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Motivation

support moore threads MUSA gpu,split PR 1.

Modification

Due to compatibility with cuda, cuda operators can be directly ported

BC-breaking (Optional)

Does the modification introduce changes that break the backward-compatibility of the downstream repositories?
If so, please describe how it breaks the compatibility and how the downstream projects should modify their code to keep compatibility with this PR.

Use cases (Optional)

If this PR introduces a new feature, it is better to list some use cases here, and update the documentation.

Checklist

Before PR:

  • I have read and followed the workflow indicated in the CONTRIBUTING.md to create this PR.
  • Pre-commit or linting tools indicated in CONTRIBUTING.md are used to fix the potential lint issues.
  • Bug fixes are covered by unit tests, the case that causes the bug should be added in the unit tests.
  • New functionalities are covered by complete unit tests. If not, please add more unit test to ensure the correctness.
  • The documentation has been modified accordingly, including docstring or example tutorials.

After PR:

  • If the modification has potential influence on downstream or other related projects, this PR should be tested with some of those projects, like MMDet or MMCls.
  • CLA has been signed and all committers have signed the CLA in this PR.

Other openmmlab supports musa PR

open-mmlab/mmengine#1453

#include "pytorch_cuda_helper.hpp"

namespace tv {
#ifdef MMCV_WITH_CUDA
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Struct GPU maybe used by other devices like MLU or NPU, this may lead to BC.

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fix,pls check.

pytest.mark.skipif(
IS_MUSA_AVAILABLE,
reason='MUSA does not support for 64-bit floating point')
]), torch.half
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weird indent

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fix, pls check,ths

@HAOCHENYE HAOCHENYE merged commit 99bae9e into open-mmlab:main Feb 27, 2025
7 of 10 checks passed
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3 participants