enable alexnet benchmark #6852
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enable alexnet benchmark #6852
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luotao1
reviewed
Dec 22, 2017
| 'num_class': num_class, | ||
| 'is_infer': is_infer, | ||
| 'num_samples': num_samples | ||
| } | ||
| define_py_data_sources2( | ||
| "train.list", None, module="provider", obj="process", args=args) | ||
|
|
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groups=2 if use_mkldnn else 1
net = img_conv_layer(
input=net, filter_size=5, num_filters=256, stride=1, padding=2, groups=groups)
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这个我刚好改了逻辑，就是你说的现在这样了。thx。
| @@ -79,6 +79,7 @@ fi | |||
| # inference benchmark | |||
| for use_mkldnn in True False; do | |||
| for batchsize in 1 2 4 8 16; do | |||
| infer alexnet group2 $batchsize $use_mkldnn | |||
| infer googlenet v1 $batchsize $use_mkldnn | |||
| infer resnet 50 $batchsize $use_mkldnn | |||
| infer vgg 19 $batchsize $use_mkldnn | |||
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这里的测试顺序和train的刚好反过来，麻烦都换成一样的测试顺序吧。
luotao1
reviewed
Dec 22, 2017
| infer vgg 19 $batchsize $use_mkldnn | ||
| infer resnet 50 $batchsize $use_mkldnn | ||
| infer googlenet v1 $batchsize $use_mkldnn | ||
| infer alexnet 2 $batchsize $use_mkldnn |
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openblas的脚本里面，是没有$use_mkldnn的
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Thanks! My fault.
| @@ -36,4 +36,5 @@ for batchsize in 64 128 256; do | |||
| train vgg 19 $batchsize | |||
| train resnet 50 $batchsize | |||
| train googlenet v1 $batchsize | |||
| train alexnet 2 $batchsize $use_mkldnn | |||
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Thanks to point out. Done
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enable alexnet benchmark training and inference on MKL and openblas