V-aerus opened a new pull request, #19937:
URL: https://github.com/apache/tvm/pull/19937
This PR fixes the PyTorch ExportedProgram importer lowering for
`torch.masked_select`.
Previously, `masked_select` lowered to:
- flatten data and mask
- `nonzero(mask_flat)`
- `squeeze(axis=[0])`
- `take(data_flat, indices)`
However, the result of `R.nonzero` only carried rank information. The
following `R.squeeze` over the dynamic nonzero output could remain unhandled
during build/VM execution.
This PR inserts a `match_cast` after `R.nonzero` using the exported output
metadata, preserving the dynamic selected-length dimension before `squeeze`.
A numerical regression test is also added to cover:
PyTorch eager -> torch.export -> Relax import -> build -> VM run -> output
comparison
Testing:
- `python -m pytest -q
tests/python/relax/test_frontend_from_exported_program.py -k 'masked_select'`
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