From 748c8addc4298b1686aaea3490f16a7d727eaacb Mon Sep 17 00:00:00 2001
From: Hashim Sharif <hsharif3@miranda.cs.illinois.edu>
Date: Thu, 25 Mar 2021 23:18:12 -0500
Subject: [PATCH] Fixing Benchmark name - Keras
---
hpvm/test/dnn_benchmarks/keras/alexnet.py | 4 ++--
hpvm/test/dnn_benchmarks/keras/alexnet2.py | 4 ++--
hpvm/test/dnn_benchmarks/keras/alexnet_imagenet.py | 4 ++--
hpvm/test/dnn_benchmarks/keras/lenet.py | 4 ++--
hpvm/test/dnn_benchmarks/keras/mobilenet_cifar10.py | 4 ++--
hpvm/test/dnn_benchmarks/keras/resnet18_cifar10.py | 4 ++--
hpvm/test/dnn_benchmarks/keras/resnet50_imagenet.py | 4 ++--
hpvm/test/dnn_benchmarks/keras/vgg16_cifar10.py | 4 ++--
hpvm/test/dnn_benchmarks/keras/vgg16_cifar100.py | 4 ++--
hpvm/test/dnn_benchmarks/keras/vgg16_imagenet.py | 4 ++--
10 files changed, 20 insertions(+), 20 deletions(-)
diff --git a/hpvm/test/dnn_benchmarks/keras/alexnet.py b/hpvm/test/dnn_benchmarks/keras/alexnet.py
index d6e7f98c43..849e1a267d 100644
--- a/hpvm/test/dnn_benchmarks/keras/alexnet.py
+++ b/hpvm/test/dnn_benchmarks/keras/alexnet.py
@@ -150,9 +150,9 @@ if __name__ == '__main__':
batch_size = 500 # Batch Size set to 500 - Adjust this value based on your GPU memory
# All Classes inherit from 'Benchmark` class in src/Benchmark.py and have a common Constructor
- model = AlexNet_CIFAR10('AlexNet_CIFAR10', reload_dir, keras_model_file, data_dir, src_dir, num_classes, batch_size)
+ AlexNet = AlexNet_CIFAR10('AlexNet_CIFAR10', reload_dir, keras_model_file, data_dir, src_dir, num_classes, batch_size)
# This invokes the common run function in src/Benchmark.py
- model.exportToHPVM(sys.argv)
+ AlexNet.exportToHPVM(sys.argv)
diff --git a/hpvm/test/dnn_benchmarks/keras/alexnet2.py b/hpvm/test/dnn_benchmarks/keras/alexnet2.py
index 22b499d577..7a75d9b5b3 100644
--- a/hpvm/test/dnn_benchmarks/keras/alexnet2.py
+++ b/hpvm/test/dnn_benchmarks/keras/alexnet2.py
@@ -142,6 +142,6 @@ if __name__ == '__main__':
num_classes = 10
batch_size = 500
- model = AlexNet2_CIFAR10('AlexNet2_CIFAR10', reload_dir, keras_model_file, data_dir, src_dir, num_classes, batch_size)
+ AlexNet2 = AlexNet2_CIFAR10('AlexNet2_CIFAR10', reload_dir, keras_model_file, data_dir, src_dir, num_classes, batch_size)
- model.exportToHPVM(sys.argv)
+ AlexNet2.exportToHPVM(sys.argv)
diff --git a/hpvm/test/dnn_benchmarks/keras/alexnet_imagenet.py b/hpvm/test/dnn_benchmarks/keras/alexnet_imagenet.py
index e23fef7417..20e43edb07 100644
--- a/hpvm/test/dnn_benchmarks/keras/alexnet_imagenet.py
+++ b/hpvm/test/dnn_benchmarks/keras/alexnet_imagenet.py
@@ -99,9 +99,9 @@ if __name__ == '__main__':
num_classes = 1000
batch_size = 50
- model = AlexNet('AlexNet_Imagenet', reload_dir, keras_model_file, data_dir, src_dir, num_classes, batch_size)
+ AlexNet = AlexNet('AlexNet_Imagenet', reload_dir, keras_model_file, data_dir, src_dir, num_classes, batch_size)
- model.exportToHPVM(sys.argv)
+ AlexNet.exportToHPVM(sys.argv)
diff --git a/hpvm/test/dnn_benchmarks/keras/lenet.py b/hpvm/test/dnn_benchmarks/keras/lenet.py
index 83f76ef306..840dfddfe2 100644
--- a/hpvm/test/dnn_benchmarks/keras/lenet.py
+++ b/hpvm/test/dnn_benchmarks/keras/lenet.py
@@ -110,6 +110,6 @@ if __name__ == '__main__':
print (reload_dir)
- model = LeNet_MNIST('LeNet_MNIST', reload_dir, keras_model_file, data_dir, src_dir, num_classes, batch_size)
+ LeNet = LeNet_MNIST('LeNet_MNIST', reload_dir, keras_model_file, data_dir, src_dir, num_classes, batch_size)
- model.exportToHPVM(sys.argv)
+ LeNet.exportToHPVM(sys.argv)
diff --git a/hpvm/test/dnn_benchmarks/keras/mobilenet_cifar10.py b/hpvm/test/dnn_benchmarks/keras/mobilenet_cifar10.py
index a236e0305f..d59c85c558 100644
--- a/hpvm/test/dnn_benchmarks/keras/mobilenet_cifar10.py
+++ b/hpvm/test/dnn_benchmarks/keras/mobilenet_cifar10.py
@@ -188,7 +188,7 @@ if __name__ == '__main__':
num_classes = 10
batch_size = 500
- model = MobileNet_CIFAR10('MobileNet_CIFAR10', reload_dir, keras_model_file, data_dir, src_dir, num_classes, batch_size)
+ MobileNet = MobileNet_CIFAR10('MobileNet_CIFAR10', reload_dir, keras_model_file, data_dir, src_dir, num_classes, batch_size)
- model.exportToHPVM(sys.argv)
+ MobileNet.exportToHPVM(sys.argv)
diff --git a/hpvm/test/dnn_benchmarks/keras/resnet18_cifar10.py b/hpvm/test/dnn_benchmarks/keras/resnet18_cifar10.py
index 9e8c23cdc6..e5d564b02d 100644
--- a/hpvm/test/dnn_benchmarks/keras/resnet18_cifar10.py
+++ b/hpvm/test/dnn_benchmarks/keras/resnet18_cifar10.py
@@ -560,7 +560,7 @@ if __name__ == '__main__':
num_classes = 10
batch_size = 500
- model = ResNet18_CIFAR10('ResNet18_CIFAR10', reload_dir, keras_model_file, data_dir, src_dir, num_classes, batch_size)
+ ResNet18 = ResNet18_CIFAR10('ResNet18_CIFAR10', reload_dir, keras_model_file, data_dir, src_dir, num_classes, batch_size)
- model.exportToHPVM(sys.argv)
+ ResNet18.exportToHPVM(sys.argv)
diff --git a/hpvm/test/dnn_benchmarks/keras/resnet50_imagenet.py b/hpvm/test/dnn_benchmarks/keras/resnet50_imagenet.py
index 9ac71337b9..94f6b291cb 100644
--- a/hpvm/test/dnn_benchmarks/keras/resnet50_imagenet.py
+++ b/hpvm/test/dnn_benchmarks/keras/resnet50_imagenet.py
@@ -147,9 +147,9 @@ if __name__ == '__main__':
num_classes = 1000
batch_size = 50
- model = ResNet50('ResNet50_imagenet', reload_dir, keras_model_file, data_dir, src_dir, num_classes, batch_size)
+ ResNet50 = ResNet50('ResNet50_imagenet', reload_dir, keras_model_file, data_dir, src_dir, num_classes, batch_size)
- model.exportToHPVM(sys.argv)
+ ResNet50.exportToHPVM(sys.argv)
diff --git a/hpvm/test/dnn_benchmarks/keras/vgg16_cifar10.py b/hpvm/test/dnn_benchmarks/keras/vgg16_cifar10.py
index 03563cba8a..a3edd2d6b9 100644
--- a/hpvm/test/dnn_benchmarks/keras/vgg16_cifar10.py
+++ b/hpvm/test/dnn_benchmarks/keras/vgg16_cifar10.py
@@ -190,8 +190,8 @@ if __name__ == '__main__':
num_classes = 10
batch_size = 500
- model = VGG16_CIFAR10('VGG16_CIFAR10', reload_dir, keras_model_file, data_dir, src_dir, num_classes, batch_size)
+ VGG16 = VGG16_CIFAR10('VGG16_CIFAR10', reload_dir, keras_model_file, data_dir, src_dir, num_classes, batch_size)
- model.exportToHPVM(sys.argv)
+ VGG16.exportToHPVM(sys.argv)
diff --git a/hpvm/test/dnn_benchmarks/keras/vgg16_cifar100.py b/hpvm/test/dnn_benchmarks/keras/vgg16_cifar100.py
index 716b441706..b5f34f7c7d 100644
--- a/hpvm/test/dnn_benchmarks/keras/vgg16_cifar100.py
+++ b/hpvm/test/dnn_benchmarks/keras/vgg16_cifar100.py
@@ -205,7 +205,7 @@ if __name__ == '__main__':
num_classes = 100
batch_size = 100
- model = VGG16_CIFAR100('VGG16_CIFAR100', reload_dir, keras_model_file, data_dir, src_dir, num_classes, batch_size)
+ VGG16 = VGG16_CIFAR100('VGG16_CIFAR100', reload_dir, keras_model_file, data_dir, src_dir, num_classes, batch_size)
- model.exportToHPVM(sys.argv)
+ VGG16.exportToHPVM(sys.argv)
diff --git a/hpvm/test/dnn_benchmarks/keras/vgg16_imagenet.py b/hpvm/test/dnn_benchmarks/keras/vgg16_imagenet.py
index bcba547174..93cbf6f478 100644
--- a/hpvm/test/dnn_benchmarks/keras/vgg16_imagenet.py
+++ b/hpvm/test/dnn_benchmarks/keras/vgg16_imagenet.py
@@ -132,9 +132,9 @@ if __name__ == '__main__':
num_classes = 1000
batch_size = 25
- alexnet = VGG16('VGG16_imagenet', reload_dir, keras_model_file, data_dir, src_dir, num_classes, batch_size)
+ VGG16 = VGG16('VGG16_imagenet', reload_dir, keras_model_file, data_dir, src_dir, num_classes, batch_size)
- alexnet.exportToHPVM(sys.argv)
+ VGG16.exportToHPVM(sys.argv)
--
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