From b5ee183a454513b90f81a402ca13536b9abfdc3e Mon Sep 17 00:00:00 2001
From: Nathan Zhao <nz11@miranda.cs.illinois.edu>
Date: Tue, 23 Mar 2021 11:48:30 -0500
Subject: [PATCH] fix file paths
---
hpvm/test/dnn_benchmarks/keras/alexnet.py | 6 +++---
hpvm/test/dnn_benchmarks/keras/alexnet2.py | 6 +++---
hpvm/test/dnn_benchmarks/keras/alexnet_imagenet.py | 6 +++---
hpvm/test/dnn_benchmarks/keras/lenet.py | 6 +++---
hpvm/test/dnn_benchmarks/keras/mobilenet_cifar10.py | 6 +++---
hpvm/test/dnn_benchmarks/keras/resnet18_cifar10.py | 6 +++---
hpvm/test/dnn_benchmarks/keras/resnet50_imagenet.py | 6 +++---
hpvm/test/dnn_benchmarks/keras/vgg16_cifar10.py | 6 +++---
hpvm/test/dnn_benchmarks/keras/vgg16_cifar100.py | 6 +++---
hpvm/test/dnn_benchmarks/keras/vgg16_imagenet.py | 6 +++---
10 files changed, 30 insertions(+), 30 deletions(-)
diff --git a/hpvm/test/dnn_benchmarks/keras/alexnet.py b/hpvm/test/dnn_benchmarks/keras/alexnet.py
index 0eefe1b3d3..7adfd5be5f 100644
--- a/hpvm/test/dnn_benchmarks/keras/alexnet.py
+++ b/hpvm/test/dnn_benchmarks/keras/alexnet.py
@@ -143,10 +143,10 @@ if __name__ == '__main__':
# *** Below are Parameters specific to each benchmark *****
reload_dir = MODEL_PARAMS_DIR + '/alexnet_cifar10/'
## Either the HPVM weights are loaded (above) or the Keras Model from the path below
- keras_model_file = MODEL_PARAMS_DIR + '/alexnet_cifar10/weights.h5'
- data_dir = '' # if reloading weights, data_dir can be set to empty string (value is ignored)
+ keras_model_file = MODEL_PARAMS_DIR + '/alexnet_cifar10/model.h5'
+ data_dir = 'data/alexnet_cifar10_hpvm/' # if reloading weights, data_dir can be set to empty string (value is ignored)
- src_dir = 'data/alexnet_cifar10_src/' # Directory where HPVM sources are downloaded
+ src_dir = 'src/alexnet_cifar10_src_hpvm/' # Directory where HPVM sources are downloaded
num_classes = 10 # Specify num out output classes - CIFAR10 has `10` classes
batch_size = 500 # Batch Size set to 500 - Adjust this value based on your GPU memory
diff --git a/hpvm/test/dnn_benchmarks/keras/alexnet2.py b/hpvm/test/dnn_benchmarks/keras/alexnet2.py
index d2c7d566bb..447d9d32ad 100644
--- a/hpvm/test/dnn_benchmarks/keras/alexnet2.py
+++ b/hpvm/test/dnn_benchmarks/keras/alexnet2.py
@@ -136,9 +136,9 @@ if __name__ == '__main__':
### Parameters specific to each benchmark
reload_dir = MODEL_PARAMS_DIR + '/alexnet2_cifar10/'
- keras_model_file = MODEL_PARAMS_DIR + '/alexnet2_cifar10/weights.h5'
- data_dir = ''
- src_dir = 'data/alexnet2_cifar10_src/'
+ keras_model_file = MODEL_PARAMS_DIR + '/alexnet2_cifar10/model.h5'
+ data_dir = 'data/alexnet2_cifar10/'
+ src_dir = 'src/alexnet2_cifar10_src/'
num_classes = 10
batch_size = 500
diff --git a/hpvm/test/dnn_benchmarks/keras/alexnet_imagenet.py b/hpvm/test/dnn_benchmarks/keras/alexnet_imagenet.py
index 1cfe7a79c2..9be1ff648c 100644
--- a/hpvm/test/dnn_benchmarks/keras/alexnet_imagenet.py
+++ b/hpvm/test/dnn_benchmarks/keras/alexnet_imagenet.py
@@ -93,9 +93,9 @@ if __name__ == '__main__':
### Parameters specific to each benchmark
reload_dir = MODEL_PARAMS_DIR + '/alexnet_imagenet/'
- keras_model_file = MODEL_PARAMS_DIR + '/alexnet_imagenet/weights.h5'
- data_dir = ''
- src_dir = 'data/alexnet_imagenet_src/'
+ keras_model_file = MODEL_PARAMS_DIR + '/alexnet_imagenet/model.h5'
+ data_dir = 'data/alexnet_imagenet/'
+ src_dir = 'src/alexnet_imagenet_src/'
num_classes = 1000
batch_size = 50
diff --git a/hpvm/test/dnn_benchmarks/keras/lenet.py b/hpvm/test/dnn_benchmarks/keras/lenet.py
index 70dd73a66a..9de3c28b15 100644
--- a/hpvm/test/dnn_benchmarks/keras/lenet.py
+++ b/hpvm/test/dnn_benchmarks/keras/lenet.py
@@ -102,9 +102,9 @@ if __name__ == '__main__':
### Parameters specific to each benchmark
reload_dir = MODEL_PARAMS_DIR + '/lenet_mnist/'
- keras_model_file = MODEL_PARAMS_DIR + '/lenet_mnist/weights.h5'
- data_dir = ''
- src_dir = 'data/lenet_mnist_src/'
+ keras_model_file = MODEL_PARAMS_DIR + '/lenet_mnist/model.h5'
+ data_dir = 'data/lenet_mnist/'
+ src_dir = 'src/lenet_mnist_src/'
num_classes = 10
batch_size = 500
diff --git a/hpvm/test/dnn_benchmarks/keras/mobilenet_cifar10.py b/hpvm/test/dnn_benchmarks/keras/mobilenet_cifar10.py
index 34335b0f1a..4987f3235f 100644
--- a/hpvm/test/dnn_benchmarks/keras/mobilenet_cifar10.py
+++ b/hpvm/test/dnn_benchmarks/keras/mobilenet_cifar10.py
@@ -182,9 +182,9 @@ if __name__ == '__main__':
### Parameters specific to each benchmark
reload_dir = MODEL_PARAMS_DIR + '/mobilenet_cifar10/'
- keras_model_file = MODEL_PARAMS_DIR + '/mobilenet_cifar10/weights.h5'
- data_dir = ''
- src_dir = 'data/mobilenet_cifar10_src/'
+ keras_model_file = MODEL_PARAMS_DIR + '/mobilenet_cifar10/model.h5'
+ data_dir = 'data/mobilenet_cifar10/'
+ src_dir = 'src/mobilenet_cifar10_src/'
num_classes = 10
batch_size = 500
diff --git a/hpvm/test/dnn_benchmarks/keras/resnet18_cifar10.py b/hpvm/test/dnn_benchmarks/keras/resnet18_cifar10.py
index 02753f9eac..1a77cf1b2c 100644
--- a/hpvm/test/dnn_benchmarks/keras/resnet18_cifar10.py
+++ b/hpvm/test/dnn_benchmarks/keras/resnet18_cifar10.py
@@ -554,9 +554,9 @@ if __name__ == '__main__':
### Parameters specific to each benchmark
reload_dir = MODEL_PARAMS_DIR + '/resnet18_cifar10/'
- keras_model_file = MODEL_PARAMS_DIR + '/resnet18_cifar10/weights.h5'
- data_dir = ''
- src_dir = 'data/resnet18_cifar10_src/'
+ keras_model_file = MODEL_PARAMS_DIR + '/resnet18_cifar10/model.h5'
+ data_dir = 'data/resnet18_cifar10/'
+ src_dir = 'src/resnet18_cifar10_src/'
num_classes = 10
batch_size = 500
diff --git a/hpvm/test/dnn_benchmarks/keras/resnet50_imagenet.py b/hpvm/test/dnn_benchmarks/keras/resnet50_imagenet.py
index de42ae48d8..6674faffab 100644
--- a/hpvm/test/dnn_benchmarks/keras/resnet50_imagenet.py
+++ b/hpvm/test/dnn_benchmarks/keras/resnet50_imagenet.py
@@ -141,9 +141,9 @@ if __name__ == '__main__':
### Parameters specific to each benchmark
reload_dir = MODEL_PARAMS_DIR + '/resnet50_imagenet/'
- keras_model_file = MODEL_PARAMS_DIR + '/resnet50_imagenet/weights.h5'
- data_dir = ''
- src_dir = 'data/resnet50_imagenet_src/'
+ keras_model_file = MODEL_PARAMS_DIR + '/resnet50_imagenet/model.h5'
+ data_dir = 'data/resnet50_imagenet/'
+ src_dir = 'src/resnet50_imagenet_src/'
num_classes = 1000
batch_size = 50
diff --git a/hpvm/test/dnn_benchmarks/keras/vgg16_cifar10.py b/hpvm/test/dnn_benchmarks/keras/vgg16_cifar10.py
index 9a5071ee94..53207a039c 100644
--- a/hpvm/test/dnn_benchmarks/keras/vgg16_cifar10.py
+++ b/hpvm/test/dnn_benchmarks/keras/vgg16_cifar10.py
@@ -184,9 +184,9 @@ if __name__ == '__main__':
### Parameters specific to each benchmark
reload_dir = MODEL_PARAMS_DIR + '/vgg16_cifar10/'
- keras_model_file = MODEL_PARAMS_DIR + '/vgg16_cifar10/weights.h5'
- data_dir = ''
- src_dir = 'data/vgg16_cifar10_src/'
+ keras_model_file = MODEL_PARAMS_DIR + '/vgg16_cifar10/model.h5'
+ data_dir = 'data/vgg16_cifar10/'
+ src_dir = 'src/vgg16_cifar10_src/'
num_classes = 10
batch_size = 500
diff --git a/hpvm/test/dnn_benchmarks/keras/vgg16_cifar100.py b/hpvm/test/dnn_benchmarks/keras/vgg16_cifar100.py
index 0fd51ebe03..6fcfd3249e 100644
--- a/hpvm/test/dnn_benchmarks/keras/vgg16_cifar100.py
+++ b/hpvm/test/dnn_benchmarks/keras/vgg16_cifar100.py
@@ -199,9 +199,9 @@ if __name__ == '__main__':
### Parameters specific to each benchmark
reload_dir = MODEL_PARAMS_DIR + '/vgg16_cifar100/'
- keras_model_file = MODEL_PARAMS_DIR + '/vgg16_cifar100/weights.h5'
- data_dir = ''
- src_dir = 'data/vgg16_cifar100_src/'
+ keras_model_file = MODEL_PARAMS_DIR + '/vgg16_cifar100/model.h5'
+ data_dir = 'data/vgg16_cifar100/'
+ src_dir = 'src/vgg16_cifar100_src/'
num_classes = 100
batch_size = 100
diff --git a/hpvm/test/dnn_benchmarks/keras/vgg16_imagenet.py b/hpvm/test/dnn_benchmarks/keras/vgg16_imagenet.py
index 6b9458b537..a881d2340f 100644
--- a/hpvm/test/dnn_benchmarks/keras/vgg16_imagenet.py
+++ b/hpvm/test/dnn_benchmarks/keras/vgg16_imagenet.py
@@ -126,9 +126,9 @@ if __name__ == '__main__':
### Parameters specific to each benchmark
reload_dir = MODEL_PARAMS_DIR + '/vgg16_imagenet/'
- keras_model_file = MODEL_PARAMS_DIR + '/vgg16_imagenet/weights.h5'
- data_dir = ''
- src_dir = 'data/vgg16_imagenet_src/'
+ keras_model_file = MODEL_PARAMS_DIR + '/vgg16_imagenet/model.h5'
+ data_dir = 'data/vgg16_imagenet/'
+ src_dir = 'src/vgg16_imagenet_src/'
num_classes = 1000
batch_size = 25
--
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