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Posted to issues@mahout.apache.org by "viiccwen (via GitHub)" <gi...@apache.org> on 2026/04/22 10:46:16 UTC

[I] [Testing] Add DLPack regression tests for CUDA batch angle encoding in qdp-python [mahout]

viiccwen opened a new issue, #1280:
URL: https://github.com/apache/mahout/issues/1280

   ### What
   
   Add regression tests for DLPack and zero-copy interoperability on CUDA batch angle encoding paths in qdp-python.
   
   Recent work added batch `float32` CUDA angle encoding support in the Python bindings. This follow-up should strengthen regression coverage around the Python <-> PyTorch handoff for that path.
   
   ### Why
   
   One of the main reasons to use the CUDA tensor path is zero-copy integration through DLPack.
   
   The current feature tests cover correctness and validation behavior, but they do not fully protect interoperability expectations such as:
   - compatibility with `torch.from_dlpack(...)`
   - output device placement
   - output dtype following engine precision
   - output shape for batched inputs
   
   A dedicated regression layer here would make the zero-copy workflow safer to evolve.
   
   ### How
   
   - add qdp-python tests that consume CUDA batch angle outputs through `torch.from_dlpack(...)`
   - assert expected device, dtype, and shape
   - include at least one deterministic batch case for state-value sanity checks
   - keep the scope limited to DLPack / interop regression coverage
   


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Re: [I] [Testing] Add DLPack regression tests for CUDA batch angle encoding in qdp-python [mahout]

Posted by "viiccwen (via GitHub)" <gi...@apache.org>.
viiccwen closed issue #1280: [Testing] Add DLPack regression tests for CUDA batch angle encoding in qdp-python
URL: https://github.com/apache/mahout/issues/1280


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