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What the function is about element-wise product(Hadamard product) in pytorch? #1344
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discuss.pytorch.org |
houseroad
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…8ffb52 (pytorch#11346) Summary: Pull Request resolved: pytorch#11346 Previous import was 1b09eb14c2c781fae078fa6b1c0390ba6fc0898c Included changes: - **[bff0b88](onnx/onnx@bff0b88)**: Add DynamicSlice experimental op (pytorch#1377) <James Reed> - **[91a7b8e](onnx/onnx@91a7b8e)**: statCoverage(model) (pytorch#1246) <Akshay Chalana> - **[36643c6](onnx/onnx@36643c6)**: fix the doc for softmax (pytorch#1374) <Lu Fang> - **[8c64acd](onnx/onnx@8c64acd)**: Silence usused result warning in ONNXIFI wrapper cleanup. Fix pytorch#1344 (pytorch#1371) <Marat Dukhan> - **[53b20f6](onnx/onnx@53b20f6)**: Add the ability to deprecate an OpSchema (pytorch#1317) <Ryan Hill> - **[8aec4e2](onnx/onnx@8aec4e2)**: [Anderspapitto patch] fix the shape inference for broadcasting (pytorch#1368) <Lu Fang> Reviewed By: jamesr66a Differential Revision: D9691533 fbshipit-source-id: 1a8c22262ae4946897e4be030d3f1cf3a3ad58b6
facebook-github-bot
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…8ffb52 (#11346) Summary: Pull Request resolved: #11346 Previous import was 1b09eb14c2c781fae078fa6b1c0390ba6fc0898c Included changes: - **[bff0b88](onnx/onnx@bff0b88)**: Add DynamicSlice experimental op (#1377) <James Reed> - **[91a7b8e](onnx/onnx@91a7b8e)**: statCoverage(model) (#1246) <Akshay Chalana> - **[36643c6](onnx/onnx@36643c6)**: fix the doc for softmax (#1374) <Lu Fang> - **[8c64acd](onnx/onnx@8c64acd)**: Silence usused result warning in ONNXIFI wrapper cleanup. Fix #1344 (#1371) <Marat Dukhan> - **[53b20f6](onnx/onnx@53b20f6)**: Add the ability to deprecate an OpSchema (#1317) <Ryan Hill> - **[8aec4e2](onnx/onnx@8aec4e2)**: [Anderspapitto patch] fix the shape inference for broadcasting (#1368) <Lu Fang> Reviewed By: jamesr66a Differential Revision: D9691533 fbshipit-source-id: 6aff6ce04ade37182e2ffe9bc83eb86846bc722d
PenghuiCheng
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Sep 11, 2018
…8ffb52 (pytorch#11346) Summary: Pull Request resolved: pytorch#11346 Previous import was 1b09eb14c2c781fae078fa6b1c0390ba6fc0898c Included changes: - **[bff0b88](onnx/onnx@bff0b88)**: Add DynamicSlice experimental op (pytorch#1377) <James Reed> - **[91a7b8e](onnx/onnx@91a7b8e)**: statCoverage(model) (pytorch#1246) <Akshay Chalana> - **[36643c6](onnx/onnx@36643c6)**: fix the doc for softmax (pytorch#1374) <Lu Fang> - **[8c64acd](onnx/onnx@8c64acd)**: Silence usused result warning in ONNXIFI wrapper cleanup. Fix pytorch#1344 (pytorch#1371) <Marat Dukhan> - **[53b20f6](onnx/onnx@53b20f6)**: Add the ability to deprecate an OpSchema (pytorch#1317) <Ryan Hill> - **[8aec4e2](onnx/onnx@8aec4e2)**: [Anderspapitto patch] fix the shape inference for broadcasting (pytorch#1368) <Lu Fang> Reviewed By: jamesr66a Differential Revision: D9691533 fbshipit-source-id: 6aff6ce04ade37182e2ffe9bc83eb86846bc722d
hubertlu-tw
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jithunnair-amd
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* Fix test_Conv2d_groups related errors (SWDEV-416489) This is due to incorrect atol/rtol settings for torch.half and torch.bfloat16 data types. * More adjustment on Navi 32 Co-authored-by: Xinya Zhang <Xinya.Zhang@amd.com>
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