add depthwise conv support for mkldnn #8782
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mingfeima
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apaszke,
colesbury,
ezyang,
gchanan,
soumith and
zdevito
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hi, how can i run the test? Traceback (most recent call last):
File "onnx_backend_test.py", line 12, in <module>
import onnx.backend.test
ModuleNotFoundError: No module named 'onnx' |
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@pytorchbot retest this please |
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@cpuhrsch guys, could you please review this one? |
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soumith
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Jul 10, 2018
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@mingfeima - Could you rebase on top of current master one more time? |
Change-Id: I3836dacc63afc1b5e31b1d706bba6bb13699ba41
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after rebase, there is 1 failing in CI, previously no such failing. |
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@mingfeima don't worry! It's not your fault. We got you covered. Thanks for the PR, by the way. |
zdevito
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Summary: Change-Id: I3836dacc63afc1b5e31b1d706bba6bb13699ba41 beneficial for depth wise convolution on CPU, such as mobilenet, etc. Pull Request resolved: pytorch/pytorch#8782 Reviewed By: SsnL Differential Revision: D8790869 Pulled By: ezyang fbshipit-source-id: 29f410763ce403c2438fc527aa354ff02e1829bf
zdevito
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Summary: Change-Id: I3836dacc63afc1b5e31b1d706bba6bb13699ba41 beneficial for depth wise convolution on CPU, such as mobilenet, etc. Pull Request resolved: pytorch/pytorch#8782 Reviewed By: SsnL Differential Revision: D8790869 Pulled By: ezyang fbshipit-source-id: 29f410763ce403c2438fc527aa354ff02e1829bf
petrex
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Jul 16, 2018
* upstream/master: (24 commits) Implement tensor weak references (pytorch#9363) Nuke TestCollectEnv (pytorch#9459) Add test case for segmentation fault fix in grad_fn (pytorch#9457) Add peephole optimization for type_as operators. (pytorch#9316) Fix out-of-range error for test_neg (pytorch#9431) add depthwise conv support for mkldnn (pytorch#8782) Refactor `_log_sum_exp` (pytorch#9173) Add ModuleDict and ParameterDict containers (pytorch#8463) Introduce SupervisedPtr, delete THAllocator and THCDeviceAllocator (pytorch#9358) Introducing IsInf (pytorch#9169) add device to CUDAEvent (pytorch#9415) Make localScalar error message more intuitive (pytorch#9443) Only accept continguous tensors in TopK for cuda (pytorch#9441) Add support for .norm() pytorch onnx export and ReduceL1/ReduceL2 caffe2 operators (pytorch#9299) Only view() rhs of index_put if we need to (pytorch#9424) Add BatchBucketizeOp in caffe2 (pytorch#9385) Implementation of Wngrad optimizer caffe2 python wrapper and unit test on least square regression (pytorch#9001) Implementation and operator test for Wngrad optimizer (pytorch#8999) Fix segmentation fault in grad_fn (pytorch#9292) update docs (pytorch#9423) ...
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Jul 20, 2018
Summary: Change-Id: I3836dacc63afc1b5e31b1d706bba6bb13699ba41 beneficial for depth wise convolution on CPU, such as mobilenet, etc. Pull Request resolved: pytorch#8782 Reviewed By: SsnL Differential Revision: D8790869 Pulled By: ezyang fbshipit-source-id: 29f410763ce403c2438fc527aa354ff02e1829bf
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Jul 30, 2018
Summary: Change-Id: I3836dacc63afc1b5e31b1d706bba6bb13699ba41 beneficial for depth wise convolution on CPU, such as mobilenet, etc. Pull Request resolved: pytorch#8782 Reviewed By: SsnL Differential Revision: D8790869 Pulled By: ezyang fbshipit-source-id: 29f410763ce403c2438fc527aa354ff02e1829bf
goodlux
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Aug 15, 2018
Summary: Change-Id: I3836dacc63afc1b5e31b1d706bba6bb13699ba41 beneficial for depth wise convolution on CPU, such as mobilenet, etc. Pull Request resolved: pytorch#8782 Reviewed By: SsnL Differential Revision: D8790869 Pulled By: ezyang fbshipit-source-id: 29f410763ce403c2438fc527aa354ff02e1829bf
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Change-Id: I3836dacc63afc1b5e31b1d706bba6bb13699ba41
beneficial for depth wise convolution on CPU, such as mobilenet, etc.