Comments (7)
- A common practice is to merge batchnorm into conv when inference
- ResNet has only 1 pooling layer.
- 2X is in terms of FLOPs, not GPU real time
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@yihui-he
1.merge batchnorm into conv when inference
--answer: The maximum increase was 10% in speed.
2.2X is in terms of FLOPs, not GPU real time,
--problem: how about your paper to practice?
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We only compared GPU acceleration on VGG-16.
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So it was not suit to ResNet to prune.
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yes, It should be full rank.
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@eeric Hi,you said that "yes, It should be full rank.",do you mean the rankdic in code should be set as the same as the output channel of the resnet? Or how should I change it for resnet? Thank you so much!
In the author's the code for vgg the rankdic is as follows:
rankdic = {'conv1_1': 17,
'conv1_2': 17,
'conv2_1': 37,
'conv2_2': 47,
'conv3_1': 83,
'conv3_2': 89,
'conv3_3': 106,
'conv4_1': 175,
'conv4_2': 192,
'conv4_3': 227,
'conv5_1': 398,
'conv5_2': 390,
'conv5_3': 379}
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Related Issues (20)
- has AMC released? HOT 4
- the model size is not descreased after channel pruning? HOT 1
- GPU HOT 2
- HI, @yihui-he ,i have a queation to ask you:
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