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[Torch] Fix conv2d transpose with group - #10235

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junrushao merged 4 commits into
apache:mainfrom
masahi:torch-conv2d-transpose-group
Feb 15, 2022
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[Torch] Fix conv2d transpose with group#10235
junrushao merged 4 commits into
apache:mainfrom
masahi:torch-conv2d-transpose-group

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@masahi

@masahimasahi commented Feb 13, 2022•
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Closes#10223

According to https://github.com/pytorch/pytorch/blob/7b8f73dd32a8a893dfb794433ce501e76c53bc89/torch/nn/modules/conv.py#L127-L129,

to correctly decide the output channels attribute from the weight shape, we need to multiply weight_shape[1] by groups.

cc @comaniac@junrushao1994

@masahimasahi mentioned this pull request Feb 13, 2022
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@junrushao

junrushao commented Feb 15, 2022

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right. I noticed the same issue very recently. Thanks for fixing this!!

@junrushao
junrushao merged commit de73b99 into apache:mainFeb 15, 2022
ylc pushed a commit to ylc/tvm that referenced this pull request Feb 16, 2022
@masahi@ylc
[Torch] Fix conv2d transpose with group (apache#10235)
20e319d
* [Torch] Fix conv2d transpose with group
* lint
* wrong issue number
* do not run test on cuda
pfk-beta pushed a commit to pfk-beta/tvm that referenced this pull request Apr 11, 2022
@masahipfk-beta
[Torch] Fix conv2d transpose with group (apache#10235)
7a2ff16
* [Torch] Fix conv2d transpose with group
* lint
* wrong issue number
* do not run test on cuda
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[Bug] Conv2DTranspose with groups not working correctly

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@masahi@junrushao