GitHub - xzy256/tf-benchmark: 用于简单的多平台性能对比测试用例

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用于简单的多平台性能对比测试用例

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Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
mnist-data		mnist-data
README		README
alexnet_benchmark.py		alexnet_benchmark.py
cnn_multicore_benchmark.py		cnn_multicore_benchmark.py
cnn_multithread_benchmark.py		cnn_multithread_benchmark.py
convolution_benchmark.py		convolution_benchmark.py
inception_v3_benchmark.py		inception_v3_benchmark.py
k_nearest_neighbor.py		k_nearest_neighbor.py
linear_regression.py		linear_regression.py
matmul_add_benchmark.py		matmul_add_benchmark.py
resnet_benchmark.py		resnet_benchmark.py
softmax_regression.py		softmax_regression.py
vgg_benchmark.py		vgg_benchmark.py

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@author:xzy
@time:2018.1.16
该项目是一个简单的benchmark，旨在对比不同平台的tensorflow的性能时使用
总共包含以下测试用列，其中alexnet、vgg、inception_v3、resnet-50和cnn、knn、cnn多核多线程等：
alexnet_benchmark.py		#alexnet 
cnn_multicore_benchmark.py	#cnn多核
cnn_multithread_benchmark.py	#cnn多线程
convolution_benchmark.py	#cnn
inception_v3_benchmark.py	#gooLeNet v3
k_nearest_neighbor.py		#KNN
matmul_add_benchmark.py		#矩阵乘
resnet_benchmark.py		#resnet-50,可以配置成101,152,200
softmax_regression.py		#softmax回归
vgg_benchmark.py		#VGG
linear_regression.py		#线性回归

test:
$ python xxxx.py