Update TensorRT README.md

hpvm/projects/hpvm-tensor-rt/README.md

@@ -4,29 +4,21 @@
 
 ### Dependencies
 
-- CUDA-9.1 or above
-  - Your device must have a CUDA-enabled nVidia GPU
-  - CUBLAS-9.1 or above - included with CUDA by default
+- CUDA >= 9.1
 
-- cuDNN-7.0 or above
+- cuDNN >= 7
 
-- `cmake >= 3.18`
+### Building Tensor Runtime
 
-- `make >= 4`
+Tensor Runtime and the DNN sources using the Tensor runtime are built with the unified HPVM build system. These 
+can also be separately built. HPVM Tensor Runtime can be built as:
 
-- `gcc < 8` or `3.2 <= clang < 9`
-  - We have an upperbound for compiler version because CUDA doesn't support too recent compilers
+```
+make -j ${NUM_THREADS} tensor_runtime
+```
 
-### Building the Tensor Runtime
+The tensor runtime is built as a static library under `build/lib/liibtensor_runtime.a` 
 
-The following commands will compile the tensor runtime library (`build/libtensor_runtime.a`)
-as well as a number of exemplary benchmarks (DNN models):
-
-```shell
-mkdir build && cd build
-cmake ../
-make -j
-```
 
 ### Tensor Runtime APIs
 
@@ -38,26 +30,10 @@ make -j
 - For examples of using `tensor_runtime` functions, see `dnn_sources/src/alexnet_cifar10.cc`.
   - Also, try running `build/alexnet_cifar10` which is compiled from that file and runnable out of the box.
 
-## Developer Notes
 
 ### Directory Structure
 
-- ./tensor_runtime:
-  - ./tensor_runtime/include/: Include files for Tensor Runtime
-  - ./tensor_runtime/include/tensor_signatures.cc: Include file with Tensor RT signatures
-    - NOTE: UPDATE this with updated API
-  - ./tensor_runtime/src/: HPVM TensorRT sources
+- `tensor_runtime`:
   
-- ./dnn_sources:
-  - ./dnn_sources/src/${BENCH}.cc: Per Bench FULL-precision source
-  - ./dnn_sources/src/half/${BENCH}.cc: Per Bench HALF-precision source
-  - ./dnn_sources/src/promise/${BENCH}.cc: Per Bench Layer-API source
-
-- ./bin:
-  - ./bin/install_runtime.sh: Script for moving Tensor RT files to ./lib
-  - ./bin/run_autotuner.py: Python script for running Autotuner experiments
-  - ./bin/setup_tyler_paths.sh: Tyler-specific path setup for Tensor RT
-  - ./bin/setup_jetson.sh: Jetson board specific path setup for Tensor RT
-  - ./bin/setup_cuda_paths.sh: Place-holder script for setting CUDA paths
-  - ./bin/swing_selection.py: Script for hardware mapping
-    - NOTE: Includes the L2,L1 norm mapping to hardware knobs
+- `dnn_sources1`:
+