.913,1731.6018,313.098433,3366.9575,1683.0934,3203.344,357.330128,1299.926,69.928921,1286.6509,2.857198,0.543719,27800.239799,2.10481229858397
-c32,1108.984,6756.043,1949.97,3356.913,1731.6018,352.195669,3366.9575,1683.0934,3203.344,3427.0759,1299.926,89.882488,80.061262,57.16078,0.532687,28463.741486,2.05574824610481
-c2,21383.287448
-
-Leakage Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,151.959867,151.959867,0,153.127903,153.127903,0,38.454652,0,1.156348,0.102999,649.889539,0
-c2,0,0,0,0,0,151.959867,151.959867,0,153.127903,153.127903,0,0,38.454652,1.156348,0.102999,649.889539,0
-c3,0,0,0,0,0,151.959867,151.959867,0,153.127903,153.127903,0,38.454652,0,1.156348,0.102999,649.889539,0
-c4,0,0,0,0,0,151.959867,151.959867,0,153.127903,153.127903,0,38.454652,0,1.156348,0.102999,649.889539,0
-c5,0,0,0,0,0,151.959867,0,0,153.127903,153.127903,0,38.454652,38.454652,1.156348,0.102999,536.384324,0
-c6,0,0,0,0,0,151.959867,151.959867,0,153.127903,0,0,0,38.454652,1.156348,0.102999,496.761636,0
-c7,0,0,0,0,0,151.959867,0,0,153.127903,153.127903,0,38.454652,38.454652,0,0.102999,535.227976,0
-c8,0,0,0,0,0,151.959867,151.959867,0,0,153.127903,0,38.454652,38.454652,0,0,533.956941,0
-c9,0,0,0,0,0,151.959867,151.959867,0,0,153.127903,0,38.454652,38.454652,1.156348,0.102999,535.216288,0
-c10,0,0,0,0,76.708720,151.959867,0,0,0,0,38.454652,38.454652,38.454652,1.156348,0.102999,345.29189,0
-c11,0,0,0,0,0,0,0,0,153.127903,153.127903,0,38.454652,38.454652,1.156348,0.102999,384.424457,0
-c12,0,0,0,0,0,151.959867,151.959867,0,153.127903,0,0,0,0,1.156348,0.102999,458.306984,0
-c13,0,0,0,0,0,151.959867,0,0,153.127903,153.127903,0,38.454652,38.454652,1.156348,0.102999,536.384324,0
-c14,0,0,0,0,0,151.959867,0,0,153.127903,153.127903,0,38.454652,38.454652,1.156348,0.102999,536.384324,0
-c15,0,0,0,0,0,151.959867,151.959867,0,153.127903,0,0,38.454652,38.454652,1.156348,0.102999,535.216288,0
-c16,0,0,0,0,76.708720,151.959867,0,0,153.127903,0,0,0,0,0,0.102999,381.899489,0
-c17,0,0,0,0,0,151.959867,151.959867,0,153.127903,0,0,38.454652,38.454652,1.156348,0.102999,535.216288,0
-c18,0,0,0,0,0,151.959867,151.959867,0,0,153.127903,0,0,38.454652,1.156348,0.102999,496.761636,0
-c19,0,0,0,0,76.708720,151.959867,151.959867,0,0,0,0,38.454652,38.454652,0,0,457.537758,0
-c20,0,0,0,0,0,151.959867,151.959867,0,153.127903,0,0,38.454652,38.454652,1.156348,0.102999,535.216288,0
-c21,0,0,0,0,76.708720,0,0,0,153.127903,0,0,0,38.454652,1.156348,0.102999,269.550622,0
-c22,0,0,0,0,76.708720,0,0,0,153.127903,0,38.454652,0,0,1.156348,0.102999,269.550622,0
-c23,0,0,0,0,76.708720,0,0,0,0,153.127903,38.454652,38.454652,38.454652,1.156348,0,346.356927,0
-c24,0,0,0,0,76.708720,0,0,0,0,153.127903,0,38.454652,38.454652,0,0.102999,306.848926,0
-c25,0,0,0,0,0,151.959867,151.959867,0,0,0,0,0,0,0,0,303.919734,0
-c26,0,0,0,0,0,151.959867,151.959867,0,0,0,38.454652,0,0,1.156348,0,343.530734,0
-c27,0,0,0,0,0,151.959867,151.959867,0,0,0,0,38.454652,38.454652,1.156348,0,381.985386,0
-c28,0,0,0,0,0,0,0,0,0,153.127903,38.454652,38.454652,38.454652,1.156348,0.102999,269.751206,0
-c29,0,0,0,0,0,151.959867,151.959867,0,0,0,0,38.454652,38.454652,1.156348,0.102999,382.088385,0
-c30,0,0,0,0,0,151.959867,151.959867,0,0,0,0,38.454652,38.454652,1.156348,0.102999,382.088385,0
-c31,0,0,0,0,0,151.959867,0,0,0,153.127903,0,38.454652,0,1.156348,0.102999,344.801769,0
-c32,0,0,0,0,0,151.959867,0,0,0,0,0,38.454652,38.454652,0,0.102999,228.97217,0
-c0,0
-
-Memory Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,43.122319,43.122319,0,47.088742,47.088742,0,11.960929,0,0.861623,0.418899,193.663573,0
-c2,0,0,0,0,0,43.122319,43.122319,0,47.088742,47.088742,0,0,11.960929,0.861623,0.418899,193.663573,0
-c3,0,0,0,0,0,43.122319,43.122319,0,47.088742,47.088742,0,11.960929,0,0.861623,0.418899,193.663573,0
-c4,0,0,0,0,0,43.122319,43.122319,0,47.088742,47.088742,0,11.960929,0,0.861623,0.418899,193.663573,0
-c5,0,0,0,0,0,43.122319,0,0,47.088742,47.088742,0,11.960929,11.960929,0.861623,0.418899,162.502183,0
-c6,0,0,0,0,0,43.122319,43.122319,0,47.088742,0,0,0,11.960929,0.861623,0.418899,146.574831,0
-c7,0,0,0,0,0,43.122319,0,0,47.088742,47.088742,0,11.960929,11.960929,0,0.418899,161.64056,0
-c8,0,0,0,0,0,43.122319,43.122319,0,0,47.088742,0,11.960929,11.960929,0,0,157.255238,0
-c9,0,0,0,0,0,43.122319,43.122319,0,0,47.088742,0,11.960929,11.960929,0.861623,0.418899,158.53576,0
-c10,0,0,0,0,23.915213,43.122319,0,0,0,0,11.960929,11.960929,11.960929,0.861623,0.418899,104.200841,0
-c11,0,0,0,0,0,0,0,0,47.088742,47.088742,0,11.960929,11.960929,0.861623,0.418899,119.379864,0
-c12,0,0,0,0,0,43.122319,43.122319,0,47.088742,0,0,0,0,0.861623,0.418899,134.613902,0
-c13,0,0,0,0,0,43.122319,0,0,47.088742,47.088742,0,11.960929,11.960929,0.861623,0.418899,162.502183,0
-c14,0,0,0,0,0,43.122319,0,0,47.088742,47.088742,0,11.960929,11.960929,0.861623,0.418899,162.502183,0
-c15,0,0,0,0,0,43.122319,43.122319,0,47.088742,0,0,11.960929,11.960929,0.861623,0.418899,158.53576,0
-c16,0,0,0,0,23.915213,43.122319,0,0,47.088742,0,0,0,0,0,0.418899,114.545173,0
-c17,0,0,0,0,0,43.122319,43.122319,0,47.088742,0,0,11.960929,11.960929,0.861623,0.418899,158.53576,0
-c18,0,0,0,0,0,43.122319,43.122319,0,0,47.088742,0,0,11.960929,0.861623,0.418899,146.574831,0
-c19,0,0,0,0,23.915213,43.122319,43.122319,0,0,0,0,11.960929,11.960929,0,0,134.081709,0
-c20,0,0,0,0,0,43.122319,43.122319,0,47.088742,0,0,11.960929,11.960929,0.861623,0.418899,158.53576,0
-c21,0,0,0,0,23.915213,0,0,0,47.088742,0,0,0,11.960929,0.861623,0.418899,84.245406,0
-c22,0,0,0,0,23.915213,0,0,0,47.088742,0,11.960929,0,0,0.861623,0.418899,84.245406,0
-c23,0,0,0,0,23.915213,0,0,0,0,47.088742,11.960929,11.960929,11.960929,0.861623,0,107.748365,0
-c24,0,0,0,0,23.915213,0,0,0,0,47.088742,0,11.960929,11.960929,0,0.418899,95.344712,0
-c25,0,0,0,0,0,43.122319,43.122319,0,0,0,0,0,0,0,0,86.244638,0
-c26,0,0,0,0,0,43.122319,43.122319,0,0,0,11.960929,0,0,0.861623,0,99.06719,0
-c27,0,0,0,0,0,43.122319,43.122319,0,0,0,0,11.960929,11.960929,0.861623,0,111.028119,0
-c28,0,0,0,0,0,0,0,0,0,47.088742,11.960929,11.960929,11.960929,0.861623,0.418899,84.252051,0
-c29,0,0,0,0,0,43.122319,43.122319,0,0,0,0,11.960929,11.960929,0.861623,0.418899,111.447018,0
-c30,0,0,0,0,0,43.122319,43.122319,0,0,0,0,11.960929,11.960929,0.861623,0.418899,111.447018,0
-c31,0,0,0,0,0,43.122319,0,0,0,47.088742,0,11.960929,0,0.861623,0.418899,103.452512,0
-c32,0,0,0,0,0,43.122319,0,0,0,0,0,11.960929,11.960929,0,0.418899,67.463076,0
-c0,0
-
-Memory Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,18.163317,18.163317,0,19.033555,19.033555,0,4.848960,0,0.281905,0.089271,79.61388,0
-c2,0,0,0,0,0,18.163317,18.163317,0,19.033555,19.033555,0,0,4.848960,0.281905,0.089271,79.61388,0
-c3,0,0,0,0,0,18.163317,18.163317,0,19.033555,19.033555,0,4.848960,0,0.281905,0.089271,79.61388,0
-c4,0,0,0,0,0,18.163317,18.163317,0,19.033555,19.033555,0,4.848960,0,0.281905,0.089271,79.61388,0
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-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
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diff --git a/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_promise_results2.csv b/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_promise_results2.csv
deleted file mode 100644
index d02d164d68835e458f2902e02bbd6c3acff2e1c7..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_promise_results2.csv
+++ /dev/null
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-c44,1108.984,7471.505,1949.97,6973.454,1731.6018,157.113483,3366.9575,1683.0934,118.016247,157.113483,39.466907,39.466907,39.466907,1.117251,10.00372,24847.330605,2.3549526320437
-c45,1108.984,6358.145,1949.97,6973.454,1731.6018,157.113483,118.016247,1683.0934,157.113483,3427.0759,39.466907,29.645681,29.645681,1.117251,10.00372,23774.446553,2.46122602544847
-c46,1108.984,7471.505,1949.97,118.016247,3475.891,77.680494,3366.9575,3324.8076,3203.344,3427.0759,1299.926,2376.5679,29.645681,1.117251,10.00372,31241.492293,1.87296708194743
-c47,1129.478,7471.505,1949.97,3356.913,3475.891,157.113483,77.680494,3324.8076,157.113483,3427.0759,2479.9481,1273.3007,1286.6509,0.839227,0.016391,29568.303278,1.97895314096841
-c48,1108.984,7471.505,1949.97,6973.454,3475.891,77.680494,3366.9575,1683.0934,157.113483,118.016247,1299.926,39.466907,29.645681,1.117251,0.016391,27752.837354,2.10840736339074
-c49,1129.478,7471.505,1949.97,6973.454,1731.6018,118.016247,118.016247,3324.8076,6053.9348,157.113483,1299.926,19.513340,1286.6509,57.16078,10.00372,31701.151917,1.84580947757423
-c50,1108.984,6358.145,1949.97,6973.454,59.008124,6007.756,3366.9575,1683.0934,157.113483,157.113483,1299.926,2376.5679,29.645681,1.117251,10.00372,31538.855542,1.85530786237777
-c51,1108.984,6358.145,1949.97,6973.454,3475.891,77.680494,3366.9575,1683.0934,157.113483,157.113483,1299.926,2376.5679,29.645681,57.16078,10.00372,29081.706441,2.01206510218048
-c16,16357.319723
-
-Compute Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,352.4661,1550.099,701.7255,1159.5933,558.563,925.6073,971.2723,490.07014,857.91333,883.36663,344.11179,344.22248,351.94343,12.419968,1.04789,9504.422158,0.999999989478582
-c1,352.4661,90.532480,426.5549,1159.5933,558.563,82.574848,971.2723,290.68457,527.54432,543.5573,208.37216,21.220352,21.220352,12.419968,1.669613,5268.245563,1.80409623354347
-c2,352.4661,90.532480,426.5549,1159.5933,558.563,82.574848,590.3019,290.68457,83.036160,83.036160,208.37216,344.22248,210.33129,0.922624,1.669613,4482.861585,2.12016850526585
-c3,352.4661,90.532480,426.5549,1159.5933,558.563,82.574848,590.3019,290.68457,857.91333,543.5573,208.37216,344.22248,21.220352,0.922624,1.669613,5529.148957,1.71896652812556
-c4,442.9824,90.532480,426.5549,1159.5933,41.518080,82.574848,590.3019,290.68457,83.036160,543.5573,208.37216,21.220352,21.220352,0.922624,1.669613,4004.741039,2.37329251207814
-c5,442.9824,1610.85,701.7255,82.574848,41.518080,82.574848,971.2723,290.68457,83.036160,83.036160,21.220352,206.54856,351.94343,0.922624,0.018020,4970.907852,1.91200928477784
-c6,352.4661,1550.099,426.5549,1159.5933,333.7788,544.1687,590.3019,41.518080,83.036160,83.036160,21.220352,21.220352,21.220352,7.640322,1.669613,5237.524091,1.81467842656118
-c7,352.4661,90.532480,426.5549,1159.5933,41.518080,82.574848,971.2723,290.68457,83.036160,543.5573,208.37216,344.22248,21.220352,0.922624,0.018020,4616.545674,2.05877351233646
-c8,352.4661,1550.099,426.5549,82.574848,41.518080,925.6073,971.2723,490.07014,83.036160,83.036160,208.37216,21.220352,21.220352,12.419968,0.018020,5269.48584,1.80367160406542
-c9,352.4661,90.532480,426.5549,1159.5933,41.518080,82.574848,590.3019,290.68457,83.036160,543.5573,208.37216,344.22248,21.220352,0.922624,1.669613,4237.226867,2.24307600985775
-c10,352.4661,90.532480,426.5549,1159.5933,41.518080,82.574848,590.3019,290.68457,83.036160,543.5573,208.37216,344.22248,21.220352,0.922624,1.669613,4237.226867,2.24307600985775
-c11,352.4661,90.532480,426.5549,1159.5933,41.518080,925.6073,590.3019,290.68457,527.54432,83.036160,208.37216,344.22248,21.220352,0.922624,1.669613,5064.246339,1.87676928294919
-c12,352.4661,1550.099,426.5549,1159.5933,41.518080,82.574848,590.3019,41.518080,83.036160,543.5573,344.11179,344.22248,351.94343,0.922624,1.669613,5914.089605,1.6070811624593
-c13,352.4661,1550.099,426.5549,82.574848,41.518080,925.6073,590.3019,490.07014,83.036160,543.5573,21.220352,344.22248,21.220352,0.922624,1.669613,5475.041149,1.73595443865121
-c14,352.4661,1610.85,701.7255,652.9992,333.7788,925.6073,971.2723,41.518080,83.036160,83.036160,208.37216,21.220352,21.220352,0.922624,0.018020,6008.043108,1.58194970125122
-c15,442.9824,1610.85,701.7255,652.9992,41.518080,925.6073,82.574848,490.07014,83.036160,543.5573,21.220352,21.220352,21.220352,0.922624,0.018020,5639.522628,1.68532385033417
-c16,352.4661,1610.85,426.5549,652.9992,41.518080,82.574848,82.574848,290.68457,83.036160,83.036160,208.37216,21.220352,21.220352,0.922624,1.04789,3959.078244,2.40066533980162
-c17,442.9824,1610.85,701.7255,652.9992,558.563,544.1687,82.574848,41.518080,527.54432,883.36663,21.220352,206.54856,21.220352,0.922624,1.669613,6297.874179,1.50914764838862
-c18,352.4661,90.532480,426.5549,1159.5933,41.518080,82.574848,590.3019,290.68457,527.54432,543.5573,208.37216,206.54856,21.220352,0.922624,0.018020,4542.409514,2.09237452490122
-c19,352.4661,1610.85,426.5549,652.9992,558.563,544.1687,82.574848,490.07014,83.036160,543.5573,208.37216,21.220352,21.220352,7.640322,0.018020,5603.311554,1.69621515719461
-c20,352.4661,1610.85,426.5549,1159.5933,41.518080,925.6073,82.574848,490.07014,83.036160,883.36663,21.220352,21.220352,21.220352,0.922624,1.669613,6121.890751,1.55253048270984
-c21,352.4661,1610.85,701.7255,652.9992,558.563,544.1687,82.574848,41.518080,83.036160,883.36663,21.220352,206.54856,351.94343,0.922624,0.018020,6091.921204,1.56016824310572
-c22,352.4661,1550.099,426.5549,82.574848,41.518080,82.574848,590.3019,290.68457,83.036160,543.5573,208.37216,344.22248,21.220352,0.922624,1.669613,4619.774935,2.05733441260522
-c23,442.9824,1610.85,426.5549,1159.5933,333.7788,544.1687,82.574848,41.518080,527.54432,543.5573,208.37216,21.220352,21.220352,12.419968,1.669613,5978.025093,1.58989329270965
-c24,352.4661,1610.85,426.5549,1159.5933,333.7788,544.1687,82.574848,41.518080,83.036160,543.5573,208.37216,21.220352,21.220352,12.419968,0.018020,5441.34904,1.74670323727839
-c25,442.9824,1610.85,426.5549,652.9992,41.518080,82.574848,82.574848,290.68457,83.036160,83.036160,208.37216,206.54856,210.33129,7.640322,1.04789,4430.751388,2.14510386866455
-c26,352.4661,1610.85,426.5549,652.9992,333.7788,925.6073,82.574848,41.518080,527.54432,543.5573,208.37216,344.22248,21.220352,0.922624,1.669613,6073.858077,1.56480804803619
-c27,352.4661,1610.85,426.5549,652.9992,333.7788,925.6073,82.574848,41.518080,527.54432,543.5573,208.37216,344.22248,21.220352,12.419968,1.669613,6085.355421,1.56185158372442
-c28,352.4661,1610.85,426.5549,1159.5933,558.563,544.1687,82.574848,41.518080,527.54432,543.5573,208.37216,21.220352,21.220352,12.419968,0.018020,6110.6414,1.55538860494434
-c29,352.4661,1610.85,426.5549,652.9992,333.7788,925.6073,82.574848,41.518080,527.54432,543.5573,208.37216,344.22248,21.220352,0.922624,1.669613,6073.858077,1.56480804803619
-c30,352.4661,1550.099,701.7255,652.9992,41.518080,82.574848,590.3019,290.68457,83.036160,83.036160,21.220352,344.22248,21.220352,0.922624,0.018020,4816.045346,1.97349096153027
-c31,442.9824,1550.099,701.7255,82.574848,558.563,544.1687,971.2723,490.07014,857.91333,83.036160,344.11179,21.220352,210.33129,0.922624,0.018020,6859.009454,1.3856843445359
-c32,442.9824,1550.099,701.7255,82.574848,333.7788,82.574848,590.3019,490.07014,527.54432,83.036160,208.37216,21.220352,21.220352,0.922624,0.018020,5136.441424,1.8503904139842
-c33,442.9824,1550.099,426.5549,82.574848,558.563,544.1687,971.2723,490.07014,857.91333,83.036160,344.11179,21.220352,210.33129,0.922624,0.018020,6583.838854,1.44359882196474
-c34,352.4661,1610.85,426.5549,652.9992,41.518080,82.574848,971.2723,490.07014,83.036160,83.036160,208.37216,21.220352,21.220352,0.922624,1.04789,5047.161266,1.8831223075264
-c35,442.9824,1550.099,426.5549,652.9992,41.518080,925.6073,82.574848,41.518080,857.91333,883.36663,208.37216,21.220352,210.33129,0.922624,1.04789,6347.028084,1.49746021011209
-c36,442.9824,1610.85,426.5549,652.9992,333.7788,544.1687,971.2723,41.518080,527.54432,883.36663,21.220352,206.54856,21.220352,0.922624,1.669613,6686.616831,1.42140969881739
-c37,442.9824,1550.099,426.5549,1159.5933,558.563,82.574848,82.574848,290.68457,83.036160,83.036160,208.37216,344.22248,21.220352,0.922624,0.018020,5334.454822,1.78170446596193
-c38,352.4661,1550.099,426.5549,1159.5933,333.7788,82.574848,82.574848,290.68457,83.036160,83.036160,208.37216,344.22248,21.220352,0.922624,1.04789,5020.184192,1.89324168300872
-c39,352.4661,1550.099,701.7255,652.9992,41.518080,82.574848,971.2723,490.07014,83.036160,543.5573,21.220352,344.22248,21.220352,12.419968,1.04789,5869.44967,1.61930377300085
-c40,442.9824,1550.099,701.7255,652.9992,333.7788,82.574848,82.574848,490.07014,83.036160,83.036160,208.37216,21.220352,210.33129,0.922624,0.018020,4943.741502,1.92251596526707
-c41,352.4661,1550.099,426.5549,1159.5933,558.563,544.1687,590.3019,41.518080,83.036160,543.5573,208.37216,206.54856,21.220352,0.922624,1.669613,6288.591749,1.51137526273253
-c42,442.9824,1550.099,426.5549,1159.5933,333.7788,82.574848,82.574848,290.68457,83.036160,83.036160,208.37216,344.22248,210.33129,0.922624,1.04789,5299.81143,1.79335097185994
-c43,352.4661,1550.099,426.5549,1159.5933,41.518080,82.574848,590.3019,290.68457,83.036160,883.36663,208.37216,344.22248,21.220352,12.419968,1.669613,6048.100061,1.57147234751293
-c44,352.4661,1550.099,426.5549,1159.5933,333.7788,82.574848,590.3019,290.68457,83.036160,83.036160,21.220352,21.220352,21.220352,0.922624,1.669613,5018.379031,1.8939227009152
-c45,352.4661,1610.85,426.5549,1159.5933,333.7788,82.574848,82.574848,290.68457,83.036160,543.5573,21.220352,21.220352,21.220352,0.922624,1.669613,5031.924119,1.88882458168037
-c46,352.4661,1550.099,426.5549,82.574848,558.563,82.574848,590.3019,490.07014,527.54432,543.5573,208.37216,344.22248,21.220352,0.922624,1.669613,5780.713585,1.64416068255766
-c47,442.9824,1550.099,426.5549,652.9992,558.563,82.574848,82.574848,490.07014,83.036160,543.5573,344.11179,206.54856,210.33129,0.922624,0.018020,5674.94408,1.67480451904639
-c48,352.4661,1550.099,426.5549,1159.5933,558.563,82.574848,590.3019,290.68457,83.036160,83.036160,208.37216,21.220352,21.220352,0.922624,0.018020,5428.663446,1.75078489898368
-c49,442.9824,1550.099,426.5549,1159.5933,333.7788,82.574848,82.574848,490.07014,857.91333,83.036160,208.37216,21.220352,210.33129,7.640322,1.669613,5958.411463,1.595126831624
-c50,352.4661,1610.85,426.5549,1159.5933,41.518080,925.6073,590.3019,290.68457,83.036160,83.036160,208.37216,344.22248,21.220352,0.922624,1.669613,6140.055699,1.54793742420841
-c51,352.4661,1610.85,426.5549,1159.5933,558.563,82.574848,590.3019,290.68457,83.036160,83.036160,208.37216,344.22248,21.220352,7.640322,1.669613,5820.785865,1.63284171848088
-c16,3959.078244
-
-Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,1108.984,7471.505,3792.343,6973.454,3475.891,6007.756,6530.41,3324.8076,6053.9348,6493.6098,2479.9481,2376.5679,2353.8847,69.37799,1.812953,58514.286843,0.999999998291016
-c1,1108.984,472.88204,1949.97,7209.476,3475.891,272.76268,6530.41,1732.6793,3203.344,3427.0759,1299.926,69.928921,80.061262,69.37799,16.49564,30919.264733,1.89248635629098
-c2,1108.984,472.88204,1949.97,7209.476,3475.891,313.098433,3366.9575,1683.0934,357.330128,277.897139,1299.926,2388.8133,1319.7884,3.135222,10.00372,25237.246282,2.31856859331271
-c3,1108.984,472.88204,1949.97,7209.476,3475.891,272.76268,3366.9575,1683.0934,6117.8413,3521.5484,1299.926,2388.8133,89.882488,3.135222,10.00372,32971.16705,1.77471081253488
-c4,1145.5648,472.88204,1949.97,7209.476,179.180675,352.195669,3366.9575,1683.0934,357.330128,3427.0759,1299.926,89.882488,80.061262,3.135222,10.00372,21626.734804,2.70564591015435
-c5,1145.5648,6358.145,3996.263,375.615141,179.180675,352.195669,6530.41,1732.6793,277.897139,277.897139,80.061262,1273.3007,2365.9264,2.570366,0.543719,24948.25031,2.34542646804386
-c6,1108.984,7471.505,2073.98,7209.476,1802.5061,3053.2545,3366.9575,171.815177,277.897139,318.232892,89.882488,89.882488,89.882488,57.16078,10.00372,27191.420272,2.15193932654045
-c7,1108.984,472.88204,1949.97,7209.476,159.632057,272.76268,6530.41,1732.6793,357.330128,3427.0759,1299.926,2388.8133,80.061262,3.135222,0.543719,26993.681608,2.16770307496285
-c8,1108.984,7471.505,2073.98,375.615141,179.180675,6007.756,6530.41,3324.8076,357.330128,357.330128,1299.926,80.061262,69.928921,69.37799,0.543719,29306.736564,1.99661557388197
-c9,1108.984,472.88204,1949.97,7209.476,179.180675,313.098433,3366.9575,1683.0934,357.330128,3427.0759,1299.926,2388.8133,80.061262,2.570366,10.00372,23849.422724,2.45348859277702
-c10,1108.984,472.88204,1949.97,7209.476,179.180675,313.098433,3366.9575,1683.0934,357.330128,3427.0759,1299.926,2388.8133,80.061262,3.135222,10.00372,23849.98758,2.45343048508443
-c11,1108.984,472.88204,1949.97,7209.476,159.632057,6007.756,3519.4585,1683.0934,3203.344,277.897139,1299.926,2388.8133,80.061262,3.135222,10.00372,29374.43264,1.99201419005853
-c12,1108.984,7471.505,2073.98,7209.476,139.46418,272.76268,3366.9575,171.815177,357.330128,3427.0759,2492.7759,2376.5679,2353.8847,3.135222,10.00372,32835.718007,1.78203158683244
-c13,1108.984,7471.505,2073.98,375.615141,159.632057,6007.756,3519.4585,3383.8134,357.330128,3427.0759,69.928921,2376.5679,80.061262,3.135222,10.00372,30424.847151,1.92324011884979
-c14,1108.984,6756.043,3996.263,3610.731,1731.6018,6130.47,6530.41,132.098682,318.232892,318.232892,1299.926,80.061262,69.928921,2.857198,0.538289,32086.378936,1.82364880678336
-c15,1145.5648,6358.145,3996.263,3610.731,139.46418,6007.756,352.195669,3324.8076,357.330128,3427.0759,89.882488,80.061262,69.928921,3.135222,0.538289,28962.879459,2.0203200694807
-c16,1108.984,6756.043,1949.97,3356.913,139.46418,313.098433,352.195669,1683.0934,357.330128,277.897139,1299.926,80.061262,69.928921,2.570366,1.812953,17749.288451,3.29671167804094
-c17,1145.5648,6358.145,3996.263,3610.731,3586.141,3197.8545,272.76268,132.098682,3203.344,6559.316,80.061262,1273.3007,80.061262,2.570366,10.00372,33508.217972,1.7462667431992
-c18,1108.984,472.88204,1949.97,7209.476,179.180675,272.76268,3366.9575,1683.0934,3203.344,3427.0759,1299.926,1273.3007,80.061262,3.135222,0.538289,25530.687668,2.29191972322584
-c19,1108.984,6756.043,1949.97,3356.913,3586.141,3197.8545,352.195669,3324.8076,277.897139,3427.0759,1299.926,80.061262,80.061262,57.16078,0.532687,28855.623799,2.02782955058642
-c20,1108.984,6756.043,1949.97,7209.476,179.180675,6007.756,352.195669,3324.8076,357.330128,6493.6098,80.061262,89.882488,80.061262,2.570366,10.00372,34001.93197,1.72091064479913
-c21,1108.984,6756.043,3996.263,3610.731,3586.141,3197.8545,272.76268,171.815177,357.330128,6493.6098,80.061262,1273.3007,2365.9264,2.857198,0.538289,33274.218134,1.75854730625074
-c22,1108.984,7471.505,2073.98,296.182152,159.632057,272.76268,3366.9575,1683.0934,357.330128,3427.0759,1299.926,2388.8133,80.061262,2.570366,10.00372,23998.877465,2.43820931560305
-c23,1145.5648,6358.145,1949.97,7209.476,1802.5061,3053.2545,352.195669,171.815177,3203.344,3427.0759,1299.926,69.928921,80.061262,69.37799,16.49564,30209.136959,1.93697313262271
-c24,1108.984,6756.043,1949.97,7209.476,1802.5061,3053.2545,352.195669,171.815177,277.897139,3427.0759,1299.926,80.061262,80.061262,69.37799,0.532687,27639.176686,2.11707777319327
-c25,1145.5648,6358.145,1949.97,3356.913,159.632057,272.76268,352.195669,1683.0934,357.330128,277.897139,1299.926,1273.3007,1286.6509,57.16078,1.8312957,19832.3735487,2.95044294139928
-c26,1108.984,6756.043,1949.97,3356.913,1731.6018,6130.47,272.76268,152.266559,3203.344,3427.0759,1299.926,2388.8133,80.061262,2.857198,10.00372,31871.092419,1.83596739923856
-c27,1108.984,6756.043,1949.97,3356.913,1731.6018,6130.47,272.76268,152.266559,3203.344,3427.0759,1299.926,2388.8133,89.882488,69.37799,16.49564,31953.926357,1.83120803390913
-c28,1108.984,6756.043,1949.97,7209.476,3475.891,3197.8545,352.195669,171.815177,3203.344,3427.0759,1299.926,80.061262,80.061262,69.37799,0.543719,32382.619479,1.80696582314009
-c29,1108.984,6756.043,1949.97,3356.913,1731.6018,6130.47,272.76268,171.815177,3203.344,3427.0759,1299.926,2388.8133,80.061262,2.857198,10.00372,31890.641037,1.83484197108571
-c30,1108.984,7471.505,3792.343,3610.731,179.180675,352.195669,3366.9575,1683.0934,357.330128,357.330128,89.882488,2376.5679,80.061262,3.135222,0.532687,24829.830059,2.35661244834534
-c31,1145.5648,7908.45,3792.343,375.615141,3475.891,3197.8545,6654.867,3324.8076,6053.9348,318.232892,2479.9481,89.882488,1286.6509,3.135222,0.538289,40107.715732,1.45892842883649
-c32,1145.5648,7908.45,3792.343,375.615141,1731.6018,272.76268,3366.9575,3383.8134,3293.4507,277.897139,1299.926,80.061262,80.061262,3.135222,0.543719,27012.183625,2.16621830499563
-c33,1145.5648,7908.45,2073.98,375.615141,3475.891,3197.8545,6654.867,3324.8076,6053.9348,318.232892,2479.9481,89.882488,1286.6509,3.135222,0.538289,38389.352732,1.52423217705886
-c34,1108.984,6756.043,1949.97,3356.913,159.632057,272.76268,6530.41,3324.8076,357.330128,357.330128,1299.926,89.882488,89.882488,2.857198,1.812953,25658.54372,2.28049912939292
-c35,1145.5648,7908.45,2073.98,3356.913,139.46418,6007.756,272.76268,152.266559,6053.9348,6493.6098,1337.2918,80.061262,1286.6509,2.570366,1.812953,36313.0891,1.61138278599002
-c36,1145.5648,6358.145,1949.97,3356.913,1731.6018,3053.2545,6654.867,132.098682,3203.344,6559.316,80.061262,1273.3007,89.882488,2.857198,10.00372,35601.18015,1.64360525218823
-c37,1145.5648,7908.45,2073.98,7209.476,3475.891,313.098433,313.098433,1683.0934,357.330128,277.897139,1299.926,2388.8133,80.061262,3.135222,0.532687,28530.347804,2.05094894180369
-c38,1108.984,7471.505,2073.98,7209.476,1802.5061,352.195669,352.195669,1683.0934,318.232892,357.330128,1299.926,2388.8133,89.882488,2.570366,1.812953,26512.503965,2.20704489849552
-c39,1108.984,7471.505,3792.343,3610.731,159.632057,272.76268,6530.41,3324.8076,318.232892,3427.0759,80.061262,2376.5679,80.061262,69.37799,1.812953,32624.365496,1.79357623586018
-c40,1145.5648,7908.45,3792.343,3610.731,1731.6018,313.098433,313.098433,3324.8076,357.330128,357.330128,1299.926,69.928921,1286.6509,2.857198,0.543719,25514.26206,2.29339521856665
-c41,1108.984,7471.505,2073.98,7209.476,3475.891,3197.8545,3366.9575,171.815177,357.330128,3427.0759,1299.926,1273.3007,69.928921,3.135222,10.00372,34517.163768,1.6952229061104
-c42,1145.5648,7908.45,2073.98,7209.476,1802.5061,313.098433,313.098433,1683.0934,357.330128,357.330128,1299.926,2388.8133,1319.7884,3.135222,1.812953,28177.403297,2.07663871715127
-c43,1108.984,7471.505,2073.98,7209.476,179.180675,272.76268,3366.9575,1683.0934,357.330128,6493.6098,1337.2918,2388.8133,80.061262,69.37799,16.49564,34108.919175,1.71551277750063
-c44,1108.984,7471.505,2073.98,7209.476,1802.5061,352.195669,3366.9575,1683.0934,318.232892,357.330128,89.882488,89.882488,89.882488,3.135222,10.00372,26027.047095,2.2482107326505
-c45,1108.984,6756.043,1949.97,7209.476,1802.5061,352.195669,313.098433,1683.0934,357.330128,3427.0759,89.882488,80.061262,80.061262,3.135222,10.00372,25222.916584,2.31988582351851
-c46,1108.984,7471.505,2073.98,336.517905,3475.891,272.76268,3366.9575,3383.8134,3293.4507,3427.0759,1299.926,2388.8133,80.061262,3.135222,10.00372,31992.877589,1.82897854365626
-c47,1145.5648,7908.45,2073.98,3356.913,3586.141,352.195669,272.76268,3324.8076,357.330128,3427.0759,2492.7759,1307.6007,1286.6509,2.857198,0.538289,30895.643764,1.89393323863309
-c48,1108.984,7471.505,2073.98,7209.476,3475.891,272.76268,3366.9575,1683.0934,357.330128,318.232892,1299.926,89.882488,80.061262,3.135222,0.538289,28811.755861,2.03091706462479
-c49,1145.5648,7908.45,2073.98,7209.476,1802.5061,313.098433,313.098433,3324.8076,6053.9348,357.330128,1299.926,69.928921,1286.6509,57.16078,10.00372,33225.916615,1.76110375960172
-c50,1108.984,6756.043,1949.97,7209.476,159.632057,6007.756,3519.4585,1683.0934,357.330128,357.330128,1299.926,2388.8133,80.061262,3.135222,10.00372,32891.012717,1.77903572530781
-c51,1108.984,6756.043,1949.97,7209.476,3475.891,272.76268,3366.9575,1683.0934,357.330128,357.330128,1299.926,2388.8133,80.061262,57.16078,10.00372,30373.802898,1.92647219206804
-c16,17749.288451
-
-Leakage Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,188.762345,0,0,0,151.959867,0,0,0,0,0,38.454652,38.454652,0,0,417.631516,0
-c2,0,188.762345,0,0,0,151.959867,0,0,153.127903,153.127903,0,0,0,1.156348,0,648.134366,0
-c3,0,188.762345,0,0,0,151.959867,0,0,0,0,0,0,38.454652,1.156348,0,380.333212,0
-c4,0,188.762345,0,0,76.708720,151.959867,0,0,153.127903,0,0,38.454652,38.454652,1.156348,0,648.624487,0
-c5,0,0,0,157.595858,76.708720,151.959867,0,0,153.127903,153.127903,38.454652,0,0,1.156348,0.102999,732.23425,0
-c6,0,0,0,0,0,0,0,74.930729,153.127903,153.127903,38.454652,38.454652,38.454652,0,0,496.550491,0
-c7,0,188.762345,0,0,76.708720,151.959867,0,0,153.127903,0,0,0,38.454652,1.156348,0.102999,610.272834,0
-c8,0,0,0,157.595858,76.708720,0,0,0,153.127903,153.127903,0,38.454652,38.454652,0,0.102999,617.572687,0
-c9,0,188.762345,0,0,76.708720,151.959867,0,0,153.127903,0,0,0,38.454652,1.156348,0,610.169835,0
-c10,0,188.762345,0,0,76.708720,151.959867,0,0,153.127903,0,0,0,38.454652,1.156348,0,610.169835,0
-c11,0,188.762345,0,0,76.708720,0,0,0,0,153.127903,0,0,38.454652,1.156348,0,458.209968,0
-c12,0,0,0,0,76.708720,151.959867,0,74.930729,153.127903,0,0,0,0,1.156348,0,457.883567,0
-c13,0,0,0,157.595858,76.708720,0,0,0,153.127903,0,38.454652,0,38.454652,1.156348,0,465.498133,0
-c14,0,0,0,0,0,0,0,74.930729,153.127903,153.127903,0,38.454652,38.454652,1.156348,0.102999,459.355186,0
-c15,0,0,0,0,76.708720,0,151.959867,0,153.127903,0,38.454652,38.454652,38.454652,1.156348,0.102999,498.419793,0
-c16,0,0,0,0,76.708720,151.959867,151.959867,0,153.127903,153.127903,0,38.454652,38.454652,1.156348,0,764.949912,0
-c17,0,0,0,0,0,0,151.959867,74.930729,0,0,38.454652,0,38.454652,1.156348,0,304.956248,0
-c18,0,188.762345,0,0,76.708720,151.959867,0,0,0,0,0,0,38.454652,1.156348,0.102999,457.144931,0
-c19,0,0,0,0,0,0,151.959867,0,153.127903,0,0,38.454652,38.454652,0,0.102999,382.100073,0
-c20,0,0,0,0,76.708720,0,151.959867,0,153.127903,0,38.454652,38.454652,38.454652,1.156348,0,498.316794,0
-c21,0,0,0,0,0,0,151.959867,74.930729,153.127903,0,38.454652,0,0,1.156348,0.102999,419.732498,0
-c22,0,0,0,157.595858,76.708720,151.959867,0,0,153.127903,0,0,0,38.454652,1.156348,0,579.003348,0
-c23,0,0,0,0,0,0,151.959867,74.930729,0,0,0,38.454652,38.454652,0,0,303.7999,0
-c24,0,0,0,0,0,0,151.959867,74.930729,153.127903,0,0,38.454652,38.454652,0,0.102999,457.030802,0
-c25,0,0,0,0,76.708720,151.959867,151.959867,0,153.127903,153.127903,0,0,0,0,0,686.88426,0
-c26,0,0,0,0,0,0,151.959867,74.930729,0,0,0,0,38.454652,1.156348,0,266.501596,0
-c27,0,0,0,0,0,0,151.959867,74.930729,0,0,0,0,38.454652,0,0,265.345248,0
-c28,0,0,0,0,0,0,151.959867,74.930729,0,0,0,38.454652,38.454652,0,0.102999,303.902899,0
-c29,0,0,0,0,0,0,151.959867,74.930729,0,0,0,0,38.454652,1.156348,0,266.501596,0
-c30,0,0,0,0,76.708720,151.959867,0,0,153.127903,153.127903,38.454652,0,38.454652,1.156348,0.102999,613.093044,0
-c31,0,0,0,157.595858,0,0,0,0,0,153.127903,0,38.454652,0,1.156348,0.102999,350.43776,0
-c32,0,0,0,157.595858,0,151.959867,0,0,0,153.127903,0,38.454652,38.454652,1.156348,0.102999,540.852279,0
-c33,0,0,0,157.595858,0,0,0,0,0,153.127903,0,38.454652,0,1.156348,0.102999,350.43776,0
-c34,0,0,0,0,76.708720,151.959867,0,0,153.127903,153.127903,0,38.454652,38.454652,1.156348,0,612.990045,0
-c35,0,0,0,0,76.708720,0,151.959867,74.930729,0,0,0,38.454652,0,1.156348,0,343.210316,0
-c36,0,0,0,0,0,0,0,74.930729,0,0,38.454652,0,38.454652,1.156348,0,152.996381,0
-c37,0,0,0,0,0,151.959867,151.959867,0,153.127903,153.127903,0,0,38.454652,1.156348,0.102999,649.889539,0
-c38,0,0,0,0,0,151.959867,151.959867,0,153.127903,153.127903,0,0,38.454652,1.156348,0,649.78654,0
-c39,0,0,0,0,76.708720,151.959867,0,0,153.127903,0,38.454652,0,38.454652,0,0,458.705794,0
-c40,0,0,0,0,0,151.959867,151.959867,0,153.127903,153.127903,0,38.454652,0,1.156348,0.102999,649.889539,0
-c41,0,0,0,0,0,0,0,74.930729,153.127903,0,0,0,38.454652,1.156348,0,267.669632,0
-c42,0,0,0,0,0,151.959867,151.959867,0,153.127903,153.127903,0,0,0,1.156348,0,611.331888,0
-c43,0,0,0,0,76.708720,151.959867,0,0,153.127903,0,0,0,38.454652,0,0,420.251142,0
-c44,0,0,0,0,0,151.959867,0,0,153.127903,153.127903,38.454652,38.454652,38.454652,1.156348,0,574.735977,0
-c45,0,0,0,0,0,151.959867,151.959867,0,153.127903,0,38.454652,38.454652,38.454652,1.156348,0,573.567941,0
-c46,0,0,0,157.595858,0,151.959867,0,0,0,0,0,0,38.454652,1.156348,0,349.166725,0
-c47,0,0,0,0,0,151.959867,151.959867,0,153.127903,0,0,0,0,1.156348,0.102999,458.306984,0
-c48,0,0,0,0,0,151.959867,0,0,153.127903,153.127903,0,38.454652,38.454652,1.156348,0.102999,536.384324,0
-c49,0,0,0,0,0,151.959867,151.959867,0,0,153.127903,0,38.454652,0,0,0,495.502289,0
-c50,0,0,0,0,76.708720,0,0,0,153.127903,153.127903,0,0,38.454652,1.156348,0,422.575526,0
-c51,0,0,0,0,0,151.959867,0,0,153.127903,153.127903,0,0,38.454652,0,0,496.670325,0
-c0,0
-
-Memory Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,109.549158,0,0,0,43.122319,0,0,0,0,0,11.960929,11.960929,0,0,176.593335,0
-c2,0,109.549158,0,0,0,43.122319,0,0,47.088742,47.088742,0,0,0,0.861623,0,247.710584,0
-c3,0,109.549158,0,0,0,43.122319,0,0,0,0,0,0,11.960929,0.861623,0,165.494029,0
-c4,0,109.549158,0,0,23.915213,43.122319,0,0,47.088742,0,0,11.960929,11.960929,0.861623,0,248.458913,0
-c5,0,0,0,60.905800,23.915213,43.122319,0,0,47.088742,47.088742,11.960929,0,0,0.861623,0.418899,235.362267,0
-c6,0,0,0,0,0,0,0,18.327706,47.088742,47.088742,11.960929,11.960929,11.960929,0,0,148.387977,0
-c7,0,109.549158,0,0,23.915213,43.122319,0,0,47.088742,0,0,0,11.960929,0.861623,0.418899,236.916883,0
-c8,0,0,0,60.905800,23.915213,0,0,0,47.088742,47.088742,0,11.960929,11.960929,0,0.418899,203.339254,0
-c9,0,109.549158,0,0,23.915213,43.122319,0,0,47.088742,0,0,0,11.960929,0.861623,0,236.497984,0
-c10,0,109.549158,0,0,23.915213,43.122319,0,0,47.088742,0,0,0,11.960929,0.861623,0,236.497984,0
-c11,0,109.549158,0,0,23.915213,0,0,0,0,47.088742,0,0,11.960929,0.861623,0,193.375665,0
-c12,0,0,0,0,23.915213,43.122319,0,18.327706,47.088742,0,0,0,0,0.861623,0,133.315603,0
-c13,0,0,0,60.905800,23.915213,0,0,0,47.088742,0,11.960929,0,11.960929,0.861623,0,156.693236,0
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-c3,0,0,0,236.022,0,0,0,0,63.9065,94.4725,0,12.2454,0,0,0,406.6464,0
-c4,16.0868,0,0,236.022,0,0,0,0,0,0,0,0,0,0,0,252.1088,0
-c5,16.0868,0,203.92,0,0,0,0,49.5859,0,0,0,0,12.0417,0,0,281.6344,0
-c6,0,0,124.01,236.022,70.9043,0,0,0,0,0,0,0,0,0,0,430.9363,0
-c7,0,0,0,236.022,0,0,0,49.5859,0,0,0,12.2454,0,0,0,297.8533,0
-c8,0,0,124.01,0,0,0,0,0,0,0,0,0,0,0,0,124.01,0
-c9,0,0,0,236.022,0,0,0,0,0,0,0,12.2454,0,0,0,248.2674,0
-c10,0,0,0,236.022,0,0,0,0,0,0,0,12.2454,0,0,0,248.2674,0
-c11,0,0,0,236.022,0,0,152.501,0,0,0,0,12.2454,0,0,0,400.7684,0
-c12,0,0,124.01,236.022,0,0,0,0,0,0,12.8278,0,0,0,0,372.8598,0
-c13,0,0,124.01,0,0,0,152.501,59.0058,0,0,0,0,0,0,0,335.5168,0
-c14,0,397.898,203.92,253.818,0,122.714,0,0,0,0,0,0,0,0,0,978.35,0
-c15,16.0868,0,203.92,253.818,0,0,0,0,0,0,0,0,0,0,0,473.8248,0
-c16,0,397.898,0,0,0,0,0,0,0,0,0,0,0,0,0,397.898,0
-c17,16.0868,0,203.92,253.818,110.25,144.6,0,0,0,65.7062,0,0,0,0,0,794.381,0
-c18,0,0,0,236.022,0,0,0,0,0,0,0,0,0,0,0,236.022,0
-c19,0,397.898,0,0,110.25,144.6,0,0,0,0,0,0,0,0,0,652.748,0
-c20,0,397.898,0,236.022,0,0,0,0,0,0,0,0,0,0,0,633.92,0
-c21,0,397.898,203.92,253.818,110.25,144.6,0,0,0,0,0,0,12.0417,0,0,1122.5277,0
-c22,0,0,124.01,0,0,0,0,0,0,0,0,12.2454,0,0,0,136.2554,0
-c23,16.0868,0,0,236.022,70.9043,0,0,0,0,0,0,0,0,0,6.49192,329.50502,0
-c24,0,397.898,0,236.022,70.9043,0,0,0,0,0,0,0,0,0,0,704.8243,0
-c25,16.0868,0,0,0,0,0,0,0,0,0,0,0,0,0,0.0183427,16.1051427,0
-c26,0,397.898,0,0,0,122.714,0,0,0,0,0,12.2454,0,0,0,532.8574,0
-c27,0,397.898,0,0,0,122.714,0,0,0,0,0,12.2454,0,0,6.49192,539.34932,0
-c28,0,397.898,0,236.022,0,144.6,0,0,0,0,0,0,0,0,0,778.52,0
-c29,0,397.898,0,0,0,122.714,0,0,0,0,0,12.2454,0,0,0,532.8574,0
-c30,0,0,0,253.818,0,0,0,0,0,0,0,0,0,0,0,253.818,0
-c31,16.0868,436.945,0,0,0,144.6,124.457,0,0,0,0,0,0,0,0,722.0888,0
-c32,16.0868,436.945,0,0,0,0,0,59.0058,90.1067,0,0,0,0,0,0,602.1443,0
-c33,16.0868,436.945,124.01,0,0,144.6,124.457,0,0,0,0,0,0,0,0,846.0988,0
-c34,0,397.898,0,0,0,0,0,0,0,0,0,0,0,0,0,397.898,0
-c35,16.0868,436.945,124.01,0,0,0,0,0,0,0,37.3658,0,0,0,0,614.4076,0
-c36,16.0868,0,0,0,0,0,124.457,0,0,65.7062,0,0,0,0,0,206.25,0
-c37,16.0868,436.945,124.01,236.022,0,0,0,0,0,0,0,12.2454,0,0,0,825.3092,0
-c38,0,0,124.01,236.022,70.9043,0,0,0,0,0,0,12.2454,0,0,0,443.1817,0
-c39,0,0,0,253.818,0,0,0,0,0,0,0,0,0,0,0,253.818,0
-c40,16.0868,436.945,0,253.818,0,0,0,0,0,0,0,0,0,0,0,706.8498,0
-c41,0,0,124.01,236.022,0,144.6,0,0,0,0,0,0,0,0,0,504.632,0
-c42,16.0868,436.945,124.01,236.022,70.9043,0,0,0,0,0,0,12.2454,33.1375,0,0,929.351,0
-c43,0,0,124.01,236.022,0,0,0,0,0,0,37.3658,12.2454,0,0,6.49192,416.13512,0
-c44,0,0,124.01,236.022,70.9043,0,0,0,0,0,0,0,0,0,0,430.9363,0
-c45,0,397.898,0,236.022,70.9043,0,0,0,0,0,0,0,0,0,0,704.8243,0
-c46,0,0,124.01,0,0,0,0,59.0058,90.1067,0,0,12.2454,0,0,0,285.3679,0
-c47,16.0868,436.945,124.01,0,110.25,0,0,0,0,0,12.8278,34.3,0,0,0,734.4196,0
-c48,0,0,124.01,236.022,0,0,0,0,0,0,0,0,0,0,0,360.032,0
-c49,16.0868,436.945,124.01,236.022,70.9043,0,0,0,0,0,0,0,0,0,0,883.9681,0
-c50,0,397.898,0,236.022,0,0,152.501,0,0,0,0,12.2454,0,0,0,798.6664,0
-c51,0,397.898,0,236.022,0,0,0,0,0,0,0,12.2454,0,0,0,646.1654,0
-c0,0
-
-Quantization Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,41.5238,0,0,0,9.68469,0,0,0,0,0,0,1.76803,52.97652,0
-c2,0,0,0,41.5238,0,0,0,0,0,0,0,2.76929,6.20782,0,0,50.50091,0
-c3,0,0,0,41.5238,0,0,0,0,10.5851,16.267,0,2.76929,0,0,0,71.14519,0
-c4,7.62006,0,0,41.5238,0,0,0,0,0,0,0,0,0,0,0,49.14386,0
-c5,7.62006,0,41.6322,0,0,0,0,9.68469,0,0,0,0,2.76826,0,0,61.70521,0
-c6,0,0,28.5399,41.5238,14.8008,0,0,0,0,0,0,0,0,0,0,84.8645,0
-c7,0,0,0,41.5238,0,0,0,9.68469,0,0,0,2.76929,0,0,0,53.97778,0
-c8,0,0,28.5399,0,0,0,0,0,0,0,0,0,0,0,0,28.5399,0
-c9,0,0,0,41.5238,0,0,0,0,0,0,0,2.76929,0,0,0,44.29309,0
-c10,0,0,0,41.5238,0,0,0,0,0,0,0,2.76929,0,0,0,44.29309,0
-c11,0,0,0,41.5238,0,0,28.2053,0,0,0,0,2.76929,0,0,0,72.49839,0
-c12,0,0,28.5399,41.5238,0,0,0,0,0,0,2.77964,0,0,0,0,72.84334,0
-c13,0,0,28.5399,0,0,0,28.2053,10.5597,0,0,0,0,0,0,0,67.3049,0
-c14,0,109.635,41.6322,52.8973,0,20.8654,0,0,0,0,0,0,0,0,0,225.0299,0
-c15,7.62006,0,41.6322,52.8973,0,0,0,0,0,0,0,0,0,0,0,102.14956,0
-c16,0,109.635,0,0,0,0,0,0,0,0,0,0,0,0,0,109.635,0
-c17,7.62006,0,41.6322,52.8973,20.8418,28.103,0,0,0,10.5438,0,0,0,0,0,161.63816,0
-c18,0,0,0,41.5238,0,0,0,0,0,0,0,0,0,0,0,41.5238,0
-c19,0,109.635,0,0,20.8418,28.103,0,0,0,0,0,0,0,0,0,158.5798,0
-c20,0,109.635,0,41.5238,0,0,0,0,0,0,0,0,0,0,0,151.1588,0
-c21,0,109.635,41.6322,52.8973,20.8418,28.103,0,0,0,0,0,0,2.76826,0,0,255.87756,0
-c22,0,0,28.5399,0,0,0,0,0,0,0,0,2.76929,0,0,0,31.30919,0
-c23,7.62006,0,0,41.5238,14.8008,0,0,0,0,0,0,0,0,0,1.76803,65.71269,0
-c24,0,109.635,0,41.5238,14.8008,0,0,0,0,0,0,0,0,0,0,165.9596,0
-c25,7.62006,0,0,0,0,0,0,0,0,0,0,0,0,0,0.133188,7.753248,0
-c26,0,109.635,0,0,0,20.8654,0,0,0,0,0,2.76929,0,0,0,133.26969,0
-c27,0,109.635,0,0,0,20.8654,0,0,0,0,0,2.76929,0,0,1.76803,135.03772,0
-c28,0,109.635,0,41.5238,0,28.103,0,0,0,0,0,0,0,0,0,179.2618,0
-c29,0,109.635,0,0,0,20.8654,0,0,0,0,0,2.76929,0,0,0,133.26969,0
-c30,0,0,0,52.8973,0,0,0,0,0,0,0,0,0,0,0,52.8973,0
-c31,7.62006,83.3307,0,0,0,28.103,20.8436,0,0,0,0,0,0,0,0,139.89736,0
-c32,7.62006,83.3307,0,0,0,0,0,10.5597,16.2347,0,0,0,0,0,0,117.74516,0
-c33,7.62006,83.3307,28.5399,0,0,28.103,20.8436,0,0,0,0,0,0,0,0,168.43726,0
-c34,0,109.635,0,0,0,0,0,0,0,0,0,0,0,0,0,109.635,0
-c35,7.62006,83.3307,28.5399,0,0,0,0,0,0,0,6.79928,0,0,0,0,126.28994,0
-c36,7.62006,0,0,0,0,0,20.8436,0,0,10.5438,0,0,0,0,0,39.00746,0
-c37,7.62006,83.3307,28.5399,41.5238,0,0,0,0,0,0,0,2.76929,0,0,0,163.78375,0
-c38,0,0,28.5399,41.5238,14.8008,0,0,0,0,0,0,2.76929,0,0,0,87.63379,0
-c39,0,0,0,52.8973,0,0,0,0,0,0,0,0,0,0,0,52.8973,0
-c40,7.62006,83.3307,0,52.8973,0,0,0,0,0,0,0,0,0,0,0,143.84806,0
-c41,0,0,28.5399,41.5238,0,28.103,0,0,0,0,0,0,0,0,0,98.1667,0
-c42,7.62006,83.3307,28.5399,41.5238,14.8008,0,0,0,0,0,0,2.76929,6.20782,0,0,184.79237,0
-c43,0,0,28.5399,41.5238,0,0,0,0,0,0,6.79928,2.76929,0,0,1.76803,81.4003,0
-c44,0,0,28.5399,41.5238,14.8008,0,0,0,0,0,0,0,0,0,0,84.8645,0
-c45,0,109.635,0,41.5238,14.8008,0,0,0,0,0,0,0,0,0,0,165.9596,0
-c46,0,0,28.5399,0,0,0,0,10.5597,16.2347,0,0,2.76929,0,0,0,58.10359,0
-c47,7.62006,83.3307,28.5399,0,20.8418,0,0,0,0,0,2.77964,6.35668,0,0,0,149.46878,0
-c48,0,0,28.5399,41.5238,0,0,0,0,0,0,0,0,0,0,0,70.0637,0
-c49,7.62006,83.3307,28.5399,41.5238,14.8008,0,0,0,0,0,0,0,0,0,0,175.81526,0
-c50,0,109.635,0,41.5238,0,0,28.2053,0,0,0,0,2.76929,0,0,0,182.13339,0
-c51,0,109.635,0,41.5238,0,0,0,0,0,0,0,2.76929,0,0,0,153.92809,0
-c0,0
-
-Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,352.4661,1550.099,701.7255,1159.5933,558.563,925.6073,971.2723,490.07014,857.91333,883.36663,344.11179,344.22248,351.94343,12.419968,1.04789,9504.422158,0.999999989478582
-c1,352.4661,123.468921,426.5549,1201.1171,558.563,100.738165,971.2723,300.36926,527.54432,543.5573,208.37216,26.069312,26.069312,12.419968,3.437643,5382.019761,1.765958209644
-c2,352.4661,123.468921,426.5549,1201.1171,558.563,100.738165,590.3019,290.68457,102.069715,102.069715,208.37216,346.99177,216.53911,1.204529,1.669613,4622.811268,2.05598312399062
-c3,352.4661,123.468921,426.5549,1201.1171,558.563,100.738165,590.3019,290.68457,868.49843,559.8243,208.37216,346.99177,26.069312,1.204529,1.669613,5656.52477,1.68025817554657
-c4,450.60246,123.468921,426.5549,1201.1171,51.115816,100.738165,590.3019,290.68457,102.069715,543.5573,208.37216,26.069312,26.069312,1.204529,1.669613,4143.595773,2.29376185547716
-c5,450.60246,1610.85,743.3577,104.457756,51.115816,100.738165,971.2723,300.36926,102.069715,102.069715,26.069312,206.54856,354.71169,1.204529,0.107291,5125.544269,1.85432443341707
-c6,352.4661,1550.099,455.0948,1201.1171,348.5796,544.1687,590.3019,49.948052,102.069715,102.069715,26.069312,26.069312,26.069312,7.640322,1.669613,5383.432553,1.76549476340222
-c7,352.4661,123.468921,426.5549,1201.1171,51.115816,100.738165,971.2723,300.36926,102.069715,543.5573,208.37216,346.99177,26.069312,1.204529,0.107291,4755.474639,1.99862740938429
-c8,352.4661,1550.099,455.0948,104.457756,51.115816,925.6073,971.2723,490.07014,102.069715,102.069715,208.37216,26.069312,26.069312,12.419968,0.107291,5377.360685,1.76748827873189
-c9,352.4661,123.468921,426.5549,1201.1171,51.115816,100.738165,590.3019,290.68457,102.069715,543.5573,208.37216,346.99177,26.069312,1.204529,1.669613,4366.381871,2.17672714414934
-c10,352.4661,123.468921,426.5549,1201.1171,51.115816,100.738165,590.3019,290.68457,102.069715,543.5573,208.37216,346.99177,26.069312,1.204529,1.669613,4366.381871,2.17672714414934
-c11,352.4661,123.468921,426.5549,1201.1171,51.115816,925.6073,618.5072,290.68457,527.54432,102.069715,208.37216,346.99177,26.069312,1.204529,1.669613,5203.443326,1.82656394619558
-c12,352.4661,1550.099,455.0948,1201.1171,51.115816,100.738165,590.3019,49.948052,102.069715,543.5573,346.89143,344.22248,351.94343,1.204529,1.669613,6042.43943,1.57294452196198
-c13,352.4661,1550.099,455.0948,104.457756,51.115816,925.6073,618.5072,500.62984,102.069715,543.5573,26.069312,344.22248,26.069312,1.204529,1.669613,5602.840073,1.6963578943054
-c14,352.4661,1720.485,743.3577,705.8965,333.7788,946.4727,971.2723,49.948052,102.069715,102.069715,208.37216,26.069312,26.069312,1.204529,0.107291,6289.639186,1.51112356779438
-c15,450.60246,1610.85,743.3577,705.8965,51.115816,925.6073,100.738165,490.07014,102.069715,543.5573,26.069312,26.069312,26.069312,1.204529,0.107291,5803.384852,1.63773767148163
-c16,352.4661,1720.485,426.5549,652.9992,51.115816,100.738165,100.738165,290.68457,102.069715,102.069715,208.37216,26.069312,26.069312,1.204529,1.04789,4162.684549,2.28324337763209
-c17,450.60246,1610.85,743.3577,705.8965,579.4048,572.2717,100.738165,49.948052,527.54432,893.91043,26.069312,206.54856,26.069312,1.204529,1.669613,6496.085453,1.46309990539005
-c18,352.4661,123.468921,426.5549,1201.1171,51.115816,100.738165,590.3019,290.68457,527.54432,543.5573,208.37216,206.54856,26.069312,1.204529,0.107291,4649.850944,2.04402723185384
-c19,352.4661,1720.485,426.5549,652.9992,579.4048,572.2717,100.738165,490.07014,102.069715,543.5573,208.37216,26.069312,26.069312,7.640322,0.107291,5808.875417,1.63618967736265
-c20,352.4661,1720.485,426.5549,1201.1171,51.115816,925.6073,100.738165,490.07014,102.069715,883.36663,26.069312,26.069312,26.069312,1.204529,1.669613,6334.672944,1.50038085501544
-c21,352.4661,1720.485,743.3577,705.8965,579.4048,572.2717,100.738165,49.948052,102.069715,883.36663,26.069312,206.54856,354.71169,1.204529,0.107291,6398.645744,1.4853802491526
-c22,352.4661,1550.099,455.0948,104.457756,51.115816,100.738165,590.3019,290.68457,102.069715,543.5573,208.37216,346.99177,26.069312,1.204529,1.669613,4724.892506,2.01156363764345
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-c24,352.4661,1720.485,426.5549,1201.1171,348.5796,544.1687,100.738165,49.948052,102.069715,543.5573,208.37216,26.069312,26.069312,12.419968,0.107291,5662.722675,1.67841911667661
-c25,450.60246,1610.85,426.5549,652.9992,51.115816,100.738165,100.738165,290.68457,102.069715,102.069715,208.37216,206.54856,210.33129,7.640322,1.181078,4522.496116,2.10158764188118
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diff --git a/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_results1.csv b/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_results1.csv
deleted file mode 100644
index a03d6b7ac070f7afab0e1cd4a25ba2bd3913415d..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_results1.csv
+++ /dev/null
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diff --git a/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_results2.csv b/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_results2.csv
deleted file mode 100644
index ef1faa1dec83dc5120ac7f2c1810f0cad3edbb1b..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_results2.csv
+++ /dev/null
@@ -1,187 +0,0 @@
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-c7,1108.984,6358.145,1949.97,3356.913,1731.6018,157.113483,3366.9575,1683.0934,157.113483,157.113483,1299.926,39.466907,39.466907,57.16078,10.00372,21473.029463,2.725013099401
-c8,1108.984,6358.145,1949.97,3356.913,1731.6018,157.113483,3366.9575,1683.0934,157.113483,157.113483,1299.926,1273.3007,39.466907,57.16078,10.00372,22706.863256,2.57694274746839
-c9,1108.984,6358.145,1949.97,3356.913,1731.6018,3053.2545,3366.9575,78.556742,3203.344,157.113483,1299.926,1273.3007,39.466907,57.16078,10.00372,27044.698132,2.16361396755259
-c10,1108.984,6358.145,1949.97,157.113483,1731.6018,3053.2545,3366.9575,59.008124,118.016247,157.113483,1299.926,39.466907,29.645681,57.16078,10.00372,19496.367225,3.0012917723379
-c11,1108.984,6358.145,1949.97,3356.913,1731.6018,157.113483,3366.9575,1683.0934,157.113483,157.113483,1299.926,39.466907,39.466907,57.16078,10.00372,21473.029463,2.725013099401
-c12,1108.984,6358.145,1949.97,3356.913,1731.6018,157.113483,3366.9575,1683.0934,157.113483,157.113483,1299.926,1273.3007,39.466907,57.16078,10.00372,22706.863256,2.57694274746839
-c2,19496.367225
-
-Compute Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,352.4661,1550.099,701.7255,1159.5933,558.563,925.6073,971.2723,490.07014,857.91333,883.36663,344.11179,344.22248,351.94343,12.419968,1.04789,9504.422158,0.999999989478582
-c1,352.4661,1610.85,426.5549,652.9992,333.7788,544.1687,590.3019,41.518080,527.54432,83.036160,208.37216,206.54856,21.220352,7.640322,1.669613,5608.669167,1.69459486832672
-c2,352.4661,1610.85,426.5549,82.574848,333.7788,544.1687,590.3019,41.518080,83.036160,83.036160,208.37216,21.220352,21.220352,7.640322,1.669613,4408.408447,2.15597580321087
-c3,352.4661,1610.85,426.5549,652.9992,333.7788,82.574848,590.3019,290.68457,83.036160,83.036160,208.37216,21.220352,21.220352,7.640322,1.669613,4766.405437,1.99404395707003
-c4,352.4661,1610.85,426.5549,652.9992,333.7788,82.574848,590.3019,290.68457,83.036160,83.036160,208.37216,206.54856,21.220352,7.640322,1.669613,4951.733645,1.9194130071305
-c5,352.4661,1610.85,426.5549,652.9992,333.7788,544.1687,590.3019,41.518080,527.54432,83.036160,208.37216,206.54856,21.220352,7.640322,1.669613,5608.669167,1.69459486832672
-c6,352.4661,1610.85,426.5549,82.574848,333.7788,544.1687,590.3019,41.518080,83.036160,83.036160,208.37216,21.220352,21.220352,7.640322,1.669613,4408.408447,2.15597580321087
-c7,352.4661,1610.85,426.5549,652.9992,333.7788,82.574848,590.3019,290.68457,83.036160,83.036160,208.37216,21.220352,21.220352,7.640322,1.669613,4766.405437,1.99404395707003
-c8,352.4661,1610.85,426.5549,652.9992,333.7788,82.574848,590.3019,290.68457,83.036160,83.036160,208.37216,206.54856,21.220352,7.640322,1.669613,4951.733645,1.9194130071305
-c9,352.4661,1610.85,426.5549,652.9992,333.7788,544.1687,590.3019,41.518080,527.54432,83.036160,208.37216,206.54856,21.220352,7.640322,1.669613,5608.669167,1.69459486832672
-c10,352.4661,1610.85,426.5549,82.574848,333.7788,544.1687,590.3019,41.518080,83.036160,83.036160,208.37216,21.220352,21.220352,7.640322,1.669613,4408.408447,2.15597580321087
-c11,352.4661,1610.85,426.5549,652.9992,333.7788,82.574848,590.3019,290.68457,83.036160,83.036160,208.37216,21.220352,21.220352,7.640322,1.669613,4766.405437,1.99404395707003
-c12,352.4661,1610.85,426.5549,652.9992,333.7788,82.574848,590.3019,290.68457,83.036160,83.036160,208.37216,206.54856,21.220352,7.640322,1.669613,4951.733645,1.9194130071305
-c2,4408.408447
-
-Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,1108.984,7471.505,3792.343,6973.454,3475.891,6007.756,6530.41,3324.8076,6053.9348,6493.6098,2479.9481,2376.5679,2353.8847,69.37799,1.812953,58514.286843,0.999999998291016
-c1,1108.984,6756.043,1949.97,3356.913,1731.6018,3053.2545,3366.9575,171.815177,3203.344,357.330128,1299.926,1273.3007,89.882488,57.16078,10.00372,27786.486793,2.10585408181777
-c2,1108.984,6756.043,1949.97,375.615141,1731.6018,3053.2545,3366.9575,152.266559,318.232892,357.330128,1299.926,89.882488,80.061262,57.16078,10.00372,20707.28977,2.82578199321841
-c3,1108.984,6756.043,1949.97,3356.913,1731.6018,352.195669,3366.9575,1683.0934,357.330128,357.330128,1299.926,89.882488,89.882488,57.16078,10.00372,22567.274101,2.59288234466558
-c4,1108.984,6756.043,1949.97,3356.913,1731.6018,352.195669,3366.9575,1683.0934,357.330128,357.330128,1299.926,1273.3007,89.882488,57.16078,10.00372,23750.692313,2.46368761910167
-c5,1108.984,6756.043,1949.97,3356.913,1731.6018,3053.2545,3366.9575,171.815177,3203.344,357.330128,1299.926,1273.3007,89.882488,57.16078,10.00372,27786.486793,2.10585408181777
-c6,1108.984,6756.043,1949.97,375.615141,1731.6018,3053.2545,3366.9575,152.266559,318.232892,357.330128,1299.926,89.882488,80.061262,57.16078,10.00372,20707.28977,2.82578199321841
-c7,1108.984,6756.043,1949.97,3356.913,1731.6018,352.195669,3366.9575,1683.0934,357.330128,357.330128,1299.926,89.882488,89.882488,57.16078,10.00372,22567.274101,2.59288234466558
-c8,1108.984,6756.043,1949.97,3356.913,1731.6018,352.195669,3366.9575,1683.0934,357.330128,357.330128,1299.926,1273.3007,89.882488,57.16078,10.00372,23750.692313,2.46368761910167
-c9,1108.984,6756.043,1949.97,3356.913,1731.6018,3053.2545,3366.9575,171.815177,3203.344,357.330128,1299.926,1273.3007,89.882488,57.16078,10.00372,27786.486793,2.10585408181777
-c10,1108.984,6756.043,1949.97,375.615141,1731.6018,3053.2545,3366.9575,152.266559,318.232892,357.330128,1299.926,89.882488,80.061262,57.16078,10.00372,20707.28977,2.82578199321841
-c11,1108.984,6756.043,1949.97,3356.913,1731.6018,352.195669,3366.9575,1683.0934,357.330128,357.330128,1299.926,89.882488,89.882488,57.16078,10.00372,22567.274101,2.59288234466558
-c12,1108.984,6756.043,1949.97,3356.913,1731.6018,352.195669,3366.9575,1683.0934,357.330128,357.330128,1299.926,1273.3007,89.882488,57.16078,10.00372,23750.692313,2.46368761910167
-c2,20707.28977
-
-Leakage Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,0,74.930729,0,153.127903,0,0,38.454652,0,0,266.513284,0
-c2,0,0,0,157.595858,0,0,0,74.930729,153.127903,153.127903,0,38.454652,38.454652,0,0,615.691697,0
-c3,0,0,0,0,0,151.959867,0,0,153.127903,153.127903,0,38.454652,38.454652,0,0,535.124977,0
-c4,0,0,0,0,0,151.959867,0,0,153.127903,153.127903,0,0,38.454652,0,0,496.670325,0
-c5,0,0,0,0,0,0,0,74.930729,0,153.127903,0,0,38.454652,0,0,266.513284,0
-c6,0,0,0,157.595858,0,0,0,74.930729,153.127903,153.127903,0,38.454652,38.454652,0,0,615.691697,0
-c7,0,0,0,0,0,151.959867,0,0,153.127903,153.127903,0,38.454652,38.454652,0,0,535.124977,0
-c8,0,0,0,0,0,151.959867,0,0,153.127903,153.127903,0,0,38.454652,0,0,496.670325,0
-c9,0,0,0,0,0,0,0,74.930729,0,153.127903,0,0,38.454652,0,0,266.513284,0
-c10,0,0,0,157.595858,0,0,0,74.930729,153.127903,153.127903,0,38.454652,38.454652,0,0,615.691697,0
-c11,0,0,0,0,0,151.959867,0,0,153.127903,153.127903,0,38.454652,38.454652,0,0,535.124977,0
-c12,0,0,0,0,0,151.959867,0,0,153.127903,153.127903,0,0,38.454652,0,0,496.670325,0
-c0,0
-
-Memory Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,0,18.327706,0,47.088742,0,0,11.960929,0,0,77.377377,0
-c2,0,0,0,60.905800,0,0,0,18.327706,47.088742,47.088742,0,11.960929,11.960929,0,0,197.332848,0
-c3,0,0,0,0,0,43.122319,0,0,47.088742,47.088742,0,11.960929,11.960929,0,0,161.221661,0
-c4,0,0,0,0,0,43.122319,0,0,47.088742,47.088742,0,0,11.960929,0,0,149.260732,0
-c5,0,0,0,0,0,0,0,18.327706,0,47.088742,0,0,11.960929,0,0,77.377377,0
-c6,0,0,0,60.905800,0,0,0,18.327706,47.088742,47.088742,0,11.960929,11.960929,0,0,197.332848,0
-c7,0,0,0,0,0,43.122319,0,0,47.088742,47.088742,0,11.960929,11.960929,0,0,161.221661,0
-c8,0,0,0,0,0,43.122319,0,0,47.088742,47.088742,0,0,11.960929,0,0,149.260732,0
-c9,0,0,0,0,0,0,0,18.327706,0,47.088742,0,0,11.960929,0,0,77.377377,0
-c10,0,0,0,60.905800,0,0,0,18.327706,47.088742,47.088742,0,11.960929,11.960929,0,0,197.332848,0
-c11,0,0,0,0,0,43.122319,0,0,47.088742,47.088742,0,11.960929,11.960929,0,0,161.221661,0
-c12,0,0,0,0,0,43.122319,0,0,47.088742,47.088742,0,0,11.960929,0,0,149.260732,0
-c0,0
-
-Memory Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,0,8.429972,0,19.033555,0,0,4.848960,0,0,32.312487,0
-c2,0,0,0,21.882908,0,0,0,8.429972,19.033555,19.033555,0,4.848960,4.848960,0,0,78.07791,0
-c3,0,0,0,0,0,18.163317,0,0,19.033555,19.033555,0,4.848960,4.848960,0,0,65.928347,0
-c4,0,0,0,0,0,18.163317,0,0,19.033555,19.033555,0,0,4.848960,0,0,61.079387,0
-c5,0,0,0,0,0,0,0,8.429972,0,19.033555,0,0,4.848960,0,0,32.312487,0
-c6,0,0,0,21.882908,0,0,0,8.429972,19.033555,19.033555,0,4.848960,4.848960,0,0,78.07791,0
-c7,0,0,0,0,0,18.163317,0,0,19.033555,19.033555,0,4.848960,4.848960,0,0,65.928347,0
-c8,0,0,0,0,0,18.163317,0,0,19.033555,19.033555,0,0,4.848960,0,0,61.079387,0
-c9,0,0,0,0,0,0,0,8.429972,0,19.033555,0,0,4.848960,0,0,32.312487,0
-c10,0,0,0,21.882908,0,0,0,8.429972,19.033555,19.033555,0,4.848960,4.848960,0,0,78.07791,0
-c11,0,0,0,0,0,18.163317,0,0,19.033555,19.033555,0,4.848960,4.848960,0,0,65.928347,0
-c12,0,0,0,0,0,18.163317,0,0,19.033555,19.033555,0,0,4.848960,0,0,61.079387,0
-c0,0
-
-Patch Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c0,0
-
-Quantization Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,397.898,0,0,0,0,0,0,0,0,0,0,0,0,0,397.898,0
-c2,0,397.898,0,0,0,0,0,0,0,0,0,0,0,0,0,397.898,0
-c3,0,397.898,0,0,0,0,0,0,0,0,0,0,0,0,0,397.898,0
-c4,0,397.898,0,0,0,0,0,0,0,0,0,0,0,0,0,397.898,0
-c5,0,397.898,0,0,0,0,0,0,0,0,0,0,0,0,0,397.898,0
-c6,0,397.898,0,0,0,0,0,0,0,0,0,0,0,0,0,397.898,0
-c7,0,397.898,0,0,0,0,0,0,0,0,0,0,0,0,0,397.898,0
-c8,0,397.898,0,0,0,0,0,0,0,0,0,0,0,0,0,397.898,0
-c9,0,397.898,0,0,0,0,0,0,0,0,0,0,0,0,0,397.898,0
-c10,0,397.898,0,0,0,0,0,0,0,0,0,0,0,0,0,397.898,0
-c11,0,397.898,0,0,0,0,0,0,0,0,0,0,0,0,0,397.898,0
-c12,0,397.898,0,0,0,0,0,0,0,0,0,0,0,0,0,397.898,0
-c0,0
-
-Quantization Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,109.635,0,0,0,0,0,0,0,0,0,0,0,0,0,109.635,0
-c2,0,109.635,0,0,0,0,0,0,0,0,0,0,0,0,0,109.635,0
-c3,0,109.635,0,0,0,0,0,0,0,0,0,0,0,0,0,109.635,0
-c4,0,109.635,0,0,0,0,0,0,0,0,0,0,0,0,0,109.635,0
-c5,0,109.635,0,0,0,0,0,0,0,0,0,0,0,0,0,109.635,0
-c6,0,109.635,0,0,0,0,0,0,0,0,0,0,0,0,0,109.635,0
-c7,0,109.635,0,0,0,0,0,0,0,0,0,0,0,0,0,109.635,0
-c8,0,109.635,0,0,0,0,0,0,0,0,0,0,0,0,0,109.635,0
-c9,0,109.635,0,0,0,0,0,0,0,0,0,0,0,0,0,109.635,0
-c10,0,109.635,0,0,0,0,0,0,0,0,0,0,0,0,0,109.635,0
-c11,0,109.635,0,0,0,0,0,0,0,0,0,0,0,0,0,109.635,0
-c12,0,109.635,0,0,0,0,0,0,0,0,0,0,0,0,0,109.635,0
-c0,0
-
-Time
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,352.4661,1550.099,701.7255,1159.5933,558.563,925.6073,971.2723,490.07014,857.91333,883.36663,344.11179,344.22248,351.94343,12.419968,1.04789,9504.422158,0.999999989478582
-c1,352.4661,1720.485,426.5549,652.9992,333.7788,544.1687,590.3019,49.948052,527.54432,102.069715,208.37216,206.54856,26.069312,7.640322,1.669613,5750.616654,1.65276570576346
-c2,352.4661,1720.485,426.5549,104.457756,333.7788,544.1687,590.3019,49.948052,102.069715,102.069715,208.37216,26.069312,26.069312,7.640322,1.669613,4596.121357,2.06792232253231
-c3,352.4661,1720.485,426.5549,652.9992,333.7788,100.738165,590.3019,290.68457,102.069715,102.069715,208.37216,26.069312,26.069312,7.640322,1.669613,4941.968784,1.92320558487758
-c4,352.4661,1720.485,426.5549,652.9992,333.7788,100.738165,590.3019,290.68457,102.069715,102.069715,208.37216,206.54856,26.069312,7.640322,1.669613,5122.448032,1.8554452701289
-c5,352.4661,1720.485,426.5549,652.9992,333.7788,544.1687,590.3019,49.948052,527.54432,102.069715,208.37216,206.54856,26.069312,7.640322,1.669613,5750.616654,1.65276570576346
-c6,352.4661,1720.485,426.5549,104.457756,333.7788,544.1687,590.3019,49.948052,102.069715,102.069715,208.37216,26.069312,26.069312,7.640322,1.669613,4596.121357,2.06792232253231
-c7,352.4661,1720.485,426.5549,652.9992,333.7788,100.738165,590.3019,290.68457,102.069715,102.069715,208.37216,26.069312,26.069312,7.640322,1.669613,4941.968784,1.92320558487758
-c8,352.4661,1720.485,426.5549,652.9992,333.7788,100.738165,590.3019,290.68457,102.069715,102.069715,208.37216,206.54856,26.069312,7.640322,1.669613,5122.448032,1.8554452701289
-c9,352.4661,1720.485,426.5549,652.9992,333.7788,544.1687,590.3019,49.948052,527.54432,102.069715,208.37216,206.54856,26.069312,7.640322,1.669613,5750.616654,1.65276570576346
-c10,352.4661,1720.485,426.5549,104.457756,333.7788,544.1687,590.3019,49.948052,102.069715,102.069715,208.37216,26.069312,26.069312,7.640322,1.669613,4596.121357,2.06792232253231
-c11,352.4661,1720.485,426.5549,652.9992,333.7788,100.738165,590.3019,290.68457,102.069715,102.069715,208.37216,26.069312,26.069312,7.640322,1.669613,4941.968784,1.92320558487758
-c12,352.4661,1720.485,426.5549,652.9992,333.7788,100.738165,590.3019,290.68457,102.069715,102.069715,208.37216,206.54856,26.069312,7.640322,1.669613,5122.448032,1.8554452701289
-c2,4596.121357
-
-Unpatch Energy
-Configuration,Conv1,Conv2,Conv3,Conv4,Conv5,Conv6,Conv7,Conv8,Conv9,Conv10,Conv11,Conv12,Conv13,FC1,FC2,Total,Improvement
-c0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-c0,0
-
diff --git a/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_tensors.txt b/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_tensors.txt
deleted file mode 100644
index 6c6b42b93c0446c298489429261592fe99e2f81b..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/vgg16_cifar100/vgg16_tensors.txt
+++ /dev/null
@@ -1,64 +0,0 @@
-#Conv1,3
-Conv1,163.415,464.69,310.228,694.841,7.62006,16.0868,83.4767,247.452
-Add1,113.913,376.561,69.7114,211.862,314.261,894.668,83.2799,265.625
-Relu1,75.1381,267.733,63.043,222.775,116.511,379.888,83.4086,300.518
-#Conv2,4
-Conv2,1186.37,5295.79,1399.51,5412.29,109.635,397.898,83.3307,436.945
-Add2,114.041,707.602,69.1905,303.338,336.556,1525.29,83.1178,365.325
-Relu2,74.295,455.493,62.4233,282.215,106.67,463.637,83.0734,372.529
-Pool1,175.393,1012.62,79.7262,360.302,106.496,467.712,20.9488,92.2916
-#Conv3,3
-Conv3,613.82,3267.16,354.47,1585.56,28.5399,124.01,41.6322,203.92
-Add3,51.2818,306.368,40.9358,206.435,52.9835,255.846,41.6412,204.32
-Relu3,36.6237,218.815,31.1491,157.975,53.9219,262.044,41.4745,201.753
-#Conv4,4
-Conv4,982.846,5808.36,543.421,2780.23,52.8973,253.818,41.5238,236.022
-Add4,51.329,344.524,37.6205,200.601,146.069,779.141,41.3499,213.133
-Relu4,36.7139,244.573,31.1126,165.225,52.5946,268.222,41.3761,210.186
-Pool2,88.7044,575.997,40.8451,210.857,52.6109,263.231,10.5892,50.2118
-#Conv5,3
-Conv5,491.91,3047.42,278.988,1427.88,14.8008,70.9043,20.8418,110.25
-Add5,48.2779,312.538,39.1711,216.321,27.4739,144.775,20.8433,109.029
-Relu5,18.3751,115.933,15.6197,87.4008,27.1876,142.132,20.7564,107.244
-#Conv6,3
-Conv6,858.952,5554.16,490.314,2738.69,28.103,144.6,20.8654,122.714
-Add6,48.3038,331.31,38.2773,222.684,78.3804,453.985,20.7551,113.98
-Relu6,18.3515,122.286,15.5774,91.8805,26.9604,148.182,20.7925,111.946
-#Conv7,4
-Conv7,859.425,5760.38,514.632,2922.64,28.2053,152.501,20.8436,124.457
-Add7,48.1751,337.048,38.3104,225.263,81.46,477.128,20.7616,115.225
-Relu7,18.3889,125.084,15.5863,93.2475,27.0202,149.73,20.7296,113.484
-Pool3,45.2833,307.898,21.7732,125.807,27.105,148.004,5.37692,25.667
-#Conv8,3
-Conv8,434.046,2940.43,240.716,1378.49,9.68469,49.5859,10.5597,59.0058
-Add8,46.6813,323.76,42.0846,253.744,14.6636,82.9186,10.5141,57.5583
-Relu8,9.34284,60.6176,7.88397,50.8594,14.4739,80.2487,10.4677,57.0219
-#Conv9,3
-Conv9,801.893,5651.89,477.878,2885.71,16.2347,90.1067,10.5851,63.9065
-Add9,46.6775,338.552,41.8259,265.047,39.8499,247.783,10.4589,60.1816
-Relu9,9.34283,63.4928,7.84042,52.587,14.2726,83.3662,10.4563,59.3499
-#Conv10,4
-Conv10,802.661,5895.34,481.652,3018.22,16.267,94.4725,10.5438,65.7062
-Add10,46.7852,353.064,41.8232,272.933,40.0563,257.396,10.5152,61.7303
-Relu10,9.31493,65.6928,7.8553,54.9037,14.2674,85.1708,10.4698,61.6665
-Pool4,24.6055,179.513,12.2268,81.0192,14.3183,85.3146,2.76689,12.3171
-#Conv11,3
-Conv11,308.859,2238.17,173.774,1077.96,6.79928,37.3658,2.77964,12.8278
-Add11,32.7593,228.974,32.499,205.175,4.84751,25.3885,2.71712,12.3719
-Relu11,2.49349,12.8041,2.09916,16.791,4.48398,23.4935,2.65339,11.6345
-#Conv12,3
-Conv12,308.957,2143.29,172.103,1054.21,6.35668,34.3,2.76929,12.2454
-Add12,32.7648,220.92,32.3458,201.907,4.88662,25.364,2.69777,11.7633
-Relu12,2.50068,12.3579,2.09976,17.1837,4.44727,22.6715,2.64916,11.3108
-#Conv13,4
-Conv13,308.526,2076.4,171.684,1041.08,6.20782,33.1375,2.76826,12.0417
-Add13,32.723,215.055,32.2976,199.983,4.91853,25.4026,2.71496,12.0093
-Relu13,2.48762,12.2284,2.10382,16.7344,4.36041,22.0096,2.72796,11.4339
-Pool5,8.20681,50.2013,4.24587,28.8535,4.30952,21.6535,0.789328,1.12606
-#FC1,3
-Mul1,10.6715,65.8927,5.49296,37.0659,2.18449,8.22985,0.810781,1.37103
-Add14,0.902452,1.91287,0.999932,9.47008,1.88605,7.19323,0.760782,0.960605
-Relu14,0.846016,1.57242,1.14743,10.6248,1.5964,5.26066,0.762322,0.9319
-#FC2,2
-Mul2,0.821147,1.66598,1.31517,8.1931,1.76803,6.49192,0.133188,0.0183427
-Add15,0.226743,0.146973,0.354443,1.81062,0.764484,1.36953,0.120211,0.0438951
diff --git a/hpvm/projects/soc_simulator/vgg16_imagenet/layer_composition.txt b/hpvm/projects/soc_simulator/vgg16_imagenet/layer_composition.txt
deleted file mode 100644
index 13c3c9e2cf89e0226186ed60786fec35dce84c42..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/vgg16_imagenet/layer_composition.txt
+++ /dev/null
@@ -1,16 +0,0 @@
-conv add activation
-conv add activation pool
-conv add activation
-conv add activation pool
-conv add activation
-conv add activation
-conv add activation pool
-conv add activation
-conv add activation
-conv add activation pool
-conv add activation
-conv add activation
-conv add activation pool
-dense add activation
-dense add activation
-dense add
diff --git a/hpvm/projects/soc_simulator/vgg16_imagenet/layers.txt b/hpvm/projects/soc_simulator/vgg16_imagenet/layers.txt
deleted file mode 100644
index cb5f0702ddef804cf3def37b4cca013b566bfd7f..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/vgg16_imagenet/layers.txt
+++ /dev/null
@@ -1,16 +0,0 @@
-Conv1,6000,3,224,224,64,3,3,3
-Conv2,6000,64,224,224,64,64,3,3
-Conv3,6000,64,112,112,128,64,3,3
-Conv4,6000,128,112,112,128,128,3,3
-Conv5,6000,128,56,56,256,128,3,3
-Conv6,6000,256,56,56,256,256,3,3
-Conv7,6000,256,56,56,256,256,3,3
-Conv8,6000,256,28,28,512,256,3,3
-Conv9,6000,512,28,28,512,512,3,3
-Conv10,6000,512,28,28,512,512,3,3
-Conv11,6000,512,14,14,512,512,3,3
-Conv12,6000,512,14,14,512,512,3,3
-Conv13,6000,512,14,14,512,512,3,3
-FC1,6000,25088,25088,4096
-FC2,6000,4096,4096,4096
-FC3,6000,4096,4096,1000
diff --git a/hpvm/projects/soc_simulator/vgg16_imagenet/vgg16_imagenet_layers.txt b/hpvm/projects/soc_simulator/vgg16_imagenet/vgg16_imagenet_layers.txt
deleted file mode 100644
index 227a16d6dc95423b9606732c57ae513e9d37d15c..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/vgg16_imagenet/vgg16_imagenet_layers.txt
+++ /dev/null
@@ -1,16 +0,0 @@
-Conv1,6000,3,224,224,64,3,3,3,1,1
-Conv2,6000,64,224,224,64,64,3,3,1,1
-Conv3,6000,64,112,112,128,64,3,3,1,1
-Conv4,6000,128,112,112,128,128,3,3,1,1
-Conv5,6000,128,56,56,256,128,3,3,1,1
-Conv6,6000,256,56,56,256,256,3,3,1,1
-Conv7,6000,256,56,56,256,256,3,3,1,1
-Conv8,6000,256,28,28,512,256,3,3,1,1
-Conv9,6000,512,28,28,512,512,3,3,1,1
-Conv10,6000,512,28,28,512,512,3,3,1,1
-Conv11,6000,512,14,14,512,512,3,3,1,1
-Conv12,6000,512,14,14,512,512,3,3,1,1
-Conv13,6000,512,14,14,512,512,3,3,1,1
-FC1,6000,25088,25088,4096
-FC2,6000,4096,4096,4096
-FC3,6000,4096,4096,1000
diff --git a/hpvm/projects/soc_simulator/vgg16_imagenet/vgg16_imagenet_ops.txt b/hpvm/projects/soc_simulator/vgg16_imagenet/vgg16_imagenet_ops.txt
deleted file mode 100644
index 95c6f0c5878344f5c2f4e911d75026e2a3b7bc4d..0000000000000000000000000000000000000000
--- a/hpvm/projects/soc_simulator/vgg16_imagenet/vgg16_imagenet_ops.txt
+++ /dev/null
@@ -1,68 +0,0 @@
-#Conv1,3
-Conv1
-Add1
-Relu1
-#Conv2,4
-Conv2
-Add2
-Relu2
-Pool1
-#Conv3,3
-Conv3
-Add3
-Relu3
-#Conv4,4
-Conv4
-Add4
-Relu4
-Pool2
-#Conv5,3
-Conv5
-Add5
-Relu5
-#Conv6,3
-Conv6
-Add6
-Relu6
-#Conv7,4
-Conv7
-Add7
-Relu7
-Pool3
-#Conv8,3
-Conv8
-Add8
-Relu8
-#Conv9,3
-Conv9
-Add9
-Relu9
-#Conv10,4
-Conv10
-Add10
-Relu10
-Pool4
-#Conv11,3
-Conv11
-Add11
-Relu11
-#Conv12,3
-Conv12
-Add12
-Relu12
-#Conv13,4
-Conv13
-Add13
-Relu13
-Pool5
-#FC1,3
-Mul1
-Add14
-Relu14
-#FC2,3
-Mul2
-Add15
-Relu15
-#FC3,2
-Mul3
-Add16
diff --git a/hpvm/projects/torch2hpvm/README.md b/hpvm/projects/torch2hpvm/README.md
index 719abc5e3c2346fd7bc68972ee4f9035af307db1..1f06142f524b34760f1fffc84a5b2a2f07bf23a3 100644
--- a/hpvm/projects/torch2hpvm/README.md
+++ b/hpvm/projects/torch2hpvm/README.md
@@ -1,25 +1,111 @@
-## Importing Conda Environment:
+# PyTorch Frontend for HPVM
-conda env create -f onnx\_environment.yml
+`torch2hpvm` is a PyTorch frontend for HPVM. It provides a set of API that
-## Activate/deactivate Conda Environment
+- Generates a PyTorch `module` into HPVM-C code;
+- Exports a PyTorch dataset to ApproxHPVM dataset format;
+- Compiles the generated code into binary by invoking HPVM automatically.
-conda activate onnx\_frontend
+## Installation
-## Building and Installing Frontend for ONNX:
+`pip` is the recommended package manager (also available within `conda`).
+Using `pip`:
-python setup.py build
+```bash
+pip install -e ./
+```
+
+## Getting Started
+
+Let's look at an example that uses DNNs and weights pre-shipped with HPVM.
+This is found at `hpvm/test/dnn_benchmarks/pytorch/test_frontend.py`.
+*Note* that below we'll be working under directory `hpvm/test/dnn_benchmarks/pytorch`.
-python setup.py install
+We'll be generating ResNet-18 into an HPVM-compiled binary.
+First, prepare 2 datasets for autotuning and testing.
-### How to Run
+```python
+from torch2hpvm import BinDataset
+from pathlib import Path
+
+data_dir = Path(__file__).parent / "../model_params/resnet18_cifar10"
+dataset_shape = 5000, 3, 32, 32
+tuneset = BinDataset(data_dir / "tune_input.bin", data_dir / "tune_labels.bin", dataset_shape)
+testset = BinDataset(data_dir / "test_input.bin", data_dir / "test_labels.bin", dataset_shape)
```
-python main.py
+
+`BinDataset` is a dataset created over files of ApproxHPVM dataset format.
+Any instance `torch.utils.data.Dataset` can be used here.
+
+*Note* that each `module` is bound to 2 datasets: a "tune" and a "test" set.
+The generated binary accepts an argument to be either the string "tune" or "test",
+and performs inference over a dataset accordingly.
+This is because the dataset can contain arbitrary Python code which cannot yet be exported into HPVM-C;
+instead the frontend has to export some predefined datasets for the model to use.
+See TODOs (1).
+
+Create a DNN `module` and load the checkpoint:
+
+```python
+import torch
+from torch.nn import Module
+import dnn # Defined at `hpvm/test/dnn_benchmarks/pytorch`
+
+model: Module = dnn.ResNet18()
+checkpoint = Path(__file__).parent / "../model_params/resnet18_cifar10.pth.tar"
+model.load_state_dict(torch.load(checkpoint))
+```
+
+Any `torch.nn.Module` can be similarly used,
+as long as they only contain the tensor operators supported in HPVM
+(see "Supported Operators" and TODOs (2)).
+
+Now we are ready to export the model. The main functioning class of `torch2hpvm` is `ModelExporter`:
+
+```python
+from torch2hpvm import ModelExporter
+
+output_dir = Path("./resnet18_hpvm")
+build_dir = output_dir / "build"
+target_binary = build_dir / "resnet18"
+batch_size = 500
+conf_file = "" # TODO: points to your configuration file.
+exporter = ModelExporter(model, tuneset, testset, output_dir, config_file=conf_file)
+exporter.generate(batch_size=batch_size).compile(target_binary, build_dir)
```
-Set all your config, e.g. onnx model location, input size and emit directory for generated source code, in **config.py**.
-### Resources
-1. [ONNX overview](https://github.com/onnx/onnx/blob/master/docs/IR.md)
-2. [ONNX operator specs](https://github.com/onnx/onnx/blob/master/docs/Operators.md)
-3. [Conversion between models - available adapters](https://github.com/onnx/onnx/blob/master/onnx/version_converter.py#L21)
-4.
\ No newline at end of file
+`output_dir`, `build_dir`, and `target_binary` define the folder for code generation, compilation,
+and path to the compiled binary respectively.
+`batch_size` is the batch size the binary uses during inference.
+
+*Note* that `conf_file` is the path to an HPVM approximation configuration file.
+This file decides what approximation the binary will use during inference.
+This path is hardcoded into the binary and is only read when the binary starts,
+so it's fine to have `conf_file` point to a non-existing path.
+An example can be found at `test/dnn_benchmarks/hpvm-c/benchmarks/resnet18_cifar10/data/tuner_confs.txt`.
+
+## Supported Operators
+
+Any builtin and custom PyTorch `Module` are supported
+*as long as* the generated ONNX model consists of only the following operators
+when the Module is exported into ONNX:
+
+| Convolution | Linear | Pooling | Pointwise | Other |
+|-------------|--------|-------------------|--------------------|----------|
+| Conv | MatMul | GlobalAveragePool | BatchNormalization | Flatten |
+| | Gemm | AveragePool | Relu | Softmax |
+| | | MaxPool | Tanh | Identity |
+| | | | | Pad |
+| | | | | Add |
+
+This choice of operators is largely constrained by backend (tensor_runtime) supports.
+
+## TODOs
+
+1. Optionally insert a Python-C interface in the generated binary to
+ call back into a Dataset class and read the data.
+ - Needs pybind11, hardcoding of Python environment, and some fiddling with import mechanism.
+1. Expand the list of operators supported in the frontend.
+ - Most ideally, create a high-level description of operators that can tie
+ HPVM-C intrinsics and the frontend list of operators together.
+
diff --git a/hpvm/projects/torch2hpvm/TODO.md b/hpvm/projects/torch2hpvm/TODO.md
deleted file mode 100644
index 1ebb883f79b65b177baa5459b426bb3610f64ac0..0000000000000000000000000000000000000000
--- a/hpvm/projects/torch2hpvm/TODO.md
+++ /dev/null
@@ -1,43 +0,0 @@
-# What kind of models we should use
-ResNet-50 -> as a start?
-BERT
-Mask R-CNN
-
-# Questions from Sudipta
-Graph optimization: operator fusions, data layout transformations
-Vectorization/tensorization
-Automatic scheduling
-Handling dynamic control flow in model graph
-Automatic differentiation
-
-# Operators used in the BERT model available in the ONNX model zoo, organized by type and number of occurences
-
-https://github.com/onnx/models/tree/master/text/machine_comprehension/bert-squad
-(Opset 10 versions)
-
-DATA MANIPULATION
-Unsqueeze 191
-Reshape 71
-Cast 70
-Transpose 62
-Concat 56
-Identity 28
-Squeeze 7
-Slice
-Shape 5
-ConstantOfShape 1
-Gather 1
-OneHot 1
-Split 1
-
-COMPUTATION
-Mul 186
-Add 185
-MatMul 98
-Sub 62
-ReduceMean 50
-Sqrt 25
-Reciprocal 25
-Softmax 12
-Pow 12
-Tanh 12
diff --git a/hpvm/projects/torch2hpvm/setup.py b/hpvm/projects/torch2hpvm/setup.py
index f0cd851e586cf4d35c856ead11915f97c7654901..6d66372c71accf32d74032cbe4088dd700ec36aa 100644
--- a/hpvm/projects/torch2hpvm/setup.py
+++ b/hpvm/projects/torch2hpvm/setup.py
@@ -4,11 +4,16 @@ setup(
name="torch2hpvm",
version="1.0",
description="PyTorch frontend for HPVM",
- author="Yuanjing Shi, Yifan Zhao",
- author_email="ys26@illinois.edu, yifanz16@illinois.edu",
+ author="Yifan Zhao, Yuanjing Shi",
+ author_email="yifanz16@illinois.edu, ys26@illinois.edu",
packages=["torch2hpvm"],
+ package_data={"torch2hpvm": ["*.json", "*.cpp.in"]},
install_requires=[
- "jinja2>=2.11", "networkx>=2.5", "onnx>=1.8.0", "torch", "onnx-simplifier>=0.2.27"
+ "jinja2>=2.11",
+ "networkx>=2.5",
+ "onnx>=1.8.0",
+ # Starting from 1.7.0 PyTorch starts to do some weird optimizations.
+ "torch>=1.4,<=1.6",
+ "onnx-simplifier>=0.2.27",
],
- entry_points={"console_scripts": ["torch2hpvm=torch2hpvm:main"]},
)
diff --git a/hpvm/projects/torch2hpvm/torch2hpvm/compile.py b/hpvm/projects/torch2hpvm/torch2hpvm/compile.py
index f469c871f990c0b0abe38465e36a67597c71d5f8..922b6795ade457ba4c961af4d2e70ce150e22e92 100644
--- a/hpvm/projects/torch2hpvm/torch2hpvm/compile.py
+++ b/hpvm/projects/torch2hpvm/torch2hpvm/compile.py
@@ -55,7 +55,7 @@ class ModelExporter:
self.dfg = DFG(onnx_model.graph)
output_dir = Path(output_dir).absolute()
- os.makedirs(output_dir, exist_ok=True)
+ os.makedirs(output_dir, exist_ok=False) # Will throw if already existss
self.weight_dir = output_dir / self.weight_dir_name
self.weight_dir.mkdir(exist_ok=True)
self.codefile = output_dir / self.source_file_name
@@ -69,7 +69,7 @@ class ModelExporter:
raise ValueError(
f"Config file must be given and exist under hpvm_tensor mode"
)
- self.path_params = {"config_file": Path(config_file)}
+ self.path_params = {"config_file": str(config_file)}
self.compile_args = ["-t", "tensor", "--conf-file", str(config_file)]
self.codegen = HpvmCodeGen(*args3, "tensor", None)
elif target == "hpvm_tensor_inspect":
@@ -81,7 +81,7 @@ class ModelExporter:
"tune_labels_path": (self.weight_dir / self.tuneset_name[1]).as_posix(),
"conf_path": config_file.as_posix(),
"fifo_path_r": (output_dir / self.fifo_file_name_r).as_posix(),
- "fifo_path_w": (output_dir / self.fifo_file_name_w).as_posix()
+ "fifo_path_w": (output_dir / self.fifo_file_name_w).as_posix(),
}
self.compile_args = ["-t", "tensor", "--conf-file", str(config_file)]
self.codegen = HpvmCodeGen(*args3, "tensor", self.path_params)
@@ -161,7 +161,7 @@ class ModelExporter:
"knob_speedup": knob_speedup,
"op_knobs": op_knobs,
"baseline_knob": baseline_knob,
- **self.path_params
+ **self.path_params,
},
f,
indent=2,
@@ -290,7 +290,9 @@ class ModelExporter:
raise ValueError(f"Cannot accept model of type {type(model)}")
if opset is not None:
onnx_model = check_onnx_version(onnx_model, opset)
- onnx_model, check = simplify(onnx_model)
+ onnx_model, check = simplify(
+ onnx_model, skip_fuse_bn=True, skipped_optimizers=["fuse_bn_into_conv"]
+ )
assert check, "Simplified ONNX model could not be validated"
return onnx.shape_inference.infer_shapes(onnx_model)
@@ -318,17 +320,18 @@ def torch_to_onnx(
output_obj: Union[IO, PathLike],
opset_version: int = 10,
):
+ from torch.onnx import export
+
# Export the model (must be on CPU, some model only supports this)
- torch.onnx.export(
+ export(
module_cpu.eval(),
model_args_cpu,
output_obj,
export_params=True, # store the trained parameter weights inside the model file
+ do_constant_folding=False,
opset_version=opset_version, # the ONNX version to export the model to
- do_constant_folding=True, # whether to execute constant folding for optimization
input_names=["input"], # the model's input names
output_names=["output"], # the model's output names
- strip_doc_string=False,
)
diff --git a/hpvm/projects/torch2hpvm/torch2hpvm/template_hpvm.cpp.in b/hpvm/projects/torch2hpvm/torch2hpvm/template_hpvm.cpp.in
index 0c1db9b1ff9d71cb9a8c8bbf3a2c64cec8331476..1c4a386ce2fd9e50953a49377df20c9d3ebf75da 100644
--- a/hpvm/projects/torch2hpvm/torch2hpvm/template_hpvm.cpp.in
+++ b/hpvm/projects/torch2hpvm/torch2hpvm/template_hpvm.cpp.in
@@ -90,6 +90,7 @@ int main(int argc, char *argv[]){
__hpvm__init();
startMemTracking();
+ #pragma clang loop unroll(disable)
for (int i = 0; i < batch_count; i++){
int start = i * batch_size, end = start + batch_size;
copyInputBatch(input_path.c_str(), start, end, {{input_shape|join(', ')}}, {{input_name}});
diff --git a/hpvm/scripts/automated_tests.sh b/hpvm/scripts/automated_tests.sh
deleted file mode 100644
index aece74eaa0a59e2e91807e9444c5c10054126cdd..0000000000000000000000000000000000000000
--- a/hpvm/scripts/automated_tests.sh
+++ /dev/null
@@ -1,31 +0,0 @@
-#!/bin/bash
-
-CURRENT_DIR=`pwd`
-BUILD_DIR=$CURRENT_DIR/build
-HPVM_RT=hpvm-rt/hpvm-rt.bc
-
-if [ -f $BUILD_DIR/tools/hpvm/projects/$HPVM_RT ]; then
- true
-else
- echo $BUILD_DIR/tools/hpvm/projects/$HPVM_RT
- echo HPVM not installed! Exiting without running tests!.
- exit 0
-fi
-
-LIT_DIR=$BUILD_DIR/bin/
-
-LIT_TOOL=$LIT_DIR/llvm-lit
-
-TEST_DIR=$CURRENT_DIR/test
-REG_TEST_DIR=$TEST_DIR/regressionTests
-UNIT_TEST_DIR=$TEST_DIR/unitTests
-
-echo
-echo Running tests ...
-echo
-
-# Run regression tests
-$LIT_TOOL -v $REG_TEST_DIR
-
-# Run unit tests
-#$LIT_TOOL -v $UNIT_TEST_DIR
diff --git a/hpvm/scripts/hpvm_installer.py b/hpvm/scripts/hpvm_installer.py
index 11ad3045528543d8398828394cc7236fc849bb30..e83d5f3e727044dcba942e2533597bc779c9b816 100755
--- a/hpvm/scripts/hpvm_installer.py
+++ b/hpvm/scripts/hpvm_installer.py
@@ -1,7 +1,7 @@
#!/usr/bin/env python3
from pathlib import Path
from argparse import ArgumentParser, Namespace
-from subprocess import check_call
+from subprocess import CalledProcessError, check_call
from os import makedirs, chdir, environ
VERSION = "9.0.0"
@@ -12,11 +12,15 @@ CLANG_TARBALL = f"{CLANG_DIR}.tar.xz"
LLVM_DIR = f"llvm-{VERSION}.src"
LLVM_TARBALL = f"{LLVM_DIR}.tar.xz"
-ROOT_DIR = Path.cwd()
+ROOT_DIR = (Path(__file__).parent / "..").absolute()
BUILD_DIR = ROOT_DIR / "build"
TEST_DIR = ROOT_DIR / "test"
LLVM_LIT = BUILD_DIR / "bin/llvm-lit"
+MODEL_PARAMS_DIR = TEST_DIR / "dnn_benchmarks/model_params"
+MODEL_PARAMS_TAR = ROOT_DIR / "model_params.tar.gz"
+MODEL_PARAMS_LINK = "https://databank.illinois.edu/datafiles/o3izd/download"
+
LINKS = [
"CMakeLists.txt",
"cmake",
@@ -27,8 +31,15 @@ LINKS = [
"tools",
]
MAKE_TARGETS = ["approxhpvm.py"]
-MAKE_TEST_TARGETS = ["hpvm-check"]
+MAKE_TEST_TARGETS = ["check-hpvm-dnn", "check-hpvm-pass"]
+# Relative to project root which is __file__.parent.parent
+PY_PACKAGES = [
+ "projects/hpvm-profiler",
+ "projects/predtuner",
+ "projects/torch2hpvm",
+ "projects/keras",
+]
def parse_args():
parser = ArgumentParser(
@@ -63,6 +74,9 @@ def parse_args():
parser.add_argument(
"-r", "--run-tests", action="store_true", help="Build and run test cases"
)
+ parser.add_argument(
+ "--no-params", action="store_true", help="Don't download DNN model parameters"
+ )
return parser.parse_args()
@@ -74,11 +88,11 @@ def prompt_args():
def parse_int(s: str):
try:
v = int(s)
- return v
except ValueError:
return None
if v <= 0:
return None
+ return v
def parse_targets(s: str):
if " " in s:
@@ -124,7 +138,7 @@ def print_args(args):
def check_download_llvm_clang():
if Path("llvm/").is_dir():
- print("Found LLVM, not extracting it again.")
+ print("Found LLVM directory, not extracting it again.")
else:
if Path(LLVM_TARBALL).is_file():
print(f"Found {LLVM_TARBALL}, not downloading it again.")
@@ -141,7 +155,7 @@ def check_download_llvm_clang():
environ["LLVM_SRC_ROOT"] = str(ROOT_DIR / "llvm")
if (tools / "clang/").is_dir():
- print("Found clang, not downloading it again.")
+ print("Found clang directory, not extracting it again.")
return
chdir(tools)
print(f"Downloading {CLANG_TARBALL}...")
@@ -155,6 +169,30 @@ def check_download_llvm_clang():
chdir(ROOT_DIR)
+def check_download_model_params():
+ if MODEL_PARAMS_DIR.is_dir():
+ print("Found model parameters, not extracting it again.")
+ return
+ if MODEL_PARAMS_TAR.is_file():
+ print(f"Found {MODEL_PARAMS_TAR}, not downloading it again.")
+ else:
+ print(f"Downloading DNN model parameters: {MODEL_PARAMS_TAR}...")
+ print(f"=============================")
+ check_call([WGET, MODEL_PARAMS_LINK, "-O", MODEL_PARAMS_TAR])
+ print(f"Extracting DNN model parameters {MODEL_PARAMS_TAR} => {MODEL_PARAMS_DIR}...")
+ # Decompression is pretty time-consuming so we try to show a progress bar:
+ try:
+ check_call(f"pv {MODEL_PARAMS_TAR} | tar xz", shell=True)
+ except CalledProcessError:
+ # Maybe `pv` is not installed. Fine, we'll run without progress bar.
+ print(">> 'pv' is not installed, no progress bar will be shown during decompression.")
+ print(">> Decompression ongoing...")
+ check_call(["tar", "xzf", MODEL_PARAMS_TAR])
+ check_call(["mv", "model_params", MODEL_PARAMS_DIR])
+ if MODEL_PARAMS_TAR.is_file():
+ MODEL_PARAMS_TAR.unlink()
+
+
def link_and_patch():
from os import symlink
@@ -210,6 +248,16 @@ For more details refer to README.md.
chdir(ROOT_DIR)
+def install_py_packages():
+ import sys
+
+ project_root = Path(__file__).parent.parent
+ for package in PY_PACKAGES:
+ package_home = project_root / package
+ print(f"Installing python package {package_home}")
+ check_call([sys.executable, "-m", "pip", "install", str(package_home)])
+
+
def run_tests():
chdir(BUILD_DIR)
# Run regression tests
@@ -236,7 +284,10 @@ def main():
print_args(args)
check_download_llvm_clang()
link_and_patch()
+ if not args.no_params:
+ check_download_model_params()
maybe_build(not args.no_build, args.parallel, args.targets, args.run_tests)
+ install_py_packages()
if args.run_tests:
run_tests()
else:
diff --git a/hpvm/test/CMakeLists.txt b/hpvm/test/CMakeLists.txt
index 4c96ee124f066bbe35c2f8117ea29078f38df7ae..660003538fe72d45e3dbfc1178fd296cdc7156b5 100644
--- a/hpvm/test/CMakeLists.txt
+++ b/hpvm/test/CMakeLists.txt
@@ -1,55 +1,4 @@
-llvm_canonicalize_cmake_booleans(
- BUILD_SHARED_LIBS
- HAVE_LIBXAR
- HAVE_LIBZ
- HAVE_OCAMLOPT
- HAVE_OCAML_OUNIT
- LLVM_ENABLE_DIA_SDK
- LLVM_ENABLE_FFI
- LLVM_ENABLE_THREADS
- LLVM_INCLUDE_GO_TESTS
- LLVM_LIBXML2_ENABLED
- LLVM_LINK_LLVM_DYLIB
- LLVM_TOOL_LTO_BUILD
- LLVM_USE_INTEL_JITEVENTS
- LLVM_BUILD_EXAMPLES
- LLVM_ENABLE_PLUGINS
- )
-
-configure_lit_site_cfg(
- ${CMAKE_CURRENT_SOURCE_DIR}/lit.site.cfg.py.in
- ${CMAKE_CURRENT_BINARY_DIR}/lit.site.cfg.py
- MAIN_CONFIG
- ${CMAKE_CURRENT_SOURCE_DIR}/lit.cfg.py
- )
-
-# Set the depends list as a variable so that it can grow conditionally.
-# NOTE: Sync the substitutions in test/lit.cfg when adding to this list.
-set(
- HPVM_TEST_DEPENDS
- opt hpvm-rt.bc
- # Passes:
- LLVMGenHPVM LLVMBuildDFG LLVMLocalMem LLVMClearDFG
- LLVMDFG2LLVM_CPU LLVMDFG2LLVM_OpenCL
- # Test utils:
- FileCheck count not
-)
-
-add_lit_testsuite(check-hpvm "Running the HPVM regression tests"
- ${CMAKE_CURRENT_BINARY_DIR}
- DEPENDS ${HPVM_TEST_DEPENDS}
-)
-set_target_properties(check-hpvm PROPERTIES FOLDER "Tests")
-
-add_lit_testsuites(HPVM ${CMAKE_CURRENT_SOURCE_DIR} DEPENDS ${HPVM_TEST_DEPENDS})
-
-# Setup a legacy alias for 'check-llvm'. This will likely change to be an
-# alias for 'check-all' at some point in the future.
-add_custom_target(hpvm-check)
-add_dependencies(hpvm-check check-hpvm)
-set_target_properties(hpvm-check PROPERTIES FOLDER "Tests")
-
-# HPVM-C benchmarks uses ctest instead of LLVM's test mechanism
-# because they are compiled in a custom way
-include(CTest)
-add_subdirectory(dnn_benchmarks/hpvm-c)
+include(../cmake/TestFile.cmake) # Generation of `.test` files in CMake
+add_subdirectory(hpvm_pass) # Passes test suite
+add_subdirectory(dnn_benchmarks/hpvm-c) # DNN accuracy test suite
+add_subdirectory(dnn_benchmarks/profiling) # hpvm-profiler test suite
diff --git a/hpvm/test/README.md b/hpvm/test/README.md
index 7e8b408a0c127bf2365eaf7c7b8498178c7c11b1..18cb05b833434fcffc7e4c50b5f38150c924fb19 100644
--- a/hpvm/test/README.md
+++ b/hpvm/test/README.md
@@ -14,6 +14,12 @@ This directory is organized as follows:
* `dnn_benchmarks/hpvm-c` contains the HPVM-C version of these DNNs.
Their organization and usage are similar to the benchmarks under `benchmarks/`.
+
+ Each subfolder contains a DNN with 2 versions (2 `.cpp` files):
+ the `tensor`-targeted version which compiles to `tensor_runtime`,
+ and the `cudnn`-targeted version which compiles to operators in `cuDNN`
+ (has `_cudnn` in name).
+
* `dnn_benchmarks/keras` contains these DNNs implemented in Keras,
and code for generating them down to HPVM-C (testing Keras frontend).
* `dnn_benchmarks/pytorch` contains these DNNs in PyTorch
@@ -23,16 +29,40 @@ This directory is organized as follows:
## Running Test Cases and Benchmarks
-The easiest way to run `unitTests/` and `regressionTests/` is
-to build the target `hpvm-check` in the global build directory: `make -j hpvm-check`.
-`hpvm-check` doesn't automatically run `benchmarks/` and `dnn_benchmarks` as they are extremely time-consuming.
+The easiest way to run tests is to use `make` targets,
+which will also take care of all compilation of test cases and test fixtures.
+The following targets runs these tests respectively:
+
+* `make -j check-hpvm-pass` runs tests in `hpvm_pass`: `hpvm_pass/**/*.ll`.
+ These are regression and unit tests for HPVM passes.
+* `make -j check-hpvm-dnn` runs all 20 DNN benchmarks under `dnn_benchmarks/hpvm-c`
+ (10 DNNs x 2 versions) and validates their accuracy.
+
+ *Note* that this can take quite long due to the size of DNNs and datasets.
+ Depending on your hardware capability, this test can take 5-30 minutes.
+ Also, this is set to run sequentially out of GPU memory concerns.
+
+* `make -j check-hpvm-profiler` runs `hpvm-profiler` on some smaller networks
+ (as it is extremely time-consuming) and presents the tradeoff curve with profiled speedup.
+
+ *Note* that if you're on an NVIDIA Jetson TX2, you may want to run
+ `bash dnn_benchmarks/profiling/jetson_clocks.sh`
+ to ensure that the clocks are running at the maximum frequency
+
+Underneath, `llvm-lit` is used to discover and run the tests.
`benchmarks/` can only be compiled in-source with `make`.
We are working to migrate it into the `cmake` system.
+## Compiling Benchmarks
+
+This section explains how to compile the benchmarks without running them as tests.
+
### HPVM-C DNN Benchmarks
-To build all `dnn_benchmarks/hpvm-c`, use `make -j dnn_benchmarks`.
+To build (not run) all `dnn_benchmarks/hpvm-c`, use `make -j dnn_benchmarks`.
+For each benchmark `${bench_name}`, the binary is generated at
+`${build_dir}/tools/hpvm/test/dnn_benchmarks/hpvm-c/${bench_name}`.
Alternatively, it's possible to build just 1 DNN benchmark.
The output of CMake shows a list of these benchmarks as target names, starting with
@@ -56,10 +86,6 @@ Currently, there are 20 of them. These are:
`_cudnn` suffix indicates the code is generated onto cuDNN functions.
Otherwise they are generated to `tensor_runtime` DNN functions which are hand-written in CUDA.
-### DNN Frontends
-
-TODO: figure out how to
+### TODO: figure out how to
-1. Auto run all hpvm-c DNN benchmarks
-2. Compare the output accuracy to groundtruth
-3. Auto run Keras and PyTorch tests (generating, compiling and running all DNNs)
+1. Auto run Keras and PyTorch tests (generating, compiling and running all DNNs)
diff --git a/hpvm/test/dnn_benchmarks/.gitignore b/hpvm/test/dnn_benchmarks/.gitignore
new file mode 100644
index 0000000000000000000000000000000000000000..6363621cf146eb33ded322d27ce19cf0ae6374c4
--- /dev/null
+++ b/hpvm/test/dnn_benchmarks/.gitignore
@@ -0,0 +1 @@
+model_params/
diff --git a/hpvm/test/dnn_benchmarks/hpvm-c/CMakeLists.txt b/hpvm/test/dnn_benchmarks/hpvm-c/CMakeLists.txt
index 37a856123d1ea9ee074a5ac2844b223a78c56e16..3a0c6534e02ce82fdfd02f483f71c6be1a9ab433 100644
--- a/hpvm/test/dnn_benchmarks/hpvm-c/CMakeLists.txt
+++ b/hpvm/test/dnn_benchmarks/hpvm-c/CMakeLists.txt
@@ -13,8 +13,32 @@ configure_file(
# and we'll give this to approxhpvm.py
set(CONFIG_INCLUDE_DIR "${CMAKE_CURRENT_BINARY_DIR}/include")
+# --[ llvm-lit test setup
+# lit.cfg.py looks for tests in CMAKE_CURRENT_BINARY_DIR (see lit.cfg.py)
+# as most of the tests require some kind of compilation / generation
+# which is best done over there.
+configure_lit_site_cfg(
+ ../../lit.site.cfg.py.in
+ ${CMAKE_CURRENT_BINARY_DIR}/lit.site.cfg.py
+ MAIN_CONFIG
+ ${CMAKE_CURRENT_SOURCE_DIR}/lit.cfg.py
+)
+add_lit_testsuite(check-hpvm-dnn "Running HPVM DNNs"
+ ${CMAKE_CURRENT_BINARY_DIR}
+ DEPENDS dnn_benchmarks # Compile all dnn benchmarks to run them
+ ARGS "-j1" # Run DNN benchmarks sequentially
+)
+# Install an accuracy comparator under build/bin
+set(BIN_DIR ${LLVM_BINARY_DIR}/${LLVM_TOOLS_INSTALL_DIR})
+add_custom_command(
+ OUTPUT ${BIN_DIR}/check_dnn_acc.py
+ COMMAND cp ${CMAKE_CURRENT_SOURCE_DIR}/check_dnn_acc.py ${BIN_DIR}
+ COMMAND chmod +x ${BIN_DIR}/check_dnn_acc.py
+ DEPENDS ${CMAKE_CURRENT_SOURCE_DIR}/check_dnn_acc.py
+)
+
set(test_compile_targets "")
-function(approxhpvm_py_codegen bin_filename src_filepath codegen_target)
+function(compile_hpvm_c bin_filename src_filepath codegen_target)
add_custom_command(
OUTPUT ${CMAKE_CURRENT_BINARY_DIR}/${bin_filename}
DEPENDS ${src_filepath} approxhpvm.py
@@ -23,36 +47,38 @@ function(approxhpvm_py_codegen bin_filename src_filepath codegen_target)
-t ${codegen_target} -I ${CONFIG_INCLUDE_DIR} ${ARGV}
)
add_custom_target(${bin_filename} DEPENDS ${CMAKE_CURRENT_BINARY_DIR}/${bin_filename})
- add_test(NAME test_${bin_filename} COMMAND ${CMAKE_CURRENT_BINARY_DIR}/${bin_filename})
- set_tests_properties(test_${bin_filename} PROPERTIES RUN_SERIAL TRUE)
set(test_compile_targets ${test_compile_targets} ${bin_filename} PARENT_SCOPE)
-endfunction(approxhpvm_py_codegen)
+endfunction(compile_hpvm_c)
-set(test_run_targets "")
-function(run_single_benchmark run_target benchmark)
- add_custom_target(
- ${run_target} COMMAND ${CMAKE_CURRENT_BINARY_DIR}/${benchmark}
- )
- add_dependencies(${run_target} ${benchmark})
- set(test_run_targets ${test_run_targets} ${run_target} PARENT_SCOPE)
-endfunction(run_single_benchmark)
+function(hpvm_add_dnn_test benchmark_target)
+ # llvm_test_run* composes a .test file with the RUN line needed by llvm-lit
+ # No need to give binary path yet;
+ # llvm_add_test_for_target knows the binary path from target name
+ # Runs the binary with no argument
+ llvm_test_run()
+ # Requests comparison of accuracy
+ llvm_test_run(EXECUTABLE check_dnn_acc.py final_accuracy ${benchmark_target})
+ # Removes the final_accuracy file
+ llvm_test_run(EXECUTABLE rm final_accuracy)
+ # llvm_add_test creates .test file to given output path for given binary.
+ llvm_add_test(${benchmark_target}.test ${CMAKE_CURRENT_BINARY_DIR}/${benchmark_target})
+ # TODO: add_dependencies
+endfunction(hpvm_add_dnn_test)
file(GLOB entries ./benchmarks/*)
foreach(dir ${entries})
get_filename_component(dirname "${dir}" NAME)
# Generate "tensor"-targeted code
- approxhpvm_py_codegen(
+ compile_hpvm_c(
${dirname} ${dir}/${dirname}.cpp tensor
--conf-file ${dir}/data/tuner_confs.txt
)
- # Run tensor binary
- run_single_benchmark(run_${dirname} ${dirname})
+ hpvm_add_dnn_test(${dirname})
# Generate "cudnn"-targeted code
- approxhpvm_py_codegen(${dirname}_cudnn ${dir}/${dirname}_cudnn.cpp cudnn)
- # Run cudnn binary
- run_single_benchmark(run_${dirname}_cudnn ${dirname}_cudnn)
+ compile_hpvm_c(${dirname}_cudnn ${dir}/${dirname}_cudnn.cpp cudnn)
+ hpvm_add_dnn_test(${dirname}_cudnn)
endforeach(dir)
-message(STATUS "List of test dnn benchmarks: ${test_compile_targets}")
-add_custom_target(dnn_benchmarks DEPENDS ${test_compile_targets})
-message(STATUS "Target name for compiling all dnn benchmarks: dnn_benchmarks")
+message(STATUS "List of HPVM-C DNN benchmarks: ${test_compile_targets}")
+add_custom_target(dnn_benchmarks DEPENDS ${test_compile_targets} ${BIN_DIR}/check_dnn_acc.py)
+message(STATUS "Target name for compiling all DNN benchmarks: dnn_benchmarks")
diff --git a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/alexnet2_cifar10/alexnet2_cifar10.cpp b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/alexnet2_cifar10/alexnet2_cifar10.cpp
index dd689d202a91755ecad116a3d1277f59c740d0b1..35f8188f785d023264c31a20480f661f066fb9f5 100644
--- a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/alexnet2_cifar10/alexnet2_cifar10.cpp
+++ b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/alexnet2_cifar10/alexnet2_cifar10.cpp
@@ -1,10 +1,4 @@
-
-#include <stdio.h>
-#include <stdlib.h>
-#include <unistd.h>
-#include <fcntl.h>
-#include <sys/stat.h>
-#include <cstring>
+#include <string>
#include <hpvm.h>
#include <tensorTypes.h>
#include <tensorUtils.h>
@@ -411,10 +405,12 @@ typedef struct __attribute__((__packed__)) {
struct ret_t r;
} RootIn;
-int main() {
+const int batch_size = 500, input_size = 5000,
+ batch_count = input_size / batch_size;
+int main() {
std::string dir_prefix = std::string(MODEL_PARAMS_DIR) + "/alexnet2_cifar10/";
-
+ std::string input_path = dir_prefix + std::string("test_input.bin");
std::string labels_path = dir_prefix + std::string("test_labels.bin");
std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");
void *conv2d_1_w =
@@ -458,12 +454,10 @@ int main() {
std::string dense_1_b_path = dir_prefix + std::string("dense_1_b.bin");
void *dense_1_b = readTrainedWeights(dense_1_b_path.c_str(), 0, 1, 10, 1, 1);
- // void* input = readTrainedWeights(input_path.c_str(), 0,10000,3,32,32);
- // uint8_t* labels = readLabels(labels_path.c_str(),10000);
-
- __hpvm__init();
RootIn *args = static_cast<RootIn *>(malloc(sizeof(RootIn)));
-
+ void *input = create4DTensor(0, nchw, batch_size, 3, 32, 32);
+ args->input = input;
+ args->input_bytes = 0;
args->conv2d_1_w = conv2d_1_w;
args->conv2d_1_w_bytes = 0;
args->conv2d_1_b = conv2d_1_b;
@@ -493,45 +487,21 @@ int main() {
args->dense_1_b = dense_1_b;
args->dense_1_b_bytes = 0;
- int batch_size = 500;
- int test_input_size = 5000;
- int batch_count = test_input_size / batch_size;
-
- std::string input_path = dir_prefix + std::string("test_input.bin");
- // void* input = create4DTensor(0,nchw,batch_size,3,32,32);
-
+ __hpvm__init();
startMemTracking();
- startProfiling();
-
- for (int j = 0; j < 1; j++) {
- for (int i = 0; i < batch_count; i++) {
-
- int start = i * batch_size;
- int end = (i + 1) * batch_size;
-
- // copyInputBatch(input_path.c_str(),start,end,3,32,32, input);
-
- void *input =
- readInputBatch(input_path.c_str(), 0, start, end, 3, 32, 32);
-
- args->input = input;
- args->input_bytes = 0;
-
- void *dfg = __hpvm__launch(0, root, (void *)args);
-
- __hpvm__wait(dfg);
-
- void *result = static_cast<RootIn *>(args)->r.tensor;
- hpvm_request_tensor(result, 0);
-
- llvm_hpvm_invokeRtControl(result, labels_path.c_str(), start, end);
-
- freeBatchMemory();
- }
+#pragma clang loop unroll(disable)
+ for (int i = 0; i < batch_count; i++) {
+ int start = i * batch_size, end = start + batch_size;
+ copyInputBatch(input_path.c_str(), start, end, 3, 32, 32, input);
+
+ void *dfg = __hpvm__launch(0, root, (void *)args);
+ __hpvm__wait(dfg);
+ void *result = static_cast<RootIn *>(args)->r.tensor;
+ hpvm_request_tensor(result, 0);
+
+ llvm_hpvm_invokeRtControl(result, labels_path.c_str(), start, end);
+ freeBatchMemory();
}
-
- stopProfiling();
__hpvm__cleanup();
-
return 0;
}
diff --git a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/alexnet2_cifar10/alexnet2_cifar10_cudnn.cpp b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/alexnet2_cifar10/alexnet2_cifar10_cudnn.cpp
index 9c0c980d977138a628f1c0b76354d626066d77f9..5bcc5b627b546d714404c89d9a775856c647e7bc 100644
--- a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/alexnet2_cifar10/alexnet2_cifar10_cudnn.cpp
+++ b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/alexnet2_cifar10/alexnet2_cifar10_cudnn.cpp
@@ -1,10 +1,4 @@
-
-#include <stdio.h>
-#include <stdlib.h>
-#include <unistd.h>
-#include <fcntl.h>
-#include <sys/stat.h>
-#include <cstring>
+#include <string>
#include <hpvm.h>
#include <tensorTypes.h>
#include <tensorUtils.h>
@@ -411,11 +405,18 @@ typedef struct __attribute__((__packed__)) {
struct ret_t r;
} RootIn;
-int main() {
+void write_accuracy(float accuracy) {
+ std::ofstream fout("final_accuracy");
+ fout << std::fixed << accuracy;
+}
- std::string dir_prefix = std::string(MODEL_PARAMS_DIR) + "/alexnet2_cifar10/";
+const int batch_size = 500, input_size = 5000,
+ batch_count = input_size / batch_size;
- std::string labels_path = dir_prefix + std::string("tune_labels.bin");
+int main() {
+ std::string dir_prefix = std::string(MODEL_PARAMS_DIR) + "/alexnet2_cifar10/";
+ std::string input_path = dir_prefix + std::string("test_input.bin");
+ std::string labels_path = dir_prefix + std::string("test_labels.bin");
std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");
void *conv2d_1_w =
readTrainedWeights(conv2d_1_w_path.c_str(), 0, 32, 3, 3, 3);
@@ -458,9 +459,10 @@ int main() {
std::string dense_1_b_path = dir_prefix + std::string("dense_1_b.bin");
void *dense_1_b = readTrainedWeights(dense_1_b_path.c_str(), 0, 1, 10, 1, 1);
- __hpvm__init();
RootIn *args = static_cast<RootIn *>(malloc(sizeof(RootIn)));
-
+ void *input = create4DTensor(0, nchw, batch_size, 3, 32, 32);
+ args->input = input;
+ args->input_bytes = 0;
args->conv2d_1_w = conv2d_1_w;
args->conv2d_1_w_bytes = 0;
args->conv2d_1_b = conv2d_1_b;
@@ -490,41 +492,25 @@ int main() {
args->dense_1_b = dense_1_b;
args->dense_1_b_bytes = 0;
- int batch_size = 500;
- int test_input_size = 5000;
- int batch_count = test_input_size / batch_size;
-
- std::string input_path = dir_prefix + std::string("tune_input.bin");
- void *input = create4DTensor(0, nchw, batch_size, 3, 32, 32);
-
+ __hpvm__init();
+ float total_accuracy = 0;
startMemTracking();
+#pragma clang loop unroll(disable)
for (int i = 0; i < batch_count; i++) {
-
- int start = i * batch_size;
- int end = (i + 1) * batch_size;
-
+ int start = i * batch_size, end = start + batch_size;
copyInputBatch(input_path.c_str(), start, end, 3, 32, 32, input);
- args->input = input;
- args->input_bytes = 0;
-
void *dfg = __hpvm__launch(0, root, (void *)args);
-
__hpvm__wait(dfg);
-
void *result = static_cast<RootIn *>(args)->r.tensor;
hpvm_request_tensor(result, 0);
uint32_t *labels = readLabelsBatch3(labels_path.c_str(), start, end);
-
- computeAccuracy3(labels, result);
-
- // llvm_hpvm_invokeRtControl2(result, labels);
-
+ float accuracy = computeAccuracy3(labels, result);
+ total_accuracy += accuracy * batch_size;
freeBatchMemory();
}
-
+ write_accuracy(total_accuracy / input_size);
__hpvm__cleanup();
-
return 0;
}
diff --git a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/alexnet_cifar10/alexnet_cifar10.cpp b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/alexnet_cifar10/alexnet_cifar10.cpp
index ae5f31b7dcca3ec59920e0dcc0ba34ca5ea28cbc..51e0dd137db1cd835412bc6ee5694795718e739d 100644
--- a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/alexnet_cifar10/alexnet_cifar10.cpp
+++ b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/alexnet_cifar10/alexnet_cifar10.cpp
@@ -1,10 +1,4 @@
-
-#include <stdio.h>
-#include <stdlib.h>
-#include <unistd.h>
-#include <fcntl.h>
-#include <sys/stat.h>
-#include <cstring>
+#include <string>
#include <hpvm.h>
#include <tensorTypes.h>
#include <tensorUtils.h>
@@ -362,12 +356,12 @@ typedef struct __attribute__((__packed__)) {
struct ret_t r;
} RootIn;
-int main() {
+const int batch_size = 500, input_size = 5000,
+ batch_count = input_size / batch_size;
+int main() {
std::string dir_prefix = std::string(MODEL_PARAMS_DIR) + "/alexnet_cifar10/";
-
std::string input_path = dir_prefix + std::string("test_input.bin");
- // void* input = readTrainedWeights(input_path.c_str(), 0,5000,3,32,32);
std::string labels_path = dir_prefix + std::string("test_labels.bin");
uint8_t *labels = readLabels(labels_path.c_str(), 5000);
std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");
@@ -406,11 +400,10 @@ int main() {
std::string dense_1_b_path = dir_prefix + std::string("dense_1_b.bin");
void *dense_1_b = readTrainedWeights(dense_1_b_path.c_str(), 0, 1, 10, 1, 1);
- __hpvm__init();
RootIn *args = static_cast<RootIn *>(malloc(sizeof(RootIn)));
-
- // args->input = input;
- // args->input_bytes = 0;
+ void *input = create4DTensor(0, nchw, batch_size, 3, 32, 32);
+ args->input = input;
+ args->input_bytes = 0;
args->conv2d_1_w = conv2d_1_w;
args->conv2d_1_w_bytes = 0;
args->conv2d_1_b = conv2d_1_b;
@@ -436,43 +429,21 @@ int main() {
args->dense_1_b = dense_1_b;
args->dense_1_b_bytes = 0;
- int batch_size = 500;
- int test_input_size = 5000;
- int batch_count = test_input_size / batch_size;
-
+ __hpvm__init();
startMemTracking();
- startProfiling();
-
- for (int j = 0; j < 1; j++) {
- for (int i = 0; i < batch_count; i++) {
-
- int start = i * batch_size;
- int end = (i + 1) * batch_size;
-
- // copyInputBatch(input_path.c_str(),start,end,3,32,32, input);
-
- // Replaced create4DTensor and copyInputBatch with readInputBatch
- void *input =
- readInputBatch(input_path.c_str(), 0, start, end, 3, 32, 32);
-
- args->input = input;
- args->input_bytes = 0;
-
- void *dfg = __hpvm__launch(0, root, (void *)args);
-
- __hpvm__wait(dfg);
-
- void *result = static_cast<RootIn *>(args)->r.tensor;
- hpvm_request_tensor(result, 0);
-
- llvm_hpvm_invokeRtControl(result, labels_path.c_str(), start, end);
-
- freeBatchMemory();
- }
+#pragma clang loop unroll(disable)
+ for (int i = 0; i < batch_count; i++) {
+ int start = i * batch_size, end = start + batch_size;
+ copyInputBatch(input_path.c_str(), start, end, 3, 32, 32, input);
+
+ void *dfg = __hpvm__launch(0, root, (void *)args);
+ __hpvm__wait(dfg);
+ void *result = static_cast<RootIn *>(args)->r.tensor;
+ hpvm_request_tensor(result, 0);
+
+ llvm_hpvm_invokeRtControl(result, labels_path.c_str(), start, end);
+ freeBatchMemory();
}
-
- stopProfiling();
__hpvm__cleanup();
-
return 0;
}
diff --git a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/alexnet_cifar10/alexnet_cifar10_cudnn.cpp b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/alexnet_cifar10/alexnet_cifar10_cudnn.cpp
index 7ce160881372f9b09e20f079ba5b065f724fe34f..74c5420fd9b77aa2deab656204e43b164a241304 100644
--- a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/alexnet_cifar10/alexnet_cifar10_cudnn.cpp
+++ b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/alexnet_cifar10/alexnet_cifar10_cudnn.cpp
@@ -1,10 +1,4 @@
-
-#include <stdio.h>
-#include <stdlib.h>
-#include <unistd.h>
-#include <fcntl.h>
-#include <sys/stat.h>
-#include <cstring>
+#include <string>
#include <hpvm.h>
#include <tensorTypes.h>
#include <tensorUtils.h>
@@ -363,13 +357,18 @@ typedef struct __attribute__((__packed__)) {
struct ret_t r;
} RootIn;
-int main() {
+void write_accuracy(float accuracy) {
+ std::ofstream fout("final_accuracy");
+ fout << std::fixed << accuracy;
+}
- std::string dir_prefix = std::string(MODEL_PARAMS_DIR) + "/alexnet_cifar10/";
+const int batch_size = 500, input_size = 5000,
+ batch_count = input_size / batch_size;
- std::string input_path = dir_prefix + std::string("tune_input.bin");
- void *input = readTrainedWeights(input_path.c_str(), 0, 5000, 3, 32, 32);
- std::string labels_path = dir_prefix + std::string("tune_labels.bin");
+int main() {
+ std::string dir_prefix = std::string(MODEL_PARAMS_DIR) + "/alexnet_cifar10/";
+ std::string input_path = dir_prefix + std::string("test_input.bin");
+ std::string labels_path = dir_prefix + std::string("test_labels.bin");
uint32_t *labels = readLabels3(labels_path.c_str(), 5000);
std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");
void *conv2d_1_w =
@@ -407,9 +406,8 @@ int main() {
std::string dense_1_b_path = dir_prefix + std::string("dense_1_b.bin");
void *dense_1_b = readTrainedWeights(dense_1_b_path.c_str(), 0, 1, 10, 1, 1);
- __hpvm__init();
RootIn *args = static_cast<RootIn *>(malloc(sizeof(RootIn)));
-
+ void *input = create4DTensor(0, nchw, batch_size, 3, 32, 32);
args->input = input;
args->input_bytes = 0;
args->conv2d_1_w = conv2d_1_w;
@@ -436,14 +434,26 @@ int main() {
args->dense_1_w_bytes = 0;
args->dense_1_b = dense_1_b;
args->dense_1_b_bytes = 0;
- void *dfg = __hpvm__launch(0, root, (void *)args);
-
- __hpvm__wait(dfg);
- void *result = static_cast<RootIn *>(args)->r.tensor;
-
- hpvm_request_tensor(result, 0);
+ __hpvm__init();
+ float total_accuracy = 0;
+ startMemTracking();
+#pragma clang loop unroll(disable)
+ for (int i = 0; i < batch_count; i++) {
+ int start = i * batch_size, end = start + batch_size;
+ copyInputBatch(input_path.c_str(), start, end, 3, 32, 32, input);
+
+ void *dfg = __hpvm__launch(0, root, (void *)args);
+ __hpvm__wait(dfg);
+ void *result = static_cast<RootIn *>(args)->r.tensor;
+ hpvm_request_tensor(result, 0);
+
+ uint32_t *labels = readLabelsBatch3(labels_path.c_str(), start, end);
+ float accuracy = computeAccuracy3(labels, result);
+ total_accuracy += accuracy * batch_size;
+ freeBatchMemory();
+ }
+ write_accuracy(total_accuracy / input_size);
__hpvm__cleanup();
- computeAccuracy3(labels, result);
return 0;
}
diff --git a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/alexnet_imagenet/alexnet_imagenet.cpp b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/alexnet_imagenet/alexnet_imagenet.cpp
index d49c0d2d06b1ea04ad78ee72dc2776bd000dacfd..16bcecf939051ef7490d58a196a12786b0d4f465 100644
--- a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/alexnet_imagenet/alexnet_imagenet.cpp
+++ b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/alexnet_imagenet/alexnet_imagenet.cpp
@@ -1,14 +1,8 @@
-
-#include <stdio.h>
-#include <stdlib.h>
-#include <unistd.h>
-#include <fcntl.h>
-#include <sys/stat.h>
-#include <cstring>
+#include <config.h>
#include <hpvm.h>
+#include <string>
#include <tensorTypes.h>
#include <tensorUtils.h>
-#include <config.h>
void var_0_node(void *t1, size_t bytes_t1, void *t2, size_t bytes_t2) {
__hpvm__hint(hpvm::TENSOR_TARGET);
@@ -460,11 +454,11 @@ typedef struct __attribute__((__packed__)) {
struct ret_t r;
} RootIn;
-int main() {
-
- std::string dir_prefix =
- std::string(MODEL_PARAMS_DIR) + "/alexnet_imagenet/";
+const int batch_size = 100, input_size = 5000,
+ batch_count = input_size / batch_size;
+int main() {
+ std::string dir_prefix = std::string(MODEL_PARAMS_DIR) + "/alexnet_imagenet/";
std::string input_path = dir_prefix + std::string("test_input.bin");
std::string labels_path = dir_prefix + std::string("test_labels.bin");
std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");
@@ -515,16 +509,11 @@ int main() {
std::string dense_3_b_path = dir_prefix + std::string("dense_3_b.bin");
void *dense_3_b =
readTrainedWeights(dense_3_b_path.c_str(), 0, 1, 1000, 1, 1);
- // void* input = readTrainedWeights(input_path.c_str(), 0, 1000,3,224,224);
- // uint32_t* labels = readLabels2(labels_path.c_str(),6000);
- // uint32_t* labels = readLabels3(labels_path.c_str(), 1000);
-
- __hpvm__init();
RootIn *args = static_cast<RootIn *>(malloc(sizeof(RootIn)));
-
- // args->input = input;
- // args->input_bytes = 0;
+ void *input = create4DTensor(0, nchw, batch_size, 3, 224, 224);
+ args->input = input;
+ args->input_bytes = 0;
args->conv2d_1_w = conv2d_1_w;
args->conv2d_1_w_bytes = 0;
args->conv2d_1_b = conv2d_1_b;
@@ -558,40 +547,21 @@ int main() {
args->dense_3_b = dense_3_b;
args->dense_3_b_bytes = 0;
- int batch_size = 200;
- int test_input_size = 4000;
- int batch_count = test_input_size / batch_size;
-
+ __hpvm__init();
startMemTracking();
- startProfiling();
-
- for (int j = 0; j < 1; j++) {
- for (int i = 0; i < batch_count; i++) {
-
- int start = i * batch_size;
- int end = (i + 1) * batch_size;
-
- void *input =
- readInputBatch(input_path.c_str(), 0, start, end, 3, 224, 224);
-
- args->input = input;
- args->input_bytes = 0;
-
- void *dfg = __hpvm__launch(0, root, (void *)args);
-
- __hpvm__wait(dfg);
-
- void *result = static_cast<RootIn *>(args)->r.tensor;
- hpvm_request_tensor(result, 0);
-
- llvm_hpvm_invokeRtControl(result, labels_path.c_str(), start, end);
-
- freeBatchMemory();
- }
+#pragma clang loop unroll(disable)
+ for (int i = 0; i < batch_count; i++) {
+ int start = i * batch_size, end = start + batch_size;
+ copyInputBatch(input_path.c_str(), start, end, 3, 224, 224, input);
+
+ void *dfg = __hpvm__launch(0, root, (void *)args);
+ __hpvm__wait(dfg);
+ void *result = static_cast<RootIn *>(args)->r.tensor;
+ hpvm_request_tensor(result, 0);
+
+ llvm_hpvm_invokeRtControl(result, labels_path.c_str(), start, end);
+ freeBatchMemory();
}
-
- stopProfiling();
__hpvm__cleanup();
-
return 0;
}
diff --git a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/alexnet_imagenet/alexnet_imagenet_cudnn.cpp b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/alexnet_imagenet/alexnet_imagenet_cudnn.cpp
index 73175982ab98c19efdf1e77b6e2db504af4d6d93..5ddd9694328db6d892c8c23b44b2e165afe77953 100644
--- a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/alexnet_imagenet/alexnet_imagenet_cudnn.cpp
+++ b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/alexnet_imagenet/alexnet_imagenet_cudnn.cpp
@@ -1,10 +1,4 @@
-
-#include <stdio.h>
-#include <stdlib.h>
-#include <unistd.h>
-#include <fcntl.h>
-#include <sys/stat.h>
-#include <cstring>
+#include <string>
#include <hpvm.h>
#include <tensorTypes.h>
#include <tensorUtils.h>
@@ -460,12 +454,18 @@ typedef struct __attribute__((__packed__)) {
struct ret_t r;
} RootIn;
-int main() {
+void write_accuracy(float accuracy) {
+ std::ofstream fout("final_accuracy");
+ fout << std::fixed << accuracy;
+}
- std::string dir_prefix =
- std::string(MODEL_PARAMS_DIR) + "/alexnet_imagenet/";
- std::string input_path = dir_prefix + std::string("tune_input.bin");
- std::string labels_path = dir_prefix + std::string("tune_labels.bin");
+const int batch_size = 100, input_size = 5000,
+ batch_count = input_size / batch_size;
+
+int main() {
+ std::string dir_prefix = std::string(MODEL_PARAMS_DIR) + "/alexnet_imagenet/";
+ std::string input_path = dir_prefix + std::string("test_input.bin");
+ std::string labels_path = dir_prefix + std::string("test_labels.bin");
std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");
void *conv2d_1_w =
readTrainedWeights(conv2d_1_w_path.c_str(), 0, 64, 3, 11, 11);
@@ -514,14 +514,9 @@ int main() {
std::string dense_3_b_path = dir_prefix + std::string("dense_3_b.bin");
void *dense_3_b =
readTrainedWeights(dense_3_b_path.c_str(), 0, 1, 1000, 1, 1);
- void *input = readTrainedWeights(input_path.c_str(), 0, 1000, 3, 224, 224);
- // uint32_t* labels = readLabels2(labels_path.c_str(),6000);
-
- uint32_t *labels = readLabels3(labels_path.c_str(), 1000);
- __hpvm__init();
RootIn *args = static_cast<RootIn *>(malloc(sizeof(RootIn)));
-
+ void *input = create4DTensor(0, nchw, batch_size, 3, 224, 224);
args->input = input;
args->input_bytes = 0;
args->conv2d_1_w = conv2d_1_w;
@@ -557,14 +552,25 @@ int main() {
args->dense_3_b = dense_3_b;
args->dense_3_b_bytes = 0;
- void *dfg = __hpvm__launch(0, root, (void *)args);
-
- __hpvm__wait(dfg);
-
- void *result = static_cast<RootIn *>(args)->r.tensor;
- hpvm_request_tensor(result, 0);
-
+ __hpvm__init();
+ float total_accuracy = 0;
+ startMemTracking();
+#pragma clang loop unroll(disable)
+ for (int i = 0; i < batch_count; i++) {
+ int start = i * batch_size, end = start + batch_size;
+ copyInputBatch(input_path.c_str(), start, end, 3, 224, 224, input);
+
+ void *dfg = __hpvm__launch(0, root, (void *)args);
+ __hpvm__wait(dfg);
+ void *result = static_cast<RootIn *>(args)->r.tensor;
+ hpvm_request_tensor(result, 0);
+
+ uint32_t *labels = readLabelsBatch3(labels_path.c_str(), start, end);
+ float accuracy = computeAccuracy3(labels, result);
+ total_accuracy += accuracy * batch_size;
+ freeBatchMemory();
+ }
+ write_accuracy(total_accuracy / input_size);
__hpvm__cleanup();
- computeAccuracy3(labels, result);
return 0;
}
diff --git a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/lenet_mnist/lenet_mnist.cpp b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/lenet_mnist/lenet_mnist.cpp
index b67d585d01b4809d4107d95ab4476e741f13dd7c..ee81665ec94a4c9cc634c16bdda5bbea96e120df 100644
--- a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/lenet_mnist/lenet_mnist.cpp
+++ b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/lenet_mnist/lenet_mnist.cpp
@@ -1,10 +1,4 @@
-
-#include <stdio.h>
-#include <stdlib.h>
-#include <unistd.h>
-#include <fcntl.h>
-#include <sys/stat.h>
-#include <cstring>
+#include <string>
#include <hpvm.h>
#include <tensorTypes.h>
#include <tensorUtils.h>
@@ -264,13 +258,13 @@ typedef struct __attribute__((__packed__)) {
struct ret_t r;
} RootIn;
-int main() {
+const int batch_size = 1000, input_size = 5000,
+ batch_count = input_size / batch_size;
+int main() {
std::string dir_prefix = std::string(MODEL_PARAMS_DIR) + "/lenet_mnist/";
-
std::string input_path = dir_prefix + std::string("test_input.bin");
std::string labels_path = dir_prefix + std::string("test_labels.bin");
-
std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");
void *conv2d_1_w =
readTrainedWeights(conv2d_1_w_path.c_str(), 0, 32, 1, 5, 5);
@@ -294,15 +288,11 @@ int main() {
readTrainedWeights(dense_2_w_path.c_str(), 0, 1, 1, 1024, 10);
std::string dense_2_b_path = dir_prefix + std::string("dense_2_b.bin");
void *dense_2_b = readTrainedWeights(dense_2_b_path.c_str(), 0, 1, 10, 1, 1);
- // void* input = readTrainedWeights(input_path.c_str(), 0, 5000,1,28,28);
- // uint32_t* labels = readLabels3(labels_path.c_str(), 5000);
-
- __hpvm__init();
RootIn *args = static_cast<RootIn *>(malloc(sizeof(RootIn)));
-
- // args->input = input;
- // args->input_bytes = 0;
+ void *input = create4DTensor(0, nchw, batch_size, 1, 28, 28);
+ args->input = input;
+ args->input_bytes = 0;
args->conv2d_1_w = conv2d_1_w;
args->conv2d_1_w_bytes = 0;
args->conv2d_1_b = conv2d_1_b;
@@ -320,37 +310,21 @@ int main() {
args->dense_2_b = dense_2_b;
args->dense_2_b_bytes = 0;
- int batch_size = 500;
- int test_input_size = 5000;
- int batch_count = test_input_size / batch_size;
-
+ __hpvm__init();
startMemTracking();
- startProfiling();
-
+#pragma clang loop unroll(disable)
for (int i = 0; i < batch_count; i++) {
-
- int start = i * batch_size;
- int end = (i + 1) * batch_size;
-
- void *input = readInputBatch(input_path.c_str(), 0, start, end, 1, 28, 28);
-
- args->input = input;
- args->input_bytes = 0;
+ int start = i * batch_size, end = start + batch_size;
+ copyInputBatch(input_path.c_str(), start, end, 1, 28, 28, input);
void *dfg = __hpvm__launch(0, root, (void *)args);
-
__hpvm__wait(dfg);
-
void *result = static_cast<RootIn *>(args)->r.tensor;
hpvm_request_tensor(result, 0);
llvm_hpvm_invokeRtControl(result, labels_path.c_str(), start, end);
-
freeBatchMemory();
}
-
- stopProfiling();
__hpvm__cleanup();
-
return 0;
}
diff --git a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/lenet_mnist/lenet_mnist_cudnn.cpp b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/lenet_mnist/lenet_mnist_cudnn.cpp
index 4e0adc7bbe15356955a178d8db30466c8b872258..eecc7f5d60cf63b10ea5af098156a0dfa2890f80 100644
--- a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/lenet_mnist/lenet_mnist_cudnn.cpp
+++ b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/lenet_mnist/lenet_mnist_cudnn.cpp
@@ -1,10 +1,4 @@
-
-#include <stdio.h>
-#include <stdlib.h>
-#include <unistd.h>
-#include <fcntl.h>
-#include <sys/stat.h>
-#include <cstring>
+#include <string>
#include <hpvm.h>
#include <tensorTypes.h>
#include <tensorUtils.h>
@@ -264,13 +258,18 @@ typedef struct __attribute__((__packed__)) {
struct ret_t r;
} RootIn;
-int main() {
-
- std::string dir_prefix = std::string(MODEL_PARAMS_DIR) + "/lenet_mnist/";
+void write_accuracy(float accuracy) {
+ std::ofstream fout("final_accuracy");
+ fout << std::fixed << accuracy;
+}
- std::string input_path = dir_prefix + std::string("tune_input.bin");
- std::string labels_path = dir_prefix + std::string("tune_labels.bin");
+const int batch_size = 1000, input_size = 5000,
+ batch_count = input_size / batch_size;
+int main() {
+ std::string dir_prefix = std::string(MODEL_PARAMS_DIR) + "/lenet_mnist/";
+ std::string input_path = dir_prefix + std::string("test_input.bin");
+ std::string labels_path = dir_prefix + std::string("test_labels.bin");
std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");
void *conv2d_1_w =
readTrainedWeights(conv2d_1_w_path.c_str(), 0, 32, 1, 5, 5);
@@ -294,13 +293,9 @@ int main() {
readTrainedWeights(dense_2_w_path.c_str(), 0, 1, 1, 1024, 10);
std::string dense_2_b_path = dir_prefix + std::string("dense_2_b.bin");
void *dense_2_b = readTrainedWeights(dense_2_b_path.c_str(), 0, 1, 10, 1, 1);
- void *input = readTrainedWeights(input_path.c_str(), 0, 5000, 1, 28, 28);
-
- uint32_t *labels = readLabels3(labels_path.c_str(), 5000);
- __hpvm__init();
RootIn *args = static_cast<RootIn *>(malloc(sizeof(RootIn)));
-
+ void *input = create4DTensor(0, nchw, batch_size, 1, 28, 28);
args->input = input;
args->input_bytes = 0;
args->conv2d_1_w = conv2d_1_w;
@@ -320,15 +315,25 @@ int main() {
args->dense_2_b = dense_2_b;
args->dense_2_b_bytes = 0;
- void *dfg = __hpvm__launch(0, root, (void *)args);
-
- __hpvm__wait(dfg);
-
- void *result = static_cast<RootIn *>(args)->r.tensor;
- hpvm_request_tensor(result, 0);
-
+ __hpvm__init();
+ float total_accuracy = 0;
+ startMemTracking();
+#pragma clang loop unroll(disable)
+ for (int i = 0; i < batch_count; i++) {
+ int start = i * batch_size, end = start + batch_size;
+ copyInputBatch(input_path.c_str(), start, end, 1, 28, 28, input);
+
+ void *dfg = __hpvm__launch(0, root, (void *)args);
+ __hpvm__wait(dfg);
+ void *result = static_cast<RootIn *>(args)->r.tensor;
+ hpvm_request_tensor(result, 0);
+
+ uint32_t *labels = readLabelsBatch3(labels_path.c_str(), start, end);
+ float accuracy = computeAccuracy3(labels, result);
+ total_accuracy += accuracy * batch_size;
+ freeBatchMemory();
+ }
+ write_accuracy(total_accuracy / input_size);
__hpvm__cleanup();
- computeAccuracy3(labels, result);
-
return 0;
}
diff --git a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/mobilenet_cifar10/mobilenet_cifar10.cpp b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/mobilenet_cifar10/mobilenet_cifar10.cpp
index a4de2826216d9bf6b3843e466097abae35ca8b72..58051e0993e8b8893a398eee3a0358556a18c2f4 100644
--- a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/mobilenet_cifar10/mobilenet_cifar10.cpp
+++ b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/mobilenet_cifar10/mobilenet_cifar10.cpp
@@ -1,10 +1,4 @@
-
-#include <stdio.h>
-#include <stdlib.h>
-#include <unistd.h>
-#include <fcntl.h>
-#include <sys/stat.h>
-#include <cstring>
+#include <string>
#include <hpvm.h>
#include <tensorTypes.h>
#include <tensorUtils.h>
@@ -1965,8 +1959,12 @@ typedef struct __attribute__((__packed__)) {
struct ret_t r;
} RootIn;
+const int batch_size = 500, input_size = 5000,
+ batch_count = input_size / batch_size;
+
int main() {
- std::string dir_prefix = std::string(MODEL_PARAMS_DIR) + "/mobilenet_cifar10/";
+ std::string dir_prefix =
+ std::string(MODEL_PARAMS_DIR) + "/mobilenet_cifar10/";
std::string input_path = dir_prefix + std::string("test_input.bin");
std::string labels_path = dir_prefix + std::string("test_labels.bin");
@@ -2501,14 +2499,11 @@ int main() {
readTrainedWeights(dense_1_w_path.c_str(), 0, 1, 1, 1024, 10);
std::string dense_1_b_path = dir_prefix + std::string("dense_1_b.bin");
void *dense_1_b = readTrainedWeights(dense_1_b_path.c_str(), 0, 1, 10, 1, 1);
- // void* input = readTrainedWeights(input_path.c_str(), 0, 5000,3,32,32);
- // uint8_t* labels = readLabels(labels_path.c_str(), 5000);
- __hpvm__init();
RootIn *args = static_cast<RootIn *>(malloc(sizeof(RootIn)));
-
- // args->input = input;
- // args->input_bytes = 0;
+ void *input = create4DTensor(0, nchw, batch_size, 3, 32, 32);
+ args->input = input;
+ args->input_bytes = 0;
args->conv2d_1_w = conv2d_1_w;
args->conv2d_1_w_bytes = 0;
args->batch_normalization_1_gamma = batch_normalization_1_gamma;
@@ -2784,39 +2779,21 @@ int main() {
args->dense_1_b = dense_1_b;
args->dense_1_b_bytes = 0;
- int batch_size = 500;
- int test_input_size = 5000;
- int batch_count = test_input_size / batch_size;
-
- // void* input = create4DTensor(0,nchw,batch_size,3,32,32);
-
+ __hpvm__init();
startMemTracking();
- startProfiling();
-
+#pragma clang loop unroll(disable)
for (int i = 0; i < batch_count; i++) {
-
- int start = i * batch_size;
- int end = (i + 1) * batch_size;
-
- // copyInputBatch(input_path.c_str(),start,end,3,32,32, input);
- void *input = readInputBatch(input_path.c_str(), 0, start, end, 3, 32, 32);
-
- args->input = input;
- args->input_bytes = 0;
+ int start = i * batch_size, end = start + batch_size;
+ copyInputBatch(input_path.c_str(), start, end, 3, 32, 32, input);
void *dfg = __hpvm__launch(0, root, (void *)args);
-
__hpvm__wait(dfg);
-
void *result = static_cast<RootIn *>(args)->r.tensor;
hpvm_request_tensor(result, 0);
llvm_hpvm_invokeRtControl(result, labels_path.c_str(), start, end);
-
freeBatchMemory();
}
- stopProfiling();
__hpvm__cleanup();
-
return 0;
}
diff --git a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/mobilenet_cifar10/mobilenet_cifar10_cudnn.cpp b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/mobilenet_cifar10/mobilenet_cifar10_cudnn.cpp
index b7e0a714590418414a2647474526a1fb0c09e390..482a37d4c4be22eda1079b0a900c762fdb4d1001 100644
--- a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/mobilenet_cifar10/mobilenet_cifar10_cudnn.cpp
+++ b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/mobilenet_cifar10/mobilenet_cifar10_cudnn.cpp
@@ -1,10 +1,4 @@
-
-#include <stdio.h>
-#include <stdlib.h>
-#include <unistd.h>
-#include <fcntl.h>
-#include <sys/stat.h>
-#include <cstring>
+#include <string>
#include <hpvm.h>
#include <tensorTypes.h>
#include <tensorUtils.h>
@@ -1965,12 +1959,19 @@ typedef struct __attribute__((__packed__)) {
struct ret_t r;
} RootIn;
-int main() {
+void write_accuracy(float accuracy) {
+ std::ofstream fout("final_accuracy");
+ fout << std::fixed << accuracy;
+}
- std::string dir_prefix = std::string(MODEL_PARAMS_DIR) + "/mobilenet_cifar10/";
+const int batch_size = 500, input_size = 5000,
+ batch_count = input_size / batch_size;
- std::string input_path = dir_prefix + std::string("tune_input.bin");
- std::string labels_path = dir_prefix + std::string("tune_labels.bin");
+int main() {
+ std::string dir_prefix =
+ std::string(MODEL_PARAMS_DIR) + "/mobilenet_cifar10/";
+ std::string input_path = dir_prefix + std::string("test_input.bin");
+ std::string labels_path = dir_prefix + std::string("test_labels.bin");
std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");
void *conv2d_1_w =
readTrainedWeights(conv2d_1_w_path.c_str(), 0, 32, 3, 3, 3);
@@ -2502,12 +2503,10 @@ int main() {
readTrainedWeights(dense_1_w_path.c_str(), 0, 1, 1, 1024, 10);
std::string dense_1_b_path = dir_prefix + std::string("dense_1_b.bin");
void *dense_1_b = readTrainedWeights(dense_1_b_path.c_str(), 0, 1, 10, 1, 1);
- void *input = readTrainedWeights(input_path.c_str(), 0, 5000, 3, 32, 32);
uint32_t *labels = readLabels3(labels_path.c_str(), 5000);
- __hpvm__init();
RootIn *args = static_cast<RootIn *>(malloc(sizeof(RootIn)));
-
+ void *input = create4DTensor(0, nchw, batch_size, 3, 32, 32);
args->input = input;
args->input_bytes = 0;
args->conv2d_1_w = conv2d_1_w;
@@ -2785,14 +2784,25 @@ int main() {
args->dense_1_b = dense_1_b;
args->dense_1_b_bytes = 0;
- void *dfg = __hpvm__launch(0, root, (void *)args);
-
- __hpvm__wait(dfg);
-
- void *result = static_cast<RootIn *>(args)->r.tensor;
- hpvm_request_tensor(result, 0);
-
+ __hpvm__init();
+ float total_accuracy = 0;
+ startMemTracking();
+#pragma clang loop unroll(disable)
+ for (int i = 0; i < batch_count; i++) {
+ int start = i * batch_size, end = start + batch_size;
+ copyInputBatch(input_path.c_str(), start, end, 3, 32, 32, input);
+
+ void *dfg = __hpvm__launch(0, root, (void *)args);
+ __hpvm__wait(dfg);
+ void *result = static_cast<RootIn *>(args)->r.tensor;
+ hpvm_request_tensor(result, 0);
+
+ uint32_t *labels = readLabelsBatch3(labels_path.c_str(), start, end);
+ float accuracy = computeAccuracy3(labels, result);
+ total_accuracy += accuracy * batch_size;
+ freeBatchMemory();
+ }
+ write_accuracy(total_accuracy / input_size);
__hpvm__cleanup();
- computeAccuracy3(labels, result);
return 0;
}
diff --git a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/resnet18_cifar10/resnet18_cifar10.cpp b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/resnet18_cifar10/resnet18_cifar10.cpp
index 66ab37cd33e502df35f73ca2b3addb1c4be53808..a254a625709f13ec08b403c26eac126a09df6daa 100644
--- a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/resnet18_cifar10/resnet18_cifar10.cpp
+++ b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/resnet18_cifar10/resnet18_cifar10.cpp
@@ -1,11 +1,5 @@
-
-#include <stdio.h>
-#include <stdlib.h>
-#include <unistd.h>
-#include <fcntl.h>
-#include <sys/stat.h>
-#include <cstring>
+#include <string>
#include <hpvm.h>
#include <tensorTypes.h>
#include <tensorUtils.h>
@@ -1300,14 +1294,13 @@ typedef struct __attribute__((__packed__)) {
struct ret_t r;
} RootIn;
+const int batch_size = 500, input_size = 5000,
+ batch_count = input_size / batch_size;
+
int main() {
std::string dir_prefix = std::string(MODEL_PARAMS_DIR) + "/resnet18_cifar10/";
-
std::string input_path = dir_prefix + std::string("test_input.bin");
- // void* input = readTrainedWeights(input_path.c_str(), 0,5000,3,32,32);
std::string labels_path = dir_prefix + std::string("test_labels.bin");
- // uint32_t* labels = readLabels3(labels_path.c_str(),5000);
-
std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");
void *conv2d_1_w =
readTrainedWeights(conv2d_1_w_path.c_str(), 0, 16, 3, 3, 3);
@@ -1439,11 +1432,10 @@ int main() {
std::string dense_1_b_path = dir_prefix + std::string("dense_1_b.bin");
void *dense_1_b = readTrainedWeights(dense_1_b_path.c_str(), 0, 1, 10, 1, 1);
- __hpvm__init();
RootIn *args = static_cast<RootIn *>(malloc(sizeof(RootIn)));
-
- // args->input = input;
- // args->input_bytes = 0;
+ void *input = create4DTensor(0, nchw, batch_size, 3, 32, 32);
+ args->input = input;
+ args->input_bytes = 0;
args->conv2d_1_w = conv2d_1_w;
args->conv2d_1_w_bytes = 0;
args->conv2d_1_b = conv2d_1_b;
@@ -1533,47 +1525,21 @@ int main() {
args->dense_1_b = dense_1_b;
args->dense_1_b_bytes = 0;
- int batch_size = 500;
- int test_input_size = 5000;
- int batch_count = test_input_size / batch_size;
-
- // NOTE-HASHIM: commented out
- // void* input = create4DTensor(0,nchw,batch_size,3,32,32);
-
+ __hpvm__init();
startMemTracking();
- startProfiling();
-
- for (int j = 0; j < 1; j++) {
- for (int i = 0; i < batch_count; i++) {
-
- int start = i * batch_size;
- int end = (i + 1) * batch_size;
-
- // copyInputBatch(input_path.c_str(),start,end,3,32,32, input);
-
- // NOTE-HASHIM: Commented out above line and line that does create4DTensor
- void *input =
- readInputBatch(input_path.c_str(), 0, start, end, 3, 32, 32);
-
- args->input = input;
- args->input_bytes = 0;
-
- void *dfg = __hpvm__launch(0, root, (void *)args);
-
- __hpvm__wait(dfg);
-
- void *result = static_cast<RootIn *>(args)->r.tensor;
- hpvm_request_tensor(result, 0);
-
- llvm_hpvm_invokeRtControl(result, labels_path.c_str(), start, end);
-
- printf("RUNNING BATCH = %d \n", i);
-
- freeBatchMemory();
- }
+#pragma clang loop unroll(disable)
+ for (int i = 0; i < batch_count; i++) {
+ int start = i * batch_size, end = start + batch_size;
+ copyInputBatch(input_path.c_str(), start, end, 3, 32, 32, input);
+
+ void *dfg = __hpvm__launch(0, root, (void *)args);
+ __hpvm__wait(dfg);
+ void *result = static_cast<RootIn *>(args)->r.tensor;
+ hpvm_request_tensor(result, 0);
+
+ llvm_hpvm_invokeRtControl(result, labels_path.c_str(), start, end);
+ freeBatchMemory();
}
-
- stopProfiling();
__hpvm__cleanup();
return 0;
}
diff --git a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/resnet18_cifar10/resnet18_cifar10_cudnn.cpp b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/resnet18_cifar10/resnet18_cifar10_cudnn.cpp
index e1429ada17629aa7d889b882f23817943a36dabf..da1ce91ba3fdb4dc7d74e6b854dad7fc1c2d412e 100644
--- a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/resnet18_cifar10/resnet18_cifar10_cudnn.cpp
+++ b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/resnet18_cifar10/resnet18_cifar10_cudnn.cpp
@@ -1,11 +1,5 @@
-
-#include <stdio.h>
-#include <stdlib.h>
-#include <unistd.h>
-#include <fcntl.h>
-#include <sys/stat.h>
-#include <cstring>
+#include <string>
#include <hpvm.h>
#include <tensorTypes.h>
#include <tensorUtils.h>
@@ -1226,13 +1220,18 @@ typedef struct __attribute__((__packed__)) {
struct ret_t r;
} RootIn;
-int main() {
+void write_accuracy(float accuracy) {
+ std::ofstream fout("final_accuracy");
+ fout << std::fixed << accuracy;
+}
- std::string dir_prefix = std::string(MODEL_PARAMS_DIR) + "/resnet18_cifar10/";
+const int batch_size = 500, input_size = 5000,
+ batch_count = input_size / batch_size;
- std::string input_path = dir_prefix + std::string("tune_input.bin");
- void *input = readTrainedWeights(input_path.c_str(), 0, 5000, 3, 32, 32);
- std::string labels_path = dir_prefix + std::string("tune_labels.bin");
+int main() {
+ std::string dir_prefix = std::string(MODEL_PARAMS_DIR) + "/resnet18_cifar10/";
+ std::string input_path = dir_prefix + std::string("test_input.bin");
+ std::string labels_path = dir_prefix + std::string("test_labels.bin");
uint32_t *labels = readLabels3(labels_path.c_str(), 5000);
std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");
void *conv2d_1_w =
@@ -1365,9 +1364,8 @@ int main() {
std::string dense_1_b_path = dir_prefix + std::string("dense_1_b.bin");
void *dense_1_b = readTrainedWeights(dense_1_b_path.c_str(), 0, 1, 10, 1, 1);
- __hpvm__init();
RootIn *args = static_cast<RootIn *>(malloc(sizeof(RootIn)));
-
+ void *input = create4DTensor(0, nchw, batch_size, 3, 32, 32);
args->input = input;
args->input_bytes = 0;
args->conv2d_1_w = conv2d_1_w;
@@ -1459,16 +1457,25 @@ int main() {
args->dense_1_b = dense_1_b;
args->dense_1_b_bytes = 0;
- void *dfg = __hpvm__launch(0, root, (void *)args);
-
- __hpvm__wait(dfg);
-
- void *result = static_cast<RootIn *>(args)->r.tensor;
- hpvm_request_tensor(result, 0);
-
+ __hpvm__init();
+ float total_accuracy = 0;
+ startMemTracking();
+#pragma clang loop unroll(disable)
+ for (int i = 0; i < batch_count; i++) {
+ int start = i * batch_size, end = start + batch_size;
+ copyInputBatch(input_path.c_str(), start, end, 3, 32, 32, input);
+
+ void *dfg = __hpvm__launch(0, root, (void *)args);
+ __hpvm__wait(dfg);
+ void *result = static_cast<RootIn *>(args)->r.tensor;
+ hpvm_request_tensor(result, 0);
+
+ uint32_t *labels = readLabelsBatch3(labels_path.c_str(), start, end);
+ float accuracy = computeAccuracy3(labels, result);
+ total_accuracy += accuracy * batch_size;
+ freeBatchMemory();
+ }
+ write_accuracy(total_accuracy / input_size);
__hpvm__cleanup();
-
- computeAccuracy3(labels, result);
-
return 0;
}
diff --git a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/resnet50_imagenet/resnet50_imagenet.cpp b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/resnet50_imagenet/resnet50_imagenet.cpp
index db6b64daa0d214017ebcf968067fe44f40aa9c06..a3ece5fedec57a73537d870199b6b4270b541b42 100644
--- a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/resnet50_imagenet/resnet50_imagenet.cpp
+++ b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/resnet50_imagenet/resnet50_imagenet.cpp
@@ -1,10 +1,4 @@
-
-#include <stdio.h>
-#include <stdlib.h>
-#include <unistd.h>
-#include <fcntl.h>
-#include <sys/stat.h>
-#include <cstring>
+#include <string>
#include <hpvm.h>
#include <tensorTypes.h>
#include <tensorUtils.h>
@@ -5132,8 +5126,10 @@ typedef struct __attribute__((__packed__)) {
struct ret_t r;
} RootIn;
-int main() {
+const int batch_size = 25, input_size = 5000,
+ batch_count = input_size / batch_size;
+int main() {
std::string dir_prefix =
std::string(MODEL_PARAMS_DIR) + "/resnet50_imagenet/";
std::string input_path = dir_prefix + std::string("test_input.bin");
@@ -6311,12 +6307,10 @@ int main() {
void *dense_1_b =
readTrainedWeights(dense_1_b_path.c_str(), 0, 1, 1000, 1, 1);
- // void* input = readTrainedWeights(input_path.c_str(), 0,100,3,224,224);
- // uint32_t* labels = readLabelsBatch3(labels_path.c_str(),0,100);
-
- __hpvm__init();
RootIn *args = static_cast<RootIn *>(malloc(sizeof(RootIn)));
-
+ void *input = create4DTensor(0, nchw, batch_size, 3, 224, 224);
+ args->input = input;
+ args->input_bytes = 0;
args->conv2d_1_w = conv2d_1_w;
args->conv2d_1_w_bytes = 0;
args->conv2d_1_b = conv2d_1_b;
@@ -6958,39 +6952,21 @@ int main() {
args->dense_1_b = dense_1_b;
args->dense_1_b_bytes = 0;
+ __hpvm__init();
startMemTracking();
- startProfiling();
-
- unsigned int batch_size = 50;
- unsigned int test_input_size = 1000;
- unsigned int batch_count = test_input_size / batch_size;
-
- for (int j = 0; j < 1; j++) {
- for (int i = 0; i < batch_count; i++) {
- int start = i * batch_size;
- int end = (i + 1) * batch_size;
-
- void *input =
- readInputBatch(input_path.c_str(), 0, start, end, 3, 224, 224);
-
- args->input = input;
- args->input_bytes = 0;
-
- void *dfg = __hpvm__launch(0, root, (void *)args);
-
- __hpvm__wait(dfg);
-
- void *result = static_cast<RootIn *>(args)->r.tensor;
- hpvm_request_tensor(result, 0);
-
- llvm_hpvm_invokeRtControl(result, labels_path.c_str(), start, end);
-
- freeBatchMemory();
- }
+#pragma clang loop unroll(disable)
+ for (int i = 0; i < batch_count; i++) {
+ int start = i * batch_size, end = start + batch_size;
+ copyInputBatch(input_path.c_str(), start, end, 3, 224, 224, input);
+
+ void *dfg = __hpvm__launch(0, root, (void *)args);
+ __hpvm__wait(dfg);
+ void *result = static_cast<RootIn *>(args)->r.tensor;
+ hpvm_request_tensor(result, 0);
+
+ llvm_hpvm_invokeRtControl(result, labels_path.c_str(), start, end);
+ freeBatchMemory();
}
-
- stopProfiling();
__hpvm__cleanup();
-
return 0;
}
diff --git a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/resnet50_imagenet/resnet50_imagenet_cudnn.cpp b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/resnet50_imagenet/resnet50_imagenet_cudnn.cpp
index ab613983a0a57673a2575378b6a9a2a3fc04f941..03674b50a5b6b9dcde87fd1e32b0520362ca8ca3 100644
--- a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/resnet50_imagenet/resnet50_imagenet_cudnn.cpp
+++ b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/resnet50_imagenet/resnet50_imagenet_cudnn.cpp
@@ -1,10 +1,4 @@
-
-#include <stdio.h>
-#include <stdlib.h>
-#include <unistd.h>
-#include <fcntl.h>
-#include <sys/stat.h>
-#include <cstring>
+#include <string>
#include <hpvm.h>
#include <tensorTypes.h>
#include <tensorUtils.h>
@@ -4903,12 +4897,19 @@ typedef struct __attribute__((__packed__)) {
struct ret_t r;
} RootIn;
-int main() {
+void write_accuracy(float accuracy) {
+ std::ofstream fout("final_accuracy");
+ fout << std::fixed << accuracy;
+}
+const int batch_size = 50, input_size = 5000,
+ batch_count = input_size / batch_size;
+
+int main() {
std::string dir_prefix =
std::string(MODEL_PARAMS_DIR) + "/resnet50_imagenet/";
- std::string input_path = dir_prefix + std::string("tune_input.bin");
- std::string labels_path = dir_prefix + std::string("tune_labels.bin");
+ std::string input_path = dir_prefix + std::string("test_input.bin");
+ std::string labels_path = dir_prefix + std::string("test_labels.bin");
std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");
void *conv2d_1_w =
readTrainedWeights(conv2d_1_w_path.c_str(), 0, 64, 3, 7, 7);
@@ -6081,12 +6082,10 @@ int main() {
std::string dense_1_b_path = dir_prefix + std::string("dense_1_b.bin");
void *dense_1_b =
readTrainedWeights(dense_1_b_path.c_str(), 0, 1, 1000, 1, 1);
- void *input = readTrainedWeights(input_path.c_str(), 0, 100, 3, 224, 224);
uint32_t *labels = readLabels3(labels_path.c_str(), 100);
- __hpvm__init();
RootIn *args = static_cast<RootIn *>(malloc(sizeof(RootIn)));
-
+ void *input = create4DTensor(0, nchw, batch_size, 3, 224, 224);
args->input = input;
args->input_bytes = 0;
args->conv2d_1_w = conv2d_1_w;
@@ -6730,14 +6729,25 @@ int main() {
args->dense_1_b = dense_1_b;
args->dense_1_b_bytes = 0;
- void *dfg = __hpvm__launch(0, root, (void *)args);
-
- __hpvm__wait(dfg);
-
- void *result = static_cast<RootIn *>(args)->r.tensor;
- hpvm_request_tensor(result, 0);
-
+ __hpvm__init();
+ float total_accuracy = 0;
+ startMemTracking();
+#pragma clang loop unroll(disable)
+ for (int i = 0; i < batch_count; i++) {
+ int start = i * batch_size, end = start + batch_size;
+ copyInputBatch(input_path.c_str(), start, end, 3, 224, 224, input);
+
+ void *dfg = __hpvm__launch(0, root, (void *)args);
+ __hpvm__wait(dfg);
+ void *result = static_cast<RootIn *>(args)->r.tensor;
+ hpvm_request_tensor(result, 0);
+
+ uint32_t *labels = readLabelsBatch3(labels_path.c_str(), start, end);
+ float accuracy = computeAccuracy3(labels, result);
+ total_accuracy += accuracy * batch_size;
+ freeBatchMemory();
+ }
+ write_accuracy(total_accuracy / input_size);
__hpvm__cleanup();
- computeAccuracy3(labels, result);
return 0;
}
diff --git a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/vgg16_cifar10/vgg16_cifar10.cpp b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/vgg16_cifar10/vgg16_cifar10.cpp
index 39c2ffc8769c8b8f13b359e56f4e138dff0fed98..cad22649fdfe4fd6271f5202aa524cea2f3f1383 100644
--- a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/vgg16_cifar10/vgg16_cifar10.cpp
+++ b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/vgg16_cifar10/vgg16_cifar10.cpp
@@ -1,10 +1,4 @@
-
-#include <stdio.h>
-#include <stdlib.h>
-#include <unistd.h>
-#include <fcntl.h>
-#include <sys/stat.h>
-#include <cstring>
+#include <string>
#include <hpvm.h>
#include <tensorTypes.h>
#include <tensorUtils.h>
@@ -827,8 +821,10 @@ typedef struct __attribute__((__packed__)) {
struct ret_t r;
} RootIn;
-int main() {
+const int batch_size = 500, input_size = 5000,
+ batch_count = input_size / batch_size;
+int main() {
std::string dir_prefix = std::string(MODEL_PARAMS_DIR) + "/vgg16_cifar10/";
std::string input_path = dir_prefix + std::string("test_input.bin");
std::string labels_path = dir_prefix + std::string("test_labels.bin");
@@ -920,14 +916,11 @@ int main() {
readTrainedWeights(dense_2_w_path.c_str(), 0, 1, 1, 512, 10);
std::string dense_2_b_path = dir_prefix + std::string("dense_2_b.bin");
void *dense_2_b = readTrainedWeights(dense_2_b_path.c_str(), 0, 1, 10, 1, 1);
- // void* input = readTrainedWeights(input_path.c_str(), 0,2000,3,32,32);
- // uint32_t* labels = readLabels3(labels_path.c_str(),2000);
- __hpvm__init();
RootIn *args = static_cast<RootIn *>(malloc(sizeof(RootIn)));
-
- // args->input = input;
- // args->input_bytes = 0;
+ void *input = create4DTensor(0, nchw, batch_size, 3, 32, 32);
+ args->input = input;
+ args->input_bytes = 0;
args->conv2d_1_w = conv2d_1_w;
args->conv2d_1_w_bytes = 0;
args->conv2d_1_b = conv2d_1_b;
@@ -989,41 +982,21 @@ int main() {
args->dense_2_b = dense_2_b;
args->dense_2_b_bytes = 0;
- int batch_size = 500;
- int test_input_size = 5000;
- int batch_count = test_input_size / batch_size;
-
+ __hpvm__init();
startMemTracking();
- startProfiling();
-
- for (int j = 0; j < 1; j++) {
- for (int i = 0; i < batch_count; i++) {
-
- int start = i * batch_size;
- int end = (i + 1) * batch_size;
-
- // copyInputBatch(input_path.c_str(),start,end,3,32,32, input);
- void *input =
- readInputBatch(input_path.c_str(), 0, start, end, 3, 32, 32);
-
- args->input = input;
- args->input_bytes = 0;
-
- void *dfg = __hpvm__launch(0, root, (void *)args);
-
- __hpvm__wait(dfg);
-
- void *result = static_cast<RootIn *>(args)->r.tensor;
- hpvm_request_tensor(result, 0);
-
- llvm_hpvm_invokeRtControl(result, labels_path.c_str(), start, end);
-
- freeBatchMemory();
- }
+#pragma clang loop unroll(disable)
+ for (int i = 0; i < batch_count; i++) {
+ int start = i * batch_size, end = start + batch_size;
+ copyInputBatch(input_path.c_str(), start, end, 3, 32, 32, input);
+
+ void *dfg = __hpvm__launch(0, root, (void *)args);
+ __hpvm__wait(dfg);
+ void *result = static_cast<RootIn *>(args)->r.tensor;
+ hpvm_request_tensor(result, 0);
+
+ llvm_hpvm_invokeRtControl(result, labels_path.c_str(), start, end);
+ freeBatchMemory();
}
-
- stopProfiling();
__hpvm__cleanup();
-
return 0;
}
diff --git a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/vgg16_cifar10/vgg16_cifar10_cudnn.cpp b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/vgg16_cifar10/vgg16_cifar10_cudnn.cpp
index c1cb38327dc94938934486f3022e4e9cb360f517..662520282892f852fd8f634061cc0f6f72e465f9 100644
--- a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/vgg16_cifar10/vgg16_cifar10_cudnn.cpp
+++ b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/vgg16_cifar10/vgg16_cifar10_cudnn.cpp
@@ -1,10 +1,4 @@
-
-#include <stdio.h>
-#include <stdlib.h>
-#include <unistd.h>
-#include <fcntl.h>
-#include <sys/stat.h>
-#include <cstring>
+#include <string>
#include <hpvm.h>
#include <tensorTypes.h>
#include <tensorUtils.h>
@@ -827,11 +821,18 @@ typedef struct __attribute__((__packed__)) {
struct ret_t r;
} RootIn;
-int main() {
+void write_accuracy(float accuracy) {
+ std::ofstream fout("final_accuracy");
+ fout << std::fixed << accuracy;
+}
+const int batch_size = 500, input_size = 5000,
+ batch_count = input_size / batch_size;
+
+int main() {
std::string dir_prefix = std::string(MODEL_PARAMS_DIR) + "/vgg16_cifar10/";
- std::string input_path = dir_prefix + std::string("tune_input.bin");
- std::string labels_path = dir_prefix + std::string("tune_labels.bin");
+ std::string input_path = dir_prefix + std::string("test_input.bin");
+ std::string labels_path = dir_prefix + std::string("test_labels.bin");
std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");
void *conv2d_1_w =
readTrainedWeights(conv2d_1_w_path.c_str(), 0, 64, 3, 3, 3);
@@ -920,12 +921,10 @@ int main() {
readTrainedWeights(dense_2_w_path.c_str(), 0, 1, 1, 512, 10);
std::string dense_2_b_path = dir_prefix + std::string("dense_2_b.bin");
void *dense_2_b = readTrainedWeights(dense_2_b_path.c_str(), 0, 1, 10, 1, 1);
- void *input = readTrainedWeights(input_path.c_str(), 0, 2000, 3, 32, 32);
uint32_t *labels = readLabels3(labels_path.c_str(), 2000);
- __hpvm__init();
RootIn *args = static_cast<RootIn *>(malloc(sizeof(RootIn)));
-
+ void *input = create4DTensor(0, nchw, batch_size, 3, 32, 32);
args->input = input;
args->input_bytes = 0;
args->conv2d_1_w = conv2d_1_w;
@@ -989,28 +988,25 @@ int main() {
args->dense_2_b = dense_2_b;
args->dense_2_b_bytes = 0;
+ __hpvm__init();
+ float total_accuracy = 0;
startMemTracking();
- startProfiling();
-
- input = readTrainedWeights(input_path.c_str(), 0, 2000, 3, 32, 32);
-
- args->input = input;
- args->input_bytes = 0;
-
- void *dfg = __hpvm__launch(0, root, (void *)args);
-
- __hpvm__wait(dfg);
-
- void *result = static_cast<RootIn *>(args)->r.tensor;
- hpvm_request_tensor(result, 0);
-
- computeAccuracy3(labels, result);
-
- freeBatchMemory();
-
- stopProfiling();
-
+#pragma clang loop unroll(disable)
+ for (int i = 0; i < batch_count; i++) {
+ int start = i * batch_size, end = start + batch_size;
+ copyInputBatch(input_path.c_str(), start, end, 3, 32, 32, input);
+
+ void *dfg = __hpvm__launch(0, root, (void *)args);
+ __hpvm__wait(dfg);
+ void *result = static_cast<RootIn *>(args)->r.tensor;
+ hpvm_request_tensor(result, 0);
+
+ uint32_t *labels = readLabelsBatch3(labels_path.c_str(), start, end);
+ float accuracy = computeAccuracy3(labels, result);
+ total_accuracy += accuracy * batch_size;
+ freeBatchMemory();
+ }
+ write_accuracy(total_accuracy / input_size);
__hpvm__cleanup();
-
return 0;
}
diff --git a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/vgg16_cifar100/vgg16_cifar100.cpp b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/vgg16_cifar100/vgg16_cifar100.cpp
index ce899cd0a24776bd5a7c8b51f13e0dac698b3495..54417171fbcda003e27d7662a11f35499f7c0cc8 100644
--- a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/vgg16_cifar100/vgg16_cifar100.cpp
+++ b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/vgg16_cifar100/vgg16_cifar100.cpp
@@ -1,10 +1,4 @@
-
-#include <stdio.h>
-#include <stdlib.h>
-#include <unistd.h>
-#include <fcntl.h>
-#include <sys/stat.h>
-#include <cstring>
+#include <string>
#include <hpvm.h>
#include <tensorTypes.h>
#include <tensorUtils.h>
@@ -827,10 +821,11 @@ typedef struct __attribute__((__packed__)) {
struct ret_t r;
} RootIn;
-int main() {
+const int batch_size = 500, input_size = 5000,
+ batch_count = input_size / batch_size;
+int main() {
std::string dir_prefix = std::string(MODEL_PARAMS_DIR) + "/vgg16_cifar100/";
-
std::string input_path = dir_prefix + std::string("test_input.bin");
std::string labels_path = dir_prefix + std::string("test_labels.bin");
std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");
@@ -922,14 +917,10 @@ int main() {
std::string dense_2_b_path = dir_prefix + std::string("dense_2_b.bin");
void *dense_2_b = readTrainedWeights(dense_2_b_path.c_str(), 0, 1, 100, 1, 1);
- // void* input = readTrainedWeights(input_path.c_str(), 0,2000,3,32,32);
- // uint32_t* labels = readLabels3(labels_path.c_str(),2000);
-
- __hpvm__init();
RootIn *args = static_cast<RootIn *>(malloc(sizeof(RootIn)));
-
- // args->input = input;
- // args->input_bytes = 0;
+ void *input = create4DTensor(0, nchw, batch_size, 3, 32, 32);
+ args->input = input;
+ args->input_bytes = 0;
args->conv2d_1_w = conv2d_1_w;
args->conv2d_1_w_bytes = 0;
args->conv2d_1_b = conv2d_1_b;
@@ -991,40 +982,21 @@ int main() {
args->dense_2_b = dense_2_b;
args->dense_2_b_bytes = 0;
- int batch_size = 500;
- int test_input_size = 5000;
- int batch_count = test_input_size / batch_size;
-
+ __hpvm__init();
startMemTracking();
- startProfiling();
-
- for (int j = 0; j < 1; j++) {
- for (int i = 0; i < batch_count; i++) {
-
- int start = i * batch_size;
- int end = (i + 1) * batch_size;
-
- void *input =
- readInputBatch(input_path.c_str(), 0, start, end, 3, 32, 32);
-
- args->input = input;
- args->input_bytes = 0;
-
- void *dfg = __hpvm__launch(0, root, (void *)args);
-
- __hpvm__wait(dfg);
-
- void *result = static_cast<RootIn *>(args)->r.tensor;
- hpvm_request_tensor(result, 0);
-
- llvm_hpvm_invokeRtControl(result, labels_path.c_str(), start, end);
-
- freeBatchMemory();
- }
+#pragma clang loop unroll(disable)
+ for (int i = 0; i < batch_count; i++) {
+ int start = i * batch_size, end = start + batch_size;
+ copyInputBatch(input_path.c_str(), start, end, 3, 32, 32, input);
+
+ void *dfg = __hpvm__launch(0, root, (void *)args);
+ __hpvm__wait(dfg);
+ void *result = static_cast<RootIn *>(args)->r.tensor;
+ hpvm_request_tensor(result, 0);
+
+ llvm_hpvm_invokeRtControl(result, labels_path.c_str(), start, end);
+ freeBatchMemory();
}
-
- stopProfiling();
__hpvm__cleanup();
-
return 0;
}
diff --git a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/vgg16_cifar100/vgg16_cifar100_cudnn.cpp b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/vgg16_cifar100/vgg16_cifar100_cudnn.cpp
index 326542a03852d97dbce2dacf4da913005f9ef28a..9f989e361051a8623657d11224cbb898f061032e 100644
--- a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/vgg16_cifar100/vgg16_cifar100_cudnn.cpp
+++ b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/vgg16_cifar100/vgg16_cifar100_cudnn.cpp
@@ -1,10 +1,4 @@
-
-#include <stdio.h>
-#include <stdlib.h>
-#include <unistd.h>
-#include <fcntl.h>
-#include <sys/stat.h>
-#include <cstring>
+#include <string>
#include <hpvm.h>
#include <tensorTypes.h>
#include <tensorUtils.h>
@@ -827,12 +821,18 @@ typedef struct __attribute__((__packed__)) {
struct ret_t r;
} RootIn;
-int main() {
+void write_accuracy(float accuracy) {
+ std::ofstream fout("final_accuracy");
+ fout << std::fixed << accuracy;
+}
- std::string dir_prefix = std::string(MODEL_PARAMS_DIR) + "/vgg16_cifar100/";
+const int batch_size = 500, input_size = 5000,
+ batch_count = input_size / batch_size;
- std::string input_path = dir_prefix + std::string("tune_input.bin");
- std::string labels_path = dir_prefix + std::string("tune_labels.bin");
+int main() {
+ std::string dir_prefix = std::string(MODEL_PARAMS_DIR) + "/vgg16_cifar100/";
+ std::string input_path = dir_prefix + std::string("test_input.bin");
+ std::string labels_path = dir_prefix + std::string("test_labels.bin");
std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");
void *conv2d_1_w =
readTrainedWeights(conv2d_1_w_path.c_str(), 0, 64, 3, 3, 3);
@@ -922,12 +922,8 @@ int main() {
std::string dense_2_b_path = dir_prefix + std::string("dense_2_b.bin");
void *dense_2_b = readTrainedWeights(dense_2_b_path.c_str(), 0, 1, 100, 1, 1);
- void *input = readTrainedWeights(input_path.c_str(), 0, 2000, 3, 32, 32);
- uint32_t *labels = readLabels3(labels_path.c_str(), 2000);
-
- __hpvm__init();
RootIn *args = static_cast<RootIn *>(malloc(sizeof(RootIn)));
-
+ void *input = create4DTensor(0, nchw, batch_size, 3, 32, 32);
args->input = input;
args->input_bytes = 0;
args->conv2d_1_w = conv2d_1_w;
@@ -991,14 +987,25 @@ int main() {
args->dense_2_b = dense_2_b;
args->dense_2_b_bytes = 0;
- void *dfg = __hpvm__launch(0, root, (void *)args);
-
- __hpvm__wait(dfg);
- void *result = static_cast<RootIn *>(args)->r.tensor;
- hpvm_request_tensor(result, 0);
-
+ __hpvm__init();
+ float total_accuracy = 0;
+ startMemTracking();
+#pragma clang loop unroll(disable)
+ for (int i = 0; i < batch_count; i++) {
+ int start = i * batch_size, end = start + batch_size;
+ copyInputBatch(input_path.c_str(), start, end, 3, 32, 32, input);
+
+ void *dfg = __hpvm__launch(0, root, (void *)args);
+ __hpvm__wait(dfg);
+ void *result = static_cast<RootIn *>(args)->r.tensor;
+ hpvm_request_tensor(result, 0);
+
+ uint32_t *labels = readLabelsBatch3(labels_path.c_str(), start, end);
+ float accuracy = computeAccuracy3(labels, result);
+ total_accuracy += accuracy * batch_size;
+ freeBatchMemory();
+ }
+ write_accuracy(total_accuracy / input_size);
__hpvm__cleanup();
- computeAccuracy3(labels, result);
-
return 0;
}
diff --git a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/vgg16_imagenet/vgg16_imagenet.cpp b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/vgg16_imagenet/vgg16_imagenet.cpp
index 91af01fe8eb7deacb47cc42f3fe6cbb620adc000..12f7870a152d8f42fa01b90429bc1102059861ae 100644
--- a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/vgg16_imagenet/vgg16_imagenet.cpp
+++ b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/vgg16_imagenet/vgg16_imagenet.cpp
@@ -1,10 +1,4 @@
-
-#include <stdio.h>
-#include <stdlib.h>
-#include <unistd.h>
-#include <fcntl.h>
-#include <sys/stat.h>
-#include <cstring>
+#include <string>
#include <hpvm.h>
#include <tensorTypes.h>
#include <tensorUtils.h>
@@ -875,10 +869,11 @@ typedef struct __attribute__((__packed__)) {
struct ret_t r;
} RootIn;
-int main() {
+const int batch_size = 10, input_size = 5000,
+ batch_count = input_size / batch_size;
- std::string dir_prefix =
- std::string(MODEL_PARAMS_DIR) + "/vgg16_imagenet/";
+int main() {
+ std::string dir_prefix = std::string(MODEL_PARAMS_DIR) + "/vgg16_imagenet/";
std::string input_path = dir_prefix + std::string("test_input.bin");
std::string labels_path = dir_prefix + std::string("test_labels.bin");
std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");
@@ -978,9 +973,10 @@ int main() {
void *dense_3_b =
readTrainedWeights(dense_3_b_path.c_str(), 0, 1, 1000, 1, 1);
- __hpvm__init();
RootIn *args = static_cast<RootIn *>(malloc(sizeof(RootIn)));
-
+ void *input = create4DTensor(0, nchw, batch_size, 3, 224, 224);
+ args->input = input;
+ args->input_bytes = 0;
args->conv2d_1_w = conv2d_1_w;
args->conv2d_1_w_bytes = 0;
args->conv2d_1_b = conv2d_1_b;
@@ -1046,40 +1042,21 @@ int main() {
args->dense_3_b = dense_3_b;
args->dense_3_b_bytes = 0;
+ __hpvm__init();
startMemTracking();
- startProfiling();
-
- unsigned int batch_size = 50;
- unsigned int test_input_size = 1000;
- unsigned int batch_count = test_input_size / batch_size;
-
- for (int j = 0; j < 1; j++) {
- for (int i = 0; i < batch_count; i++) {
-
- int start = i * batch_size;
- int end = (i + 1) * batch_size;
-
- void *input =
- readInputBatch(input_path.c_str(), 0, start, end, 3, 224, 224);
-
- args->input = input;
- args->input_bytes = 0;
-
- void *dfg = __hpvm__launch(0, root, (void *)args);
-
- __hpvm__wait(dfg);
-
- void *result = static_cast<RootIn *>(args)->r.tensor;
- hpvm_request_tensor(result, 0);
-
- llvm_hpvm_invokeRtControl(result, labels_path.c_str(), start, end);
-
- freeBatchMemory();
- }
+#pragma clang loop unroll(disable)
+ for (int i = 0; i < batch_count; i++) {
+ int start = i * batch_size, end = start + batch_size;
+ copyInputBatch(input_path.c_str(), start, end, 3, 224, 224, input);
+
+ void *dfg = __hpvm__launch(0, root, (void *)args);
+ __hpvm__wait(dfg);
+ void *result = static_cast<RootIn *>(args)->r.tensor;
+ hpvm_request_tensor(result, 0);
+
+ llvm_hpvm_invokeRtControl(result, labels_path.c_str(), start, end);
+ freeBatchMemory();
}
-
- stopProfiling();
__hpvm__cleanup();
-
return 0;
}
diff --git a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/vgg16_imagenet/vgg16_imagenet_cudnn.cpp b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/vgg16_imagenet/vgg16_imagenet_cudnn.cpp
index 16f145efad6a783cd78557c871ff1348bb6689f5..189460c928d65ed989201dc715df5cbe0ccd5bde 100644
--- a/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/vgg16_imagenet/vgg16_imagenet_cudnn.cpp
+++ b/hpvm/test/dnn_benchmarks/hpvm-c/benchmarks/vgg16_imagenet/vgg16_imagenet_cudnn.cpp
@@ -1,10 +1,4 @@
-
-#include <stdio.h>
-#include <stdlib.h>
-#include <unistd.h>
-#include <fcntl.h>
-#include <sys/stat.h>
-#include <cstring>
+#include <string>
#include <hpvm.h>
#include <tensorTypes.h>
#include <tensorUtils.h>
@@ -875,11 +869,18 @@ typedef struct __attribute__((__packed__)) {
struct ret_t r;
} RootIn;
-int main() {
+void write_accuracy(float accuracy) {
+ std::ofstream fout("final_accuracy");
+ fout << std::fixed << accuracy;
+}
+const int batch_size = 25, input_size = 5000,
+ batch_count = input_size / batch_size;
+
+int main() {
std::string dir_prefix = std::string(MODEL_PARAMS_DIR) + "/vgg16_imagenet/";
- std::string input_path = dir_prefix + std::string("tune_input.bin");
- std::string labels_path = dir_prefix + std::string("tune_labels.bin");
+ std::string input_path = dir_prefix + std::string("test_input.bin");
+ std::string labels_path = dir_prefix + std::string("test_labels.bin");
std::string conv2d_1_w_path = dir_prefix + std::string("conv2d_1_w.bin");
void *conv2d_1_w =
readTrainedWeights(conv2d_1_w_path.c_str(), 0, 64, 3, 3, 3);
@@ -976,12 +977,10 @@ int main() {
std::string dense_3_b_path = dir_prefix + std::string("dense_3_b.bin");
void *dense_3_b =
readTrainedWeights(dense_3_b_path.c_str(), 0, 1, 1000, 1, 1);
- void *input = readTrainedWeights(input_path.c_str(), 0, 100, 3, 224, 224);
uint32_t *labels = readLabelsBatch3(labels_path.c_str(), 0, 100);
- __hpvm__init();
RootIn *args = static_cast<RootIn *>(malloc(sizeof(RootIn)));
-
+ void *input = create4DTensor(0, nchw, batch_size, 3, 224, 224);
args->input = input;
args->input_bytes = 0;
args->conv2d_1_w = conv2d_1_w;
@@ -1049,14 +1048,25 @@ int main() {
args->dense_3_b = dense_3_b;
args->dense_3_b_bytes = 0;
- void *dfg = __hpvm__launch(0, root, (void *)args);
-
- __hpvm__wait(dfg);
-
- void *result = static_cast<RootIn *>(args)->r.tensor;
- hpvm_request_tensor(result, 0);
-
+ __hpvm__init();
+ float total_accuracy = 0;
+ startMemTracking();
+#pragma clang loop unroll(disable)
+ for (int i = 0; i < batch_count; i++) {
+ int start = i * batch_size, end = start + batch_size;
+ copyInputBatch(input_path.c_str(), start, end, 3, 224, 224, input);
+
+ void *dfg = __hpvm__launch(0, root, (void *)args);
+ __hpvm__wait(dfg);
+ void *result = static_cast<RootIn *>(args)->r.tensor;
+ hpvm_request_tensor(result, 0);
+
+ uint32_t *labels = readLabelsBatch3(labels_path.c_str(), start, end);
+ float accuracy = computeAccuracy3(labels, result);
+ total_accuracy += accuracy * batch_size;
+ freeBatchMemory();
+ }
+ write_accuracy(total_accuracy / input_size);
__hpvm__cleanup();
- computeAccuracy3(labels, result);
return 0;
}
diff --git a/hpvm/test/dnn_benchmarks/hpvm-c/check_dnn_acc.py b/hpvm/test/dnn_benchmarks/hpvm-c/check_dnn_acc.py
new file mode 100644
index 0000000000000000000000000000000000000000..745836a3286d77c9054ac37356e8f6d585d8c748
--- /dev/null
+++ b/hpvm/test/dnn_benchmarks/hpvm-c/check_dnn_acc.py
@@ -0,0 +1,31 @@
+#!/usr/bin/env python3
+from sys import argv
+
+network_accuracies = {
+ "alexnet2_cifar10": 84.98,
+ "alexnet_cifar10": 79.28,
+ "alexnet_imagenet": 56.30,
+ "lenet_mnist": 98.70,
+ "mobilenet_cifar10": 84.42,
+ "resnet18_cifar10": 89.56,
+ "resnet50_imagenet": 75.10,
+ "vgg16_cifar10": 89.96,
+ "vgg16_cifar100": 66.50,
+ "vgg16_imagenet": 69.46,
+}
+
+
+def almost_equal(x1, x2):
+ return abs(x1 - x2) < 1e-4
+
+
+_, acc_file, network_name = argv
+# cudnn version should have the same accuracy as non-cudnn version.
+network_name = network_name.replace("_cudnn", "")
+with open(acc_file) as f:
+ obtained_acc = float(f.read().strip())
+target_acc = network_accuracies[network_name]
+if not almost_equal(target_acc, obtained_acc):
+ raise ValueError(
+ f"Accuracy mismatch. Obtained: {obtained_acc}, target: {target_acc}"
+ )
diff --git a/hpvm/test/dnn_benchmarks/hpvm-c/include/tensorUtils.h b/hpvm/test/dnn_benchmarks/hpvm-c/include/tensorUtils.h
index 71e1c268726e1fb77b0713599928262b95bd64f5..05d9157a6473fb74061e6edefc4455080368f706 100644
--- a/hpvm/test/dnn_benchmarks/hpvm-c/include/tensorUtils.h
+++ b/hpvm/test/dnn_benchmarks/hpvm-c/include/tensorUtils.h
@@ -3,7 +3,6 @@
#ifndef UTILS_HEADER
#define UTILS_HEADER
-
#include <sstream>
#include <vector>
#include <bits/stdc++.h>
@@ -11,15 +10,13 @@
#include <tensor.h>
#include <cmath>
-
std::vector<float> run_accuracies;
+void printTensorInfo(void *tensor_ptr) {
-void printTensorInfo(void* tensor_ptr){
+ struct Tensor *tensor = (struct Tensor *)tensor_ptr;
- struct Tensor* tensor = (struct Tensor*) tensor_ptr;
-
- if(tensor->gpu_data != NULL){
+ if (tensor->gpu_data != NULL) {
printf("Successful cudaMalloc \n");
}
@@ -29,376 +26,354 @@ void printTensorInfo(void* tensor_ptr){
printf("num_elems = %lu \n", tensor->num_elems);
}
-
// FIXIT: Move this to debug.h and include in all files
-void dumpWeightsToFile(char* file_name, void* weights_ptr){
+void dumpWeightsToFile(char *file_name, void *weights_ptr) {
- struct Tensor* weights = (Tensor*) weights_ptr;
+ struct Tensor *weights = (Tensor *)weights_ptr;
// Move data back to host
hpvm_request_tensor(weights, 0);
-
- FILE* fp = fopen(file_name, "wb");
- if(fp == NULL){
- printf("File %s could not be created. Check if directory exists \n", file_name);
+
+ FILE *fp = fopen(file_name, "wb");
+ if (fp == NULL) {
+ printf("File %s could not be created. Check if directory exists \n",
+ file_name);
abort();
}
- //printf("size_in_bytes = %lu \n", weights->size_in_bytes);
- size_t bytes_written = fwrite(weights->host_data, 1, weights->size_in_bytes, fp);
- //printf("bytes_written = %lu \n", bytes_written);
+ // printf("size_in_bytes = %lu \n", weights->size_in_bytes);
+ size_t bytes_written =
+ fwrite(weights->host_data, 1, weights->size_in_bytes, fp);
+ // printf("bytes_written = %lu \n", bytes_written);
fclose(fp);
}
+void fillTensorWithOnes(void *tensor_ptr) {
+ struct Tensor *tensor = (struct Tensor *)tensor_ptr;
-void fillTensorWithOnes(void* tensor_ptr){
-
- struct Tensor* tensor = (struct Tensor*) tensor_ptr;
-
hpvm_request_tensor(tensor, 0);
-
+
// initialization is specific to the floating point type
- if(tensor->data_type == CUDNN_DATA_FLOAT){
- float* data_arr = (float*) tensor->host_data;
- for(unsigned int i = 0; i < tensor->num_elems; i++){
- data_arr[i] = 1.0;
+ if (tensor->data_type == CUDNN_DATA_FLOAT) {
+ float *data_arr = (float *)tensor->host_data;
+ for (unsigned int i = 0; i < tensor->num_elems; i++) {
+ data_arr[i] = 1.0;
}
}
}
+void fillWithOnesAndTwos(void *tensor_ptr) {
-void fillWithOnesAndTwos(void* tensor_ptr){
+ struct Tensor *tensor = (struct Tensor *)tensor_ptr;
- struct Tensor* tensor = (struct Tensor*) tensor_ptr;
-
hpvm_request_tensor(tensor, 0);
-
+
// initialization is specific to the floating point type
- if(tensor->data_type == CUDNN_DATA_FLOAT){
- float* data_arr = (float*) tensor->host_data;
- for(unsigned int i = 0; i < tensor->num_elems/2; i++){
- data_arr[i] = 1.0;
+ if (tensor->data_type == CUDNN_DATA_FLOAT) {
+ float *data_arr = (float *)tensor->host_data;
+ for (unsigned int i = 0; i < tensor->num_elems / 2; i++) {
+ data_arr[i] = 1.0;
}
- for(unsigned int i = tensor->num_elems/2; i < tensor->num_elems; i++){
- data_arr[i] = 2.0;
+ for (unsigned int i = tensor->num_elems / 2; i < tensor->num_elems; i++) {
+ data_arr[i] = 2.0;
}
-
}
}
+void fillTensorWithVal(void *tensor_ptr, float target_value) {
-void fillTensorWithVal(void* tensor_ptr, float target_value){
+ struct Tensor *tensor = (struct Tensor *)tensor_ptr;
- struct Tensor* tensor = (struct Tensor*) tensor_ptr;
-
hpvm_request_tensor(tensor, 0);
-
+
// initialization is specific to the floating point type
- if(tensor->data_type == CUDNN_DATA_FLOAT){
- float* data_arr = (float*) tensor->host_data;
- for(unsigned int i = 0; i < tensor->num_elems; i++){
- data_arr[i] = target_value;
+ if (tensor->data_type == CUDNN_DATA_FLOAT) {
+ float *data_arr = (float *)tensor->host_data;
+ for (unsigned int i = 0; i < tensor->num_elems; i++) {
+ data_arr[i] = target_value;
}
}
}
+void fillTensorWithNegOnes(void *tensor_ptr) {
-void fillTensorWithNegOnes(void* tensor_ptr){
+ struct Tensor *tensor = (struct Tensor *)tensor_ptr;
- struct Tensor* tensor = (struct Tensor*) tensor_ptr;
-
hpvm_request_tensor(tensor, 0);
-
+
// initialization is specific to the floating point type
- if(tensor->data_type == CUDNN_DATA_FLOAT){
- float* data_arr = (float*) tensor->host_data;
- for(unsigned int i = 0; i < tensor->num_elems; i++){
- data_arr[i] = -1.0;
+ if (tensor->data_type == CUDNN_DATA_FLOAT) {
+ float *data_arr = (float *)tensor->host_data;
+ for (unsigned int i = 0; i < tensor->num_elems; i++) {
+ data_arr[i] = -1.0;
}
}
}
+void fillTensorVals(void *tensor_ptr) {
-void fillTensorVals(void* tensor_ptr){
-
- struct Tensor* tensor = (struct Tensor*) tensor_ptr;
+ struct Tensor *tensor = (struct Tensor *)tensor_ptr;
// initialization is specific to the floating point type
- if(tensor->data_type == CUDNN_DATA_FLOAT){
- float* data_arr = (float*) tensor->host_data;
- for(unsigned int i = 0; i < tensor->num_elems; i++){
- data_arr[i] = i + 1;
+ if (tensor->data_type == CUDNN_DATA_FLOAT) {
+ float *data_arr = (float *)tensor->host_data;
+ for (unsigned int i = 0; i < tensor->num_elems; i++) {
+ data_arr[i] = i + 1;
}
}
}
+void printTensorValues(void *tensor_ptr) {
-void printTensorValues(void* tensor_ptr){
-
- struct Tensor* tensor = (struct Tensor*) tensor_ptr;
+ struct Tensor *tensor = (struct Tensor *)tensor_ptr;
hpvm_request_tensor(tensor, 0);
-
+
// printing is specific to the floating point type
- if(tensor->data_type == CUDNN_DATA_FLOAT){
- float* data_arr = (float*) tensor->host_data;
- for(unsigned int i = 0; i < tensor->num_elems; i++){
- printf("%f,", data_arr[i]);
+ if (tensor->data_type == CUDNN_DATA_FLOAT) {
+ float *data_arr = (float *)tensor->host_data;
+ for (unsigned int i = 0; i < tensor->num_elems; i++) {
+ printf("%f,", data_arr[i]);
}
}
printf("\n");
}
+void printTensorDims(void *tensor_ptr) {
-void printTensorDims(void* tensor_ptr){
-
- struct Tensor* tensor = (struct Tensor*) tensor_ptr;
+ struct Tensor *tensor = (struct Tensor *)tensor_ptr;
printf("Num_elems = %lu \n", tensor->num_elems);
- for (int i = 0; i < tensor->dims.num_dims; i++){
+ for (int i = 0; i < tensor->dims.num_dims; i++) {
printf("dim[%d] = %lu \n", i, tensor->dims.dim_sizes[i]);
}
}
+void compareTensors(void *tensor1_ptr, void *tensor2_ptr) {
-
-void compareTensors(void* tensor1_ptr, void* tensor2_ptr){
-
- struct Tensor* tensor1 = (struct Tensor*) tensor1_ptr;
- struct Tensor* tensor2 = (struct Tensor*) tensor2_ptr;
+ struct Tensor *tensor1 = (struct Tensor *)tensor1_ptr;
+ struct Tensor *tensor2 = (struct Tensor *)tensor2_ptr;
hpvm_request_tensor(tensor1, 0);
hpvm_request_tensor(tensor2, 0);
- float* tensor_data1 = (float*) tensor1->host_data;
- float* tensor_data2 = (float*) tensor2->host_data;
-
- for(unsigned int i = 0; i < tensor1->num_elems; i++){
- if(tensor_data1[i] != tensor_data2[i]){
+ float *tensor_data1 = (float *)tensor1->host_data;
+ float *tensor_data2 = (float *)tensor2->host_data;
+
+ for (unsigned int i = 0; i < tensor1->num_elems; i++) {
+ if (tensor_data1[i] != tensor_data2[i]) {
printf("Tensor data mismatch at index %d \n", i);
abort();
}
}
}
+void compareValues(void *tensor_ptr, float *data, size_t num_elems) {
+ struct Tensor *tensor = (struct Tensor *)tensor_ptr;
-void compareValues(void* tensor_ptr, float* data, size_t num_elems){
-
- struct Tensor* tensor = (struct Tensor*) tensor_ptr;
-
hpvm_request_tensor(tensor, 0);
-
- float* tensor_data = (float*) tensor->host_data;
- for(unsigned int i = 0; i < num_elems; i++){
- if(tensor_data[i] != data[i]){
+
+ float *tensor_data = (float *)tensor->host_data;
+ for (unsigned int i = 0; i < num_elems; i++) {
+ if (tensor_data[i] != data[i]) {
printf("Tensor data mismatch");
abort();
}
}
}
-
-void* readInputTensor(const char* file_name, int data_type, int dim1_size, int dim2_size,
- int dim3_size, int dim4_size){
+void *readInputTensor(const char *file_name, int data_type, int dim1_size,
+ int dim2_size, int dim3_size, int dim4_size) {
int type_size = 4; // NOTE: Assuming floating point tensors
int num_elems = dim1_size * dim2_size * dim3_size * dim4_size;
int size_in_bytes = type_size * dim1_size * dim2_size * dim3_size * dim4_size;
- uint8_t* file_data = (uint8_t*) malloc(sizeof(char) * num_elems);
- float* tensor_data = (float*) malloc(sizeof(float) * num_elems);
+ uint8_t *file_data = (uint8_t *)malloc(sizeof(char) * num_elems);
+ float *tensor_data = (float *)malloc(sizeof(float) * num_elems);
int file_header_size = 16;
-
- FILE* file = fopen(file_name, "rb");
- if(file == NULL){
+
+ FILE *file = fopen(file_name, "rb");
+ if (file == NULL) {
printf("Data file %s is not found. Aborting... \n", file_name);
abort();
}
-
fseek(file, file_header_size, SEEK_CUR); // Skipping the file header
size_t bytes_read = fread(file_data, 1, sizeof(uint8_t) * num_elems, file);
fclose(file);
-
- for (size_t i = 0; i < num_elems; ++i){
- tensor_data[i] = (float) file_data[i] / 255.0f;
+
+ for (size_t i = 0; i < num_elems; ++i) {
+ tensor_data[i] = (float)file_data[i] / 255.0f;
}
// NOTE: Using NCHW format
- struct Tensor* input = (struct Tensor*) create4DTensor(data_type, nchw, dim1_size, dim2_size,
- dim3_size, dim4_size);
-
+ struct Tensor *input = (struct Tensor *)create4DTensor(
+ data_type, nchw, dim1_size, dim2_size, dim3_size, dim4_size);
+
initTensorData(input, tensor_data, size_in_bytes);
// compareValues(input, tensor_data, num_elems);
-
- return input;
-}
+ return input;
+}
//*** FIXIT: Move this to CPU-only
-struct Tensor* readTrainedWeightsCPU(const char* file_name, int data_type,
- int dim1_size, int dim2_size,
- int dim3_size, int dim4_size){
+struct Tensor *readTrainedWeightsCPU(const char *file_name, int data_type,
+ int dim1_size, int dim2_size,
+ int dim3_size, int dim4_size) {
// FIXIT: Don't assume floating point types
int type_size = 4; // NOTE: Assuming floating point tensors
long int num_elems = dim1_size * dim2_size * dim3_size * dim4_size;
- long int size_in_bytes = type_size * dim1_size * dim2_size * dim3_size * dim4_size;
- float* tensor_data = (float*) malloc(sizeof(float) * num_elems);
+ long int size_in_bytes =
+ type_size * dim1_size * dim2_size * dim3_size * dim4_size;
+ float *tensor_data = (float *)malloc(sizeof(float) * num_elems);
int file_header_size = 0;
-
- FILE* file = fopen(file_name, "rb");
- if(file == NULL){
+
+ FILE *file = fopen(file_name, "rb");
+ if (file == NULL) {
printf("Data file %s is not found. Aborting... \n", file_name);
abort();
}
-
+
fseek(file, file_header_size, SEEK_CUR); // Skipping the file header
size_t bytes_read = fread(tensor_data, 1, size_in_bytes, file);
printf("size in bytes = %lu, bytes read = %lu \n", size_in_bytes, bytes_read);
fclose(file);
-
-
- struct Tensor* weights = (struct Tensor*) create4DTensor(data_type, nchw, dim1_size, dim2_size,
- dim3_size, dim4_size);
-
+
+ struct Tensor *weights = (struct Tensor *)create4DTensor(
+ data_type, nchw, dim1_size, dim2_size, dim3_size, dim4_size);
+
initTensorData(weights, tensor_data, size_in_bytes);
- //compareValues(weights, tensor_data, num_elems);
+ // compareValues(weights, tensor_data, num_elems);
free(tensor_data);
return weights;
}
-
-struct Tensor* readTrainedWeights(const char* file_name, int data_type,
- long int dim1_size, long int dim2_size,
- long int dim3_size, long int dim4_size){
+struct Tensor *readTrainedWeights(const char *file_name, int data_type,
+ long int dim1_size, long int dim2_size,
+ long int dim3_size, long int dim4_size) {
// FIXIT: Don't assume floating point types
int type_size = 4; // NOTE: Assuming floating point tensors
long int num_elems = dim1_size * dim2_size * dim3_size * dim4_size;
- long int size_in_bytes = type_size * dim1_size * dim2_size * dim3_size * dim4_size;
- float* tensor_data = (float*) malloc(sizeof(float) * num_elems);
+ long int size_in_bytes =
+ type_size * dim1_size * dim2_size * dim3_size * dim4_size;
+ float *tensor_data = (float *)malloc(sizeof(float) * num_elems);
printf("size_in_bytes = %lu \n", size_in_bytes);
-
+
int file_header_size = 0;
-
- FILE* file = fopen(file_name, "rb");
- if(file == NULL){
+
+ FILE *file = fopen(file_name, "rb");
+ if (file == NULL) {
printf("Data file %s is not found. Aborting... \n", file_name);
abort();
}
-
+
fseek(file, file_header_size, SEEK_CUR); // Skipping the file header
size_t bytes_read = fread(tensor_data, 1, size_in_bytes, file);
- // printf("size in bytes = %lu, bytes read = %lu \n", size_in_bytes, bytes_read);
+ // printf("size in bytes = %lu, bytes read = %lu \n", size_in_bytes,
+ // bytes_read);
fclose(file);
-
-
- struct Tensor* weights = (struct Tensor*) create4DTensor(data_type, nchw, dim1_size, dim2_size,
- dim3_size, dim4_size);
-
+
+ struct Tensor *weights = (struct Tensor *)create4DTensor(
+ data_type, nchw, dim1_size, dim2_size, dim3_size, dim4_size);
+
initTensorData(weights, tensor_data, size_in_bytes);
- //compareValues(weights, tensor_data, num_elems);
+ // compareValues(weights, tensor_data, num_elems);
free(tensor_data);
return weights;
}
-
-
-
-struct Tensor* readInputBatch(const char* file_name, int data_type,
- int start, int end,
- int dim2_size, int dim3_size, int dim4_size){
+struct Tensor *readInputBatch(const char *file_name, long data_type, long start,
+ long end, long dim2_size, long dim3_size,
+ long dim4_size) {
long int dim1_size = end - start;
// FIXIT: Don't assume floating point types
long int type_size = 4; // NOTE: Assuming floating point tensors
long int num_elems = dim1_size * dim2_size * dim3_size * dim4_size;
- long int size_in_bytes = type_size * dim1_size * dim2_size * dim3_size * dim4_size;
- float* tensor_data = (float*) malloc(sizeof(float) * num_elems);
- long int file_header_size = type_size * start * dim2_size * dim3_size * dim4_size;
-
- FILE* file = fopen(file_name, "rb");
- if(file == NULL){
+ long int size_in_bytes =
+ type_size * dim1_size * dim2_size * dim3_size * dim4_size;
+ float *tensor_data = (float *)malloc(sizeof(float) * num_elems);
+ long int file_header_size =
+ type_size * start * dim2_size * dim3_size * dim4_size;
+
+ FILE *file = fopen(file_name, "rb");
+ if (file == NULL) {
printf("Data file %s is not found. Aborting... \n", file_name);
abort();
}
-
+
fseek(file, file_header_size, SEEK_SET); // Skipping the file header
size_t bytes_read = fread(tensor_data, 1, size_in_bytes, file);
fclose(file);
- //printf ("FIXED input BATCH read \n");
-
- struct Tensor* weights = (struct Tensor*) create4DTensor(data_type, nchw, dim1_size, dim2_size,
- dim3_size, dim4_size);
-
+ // printf ("FIXED input BATCH read \n");
+
+ struct Tensor *weights = (struct Tensor *)create4DTensor(
+ data_type, nchw, dim1_size, dim2_size, dim3_size, dim4_size);
+
initTensorData(weights, tensor_data, size_in_bytes);
free(tensor_data);
return weights;
}
+void *copyInputBatch(const char *file_name, long start, long end,
+ long dim2_size, long dim3_size, long dim4_size,
+ void *inputTensor_ptr) {
+ struct Tensor *inputTensor = (struct Tensor *)inputTensor_ptr;
-void* copyInputBatch(const char* file_name,
- int start, int end,
- int dim2_size, int dim3_size, int dim4_size,
- void* inputTensor_ptr){
-
- struct Tensor* inputTensor = (struct Tensor*) inputTensor_ptr;
-
int dim1_size = end - start;
// FIXIT: Don't assume floating point types
int type_size = 4; // NOTE: Assuming floating point tensors
long int num_elems = dim1_size * dim2_size * dim3_size * dim4_size;
- long int size_in_bytes = type_size * dim1_size * dim2_size * dim3_size * dim4_size;
- float* tensor_data = (float*) malloc(sizeof(float) * num_elems);
- int file_header_size = type_size * start * dim2_size * dim3_size * dim4_size;
-
- FILE* file = fopen(file_name, "rb");
- if(file == NULL){
+ long int size_in_bytes =
+ type_size * dim1_size * dim2_size * dim3_size * dim4_size;
+ float *tensor_data = (float *)malloc(sizeof(float) * num_elems);
+ long int file_header_size =
+ type_size * start * dim2_size * dim3_size * dim4_size;
+
+ FILE *file = fopen(file_name, "rb");
+ if (file == NULL) {
printf("Data file %s is not found. Aborting... \n", file_name);
abort();
}
-
+
fseek(file, file_header_size, SEEK_SET); // Skipping the file header
size_t bytes_read = fread(tensor_data, 1, size_in_bytes, file);
fclose(file);
-
-
+
initTensorData(inputTensor, tensor_data, size_in_bytes);
free(tensor_data);
printf("******NOTE: tensor Dims = %d \n", inputTensor->dims.num_dims);
- if(inputTensor->host_data == NULL || inputTensor->gpu_data == NULL)
+ if (inputTensor->host_data == NULL || inputTensor->gpu_data == NULL)
printf("ERROR: NULL data pointers \n");
-
- // Chaning Tensor Placement to HOST
+ // Chaning Tensor Placement to HOST
changeTensorPlacement(inputTensor, HOST);
-
return inputTensor;
}
+uint8_t *readLabels(const char *labels_file, int num_labels) {
-
-uint8_t* readLabels(const char* labels_file, int num_labels){
-
- uint8_t* labels = (uint8_t*) malloc(sizeof(uint8_t) * num_labels);
- FILE* file = fopen(labels_file, "rb");
- if(file == NULL){
+ uint8_t *labels = (uint8_t *)malloc(sizeof(uint8_t) * num_labels);
+ FILE *file = fopen(labels_file, "rb");
+ if (file == NULL) {
printf("Data file %s is not found. Aborting...\n", labels_file);
abort();
}
@@ -406,17 +381,15 @@ uint8_t* readLabels(const char* labels_file, int num_labels){
size_t bytes_read = fread(labels, 1, sizeof(uint8_t) * num_labels, file);
fclose(file);
-
+
return labels;
}
+uint32_t *readLabels3(const char *labels_file, int num_labels) {
-
-uint32_t* readLabels3(const char* labels_file, int num_labels){
-
- uint32_t* labels = (uint32_t*) malloc(sizeof(uint32_t) * num_labels);
- FILE* file = fopen(labels_file, "rb");
- if(file == NULL){
+ uint32_t *labels = (uint32_t *)malloc(sizeof(uint32_t) * num_labels);
+ FILE *file = fopen(labels_file, "rb");
+ if (file == NULL) {
printf("Data file %s is not found. Aborting...\n", labels_file);
abort();
}
@@ -424,264 +397,248 @@ uint32_t* readLabels3(const char* labels_file, int num_labels){
size_t bytes_read = fread(labels, 1, sizeof(uint32_t) * num_labels, file);
fclose(file);
-
+
return labels;
}
-
-uint8_t* readLabelsBatch(const char* labels_file, int start, int end){
+uint8_t *readLabelsBatch(const char *labels_file, int start, int end) {
int num_labels = end - start;
int file_header_size = sizeof(uint8_t) * start;
-
- uint8_t* labels = (uint8_t*) malloc(sizeof(uint8_t) * num_labels);
- FILE* file = fopen(labels_file, "rb");
- if(file == NULL){
+
+ uint8_t *labels = (uint8_t *)malloc(sizeof(uint8_t) * num_labels);
+ FILE *file = fopen(labels_file, "rb");
+ if (file == NULL) {
printf("Data file %s is not found. Aborting...\n", labels_file);
abort();
}
-
+
fseek(file, file_header_size, SEEK_SET); // Skipping the file header
-
- size_t bytes_read = fread(labels, 1, sizeof(uint8_t) * num_labels, file);
+ size_t bytes_read = fread(labels, 1, sizeof(uint8_t) * num_labels, file);
fclose(file);
-
+
// printf("--labels bytes_read = %lu \n", bytes_read);
return labels;
}
-
-uint32_t* readLabelsBatch3(const char* labels_file, int start, int end){
+uint32_t *readLabelsBatch3(const char *labels_file, int start, int end) {
int num_labels = end - start;
int file_header_size = sizeof(uint32_t) * start;
-
- uint32_t* labels = (uint32_t*) malloc(sizeof(uint32_t) * num_labels);
- FILE* file = fopen(labels_file, "rb");
- if(file == NULL){
+
+ uint32_t *labels = (uint32_t *)malloc(sizeof(uint32_t) * num_labels);
+ FILE *file = fopen(labels_file, "rb");
+ if (file == NULL) {
printf("Data file %s is not found. Aborting...\n", labels_file);
abort();
}
-
+
fseek(file, file_header_size, SEEK_SET); // Skipping the file header
-
- size_t bytes_read = fread(labels, 1, sizeof(uint32_t) * num_labels, file);
+ size_t bytes_read = fread(labels, 1, sizeof(uint32_t) * num_labels, file);
fclose(file);
-
+
return labels;
}
+void computeAccuracy(const char *labels_file, int num_labels,
+ void *result_ptr) {
+ struct Tensor *result = (struct Tensor *)result_ptr;
-void computeAccuracy(const char* labels_file, int num_labels, void* result_ptr){
-
- struct Tensor* result = (struct Tensor*) result_ptr;
-
- uint8_t* labels = readLabels(labels_file, num_labels);
+ uint8_t *labels = readLabels(labels_file, num_labels);
size_t batch_dim = result->dims.dim_sizes[0];
size_t channels = result->dims.dim_sizes[1];
- float* data = (float*) result->host_data;
+ float *data = (float *)result->host_data;
int num_errors = 0;
-
- for(int i = 0; i < batch_dim; i++){
+
+ for (int i = 0; i < batch_dim; i++) {
int chosen = 0;
- for (int id = 1; id < 10; ++id){
- if (data[i * channels + chosen] < data[i * channels + id]) chosen = id;
+ for (int id = 1; id < 10; ++id) {
+ if (data[i * channels + chosen] < data[i * channels + id])
+ chosen = id;
}
-
- //printf("chosen = %d, label = %d \n", chosen, labels[i]);
- if(chosen != labels[i])
+
+ // printf("chosen = %d, label = %d \n", chosen, labels[i]);
+ if (chosen != labels[i])
num_errors++;
}
float accuracy = ((batch_dim - num_errors) * 1.0 / batch_dim * 1.0) * 100.0;
printf("****** Accuracy = %f \n\n", accuracy);
-
- FILE* fp = fopen("final_accuracy", "w+");
- if(fp != NULL){
+ FILE *fp = fopen("final_accuracy", "w+");
+ if (fp != NULL) {
std::ostringstream ss;
ss << std::fixed << accuracy;
std::string print_str = ss.str();
-
+
fwrite(print_str.c_str(), 1, print_str.length(), fp);
fclose(fp);
}
-
}
+// NOTE: batch_size and num_classes are Unused arguments
+float computeAccuracy2(uint8_t *labels, int batch_size, void *result_ptr,
+ size_t num_classes = 10) {
+ struct Tensor *result = (struct Tensor *)result_ptr;
-
-// NOTE: batch_size and num_classes are Unused arguments
-float computeAccuracy2(uint8_t* labels, int batch_size,
- void* result_ptr, size_t num_classes = 10){
-
- struct Tensor* result = (struct Tensor*) result_ptr;
-
size_t batch_dim = result->dims.dim_sizes[0];
num_classes = result->dims.dim_sizes[1];
- float* data = (float*) result->host_data;
+ float *data = (float *)result->host_data;
int num_errors = 0;
printf("batch_dim = %lu, channels = %lu \n", batch_dim, num_classes);
-
- for(unsigned int i = 0; i < batch_dim; i++){
-
+
+ for (unsigned int i = 0; i < batch_dim; i++) {
+
int chosen = 0;
- for (int id = 1; id < num_classes; ++id){
- if (data[i * num_classes + chosen] < data[i * num_classes + id]) chosen = id;
+ for (int id = 1; id < num_classes; ++id) {
+ if (data[i * num_classes + chosen] < data[i * num_classes + id])
+ chosen = id;
}
-
- if(chosen != labels[i])
- num_errors++;
+ if (chosen != labels[i])
+ num_errors++;
}
float accuracy = ((batch_dim - num_errors) * 1.0 / batch_dim * 1.0) * 100.0;
printf("****** Accuracy = %f \n\n", accuracy);
- FILE* fp = fopen("final_accuracy", "w+");
- if(fp != NULL){
+ FILE *fp = fopen("final_accuracy", "w+");
+ if (fp != NULL) {
std::ostringstream ss;
ss << std::fixed << accuracy;
std::string print_str = ss.str();
-
+
fwrite(print_str.c_str(), 1, print_str.length(), fp);
}
fclose(fp);
- return accuracy;
+ return accuracy;
}
+float computeAccuracy3(uint32_t *labels, void *result_ptr) {
+ struct Tensor *result = (struct Tensor *)result_ptr;
-float computeAccuracy3(uint32_t* labels, void* result_ptr){
-
- struct Tensor* result = (struct Tensor*) result_ptr;
-
size_t batch_dim = result->dims.dim_sizes[0];
size_t num_classes = result->dims.dim_sizes[1];
- float* data = (float*) result->host_data;
+ float *data = (float *)result->host_data;
int num_errors = 0;
printf("batch_dim = %lu, num_classes = %lu \n", batch_dim, num_classes);
-
- for(int i = 0; i < batch_dim; i++){
-
+
+ for (int i = 0; i < batch_dim; i++) {
+
int chosen = 0;
- for (int id = 1; id < num_classes; ++id){
- if (data[i * num_classes + chosen] < data[i * num_classes + id]) chosen = id;
+ for (int id = 1; id < num_classes; ++id) {
+ if (data[i * num_classes + chosen] < data[i * num_classes + id])
+ chosen = id;
}
-
- if(chosen != labels[i])
+
+ if (chosen != labels[i])
num_errors++;
}
float accuracy = ((batch_dim - num_errors) * 1.0 / batch_dim * 1.0) * 100.0;
printf("****** Accuracy = %f \n\n", accuracy);
- FILE* fp = fopen("final_accuracy", "w+");
- if(fp != NULL){
+ FILE *fp = fopen("final_accuracy", "w+");
+ if (fp != NULL) {
std::ostringstream ss;
ss << std::fixed << accuracy;
std::string print_str = ss.str();
-
+
fwrite(print_str.c_str(), 1, print_str.length(), fp);
}
fclose(fp);
- return accuracy;
+ return accuracy;
}
-
-
-struct ClassProb{
+struct ClassProb {
float prob;
int index;
};
-
-bool descendFloatComp(ClassProb obj1, ClassProb obj2){
+bool descendFloatComp(ClassProb obj1, ClassProb obj2) {
return obj1.prob > obj2.prob;
}
+float computeTop5Accuracy(uint8_t *labels, int num_labels, void *result_ptr,
+ unsigned num_classes = 10) {
+
+ struct Tensor *result = (struct Tensor *)result_ptr;
-float computeTop5Accuracy(uint8_t* labels, int num_labels,
- void* result_ptr, unsigned num_classes = 10){
-
- struct Tensor* result = (struct Tensor*) result_ptr;
-
size_t batch_dim = result->dims.dim_sizes[0];
size_t channels = result->dims.dim_sizes[1];
- float* data = (float*) result->host_data;
+ float *data = (float *)result->host_data;
int num_errors = 0;
printf("batch_dim = %lu, channels = %lu \n", batch_dim, channels);
-
- for(int i = 0; i < num_labels; i++){
+
+ for (int i = 0; i < num_labels; i++) {
std::vector<ClassProb> elem_probs;
- for (int id = 0; id < num_classes; ++id){
+ for (int id = 0; id < num_classes; ++id) {
ClassProb cProb;
cProb.prob = data[i * channels + id];
cProb.index = id;
- elem_probs.push_back(cProb);
+ elem_probs.push_back(cProb);
}
- std:sort(elem_probs.begin(), elem_probs.end(), descendFloatComp);
+ std:
+ sort(elem_probs.begin(), elem_probs.end(), descendFloatComp);
// Check if any of top-5 predictions matches
bool matched = false;
- for(int j = 0; j < 5; j++){
+ for (int j = 0; j < 5; j++) {
ClassProb cProb = elem_probs[j];
- if(cProb.index == labels[i])
+ if (cProb.index == labels[i])
matched = true;
}
- if(!matched)
- num_errors +=1;
+ if (!matched)
+ num_errors += 1;
}
float accuracy = ((batch_dim - num_errors) * 1.0 / batch_dim * 1.0) * 100.0;
printf("****** Accuracy = %f \n\n", accuracy);
- FILE* fp = fopen("final_accuracy", "w+");
- if(fp != NULL){
+ FILE *fp = fopen("final_accuracy", "w+");
+ if (fp != NULL) {
std::ostringstream ss;
ss << std::fixed << accuracy;
std::string print_str = ss.str();
-
+
fwrite(print_str.c_str(), 1, print_str.length(), fp);
}
fclose(fp);
- return accuracy;
+ return accuracy;
}
-
-
-
-void dumpFinalAccuracy(float accuracy){
+void dumpFinalAccuracy(float accuracy) {
printf("\n\n **** Final Accuracy = %f \n", accuracy);
-
- FILE* fp = fopen("final_accuracy", "w+");
- if(fp != NULL){
+
+ FILE *fp = fopen("final_accuracy", "w+");
+ if (fp != NULL) {
std::ostringstream ss;
ss << std::fixed << accuracy;
std::string print_str = ss.str();
-
+
fwrite(print_str.c_str(), 1, print_str.length(), fp);
}
@@ -690,44 +647,37 @@ void dumpFinalAccuracy(float accuracy){
run_accuracies.push_back(accuracy);
}
+void dumpAvgPSNR(float avg_psnr) {
-
-void dumpAvgPSNR(float avg_psnr){
-
- FILE* fp = fopen("avg_psnr", "w+");
- if(fp != NULL){
+ FILE *fp = fopen("avg_psnr", "w+");
+ if (fp != NULL) {
std::ostringstream ss;
ss << std::fixed << avg_psnr;
- std::string print_str = ss.str();
+ std::string print_str = ss.str();
fwrite(print_str.c_str(), 1, print_str.length(), fp);
}
fclose(fp);
}
+void dumpPSNRStd(float psnr_std) {
-void dumpPSNRStd(float psnr_std){
-
- FILE* fp = fopen("psnr_std.txt", "w+");
- if(fp != NULL){
+ FILE *fp = fopen("psnr_std.txt", "w+");
+ if (fp != NULL) {
std::ostringstream ss;
ss << std::fixed << psnr_std;
- std::string print_str = ss.str();
+ std::string print_str = ss.str();
fwrite(print_str.c_str(), 1, print_str.length(), fp);
}
fclose(fp);
}
+void dumpExecutionAccuracies() {
-
-
-
-void dumpExecutionAccuracies(){
-
- FILE* fp = fopen("run_accuracies.txt", "w+");
- if(fp != NULL){
- for (int i = 0; i < run_accuracies.size(); i++){
+ FILE *fp = fopen("run_accuracies.txt", "w+");
+ if (fp != NULL) {
+ for (int i = 0; i < run_accuracies.size(); i++) {
float accuracy = run_accuracies[i];
std::ostringstream ss;
ss << std::fixed << accuracy;
@@ -735,63 +685,60 @@ void dumpExecutionAccuracies(){
fwrite(print_str.c_str(), 1, print_str.length(), fp);
fwrite("\n", 1, 1, fp);
}
-
}
fclose(fp);
}
-
-float readPSNRFromFile(const char* file_name){
+float readPSNRFromFile(const char *file_name) {
float psnr;
- FILE* pFile = fopen(file_name, "r");
- if(pFile == NULL){
+ FILE *pFile = fopen(file_name, "r");
+ if (pFile == NULL) {
printf("ERROR: psnr.txt not found! \n");
abort();
}
-
+
fscanf(pFile, "%f", &psnr);
printf("**** PSNR read = %f \n\n", psnr);
- return psnr;
+ return psnr;
}
+float computePSNRViolation(void *gold_ptr, void *approx_ptr,
+ float PSNR_threshold) {
-float computePSNRViolation(void* gold_ptr, void* approx_ptr, float PSNR_threshold){
-
-
PSNR_threshold = readPSNRFromFile("psnr.txt");
std::vector<float> psnr_list;
-
- struct Tensor* gold_tensor = (struct Tensor*) gold_ptr;
- struct Tensor* approx_tensor = (struct Tensor*) approx_ptr;
- size_t* dim_sizes = gold_tensor->dims.dim_sizes;
+ struct Tensor *gold_tensor = (struct Tensor *)gold_ptr;
+ struct Tensor *approx_tensor = (struct Tensor *)approx_ptr;
+
+ size_t *dim_sizes = gold_tensor->dims.dim_sizes;
size_t batch_dim = dim_sizes[0];
size_t image_size = dim_sizes[1] * dim_sizes[2] * dim_sizes[3];
-
+
printf("batch_dim = %lu, image_size = %lu \n", batch_dim, image_size);
-
- float* gold_data = (float*) gold_tensor->host_data;
- float* approx_data = (float*) approx_tensor->host_data;
- FILE* fp = fopen("img_psnr.txt", "w+");
+ float *gold_data = (float *)gold_tensor->host_data;
+ float *approx_data = (float *)approx_tensor->host_data;
+
+ FILE *fp = fopen("img_psnr.txt", "w+");
float sum_psnr = 0.0;
- int num_errors = 0;
- for(size_t i = 0; i < batch_dim; i++){
+ int num_errors = 0;
+ for (size_t i = 0; i < batch_dim; i++) {
float mse_sum = 0.0;
- float max_val = -999999;
+ float max_val = -999999;
size_t offset = i * image_size;
-
- for(size_t j = 0; j < image_size; j++){
+
+ for (size_t j = 0; j < image_size; j++) {
float diff = gold_data[offset + j] - approx_data[offset + j];
float diff_square = diff * diff;
mse_sum += diff_square;
- if(max_val < gold_data[offset + j]){
- max_val = gold_data[offset + j];
- }
+ if (max_val < gold_data[offset + j]) {
+ max_val = gold_data[offset + j];
+ }
}
mse_sum = mse_sum / image_size;
@@ -799,7 +746,7 @@ float computePSNRViolation(void* gold_ptr, void* approx_ptr, float PSNR_threshol
sum_psnr += psnr;
if (psnr < PSNR_threshold)
- num_errors += 1;
+ num_errors += 1;
printf("PSNR value = %f \n", psnr);
psnr_list.push_back(psnr);
@@ -817,39 +764,35 @@ float computePSNRViolation(void* gold_ptr, void* approx_ptr, float PSNR_threshol
float avg_psnr = sum_psnr / batch_dim;
printf("*** avg_psnr = %f \n\n", avg_psnr);
dumpAvgPSNR(avg_psnr);
-
+
float success_rate = 100.0 - violation_rate;
dumpFinalAccuracy(success_rate);
fclose(fp);
-
float var = 0.0;
- for(size_t i = 0; i < batch_dim; i++){
- var = var + (psnr_list[i] - avg_psnr) * (psnr_list[i] - avg_psnr);
+ for (size_t i = 0; i < batch_dim; i++) {
+ var = var + (psnr_list[i] - avg_psnr) * (psnr_list[i] - avg_psnr);
}
var /= batch_dim;
float std = sqrt(var);
dumpPSNRStd(std);
-
- return violation_rate;
-}
+ return violation_rate;
+}
-void dumpOutput(void* output_ptr, const char* file_name){
+void dumpOutput(void *output_ptr, const char *file_name) {
- struct Tensor* out_tensor = (struct Tensor*) output_ptr;
+ struct Tensor *out_tensor = (struct Tensor *)output_ptr;
size_t size_in_bytes = out_tensor->size_in_bytes;
- printf ("** Output size = %lu \n", size_in_bytes);
-
- float* host_data = (float*) out_tensor->host_data;
- FILE* fd = fopen(file_name, "w+");
+ printf("** Output size = %lu \n", size_in_bytes);
+
+ float *host_data = (float *)out_tensor->host_data;
+ FILE *fd = fopen(file_name, "w+");
fwrite(host_data, 1, size_in_bytes, fd);
fclose(fd);
}
-
-
#endif
diff --git a/hpvm/test/dnn_benchmarks/hpvm-c/lit.cfg.py b/hpvm/test/dnn_benchmarks/hpvm-c/lit.cfg.py
new file mode 100644
index 0000000000000000000000000000000000000000..74703a5c140ee2b05cec7024d7335c166af4a1e4
--- /dev/null
+++ b/hpvm/test/dnn_benchmarks/hpvm-c/lit.cfg.py
@@ -0,0 +1,27 @@
+# -*- Python -*-
+
+# Configuration file for the 'lit' test runner.
+
+import os
+
+import lit.formats
+from lit.llvm import llvm_config
+
+# name: The name of this test suite.
+config.name = "HPVM-DNN"
+
+# testFormat: The test format to use to interpret tests.
+config.test_format = lit.formats.ShTest(False)
+
+# suffixes: A list of file extensions to treat as test files. This is overriden
+# by individual lit.local.cfg files in the test subdirectories.
+config.suffixes = [".test"]
+
+# test_source_root: The root path where tests are located.
+# test_exec_root: The root path where tests should be run.
+current_source_dir = os.path.dirname(os.path.relpath(__file__, config.llvm_src_root))
+current_binary_dir = os.path.join(config.llvm_obj_root, current_source_dir)
+config.test_source_root = config.test_exec_root = current_binary_dir
+
+# Tweak the PATH to include the tools dir.
+llvm_config.with_environment("PATH", config.llvm_tools_dir, append_path=True)
diff --git a/hpvm/test/dnn_benchmarks/profiling/CMakeLists.txt b/hpvm/test/dnn_benchmarks/profiling/CMakeLists.txt
new file mode 100644
index 0000000000000000000000000000000000000000..712741c0e347acfc84e37bc2c91d998f549c7077
--- /dev/null
+++ b/hpvm/test/dnn_benchmarks/profiling/CMakeLists.txt
@@ -0,0 +1,14 @@
+# --[ llvm-lit test setup
+# lit.cfg.py looks for tests in CMAKE_CURRENT_BINARY_DIR (see lit.cfg.py)
+# as most of the tests require some kind of compilation / generation
+# which is best done over there.
+configure_lit_site_cfg(
+ ../../lit.site.cfg.py.in
+ ${CMAKE_CURRENT_BINARY_DIR}/lit.site.cfg.py
+ MAIN_CONFIG
+ ${CMAKE_CURRENT_SOURCE_DIR}/lit.cfg.py
+)
+add_lit_testsuite(check-hpvm-profiler "Run tests for package hpvm-profiler"
+ ${CMAKE_CURRENT_BINARY_DIR}
+ DEPENDS dnn_benchmarks # Requires all dnn benchmarks
+)
diff --git a/hpvm/test/dnn_benchmarks/profiling/alexnet2_cifar10.test b/hpvm/test/dnn_benchmarks/profiling/alexnet2_cifar10.test
new file mode 100644
index 0000000000000000000000000000000000000000..455a3e75a7aff4ac76123cb62e860701e8397713
--- /dev/null
+++ b/hpvm/test/dnn_benchmarks/profiling/alexnet2_cifar10.test
@@ -0,0 +1 @@
+RUN: test_hpvm_c_profiling.py alexnet2_cifar10
\ No newline at end of file
diff --git a/hpvm/test/dnn_benchmarks/profiling/alexnet_cifar10.test b/hpvm/test/dnn_benchmarks/profiling/alexnet_cifar10.test
new file mode 100644
index 0000000000000000000000000000000000000000..62c667a249e514a17f8ea809f364c4e65c3332dd
--- /dev/null
+++ b/hpvm/test/dnn_benchmarks/profiling/alexnet_cifar10.test
@@ -0,0 +1 @@
+RUN: test_hpvm_c_profiling.py alexnet_cifar10
\ No newline at end of file
diff --git a/hpvm/test/dnn_benchmarks/profiling/jetson_clocks.sh b/hpvm/test/dnn_benchmarks/profiling/jetson_clocks.sh
new file mode 100755
index 0000000000000000000000000000000000000000..a15af4ba731b3ec175f4cfc09602a519831d79d6
--- /dev/null
+++ b/hpvm/test/dnn_benchmarks/profiling/jetson_clocks.sh
@@ -0,0 +1,400 @@
+#!/bin/bash
+# Copyright (c) 2015-2017, NVIDIA CORPORATION. All rights reserved.
+#
+# Redistribution and use in source and binary forms, with or without
+# modification, are permitted provided that the following conditions
+# are met:
+# * Redistributions of source code must retain the above copyright
+# notice, this list of conditions and the following disclaimer.
+# * Redistributions in binary form must reproduce the above copyright
+# notice, this list of conditions and the following disclaimer in the
+# documentation and/or other materials provided with the distribution.
+# * Neither the name of NVIDIA CORPORATION nor the names of its
+# contributors may be used to endorse or promote products derived
+# from this software without specific prior written permission.
+#
+# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
+# EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
+# PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
+# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+# PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
+# OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+CONF_FILE=${HOME}/l4t_dfs.conf
+RED='\e[0;31m'
+GREEN='\e[0;32m'
+BLUE='\e[0;34m'
+BRED='\e[1;31m'
+BGREEN='\e[1;32m'
+BBLUE='\e[1;34m'
+NC='\e[0m' # No Color
+
+usage()
+{
+ if [ "$1" != "" ]; then
+ echo -e ${RED}"$1"${NC}
+ fi
+
+ cat >& 2 <<EOF
+Maximize jetson performance by setting static max frequency to CPU, GPU and EMC clocks.
+Usage:
+jetson_clocks.sh [options]
+ options,
+ --show display current settings
+ --store [file] store current settings to a file (default: \${HOME}/l4t_dfs.conf)
+ --restore [file] restore saved settings from a file (default: \${HOME}/l4t_dfs.conf)
+ run jetson_clocks.sh without any option to set static max frequency to CPU, GPU and EMC clocks.
+EOF
+
+ exit 0
+}
+
+restore()
+{
+ for conf in `cat "${CONF_FILE}"`; do
+ file=`echo $conf | cut -f1 -d :`
+ data=`echo $conf | cut -f2 -d :`
+ case "${file}" in
+ /sys/devices/system/cpu/cpu*/online |\
+ /sys/kernel/debug/clk/override*/state)
+ if [ `cat $file` -ne $data ]; then
+ echo "${data}" > "${file}"
+ fi
+ ;;
+ /sys/devices/system/cpu/cpu*/cpufreq/scaling_min_freq |\
+ /sys/kernel/debug/tegra_cpufreq/*_CLUSTER/cc3/enable)
+ echo "${data}" > "${file}" 2>/dev/null
+ ;;
+ *)
+ echo "${data}" > "${file}"
+ ret=$?
+ if [ ${ret} -ne 0 ]; then
+ echo "Error: Failed to restore $file"
+ fi
+ ;;
+ esac
+ done
+}
+
+store()
+{
+ for file in $@; do
+ if [ -e "${file}" ]; then
+ echo "${file}:`cat ${file}`" >> "${CONF_FILE}"
+ fi
+ done
+}
+
+do_fan()
+{
+ # Jetson-TK1 CPU fan is always ON.
+ if [ "${machine}" = "jetson-tk1" ] ; then
+ return
+ fi
+
+ if [ ! -w /sys/kernel/debug/tegra_fan/target_pwm ]; then
+ echo "Can't access Fan!"
+ return
+ fi
+
+ case "${ACTION}" in
+ show)
+ echo "Fan: speed=`cat /sys/kernel/debug/tegra_fan/target_pwm`"
+ ;;
+ store)
+ store "/sys/kernel/debug/tegra_fan/target_pwm"
+ ;;
+ *)
+ FAN_SPEED=255
+ echo "${FAN_SPEED}" > /sys/kernel/debug/tegra_fan/target_pwm
+ ;;
+ esac
+}
+
+do_clusterswitch()
+{
+ case "${ACTION}" in
+ show)
+ if [ -d "/sys/kernel/cluster" ]; then
+ ACTIVE_CLUSTER=`cat /sys/kernel/cluster/active`
+ echo "CPU Cluster Switching: Active Cluster ${ACTIVE_CLUSTER}"
+ else
+ echo "CPU Cluster Switching: Disabled"
+ fi
+ ;;
+ store)
+ if [ -d "/sys/kernel/cluster" ]; then
+ store "/sys/kernel/cluster/immediate"
+ store "/sys/kernel/cluster/force"
+ store "/sys/kernel/cluster/active"
+ fi
+ ;;
+ *)
+ if [ -d "/sys/kernel/cluster" ]; then
+ echo 1 > /sys/kernel/cluster/immediate
+ echo 0 > /sys/kernel/cluster/force
+ echo G > /sys/kernel/cluster/active
+ fi
+ ;;
+ esac
+}
+
+do_hotplug()
+{
+ case "${ACTION}" in
+ show)
+ echo "Online CPUs: `cat /sys/devices/system/cpu/online`"
+ ;;
+ store)
+ for file in /sys/devices/system/cpu/cpu[0-9]/online; do
+ store "${file}"
+ done
+ ;;
+ *)
+ if [ "${SOCFAMILY}" != "tegra186" ]; then
+ for file in /sys/devices/system/cpu/cpu*/online; do
+ if [ `cat $file` -eq 0 ]; then
+ echo 1 > "${file}"
+ fi
+ done
+ fi
+ esac
+}
+
+do_cpu()
+{
+ FREQ_GOVERNOR="cpufreq/scaling_governor"
+ CPU_MIN_FREQ="cpufreq/scaling_min_freq"
+ CPU_MAX_FREQ="cpufreq/scaling_max_freq"
+ CPU_CUR_FREQ="cpufreq/scaling_cur_freq"
+ CPU_SET_SPEED="cpufreq/scaling_setspeed"
+ INTERACTIVE_SETTINGS="/sys/devices/system/cpu/cpufreq/interactive"
+ SCHEDUTIL_SETTINGS="/sys/devices/system/cpu/cpufreq/schedutil"
+
+ case "${ACTION}" in
+ show)
+ for folder in /sys/devices/system/cpu/cpu[0-9]; do
+ CPU=`basename ${folder}`
+ if [ -e "${folder}/${FREQ_GOVERNOR}" ]; then
+ echo "$CPU: Gonvernor=`cat ${folder}/${FREQ_GOVERNOR}`" \
+ "MinFreq=`cat ${folder}/${CPU_MIN_FREQ}`" \
+ "MaxFreq=`cat ${folder}/${CPU_MAX_FREQ}`" \
+ "CurrentFreq=`cat ${folder}/${CPU_CUR_FREQ}`"
+ fi
+ done
+ ;;
+ store)
+ store "/sys/module/qos/parameters/enable"
+
+ for file in \
+ /sys/devices/system/cpu/cpu[0-9]/cpufreq/scaling_min_freq; do
+ store "${file}"
+ done
+
+ if [ "${SOCFAMILY}" = "tegra186" ]; then
+ store "/sys/kernel/debug/tegra_cpufreq/M_CLUSTER/cc3/enable"
+ store "/sys/kernel/debug/tegra_cpufreq/B_CLUSTER/cc3/enable"
+ fi
+ ;;
+ *)
+ echo 0 > /sys/module/qos/parameters/enable
+
+ if [ "${SOCFAMILY}" = "tegra186" ]; then
+ echo 0 > /sys/kernel/debug/tegra_cpufreq/M_CLUSTER/cc3/enable 2>/dev/null
+ echo 0 > /sys/kernel/debug/tegra_cpufreq/B_CLUSTER/cc3/enable 2>/dev/null
+ fi
+
+ for folder in /sys/devices/system/cpu/cpu[0-9]; do
+ cat "${folder}/${CPU_MAX_FREQ}" > "${folder}/${CPU_MIN_FREQ}" 2>/dev/null
+ done
+ ;;
+ esac
+}
+
+do_gpu()
+{
+ case "${SOCFAMILY}" in
+ tegra186)
+ GPU_MIN_FREQ="/sys/devices/17000000.gp10b/devfreq/17000000.gp10b/min_freq"
+ GPU_MAX_FREQ="/sys/devices/17000000.gp10b/devfreq/17000000.gp10b/max_freq"
+ GPU_CUR_FREQ="/sys/devices/17000000.gp10b/devfreq/17000000.gp10b/cur_freq"
+ GPU_RAIL_GATE="/sys/devices/17000000.gp10b/railgate_enable"
+ ;;
+ tegra210)
+ GPU_MIN_FREQ="/sys/devices/57000000.gpu/devfreq/57000000.gpu/min_freq"
+ GPU_MAX_FREQ="/sys/devices/57000000.gpu/devfreq/57000000.gpu/max_freq"
+ GPU_CUR_FREQ="/sys/devices/57000000.gpu/devfreq/57000000.gpu/cur_freq"
+ GPU_RAIL_GATE="/sys/devices/57000000.gpu/railgate_enable"
+ ;;
+ *)
+ echo "Error! unsupported SOC ${SOCFAMILY}"
+ exit 1;
+ ;;
+ esac
+
+ case "${ACTION}" in
+ show)
+ echo "GPU MinFreq=`cat ${GPU_MIN_FREQ}`" \
+ "MaxFreq=`cat ${GPU_MAX_FREQ}`" \
+ "CurrentFreq=`cat ${GPU_CUR_FREQ}`"
+ ;;
+ store)
+ store "${GPU_MIN_FREQ}"
+ store "${GPU_RAIL_GATE}"
+ ;;
+ *)
+ echo 0 > "${GPU_RAIL_GATE}"
+ cat "${GPU_MAX_FREQ}" > "${GPU_MIN_FREQ}"
+ ret=$?
+ if [ ${ret} -ne 0 ]; then
+ echo "Error: Failed to max GPU frequency!"
+ fi
+ ;;
+ esac
+}
+
+do_emc()
+{
+ case "${SOCFAMILY}" in
+ tegra186)
+ EMC_ISO_CAP="/sys/kernel/nvpmodel_emc_cap/emc_iso_cap"
+ EMC_MIN_FREQ="/sys/kernel/debug/bpmp/debug/clk/emc/min_rate"
+ EMC_MAX_FREQ="/sys/kernel/debug/bpmp/debug/clk/emc/max_rate"
+ EMC_CUR_FREQ="/sys/kernel/debug/clk/emc/clk_rate"
+ EMC_UPDATE_FREQ="/sys/kernel/debug/bpmp/debug/clk/emc/rate"
+ EMC_FREQ_OVERRIDE="/sys/kernel/debug/bpmp/debug/clk/emc/mrq_rate_locked"
+ ;;
+ tegra210)
+ EMC_MIN_FREQ="/sys/kernel/debug/tegra_bwmgr/emc_min_rate"
+ EMC_MAX_FREQ="/sys/kernel/debug/tegra_bwmgr/emc_max_rate"
+ EMC_CUR_FREQ="/sys/kernel/debug/clk/override.emc/clk_rate"
+ EMC_UPDATE_FREQ="/sys/kernel/debug/clk/override.emc/clk_update_rate"
+ EMC_FREQ_OVERRIDE="/sys/kernel/debug/clk/override.emc/clk_state"
+ ;;
+ *)
+ echo "Error! unsupported SOC ${SOCFAMILY}"
+ exit 1;
+ ;;
+
+ esac
+
+ if [ "${SOCFAMILY}" = "tegra186" ]; then
+ emc_cap=`cat "${EMC_ISO_CAP}"`
+ emc_fmax=`cat "${EMC_MAX_FREQ}"`
+ if [ "$emc_cap" -gt 0 ] && [ "$emc_cap" -lt "$emc_fmax" ]; then
+ EMC_MAX_FREQ="${EMC_ISO_CAP}"
+ fi
+ fi
+
+ case "${ACTION}" in
+ show)
+ echo "EMC MinFreq=`cat ${EMC_MIN_FREQ}`" \
+ "MaxFreq=`cat ${EMC_MAX_FREQ}`" \
+ "CurrentFreq=`cat ${EMC_CUR_FREQ}`" \
+ "FreqOverride=`cat ${EMC_FREQ_OVERRIDE}`"
+ ;;
+ store)
+ store "${EMC_FREQ_OVERRIDE}"
+ ;;
+ *)
+ cat "${EMC_MAX_FREQ}" > "${EMC_UPDATE_FREQ}"
+ echo 1 > "${EMC_FREQ_OVERRIDE}"
+ ;;
+ esac
+}
+
+main ()
+{
+ while [ -n "$1" ]; do
+ case "$1" in
+ --show)
+ echo "SOC family:${SOCFAMILY} Machine:${machine}"
+ ACTION=show
+ ;;
+ --store)
+ [ -n "$2" ] && CONF_FILE=$2
+ ACTION=store
+ shift 1
+ ;;
+ --restore)
+ [ -n "$2" ] && CONF_FILE=$2
+ ACTION=restore
+ shift 1
+ ;;
+ -h|--help)
+ usage
+ exit 0
+ ;;
+ *)
+ usage "Unknown option: $1"
+ exit 1
+ ;;
+ esac
+ shift 1
+ done
+
+ [ `whoami` != root ] && \
+ echo Error: Run this script\($0\) as a root user && exit 1
+
+ case $ACTION in
+ store)
+ if [ -e "${CONF_FILE}" ]; then
+ echo "File $CONF_FILE already exists. Can I overwrite it? Y/N:"
+ read answer
+ case $answer in
+ y|Y)
+ rm -f $CONF_FILE
+ ;;
+ *)
+ echo "Error: file $CONF_FILE already exists!"
+ exit 1
+ ;;
+ esac
+ fi
+ ;;
+ restore)
+ if [ ! -e "${CONF_FILE}" ]; then
+ echo "Error: $CONF_FILE file not found !"
+ exit 1
+ fi
+ restore
+ exit 0
+ ;;
+ esac
+
+ do_hotplug
+ do_clusterswitch
+ do_cpu
+ do_gpu
+ do_emc
+ do_fan
+}
+
+if [ -e "/sys/devices/soc0/family" ]; then
+ SOCFAMILY="`cat /sys/devices/soc0/family`"
+ if [ -e "/sys/devices/soc0/machine" ]; then
+ machine=`cat /sys/devices/soc0/machine`
+ fi
+elif [ -e "/proc/device-tree/compatible" ]; then
+ grep "nvidia,tegra210" /proc/device-tree/compatible &>/dev/null
+ if [ $? -eq 0 ]; then
+ SOCFAMILY="tegra210"
+ else
+ grep "nvidia,tegra186" /proc/device-tree/compatible &>/dev/null
+ if [ $? -eq 0 ]; then
+ SOCFAMILY="tegra186"
+ fi
+ fi
+
+ if [ -e "/proc/device-tree/model" ]; then
+ machine="`cat /proc/device-tree/model`"
+ fi
+fi
+
+main $@
+exit 0
diff --git a/hpvm/test/dnn_benchmarks/profiling/lenet_mnist.test b/hpvm/test/dnn_benchmarks/profiling/lenet_mnist.test
new file mode 100644
index 0000000000000000000000000000000000000000..88856a8913f2c9fb275187d65d443c50aa8bf583
--- /dev/null
+++ b/hpvm/test/dnn_benchmarks/profiling/lenet_mnist.test
@@ -0,0 +1 @@
+RUN: test_hpvm_c_profiling.py lenet_mnist
\ No newline at end of file
diff --git a/hpvm/test/dnn_benchmarks/profiling/lit.cfg.py b/hpvm/test/dnn_benchmarks/profiling/lit.cfg.py
new file mode 100644
index 0000000000000000000000000000000000000000..c3584478209402a308ed17ba2c3e5994a49dab76
--- /dev/null
+++ b/hpvm/test/dnn_benchmarks/profiling/lit.cfg.py
@@ -0,0 +1,34 @@
+# -*- Python -*-
+
+# Configuration file for the 'lit' test runner.
+
+import os
+
+import lit.formats
+from lit.llvm import llvm_config
+
+# name: The name of this test suite.
+config.name = "HPVM-Profiler"
+
+# testFormat: The test format to use to interpret tests.
+config.test_format = lit.formats.ShTest(False)
+
+# suffixes: A list of file extensions to treat as test files. This is overriden
+# by individual lit.local.cfg files in the test subdirectories.
+config.suffixes = [".test"]
+
+# test_source_root: The root path where tests are located.
+config.test_source_root = os.path.dirname(__file__)
+
+# test_exec_root: The root path where tests should be run.
+current_source_dir = os.path.dirname(os.path.relpath(__file__, config.llvm_src_root))
+current_binary_dir = os.path.join(config.llvm_obj_root, current_source_dir)
+config.test_exec_root = current_binary_dir
+
+# Tweak the PATH to include the tools dir.
+llvm_config.with_environment("PATH", config.llvm_tools_dir, append_path=True)
+
+llvm_config.use_default_substitutions()
+
+# Add substitution for our main script in this directory.
+llvm_config.add_tool_substitutions(["test_hpvm_c_profiling.py"], config.test_source_root)
diff --git a/hpvm/test/dnn_benchmarks/profiling/mobilenet_cifar10.test b/hpvm/test/dnn_benchmarks/profiling/mobilenet_cifar10.test
new file mode 100644
index 0000000000000000000000000000000000000000..a40981c9408b52f45ae9a58ab3895e12889bf665
--- /dev/null
+++ b/hpvm/test/dnn_benchmarks/profiling/mobilenet_cifar10.test
@@ -0,0 +1 @@
+RUN: test_hpvm_c_profiling.py mobilenet_cifar10
\ No newline at end of file
diff --git a/hpvm/test/dnn_benchmarks/profiling/resnet18_cifar10.test b/hpvm/test/dnn_benchmarks/profiling/resnet18_cifar10.test
new file mode 100644
index 0000000000000000000000000000000000000000..5d09297309e6f2ac48c23e0c529021144d6734e7
--- /dev/null
+++ b/hpvm/test/dnn_benchmarks/profiling/resnet18_cifar10.test
@@ -0,0 +1 @@
+RUN: test_hpvm_c_profiling.py resnet18_cifar10
\ No newline at end of file
diff --git a/hpvm/test/dnn_benchmarks/profiling/test_hpvm_c_profiling.py b/hpvm/test/dnn_benchmarks/profiling/test_hpvm_c_profiling.py
new file mode 100755
index 0000000000000000000000000000000000000000..5f4a96740cedb05295e4fcde0c5dfa65a0be34cc
--- /dev/null
+++ b/hpvm/test/dnn_benchmarks/profiling/test_hpvm_c_profiling.py
@@ -0,0 +1,20 @@
+#!/usr/bin/env python3
+from pathlib import Path
+from sys import argv
+
+from hpvm_profiler import profile_configs, read_hpvm_configs
+
+# relative to cwd()
+benchmarks_bindir = Path("../hpvm-c")
+# relative to location of this file
+benchmarks_srcdir = Path(__file__).parent / "../hpvm-c/benchmarks"
+# We're called in the "current" binary directory.
+# For example (depending on where build dir is),
+# "hpvm/build/tools/hpvm/test/dnn_benchmarks/profiling".
+# So we know where the benchmark binaries are due to source directory structure,
+# and this is not hardcoding.
+dnn = argv[1]
+bench_bin_file = benchmarks_bindir / dnn
+config_file = benchmarks_srcdir / dnn / "data/tuner_confs.txt"
+out_config_file = f"./{dnn}.txt"
+profile_configs(bench_bin_file, config_file, out_config_file)
diff --git a/hpvm/test/dnn_benchmarks/pytorch/test_frontend.py b/hpvm/test/dnn_benchmarks/pytorch/test_frontend.py
index 19f17366459a7684c6df8a940438b661cf7f6029..2fb1de17ee226571e6cd6b808640bf35280932db 100644
--- a/hpvm/test/dnn_benchmarks/pytorch/test_frontend.py
+++ b/hpvm/test/dnn_benchmarks/pytorch/test_frontend.py
@@ -39,7 +39,7 @@ for model_cls, nch, img_size, batch_size, pathname in benchmarks:
params / "test_input.bin", params / "test_labels.bin", dataset_shape
)
model: Module = model_cls()
- checkpoint = self_folder / "../model_params" / f"{pathname}.pth.tar"
+ checkpoint = self_folder / "../model_params/pytorch" / f"{pathname}.pth.tar"
model.load_state_dict(torch.load(checkpoint.as_posix()))
build_dir = codegen_dir / "build"
diff --git a/hpvm/test/dnn_benchmarks/scripts/run_dnn.py b/hpvm/test/dnn_benchmarks/scripts/run_dnn.py
deleted file mode 100644
index 2eed6739a76c7251ea60ed77df9730b0be9ac034..0000000000000000000000000000000000000000
--- a/hpvm/test/dnn_benchmarks/scripts/run_dnn.py
+++ /dev/null
@@ -1,212 +0,0 @@
-import os.path
-from os import path
-import sys
-#import matplotlib.pyplot as plt
-
-
-binary_dir = "../../../build/tools/hpvm/test/dnn_benchmarks/"
-
-accuracy_file = "final_accuracy"
-profile_file = "profile_data.txt"
-profile_file_prefix = "profile_info_"
-
-temp_file_name = "temp.txt"
-pred_binary_prefix = "test_"
-pred_binary_suffix = "_pred"
-
-rt_binary_suffix = "_rt_pred"
-max_num_runs = 20
-
-
-def max_num_configs (config_file):
- num_configs = 0
- with open(config_file, "r") as f:
- for line in f:
- if "conf" in line:
- num_configs = num_configs + 1
- return (num_configs + 1)
-
-
-def read_and_write_config (config_file, config_num, temp_file):
- config = ""
- print("--CONFIG FILE: " + config_file)
- print("--CONFIG NUM: " + str(config_num))
- print("--TEMP FILE: " + temp_file)
- with open(config_file, "r") as f:
- conf = "conf" + str(config_num)
- read_config = False
- read_first_line = False
- for line in f:
- if read_first_line == False:
- config = config + line
- read_first_line = True
- continue
- if "-----" in line and read_config == True:
- read_config = False
- config = config + line
- break
- if read_config == True:
- config = config + line
- continue
- if conf in line:
- read_config = True
- config = config + "+++++\n"
- config = config + line
- print("config: ")
- print(config)
- with open(temp_file, "w") as f:
- f.write(config)
-
-
-def get_avg_exec_time(profile_file_path, config_num):
- prof_file = profile_file_path + profile_file_prefix + str(config_num) + ".txt"
- print("PROFILE FILE: " + prof_file)
- with open(prof_file, "r") as f:
- for line in f:
- if "Total Time" in line:
- print("LINE: " + line)
- time = line.strip().split() [3]
- print("TIME: " + time)
- return float(time)
- print("ERROR")
- sys.exit()
- return float(-1)
-
-def get_exec_time(config_file):
- print("CONFIG FILE: " + config_file)
- with open(config_file, "r") as f:
- for line in f:
- if "conf" in line:
- print("LINE: " + line)
- time = line.strip().split() [1]
- print("TIME: " + time)
- return float(time)
- print("ERROR")
- sys.exit()
- return float(-1)
-
-def get_avg_exec_accuracy(file_name):
- with open(file_name, "r") as f:
- for line in f:
- accuracy = line.strip().split() [0]
- print("ACCURACY: " + accuracy)
- return float(accuracy)
- print("ERROR")
- sys.exit()
- return float(-1)
-
-def get_exec_accuracy(config_file):
- with open(config_file, "r") as f:
- for line in f:
- if "conf" in line:
- print("LINE: " + line)
- acc = line.strip().split() [4]
- print("ACCURACY: " + acc)
- return float(acc)
- print("ERROR")
- sys.exit()
- return float(-1)
-
-def predictive_tuning_exec(dnn_name):
- #num_args = len(sys.argv)
- #binary_files = list()
- #arg = 2
- #while arg < num_args:
- # binary_files.append(sys.argv[arg])
- # arg = arg + 1
-
- #for dnn_name in binary_files:
- dnn_dir = "../benchmarks/" + dnn_name
- binary_name = binary_dir + pred_binary_prefix + dnn_name + pred_binary_suffix
- pred_dir = dnn_dir + "/predictive/"
- config_file = pred_dir + dnn_name + ".txt"
- temp_file = pred_dir + temp_file_name
- print("dnn_dir: " + dnn_dir)
- print("binary name: " + binary_name)
- print("pred_dir: " + pred_dir)
- print("config_file: " + config_file)
- print("temp_file: " + temp_file)
- exec_command = "rm " + temp_file + " " + accuracy_file + " " + profile_file + " " + pred_dir + "profile*"
- print(exec_command)
- os.system(exec_command)
- config_num = 1
- max_configs = max_num_configs(config_file)
- baseline_time = 0
- baseline_acc = 0
- print("MAX CONFIGS: " + str(max_configs))
- perf_list = list()
- acc_list = list()
- while config_num < max_configs:
- read_and_write_config(config_file, config_num, temp_file)
- exec_command = binary_name
- print(exec_command)
- os.system(exec_command)
- time = get_avg_exec_time(pred_dir, config_num - 1)
- acc = get_avg_exec_accuracy(accuracy_file)
- config_time = get_exec_time(temp_file)
- config_acc = get_exec_accuracy(temp_file)
- if config_num == 1:
- baseline_time = time
- baseline_acc = acc
- else:
- print("SPEEDUP: ")
- print(baseline_time/time)
- #time.append(baseline_time/time)
- print("CONFIG TIME: ")
- print(config_time)
- print("ACC LOSS: ")
- print(baseline_acc - acc)
- #acc_list.append(baseline_acc - acc)
- print("CONFIG ACC: ")
- print(config_acc)
- config_num = config_num + 1
- #plt.plot(perf_list, acc_list)
- #plt.xlabel("Speedups")
- #plt.ylabel("Accurancy loss")
- #plt.savefig(pred_dir + "tradeoff.pdf")
- #exec_command = "rm " + temp_file + " " + accuracy_file + " " + profile_file + " " + pred_dir + "profile*"
- #print(exec_command)
- #os.system(exec_command)
-
-
-def runtime_tuning_exec():
- num_args = len(sys.argv)
- binary_files = list()
- arg = 2
- while arg < num_args:
- binary_files.append(sys.argv[arg])
- arg = arg + 1
-
- for dnn_name in binary_files:
- binary_dir = "../benchmarks/" + dnn_name
- binary_name = binary_dir + rt_binary_suffix
- conf_dir = binary_dir + "/data"
- print("binary_dir: " + binary_dir)
- print("binary name: " + binary_name)
- run = 0
- while run < max_num_runs:
- exec_command = binary_name
- print(exec_command)
- os.system(exec_command)
- exec_command = "/home/nvidia/poll 13"
- print(exec_command)
- os.system(exec_command)
- exec_command = "mv " + conf_dir + "/profile_info_0.txt " + conf_dir + "/profile_info_out-run-" + str(run) + ".txt"
- print(exec_command)
- os.system(exec_command)
- run = run + 1
- exec_command = "rm -rf " + conf_dir + "/run_data"
- print(exec_command)
- os.system(exec_command)
- exec_command = "mkdir " + conf_dir + "/run_data"
- print(exec_command)
- os.system(exec_command)
-
-
-
-if __name__ == "__main__":
- if sys.argv[1] == "--runtime_tuning":
- runtime_tuning_exec()
- else:
- predictive_tuning_exec(sys.argv[1])
-
diff --git a/hpvm/test/dnn_benchmarks/scripts/run_dnns.py b/hpvm/test/dnn_benchmarks/scripts/run_dnns.py
deleted file mode 100644
index 0de85c7847309532db985d95aedbba02f2715059..0000000000000000000000000000000000000000
--- a/hpvm/test/dnn_benchmarks/scripts/run_dnns.py
+++ /dev/null
@@ -1,17 +0,0 @@
-import os
-import sys
-
-dnns = ["alexnet", "alexnet2", "vgg16_cifar10", "vgg16_cifar100", "resnet18", "mobilenet_cifar10", "alexnet_imagenet", "resnet50_imagenet", "vgg16_imagenet", "lenet_mnist"]
-#dnns = ["resnet50_imagenet","alexnet"]
-
-#if sys.argv[1] == "--runtime":
-# exec_command = "python3 run_dnn.py" + " --runtime_tuning " + dnns
-# print(exec_command)
-# os.system(exec_command)
-#else:
-if __name__ == "__main__":
- for dnn in dnns:
- exec_command = "python3 run_dnn.py " + dnn
- print(exec_command)
- os.system(exec_command)
-
diff --git a/hpvm/test/regressionTests/BuildDFG/AllocationNode.ll b/hpvm/test/hpvm_pass/BuildDFG/AllocationNode.ll
similarity index 100%
rename from hpvm/test/regressionTests/BuildDFG/AllocationNode.ll
rename to hpvm/test/hpvm_pass/BuildDFG/AllocationNode.ll
diff --git a/hpvm/test/regressionTests/BuildDFG/CreateNode.ll b/hpvm/test/hpvm_pass/BuildDFG/CreateNode.ll
similarity index 100%
rename from hpvm/test/regressionTests/BuildDFG/CreateNode.ll
rename to hpvm/test/hpvm_pass/BuildDFG/CreateNode.ll
diff --git a/hpvm/test/regressionTests/BuildDFG/CreateNodeAndEdge.ll b/hpvm/test/hpvm_pass/BuildDFG/CreateNodeAndEdge.ll
similarity index 100%
rename from hpvm/test/regressionTests/BuildDFG/CreateNodeAndEdge.ll
rename to hpvm/test/hpvm_pass/BuildDFG/CreateNodeAndEdge.ll
diff --git a/hpvm/test/regressionTests/BuildDFG/LeafBindEdge.ll b/hpvm/test/hpvm_pass/BuildDFG/LeafBindEdge.ll
similarity index 100%
rename from hpvm/test/regressionTests/BuildDFG/LeafBindEdge.ll
rename to hpvm/test/hpvm_pass/BuildDFG/LeafBindEdge.ll
diff --git a/hpvm/test/regressionTests/BuildDFG/LeafInComingBindEdge.ll b/hpvm/test/hpvm_pass/BuildDFG/LeafInComingBindEdge.ll
similarity index 100%
rename from hpvm/test/regressionTests/BuildDFG/LeafInComingBindEdge.ll
rename to hpvm/test/hpvm_pass/BuildDFG/LeafInComingBindEdge.ll
diff --git a/hpvm/test/regressionTests/BuildDFG/LeafNodeGetters.ll b/hpvm/test/hpvm_pass/BuildDFG/LeafNodeGetters.ll
similarity index 100%
rename from hpvm/test/regressionTests/BuildDFG/LeafNodeGetters.ll
rename to hpvm/test/hpvm_pass/BuildDFG/LeafNodeGetters.ll
diff --git a/hpvm/test/regressionTests/BuildDFG/OneRoot.ll b/hpvm/test/hpvm_pass/BuildDFG/OneRoot.ll
similarity index 100%
rename from hpvm/test/regressionTests/BuildDFG/OneRoot.ll
rename to hpvm/test/hpvm_pass/BuildDFG/OneRoot.ll
diff --git a/hpvm/test/regressionTests/BuildDFG/ThreeLevel.ll b/hpvm/test/hpvm_pass/BuildDFG/ThreeLevel.ll
similarity index 100%
rename from hpvm/test/regressionTests/BuildDFG/ThreeLevel.ll
rename to hpvm/test/hpvm_pass/BuildDFG/ThreeLevel.ll
diff --git a/hpvm/test/regressionTests/BuildDFG/ThreeLevelEdge.ll b/hpvm/test/hpvm_pass/BuildDFG/ThreeLevelEdge.ll
similarity index 100%
rename from hpvm/test/regressionTests/BuildDFG/ThreeLevelEdge.ll
rename to hpvm/test/hpvm_pass/BuildDFG/ThreeLevelEdge.ll
diff --git a/hpvm/test/regressionTests/BuildDFG/TwoLaunch.ll b/hpvm/test/hpvm_pass/BuildDFG/TwoLaunch.ll
similarity index 100%
rename from hpvm/test/regressionTests/BuildDFG/TwoLaunch.ll
rename to hpvm/test/hpvm_pass/BuildDFG/TwoLaunch.ll
diff --git a/hpvm/test/regressionTests/BuildDFG/TwoLevel.ll b/hpvm/test/hpvm_pass/BuildDFG/TwoLevel.ll
similarity index 100%
rename from hpvm/test/regressionTests/BuildDFG/TwoLevel.ll
rename to hpvm/test/hpvm_pass/BuildDFG/TwoLevel.ll
diff --git a/hpvm/test/regressionTests/BuildDFG/TwoLevelGraph.ll b/hpvm/test/hpvm_pass/BuildDFG/TwoLevelGraph.ll
similarity index 100%
rename from hpvm/test/regressionTests/BuildDFG/TwoLevelGraph.ll
rename to hpvm/test/hpvm_pass/BuildDFG/TwoLevelGraph.ll
diff --git a/hpvm/test/hpvm_pass/CMakeLists.txt b/hpvm/test/hpvm_pass/CMakeLists.txt
new file mode 100644
index 0000000000000000000000000000000000000000..fe929f4d6316b54e4b4b19db1221ae146534ee0b
--- /dev/null
+++ b/hpvm/test/hpvm_pass/CMakeLists.txt
@@ -0,0 +1,20 @@
+configure_lit_site_cfg(
+ ../lit.site.cfg.py.in
+ ${CMAKE_CURRENT_BINARY_DIR}/lit.site.cfg.py
+ MAIN_CONFIG
+ ${CMAKE_CURRENT_SOURCE_DIR}/lit.cfg.py
+)
+
+set(
+ HPVM_TEST_DEPENDS
+ opt hpvm-rt.bc
+ # Passes:
+ LLVMGenHPVM LLVMBuildDFG LLVMLocalMem LLVMClearDFG
+ LLVMDFG2LLVM_CPU LLVMDFG2LLVM_OpenCL
+ # Test utils:
+ FileCheck count not
+)
+add_lit_testsuite(check-hpvm-pass "Running HPVM test cases for the passes"
+ ${CMAKE_CURRENT_BINARY_DIR}
+ DEPENDS ${HPVM_TEST_DEPENDS}
+)
diff --git a/hpvm/test/regressionTests/ClearDFG/ThreeLevel.CPU.ll b/hpvm/test/hpvm_pass/ClearDFG/ThreeLevel.CPU.ll
similarity index 100%
rename from hpvm/test/regressionTests/ClearDFG/ThreeLevel.CPU.ll
rename to hpvm/test/hpvm_pass/ClearDFG/ThreeLevel.CPU.ll
diff --git a/hpvm/test/regressionTests/ClearDFG/ThreeLevel.OpenCLToCPU.ll b/hpvm/test/hpvm_pass/ClearDFG/ThreeLevel.OpenCLToCPU.ll
similarity index 100%
rename from hpvm/test/regressionTests/ClearDFG/ThreeLevel.OpenCLToCPU.ll
rename to hpvm/test/hpvm_pass/ClearDFG/ThreeLevel.OpenCLToCPU.ll
diff --git a/hpvm/test/regressionTests/ClearDFG/ThreeLevel.constmem.OpenCLToCPU.ll b/hpvm/test/hpvm_pass/ClearDFG/ThreeLevel.constmem.OpenCLToCPU.ll
similarity index 100%
rename from hpvm/test/regressionTests/ClearDFG/ThreeLevel.constmem.OpenCLToCPU.ll
rename to hpvm/test/hpvm_pass/ClearDFG/ThreeLevel.constmem.OpenCLToCPU.ll
diff --git a/hpvm/test/regressionTests/DFG2LLVM_CPU/OneLevel.codeGen.ll b/hpvm/test/hpvm_pass/DFG2LLVM_CPU/OneLevel.codeGen.ll
similarity index 100%
rename from hpvm/test/regressionTests/DFG2LLVM_CPU/OneLevel.codeGen.ll
rename to hpvm/test/hpvm_pass/DFG2LLVM_CPU/OneLevel.codeGen.ll
diff --git a/hpvm/test/regressionTests/DFG2LLVM_CPU/OneRootBasic.ll b/hpvm/test/hpvm_pass/DFG2LLVM_CPU/OneRootBasic.ll
similarity index 100%
rename from hpvm/test/regressionTests/DFG2LLVM_CPU/OneRootBasic.ll
rename to hpvm/test/hpvm_pass/DFG2LLVM_CPU/OneRootBasic.ll
diff --git a/hpvm/test/regressionTests/DFG2LLVM_CPU/ThreeLevel.OpenCL.ll b/hpvm/test/hpvm_pass/DFG2LLVM_CPU/ThreeLevel.OpenCL.ll
similarity index 100%
rename from hpvm/test/regressionTests/DFG2LLVM_CPU/ThreeLevel.OpenCL.ll
rename to hpvm/test/hpvm_pass/DFG2LLVM_CPU/ThreeLevel.OpenCL.ll
diff --git a/hpvm/test/regressionTests/DFG2LLVM_CPU/ThreeLevel.codeGen.ll b/hpvm/test/hpvm_pass/DFG2LLVM_CPU/ThreeLevel.codeGen.ll
similarity index 100%
rename from hpvm/test/regressionTests/DFG2LLVM_CPU/ThreeLevel.codeGen.ll
rename to hpvm/test/hpvm_pass/DFG2LLVM_CPU/ThreeLevel.codeGen.ll
diff --git a/hpvm/test/regressionTests/DFG2LLVM_CPU/ThreeLevel.cond.ll b/hpvm/test/hpvm_pass/DFG2LLVM_CPU/ThreeLevel.cond.ll
similarity index 100%
rename from hpvm/test/regressionTests/DFG2LLVM_CPU/ThreeLevel.cond.ll
rename to hpvm/test/hpvm_pass/DFG2LLVM_CPU/ThreeLevel.cond.ll
diff --git a/hpvm/test/regressionTests/DFG2LLVM_CPU/ThreeLevel.constmem.OpenCL.ll b/hpvm/test/hpvm_pass/DFG2LLVM_CPU/ThreeLevel.constmem.OpenCL.ll
similarity index 100%
rename from hpvm/test/regressionTests/DFG2LLVM_CPU/ThreeLevel.constmem.OpenCL.ll
rename to hpvm/test/hpvm_pass/DFG2LLVM_CPU/ThreeLevel.constmem.OpenCL.ll
diff --git a/hpvm/test/regressionTests/DFG2LLVM_CPU/TwoLevel.codeGen.ll b/hpvm/test/hpvm_pass/DFG2LLVM_CPU/TwoLevel.codeGen.ll
similarity index 100%
rename from hpvm/test/regressionTests/DFG2LLVM_CPU/TwoLevel.codeGen.ll
rename to hpvm/test/hpvm_pass/DFG2LLVM_CPU/TwoLevel.codeGen.ll
diff --git a/hpvm/test/regressionTests/DFG2LLVM_CPU/TwoRoot.ll b/hpvm/test/hpvm_pass/DFG2LLVM_CPU/TwoRoot.ll
similarity index 100%
rename from hpvm/test/regressionTests/DFG2LLVM_CPU/TwoRoot.ll
rename to hpvm/test/hpvm_pass/DFG2LLVM_CPU/TwoRoot.ll
diff --git a/hpvm/test/hpvm_pass/DFG2LLVM_CUDNN/batchNorm.hpvm.ll b/hpvm/test/hpvm_pass/DFG2LLVM_CUDNN/batchNorm.hpvm.ll
new file mode 100644
index 0000000000000000000000000000000000000000..3afd9273f86c1bb58f85fbab9dce3ec14d8243ab
--- /dev/null
+++ b/hpvm/test/hpvm_pass/DFG2LLVM_CUDNN/batchNorm.hpvm.ll
@@ -0,0 +1,151 @@
+; RUN: opt -load LLVMBuildDFG.so -load LLVMInPlaceDFGAnalysis.so -load LLVMDFG2LLVM_CUDNN.so -S -inplace -dfg2llvm-cudnn < %s | FileCheck %s
+; ModuleID = 'batchNorm.ll'
+source_filename = "batchNorm.cpp"
+target datalayout = "e-m:e-i64:64-f80:128-n8:16:32:64-S128"
+target triple = "x86_64-unknown-linux-gnu"
+
+%struct.out._Z9relu_nodePvm = type <{ i8*, i64 }>
+%struct.out._Z19batchNormLayer_nodePvmS_mS_mS_mS_m = type <{ i8*, i64 }>
+%struct.out._Z4rootPvmS_mS_mS_mS_m = type <{ i8*, i64 }>
+
+
+; CHECK-LABEL: i32 @main(
+; CHECK: call void @llvm_hpvm_initTensorRt(i32 0)
+; CHECK-NEXT: call void @llvm.hpvm.init()
+; CHECK: call void @hpvm_request_tensor(
+; CHECK: call void @llvm_hpvm_cleanupTensorRt()
+; CHECK-NEXT: call void @llvm.hpvm.cleanup()
+
+; CHECK-LABEL: @_Z19batchNormLayer_nodePvmS_mS_mS_mS_m_cloned_cudnn(
+; CHECK: call void @hpvm_request_tensor(
+; CHECK-NEXT: call void @hpvm_request_tensor(
+; CHECK-NEXT: call void @hpvm_request_tensor(
+; CHECK-NEXT: call void @hpvm_request_tensor(
+; CHECK-NEXT: call void @hpvm_request_tensor(
+; CHECK-NOT: call i8* @llvm.hpvm.tensor.batchnorm(i8* %t1, i8* %t2, i8* %t3, i8* %t4, i8* %t5, double 1.000000e-03)
+; CHECK: call i8* @tensorBatchNorm(i8* %t1, i8* %t2, i8* %t3, i8* %t4, i8* %t5, double 1.000000e-03)
+; CHECK: ret
+
+
+; CHECK-LABEL: @_Z9relu_nodePvm_cloned_cudnn(
+; CHECK: call void @hpvm_request_tensor(
+; CHECK-NOT: call i8* @llvm.hpvm.tensor.relu(i8* %t1)
+; CHECK: call i8* @tensorRelu(i8* %t1)
+; CHECK: ret
+
+
+; Function Attrs: norecurse nounwind uwtable
+define dso_local i32 @main() local_unnamed_addr #0 {
+entry:
+ call void @llvm.hpvm.init()
+ %call = tail call noalias i8* @malloc(i64 96) #3
+ %graphID = call i8* @llvm.hpvm.launch(i8* bitcast (%struct.out._Z4rootPvmS_mS_mS_mS_m (i8*, i64, i8*, i64, i8*, i64, i8*, i64, i8*, i64)* @_Z4rootPvmS_mS_mS_mS_m_cloned to i8*), i8* %call, i1 false)
+ call void @llvm.hpvm.wait(i8* %graphID)
+ %input = bitcast i8* %call to i8**
+ %0 = load i8*, i8** %input, align 1, !tbaa !5
+ tail call void @hpvm_request_tensor(i8* %0, i32 1) #3
+ call void @llvm.hpvm.cleanup()
+ ret i32 0
+}
+
+; Function Attrs: nofree nounwind
+declare dso_local noalias i8* @malloc(i64) local_unnamed_addr #1
+
+declare dso_local void @hpvm_request_tensor(i8*, i32) local_unnamed_addr #2
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.relu(i8*) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z9relu_nodePvm @_Z9relu_nodePvm_cloned(i8* in %t1, i64 %bytes_t1) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.relu(i8* %t1)
+ %returnStruct = insertvalue %struct.out._Z9relu_nodePvm undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z9relu_nodePvm %returnStruct, i64 0, 1
+ ret %struct.out._Z9relu_nodePvm %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.batchnorm(i8*, i8*, i8*, i8*, i8*, double) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z19batchNormLayer_nodePvmS_mS_mS_mS_m @_Z19batchNormLayer_nodePvmS_mS_mS_mS_m_cloned(i8* in %t1, i64 %bytes_t1, i8* in %t2, i64 %bytes_t2, i8* in %t3, i64 %bytes_t3, i8* in %t4, i64 %bytes_t4, i8* in %t5, i64 %bytes_t5) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.batchnorm(i8* %t1, i8* %t2, i8* %t3, i8* %t4, i8* %t5, double 1.000000e-03)
+ %returnStruct = insertvalue %struct.out._Z19batchNormLayer_nodePvmS_mS_mS_mS_m undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z19batchNormLayer_nodePvmS_mS_mS_mS_m %returnStruct, i64 0, 1
+ ret %struct.out._Z19batchNormLayer_nodePvmS_mS_mS_mS_m %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.createNode(i8*) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.bind.input(i8*, i32, i32, i1) #3
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.createEdge(i8*, i8*, i1, i32, i32, i1) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.bind.output(i8*, i32, i32, i1) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z4rootPvmS_mS_mS_mS_m @_Z4rootPvmS_mS_mS_mS_m_cloned(i8* in %input, i64 %input_bytes, i8* in %batch_normalization_1_gamma, i64 %batch_normalization_1_gamma_bytes, i8* in %batch_normalization_1_beta, i64 %batch_normalization_1_beta_bytes, i8* in %batch_normalization_1_mean, i64 %batch_normalization_1_mean_bytes, i8* in %batch_normalization_1_variance, i64 %batch_normalization_1_variance_bytes) #4 {
+entry:
+ %_Z19batchNormLayer_nodePvmS_mS_mS_mS_m_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z19batchNormLayer_nodePvmS_mS_mS_mS_m (i8*, i64, i8*, i64, i8*, i64, i8*, i64, i8*, i64)* @_Z19batchNormLayer_nodePvmS_mS_mS_mS_m_cloned to i8*))
+ call void @llvm.hpvm.bind.input(i8* %_Z19batchNormLayer_nodePvmS_mS_mS_mS_m_cloned.node, i32 0, i32 0, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z19batchNormLayer_nodePvmS_mS_mS_mS_m_cloned.node, i32 1, i32 1, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z19batchNormLayer_nodePvmS_mS_mS_mS_m_cloned.node, i32 2, i32 2, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z19batchNormLayer_nodePvmS_mS_mS_mS_m_cloned.node, i32 3, i32 3, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z19batchNormLayer_nodePvmS_mS_mS_mS_m_cloned.node, i32 4, i32 4, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z19batchNormLayer_nodePvmS_mS_mS_mS_m_cloned.node, i32 5, i32 5, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z19batchNormLayer_nodePvmS_mS_mS_mS_m_cloned.node, i32 6, i32 6, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z19batchNormLayer_nodePvmS_mS_mS_mS_m_cloned.node, i32 7, i32 7, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z19batchNormLayer_nodePvmS_mS_mS_mS_m_cloned.node, i32 8, i32 8, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z19batchNormLayer_nodePvmS_mS_mS_mS_m_cloned.node, i32 9, i32 9, i1 false)
+ %_Z9relu_nodePvm_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z9relu_nodePvm (i8*, i64)* @_Z9relu_nodePvm_cloned to i8*))
+ %output = call i8* @llvm.hpvm.createEdge(i8* %_Z19batchNormLayer_nodePvmS_mS_mS_mS_m_cloned.node, i8* %_Z9relu_nodePvm_cloned.node, i1 true, i32 0, i32 0, i1 false)
+ %output1 = call i8* @llvm.hpvm.createEdge(i8* %_Z19batchNormLayer_nodePvmS_mS_mS_mS_m_cloned.node, i8* %_Z9relu_nodePvm_cloned.node, i1 true, i32 1, i32 1, i1 false)
+ call void @llvm.hpvm.bind.output(i8* %_Z9relu_nodePvm_cloned.node, i32 0, i32 0, i1 false)
+ call void @llvm.hpvm.bind.output(i8* %_Z9relu_nodePvm_cloned.node, i32 1, i32 1, i1 false)
+ ret %struct.out._Z4rootPvmS_mS_mS_mS_m undef
+}
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.init() #3
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.launch(i8*, i8*, i1) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.wait(i8*) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.cleanup() #3
+
+attributes #0 = { norecurse nounwind uwtable "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "min-legal-vector-width"="0" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-jump-tables"="false" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+attributes #1 = { nofree nounwind "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+attributes #2 = { "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+attributes #3 = { nounwind }
+attributes #4 = { nounwind uwtable "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "min-legal-vector-width"="0" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-jump-tables"="false" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+
+!llvm.module.flags = !{!0}
+!llvm.ident = !{!1}
+!hpvm_hint_cudnn = !{!2, !3}
+!hpvm_hint_gpu = !{}
+!hpvm_hint_cpu = !{!4}
+!hpvm_hint_cpu_gpu = !{}
+!hpvm_hint_promise = !{}
+
+!0 = !{i32 1, !"wchar_size", i32 4}
+!1 = !{!"clang version 9.0.0 (https://gitlab.engr.illinois.edu/llvm/hpvm.git 5c964d17b48694847d60e6755519cbfa0603770f)"}
+!2 = !{%struct.out._Z9relu_nodePvm (i8*, i64)* @_Z9relu_nodePvm_cloned}
+!3 = !{%struct.out._Z19batchNormLayer_nodePvmS_mS_mS_mS_m (i8*, i64, i8*, i64, i8*, i64, i8*, i64, i8*, i64)* @_Z19batchNormLayer_nodePvmS_mS_mS_mS_m_cloned}
+!4 = !{%struct.out._Z4rootPvmS_mS_mS_mS_m (i8*, i64, i8*, i64, i8*, i64, i8*, i64, i8*, i64)* @_Z4rootPvmS_mS_mS_mS_m_cloned}
+!5 = !{!6, !7, i64 0}
+!6 = !{!"_ZTS6RootIn", !7, i64 0, !10, i64 8, !7, i64 16, !10, i64 24, !7, i64 32, !10, i64 40, !7, i64 48, !10, i64 56, !7, i64 64, !10, i64 72, !11, i64 80}
+!7 = !{!"any pointer", !8, i64 0}
+!8 = !{!"omnipotent char", !9, i64 0}
+!9 = !{!"Simple C++ TBAA"}
+!10 = !{!"long", !8, i64 0}
+!11 = !{!"_ZTS5ret_t", !7, i64 0, !10, i64 8}
diff --git a/hpvm/test/hpvm_pass/DFG2LLVM_CUDNN/matMul.hpvm.ll b/hpvm/test/hpvm_pass/DFG2LLVM_CUDNN/matMul.hpvm.ll
new file mode 100644
index 0000000000000000000000000000000000000000..978f3f87001249e111b56584fd85f6a28bfb30f7
--- /dev/null
+++ b/hpvm/test/hpvm_pass/DFG2LLVM_CUDNN/matMul.hpvm.ll
@@ -0,0 +1,135 @@
+; RUN: opt -load LLVMBuildDFG.so -load LLVMInPlaceDFGAnalysis.so -load LLVMDFG2LLVM_CUDNN.so -S -inplace -dfg2llvm-cudnn < %s | FileCheck %s
+; ModuleID = 'matMul.ll'
+source_filename = "matMul.cpp"
+target datalayout = "e-m:e-i64:64-f80:128-n8:16:32:64-S128"
+target triple = "x86_64-unknown-linux-gnu"
+
+%struct.out._Z9relu_nodePvm = type <{ i8*, i64 }>
+%struct.out._Z11matMul_nodePvmS_m = type <{ i8*, i64 }>
+%struct.out._Z4rootPvmS_m = type <{ i8*, i64 }>
+
+
+; CHECK-LABEL: i32 @main(
+; CHECK: call void @llvm_hpvm_initTensorRt(i32 0)
+; CHECK-NEXT: call void @llvm.hpvm.init()
+; CHECK: call void @hpvm_request_tensor(
+; CHECK: call void @llvm_hpvm_cleanupTensorRt()
+; CHECK-NEXT: call void @llvm.hpvm.cleanup()
+
+; CHECK-LABEL: @_Z11matMul_nodePvmS_m_cloned_cudnn(
+; CHECK: call void @hpvm_request_tensor(
+; CHECK-NEXT: call void @hpvm_request_tensor(
+; CHECK-NOT: call i8* @__hpvm__tensor_mul(i8* %t1, i8* %t2)
+; CHECK: call i8* @tensorGemmGPU(i8* %t1, i8* %t2)
+; CHECK: ret
+
+
+; Function Attrs: norecurse nounwind uwtable
+define dso_local i32 @main() local_unnamed_addr #0 {
+entry:
+ call void @llvm.hpvm.init()
+ %call = tail call noalias i8* @malloc(i64 48) #3
+ %graphID = call i8* @llvm.hpvm.launch(i8* bitcast (%struct.out._Z4rootPvmS_m (i8*, i64, i8*, i64)* @_Z4rootPvmS_m_cloned to i8*), i8* %call, i1 false)
+ call void @llvm.hpvm.wait(i8* %graphID)
+ %input = bitcast i8* %call to i8**
+ %0 = load i8*, i8** %input, align 1, !tbaa !5
+ tail call void @hpvm_request_tensor(i8* %0, i32 1) #3
+ call void @llvm.hpvm.cleanup()
+ ret i32 0
+}
+
+; Function Attrs: nofree nounwind
+declare dso_local noalias i8* @malloc(i64) local_unnamed_addr #1
+
+declare dso_local void @hpvm_request_tensor(i8*, i32) local_unnamed_addr #2
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.relu(i8*) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z9relu_nodePvm @_Z9relu_nodePvm_cloned(i8* in %t1, i64 %bytes_t1) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.relu(i8* %t1)
+ %returnStruct = insertvalue %struct.out._Z9relu_nodePvm undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z9relu_nodePvm %returnStruct, i64 0, 1
+ ret %struct.out._Z9relu_nodePvm %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.mul(i8*, i8*) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z11matMul_nodePvmS_m @_Z11matMul_nodePvmS_m_cloned(i8* in %t1, i64 %bytes_t1, i8* in %t2, i64 %bytes_t2) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.mul(i8* %t1, i8* %t2)
+ %returnStruct = insertvalue %struct.out._Z11matMul_nodePvmS_m undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z11matMul_nodePvmS_m %returnStruct, i64 0, 1
+ ret %struct.out._Z11matMul_nodePvmS_m %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.createNode(i8*) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.bind.input(i8*, i32, i32, i1) #3
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.createEdge(i8*, i8*, i1, i32, i32, i1) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.bind.output(i8*, i32, i32, i1) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z4rootPvmS_m @_Z4rootPvmS_m_cloned(i8* in %input, i64 %input_bytes, i8* in %m1, i64 %m1_bytes) #4 {
+entry:
+ %_Z11matMul_nodePvmS_m_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z11matMul_nodePvmS_m (i8*, i64, i8*, i64)* @_Z11matMul_nodePvmS_m_cloned to i8*))
+ call void @llvm.hpvm.bind.input(i8* %_Z11matMul_nodePvmS_m_cloned.node, i32 0, i32 0, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z11matMul_nodePvmS_m_cloned.node, i32 1, i32 1, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z11matMul_nodePvmS_m_cloned.node, i32 2, i32 2, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z11matMul_nodePvmS_m_cloned.node, i32 3, i32 3, i1 false)
+ %_Z9relu_nodePvm_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z9relu_nodePvm (i8*, i64)* @_Z9relu_nodePvm_cloned to i8*))
+ %output = call i8* @llvm.hpvm.createEdge(i8* %_Z11matMul_nodePvmS_m_cloned.node, i8* %_Z9relu_nodePvm_cloned.node, i1 true, i32 0, i32 0, i1 false)
+ %output1 = call i8* @llvm.hpvm.createEdge(i8* %_Z11matMul_nodePvmS_m_cloned.node, i8* %_Z9relu_nodePvm_cloned.node, i1 true, i32 1, i32 1, i1 false)
+ call void @llvm.hpvm.bind.output(i8* %_Z9relu_nodePvm_cloned.node, i32 0, i32 0, i1 false)
+ call void @llvm.hpvm.bind.output(i8* %_Z9relu_nodePvm_cloned.node, i32 1, i32 1, i1 false)
+ ret %struct.out._Z4rootPvmS_m undef
+}
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.init() #3
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.launch(i8*, i8*, i1) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.wait(i8*) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.cleanup() #3
+
+attributes #0 = { norecurse nounwind uwtable "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "min-legal-vector-width"="0" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-jump-tables"="false" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+attributes #1 = { nofree nounwind "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+attributes #2 = { "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+attributes #3 = { nounwind }
+attributes #4 = { nounwind uwtable "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "min-legal-vector-width"="0" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-jump-tables"="false" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+
+!llvm.module.flags = !{!0}
+!llvm.ident = !{!1}
+!hpvm_hint_cudnn = !{!2, !3}
+!hpvm_hint_gpu = !{}
+!hpvm_hint_cpu = !{!4}
+!hpvm_hint_cpu_gpu = !{}
+!hpvm_hint_promise = !{}
+
+!0 = !{i32 1, !"wchar_size", i32 4}
+!1 = !{!"clang version 9.0.0 (https://gitlab.engr.illinois.edu/llvm/hpvm.git 5c964d17b48694847d60e6755519cbfa0603770f)"}
+!2 = !{%struct.out._Z9relu_nodePvm (i8*, i64)* @_Z9relu_nodePvm_cloned}
+!3 = !{%struct.out._Z11matMul_nodePvmS_m (i8*, i64, i8*, i64)* @_Z11matMul_nodePvmS_m_cloned}
+!4 = !{%struct.out._Z4rootPvmS_m (i8*, i64, i8*, i64)* @_Z4rootPvmS_m_cloned}
+!5 = !{!6, !7, i64 0}
+!6 = !{!"_ZTS6RootIn", !7, i64 0, !10, i64 8, !7, i64 16, !10, i64 24, !11, i64 32}
+!7 = !{!"any pointer", !8, i64 0}
+!8 = !{!"omnipotent char", !9, i64 0}
+!9 = !{!"Simple C++ TBAA"}
+!10 = !{!"long", !8, i64 0}
+!11 = !{!"_ZTS5ret_t", !7, i64 0, !10, i64 8}
diff --git a/hpvm/test/hpvm_pass/DFG2LLVM_CUDNN/meanPoolWithSoftmax.hpvm.ll b/hpvm/test/hpvm_pass/DFG2LLVM_CUDNN/meanPoolWithSoftmax.hpvm.ll
new file mode 100644
index 0000000000000000000000000000000000000000..c42ce49d803ca82cd559f7ab3b3c8107fe0a9b0f
--- /dev/null
+++ b/hpvm/test/hpvm_pass/DFG2LLVM_CUDNN/meanPoolWithSoftmax.hpvm.ll
@@ -0,0 +1,190 @@
+; RUN: opt -load LLVMBuildDFG.so -load LLVMInPlaceDFGAnalysis.so -load LLVMDFG2LLVM_CUDNN.so -S -inplace -dfg2llvm-cudnn < %s | FileCheck %s
+; ModuleID = 'meanPoolWithSoftmax.ll'
+source_filename = "softmaxActivation.cpp"
+target datalayout = "e-m:e-i64:64-f80:128-n8:16:32:64-S128"
+target triple = "x86_64-unknown-linux-gnu"
+
+%struct.out._Z9conv_nodePvmS_m = type <{ i8*, i64 }>
+%struct.out._Z13bias_add_nodePvmS_m = type <{ i8*, i64 }>
+%struct.out._Z12softmax_nodePvm = type <{ i8*, i64 }>
+%struct.out._Z14pool_mean_nodePvm = type <{ i8*, i64 }>
+%struct.out._Z4rootPvmS_mS_m = type <{ i8*, i64 }>
+
+; CHECK-LABEL: i32 @main(
+; CHECK: call void @llvm_hpvm_initTensorRt(i32 0)
+; CHECK-NEXT: call void @llvm.hpvm.init()
+; CHECK: call void @hpvm_request_tensor(
+; CHECK: call void @llvm_hpvm_cleanupTensorRt()
+; CHECK-NEXT: call void @llvm.hpvm.cleanup()
+
+
+; CHECK-LABEL: @_Z9conv_nodePvmS_m_cloned_cudnn(
+; CHECK: call void @hpvm_request_tensor(
+; CHECK: call void @hpvm_request_tensor(
+; CHECK-NOT: call i8* @__hpvm__tensor_convolution(i8* %t1, i8* %t2, i32 2, i32 2, i32 1, i32 1)
+; CHECK: call i8* @tensorConvolution(i8* %t1, i8* %t2, i32 2, i32 2, i32 1, i32 1, i32 1, i32 0)
+; CHECK: ret
+
+; CHECK-LABEL: @_Z13bias_add_nodePvmS_m_cloned_cudnn(
+; CHECK: call void @hpvm_request_tensor(
+; CHECK: call void @hpvm_request_tensor(
+; CHECK-NOT: call i8* @__hpvm__tensor_add(i8* %t1, i8* %t2)
+; CHECK: call i8* @tensorAdd(i8* %t1, i8* %t2)
+; CHECK: ret
+
+; CHECK-LABEL: @_Z12softmax_nodePvm_cloned_cudnn(
+; CHECK: call void @hpvm_request_tensor(
+; CHECK-NOT: call i8* @__hpvm__tensor_softmax(i8* %t1)
+; CHECK: call i8* @tensorSoftmax(i8* %t1)
+; CHECK: ret
+
+; CHECK-LABEL: @_Z14pool_mean_nodePvm_cloned_cudnn(
+; CHECK: call void @hpvm_request_tensor(
+; CHECK-NOT: %call = tail call i8* @__hpvm__tensor_pool_mean(i8* %t1, i32 2, i32 2, i32 0, i32 0, i32 2, i32 2)
+; CHECK: call i8* @tensorPooling(i8* %t1, i32 1, i32 2, i32 2, i32 0, i32 0, i32 2, i32 2)
+; CHECK: ret
+
+
+; Function Attrs: norecurse nounwind uwtable
+define dso_local i32 @main() local_unnamed_addr #0 {
+entry:
+ call void @llvm.hpvm.init()
+ %call = tail call noalias i8* @malloc(i64 64) #3
+ %graphID = call i8* @llvm.hpvm.launch(i8* bitcast (%struct.out._Z4rootPvmS_mS_m (i8*, i64, i8*, i64, i8*, i64)* @_Z4rootPvmS_mS_m_cloned to i8*), i8* %call, i1 false)
+ call void @llvm.hpvm.wait(i8* %graphID)
+ %input = bitcast i8* %call to i8**
+ %0 = load i8*, i8** %input, align 1, !tbaa !7
+ tail call void @hpvm_request_tensor(i8* %0, i32 1) #3
+ call void @llvm.hpvm.cleanup()
+ ret i32 0
+}
+
+; Function Attrs: nofree nounwind
+declare dso_local noalias i8* @malloc(i64) local_unnamed_addr #1
+
+declare dso_local void @hpvm_request_tensor(i8*, i32) local_unnamed_addr #2
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.convolution(i8*, i8*, i32, i32, i32, i32) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z9conv_nodePvmS_m @_Z9conv_nodePvmS_m_cloned(i8* in %t1, i64 %bytes_t1, i8* in %t2, i64 %bytes_t2) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.convolution(i8* %t1, i8* %t2, i32 2, i32 2, i32 1, i32 1)
+ %returnStruct = insertvalue %struct.out._Z9conv_nodePvmS_m undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z9conv_nodePvmS_m %returnStruct, i64 0, 1
+ ret %struct.out._Z9conv_nodePvmS_m %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.add(i8*, i8*) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z13bias_add_nodePvmS_m @_Z13bias_add_nodePvmS_m_cloned(i8* in %t1, i64 %bytes_t1, i8* in %t2, i64 %bytes_t2) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.add(i8* %t1, i8* %t2)
+ %returnStruct = insertvalue %struct.out._Z13bias_add_nodePvmS_m undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z13bias_add_nodePvmS_m %returnStruct, i64 0, 1
+ ret %struct.out._Z13bias_add_nodePvmS_m %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.softmax(i8*) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z12softmax_nodePvm @_Z12softmax_nodePvm_cloned(i8* in %t1, i64 %bytes_t1) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.softmax(i8* %t1)
+ %returnStruct = insertvalue %struct.out._Z12softmax_nodePvm undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z12softmax_nodePvm %returnStruct, i64 0, 1
+ ret %struct.out._Z12softmax_nodePvm %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.pool.mean(i8*, i32, i32, i32, i32, i32, i32) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z14pool_mean_nodePvm @_Z14pool_mean_nodePvm_cloned(i8* in %t1, i64 %bytes_t1) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.pool.mean(i8* %t1, i32 2, i32 2, i32 0, i32 0, i32 2, i32 2)
+ %returnStruct = insertvalue %struct.out._Z14pool_mean_nodePvm undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z14pool_mean_nodePvm %returnStruct, i64 0, 1
+ ret %struct.out._Z14pool_mean_nodePvm %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.createNode(i8*) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.bind.input(i8*, i32, i32, i1) #3
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.createEdge(i8*, i8*, i1, i32, i32, i1) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.bind.output(i8*, i32, i32, i1) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z4rootPvmS_mS_m @_Z4rootPvmS_mS_m_cloned(i8* in %input, i64 %input_bytes, i8* in %conv2d_1_w, i64 %conv2d_1_w_bytes, i8* nocapture readnone %conv2d_1_b, i64 %conv2d_1_b_bytes) #4 {
+entry:
+ %_Z9conv_nodePvmS_m_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z9conv_nodePvmS_m (i8*, i64, i8*, i64)* @_Z9conv_nodePvmS_m_cloned to i8*))
+ call void @llvm.hpvm.bind.input(i8* %_Z9conv_nodePvmS_m_cloned.node, i32 0, i32 0, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z9conv_nodePvmS_m_cloned.node, i32 1, i32 1, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z9conv_nodePvmS_m_cloned.node, i32 2, i32 2, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z9conv_nodePvmS_m_cloned.node, i32 3, i32 3, i1 false)
+ %_Z13bias_add_nodePvmS_m_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z13bias_add_nodePvmS_m (i8*, i64, i8*, i64)* @_Z13bias_add_nodePvmS_m_cloned to i8*))
+ %output = call i8* @llvm.hpvm.createEdge(i8* %_Z9conv_nodePvmS_m_cloned.node, i8* %_Z13bias_add_nodePvmS_m_cloned.node, i1 true, i32 0, i32 0, i1 false)
+ %output1 = call i8* @llvm.hpvm.createEdge(i8* %_Z9conv_nodePvmS_m_cloned.node, i8* %_Z13bias_add_nodePvmS_m_cloned.node, i1 true, i32 1, i32 1, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z13bias_add_nodePvmS_m_cloned.node, i32 4, i32 2, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z13bias_add_nodePvmS_m_cloned.node, i32 5, i32 3, i1 false)
+ %_Z12softmax_nodePvm_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z12softmax_nodePvm (i8*, i64)* @_Z12softmax_nodePvm_cloned to i8*))
+ %output2 = call i8* @llvm.hpvm.createEdge(i8* %_Z13bias_add_nodePvmS_m_cloned.node, i8* %_Z12softmax_nodePvm_cloned.node, i1 true, i32 0, i32 0, i1 false)
+ %output3 = call i8* @llvm.hpvm.createEdge(i8* %_Z13bias_add_nodePvmS_m_cloned.node, i8* %_Z12softmax_nodePvm_cloned.node, i1 true, i32 1, i32 1, i1 false)
+ %_Z14pool_mean_nodePvm_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z14pool_mean_nodePvm (i8*, i64)* @_Z14pool_mean_nodePvm_cloned to i8*))
+ %output4 = call i8* @llvm.hpvm.createEdge(i8* %_Z12softmax_nodePvm_cloned.node, i8* %_Z14pool_mean_nodePvm_cloned.node, i1 true, i32 0, i32 0, i1 false)
+ %output5 = call i8* @llvm.hpvm.createEdge(i8* %_Z12softmax_nodePvm_cloned.node, i8* %_Z14pool_mean_nodePvm_cloned.node, i1 true, i32 1, i32 1, i1 false)
+ call void @llvm.hpvm.bind.output(i8* %_Z14pool_mean_nodePvm_cloned.node, i32 0, i32 0, i1 false)
+ call void @llvm.hpvm.bind.output(i8* %_Z14pool_mean_nodePvm_cloned.node, i32 1, i32 1, i1 false)
+ ret %struct.out._Z4rootPvmS_mS_m undef
+}
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.init() #3
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.launch(i8*, i8*, i1) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.wait(i8*) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.cleanup() #3
+
+attributes #0 = { norecurse nounwind uwtable "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "min-legal-vector-width"="0" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-jump-tables"="false" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+attributes #1 = { nofree nounwind "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+attributes #2 = { "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+attributes #3 = { nounwind }
+attributes #4 = { nounwind uwtable "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "min-legal-vector-width"="0" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-jump-tables"="false" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+
+!llvm.module.flags = !{!0}
+!llvm.ident = !{!1}
+!hpvm_hint_cudnn = !{!2, !3, !4, !5}
+!hpvm_hint_gpu = !{}
+!hpvm_hint_cpu = !{!6}
+!hpvm_hint_cpu_gpu = !{}
+!hpvm_hint_promise = !{}
+
+!0 = !{i32 1, !"wchar_size", i32 4}
+!1 = !{!"clang version 9.0.0 (https://gitlab.engr.illinois.edu/llvm/hpvm.git 5c964d17b48694847d60e6755519cbfa0603770f)"}
+!2 = !{%struct.out._Z9conv_nodePvmS_m (i8*, i64, i8*, i64)* @_Z9conv_nodePvmS_m_cloned}
+!3 = !{%struct.out._Z13bias_add_nodePvmS_m (i8*, i64, i8*, i64)* @_Z13bias_add_nodePvmS_m_cloned}
+!4 = !{%struct.out._Z12softmax_nodePvm (i8*, i64)* @_Z12softmax_nodePvm_cloned}
+!5 = !{%struct.out._Z14pool_mean_nodePvm (i8*, i64)* @_Z14pool_mean_nodePvm_cloned}
+!6 = !{%struct.out._Z4rootPvmS_mS_m (i8*, i64, i8*, i64, i8*, i64)* @_Z4rootPvmS_mS_m_cloned}
+!7 = !{!8, !9, i64 0}
+!8 = !{!"_ZTS6RootIn", !9, i64 0, !12, i64 8, !9, i64 16, !12, i64 24, !9, i64 32, !12, i64 40, !13, i64 48}
+!9 = !{!"any pointer", !10, i64 0}
+!10 = !{!"omnipotent char", !11, i64 0}
+!11 = !{!"Simple C++ TBAA"}
+!12 = !{!"long", !10, i64 0}
+!13 = !{!"_ZTS5ret_t", !9, i64 0, !12, i64 8}
diff --git a/hpvm/test/hpvm_pass/DFG2LLVM_CUDNN/singleConvLayer.hpvm.ll b/hpvm/test/hpvm_pass/DFG2LLVM_CUDNN/singleConvLayer.hpvm.ll
new file mode 100644
index 0000000000000000000000000000000000000000..91586784b04f12a5919f4dc48a6b786dc89481a0
--- /dev/null
+++ b/hpvm/test/hpvm_pass/DFG2LLVM_CUDNN/singleConvLayer.hpvm.ll
@@ -0,0 +1,192 @@
+; RUN: opt -load LLVMBuildDFG.so -load LLVMInPlaceDFGAnalysis.so -load LLVMDFG2LLVM_CUDNN.so -S -inplace -dfg2llvm-cudnn < %s | FileCheck %s
+; ModuleID = 'singleConvLayer.ll'
+source_filename = "singleConv.cpp"
+target datalayout = "e-m:e-i64:64-f80:128-n8:16:32:64-S128"
+target triple = "x86_64-unknown-linux-gnu"
+
+%struct.out._Z9conv_nodePvmS_m = type <{ i8*, i64 }>
+%struct.out._Z13bias_add_nodePvmS_m = type <{ i8*, i64 }>
+%struct.out._Z9tanh_nodePvm = type <{ i8*, i64 }>
+%struct.out._Z13pool_max_nodePvm = type <{ i8*, i64 }>
+%struct.out._Z4rootPvmS_mS_m = type <{ i8*, i64 }>
+
+
+; CHECK-LABEL: i32 @main(
+; CHECK: call void @llvm_hpvm_initTensorRt(i32 0)
+; CHECK-NEXT: call void @llvm.hpvm.init()
+; CHECK: call void @hpvm_request_tensor(
+; CHECK: call void @llvm_hpvm_cleanupTensorRt()
+; CHECK-NEXT: call void @llvm.hpvm.cleanup()
+
+
+; CHECK-LABEL: @_Z9conv_nodePvmS_m_cloned_cudnn(
+; CHECK: call void @hpvm_request_tensor(
+; CHECK: call void @hpvm_request_tensor(
+; CHECK-NOT: call i8* @__hpvm__tensor_convolution(i8* %t1, i8* %t2, i32 2, i32 2, i32 1, i32 1)
+; CHECK: call i8* @tensorConvolution(i8* %t1, i8* %t2, i32 2, i32 2, i32 1, i32 1, i32 1, i32 0)
+; CHECK: ret
+
+; CHECK-LABEL: @_Z13bias_add_nodePvmS_m_cloned_cudnn(
+; CHECK: call void @hpvm_request_tensor(
+; CHECK: call void @hpvm_request_tensor(
+; CHECK-NOT: call i8* @__hpvm__tensor_add(i8* %t1, i8* %t2)
+; CHECK: call i8* @tensorAdd(i8* %t1, i8* %t2)
+; CHECK: ret
+
+; CHECK-LABEL: @_Z9tanh_nodePvm_cloned_cudnn(
+; CHECK: call void @hpvm_request_tensor(
+; CHECK-NOT: call i8* @__hpvm__tensor_tanh(i8* %t1)
+; CHECK: call i8* @tensorTanh(i8* %t1)
+; CHECK: ret
+
+; CHECK-LABEL: @_Z13pool_max_nodePvm_cloned_cudnn(
+; CHECK: call void @hpvm_request_tensor(
+; CHECK-NOT: call i8* @__hpvm__tensor_pool_max(i8* %t1, i32 2, i32 2, i32 0, i32 0, i32 2, i32 2)
+; CHECK: call i8* @tensorPooling(i8* %t1, i32 0, i32 2, i32 2, i32 0, i32 0, i32 2, i32 2)
+; CHECK: ret
+
+
+
+; Function Attrs: norecurse nounwind uwtable
+define dso_local i32 @main() local_unnamed_addr #0 {
+entry:
+ call void @llvm.hpvm.init()
+ %call = tail call noalias i8* @malloc(i64 64) #3
+ %graphID = call i8* @llvm.hpvm.launch(i8* bitcast (%struct.out._Z4rootPvmS_mS_m (i8*, i64, i8*, i64, i8*, i64)* @_Z4rootPvmS_mS_m_cloned to i8*), i8* %call, i1 false)
+ call void @llvm.hpvm.wait(i8* %graphID)
+ %input = bitcast i8* %call to i8**
+ %0 = load i8*, i8** %input, align 1, !tbaa !7
+ tail call void @hpvm_request_tensor(i8* %0, i32 1) #3
+ call void @llvm.hpvm.cleanup()
+ ret i32 0
+}
+
+; Function Attrs: nofree nounwind
+declare dso_local noalias i8* @malloc(i64) local_unnamed_addr #1
+
+declare dso_local void @hpvm_request_tensor(i8*, i32) local_unnamed_addr #2
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.convolution(i8*, i8*, i32, i32, i32, i32) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z9conv_nodePvmS_m @_Z9conv_nodePvmS_m_cloned(i8* in %t1, i64 %bytes_t1, i8* in %t2, i64 %bytes_t2) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.convolution(i8* %t1, i8* %t2, i32 2, i32 2, i32 1, i32 1)
+ %returnStruct = insertvalue %struct.out._Z9conv_nodePvmS_m undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z9conv_nodePvmS_m %returnStruct, i64 0, 1
+ ret %struct.out._Z9conv_nodePvmS_m %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.add(i8*, i8*) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z13bias_add_nodePvmS_m @_Z13bias_add_nodePvmS_m_cloned(i8* in %t1, i64 %bytes_t1, i8* in %t2, i64 %bytes_t2) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.add(i8* %t1, i8* %t2)
+ %returnStruct = insertvalue %struct.out._Z13bias_add_nodePvmS_m undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z13bias_add_nodePvmS_m %returnStruct, i64 0, 1
+ ret %struct.out._Z13bias_add_nodePvmS_m %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.tanh(i8*) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z9tanh_nodePvm @_Z9tanh_nodePvm_cloned(i8* in %t1, i64 %bytes_t1) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.tanh(i8* %t1)
+ %returnStruct = insertvalue %struct.out._Z9tanh_nodePvm undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z9tanh_nodePvm %returnStruct, i64 0, 1
+ ret %struct.out._Z9tanh_nodePvm %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.pool.max(i8*, i32, i32, i32, i32, i32, i32) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z13pool_max_nodePvm @_Z13pool_max_nodePvm_cloned(i8* in %t1, i64 %bytes_t1) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.pool.max(i8* %t1, i32 2, i32 2, i32 0, i32 0, i32 2, i32 2)
+ %returnStruct = insertvalue %struct.out._Z13pool_max_nodePvm undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z13pool_max_nodePvm %returnStruct, i64 0, 1
+ ret %struct.out._Z13pool_max_nodePvm %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.createNode(i8*) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.bind.input(i8*, i32, i32, i1) #3
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.createEdge(i8*, i8*, i1, i32, i32, i1) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.bind.output(i8*, i32, i32, i1) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z4rootPvmS_mS_m @_Z4rootPvmS_mS_m_cloned(i8* in %input, i64 %input_bytes, i8* in %conv2d_1_w, i64 %conv2d_1_w_bytes, i8* nocapture readnone %conv2d_1_b, i64 %conv2d_1_b_bytes) #4 {
+entry:
+ %_Z9conv_nodePvmS_m_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z9conv_nodePvmS_m (i8*, i64, i8*, i64)* @_Z9conv_nodePvmS_m_cloned to i8*))
+ call void @llvm.hpvm.bind.input(i8* %_Z9conv_nodePvmS_m_cloned.node, i32 0, i32 0, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z9conv_nodePvmS_m_cloned.node, i32 1, i32 1, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z9conv_nodePvmS_m_cloned.node, i32 2, i32 2, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z9conv_nodePvmS_m_cloned.node, i32 3, i32 3, i1 false)
+ %_Z13bias_add_nodePvmS_m_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z13bias_add_nodePvmS_m (i8*, i64, i8*, i64)* @_Z13bias_add_nodePvmS_m_cloned to i8*))
+ %output = call i8* @llvm.hpvm.createEdge(i8* %_Z9conv_nodePvmS_m_cloned.node, i8* %_Z13bias_add_nodePvmS_m_cloned.node, i1 true, i32 0, i32 0, i1 false)
+ %output1 = call i8* @llvm.hpvm.createEdge(i8* %_Z9conv_nodePvmS_m_cloned.node, i8* %_Z13bias_add_nodePvmS_m_cloned.node, i1 true, i32 1, i32 1, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z13bias_add_nodePvmS_m_cloned.node, i32 4, i32 2, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z13bias_add_nodePvmS_m_cloned.node, i32 5, i32 3, i1 false)
+ %_Z9tanh_nodePvm_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z9tanh_nodePvm (i8*, i64)* @_Z9tanh_nodePvm_cloned to i8*))
+ %output2 = call i8* @llvm.hpvm.createEdge(i8* %_Z13bias_add_nodePvmS_m_cloned.node, i8* %_Z9tanh_nodePvm_cloned.node, i1 true, i32 0, i32 0, i1 false)
+ %output3 = call i8* @llvm.hpvm.createEdge(i8* %_Z13bias_add_nodePvmS_m_cloned.node, i8* %_Z9tanh_nodePvm_cloned.node, i1 true, i32 1, i32 1, i1 false)
+ %_Z13pool_max_nodePvm_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z13pool_max_nodePvm (i8*, i64)* @_Z13pool_max_nodePvm_cloned to i8*))
+ %output4 = call i8* @llvm.hpvm.createEdge(i8* %_Z9tanh_nodePvm_cloned.node, i8* %_Z13pool_max_nodePvm_cloned.node, i1 true, i32 0, i32 0, i1 false)
+ %output5 = call i8* @llvm.hpvm.createEdge(i8* %_Z9tanh_nodePvm_cloned.node, i8* %_Z13pool_max_nodePvm_cloned.node, i1 true, i32 1, i32 1, i1 false)
+ call void @llvm.hpvm.bind.output(i8* %_Z13pool_max_nodePvm_cloned.node, i32 0, i32 0, i1 false)
+ call void @llvm.hpvm.bind.output(i8* %_Z13pool_max_nodePvm_cloned.node, i32 1, i32 1, i1 false)
+ ret %struct.out._Z4rootPvmS_mS_m undef
+}
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.init() #3
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.launch(i8*, i8*, i1) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.wait(i8*) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.cleanup() #3
+
+attributes #0 = { norecurse nounwind uwtable "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "min-legal-vector-width"="0" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-jump-tables"="false" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+attributes #1 = { nofree nounwind "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+attributes #2 = { "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+attributes #3 = { nounwind }
+attributes #4 = { nounwind uwtable "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "min-legal-vector-width"="0" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-jump-tables"="false" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+
+!llvm.module.flags = !{!0}
+!llvm.ident = !{!1}
+!hpvm_hint_cudnn = !{!2, !3, !4, !5}
+!hpvm_hint_gpu = !{}
+!hpvm_hint_cpu = !{!6}
+!hpvm_hint_cpu_gpu = !{}
+!hpvm_hint_promise = !{}
+
+!0 = !{i32 1, !"wchar_size", i32 4}
+!1 = !{!"clang version 9.0.0 (https://gitlab.engr.illinois.edu/llvm/hpvm.git 5c964d17b48694847d60e6755519cbfa0603770f)"}
+!2 = !{%struct.out._Z9conv_nodePvmS_m (i8*, i64, i8*, i64)* @_Z9conv_nodePvmS_m_cloned}
+!3 = !{%struct.out._Z13bias_add_nodePvmS_m (i8*, i64, i8*, i64)* @_Z13bias_add_nodePvmS_m_cloned}
+!4 = !{%struct.out._Z9tanh_nodePvm (i8*, i64)* @_Z9tanh_nodePvm_cloned}
+!5 = !{%struct.out._Z13pool_max_nodePvm (i8*, i64)* @_Z13pool_max_nodePvm_cloned}
+!6 = !{%struct.out._Z4rootPvmS_mS_m (i8*, i64, i8*, i64, i8*, i64)* @_Z4rootPvmS_mS_m_cloned}
+!7 = !{!8, !9, i64 0}
+!8 = !{!"_ZTS6RootIn", !9, i64 0, !12, i64 8, !9, i64 16, !12, i64 24, !9, i64 32, !12, i64 40, !13, i64 48}
+!9 = !{!"any pointer", !10, i64 0}
+!10 = !{!"omnipotent char", !11, i64 0}
+!11 = !{!"Simple C++ TBAA"}
+!12 = !{!"long", !10, i64 0}
+!13 = !{!"_ZTS5ret_t", !9, i64 0, !12, i64 8}
diff --git a/hpvm/test/regressionTests/DFG2LLVM_OPENCL/ThreeLevel.atomic.ll b/hpvm/test/hpvm_pass/DFG2LLVM_OPENCL/ThreeLevel.atomic.ll
similarity index 100%
rename from hpvm/test/regressionTests/DFG2LLVM_OPENCL/ThreeLevel.atomic.ll
rename to hpvm/test/hpvm_pass/DFG2LLVM_OPENCL/ThreeLevel.atomic.ll
diff --git a/hpvm/test/regressionTests/DFG2LLVM_OPENCL/ThreeLevel.cond.const.ll b/hpvm/test/hpvm_pass/DFG2LLVM_OPENCL/ThreeLevel.cond.const.ll
similarity index 100%
rename from hpvm/test/regressionTests/DFG2LLVM_OPENCL/ThreeLevel.cond.const.ll
rename to hpvm/test/hpvm_pass/DFG2LLVM_OPENCL/ThreeLevel.cond.const.ll
diff --git a/hpvm/test/regressionTests/DFG2LLVM_OPENCL/ThreeLevel.cond.ll b/hpvm/test/hpvm_pass/DFG2LLVM_OPENCL/ThreeLevel.cond.ll
similarity index 100%
rename from hpvm/test/regressionTests/DFG2LLVM_OPENCL/ThreeLevel.cond.ll
rename to hpvm/test/hpvm_pass/DFG2LLVM_OPENCL/ThreeLevel.cond.ll
diff --git a/hpvm/test/regressionTests/DFG2LLVM_OPENCL/ThreeLevel.constmem.ll b/hpvm/test/hpvm_pass/DFG2LLVM_OPENCL/ThreeLevel.constmem.ll
similarity index 100%
rename from hpvm/test/regressionTests/DFG2LLVM_OPENCL/ThreeLevel.constmem.ll
rename to hpvm/test/hpvm_pass/DFG2LLVM_OPENCL/ThreeLevel.constmem.ll
diff --git a/hpvm/test/regressionTests/DFG2LLVM_OPENCL/ThreeLevel.ll b/hpvm/test/hpvm_pass/DFG2LLVM_OPENCL/ThreeLevel.ll
similarity index 100%
rename from hpvm/test/regressionTests/DFG2LLVM_OPENCL/ThreeLevel.ll
rename to hpvm/test/hpvm_pass/DFG2LLVM_OPENCL/ThreeLevel.ll
diff --git a/hpvm/test/hpvm_pass/DFG2LLVM_WrapperAPI/wrapAddTanh.ll b/hpvm/test/hpvm_pass/DFG2LLVM_WrapperAPI/wrapAddTanh.ll
new file mode 100644
index 0000000000000000000000000000000000000000..33c431a78d1fbae8404ff7f4b0c449165a950053
--- /dev/null
+++ b/hpvm/test/hpvm_pass/DFG2LLVM_WrapperAPI/wrapAddTanh.ll
@@ -0,0 +1,140 @@
+; RUN: opt -load LLVMBuildDFG.so -load LLVMInPlaceDFGAnalysis.so -load LLVMDFG2LLVM_WrapperAPI.so -S -inplace -dfg2llvm-wrapperapi --configuration-inputs-filename=conf_file.txt < %s | FileCheck %s
+; ModuleID = 'addTanh.hpvm.ll'
+source_filename = "addTanh.cpp"
+target datalayout = "e-m:e-i64:64-f80:128-n8:16:32:64-S128"
+target triple = "x86_64-unknown-linux-gnu"
+
+%struct.out._Z9tanh_nodePvm = type <{ i8*, i64 }>
+%struct.out._Z11matadd_nodePvmS_m = type <{ i8*, i64 }>
+%struct.out._Z4rootPvmS_m = type <{ i8*, i64 }>
+
+; CHECK-LABEL: i32 @main(
+; CHECK: call void @llvm_hpvm_initApproxhpvmRt(i32 0)
+; CHECK-NEXT: call void @llvm_hpvm_initializeRuntimeController(
+; CHECK-NEXT: call void @llvm.hpvm.init()
+; CHECK: call void @hpvm_request_tensor(
+; CHECK: call void @llvm_hpvm_cleanupApproxhpvmRt()
+; CHECK: call void @llvm_hpvm_clearRuntimeController()
+; CHECK-NEXT: call void @llvm.hpvm.cleanup()
+
+; CHECK-LABEL: @_Z11matadd_nodePvmS_m_cloned_wrapper_api(
+; CHECK: call void @hpvm_request_tensor(
+; CHECK: call void @hpvm_request_tensor(
+; CHECK: call i8* @wrapper_tensorAdd(
+; CHECK: ret
+
+; CHECK-LABEL: @_Z9tanh_nodePvm_cloned_wrapper_api(
+; CHECK: call void @hpvm_request_tensor(
+; CHECK: call i8* @wrapper_tensorTanh(
+; CHECK: ret
+
+
+; Function Attrs: norecurse uwtable
+define dso_local i32 @main() local_unnamed_addr #0 {
+entry:
+ call void @llvm.hpvm.init()
+ %call = tail call noalias i8* @malloc(i64 48) #3
+ %graphID = call i8* @llvm.hpvm.launch(i8* bitcast (%struct.out._Z4rootPvmS_m (i8*, i64, i8*, i64)* @_Z4rootPvmS_m_cloned to i8*), i8* %call, i1 false)
+ call void @llvm.hpvm.wait(i8* %graphID)
+ %input = bitcast i8* %call to i8**
+ %0 = load i8*, i8** %input, align 1, !tbaa !5
+ tail call void @hpvm_request_tensor(i8* %0, i32 1)
+ call void @llvm.hpvm.cleanup()
+ ret i32 0
+}
+
+; Function Attrs: nofree nounwind
+declare dso_local noalias i8* @malloc(i64) local_unnamed_addr #1
+
+declare dso_local void @hpvm_request_tensor(i8*, i32) local_unnamed_addr #2
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.tanh(i8*) #3
+
+; Function Attrs: uwtable
+define dso_local %struct.out._Z9tanh_nodePvm @_Z9tanh_nodePvm_cloned(i8* in %t1, i64 %bytes_t1) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.tanh(i8* %t1)
+ %returnStruct = insertvalue %struct.out._Z9tanh_nodePvm undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z9tanh_nodePvm %returnStruct, i64 0, 1
+ ret %struct.out._Z9tanh_nodePvm %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.add(i8*, i8*) #3
+
+; Function Attrs: uwtable
+define dso_local %struct.out._Z11matadd_nodePvmS_m @_Z11matadd_nodePvmS_m_cloned(i8* in %t1, i64 %bytes_t1, i8* in %t2, i64 %bytes_t2) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.add(i8* %t1, i8* %t2)
+ %returnStruct = insertvalue %struct.out._Z11matadd_nodePvmS_m undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z11matadd_nodePvmS_m %returnStruct, i64 0, 1
+ ret %struct.out._Z11matadd_nodePvmS_m %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.createNode(i8*) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.bind.input(i8*, i32, i32, i1) #3
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.createEdge(i8*, i8*, i1, i32, i32, i1) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.bind.output(i8*, i32, i32, i1) #3
+
+; Function Attrs: uwtable
+define dso_local %struct.out._Z4rootPvmS_m @_Z4rootPvmS_m_cloned(i8* in %input, i64 %input_bytes, i8* in %m1, i64 %m1_bytes) #4 {
+entry:
+ %_Z11matadd_nodePvmS_m_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z11matadd_nodePvmS_m (i8*, i64, i8*, i64)* @_Z11matadd_nodePvmS_m_cloned to i8*))
+ call void @llvm.hpvm.bind.input(i8* %_Z11matadd_nodePvmS_m_cloned.node, i32 0, i32 0, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z11matadd_nodePvmS_m_cloned.node, i32 1, i32 1, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z11matadd_nodePvmS_m_cloned.node, i32 2, i32 2, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z11matadd_nodePvmS_m_cloned.node, i32 3, i32 3, i1 false)
+ %_Z9tanh_nodePvm_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z9tanh_nodePvm (i8*, i64)* @_Z9tanh_nodePvm_cloned to i8*))
+ %output = call i8* @llvm.hpvm.createEdge(i8* %_Z11matadd_nodePvmS_m_cloned.node, i8* %_Z9tanh_nodePvm_cloned.node, i1 true, i32 0, i32 0, i1 false)
+ %output1 = call i8* @llvm.hpvm.createEdge(i8* %_Z11matadd_nodePvmS_m_cloned.node, i8* %_Z9tanh_nodePvm_cloned.node, i1 true, i32 1, i32 1, i1 false)
+ call void @llvm.hpvm.bind.output(i8* %_Z9tanh_nodePvm_cloned.node, i32 0, i32 0, i1 false)
+ call void @llvm.hpvm.bind.output(i8* %_Z9tanh_nodePvm_cloned.node, i32 1, i32 1, i1 false)
+ ret %struct.out._Z4rootPvmS_m undef
+}
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.init() #3
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.launch(i8*, i8*, i1) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.wait(i8*) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.cleanup() #3
+
+attributes #0 = { norecurse uwtable "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "min-legal-vector-width"="0" "no-frame-pointer-elim"="false" "no-infs-fp-math"="false" "no-jump-tables"="false" "no-nans-fp-math"="false" "no-signed-zeros-fp-math"="false" "no-trapping-math"="false" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="false" "use-soft-float"="false" }
+attributes #1 = { nofree nounwind "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "no-frame-pointer-elim"="false" "no-infs-fp-math"="false" "no-nans-fp-math"="false" "no-signed-zeros-fp-math"="false" "no-trapping-math"="false" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="false" "use-soft-float"="false" }
+attributes #2 = { "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "no-frame-pointer-elim"="false" "no-infs-fp-math"="false" "no-nans-fp-math"="false" "no-signed-zeros-fp-math"="false" "no-trapping-math"="false" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="false" "use-soft-float"="false" }
+attributes #3 = { nounwind }
+attributes #4 = { uwtable "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "min-legal-vector-width"="0" "no-frame-pointer-elim"="false" "no-infs-fp-math"="false" "no-jump-tables"="false" "no-nans-fp-math"="false" "no-signed-zeros-fp-math"="false" "no-trapping-math"="false" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="false" "use-soft-float"="false" }
+
+!llvm.module.flags = !{!0}
+!llvm.ident = !{!1}
+!hpvm_hint_promise = !{!2, !3, !4}
+!hpvm_hint_gpu = !{}
+!hpvm_hint_cpu = !{}
+!hpvm_hint_cpu_gpu = !{}
+!hpvm_hint_cudnn = !{}
+
+!0 = !{i32 1, !"wchar_size", i32 4}
+!1 = !{!"clang version 9.0.0 (https://gitlab.engr.illinois.edu/llvm/hpvm.git 5c2a920901bb51fcc2e51f920c0f726cbd6d3f0d)"}
+!2 = !{%struct.out._Z9tanh_nodePvm (i8*, i64)* @_Z9tanh_nodePvm_cloned}
+!3 = !{%struct.out._Z11matadd_nodePvmS_m (i8*, i64, i8*, i64)* @_Z11matadd_nodePvmS_m_cloned}
+!4 = !{%struct.out._Z4rootPvmS_m (i8*, i64, i8*, i64)* @_Z4rootPvmS_m_cloned}
+!5 = !{!6, !7, i64 0}
+!6 = !{!"_ZTS6RootIn", !7, i64 0, !10, i64 8, !7, i64 16, !10, i64 24, !11, i64 32}
+!7 = !{!"any pointer", !8, i64 0}
+!8 = !{!"omnipotent char", !9, i64 0}
+!9 = !{!"Simple C++ TBAA"}
+!10 = !{!"long", !8, i64 0}
+!11 = !{!"_ZTS5ret_t", !7, i64 0, !10, i64 8}
diff --git a/hpvm/test/hpvm_pass/DFG2LLVM_WrapperAPI/wrapBatchNormRelu.ll b/hpvm/test/hpvm_pass/DFG2LLVM_WrapperAPI/wrapBatchNormRelu.ll
new file mode 100644
index 0000000000000000000000000000000000000000..f93d325a7ff0107f01510f639a3f09eb840f917e
--- /dev/null
+++ b/hpvm/test/hpvm_pass/DFG2LLVM_WrapperAPI/wrapBatchNormRelu.ll
@@ -0,0 +1,151 @@
+; RUN: opt -load LLVMBuildDFG.so -load LLVMInPlaceDFGAnalysis.so -load LLVMDFG2LLVM_WrapperAPI.so -S -inplace -dfg2llvm-wrapperapi --configuration-inputs-filename=conf_file.txt < %s | FileCheck %s
+; ModuleID = 'batchNorm.hpvm.ll'
+source_filename = "batchNorm.cpp"
+target datalayout = "e-m:e-i64:64-f80:128-n8:16:32:64-S128"
+target triple = "x86_64-unknown-linux-gnu"
+
+%struct.out._Z9relu_nodePvm = type <{ i8*, i64 }>
+%struct.out._Z19batchNormLayer_nodePvmS_mS_mS_mS_m = type <{ i8*, i64 }>
+%struct.out._Z4rootPvmS_mS_mS_mS_m = type <{ i8*, i64 }>
+
+
+; CHECK-LABEL: i32 @main(
+; CHECK: call void @llvm_hpvm_initApproxhpvmRt(i32 0)
+; CHECK-NEXT: call void @llvm_hpvm_initializeRuntimeController(
+; CHECK-NEXT: call void @llvm.hpvm.init()
+; CHECK: call void @hpvm_request_tensor(
+; CHECK: call void @llvm_hpvm_cleanupApproxhpvmRt()
+; CHECK: call void @llvm_hpvm_clearRuntimeController()
+; CHECK-NEXT: call void @llvm.hpvm.cleanup()
+
+; CHECK-LABEL: @_Z19batchNormLayer_nodePvmS_mS_mS_mS_m_cloned_wrapper_api(
+; CHECK: call void @hpvm_request_tensor(
+; CHECK: call void @hpvm_request_tensor(
+; CHECK: call void @hpvm_request_tensor(
+; CHECK: call void @hpvm_request_tensor(
+; CHECK: call void @hpvm_request_tensor(
+; CHECK: call i8* @wrapper_tensorBatchNorm(
+; CHECK: ret
+
+; CHECK-LABEL: @_Z9relu_nodePvm_cloned_wrapper_api(
+; CHECK: call void @hpvm_request_tensor(
+; CHECK: call i8* @wrapper_tensorRelu(
+; CHECK: ret
+
+
+
+; Function Attrs: norecurse nounwind uwtable
+define dso_local i32 @main() local_unnamed_addr #0 {
+entry:
+ call void @llvm.hpvm.init()
+ %call = tail call noalias i8* @malloc(i64 96) #3
+ %graphID = call i8* @llvm.hpvm.launch(i8* bitcast (%struct.out._Z4rootPvmS_mS_mS_mS_m (i8*, i64, i8*, i64, i8*, i64, i8*, i64, i8*, i64)* @_Z4rootPvmS_mS_mS_mS_m_cloned to i8*), i8* %call, i1 false)
+ call void @llvm.hpvm.wait(i8* %graphID)
+ %input = bitcast i8* %call to i8**
+ %0 = load i8*, i8** %input, align 1, !tbaa !5
+ tail call void @hpvm_request_tensor(i8* %0, i32 1) #3
+ call void @llvm.hpvm.cleanup()
+ ret i32 0
+}
+
+; Function Attrs: nofree nounwind
+declare dso_local noalias i8* @malloc(i64) local_unnamed_addr #1
+
+declare dso_local void @hpvm_request_tensor(i8*, i32) local_unnamed_addr #2
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.relu(i8*) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z9relu_nodePvm @_Z9relu_nodePvm_cloned(i8* in %t1, i64 %bytes_t1) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.relu(i8* %t1)
+ %returnStruct = insertvalue %struct.out._Z9relu_nodePvm undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z9relu_nodePvm %returnStruct, i64 0, 1
+ ret %struct.out._Z9relu_nodePvm %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.batchnorm(i8*, i8*, i8*, i8*, i8*, double) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z19batchNormLayer_nodePvmS_mS_mS_mS_m @_Z19batchNormLayer_nodePvmS_mS_mS_mS_m_cloned(i8* in %t1, i64 %bytes_t1, i8* in %t2, i64 %bytes_t2, i8* in %t3, i64 %bytes_t3, i8* in %t4, i64 %bytes_t4, i8* in %t5, i64 %bytes_t5) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.batchnorm(i8* %t1, i8* %t2, i8* %t3, i8* %t4, i8* %t5, double 1.000000e-03)
+ %returnStruct = insertvalue %struct.out._Z19batchNormLayer_nodePvmS_mS_mS_mS_m undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z19batchNormLayer_nodePvmS_mS_mS_mS_m %returnStruct, i64 0, 1
+ ret %struct.out._Z19batchNormLayer_nodePvmS_mS_mS_mS_m %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.createNode(i8*) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.bind.input(i8*, i32, i32, i1) #3
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.createEdge(i8*, i8*, i1, i32, i32, i1) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.bind.output(i8*, i32, i32, i1) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z4rootPvmS_mS_mS_mS_m @_Z4rootPvmS_mS_mS_mS_m_cloned(i8* in %input, i64 %input_bytes, i8* in %batch_normalization_1_gamma, i64 %batch_normalization_1_gamma_bytes, i8* in %batch_normalization_1_beta, i64 %batch_normalization_1_beta_bytes, i8* in %batch_normalization_1_mean, i64 %batch_normalization_1_mean_bytes, i8* in %batch_normalization_1_variance, i64 %batch_normalization_1_variance_bytes) #4 {
+entry:
+ %_Z19batchNormLayer_nodePvmS_mS_mS_mS_m_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z19batchNormLayer_nodePvmS_mS_mS_mS_m (i8*, i64, i8*, i64, i8*, i64, i8*, i64, i8*, i64)* @_Z19batchNormLayer_nodePvmS_mS_mS_mS_m_cloned to i8*))
+ call void @llvm.hpvm.bind.input(i8* %_Z19batchNormLayer_nodePvmS_mS_mS_mS_m_cloned.node, i32 0, i32 0, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z19batchNormLayer_nodePvmS_mS_mS_mS_m_cloned.node, i32 1, i32 1, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z19batchNormLayer_nodePvmS_mS_mS_mS_m_cloned.node, i32 2, i32 2, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z19batchNormLayer_nodePvmS_mS_mS_mS_m_cloned.node, i32 3, i32 3, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z19batchNormLayer_nodePvmS_mS_mS_mS_m_cloned.node, i32 4, i32 4, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z19batchNormLayer_nodePvmS_mS_mS_mS_m_cloned.node, i32 5, i32 5, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z19batchNormLayer_nodePvmS_mS_mS_mS_m_cloned.node, i32 6, i32 6, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z19batchNormLayer_nodePvmS_mS_mS_mS_m_cloned.node, i32 7, i32 7, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z19batchNormLayer_nodePvmS_mS_mS_mS_m_cloned.node, i32 8, i32 8, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z19batchNormLayer_nodePvmS_mS_mS_mS_m_cloned.node, i32 9, i32 9, i1 false)
+ %_Z9relu_nodePvm_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z9relu_nodePvm (i8*, i64)* @_Z9relu_nodePvm_cloned to i8*))
+ %output = call i8* @llvm.hpvm.createEdge(i8* %_Z19batchNormLayer_nodePvmS_mS_mS_mS_m_cloned.node, i8* %_Z9relu_nodePvm_cloned.node, i1 true, i32 0, i32 0, i1 false)
+ %output1 = call i8* @llvm.hpvm.createEdge(i8* %_Z19batchNormLayer_nodePvmS_mS_mS_mS_m_cloned.node, i8* %_Z9relu_nodePvm_cloned.node, i1 true, i32 1, i32 1, i1 false)
+ call void @llvm.hpvm.bind.output(i8* %_Z9relu_nodePvm_cloned.node, i32 0, i32 0, i1 false)
+ call void @llvm.hpvm.bind.output(i8* %_Z9relu_nodePvm_cloned.node, i32 1, i32 1, i1 false)
+ ret %struct.out._Z4rootPvmS_mS_mS_mS_m undef
+}
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.init() #3
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.launch(i8*, i8*, i1) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.wait(i8*) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.cleanup() #3
+
+attributes #0 = { norecurse nounwind uwtable "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "min-legal-vector-width"="0" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-jump-tables"="false" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+attributes #1 = { nofree nounwind "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+attributes #2 = { "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+attributes #3 = { nounwind }
+attributes #4 = { nounwind uwtable "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "min-legal-vector-width"="0" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-jump-tables"="false" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+
+!llvm.module.flags = !{!0}
+!llvm.ident = !{!1}
+!hpvm_hint_promise = !{!2, !3, !4}
+!hpvm_hint_gpu = !{}
+!hpvm_hint_cpu = !{}
+!hpvm_hint_cpu_gpu = !{}
+!hpvm_hint_cudnn = !{}
+
+!0 = !{i32 1, !"wchar_size", i32 4}
+!1 = !{!"clang version 9.0.0 (https://gitlab.engr.illinois.edu/llvm/hpvm.git 5c964d17b48694847d60e6755519cbfa0603770f)"}
+!2 = !{%struct.out._Z9relu_nodePvm (i8*, i64)* @_Z9relu_nodePvm_cloned}
+!3 = !{%struct.out._Z19batchNormLayer_nodePvmS_mS_mS_mS_m (i8*, i64, i8*, i64, i8*, i64, i8*, i64, i8*, i64)* @_Z19batchNormLayer_nodePvmS_mS_mS_mS_m_cloned}
+!4 = !{%struct.out._Z4rootPvmS_mS_mS_mS_m (i8*, i64, i8*, i64, i8*, i64, i8*, i64, i8*, i64)* @_Z4rootPvmS_mS_mS_mS_m_cloned}
+!5 = !{!6, !7, i64 0}
+!6 = !{!"_ZTS6RootIn", !7, i64 0, !10, i64 8, !7, i64 16, !10, i64 24, !7, i64 32, !10, i64 40, !7, i64 48, !10, i64 56, !7, i64 64, !10, i64 72, !11, i64 80}
+!7 = !{!"any pointer", !8, i64 0}
+!8 = !{!"omnipotent char", !9, i64 0}
+!9 = !{!"Simple C++ TBAA"}
+!10 = !{!"long", !8, i64 0}
+!11 = !{!"_ZTS5ret_t", !7, i64 0, !10, i64 8}
diff --git a/hpvm/test/hpvm_pass/DFG2LLVM_WrapperAPI/wrapConv.ll b/hpvm/test/hpvm_pass/DFG2LLVM_WrapperAPI/wrapConv.ll
new file mode 100644
index 0000000000000000000000000000000000000000..3a0ef959449b8057a7d3440b5da3fc2a671905ad
--- /dev/null
+++ b/hpvm/test/hpvm_pass/DFG2LLVM_WrapperAPI/wrapConv.ll
@@ -0,0 +1,136 @@
+; RUN: opt -load LLVMBuildDFG.so -load LLVMInPlaceDFGAnalysis.so -load LLVMDFG2LLVM_WrapperAPI.so -S -inplace -dfg2llvm-wrapperapi --configuration-inputs-filename=conf_file.txt < %s | FileCheck %s
+
+; ModuleID = 'fuseConv.hpvm_.ll'
+source_filename = "fuseConv.cpp"
+target datalayout = "e-m:e-i64:64-f80:128-n8:16:32:64-S128"
+target triple = "x86_64-unknown-linux-gnu"
+
+%struct.out._Z4rootPvmS_mS_m = type <{ i8*, i64 }>
+%struct.out._Z13pool_max_nodePvm = type <{ i8*, i64 }>
+
+; CHECK-LABEL: i32 @main(
+; CHECK: call void @llvm_hpvm_initApproxhpvmRt(i32 0)
+; CHECK-NEXT: call void @llvm_hpvm_initializeRuntimeController(
+; CHECK-NEXT: call void @llvm.hpvm.init()
+; CHECK: call void @hpvm_request_tensor(
+; CHECK: call void @llvm_hpvm_cleanupApproxhpvmRt()
+; CHECK: call void @llvm_hpvm_clearRuntimeController()
+; CHECK-NEXT: call void @llvm.hpvm.cleanup()
+
+
+
+; CHECK-LABEL: @_Z9conv_nodePvmS_m_cloned__Z13bias_add_nodePvmS_m_cloned__Z9tanh_nodePvm_cloned__Z13pool_max_nodePvm_cloned_wrapper_api(
+; CHECK: call void @hpvm_request_tensor(
+; CHECK: call void @hpvm_request_tensor(
+; CHECK: call void @hpvm_request_tensor(
+; CHECK: call i8* @wrapper_ConvLayer2(
+; CHECK: ret
+
+
+
+; Function Attrs: norecurse nounwind uwtable
+define dso_local i32 @main() local_unnamed_addr #0 {
+entry:
+ call void @llvm.hpvm.init()
+ %call = tail call noalias i8* @malloc(i64 64) #3
+ %graphID = call i8* @llvm.hpvm.launch(i8* bitcast (%struct.out._Z4rootPvmS_mS_m (i8*, i64, i8*, i64, i8*, i64)* @_Z4rootPvmS_mS_m_cloned to i8*), i8* %call, i1 false)
+ call void @llvm.hpvm.wait(i8* %graphID)
+ %input = bitcast i8* %call to i8**
+ %0 = load i8*, i8** %input, align 1, !tbaa !4
+ tail call void @hpvm_request_tensor(i8* %0, i32 1) #3
+ call void @llvm.hpvm.cleanup()
+ ret i32 0
+}
+
+; Function Attrs: nofree nounwind
+declare dso_local noalias i8* @malloc(i64) local_unnamed_addr #1
+
+declare dso_local void @hpvm_request_tensor(i8*, i32) local_unnamed_addr #2
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.convolution(i8*, i8*, i32, i32, i32, i32) #3
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.add(i8*, i8*) #3
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.tanh(i8*) #3
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.pool.max(i8*, i32, i32, i32, i32, i32, i32) #3
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.createNode(i8*) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.bind.input(i8*, i32, i32, i1) #3
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.createEdge(i8*, i8*, i1, i32, i32, i1) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.bind.output(i8*, i32, i32, i1) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z4rootPvmS_mS_m @_Z4rootPvmS_mS_m_cloned(i8* in %input, i64 %input_bytes, i8* in %conv2d_1_w, i64 %conv2d_1_w_bytes, i8* in %conv2d_1_b, i64 %conv2d_1_b_bytes) #4 {
+entry:
+ %_Z9conv_nodePvmS_m_cloned__Z13bias_add_nodePvmS_m_cloned__Z9tanh_nodePvm_cloned__Z13pool_max_nodePvm_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z13pool_max_nodePvm (i8*, i64, i8*, i64, i8*, i64)* @_Z9conv_nodePvmS_m_cloned__Z13bias_add_nodePvmS_m_cloned__Z9tanh_nodePvm_cloned__Z13pool_max_nodePvm_cloned to i8*))
+ call void @llvm.hpvm.bind.input(i8* %_Z9conv_nodePvmS_m_cloned__Z13bias_add_nodePvmS_m_cloned__Z9tanh_nodePvm_cloned__Z13pool_max_nodePvm_cloned.node, i32 0, i32 0, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z9conv_nodePvmS_m_cloned__Z13bias_add_nodePvmS_m_cloned__Z9tanh_nodePvm_cloned__Z13pool_max_nodePvm_cloned.node, i32 1, i32 1, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z9conv_nodePvmS_m_cloned__Z13bias_add_nodePvmS_m_cloned__Z9tanh_nodePvm_cloned__Z13pool_max_nodePvm_cloned.node, i32 2, i32 2, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z9conv_nodePvmS_m_cloned__Z13bias_add_nodePvmS_m_cloned__Z9tanh_nodePvm_cloned__Z13pool_max_nodePvm_cloned.node, i32 3, i32 3, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z9conv_nodePvmS_m_cloned__Z13bias_add_nodePvmS_m_cloned__Z9tanh_nodePvm_cloned__Z13pool_max_nodePvm_cloned.node, i32 4, i32 4, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z9conv_nodePvmS_m_cloned__Z13bias_add_nodePvmS_m_cloned__Z9tanh_nodePvm_cloned__Z13pool_max_nodePvm_cloned.node, i32 5, i32 5, i1 false)
+ call void @llvm.hpvm.bind.output(i8* %_Z9conv_nodePvmS_m_cloned__Z13bias_add_nodePvmS_m_cloned__Z9tanh_nodePvm_cloned__Z13pool_max_nodePvm_cloned.node, i32 0, i32 0, i1 false)
+ call void @llvm.hpvm.bind.output(i8* %_Z9conv_nodePvmS_m_cloned__Z13bias_add_nodePvmS_m_cloned__Z9tanh_nodePvm_cloned__Z13pool_max_nodePvm_cloned.node, i32 1, i32 1, i1 false)
+ ret %struct.out._Z4rootPvmS_mS_m undef
+}
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.init() #3
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.launch(i8*, i8*, i1) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.wait(i8*) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.cleanup() #3
+
+define %struct.out._Z13pool_max_nodePvm @_Z9conv_nodePvmS_m_cloned__Z13bias_add_nodePvmS_m_cloned__Z9tanh_nodePvm_cloned__Z13pool_max_nodePvm_cloned(i8* in %s_s_s_t1, i64 %s_s_s_bytes_t1, i8* in %s_s_s_t2, i64 %s_s_s_bytes_t2, i8* in %s_s_d_t2, i64 %s_s_d_bytes_t2) {
+entry:
+ %s_s_s_call1 = call i8* @llvm.hpvm.tensor.convolution(i8* %s_s_s_t1, i8* %s_s_s_t2, i32 2, i32 2, i32 1, i32 1)
+ %s_s_call1 = call i8* @llvm.hpvm.tensor.add(i8* %s_s_s_call1, i8* %s_s_d_t2)
+ %s_call1 = call i8* @llvm.hpvm.tensor.tanh(i8* %s_s_call1)
+ %call1 = call i8* @llvm.hpvm.tensor.pool.max(i8* %s_call1, i32 2, i32 2, i32 0, i32 0, i32 2, i32 2)
+ %returnStruct = insertvalue %struct.out._Z13pool_max_nodePvm undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z13pool_max_nodePvm %returnStruct, i64 0, 1
+ ret %struct.out._Z13pool_max_nodePvm %returnStruct2
+}
+
+attributes #0 = { norecurse nounwind uwtable "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "min-legal-vector-width"="0" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-jump-tables"="false" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+attributes #1 = { nofree nounwind "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+attributes #2 = { "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+attributes #3 = { nounwind }
+attributes #4 = { nounwind uwtable "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "min-legal-vector-width"="0" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-jump-tables"="false" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+
+!llvm.module.flags = !{!0}
+!llvm.ident = !{!1}
+!hpvm_hint_promise = !{!2, !3}
+!hpvm_hint_gpu = !{}
+!hpvm_hint_cpu = !{}
+!hpvm_hint_cpu_gpu = !{}
+!hpvm_hint_cudnn = !{}
+
+!0 = !{i32 1, !"wchar_size", i32 4}
+!1 = !{!"clang version 9.0.0 (https://gitlab.engr.illinois.edu/llvm/hpvm.git 5ccb2a532b5a0d82cee5c0d29a629a29dec2307c)"}
+!2 = !{%struct.out._Z4rootPvmS_mS_m (i8*, i64, i8*, i64, i8*, i64)* @_Z4rootPvmS_mS_m_cloned}
+!3 = !{%struct.out._Z13pool_max_nodePvm (i8*, i64, i8*, i64, i8*, i64)* @_Z9conv_nodePvmS_m_cloned__Z13bias_add_nodePvmS_m_cloned__Z9tanh_nodePvm_cloned__Z13pool_max_nodePvm_cloned}
+!4 = !{!5, !6, i64 0}
+!5 = !{!"_ZTS6RootIn", !6, i64 0, !9, i64 8, !6, i64 16, !9, i64 24, !6, i64 32, !9, i64 40, !10, i64 48}
+!6 = !{!"any pointer", !7, i64 0}
+!7 = !{!"omnipotent char", !8, i64 0}
+!8 = !{!"Simple C++ TBAA"}
+!9 = !{!"long", !7, i64 0}
+!10 = !{!"_ZTS5ret_t", !6, i64 0, !9, i64 8}
diff --git a/hpvm/test/hpvm_pass/DFG2LLVM_WrapperAPI/wrapGroupPoolSoftmax.ll b/hpvm/test/hpvm_pass/DFG2LLVM_WrapperAPI/wrapGroupPoolSoftmax.ll
new file mode 100644
index 0000000000000000000000000000000000000000..25344f98f56bd7954952094028a2f30bbdb62bb3
--- /dev/null
+++ b/hpvm/test/hpvm_pass/DFG2LLVM_WrapperAPI/wrapGroupPoolSoftmax.ll
@@ -0,0 +1,164 @@
+; RUN: opt -load LLVMBuildDFG.so -load LLVMInPlaceDFGAnalysis.so -load LLVMDFG2LLVM_WrapperAPI.so -S -inplace -dfg2llvm-wrapperapi --configuration-inputs-filename=conf_file.txt < %s | FileCheck %s
+; ModuleID = 'groupPoolSoftmax.hpvm.ll'
+source_filename = "groupPoolSoftmax.cpp"
+target datalayout = "e-m:e-i64:64-f80:128-n8:16:32:64-S128"
+target triple = "x86_64-unknown-linux-gnu"
+
+%struct.out._Z14groupConv_nodePvmS_m = type <{ i8*, i64 }>
+%struct.out._Z12softmax_nodePvm = type <{ i8*, i64 }>
+%struct.out._Z13pool_max_nodePvm = type <{ i8*, i64 }>
+%struct.out._Z4rootPvmS_m = type <{ i8*, i64 }>
+
+
+; CHECK-LABEL: i32 @main(
+; CHECK: call void @llvm_hpvm_initApproxhpvmRt(i32 0)
+; CHECK-NEXT: call void @llvm_hpvm_initializeRuntimeController(
+; CHECK-NEXT: call void @llvm.hpvm.init()
+; CHECK: call void @hpvm_request_tensor(
+; CHECK: call void @llvm_hpvm_cleanupApproxhpvmRt()
+; CHECK: call void @llvm_hpvm_clearRuntimeController()
+; CHECK-NEXT: call void @llvm.hpvm.cleanup()
+
+; CHECK-LABEL: @_Z14groupConv_nodePvmS_m_cloned_wrapper_api(
+; CHECK: call void @hpvm_request_tensor(
+; CHECK: call void @hpvm_request_tensor(
+; CHECK: call i8* @wrapper_tensorGroupConvolution(i8* getelementptr inbounds ([2 x i8], [2 x i8]* @2, i32 0, i32 0), i8* %t1, i8* %t2, i32 1, i32 1, i32 1, i32 1, i32 1, i32 32)
+; CHECK: ret
+
+; CHECK-LABEL: @_Z13pool_max_nodePvm_cloned_wrapper_api(
+; CHECK: call void @hpvm_request_tensor(
+; CHECK: call i8* @wrapper_tensorPooling(i8* getelementptr inbounds ([2 x i8], [2 x i8]* @3, i32 0, i32 0), i8* %t1, i32 0, i32 2, i32 2, i32 0, i32 0, i32 2, i32 2)
+; CHECK: ret
+
+; CHECK-LABEL: @_Z12softmax_nodePvm_cloned_wrapper_api(
+; CHECK: call void @hpvm_request_tensor(
+; CHECK: call i8* @wrapper_tensorSoftmax(
+; CHECK: ret
+
+
+
+; Function Attrs: norecurse uwtable
+define dso_local i32 @main() local_unnamed_addr #0 {
+entry:
+ call void @llvm.hpvm.init()
+ %call = tail call noalias i8* @malloc(i64 48) #3
+ %graphID = call i8* @llvm.hpvm.launch(i8* bitcast (%struct.out._Z4rootPvmS_m (i8*, i64, i8*, i64)* @_Z4rootPvmS_m_cloned to i8*), i8* %call, i1 false)
+ call void @llvm.hpvm.wait(i8* %graphID)
+ %input = bitcast i8* %call to i8**
+ %0 = load i8*, i8** %input, align 1, !tbaa !6
+ tail call void @hpvm_request_tensor(i8* %0, i32 1)
+ call void @llvm.hpvm.cleanup()
+ ret i32 0
+}
+
+; Function Attrs: nofree nounwind
+declare dso_local noalias i8* @malloc(i64) local_unnamed_addr #1
+
+declare dso_local void @hpvm_request_tensor(i8*, i32) local_unnamed_addr #2
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.group.convolution(i8*, i8*, i32, i32, i32, i32, i32, i32) #3
+
+; Function Attrs: uwtable
+define dso_local %struct.out._Z14groupConv_nodePvmS_m @_Z14groupConv_nodePvmS_m_cloned(i8* in %t1, i64 %bytes_t1, i8* in %t2, i64 %bytes_t2) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.group.convolution(i8* %t1, i8* %t2, i32 1, i32 1, i32 1, i32 1, i32 1, i32 32)
+ %returnStruct = insertvalue %struct.out._Z14groupConv_nodePvmS_m undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z14groupConv_nodePvmS_m %returnStruct, i64 0, 1
+ ret %struct.out._Z14groupConv_nodePvmS_m %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.softmax(i8*) #3
+
+; Function Attrs: uwtable
+define dso_local %struct.out._Z12softmax_nodePvm @_Z12softmax_nodePvm_cloned(i8* in %t1, i64 %bytes_t1) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.softmax(i8* %t1)
+ %returnStruct = insertvalue %struct.out._Z12softmax_nodePvm undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z12softmax_nodePvm %returnStruct, i64 0, 1
+ ret %struct.out._Z12softmax_nodePvm %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.pool.max(i8*, i32, i32, i32, i32, i32, i32) #3
+
+; Function Attrs: uwtable
+define dso_local %struct.out._Z13pool_max_nodePvm @_Z13pool_max_nodePvm_cloned(i8* in %t1, i64 %bytes_t1) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.pool.max(i8* %t1, i32 2, i32 2, i32 0, i32 0, i32 2, i32 2)
+ %returnStruct = insertvalue %struct.out._Z13pool_max_nodePvm undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z13pool_max_nodePvm %returnStruct, i64 0, 1
+ ret %struct.out._Z13pool_max_nodePvm %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.createNode(i8*) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.bind.input(i8*, i32, i32, i1) #3
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.createEdge(i8*, i8*, i1, i32, i32, i1) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.bind.output(i8*, i32, i32, i1) #3
+
+; Function Attrs: uwtable
+define dso_local %struct.out._Z4rootPvmS_m @_Z4rootPvmS_m_cloned(i8* in %input, i64 %input_bytes, i8* in %gconv, i64 %gconv_bytes) #4 {
+entry:
+ %_Z14groupConv_nodePvmS_m_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z14groupConv_nodePvmS_m (i8*, i64, i8*, i64)* @_Z14groupConv_nodePvmS_m_cloned to i8*))
+ call void @llvm.hpvm.bind.input(i8* %_Z14groupConv_nodePvmS_m_cloned.node, i32 0, i32 0, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z14groupConv_nodePvmS_m_cloned.node, i32 1, i32 1, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z14groupConv_nodePvmS_m_cloned.node, i32 2, i32 2, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z14groupConv_nodePvmS_m_cloned.node, i32 3, i32 3, i1 false)
+ %_Z13pool_max_nodePvm_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z13pool_max_nodePvm (i8*, i64)* @_Z13pool_max_nodePvm_cloned to i8*))
+ %output = call i8* @llvm.hpvm.createEdge(i8* %_Z14groupConv_nodePvmS_m_cloned.node, i8* %_Z13pool_max_nodePvm_cloned.node, i1 true, i32 0, i32 0, i1 false)
+ %output1 = call i8* @llvm.hpvm.createEdge(i8* %_Z14groupConv_nodePvmS_m_cloned.node, i8* %_Z13pool_max_nodePvm_cloned.node, i1 true, i32 1, i32 1, i1 false)
+ %_Z12softmax_nodePvm_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z12softmax_nodePvm (i8*, i64)* @_Z12softmax_nodePvm_cloned to i8*))
+ %output2 = call i8* @llvm.hpvm.createEdge(i8* %_Z13pool_max_nodePvm_cloned.node, i8* %_Z12softmax_nodePvm_cloned.node, i1 true, i32 0, i32 0, i1 false)
+ %output3 = call i8* @llvm.hpvm.createEdge(i8* %_Z13pool_max_nodePvm_cloned.node, i8* %_Z12softmax_nodePvm_cloned.node, i1 true, i32 1, i32 1, i1 false)
+ call void @llvm.hpvm.bind.output(i8* %_Z12softmax_nodePvm_cloned.node, i32 0, i32 0, i1 false)
+ call void @llvm.hpvm.bind.output(i8* %_Z12softmax_nodePvm_cloned.node, i32 1, i32 1, i1 false)
+ ret %struct.out._Z4rootPvmS_m undef
+}
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.init() #3
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.launch(i8*, i8*, i1) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.wait(i8*) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.cleanup() #3
+
+attributes #0 = { norecurse uwtable "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "min-legal-vector-width"="0" "no-frame-pointer-elim"="false" "no-infs-fp-math"="false" "no-jump-tables"="false" "no-nans-fp-math"="false" "no-signed-zeros-fp-math"="false" "no-trapping-math"="false" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="false" "use-soft-float"="false" }
+attributes #1 = { nofree nounwind "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "no-frame-pointer-elim"="false" "no-infs-fp-math"="false" "no-nans-fp-math"="false" "no-signed-zeros-fp-math"="false" "no-trapping-math"="false" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="false" "use-soft-float"="false" }
+attributes #2 = { "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "no-frame-pointer-elim"="false" "no-infs-fp-math"="false" "no-nans-fp-math"="false" "no-signed-zeros-fp-math"="false" "no-trapping-math"="false" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="false" "use-soft-float"="false" }
+attributes #3 = { nounwind }
+attributes #4 = { uwtable "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "min-legal-vector-width"="0" "no-frame-pointer-elim"="false" "no-infs-fp-math"="false" "no-jump-tables"="false" "no-nans-fp-math"="false" "no-signed-zeros-fp-math"="false" "no-trapping-math"="false" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="false" "use-soft-float"="false" }
+
+!llvm.module.flags = !{!0}
+!llvm.ident = !{!1}
+!hpvm_hint_promise = !{!2, !3, !4, !5}
+!hpvm_hint_gpu = !{}
+!hpvm_hint_cpu = !{}
+!hpvm_hint_cpu_gpu = !{}
+!hpvm_hint_cudnn = !{}
+
+!0 = !{i32 1, !"wchar_size", i32 4}
+!1 = !{!"clang version 9.0.0 (https://gitlab.engr.illinois.edu/llvm/hpvm.git 5c2a920901bb51fcc2e51f920c0f726cbd6d3f0d)"}
+!2 = !{%struct.out._Z14groupConv_nodePvmS_m (i8*, i64, i8*, i64)* @_Z14groupConv_nodePvmS_m_cloned}
+!3 = !{%struct.out._Z12softmax_nodePvm (i8*, i64)* @_Z12softmax_nodePvm_cloned}
+!4 = !{%struct.out._Z13pool_max_nodePvm (i8*, i64)* @_Z13pool_max_nodePvm_cloned}
+!5 = !{%struct.out._Z4rootPvmS_m (i8*, i64, i8*, i64)* @_Z4rootPvmS_m_cloned}
+!6 = !{!7, !8, i64 0}
+!7 = !{!"_ZTS6RootIn", !8, i64 0, !11, i64 8, !8, i64 16, !11, i64 24, !12, i64 32}
+!8 = !{!"any pointer", !9, i64 0}
+!9 = !{!"omnipotent char", !10, i64 0}
+!10 = !{!"Simple C++ TBAA"}
+!11 = !{!"long", !9, i64 0}
+!12 = !{!"_ZTS5ret_t", !8, i64 0, !11, i64 8}
diff --git a/hpvm/test/hpvm_pass/DFG2LLVM_WrapperAPI/wrapMatMul.ll b/hpvm/test/hpvm_pass/DFG2LLVM_WrapperAPI/wrapMatMul.ll
new file mode 100644
index 0000000000000000000000000000000000000000..c1546533d844bc71003a8ff7148e6c09a932deaf
--- /dev/null
+++ b/hpvm/test/hpvm_pass/DFG2LLVM_WrapperAPI/wrapMatMul.ll
@@ -0,0 +1,153 @@
+; RUN: opt -load LLVMBuildDFG.so -load LLVMInPlaceDFGAnalysis.so -load LLVMDFG2LLVM_WrapperAPI.so -S -inplace -dfg2llvm-wrapperapi --configuration-inputs-filename=conf_file.txt < %s | FileCheck %s
+
+; ModuleID = 'fuseMatMul.hpvm.ll'
+source_filename = "fuseMatMul.cpp"
+target datalayout = "e-m:e-i64:64-f80:128-n8:16:32:64-S128"
+target triple = "x86_64-unknown-linux-gnu"
+
+%struct.out._Z13pool_max_nodePvm = type <{ i8*, i64 }>
+%struct.out._Z4rootPvmS_mS_m = type <{ i8*, i64 }>
+%struct.out._Z9tanh_nodePvm = type <{ i8*, i64 }>
+
+; CHECK-LABEL: i32 @main(
+; CHECK: call void @llvm_hpvm_initApproxhpvmRt(i32 0)
+; CHECK-NEXT: call void @llvm_hpvm_initializeRuntimeController(
+; CHECK-NEXT: call void @llvm.hpvm.init()
+; CHECK: call void @hpvm_request_tensor(
+; CHECK: call void @llvm_hpvm_cleanupApproxhpvmRt()
+; CHECK: call void @llvm_hpvm_clearRuntimeController()
+; CHECK-NEXT: call void @llvm.hpvm.cleanup()
+
+
+; CHECK-LABEL: @_Z11matmul_nodePvmS_m_cloned__Z13bias_add_nodePvmS_m_cloned__Z9tanh_nodePvm_cloned_wrapper_api(
+; CHECK: call void @hpvm_request_tensor(
+; CHECK: call void @hpvm_request_tensor(
+; CHECK: call void @hpvm_request_tensor(
+; CHECK: call i8* @wrapper_FCLayer(
+; CHECK: ret
+
+; CHECK-LABEL: @_Z13pool_max_nodePvm_cloned_wrapper_api(
+; CHECK: call void @hpvm_request_tensor(i8* %t1, i32 1)
+; CHECK: call i8* @wrapper_tensorPooling(
+; CHECK: ret
+
+
+
+; Function Attrs: norecurse nounwind uwtable
+define dso_local i32 @main() local_unnamed_addr #0 {
+entry:
+ call void @llvm.hpvm.init()
+ %call = tail call noalias i8* @malloc(i64 64) #3
+ %graphID = call i8* @llvm.hpvm.launch(i8* bitcast (%struct.out._Z4rootPvmS_mS_m (i8*, i64, i8*, i64, i8*, i64)* @_Z4rootPvmS_mS_m_cloned to i8*), i8* %call, i1 false)
+ call void @llvm.hpvm.wait(i8* %graphID)
+ %input = bitcast i8* %call to i8**
+ %0 = load i8*, i8** %input, align 1, !tbaa !5
+ tail call void @hpvm_request_tensor(i8* %0, i32 1) #3
+ call void @llvm.hpvm.cleanup()
+ ret i32 0
+}
+
+; Function Attrs: nofree nounwind
+declare dso_local noalias i8* @malloc(i64) local_unnamed_addr #1
+
+declare dso_local void @hpvm_request_tensor(i8*, i32) local_unnamed_addr #2
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.mul(i8*, i8*) #3
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.add(i8*, i8*) #3
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.tanh(i8*) #3
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.pool.max(i8*, i32, i32, i32, i32, i32, i32) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z13pool_max_nodePvm @_Z13pool_max_nodePvm_cloned(i8* in %t1, i64 %bytes_t1) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.pool.max(i8* %t1, i32 2, i32 2, i32 0, i32 0, i32 2, i32 2)
+ %returnStruct = insertvalue %struct.out._Z13pool_max_nodePvm undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z13pool_max_nodePvm %returnStruct, i64 0, 1
+ ret %struct.out._Z13pool_max_nodePvm %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.createNode(i8*) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.bind.input(i8*, i32, i32, i1) #3
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.createEdge(i8*, i8*, i1, i32, i32, i1) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.bind.output(i8*, i32, i32, i1) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z4rootPvmS_mS_m @_Z4rootPvmS_mS_m_cloned(i8* in %input, i64 %input_bytes, i8* in %matmul2d_1_w, i64 %matmul2d_1_w_bytes, i8* in %matmul2d_1_b, i64 %matmul2d_1_b_bytes) #4 {
+entry:
+ %_Z11matmul_nodePvmS_m_cloned__Z13bias_add_nodePvmS_m_cloned__Z9tanh_nodePvm_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z9tanh_nodePvm (i8*, i64, i8*, i64, i8*, i64)* @_Z11matmul_nodePvmS_m_cloned__Z13bias_add_nodePvmS_m_cloned__Z9tanh_nodePvm_cloned to i8*))
+ call void @llvm.hpvm.bind.input(i8* %_Z11matmul_nodePvmS_m_cloned__Z13bias_add_nodePvmS_m_cloned__Z9tanh_nodePvm_cloned.node, i32 0, i32 0, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z11matmul_nodePvmS_m_cloned__Z13bias_add_nodePvmS_m_cloned__Z9tanh_nodePvm_cloned.node, i32 1, i32 1, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z11matmul_nodePvmS_m_cloned__Z13bias_add_nodePvmS_m_cloned__Z9tanh_nodePvm_cloned.node, i32 2, i32 2, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z11matmul_nodePvmS_m_cloned__Z13bias_add_nodePvmS_m_cloned__Z9tanh_nodePvm_cloned.node, i32 3, i32 3, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z11matmul_nodePvmS_m_cloned__Z13bias_add_nodePvmS_m_cloned__Z9tanh_nodePvm_cloned.node, i32 4, i32 4, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z11matmul_nodePvmS_m_cloned__Z13bias_add_nodePvmS_m_cloned__Z9tanh_nodePvm_cloned.node, i32 5, i32 5, i1 false)
+ %_Z13pool_max_nodePvm_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z13pool_max_nodePvm (i8*, i64)* @_Z13pool_max_nodePvm_cloned to i8*))
+ %output4 = call i8* @llvm.hpvm.createEdge(i8* %_Z11matmul_nodePvmS_m_cloned__Z13bias_add_nodePvmS_m_cloned__Z9tanh_nodePvm_cloned.node, i8* %_Z13pool_max_nodePvm_cloned.node, i1 true, i32 0, i32 0, i1 false)
+ %output5 = call i8* @llvm.hpvm.createEdge(i8* %_Z11matmul_nodePvmS_m_cloned__Z13bias_add_nodePvmS_m_cloned__Z9tanh_nodePvm_cloned.node, i8* %_Z13pool_max_nodePvm_cloned.node, i1 true, i32 1, i32 1, i1 false)
+ call void @llvm.hpvm.bind.output(i8* %_Z13pool_max_nodePvm_cloned.node, i32 0, i32 0, i1 false)
+ call void @llvm.hpvm.bind.output(i8* %_Z13pool_max_nodePvm_cloned.node, i32 1, i32 1, i1 false)
+ ret %struct.out._Z4rootPvmS_mS_m undef
+}
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.init() #3
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.launch(i8*, i8*, i1) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.wait(i8*) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.cleanup() #3
+
+define %struct.out._Z9tanh_nodePvm @_Z11matmul_nodePvmS_m_cloned__Z13bias_add_nodePvmS_m_cloned__Z9tanh_nodePvm_cloned(i8* in %s_s_t1, i64 %s_s_bytes_t1, i8* in %s_s_t2, i64 %s_s_bytes_t2, i8* in %s_d_t2, i64 %s_d_bytes_t2) {
+entry:
+ %s_s_call1 = call i8* @llvm.hpvm.tensor.mul(i8* %s_s_t1, i8* %s_s_t2)
+ %s_call1 = call i8* @llvm.hpvm.tensor.add(i8* %s_s_call1, i8* %s_d_t2)
+ %call1 = call i8* @llvm.hpvm.tensor.tanh(i8* %s_call1)
+ %returnStruct = insertvalue %struct.out._Z9tanh_nodePvm undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z9tanh_nodePvm %returnStruct, i64 0, 1
+ ret %struct.out._Z9tanh_nodePvm %returnStruct2
+}
+
+attributes #0 = { norecurse nounwind uwtable "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "min-legal-vector-width"="0" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-jump-tables"="false" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+attributes #1 = { nofree nounwind "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+attributes #2 = { "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+attributes #3 = { nounwind }
+attributes #4 = { nounwind uwtable "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "min-legal-vector-width"="0" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-jump-tables"="false" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+
+!llvm.module.flags = !{!0}
+!llvm.ident = !{!1}
+!hpvm_hint_promise = !{!2, !3, !4}
+!hpvm_hint_gpu = !{}
+!hpvm_hint_cpu = !{}
+!hpvm_hint_cpu_gpu = !{}
+!hpvm_hint_cudnn = !{}
+
+!0 = !{i32 1, !"wchar_size", i32 4}
+!1 = !{!"clang version 9.0.0 (https://gitlab.engr.illinois.edu/llvm/hpvm.git 5ccb2a532b5a0d82cee5c0d29a629a29dec2307c)"}
+!2 = !{%struct.out._Z13pool_max_nodePvm (i8*, i64)* @_Z13pool_max_nodePvm_cloned}
+!3 = !{%struct.out._Z4rootPvmS_mS_m (i8*, i64, i8*, i64, i8*, i64)* @_Z4rootPvmS_mS_m_cloned}
+!4 = !{%struct.out._Z9tanh_nodePvm (i8*, i64, i8*, i64, i8*, i64)* @_Z11matmul_nodePvmS_m_cloned__Z13bias_add_nodePvmS_m_cloned__Z9tanh_nodePvm_cloned}
+!5 = !{!6, !7, i64 0}
+!6 = !{!"_ZTS6RootIn", !7, i64 0, !10, i64 8, !7, i64 16, !10, i64 24, !7, i64 32, !10, i64 40, !11, i64 48}
+!7 = !{!"any pointer", !8, i64 0}
+!8 = !{!"omnipotent char", !9, i64 0}
+!9 = !{!"Simple C++ TBAA"}
+!10 = !{!"long", !8, i64 0}
+!11 = !{!"_ZTS5ret_t", !7, i64 0, !10, i64 8}
diff --git a/hpvm/test/hpvm_pass/FuseHPVMTensorNodes/fuseConv.hpvm.ll b/hpvm/test/hpvm_pass/FuseHPVMTensorNodes/fuseConv.hpvm.ll
new file mode 100644
index 0000000000000000000000000000000000000000..4c60c749ff808d4d04f599be39e4992bbc7c8db1
--- /dev/null
+++ b/hpvm/test/hpvm_pass/FuseHPVMTensorNodes/fuseConv.hpvm.ll
@@ -0,0 +1,177 @@
+; RUN: opt -load LLVMBuildDFG.so -load LLVMInPlaceDFGAnalysis.so -load LLVMFuseHPVMTensorNodes.so -S -inplace -hpvm-fuse < %s | FileCheck %s
+; ModuleID = 'fuseConv.ll'
+source_filename = "fuseConv.cpp"
+target datalayout = "e-m:e-i64:64-f80:128-n8:16:32:64-S128"
+target triple = "x86_64-unknown-linux-gnu"
+
+%struct.out._Z9conv_nodePvmS_m = type <{ i8*, i64 }>
+%struct.out._Z13bias_add_nodePvmS_m = type <{ i8*, i64 }>
+%struct.out._Z9tanh_nodePvm = type <{ i8*, i64 }>
+%struct.out._Z13pool_max_nodePvm = type <{ i8*, i64 }>
+%struct.out._Z4rootPvmS_mS_m = type <{ i8*, i64 }>
+
+; CHECK-LABEL: @_Z4rootPvmS_mS_m_cloned(
+; CHECK: call i8* @llvm.hpvm.createNode(
+; CHECK-NEXT: call void @llvm.hpvm.bind.input(
+; CHECK-NEXT: call void @llvm.hpvm.bind.input(
+; CHECK-NEXT: call void @llvm.hpvm.bind.input(
+; CHECK-NEXT: call void @llvm.hpvm.bind.input(
+; CHECK-NEXT: call void @llvm.hpvm.bind.input(
+; CHECK-NEXT: call void @llvm.hpvm.bind.input(
+; CHECK: call void @llvm.hpvm.bind.output(
+; CHECK: call void @llvm.hpvm.bind.output(
+; CHECK: ret
+
+
+; CHECK-LABEL: @_Z9conv_nodePvmS_m_cloned__Z13bias_add_nodePvmS_m_cloned__Z9tanh_nodePvm_cloned__Z13pool_max_nodePvm_cloned(
+; CHECK: call i8* @llvm.hpvm.tensor.convolution(
+; CHECK-NEXT: call i8* @llvm.hpvm.tensor.add(
+; CHECK-NEXT: call i8* @llvm.hpvm.tensor.tanh(
+; CHECK-NEXT: call i8* @llvm.hpvm.tensor.pool.max(
+; CHECK: ret
+
+
+
+; Function Attrs: norecurse nounwind uwtable
+define dso_local i32 @main() local_unnamed_addr #0 {
+entry:
+ call void @llvm.hpvm.init()
+ %call = tail call noalias i8* @malloc(i64 64) #3
+ %graphID = call i8* @llvm.hpvm.launch(i8* bitcast (%struct.out._Z4rootPvmS_mS_m (i8*, i64, i8*, i64, i8*, i64)* @_Z4rootPvmS_mS_m_cloned to i8*), i8* %call, i1 false)
+ call void @llvm.hpvm.wait(i8* %graphID)
+ %input = bitcast i8* %call to i8**
+ %0 = load i8*, i8** %input, align 1, !tbaa !7
+ tail call void @hpvm_request_tensor(i8* %0, i32 1) #3
+ call void @llvm.hpvm.cleanup()
+ ret i32 0
+}
+
+; Function Attrs: nofree nounwind
+declare dso_local noalias i8* @malloc(i64) local_unnamed_addr #1
+
+declare dso_local void @hpvm_request_tensor(i8*, i32) local_unnamed_addr #2
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.convolution(i8*, i8*, i32, i32, i32, i32) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z9conv_nodePvmS_m @_Z9conv_nodePvmS_m_cloned(i8* in %t1, i64 %bytes_t1, i8* in %t2, i64 %bytes_t2) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.convolution(i8* %t1, i8* %t2, i32 2, i32 2, i32 1, i32 1)
+ %returnStruct = insertvalue %struct.out._Z9conv_nodePvmS_m undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z9conv_nodePvmS_m %returnStruct, i64 0, 1
+ ret %struct.out._Z9conv_nodePvmS_m %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.add(i8*, i8*) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z13bias_add_nodePvmS_m @_Z13bias_add_nodePvmS_m_cloned(i8* in %t1, i64 %bytes_t1, i8* in %t2, i64 %bytes_t2) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.add(i8* %t1, i8* %t2)
+ %returnStruct = insertvalue %struct.out._Z13bias_add_nodePvmS_m undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z13bias_add_nodePvmS_m %returnStruct, i64 0, 1
+ ret %struct.out._Z13bias_add_nodePvmS_m %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.tanh(i8*) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z9tanh_nodePvm @_Z9tanh_nodePvm_cloned(i8* in %t1, i64 %bytes_t1) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.tanh(i8* %t1)
+ %returnStruct = insertvalue %struct.out._Z9tanh_nodePvm undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z9tanh_nodePvm %returnStruct, i64 0, 1
+ ret %struct.out._Z9tanh_nodePvm %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.pool.max(i8*, i32, i32, i32, i32, i32, i32) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z13pool_max_nodePvm @_Z13pool_max_nodePvm_cloned(i8* in %t1, i64 %bytes_t1) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.pool.max(i8* %t1, i32 2, i32 2, i32 0, i32 0, i32 2, i32 2)
+ %returnStruct = insertvalue %struct.out._Z13pool_max_nodePvm undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z13pool_max_nodePvm %returnStruct, i64 0, 1
+ ret %struct.out._Z13pool_max_nodePvm %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.createNode(i8*) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.bind.input(i8*, i32, i32, i1) #3
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.createEdge(i8*, i8*, i1, i32, i32, i1) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.bind.output(i8*, i32, i32, i1) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z4rootPvmS_mS_m @_Z4rootPvmS_mS_m_cloned(i8* in %input, i64 %input_bytes, i8* in %conv2d_1_w, i64 %conv2d_1_w_bytes, i8* in %conv2d_1_b, i64 %conv2d_1_b_bytes) #4 {
+entry:
+ %_Z9conv_nodePvmS_m_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z9conv_nodePvmS_m (i8*, i64, i8*, i64)* @_Z9conv_nodePvmS_m_cloned to i8*))
+ call void @llvm.hpvm.bind.input(i8* %_Z9conv_nodePvmS_m_cloned.node, i32 0, i32 0, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z9conv_nodePvmS_m_cloned.node, i32 1, i32 1, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z9conv_nodePvmS_m_cloned.node, i32 2, i32 2, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z9conv_nodePvmS_m_cloned.node, i32 3, i32 3, i1 false)
+ %_Z13bias_add_nodePvmS_m_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z13bias_add_nodePvmS_m (i8*, i64, i8*, i64)* @_Z13bias_add_nodePvmS_m_cloned to i8*))
+ %output = call i8* @llvm.hpvm.createEdge(i8* %_Z9conv_nodePvmS_m_cloned.node, i8* %_Z13bias_add_nodePvmS_m_cloned.node, i1 true, i32 0, i32 0, i1 false)
+ %output1 = call i8* @llvm.hpvm.createEdge(i8* %_Z9conv_nodePvmS_m_cloned.node, i8* %_Z13bias_add_nodePvmS_m_cloned.node, i1 true, i32 1, i32 1, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z13bias_add_nodePvmS_m_cloned.node, i32 4, i32 2, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z13bias_add_nodePvmS_m_cloned.node, i32 5, i32 3, i1 false)
+ %_Z9tanh_nodePvm_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z9tanh_nodePvm (i8*, i64)* @_Z9tanh_nodePvm_cloned to i8*))
+ %output2 = call i8* @llvm.hpvm.createEdge(i8* %_Z13bias_add_nodePvmS_m_cloned.node, i8* %_Z9tanh_nodePvm_cloned.node, i1 true, i32 0, i32 0, i1 false)
+ %output3 = call i8* @llvm.hpvm.createEdge(i8* %_Z13bias_add_nodePvmS_m_cloned.node, i8* %_Z9tanh_nodePvm_cloned.node, i1 true, i32 1, i32 1, i1 false)
+ %_Z13pool_max_nodePvm_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z13pool_max_nodePvm (i8*, i64)* @_Z13pool_max_nodePvm_cloned to i8*))
+ %output4 = call i8* @llvm.hpvm.createEdge(i8* %_Z9tanh_nodePvm_cloned.node, i8* %_Z13pool_max_nodePvm_cloned.node, i1 true, i32 0, i32 0, i1 false)
+ %output5 = call i8* @llvm.hpvm.createEdge(i8* %_Z9tanh_nodePvm_cloned.node, i8* %_Z13pool_max_nodePvm_cloned.node, i1 true, i32 1, i32 1, i1 false)
+ call void @llvm.hpvm.bind.output(i8* %_Z13pool_max_nodePvm_cloned.node, i32 0, i32 0, i1 false)
+ call void @llvm.hpvm.bind.output(i8* %_Z13pool_max_nodePvm_cloned.node, i32 1, i32 1, i1 false)
+ ret %struct.out._Z4rootPvmS_mS_m undef
+}
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.init() #3
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.launch(i8*, i8*, i1) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.wait(i8*) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.cleanup() #3
+
+attributes #0 = { norecurse nounwind uwtable "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "min-legal-vector-width"="0" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-jump-tables"="false" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+attributes #1 = { nofree nounwind "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+attributes #2 = { "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+attributes #3 = { nounwind }
+attributes #4 = { nounwind uwtable "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "min-legal-vector-width"="0" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-jump-tables"="false" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+
+!llvm.module.flags = !{!0}
+!llvm.ident = !{!1}
+!hpvm_hint_promise = !{!2, !3, !4, !5}
+!hpvm_hint_gpu = !{}
+!hpvm_hint_cpu = !{!6}
+!hpvm_hint_cpu_gpu = !{}
+!hpvm_hint_cudnn = !{}
+
+!0 = !{i32 1, !"wchar_size", i32 4}
+!1 = !{!"clang version 9.0.0 (https://gitlab.engr.illinois.edu/llvm/hpvm.git 5ccb2a532b5a0d82cee5c0d29a629a29dec2307c)"}
+!2 = !{%struct.out._Z9conv_nodePvmS_m (i8*, i64, i8*, i64)* @_Z9conv_nodePvmS_m_cloned}
+!3 = !{%struct.out._Z13bias_add_nodePvmS_m (i8*, i64, i8*, i64)* @_Z13bias_add_nodePvmS_m_cloned}
+!4 = !{%struct.out._Z9tanh_nodePvm (i8*, i64)* @_Z9tanh_nodePvm_cloned}
+!5 = !{%struct.out._Z13pool_max_nodePvm (i8*, i64)* @_Z13pool_max_nodePvm_cloned}
+!6 = !{%struct.out._Z4rootPvmS_mS_m (i8*, i64, i8*, i64, i8*, i64)* @_Z4rootPvmS_mS_m_cloned}
+!7 = !{!8, !9, i64 0}
+!8 = !{!"_ZTS6RootIn", !9, i64 0, !12, i64 8, !9, i64 16, !12, i64 24, !9, i64 32, !12, i64 40, !13, i64 48}
+!9 = !{!"any pointer", !10, i64 0}
+!10 = !{!"omnipotent char", !11, i64 0}
+!11 = !{!"Simple C++ TBAA"}
+!12 = !{!"long", !10, i64 0}
+!13 = !{!"_ZTS5ret_t", !9, i64 0, !12, i64 8}
diff --git a/hpvm/test/hpvm_pass/FuseHPVMTensorNodes/fuseConvNoPool.hpvm.ll b/hpvm/test/hpvm_pass/FuseHPVMTensorNodes/fuseConvNoPool.hpvm.ll
new file mode 100644
index 0000000000000000000000000000000000000000..3e521bb5297f6d8087fec1b2e381c06d290f2d0f
--- /dev/null
+++ b/hpvm/test/hpvm_pass/FuseHPVMTensorNodes/fuseConvNoPool.hpvm.ll
@@ -0,0 +1,159 @@
+; RUN: opt -load LLVMBuildDFG.so -load LLVMInPlaceDFGAnalysis.so -load LLVMFuseHPVMTensorNodes.so -S -inplace -hpvm-fuse < %s | FileCheck %s
+; ModuleID = 'fuseConvNoPool.ll'
+source_filename = "fuseConvNoPool.cpp"
+target datalayout = "e-m:e-i64:64-f80:128-n8:16:32:64-S128"
+target triple = "x86_64-unknown-linux-gnu"
+
+
+; CHECK-LABEL: @_Z4rootPvmS_mS_m_cloned(
+; CHECK: call i8* @llvm.hpvm.createNode(
+; CHECK-NEXT: call void @llvm.hpvm.bind.input(
+; CHECK-NEXT: call void @llvm.hpvm.bind.input(
+; CHECK-NEXT: call void @llvm.hpvm.bind.input(
+; CHECK-NEXT: call void @llvm.hpvm.bind.input(
+; CHECK-NEXT: call void @llvm.hpvm.bind.input(
+; CHECK-NEXT: call void @llvm.hpvm.bind.input(
+; CHECK: call void @llvm.hpvm.bind.output(
+; CHECK: call void @llvm.hpvm.bind.output(
+; CHECK: ret
+
+; CHECK-LABEL: @_Z9conv_nodePvmS_m_cloned__Z13bias_add_nodePvmS_m_cloned__Z9relu_nodePvm_cloned(
+; CHECK: call i8* @llvm.hpvm.tensor.convolution(
+; CHECK: call i8* @llvm.hpvm.tensor.add(
+; CHECK: call i8* @llvm.hpvm.tensor.relu(
+; CHECK: ret
+
+
+
+%struct.out._Z9conv_nodePvmS_m = type <{ i8*, i64 }>
+%struct.out._Z13bias_add_nodePvmS_m = type <{ i8*, i64 }>
+%struct.out._Z9relu_nodePvm = type <{ i8*, i64 }>
+%struct.out._Z4rootPvmS_mS_m = type <{ i8*, i64 }>
+
+; Function Attrs: norecurse nounwind uwtable
+define dso_local i32 @main() local_unnamed_addr #0 {
+entry:
+ call void @llvm.hpvm.init()
+ %call = tail call noalias i8* @malloc(i64 64) #3
+ %graphID = call i8* @llvm.hpvm.launch(i8* bitcast (%struct.out._Z4rootPvmS_mS_m (i8*, i64, i8*, i64, i8*, i64)* @_Z4rootPvmS_mS_m_cloned to i8*), i8* %call, i1 false)
+ call void @llvm.hpvm.wait(i8* %graphID)
+ %input = bitcast i8* %call to i8**
+ %0 = load i8*, i8** %input, align 1, !tbaa !6
+ tail call void @hpvm_request_tensor(i8* %0, i32 1) #3
+ call void @llvm.hpvm.cleanup()
+ ret i32 0
+}
+
+; Function Attrs: nofree nounwind
+declare dso_local noalias i8* @malloc(i64) local_unnamed_addr #1
+
+declare dso_local void @hpvm_request_tensor(i8*, i32) local_unnamed_addr #2
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.convolution(i8*, i8*, i32, i32, i32, i32) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z9conv_nodePvmS_m @_Z9conv_nodePvmS_m_cloned(i8* in %t1, i64 %bytes_t1, i8* in %t2, i64 %bytes_t2) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.convolution(i8* %t1, i8* %t2, i32 2, i32 2, i32 1, i32 1)
+ %returnStruct = insertvalue %struct.out._Z9conv_nodePvmS_m undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z9conv_nodePvmS_m %returnStruct, i64 0, 1
+ ret %struct.out._Z9conv_nodePvmS_m %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.add(i8*, i8*) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z13bias_add_nodePvmS_m @_Z13bias_add_nodePvmS_m_cloned(i8* in %t1, i64 %bytes_t1, i8* in %t2, i64 %bytes_t2) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.add(i8* %t1, i8* %t2)
+ %returnStruct = insertvalue %struct.out._Z13bias_add_nodePvmS_m undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z13bias_add_nodePvmS_m %returnStruct, i64 0, 1
+ ret %struct.out._Z13bias_add_nodePvmS_m %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.relu(i8*) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z9relu_nodePvm @_Z9relu_nodePvm_cloned(i8* in %t1, i64 %bytes_t1) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.relu(i8* %t1)
+ %returnStruct = insertvalue %struct.out._Z9relu_nodePvm undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z9relu_nodePvm %returnStruct, i64 0, 1
+ ret %struct.out._Z9relu_nodePvm %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.createNode(i8*) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.bind.input(i8*, i32, i32, i1) #3
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.createEdge(i8*, i8*, i1, i32, i32, i1) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.bind.output(i8*, i32, i32, i1) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z4rootPvmS_mS_m @_Z4rootPvmS_mS_m_cloned(i8* in %input, i64 %input_bytes, i8* in %conv2d_1_w, i64 %conv2d_1_w_bytes, i8* nocapture readnone %conv2d_1_b, i64 %conv2d_1_b_bytes) #4 {
+entry:
+ %_Z9conv_nodePvmS_m_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z9conv_nodePvmS_m (i8*, i64, i8*, i64)* @_Z9conv_nodePvmS_m_cloned to i8*))
+ call void @llvm.hpvm.bind.input(i8* %_Z9conv_nodePvmS_m_cloned.node, i32 0, i32 0, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z9conv_nodePvmS_m_cloned.node, i32 1, i32 1, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z9conv_nodePvmS_m_cloned.node, i32 2, i32 2, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z9conv_nodePvmS_m_cloned.node, i32 3, i32 3, i1 false)
+ %_Z13bias_add_nodePvmS_m_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z13bias_add_nodePvmS_m (i8*, i64, i8*, i64)* @_Z13bias_add_nodePvmS_m_cloned to i8*))
+ %output = call i8* @llvm.hpvm.createEdge(i8* %_Z9conv_nodePvmS_m_cloned.node, i8* %_Z13bias_add_nodePvmS_m_cloned.node, i1 true, i32 0, i32 0, i1 false)
+ %output1 = call i8* @llvm.hpvm.createEdge(i8* %_Z9conv_nodePvmS_m_cloned.node, i8* %_Z13bias_add_nodePvmS_m_cloned.node, i1 true, i32 1, i32 1, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z13bias_add_nodePvmS_m_cloned.node, i32 4, i32 2, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z13bias_add_nodePvmS_m_cloned.node, i32 5, i32 3, i1 false)
+ %_Z9relu_nodePvm_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z9relu_nodePvm (i8*, i64)* @_Z9relu_nodePvm_cloned to i8*))
+ %output2 = call i8* @llvm.hpvm.createEdge(i8* %_Z13bias_add_nodePvmS_m_cloned.node, i8* %_Z9relu_nodePvm_cloned.node, i1 true, i32 0, i32 0, i1 false)
+ %output3 = call i8* @llvm.hpvm.createEdge(i8* %_Z13bias_add_nodePvmS_m_cloned.node, i8* %_Z9relu_nodePvm_cloned.node, i1 true, i32 1, i32 1, i1 false)
+ call void @llvm.hpvm.bind.output(i8* %_Z9relu_nodePvm_cloned.node, i32 0, i32 0, i1 false)
+ call void @llvm.hpvm.bind.output(i8* %_Z9relu_nodePvm_cloned.node, i32 1, i32 1, i1 false)
+ ret %struct.out._Z4rootPvmS_mS_m undef
+}
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.init() #3
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.launch(i8*, i8*, i1) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.wait(i8*) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.cleanup() #3
+
+attributes #0 = { norecurse nounwind uwtable "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "min-legal-vector-width"="0" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-jump-tables"="false" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+attributes #1 = { nofree nounwind "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+attributes #2 = { "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+attributes #3 = { nounwind }
+attributes #4 = { nounwind uwtable "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "min-legal-vector-width"="0" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-jump-tables"="false" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+
+!llvm.module.flags = !{!0}
+!llvm.ident = !{!1}
+!hpvm_hint_promise = !{!2, !3, !4, !5}
+!hpvm_hint_gpu = !{}
+!hpvm_hint_cpu = !{}
+!hpvm_hint_cpu_gpu = !{}
+!hpvm_hint_cudnn = !{}
+
+!0 = !{i32 1, !"wchar_size", i32 4}
+!1 = !{!"clang version 9.0.0 (https://gitlab.engr.illinois.edu/llvm/hpvm.git 5ccb2a532b5a0d82cee5c0d29a629a29dec2307c)"}
+!2 = !{%struct.out._Z9conv_nodePvmS_m (i8*, i64, i8*, i64)* @_Z9conv_nodePvmS_m_cloned}
+!3 = !{%struct.out._Z13bias_add_nodePvmS_m (i8*, i64, i8*, i64)* @_Z13bias_add_nodePvmS_m_cloned}
+!4 = !{%struct.out._Z9relu_nodePvm (i8*, i64)* @_Z9relu_nodePvm_cloned}
+!5 = !{%struct.out._Z4rootPvmS_mS_m (i8*, i64, i8*, i64, i8*, i64)* @_Z4rootPvmS_mS_m_cloned}
+!6 = !{!7, !8, i64 0}
+!7 = !{!"_ZTS6RootIn", !8, i64 0, !11, i64 8, !8, i64 16, !11, i64 24, !8, i64 32, !11, i64 40, !12, i64 48}
+!8 = !{!"any pointer", !9, i64 0}
+!9 = !{!"omnipotent char", !10, i64 0}
+!10 = !{!"Simple C++ TBAA"}
+!11 = !{!"long", !9, i64 0}
+!12 = !{!"_ZTS5ret_t", !8, i64 0, !11, i64 8}
diff --git a/hpvm/test/hpvm_pass/FuseHPVMTensorNodes/fuseDiffTargets.hpvm.ll b/hpvm/test/hpvm_pass/FuseHPVMTensorNodes/fuseDiffTargets.hpvm.ll
new file mode 100644
index 0000000000000000000000000000000000000000..5bdfe023bb6854e85d7f725a32c3920c5edc01d8
--- /dev/null
+++ b/hpvm/test/hpvm_pass/FuseHPVMTensorNodes/fuseDiffTargets.hpvm.ll
@@ -0,0 +1,195 @@
+; RUN: opt -load LLVMBuildDFG.so -load LLVMInPlaceDFGAnalysis.so -load LLVMFuseHPVMTensorNodes.so -S -inplace -hpvm-fuse < %s | FileCheck %s
+; ModuleID = 'fuseDiffTargets.ll'
+source_filename = "fuseDiffTargets.cpp"
+target datalayout = "e-m:e-i64:64-f80:128-n8:16:32:64-S128"
+target triple = "x86_64-unknown-linux-gnu"
+
+%struct.out._Z9conv_nodePvmS_m = type <{ i8*, i64 }>
+%struct.out._Z13bias_add_nodePvmS_m = type <{ i8*, i64 }>
+%struct.out._Z9tanh_nodePvm = type <{ i8*, i64 }>
+%struct.out._Z13pool_max_nodePvm = type <{ i8*, i64 }>
+%struct.out._Z4rootPvmS_mS_m = type <{ i8*, i64 }>
+
+
+; CHECK-LABEL: @_Z9conv_nodePvmS_m_cloned(
+; CHECK: call i8* @llvm.hpvm.tensor.convolution(
+; CHECK: ret
+
+; CHECK-LABEL: @_Z13bias_add_nodePvmS_m_cloned(
+; CHECK: call i8* @llvm.hpvm.tensor.add(
+; CHECK: ret
+
+; CHECK-LABEL: @_Z9tanh_nodePvm_cloned(
+; CHECK: call i8* @llvm.hpvm.tensor.tanh(
+; CHECK: ret
+
+; CHECK-LABEL: @_Z13pool_max_nodePvm_cloned(
+; CHECK: call i8* @llvm.hpvm.tensor.pool.max(
+; CHECK: ret
+
+; CHECK-LABEL: @_Z4rootPvmS_mS_m_cloned(
+; CHECK: call i8* @llvm.hpvm.createNode(
+; CHECK-NEXT: call void @llvm.hpvm.bind.input(
+; CHECK-NEXT: call void @llvm.hpvm.bind.input(
+; CHECK-NEXT: call void @llvm.hpvm.bind.input(
+; CHECK-NEXT: call void @llvm.hpvm.bind.input(
+; CHECK: call i8* @llvm.hpvm.createNode(
+; CHECK-NEXT: call i8* @llvm.hpvm.createEdge(
+; CHECK-NEXT: call i8* @llvm.hpvm.createEdge(
+; CHECK-NEXT: call void @llvm.hpvm.bind.input(
+; CHECK-NEXT: call void @llvm.hpvm.bind.input(
+; CHECK: call i8* @llvm.hpvm.createNode(
+; CHECK-NEXT: call i8* @llvm.hpvm.createEdge(
+; CHECK-NEXT: call i8* @llvm.hpvm.createEdge(
+; CHECK: call i8* @llvm.hpvm.createNode(
+; CHECK-NEXT: call i8* @llvm.hpvm.createEdge(
+; CHECK-NEXT: call i8* @llvm.hpvm.createEdge(
+; CHECK: call void @llvm.hpvm.bind.output(
+; CHECK: call void @llvm.hpvm.bind.output(
+; CHECK: ret
+
+
+
+; Function Attrs: norecurse nounwind uwtable
+define dso_local i32 @main() local_unnamed_addr #0 {
+entry:
+ call void @llvm.hpvm.init()
+ %call = tail call noalias i8* @malloc(i64 64) #3
+ %graphID = call i8* @llvm.hpvm.launch(i8* bitcast (%struct.out._Z4rootPvmS_mS_m (i8*, i64, i8*, i64, i8*, i64)* @_Z4rootPvmS_mS_m_cloned to i8*), i8* %call, i1 false)
+ call void @llvm.hpvm.wait(i8* %graphID)
+ %input = bitcast i8* %call to i8**
+ %0 = load i8*, i8** %input, align 1, !tbaa !7
+ tail call void @hpvm_request_tensor(i8* %0, i32 1) #3
+ call void @llvm.hpvm.cleanup()
+ ret i32 0
+}
+
+; Function Attrs: nofree nounwind
+declare dso_local noalias i8* @malloc(i64) local_unnamed_addr #1
+
+declare dso_local void @hpvm_request_tensor(i8*, i32) local_unnamed_addr #2
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.convolution(i8*, i8*, i32, i32, i32, i32) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z9conv_nodePvmS_m @_Z9conv_nodePvmS_m_cloned(i8* in %t1, i64 %bytes_t1, i8* in %t2, i64 %bytes_t2) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.convolution(i8* %t1, i8* %t2, i32 2, i32 2, i32 1, i32 1)
+ %returnStruct = insertvalue %struct.out._Z9conv_nodePvmS_m undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z9conv_nodePvmS_m %returnStruct, i64 0, 1
+ ret %struct.out._Z9conv_nodePvmS_m %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.add(i8*, i8*) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z13bias_add_nodePvmS_m @_Z13bias_add_nodePvmS_m_cloned(i8* in %t1, i64 %bytes_t1, i8* in %t2, i64 %bytes_t2) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.add(i8* %t1, i8* %t2)
+ %returnStruct = insertvalue %struct.out._Z13bias_add_nodePvmS_m undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z13bias_add_nodePvmS_m %returnStruct, i64 0, 1
+ ret %struct.out._Z13bias_add_nodePvmS_m %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.tanh(i8*) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z9tanh_nodePvm @_Z9tanh_nodePvm_cloned(i8* in %t1, i64 %bytes_t1) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.tanh(i8* %t1)
+ %returnStruct = insertvalue %struct.out._Z9tanh_nodePvm undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z9tanh_nodePvm %returnStruct, i64 0, 1
+ ret %struct.out._Z9tanh_nodePvm %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.pool.max(i8*, i32, i32, i32, i32, i32, i32) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z13pool_max_nodePvm @_Z13pool_max_nodePvm_cloned(i8* in %t1, i64 %bytes_t1) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.pool.max(i8* %t1, i32 2, i32 2, i32 0, i32 0, i32 2, i32 2)
+ %returnStruct = insertvalue %struct.out._Z13pool_max_nodePvm undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z13pool_max_nodePvm %returnStruct, i64 0, 1
+ ret %struct.out._Z13pool_max_nodePvm %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.createNode(i8*) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.bind.input(i8*, i32, i32, i1) #3
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.createEdge(i8*, i8*, i1, i32, i32, i1) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.bind.output(i8*, i32, i32, i1) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z4rootPvmS_mS_m @_Z4rootPvmS_mS_m_cloned(i8* in %input, i64 %input_bytes, i8* in %conv2d_1_w, i64 %conv2d_1_w_bytes, i8* in %conv2d_1_b, i64 %conv2d_1_b_bytes) #4 {
+entry:
+ %_Z9conv_nodePvmS_m_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z9conv_nodePvmS_m (i8*, i64, i8*, i64)* @_Z9conv_nodePvmS_m_cloned to i8*))
+ call void @llvm.hpvm.bind.input(i8* %_Z9conv_nodePvmS_m_cloned.node, i32 0, i32 0, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z9conv_nodePvmS_m_cloned.node, i32 1, i32 1, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z9conv_nodePvmS_m_cloned.node, i32 2, i32 2, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z9conv_nodePvmS_m_cloned.node, i32 3, i32 3, i1 false)
+ %_Z13bias_add_nodePvmS_m_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z13bias_add_nodePvmS_m (i8*, i64, i8*, i64)* @_Z13bias_add_nodePvmS_m_cloned to i8*))
+ %output = call i8* @llvm.hpvm.createEdge(i8* %_Z9conv_nodePvmS_m_cloned.node, i8* %_Z13bias_add_nodePvmS_m_cloned.node, i1 true, i32 0, i32 0, i1 false)
+ %output1 = call i8* @llvm.hpvm.createEdge(i8* %_Z9conv_nodePvmS_m_cloned.node, i8* %_Z13bias_add_nodePvmS_m_cloned.node, i1 true, i32 1, i32 1, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z13bias_add_nodePvmS_m_cloned.node, i32 4, i32 2, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z13bias_add_nodePvmS_m_cloned.node, i32 5, i32 3, i1 false)
+ %_Z9tanh_nodePvm_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z9tanh_nodePvm (i8*, i64)* @_Z9tanh_nodePvm_cloned to i8*))
+ %output2 = call i8* @llvm.hpvm.createEdge(i8* %_Z13bias_add_nodePvmS_m_cloned.node, i8* %_Z9tanh_nodePvm_cloned.node, i1 true, i32 0, i32 0, i1 false)
+ %output3 = call i8* @llvm.hpvm.createEdge(i8* %_Z13bias_add_nodePvmS_m_cloned.node, i8* %_Z9tanh_nodePvm_cloned.node, i1 true, i32 1, i32 1, i1 false)
+ %_Z13pool_max_nodePvm_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z13pool_max_nodePvm (i8*, i64)* @_Z13pool_max_nodePvm_cloned to i8*))
+ %output4 = call i8* @llvm.hpvm.createEdge(i8* %_Z9tanh_nodePvm_cloned.node, i8* %_Z13pool_max_nodePvm_cloned.node, i1 true, i32 0, i32 0, i1 false)
+ %output5 = call i8* @llvm.hpvm.createEdge(i8* %_Z9tanh_nodePvm_cloned.node, i8* %_Z13pool_max_nodePvm_cloned.node, i1 true, i32 1, i32 1, i1 false)
+ call void @llvm.hpvm.bind.output(i8* %_Z13pool_max_nodePvm_cloned.node, i32 0, i32 0, i1 false)
+ call void @llvm.hpvm.bind.output(i8* %_Z13pool_max_nodePvm_cloned.node, i32 1, i32 1, i1 false)
+ ret %struct.out._Z4rootPvmS_mS_m undef
+}
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.init() #3
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.launch(i8*, i8*, i1) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.wait(i8*) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.cleanup() #3
+
+attributes #0 = { norecurse nounwind uwtable "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "min-legal-vector-width"="0" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-jump-tables"="false" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+attributes #1 = { nofree nounwind "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+attributes #2 = { "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+attributes #3 = { nounwind }
+attributes #4 = { nounwind uwtable "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "min-legal-vector-width"="0" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-jump-tables"="false" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+
+!llvm.module.flags = !{!0}
+!llvm.ident = !{!1}
+!hpvm_hint_gpu = !{!2, !3, !4}
+!hpvm_hint_cpu = !{!5, !6}
+!hpvm_hint_cpu_gpu = !{}
+!hpvm_hint_cudnn = !{}
+!hpvm_hint_promise = !{}
+
+!0 = !{i32 1, !"wchar_size", i32 4}
+!1 = !{!"clang version 9.0.0 (https://gitlab.engr.illinois.edu/llvm/hpvm.git 5ccb2a532b5a0d82cee5c0d29a629a29dec2307c)"}
+!2 = !{%struct.out._Z9conv_nodePvmS_m (i8*, i64, i8*, i64)* @_Z9conv_nodePvmS_m_cloned}
+!3 = !{%struct.out._Z9tanh_nodePvm (i8*, i64)* @_Z9tanh_nodePvm_cloned}
+!4 = !{%struct.out._Z13pool_max_nodePvm (i8*, i64)* @_Z13pool_max_nodePvm_cloned}
+!5 = !{%struct.out._Z13bias_add_nodePvmS_m (i8*, i64, i8*, i64)* @_Z13bias_add_nodePvmS_m_cloned}
+!6 = !{%struct.out._Z4rootPvmS_mS_m (i8*, i64, i8*, i64, i8*, i64)* @_Z4rootPvmS_mS_m_cloned}
+!7 = !{!8, !9, i64 0}
+!8 = !{!"_ZTS6RootIn", !9, i64 0, !12, i64 8, !9, i64 16, !12, i64 24, !9, i64 32, !12, i64 40, !13, i64 48}
+!9 = !{!"any pointer", !10, i64 0}
+!10 = !{!"omnipotent char", !11, i64 0}
+!11 = !{!"Simple C++ TBAA"}
+!12 = !{!"long", !10, i64 0}
+!13 = !{!"_ZTS5ret_t", !9, i64 0, !12, i64 8}
diff --git a/hpvm/test/hpvm_pass/FuseHPVMTensorNodes/fuseMatMul.hpvm.ll b/hpvm/test/hpvm_pass/FuseHPVMTensorNodes/fuseMatMul.hpvm.ll
new file mode 100644
index 0000000000000000000000000000000000000000..e888631a3027a4cb30468ffca223e3429caa772f
--- /dev/null
+++ b/hpvm/test/hpvm_pass/FuseHPVMTensorNodes/fuseMatMul.hpvm.ll
@@ -0,0 +1,187 @@
+; RUN: opt -load LLVMBuildDFG.so -load LLVMInPlaceDFGAnalysis.so -load LLVMFuseHPVMTensorNodes.so -S -inplace -hpvm-fuse < %s | FileCheck %s
+; ModuleID = 'fuseMatMul.ll'
+source_filename = "fuseMatMul.cpp"
+target datalayout = "e-m:e-i64:64-f80:128-n8:16:32:64-S128"
+target triple = "x86_64-unknown-linux-gnu"
+
+%struct.out._Z11matmul_nodePvmS_m = type <{ i8*, i64 }>
+%struct.out._Z13bias_add_nodePvmS_m = type <{ i8*, i64 }>
+%struct.out._Z9tanh_nodePvm = type <{ i8*, i64 }>
+%struct.out._Z13pool_max_nodePvm = type <{ i8*, i64 }>
+%struct.out._Z4rootPvmS_mS_m = type <{ i8*, i64 }>
+
+; CHECK-LABEL: @_Z13pool_max_nodePvm_cloned(
+; CHECK: call i8* @llvm.hpvm.tensor.pool.max(
+; CHECK: ret
+
+
+; CHECK-LABEL: @_Z4rootPvmS_mS_m_cloned(
+; CHECK: call i8* @llvm.hpvm.createNode(
+; CHECK-NEXT: call void @llvm.hpvm.bind.input(
+; CHECK-NEXT: call void @llvm.hpvm.bind.input(
+; CHECK-NEXT: call void @llvm.hpvm.bind.input(
+; CHECK-NEXT: call void @llvm.hpvm.bind.input(
+; CHECK-NEXT: call void @llvm.hpvm.bind.input(
+; CHECK-NEXT: call void @llvm.hpvm.bind.input(
+; CHECK: call i8* @llvm.hpvm.createNode(
+; CHECK-NEXT: call i8* @llvm.hpvm.createEdge(
+; CHECK-NEXT: call i8* @llvm.hpvm.createEdge(
+; CHECK: call void @llvm.hpvm.bind.output(
+; CHECK: call void @llvm.hpvm.bind.output(
+; CHECK: ret
+
+
+; CHECK-LABEL: @_Z11matmul_nodePvmS_m_cloned__Z13bias_add_nodePvmS_m_cloned__Z9tanh_nodePvm_cloned(
+; CHECK: call i8* @llvm.hpvm.tensor.mul(
+; CHECK: call i8* @llvm.hpvm.tensor.add(
+; CHECK: call i8* @llvm.hpvm.tensor.tanh(
+; CHECK-NOT: call i8* @llvm.hpvm.tensor.pool.max(
+; CHECK: ret
+
+
+
+
+
+; Function Attrs: norecurse nounwind uwtable
+define dso_local i32 @main() local_unnamed_addr #0 {
+entry:
+ call void @llvm.hpvm.init()
+ %call = tail call noalias i8* @malloc(i64 64) #3
+ %graphID = call i8* @llvm.hpvm.launch(i8* bitcast (%struct.out._Z4rootPvmS_mS_m (i8*, i64, i8*, i64, i8*, i64)* @_Z4rootPvmS_mS_m_cloned to i8*), i8* %call, i1 false)
+ call void @llvm.hpvm.wait(i8* %graphID)
+ %input = bitcast i8* %call to i8**
+ %0 = load i8*, i8** %input, align 1, !tbaa !7
+ tail call void @hpvm_request_tensor(i8* %0, i32 1) #3
+ call void @llvm.hpvm.cleanup()
+ ret i32 0
+}
+
+; Function Attrs: nofree nounwind
+declare dso_local noalias i8* @malloc(i64) local_unnamed_addr #1
+
+declare dso_local void @hpvm_request_tensor(i8*, i32) local_unnamed_addr #2
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.mul(i8*, i8*) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z11matmul_nodePvmS_m @_Z11matmul_nodePvmS_m_cloned(i8* in %t1, i64 %bytes_t1, i8* in %t2, i64 %bytes_t2) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.mul(i8* %t1, i8* %t2)
+ %returnStruct = insertvalue %struct.out._Z11matmul_nodePvmS_m undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z11matmul_nodePvmS_m %returnStruct, i64 0, 1
+ ret %struct.out._Z11matmul_nodePvmS_m %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.add(i8*, i8*) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z13bias_add_nodePvmS_m @_Z13bias_add_nodePvmS_m_cloned(i8* in %t1, i64 %bytes_t1, i8* in %t2, i64 %bytes_t2) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.add(i8* %t1, i8* %t2)
+ %returnStruct = insertvalue %struct.out._Z13bias_add_nodePvmS_m undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z13bias_add_nodePvmS_m %returnStruct, i64 0, 1
+ ret %struct.out._Z13bias_add_nodePvmS_m %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.tanh(i8*) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z9tanh_nodePvm @_Z9tanh_nodePvm_cloned(i8* in %t1, i64 %bytes_t1) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.tanh(i8* %t1)
+ %returnStruct = insertvalue %struct.out._Z9tanh_nodePvm undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z9tanh_nodePvm %returnStruct, i64 0, 1
+ ret %struct.out._Z9tanh_nodePvm %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.pool.max(i8*, i32, i32, i32, i32, i32, i32) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z13pool_max_nodePvm @_Z13pool_max_nodePvm_cloned(i8* in %t1, i64 %bytes_t1) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.pool.max(i8* %t1, i32 2, i32 2, i32 0, i32 0, i32 2, i32 2)
+ %returnStruct = insertvalue %struct.out._Z13pool_max_nodePvm undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z13pool_max_nodePvm %returnStruct, i64 0, 1
+ ret %struct.out._Z13pool_max_nodePvm %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.createNode(i8*) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.bind.input(i8*, i32, i32, i1) #3
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.createEdge(i8*, i8*, i1, i32, i32, i1) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.bind.output(i8*, i32, i32, i1) #3
+
+; Function Attrs: nounwind uwtable
+define dso_local %struct.out._Z4rootPvmS_mS_m @_Z4rootPvmS_mS_m_cloned(i8* in %input, i64 %input_bytes, i8* in %matmul2d_1_w, i64 %matmul2d_1_w_bytes, i8* in %matmul2d_1_b, i64 %matmul2d_1_b_bytes) #4 {
+entry:
+ %_Z11matmul_nodePvmS_m_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z11matmul_nodePvmS_m (i8*, i64, i8*, i64)* @_Z11matmul_nodePvmS_m_cloned to i8*))
+ call void @llvm.hpvm.bind.input(i8* %_Z11matmul_nodePvmS_m_cloned.node, i32 0, i32 0, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z11matmul_nodePvmS_m_cloned.node, i32 1, i32 1, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z11matmul_nodePvmS_m_cloned.node, i32 2, i32 2, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z11matmul_nodePvmS_m_cloned.node, i32 3, i32 3, i1 false)
+ %_Z13bias_add_nodePvmS_m_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z13bias_add_nodePvmS_m (i8*, i64, i8*, i64)* @_Z13bias_add_nodePvmS_m_cloned to i8*))
+ %output = call i8* @llvm.hpvm.createEdge(i8* %_Z11matmul_nodePvmS_m_cloned.node, i8* %_Z13bias_add_nodePvmS_m_cloned.node, i1 true, i32 0, i32 0, i1 false)
+ %output1 = call i8* @llvm.hpvm.createEdge(i8* %_Z11matmul_nodePvmS_m_cloned.node, i8* %_Z13bias_add_nodePvmS_m_cloned.node, i1 true, i32 1, i32 1, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z13bias_add_nodePvmS_m_cloned.node, i32 4, i32 2, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z13bias_add_nodePvmS_m_cloned.node, i32 5, i32 3, i1 false)
+ %_Z9tanh_nodePvm_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z9tanh_nodePvm (i8*, i64)* @_Z9tanh_nodePvm_cloned to i8*))
+ %output2 = call i8* @llvm.hpvm.createEdge(i8* %_Z13bias_add_nodePvmS_m_cloned.node, i8* %_Z9tanh_nodePvm_cloned.node, i1 true, i32 0, i32 0, i1 false)
+ %output3 = call i8* @llvm.hpvm.createEdge(i8* %_Z13bias_add_nodePvmS_m_cloned.node, i8* %_Z9tanh_nodePvm_cloned.node, i1 true, i32 1, i32 1, i1 false)
+ %_Z13pool_max_nodePvm_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z13pool_max_nodePvm (i8*, i64)* @_Z13pool_max_nodePvm_cloned to i8*))
+ %output4 = call i8* @llvm.hpvm.createEdge(i8* %_Z9tanh_nodePvm_cloned.node, i8* %_Z13pool_max_nodePvm_cloned.node, i1 true, i32 0, i32 0, i1 false)
+ %output5 = call i8* @llvm.hpvm.createEdge(i8* %_Z9tanh_nodePvm_cloned.node, i8* %_Z13pool_max_nodePvm_cloned.node, i1 true, i32 1, i32 1, i1 false)
+ call void @llvm.hpvm.bind.output(i8* %_Z13pool_max_nodePvm_cloned.node, i32 0, i32 0, i1 false)
+ call void @llvm.hpvm.bind.output(i8* %_Z13pool_max_nodePvm_cloned.node, i32 1, i32 1, i1 false)
+ ret %struct.out._Z4rootPvmS_mS_m undef
+}
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.init() #3
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.launch(i8*, i8*, i1) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.wait(i8*) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.cleanup() #3
+
+attributes #0 = { norecurse nounwind uwtable "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "min-legal-vector-width"="0" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-jump-tables"="false" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+attributes #1 = { nofree nounwind "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+attributes #2 = { "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+attributes #3 = { nounwind }
+attributes #4 = { nounwind uwtable "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "min-legal-vector-width"="0" "no-frame-pointer-elim"="false" "no-infs-fp-math"="true" "no-jump-tables"="false" "no-nans-fp-math"="true" "no-signed-zeros-fp-math"="true" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="true" "use-soft-float"="false" }
+
+!llvm.module.flags = !{!0}
+!llvm.ident = !{!1}
+!hpvm_hint_promise = !{!2, !3, !4, !5, !6}
+!hpvm_hint_gpu = !{}
+!hpvm_hint_cpu = !{}
+!hpvm_hint_cpu_gpu = !{}
+!hpvm_hint_cudnn = !{}
+
+!0 = !{i32 1, !"wchar_size", i32 4}
+!1 = !{!"clang version 9.0.0 (https://gitlab.engr.illinois.edu/llvm/hpvm.git 5ccb2a532b5a0d82cee5c0d29a629a29dec2307c)"}
+!2 = !{%struct.out._Z11matmul_nodePvmS_m (i8*, i64, i8*, i64)* @_Z11matmul_nodePvmS_m_cloned}
+!3 = !{%struct.out._Z13bias_add_nodePvmS_m (i8*, i64, i8*, i64)* @_Z13bias_add_nodePvmS_m_cloned}
+!4 = !{%struct.out._Z9tanh_nodePvm (i8*, i64)* @_Z9tanh_nodePvm_cloned}
+!5 = !{%struct.out._Z13pool_max_nodePvm (i8*, i64)* @_Z13pool_max_nodePvm_cloned}
+!6 = !{%struct.out._Z4rootPvmS_mS_m (i8*, i64, i8*, i64, i8*, i64)* @_Z4rootPvmS_mS_m_cloned}
+!7 = !{!8, !9, i64 0}
+!8 = !{!"_ZTS6RootIn", !9, i64 0, !12, i64 8, !9, i64 16, !12, i64 24, !9, i64 32, !12, i64 40, !13, i64 48}
+!9 = !{!"any pointer", !10, i64 0}
+!10 = !{!"omnipotent char", !11, i64 0}
+!11 = !{!"Simple C++ TBAA"}
+!12 = !{!"long", !10, i64 0}
+!13 = !{!"_ZTS5ret_t", !9, i64 0, !12, i64 8}
diff --git a/hpvm/test/hpvm_pass/FuseHPVMTensorNodes/multiLaunch.hpvm.ll b/hpvm/test/hpvm_pass/FuseHPVMTensorNodes/multiLaunch.hpvm.ll
new file mode 100644
index 0000000000000000000000000000000000000000..6c40d752cc71b5bec7931257e5e431041073668e
--- /dev/null
+++ b/hpvm/test/hpvm_pass/FuseHPVMTensorNodes/multiLaunch.hpvm.ll
@@ -0,0 +1,184 @@
+; RUN: opt -load LLVMBuildDFG.so -load LLVMInPlaceDFGAnalysis.so -load LLVMFuseHPVMTensorNodes.so -S -inplace -hpvm-fuse < %s | FileCheck %s
+; ModuleID = 'multiLaunch.ll'
+source_filename = "multiLaunch.cpp"
+target datalayout = "e-m:e-i64:64-f80:128-n8:16:32:64-S128"
+target triple = "x86_64-unknown-linux-gnu"
+
+%struct.out._Z9conv_nodePvmS_m = type <{ i8*, i64 }>
+%struct.out._Z13bias_add_nodePvmS_m = type <{ i8*, i64 }>
+%struct.out._Z9tanh_nodePvm = type <{ i8*, i64 }>
+%struct.out._Z13pool_max_nodePvm = type <{ i8*, i64 }>
+%struct.out._Z4rootPvmS_mS_m = type <{ i8*, i64 }>
+
+
+; CHECK-LABEL: @_Z4rootPvmS_mS_m_cloned(
+; CHECK: call i8* @llvm.hpvm.createNode(
+; CHECK-NEXT: call void @llvm.hpvm.bind.input(
+; CHECK-NEXT: call void @llvm.hpvm.bind.input(
+; CHECK-NEXT: call void @llvm.hpvm.bind.input(
+; CHECK-NEXT: call void @llvm.hpvm.bind.input(
+; CHECK-NEXT: call void @llvm.hpvm.bind.input(
+; CHECK-NEXT: call void @llvm.hpvm.bind.input(
+; CHECK: call void @llvm.hpvm.bind.output(
+; CHECK: call void @llvm.hpvm.bind.output(
+; CHECK: ret
+
+
+; CHECK-LABEL: @_Z9conv_nodePvmS_m_cloned__Z13bias_add_nodePvmS_m_cloned__Z9tanh_nodePvm_cloned__Z13pool_max_nodePvm_cloned(
+; CHECK: call i8* @llvm.hpvm.tensor.convolution(
+; CHECK-NEXT: call i8* @llvm.hpvm.tensor.add(
+; CHECK-NEXT: call i8* @llvm.hpvm.tensor.tanh(
+; CHECK-NEXT: call i8* @llvm.hpvm.tensor.pool.max(
+; CHECK: ret
+
+
+
+; Function Attrs: norecurse uwtable
+define dso_local i32 @main() local_unnamed_addr #0 {
+entry:
+ call void @llvm.hpvm.init()
+ %call = tail call noalias i8* @malloc(i64 64) #3
+ %call1 = tail call noalias i8* @malloc(i64 64) #3
+ %graphID = call i8* @llvm.hpvm.launch(i8* bitcast (%struct.out._Z4rootPvmS_mS_m (i8*, i64, i8*, i64, i8*, i64)* @_Z4rootPvmS_mS_m_cloned to i8*), i8* %call, i1 false)
+ call void @llvm.hpvm.wait(i8* %graphID)
+ %input = bitcast i8* %call to i8**
+ %0 = load i8*, i8** %input, align 1, !tbaa !7
+ tail call void @hpvm_request_tensor(i8* %0, i32 1)
+ %graphID1 = call i8* @llvm.hpvm.launch(i8* bitcast (%struct.out._Z4rootPvmS_mS_m (i8*, i64, i8*, i64, i8*, i64)* @_Z4rootPvmS_mS_m_cloned to i8*), i8* %call1, i1 false)
+ call void @llvm.hpvm.wait(i8* %graphID1)
+ %input4 = bitcast i8* %call1 to i8**
+ %1 = load i8*, i8** %input4, align 1, !tbaa !7
+ tail call void @hpvm_request_tensor(i8* %1, i32 1)
+ call void @llvm.hpvm.cleanup()
+ ret i32 0
+}
+
+; Function Attrs: nofree nounwind
+declare dso_local noalias i8* @malloc(i64) local_unnamed_addr #1
+
+declare dso_local void @hpvm_request_tensor(i8*, i32) local_unnamed_addr #2
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.convolution(i8*, i8*, i32, i32, i32, i32) #3
+
+; Function Attrs: uwtable
+define dso_local %struct.out._Z9conv_nodePvmS_m @_Z9conv_nodePvmS_m_cloned(i8* in %t1, i64 %bytes_t1, i8* in %t2, i64 %bytes_t2) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.convolution(i8* %t1, i8* %t2, i32 2, i32 2, i32 1, i32 1)
+ %returnStruct = insertvalue %struct.out._Z9conv_nodePvmS_m undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z9conv_nodePvmS_m %returnStruct, i64 0, 1
+ ret %struct.out._Z9conv_nodePvmS_m %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.add(i8*, i8*) #3
+
+; Function Attrs: uwtable
+define dso_local %struct.out._Z13bias_add_nodePvmS_m @_Z13bias_add_nodePvmS_m_cloned(i8* in %t1, i64 %bytes_t1, i8* in %t2, i64 %bytes_t2) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.add(i8* %t1, i8* %t2)
+ %returnStruct = insertvalue %struct.out._Z13bias_add_nodePvmS_m undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z13bias_add_nodePvmS_m %returnStruct, i64 0, 1
+ ret %struct.out._Z13bias_add_nodePvmS_m %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.tanh(i8*) #3
+
+; Function Attrs: uwtable
+define dso_local %struct.out._Z9tanh_nodePvm @_Z9tanh_nodePvm_cloned(i8* in %t1, i64 %bytes_t1) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.tanh(i8* %t1)
+ %returnStruct = insertvalue %struct.out._Z9tanh_nodePvm undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z9tanh_nodePvm %returnStruct, i64 0, 1
+ ret %struct.out._Z9tanh_nodePvm %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.tensor.pool.max(i8*, i32, i32, i32, i32, i32, i32) #3
+
+; Function Attrs: uwtable
+define dso_local %struct.out._Z13pool_max_nodePvm @_Z13pool_max_nodePvm_cloned(i8* in %t1, i64 %bytes_t1) #4 {
+entry:
+ %call1 = call i8* @llvm.hpvm.tensor.pool.max(i8* %t1, i32 2, i32 2, i32 0, i32 0, i32 2, i32 2)
+ %returnStruct = insertvalue %struct.out._Z13pool_max_nodePvm undef, i8* %call1, 0
+ %returnStruct2 = insertvalue %struct.out._Z13pool_max_nodePvm %returnStruct, i64 0, 1
+ ret %struct.out._Z13pool_max_nodePvm %returnStruct2
+}
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.createNode(i8*) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.bind.input(i8*, i32, i32, i1) #3
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.createEdge(i8*, i8*, i1, i32, i32, i1) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.bind.output(i8*, i32, i32, i1) #3
+
+; Function Attrs: uwtable
+define dso_local %struct.out._Z4rootPvmS_mS_m @_Z4rootPvmS_mS_m_cloned(i8* in %input, i64 %input_bytes, i8* in %conv2d_1_w, i64 %conv2d_1_w_bytes, i8* in %conv2d_1_b, i64 %conv2d_1_b_bytes) #4 {
+entry:
+ %_Z9conv_nodePvmS_m_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z9conv_nodePvmS_m (i8*, i64, i8*, i64)* @_Z9conv_nodePvmS_m_cloned to i8*))
+ call void @llvm.hpvm.bind.input(i8* %_Z9conv_nodePvmS_m_cloned.node, i32 0, i32 0, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z9conv_nodePvmS_m_cloned.node, i32 1, i32 1, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z9conv_nodePvmS_m_cloned.node, i32 2, i32 2, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z9conv_nodePvmS_m_cloned.node, i32 3, i32 3, i1 false)
+ %_Z13bias_add_nodePvmS_m_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z13bias_add_nodePvmS_m (i8*, i64, i8*, i64)* @_Z13bias_add_nodePvmS_m_cloned to i8*))
+ %output = call i8* @llvm.hpvm.createEdge(i8* %_Z9conv_nodePvmS_m_cloned.node, i8* %_Z13bias_add_nodePvmS_m_cloned.node, i1 true, i32 0, i32 0, i1 false)
+ %output1 = call i8* @llvm.hpvm.createEdge(i8* %_Z9conv_nodePvmS_m_cloned.node, i8* %_Z13bias_add_nodePvmS_m_cloned.node, i1 true, i32 1, i32 1, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z13bias_add_nodePvmS_m_cloned.node, i32 4, i32 2, i1 false)
+ call void @llvm.hpvm.bind.input(i8* %_Z13bias_add_nodePvmS_m_cloned.node, i32 5, i32 3, i1 false)
+ %_Z9tanh_nodePvm_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z9tanh_nodePvm (i8*, i64)* @_Z9tanh_nodePvm_cloned to i8*))
+ %output2 = call i8* @llvm.hpvm.createEdge(i8* %_Z13bias_add_nodePvmS_m_cloned.node, i8* %_Z9tanh_nodePvm_cloned.node, i1 true, i32 0, i32 0, i1 false)
+ %output3 = call i8* @llvm.hpvm.createEdge(i8* %_Z13bias_add_nodePvmS_m_cloned.node, i8* %_Z9tanh_nodePvm_cloned.node, i1 true, i32 1, i32 1, i1 false)
+ %_Z13pool_max_nodePvm_cloned.node = call i8* @llvm.hpvm.createNode(i8* bitcast (%struct.out._Z13pool_max_nodePvm (i8*, i64)* @_Z13pool_max_nodePvm_cloned to i8*))
+ %output4 = call i8* @llvm.hpvm.createEdge(i8* %_Z9tanh_nodePvm_cloned.node, i8* %_Z13pool_max_nodePvm_cloned.node, i1 true, i32 0, i32 0, i1 false)
+ %output5 = call i8* @llvm.hpvm.createEdge(i8* %_Z9tanh_nodePvm_cloned.node, i8* %_Z13pool_max_nodePvm_cloned.node, i1 true, i32 1, i32 1, i1 false)
+ call void @llvm.hpvm.bind.output(i8* %_Z13pool_max_nodePvm_cloned.node, i32 0, i32 0, i1 false)
+ call void @llvm.hpvm.bind.output(i8* %_Z13pool_max_nodePvm_cloned.node, i32 1, i32 1, i1 false)
+ ret %struct.out._Z4rootPvmS_mS_m undef
+}
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.init() #3
+
+; Function Attrs: nounwind
+declare i8* @llvm.hpvm.launch(i8*, i8*, i1) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.wait(i8*) #3
+
+; Function Attrs: nounwind
+declare void @llvm.hpvm.cleanup() #3
+
+attributes #0 = { norecurse uwtable "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "min-legal-vector-width"="0" "no-frame-pointer-elim"="false" "no-infs-fp-math"="false" "no-jump-tables"="false" "no-nans-fp-math"="false" "no-signed-zeros-fp-math"="false" "no-trapping-math"="false" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="false" "use-soft-float"="false" }
+attributes #1 = { nofree nounwind "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "no-frame-pointer-elim"="false" "no-infs-fp-math"="false" "no-nans-fp-math"="false" "no-signed-zeros-fp-math"="false" "no-trapping-math"="false" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="false" "use-soft-float"="false" }
+attributes #2 = { "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "no-frame-pointer-elim"="false" "no-infs-fp-math"="false" "no-nans-fp-math"="false" "no-signed-zeros-fp-math"="false" "no-trapping-math"="false" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="false" "use-soft-float"="false" }
+attributes #3 = { nounwind }
+attributes #4 = { uwtable "correctly-rounded-divide-sqrt-fp-math"="false" "disable-tail-calls"="false" "less-precise-fpmad"="false" "min-legal-vector-width"="0" "no-frame-pointer-elim"="false" "no-infs-fp-math"="false" "no-jump-tables"="false" "no-nans-fp-math"="false" "no-signed-zeros-fp-math"="false" "no-trapping-math"="false" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "unsafe-fp-math"="false" "use-soft-float"="false" }
+
+!llvm.module.flags = !{!0}
+!llvm.ident = !{!1}
+!hpvm_hint_promise = !{!2, !3, !4, !5, !6}
+!hpvm_hint_gpu = !{}
+!hpvm_hint_cpu = !{}
+!hpvm_hint_cpu_gpu = !{}
+!hpvm_hint_cudnn = !{}
+
+!0 = !{i32 1, !"wchar_size", i32 4}
+!1 = !{!"clang version 9.0.0 (https://gitlab.engr.illinois.edu/llvm/hpvm.git 0bba65ccd19f0ff92a84eaadbc0450fa7a0f0ccc)"}
+!2 = !{%struct.out._Z9conv_nodePvmS_m (i8*, i64, i8*, i64)* @_Z9conv_nodePvmS_m_cloned}
+!3 = !{%struct.out._Z13bias_add_nodePvmS_m (i8*, i64, i8*, i64)* @_Z13bias_add_nodePvmS_m_cloned}
+!4 = !{%struct.out._Z9tanh_nodePvm (i8*, i64)* @_Z9tanh_nodePvm_cloned}
+!5 = !{%struct.out._Z13pool_max_nodePvm (i8*, i64)* @_Z13pool_max_nodePvm_cloned}
+!6 = !{%struct.out._Z4rootPvmS_mS_m (i8*, i64, i8*, i64, i8*, i64)* @_Z4rootPvmS_mS_m_cloned}
+!7 = !{!8, !9, i64 0}
+!8 = !{!"_ZTS6RootIn", !9, i64 0, !12, i64 8, !9, i64 16, !12, i64 24, !9, i64 32, !12, i64 40, !13, i64 48}
+!9 = !{!"any pointer", !10, i64 0}
+!10 = !{!"omnipotent char", !11, i64 0}
+!11 = !{!"Simple C++ TBAA"}
+!12 = !{!"long", !10, i64 0}
+!13 = !{!"_ZTS5ret_t", !9, i64 0, !12, i64 8}
diff --git a/hpvm/test/regressionTests/GenHPVM/AllocationNode.ll b/hpvm/test/hpvm_pass/GenHPVM/AllocationNode.ll
similarity index 100%
rename from hpvm/test/regressionTests/GenHPVM/AllocationNode.ll
rename to hpvm/test/hpvm_pass/GenHPVM/AllocationNode.ll
diff --git a/hpvm/test/regressionTests/GenHPVM/CreateNode.ll b/hpvm/test/hpvm_pass/GenHPVM/CreateNode.ll
similarity index 100%
rename from hpvm/test/regressionTests/GenHPVM/CreateNode.ll
rename to hpvm/test/hpvm_pass/GenHPVM/CreateNode.ll
diff --git a/hpvm/test/regressionTests/GenHPVM/CreateNodeAndEdge.ll b/hpvm/test/hpvm_pass/GenHPVM/CreateNodeAndEdge.ll
similarity index 100%
rename from hpvm/test/regressionTests/GenHPVM/CreateNodeAndEdge.ll
rename to hpvm/test/hpvm_pass/GenHPVM/CreateNodeAndEdge.ll
diff --git a/hpvm/test/regressionTests/GenHPVM/LeafBindEdge.ll b/hpvm/test/hpvm_pass/GenHPVM/LeafBindEdge.ll
similarity index 100%
rename from hpvm/test/regressionTests/GenHPVM/LeafBindEdge.ll
rename to hpvm/test/hpvm_pass/GenHPVM/LeafBindEdge.ll
diff --git a/hpvm/test/regressionTests/GenHPVM/LeafNodeGetters.ll b/hpvm/test/hpvm_pass/GenHPVM/LeafNodeGetters.ll
similarity index 100%
rename from hpvm/test/regressionTests/GenHPVM/LeafNodeGetters.ll
rename to hpvm/test/hpvm_pass/GenHPVM/LeafNodeGetters.ll
diff --git a/hpvm/test/regressionTests/GenHPVM/PopAndPush.ll b/hpvm/test/hpvm_pass/GenHPVM/PopAndPush.ll
similarity index 100%
rename from hpvm/test/regressionTests/GenHPVM/PopAndPush.ll
rename to hpvm/test/hpvm_pass/GenHPVM/PopAndPush.ll
diff --git a/hpvm/test/regressionTests/GenHPVM/ThreeLevel.ll b/hpvm/test/hpvm_pass/GenHPVM/ThreeLevel.ll
similarity index 100%
rename from hpvm/test/regressionTests/GenHPVM/ThreeLevel.ll
rename to hpvm/test/hpvm_pass/GenHPVM/ThreeLevel.ll
diff --git a/hpvm/test/regressionTests/GenHPVM/ThreeLevelEdge.ll b/hpvm/test/hpvm_pass/GenHPVM/ThreeLevelEdge.ll
similarity index 100%
rename from hpvm/test/regressionTests/GenHPVM/ThreeLevelEdge.ll
rename to hpvm/test/hpvm_pass/GenHPVM/ThreeLevelEdge.ll
diff --git a/hpvm/test/regressionTests/GenHPVM/TwoLaunch.ll b/hpvm/test/hpvm_pass/GenHPVM/TwoLaunch.ll
similarity index 100%
rename from hpvm/test/regressionTests/GenHPVM/TwoLaunch.ll
rename to hpvm/test/hpvm_pass/GenHPVM/TwoLaunch.ll
diff --git a/hpvm/test/regressionTests/GenHPVM/TwoLevel.ll b/hpvm/test/hpvm_pass/GenHPVM/TwoLevel.ll
similarity index 100%
rename from hpvm/test/regressionTests/GenHPVM/TwoLevel.ll
rename to hpvm/test/hpvm_pass/GenHPVM/TwoLevel.ll
diff --git a/hpvm/test/regressionTests/GenHPVM/oneLaunchAlloca.ll b/hpvm/test/hpvm_pass/GenHPVM/oneLaunchAlloca.ll
similarity index 100%
rename from hpvm/test/regressionTests/GenHPVM/oneLaunchAlloca.ll
rename to hpvm/test/hpvm_pass/GenHPVM/oneLaunchAlloca.ll
diff --git a/hpvm/test/regressionTests/GenHPVM/oneLaunchMalloc.ll b/hpvm/test/hpvm_pass/GenHPVM/oneLaunchMalloc.ll
similarity index 100%
rename from hpvm/test/regressionTests/GenHPVM/oneLaunchMalloc.ll
rename to hpvm/test/hpvm_pass/GenHPVM/oneLaunchMalloc.ll
diff --git a/hpvm/test/hpvm_pass/lit.cfg.py b/hpvm/test/hpvm_pass/lit.cfg.py
new file mode 100644
index 0000000000000000000000000000000000000000..4aae30a33698eabcc040ec6c7476c003679569c2
--- /dev/null
+++ b/hpvm/test/hpvm_pass/lit.cfg.py
@@ -0,0 +1,34 @@
+# -*- Python -*-
+
+# Configuration file for the 'lit' test runner.
+
+import os
+
+import lit.formats
+from lit.llvm import llvm_config
+
+# name: The name of this test suite.
+config.name = "HPVM-PASS"
+
+# testFormat: The test format to use to interpret tests.
+config.test_format = lit.formats.ShTest(not llvm_config.use_lit_shell)
+
+# suffixes: A list of file extensions to treat as test files. This is overriden
+# by individual lit.local.cfg files in the test subdirectories.
+config.suffixes = [".ll"]
+
+# test_source_root: The root path where tests are located.
+config.test_source_root = os.path.dirname(__file__)
+
+# test_exec_root: The root path where tests should be run.
+current_source_dir = os.path.dirname(os.path.relpath(__file__, config.llvm_src_root))
+current_binary_dir = os.path.join(config.llvm_obj_root, current_source_dir)
+config.test_exec_root = current_binary_dir
+
+# Tweak the PATH to include the tools dir.
+llvm_config.with_environment("PATH", config.llvm_tools_dir, append_path=True)
+
+llvm_config.use_default_substitutions()
+
+tools = ["opt"]
+llvm_config.add_tool_substitutions(tools, config.llvm_tools_dir)
diff --git a/hpvm/test/unitTests/ThreeLevel.ll b/hpvm/test/hpvm_pass/unitTests/ThreeLevel.ll
similarity index 100%
rename from hpvm/test/unitTests/ThreeLevel.ll
rename to hpvm/test/hpvm_pass/unitTests/ThreeLevel.ll
diff --git a/hpvm/test/unitTests/ThreeLevel.opt.ll b/hpvm/test/hpvm_pass/unitTests/ThreeLevel.opt.ll
similarity index 100%
rename from hpvm/test/unitTests/ThreeLevel.opt.ll
rename to hpvm/test/hpvm_pass/unitTests/ThreeLevel.opt.ll
diff --git a/hpvm/test/unitTests/TwoLevel.ll b/hpvm/test/hpvm_pass/unitTests/TwoLevel.ll
similarity index 100%
rename from hpvm/test/unitTests/TwoLevel.ll
rename to hpvm/test/hpvm_pass/unitTests/TwoLevel.ll
diff --git a/hpvm/test/lit.cfg.py b/hpvm/test/lit.cfg.py
deleted file mode 100644
index b4e55fbeae9b40c978b0dc047cb76ed4909efc66..0000000000000000000000000000000000000000
--- a/hpvm/test/lit.cfg.py
+++ /dev/null
@@ -1,51 +0,0 @@
-# -*- Python -*-
-
-# Configuration file for the 'lit' test runner.
-
-import os
-import sys
-
-import lit.util
-import lit.formats
-from lit.llvm import llvm_config
-
-# name: The name of this test suite.
-config.name = 'HPVM'
-
-# testFormat: The test format to use to interpret tests.
-config.test_format = lit.formats.ShTest(not llvm_config.use_lit_shell)
-
-# suffixes: A list of file extensions to treat as test files. This is overriden
-# by individual lit.local.cfg files in the test subdirectories.
-config.suffixes = ['.ll']
-
-# excludes: A list of directories to exclude from the testsuite. The 'Inputs'
-# subdirectories contain auxiliary inputs for various tests in their parent
-# directories.
-config.excludes = ['Inputs', 'CMakeLists.txt', 'README.txt', 'LICENSE.txt', 'benchmarks', 'dnn_benchmarks']
-
-# test_source_root: The root path where tests are located.
-config.test_source_root = os.path.dirname(__file__)
-
-# test_exec_root: The root path where tests should be run.
-config.test_exec_root = os.path.join(config.llvm_obj_root, 'test')
-
-# Tweak the PATH to include the tools dir.
-llvm_config.with_environment('PATH', config.llvm_tools_dir, append_path=True)
-
-# Propagate some variables from the host environment.
-llvm_config.with_system_environment(
- ['HOME', 'INCLUDE', 'LIB', 'TMP', 'TEMP', 'ASAN_SYMBOLIZER_PATH', 'MSAN_SYMBOLIZER_PATH'])
-
-llvm_config.use_default_substitutions()
-
-opt_viewer_cmd = '%s %s/tools/opt-viewer/opt-viewer.py' % (sys.executable, config.llvm_src_root)
-
-tools = ['opt']
-
-llvm_config.add_tool_substitutions(tools, config.llvm_tools_dir)
-
-# Targets
-config.targets = frozenset(config.targets_to_build.split())
-for arch in config.targets_to_build.split():
- config.available_features.add(arch.lower() + '-registered-target')
diff --git a/hpvm/test/lit.site.cfg.py.in b/hpvm/test/lit.site.cfg.py.in
index 3fc50039dfa49299c6151fa7bb009e4de4e5d1f8..0ed68ccfa0d05e797463dcd2e0a1f9030a20b99a 100644
--- a/hpvm/test/lit.site.cfg.py.in
+++ b/hpvm/test/lit.site.cfg.py.in
@@ -1,64 +1,13 @@
-@LIT_SITE_CFG_IN_HEADER@
+# This file is shared between test suites.
+# It's repeatedly generated into build directory with different CMAKE_CURRENT_SOURCE_DIR.
-import sys
-
-config.host_triple = "@LLVM_HOST_TRIPLE@"
-config.target_triple = "@TARGET_TRIPLE@"
config.llvm_src_root = "@LLVM_SOURCE_DIR@"
config.llvm_obj_root = "@LLVM_BINARY_DIR@"
config.llvm_tools_dir = "@LLVM_TOOLS_DIR@"
config.llvm_lib_dir = "@LLVM_LIBRARY_DIR@"
-config.llvm_shlib_dir = "@SHLIBDIR@"
-config.llvm_shlib_ext = "@SHLIBEXT@"
-config.llvm_exe_ext = "@EXEEXT@"
-config.lit_tools_dir = "@LLVM_LIT_TOOLS_DIR@"
-config.python_executable = "@PYTHON_EXECUTABLE@"
-config.gold_executable = "@GOLD_EXECUTABLE@"
-config.ld64_executable = "@LD64_EXECUTABLE@"
-config.ocamlfind_executable = "@OCAMLFIND@"
-config.have_ocamlopt = @HAVE_OCAMLOPT@
-config.have_ocaml_ounit = @HAVE_OCAML_OUNIT@
-config.ocaml_flags = "@OCAMLFLAGS@"
-config.include_go_tests = @LLVM_INCLUDE_GO_TESTS@
-config.go_executable = "@GO_EXECUTABLE@"
-config.enable_shared = @ENABLE_SHARED@
-config.enable_assertions = @ENABLE_ASSERTIONS@
-config.targets_to_build = "@TARGETS_TO_BUILD@"
-config.native_target = "@LLVM_NATIVE_ARCH@"
-config.llvm_bindings = "@LLVM_BINDINGS@".split(' ')
-config.host_os = "@HOST_OS@"
-config.host_cc = "@HOST_CC@"
-config.host_cxx = "@HOST_CXX@"
-config.host_ldflags = "@HOST_LDFLAGS@"
-config.llvm_use_intel_jitevents = @LLVM_USE_INTEL_JITEVENTS@
-config.llvm_use_sanitizer = "@LLVM_USE_SANITIZER@"
-config.have_zlib = @HAVE_LIBZ@
-config.have_libxar = @HAVE_LIBXAR@
-config.have_dia_sdk = @LLVM_ENABLE_DIA_SDK@
-config.enable_ffi = @LLVM_ENABLE_FFI@
-config.build_examples = @LLVM_BUILD_EXAMPLES@
-config.enable_threads = @LLVM_ENABLE_THREADS@
-config.build_shared_libs = @BUILD_SHARED_LIBS@
-config.link_llvm_dylib = @LLVM_LINK_LLVM_DYLIB@
-config.llvm_libxml2_enabled = @LLVM_LIBXML2_ENABLED@
-config.llvm_host_triple = '@LLVM_HOST_TRIPLE@'
-config.host_arch = "@HOST_ARCH@"
-config.have_opt_viewer_modules = @LLVM_HAVE_OPT_VIEWER_MODULES@
-config.libcxx_used = @LLVM_LIBCXX_USED@
-config.has_plugins = @LLVM_ENABLE_PLUGINS@
-
-# Support substitution of the tools_dir with user parameters. This is
-# used when we can't determine the tool dir at configuration time.
-try:
- config.llvm_tools_dir = config.llvm_tools_dir % lit_config.params
- config.llvm_shlib_dir = config.llvm_shlib_dir % lit_config.params
-except KeyError:
- e = sys.exc_info()[1]
- key, = e.args
- lit_config.fatal("unable to find %r parameter, use '--param=%s=VALUE'" % (key,key))
import lit.llvm
lit.llvm.initialize(lit_config, config)
# Let the main config do the real work.
-lit_config.load_config(config, "@LLVM_SOURCE_DIR@/tools/hpvm/test/lit.cfg.py")
+lit_config.load_config(config, "@CMAKE_CURRENT_SOURCE_DIR@/lit.cfg.py")
diff --git a/hpvm/tools/py-approxhpvm/CMakeLists.txt b/hpvm/tools/py-approxhpvm/CMakeLists.txt
index 60fbc66aadd362e6aceb507dec5f1bec1223c418..f93f96dd0578a67630cc859bba2e24e071b39299 100644
--- a/hpvm/tools/py-approxhpvm/CMakeLists.txt
+++ b/hpvm/tools/py-approxhpvm/CMakeLists.txt
@@ -9,12 +9,7 @@ set(LIB_DIR ${CMAKE_LIBRARY_OUTPUT_DIRECTORY})
# and does not export its file location.
# Keep this in sync with hpvm/projects/hpvm-rt/CMakeLists.txt.
set(HPVM_RT_PATH ${LLVM_BUILD_DIR}/tools/hpvm/projects/hpvm-rt/hpvm-rt.bc)
-set(
- TENSOR_RUNTIME_LIBS
- "$<TARGET_FILE:tensor_runtime>"
- "$<TARGET_FILE:gpu_profiler>"
- "$<TARGET_FILE:promise_profiler>"
-)
+set(TENSOR_RUNTIME_LIB "$<TARGET_FILE:tensor_runtime>")
set(
AVAILABLE_PASSES
LLVMBuildDFG
@@ -38,8 +33,6 @@ file(GENERATE OUTPUT ${CMAKE_CURRENT_BINARY_DIR}/main.py INPUT ${CMAKE_CURRENT_B
set(
DEPS
tensor_runtime
- gpu_profiler
- promise_profiler
LLVMBuildDFG
LLVMInPlaceDFGAnalysis
LLVMDFG2LLVM_CPU
diff --git a/hpvm/tools/py-approxhpvm/main.py.in b/hpvm/tools/py-approxhpvm/main.py.in
index fdbbaec1ccc070f87bedcd0f0c646e12531d99fe..af706a1eaa7a53879e525d87dd5034caf814db38 100644
--- a/hpvm/tools/py-approxhpvm/main.py.in
+++ b/hpvm/tools/py-approxhpvm/main.py.in
@@ -9,7 +9,7 @@ PathLike = Union[Path, str]
HPVM_PROJECT_DIR = Path("@LLVM_PROJECT_DIR@") / "tools/hpvm"
LLVM_BUILD_DIR = Path("@LLVM_BUILD_DIR@") / "bin"
CUDA_TOOLKIT_ROOT_DIR = Path("@CUDA_TOOLKIT_ROOT_DIR@")
-TENSOR_RUNTIME_LIBS = "@TENSOR_RUNTIME_LIBS@".split(";")
+TENSOR_RUNTIME_LIB = Path("@TENSOR_RUNTIME_LIB@")
AVAILABLE_PASSES = "@AVAILABLE_PASSES@".split(";")
HPVM_RT_PATH = "@HPVM_RT_PATH@"
CUDNN_DIR = "@CUDNN_DIR@"
@@ -22,7 +22,7 @@ INCLUDE_DIRS = [
HPVM_PROJECT_DIR / "test/dnn_benchmarks/hpvm-c/include", # hpvm-c intrinsics decl dir
CUDA_TOOLKIT_ROOT_DIR / "include", # CUDA include dir
]
-LINK_DIRS = [CUDA_TOOLKIT_ROOT_DIR / "lib64", CUDNN_DIR]
+LINK_DIRS = [CUDA_TOOLKIT_ROOT_DIR / "lib64", CUDNN_DIR, TENSOR_RUNTIME_LIB.parent]
LINK_LIBS = [
"pthread", "cudart", "curand", "cudnn", "cublas", "cufft", "OpenCL", "stdc++fs", "omp", "m"
]
@@ -119,10 +119,12 @@ def link_hpvm_rt(src_file: PathLike, target_file: PathLike) -> List[str]:
def link_binary(src_file: PathLike, target_file: PathLike) -> List[str]:
- linker_dir_flags = [f"-L{path}" for path in LINK_DIRS]
+ linker_dir_flags = []
+ for path in LINK_DIRS:
+ linker_dir_flags.extend([f"-L{path}", f"-Wl,-rpath={path}"])
linker_lib_flags = [f"-l{lib}" for lib in LINK_LIBS]
return [
- str(LLVM_BUILD_DIR / "clang++"), str(src_file), *TENSOR_RUNTIME_LIBS, "-o", str(target_file),
+ str(LLVM_BUILD_DIR / "clang++"), str(src_file), str(TENSOR_RUNTIME_LIB), "-o", str(target_file),
*linker_dir_flags, *linker_lib_flags
]