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[MXNET-97] implement DepthwiseConv2dBackwardFilterKernel from tensorflow codebase#10098
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piiswrong merged 1 commit intoapache:masterfrom Mar 16, 2018
Merged
[MXNET-97] implement DepthwiseConv2dBackwardFilterKernel from tensorflow codebase#10098piiswrong merged 1 commit intoapache:masterfrom
piiswrong merged 1 commit intoapache:masterfrom
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…e, which is over 5x faster
Contributor
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Tensorflow has also a 32x32 DepthwiseConv when feature maps are small. Could you add that too? |
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@chinakook hi, the special path for small maps has already been implemented in mxnet. |
jinhuang415
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Mar 30, 2018
…e, which is over 5x faster (apache#10098)
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rahul003
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Jun 4, 2018
…e, which is over 5x faster (apache#10098)
zheng-da
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Jun 28, 2018
…e, which is over 5x faster (apache#10098)
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implement DepthwiseConv2dBackwardFilterKernel from tensorflow codebase, which is over 5x faster
Description
The current mxnet implementation calls __syncthreads() function too much, which is extemely slow.
The new code comes from tensorflow, but the variable names are adjusted for consistency.
My model uses depthwise conv heavily, and now its training time per iteration is over 5x faster on single P40 gpu. ( old 92s vs new 18s )
Checklist
Essentials
make lint)