chore: import upstream snapshot with attribution
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.. _apimultiprocessing:
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dgl.multiprocessing
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===================
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This is a minimal wrapper of Python's native :mod:`multiprocessing` module.
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It modifies the :class:`multiprocessing.Process` class to make forking
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work with OpenMP in the DGL core library.
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The API usage is exactly the same as the native module, so DGL does not provide
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additional documentation.
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In addition, if your backend is PyTorch, this module will also be compatible with
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:mod:`torch.multiprocessing` module.
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.. currentmodule:: dgl.multiprocessing.pytorch
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.. autosummary::
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:toctree: ../../generated/
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call_once_and_share
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shared_tensor
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