Add op(unfold) | feat(torchlib) #893
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@@ Coverage Diff @@
## main #893 +/- ##
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+ Coverage 76.70% 76.73% +0.03%
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Files 112 112
Lines 13524 13549 +25
Branches 1366 1369 +3
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+ Hits 10373 10397 +24
Misses 2810 2810
- Partials 341 342 +1
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…oft/onnxscript into xiaowu/addOp(aten_unfold)
xiaowuhu
changed the title
justinchuby
reviewed
Jul 18, 2023
| self_rank = self_rank + 1 | ||
| # perm need to be list[int], so have to be generated in trace_only mode | ||
| perm = list(range(self_rank)) | ||
| perm.append(perm.pop(dimension + 1)) |
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Would be great to add a comment to explain this logic, thanks!
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Why do we do this though? What does it mean? Is there a reference logic?
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- similar but different in detail: https://github.com/pytorch/pytorch/blob/a8f40b39ce4f9fa9ffd90400b7d10ea4051d623a/torch/onnx/symbolic_opset12.py#L390
- the same logic:
justinchuby
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…oft/onnxscript into xiaowu/addOp(aten_unfold)
justinchuby
approved these changes
Jul 19, 2023
BowenBao
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Jul 19, 2023
justinchuby
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from: #534