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"""torch.multiprocessing is a wrapper around the native :mod:`multiprocessing` module. |
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It registers custom reducers, that use shared memory to provide shared |
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views on the same data in different processes. Once the tensor/storage is moved |
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to shared_memory (see :func:`~torch.Tensor.share_memory_`), it will be possible |
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to send it to other processes without making any copies. |
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The API is 100% compatible with the original module - it's enough to change |
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``import multiprocessing`` to ``import torch.multiprocessing`` to have all the |
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tensors sent through the queues or shared via other mechanisms, moved to shared |
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memory. |
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Because of the similarity of APIs we do not document most of this package |
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contents, and we recommend referring to very good docs of the original module. |
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""" |
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import multiprocessing |
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import sys |
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import torch |
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from .reductions import init_reductions |
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__all__ = ["set_sharing_strategy", "get_sharing_strategy", "get_all_sharing_strategies"] |
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from multiprocessing import * |
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__all__ += multiprocessing.__all__ |
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torch._C._multiprocessing_init() |
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"""Add helper function to spawn N processes and wait for completion of any of |
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them. This depends `mp.get_context` which was added in Python 3.4.""" |
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from .spawn import ( |
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ProcessContext, |
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ProcessExitedException, |
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ProcessRaisedException, |
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spawn, |
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SpawnContext, |
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start_processes, |
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) |
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if sys.platform == "darwin" or sys.platform == "win32": |
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_sharing_strategy = "file_system" |
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_all_sharing_strategies = {"file_system"} |
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else: |
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_sharing_strategy = "file_descriptor" |
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_all_sharing_strategies = {"file_descriptor", "file_system"} |
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def set_sharing_strategy(new_strategy): |
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"""Set the strategy for sharing CPU tensors. |
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Args: |
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new_strategy (str): Name of the selected strategy. Should be one of |
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the values returned by :func:`get_all_sharing_strategies()`. |
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""" |
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global _sharing_strategy |
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assert new_strategy in _all_sharing_strategies |
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_sharing_strategy = new_strategy |
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def get_sharing_strategy(): |
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"""Return the current strategy for sharing CPU tensors.""" |
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return _sharing_strategy |
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def get_all_sharing_strategies(): |
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"""Return a set of sharing strategies supported on a current system.""" |
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return _all_sharing_strategies |
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init_reductions() |
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