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superleo
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- docs/develop/musa_gpu_support.md: design, architecture, build, testing
- 3rdparty/gpus/test_cuda_regression.sh: verify CUDA not regressed
- 3rdparty/gpus/test_musa_build.sh: validate MUSA build layout
- 3rdparty/gpus/test_musa_python_compat.py: Python device abstraction
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wangxiyu191
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通过抽象出_device_mod和GpuStream等来实现兼容不同GPU运行环境的方式很合理。可以按照这个思路来实现MUSA兼容。
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- docs/develop/musa_gpu_support.md: design, architecture, build, testing - 3rdparty/gpus/test_cuda_regression.sh: verify CUDA not regressed - 3rdparty/gpus/test_musa_build.sh: validate MUSA build layout - 3rdparty/gpus/test_musa_python_compat.py: Python device abstraction
…device-agnostic connectors
- .bazelrc, WORKSPACE, 3rdparty/gpus/musa/: add MUSA toolchain and bazel config
(build:musa, build:client_with_musa, musa_configure repository rule)
- client/sdk: MUSA SDK utils (musa_util.h, hf3fs_musa_util.h), buffer check
(sdk_buffer_check_util_musa.{mu,cc}), and genrule for mcc compilation
- client/sdk: MUSA branches in local_file_sdk, transfer_client_impl, hf3fs_sdk,
hf3fs_usrbio_client for stream/memcpy/host-register
- py_connector: device-agnostic GPU module (_get_device_module for cuda/musa),
conditional tl.float8e4nv fallback in batch_gather_scatter_helper
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…ns to the sdk_buffer_check_util target.
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