Pytorch2onnx which can be used for DIM and GCA model #105
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@@ Coverage Diff @@
## master #105 +/- ##
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+ Coverage 82.43% 82.45% +0.02%
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Files 143 143
Lines 6591 6610 +19
Branches 980 980
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+ Hits 5433 5450 +17
- Misses 1060 1062 +2
Partials 98 98
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hejm37
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mmedit/models/backbones/encoder_decoders/decoders/plain_decoder.py
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mmedit/models/backbones/encoder_decoders/decoders/plain_decoder.py
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wchstrife
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* add pytorch2onnx for DIM * support convert to ONNX for GCA * use forward_dummy for onnx export * remove useless comment * retrieve useless modify * Updating according to the latest mmcv * modify the comment * add docstring * Fix docstring dot Co-authored-by: Jiamin <1052020748@qq.com>
Yshuo-Li
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* add pytorch2onnx for DIM * support convert to ONNX for GCA * use forward_dummy for onnx export * remove useless comment * retrieve useless modify * Updating according to the latest mmcv * modify the comment * add docstring * Fix docstring dot Co-authored-by: Jiamin <1052020748@qq.com>
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This PR support exporting DIM and GCA into ONNX format and comparing the execution results between Pytorch and ONNX.
However, as there is some bug in ONNX runtime, the results between Pytorch and ONNX for DIM may be different