Automatic update of fbcode/onnx to 96c58ceeacf0f2b73d752e413e4fd78787a12da3#17676
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Automatic update of fbcode/onnx to 96c58ceeacf0f2b73d752e413e4fd78787a12da3#17676houseroad wants to merge 1 commit intopytorch:masterfrom
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…a12da3 (pytorch#17676) Summary: Pull Request resolved: pytorch#17676 Previous import was e18bb41d255a23daf368ffd62a2645db55db4c72 Included changes: - **[96c58ce](onnx/onnx@96c58ce)**: Fix shape inference when auto_pad is notset again (pytorch#1830) <Li-Wen Chang> - **[873ddbb](onnx/onnx@873ddbb)**: More extendable Runner (pytorch#1809) <Michał Karzyński> Differential Revision: D14321241 fbshipit-source-id: b2553680b3084b27755d56725a94e38b16fbeba0
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zrphercule
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petrex
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Mar 7, 2019
* upstream/master: (24 commits) Automatic update of fbcode/onnx to 96c58ceeacf0f2b73d752e413e4fd78787a12da3 (pytorch#17676) Set the default ONNX opset to the latest stable opset (i.e., 9) (pytorch#17736) Add module attributes (pytorch#17309) - refactoring serialization of ONNX initializers to be name-based (pytorch#17420) ONNX Export for Max and Average Pooling in CEIL_MODE use flake8-mypy (pytorch#17721) use fp16<->fp32 intrinsic (pytorch#17496) Implement a Caffe2 standalone LSTM operator (pytorch#17726) caffe2:libtorch_cuda depends on caffe2:caffe2_gpu (pytorch#17729) add tensor and cost inference functions (pytorch#17684) ONNX Export Narrow op Keep the dim_type of hinted shape as BATCH if possible (pytorch#17734) fix different round behavior on CPU and GPU pytorch#16498 (pytorch#17443) Warn about memory overlaps on expanded tensors (pytorch#17576) fix exp fam. formula refactor caffe2 operator constructors - 10/9 (pytorch#17659) Improve ONNX symbolic for logsoftmax and softmax (pytorch#17672) Enable using CMD when building cpp extensions on Windows Do not rename net boundary inputs/outputs during ssaRewrite. (pytorch#17545) Reapply D14078519 (pytorch#17596) ...
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Summary:
Previous import was e18bb41d255a23daf368ffd62a2645db55db4c72
Included changes:
Differential Revision: D14321241