"""
torch.multiprocessing is a wrapper around the native :mod:`multiprocessing`
module. It registers custom reducers, that use shared memory to provide shared
views on the same data in different processes. Once the tensor/storage is moved
to shared_memory (see :func:`~torch.Tensor.share_memory_`), it will be possible
to send it to other processes without making any copies.
The API is 100% compatible with the original module - it's enough to change
``import multiprocessing`` to ``import torch.multiprocessing`` to have all the
tensors sent through the queues or shared via other mechanisms, moved to shared
memory.
Because of the similarity of APIs we do not document most of this package
contents, and we recommend referring to very good docs of the original module.
"""
import sys
from .reductions import init_reductions
import multiprocessing
__all__ = ['set_sharing_strategy', 'get_sharing_strategy',
'get_all_sharing_strategies']
from multiprocessing import *
__all__ += multiprocessing.__all__
if sys.version_info < (3, 3):
"""Override basic classes in Python 2.7 and Python 3.3 to use ForkingPickler
for serialization. Later versions of Python already use ForkingPickler."""
from .queue import Queue, SimpleQueue
from .pool import Pool
if sys.platform == 'darwin':
_sharing_strategy = 'file_system'
_all_sharing_strategies = {'file_system'}
else:
_sharing_strategy = 'file_descriptor'
_all_sharing_strategies = {'file_descriptor', 'file_system'}
[docs]def set_sharing_strategy(new_strategy):
"""Sets the strategy for sharing CPU tensors.
Arguments:
new_strategy (str): Name of the selected strategy. Should be one of
the values returned by :func:`get_all_sharing_strategies()`.
"""
global _sharing_strategy
assert new_strategy in _all_sharing_strategies
_sharing_strategy = new_strategy
[docs]def get_sharing_strategy():
"""Returns the current strategy for sharing CPU tensors."""
return _sharing_strategy
[docs]def get_all_sharing_strategies():
"""Returns a set of sharing strategies supported on a current system."""
return _all_sharing_strategies
init_reductions()