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52 lines
1.9 KiB
Python
52 lines
1.9 KiB
Python
#
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# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# Modifications Copyright (c) 2025-2026, Advanced Micro Devices, Inc. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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#
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# See LICENSE.txt for more license information
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#
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"""
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nccl4py: Python bindings for RCCL on ROCm (AMD fork of NVIDIA nccl4py).
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nccl4py provides Pythonic access to RCCL (the ROCm Communication Collectives
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Library, AMD's drop-in replacement for NVIDIA NCCL) for efficient multi-GPU
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and multi-node communication. It supports all NCCL/RCCL collective operations,
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point-to-point communication, and advanced features like buffer registration
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and custom reduction operators.
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"""
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from nccl._version import __version__
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# Register the local HIP-backed cuda.core shim under the `cuda.core`
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# namespace via sys.modules. Idempotent and gated on
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# `"cuda.core" not in sys.modules`, so it is a no-op if a real
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# cuda-core / cuda-bindings package has already populated the
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# namespace. After this runs, `from cuda.core import ...` resolves
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# to the HIP shim. The shim is **not** shipped as a regular
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# top-level `cuda` package on disk (a regular non-PEP-420
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# `cuda/__init__.py` would shadow co-installed distributions that
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# legitimately contribute to `cuda.*`), so users must `import nccl`
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# before reaching `cuda.core`.
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from nccl._hip_compat.cuda_core_shim import _register_as_cuda_core as _register_cuda_core_shim
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_register_cuda_core_shim()
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del _register_cuda_core_shim
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# Re-export get_version() lazily. Importing nccl alone does not load
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# librccl.so — that happens only on first access of ``nccl.get_version``
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# or any ``nccl.bindings.*`` symbol. Keeps `import nccl` cheap.
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def __getattr__(name):
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if name == "get_version":
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from nccl.bindings import get_version
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return get_version
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raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
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__all__ = [
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"__version__",
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"get_version",
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]
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