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Fix group transpose conv2d #9443

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alicja-SiMa-ai
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@alicja-SiMa-ai alicja-SiMa-ai commented Nov 4, 2021

Shape of weights was incorrectly set for grouped transposed conv2D and implementation of the grouped transposed conv2D was missing. As a result, some models were not supported. Please see example of the CenterNet model here with error messagein particular dimension 1 conflicts 0 does not match 1; unable to unify: Tensor[(256, 0, 4, 4), float32] and Tensor[(256, 1, 4, 4), float32].
This PR adds missing implementation and required tests.

cc @comaniac

Change includes topi implementation, tests, generic and x86
strategy for group transposed convolution.

Signed-off-by: Alicja Kwasniewska <alicja.kwasniewska@sima.ai>
@alicja-SiMa-ai alicja-SiMa-ai force-pushed the fix/group_transpose_conv2d branch from 7aa2efa to 8eb15b7 Compare November 5, 2021 04:18
@AndrewZhaoLuo
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Hmm is this perhaps related to #9336 ?

@alicja-SiMa-ai
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@AndrewZhaoLuo #9336 changes the layout conversion. This PR addresses a different issue, it adds implementation of group transpose convolution 2D which was missing and fixes weight shape to support groups.

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@junrushao
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@Lyken17 @alicja-SiMa-ai just to double check, is this commit superseded via this commit 3ad7c4a? Thanks!

@alicja-SiMa-ai
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Yes @junrushao1994, it was integrated into #9465. Closing this one. Thanks everyone!

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Thank you @alicja-SiMa-ai for the huge effort!! This is super helpful!

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4 participants