/aosp_15_r20/external/python/cpython2/Doc/includes/ |
D | mp_synchronize.py | 11 import multiprocessing # may get overwritten 21 print '\n\t\t\t' + str(multiprocessing.current_process()) + ' has finished' 27 running = multiprocessing.Value('i', TASKS) 28 mutex = multiprocessing.Lock() 31 p = multiprocessing.Process(target=value_func, args=(running, mutex)) 54 q = multiprocessing.Queue() 56 p = multiprocessing.Process(target=queue_func, args=(q,)) 83 cond = multiprocessing.Condition() 85 p = multiprocessing.Process(target=condition_func, args=(cond,)) 123 print '%s has finished' % multiprocessing.current_process() [all …]
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D | mp_benchmarks.py | 8 import time, sys, multiprocessing, threading, Queue, gc 72 c, d = multiprocessing.Pipe() 73 cond = multiprocessing.Condition() 80 p = multiprocessing.Process(target=pipe_func, 183 manager = multiprocessing.Manager() 191 test_queuespeed(multiprocessing.Process, multiprocessing.Queue(), 192 multiprocessing.Condition()) 194 test_queuespeed(multiprocessing.Process, manager.Queue(), 206 test_seqspeed(multiprocessing.Array('i', range(10), lock=False)) 208 test_seqspeed(multiprocessing.Array('i', range(10), lock=True)) [all …]
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D | mp_pool.py | 8 import multiprocessing 20 multiprocessing.current_process().name, 49 print 'cpu_count() = %d\n' % multiprocessing.cpu_count() 57 pool = multiprocessing.Pool(PROCESSES) 196 except multiprocessing.TimeoutError: 209 except multiprocessing.TimeoutError: 266 pool = multiprocessing.Pool(2) 284 pool = multiprocessing.Pool(2) 301 multiprocessing.freeze_support() 309 import multiprocessing.dummy as multiprocessing namespace
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/aosp_15_r20/external/python/cpython2/Lib/multiprocessing/ |
D | __init__.py | 64 from multiprocessing.process import Process, current_process, active_children 65 from multiprocessing.util import SUBDEBUG, SUBWARNING 97 from multiprocessing.managers import SyncManager 106 from multiprocessing.connection import Pipe 144 from multiprocessing.forking import freeze_support 151 from multiprocessing.util import get_logger 158 from multiprocessing.util import log_to_stderr 165 from multiprocessing import reduction 175 from multiprocessing.synchronize import Lock 182 from multiprocessing.synchronize import RLock [all …]
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/aosp_15_r20/external/python/cpython3/Lib/test/ |
D | _test_multiprocessing.py | 45 import multiprocessing.connection 46 import multiprocessing.dummy 47 import multiprocessing.heap 48 import multiprocessing.managers 49 import multiprocessing.pool 50 import multiprocessing.queues 52 from multiprocessing import util 55 from multiprocessing import reduction 61 from multiprocessing.sharedctypes import Value, copy 67 from multiprocessing import shared_memory [all …]
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D | _test_venv_multiprocessing.py | 1 import multiprocessing 17 queue = multiprocessing.Queue() 18 fill_pool = multiprocessing.Process( 22 drain_pool = multiprocessing.Process( 33 test_pool = multiprocessing.Process(target=test_func)
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/aosp_15_r20/external/python/cpython2/Lib/test/ |
D | test_multiprocessing.py | 30 import multiprocessing.dummy 31 import multiprocessing.connection 32 import multiprocessing.managers 33 import multiprocessing.heap 34 import multiprocessing.pool 36 from multiprocessing import util 39 from multiprocessing import reduction 45 from multiprocessing.sharedctypes import Value, copy 283 cpus = multiprocessing.cpu_count() 304 from multiprocessing import forking [all …]
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/aosp_15_r20/external/python/cpython2/Doc/library/ |
D | multiprocessing.rst | 1 :mod:`multiprocessing` --- Process-based "threading" interface 4 .. module:: multiprocessing 13 :mod:`multiprocessing` is a package that supports spawning processes using an 14 API similar to the :mod:`threading` module. The :mod:`multiprocessing` package 17 to this, the :mod:`multiprocessing` module allows the programmer to fully 21 The :mod:`multiprocessing` module also introduces APIs which do not have 30 from multiprocessing import Pool 47 In :mod:`multiprocessing`, processes are spawned by creating a :class:`Process` 52 from multiprocessing import Process 64 from multiprocessing import Process [all …]
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/aosp_15_r20/external/python/cpython3/Doc/library/ |
D | multiprocessing.rst | 1 :mod:`multiprocessing` --- Process-based parallelism 4 .. module:: multiprocessing 7 **Source code:** :source:`Lib/multiprocessing/` 16 :mod:`multiprocessing` is a package that supports spawning processes using an 17 API similar to the :mod:`threading` module. The :mod:`multiprocessing` package 21 to this, the :mod:`multiprocessing` module allows the programmer to fully 25 The :mod:`multiprocessing` module also introduces APIs which do not have 27 :class:`~multiprocessing.pool.Pool` object which offers a convenient means of 32 of data parallelism using :class:`~multiprocessing.pool.Pool`, :: 34 from multiprocessing import Pool [all …]
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D | multiprocessing.shared_memory.rst | 1 :mod:`multiprocessing.shared_memory` --- Shared memory for direct access across processes 4 .. module:: multiprocessing.shared_memory 7 **Source code:** :source:`Lib/multiprocessing/shared_memory.py` 22 processes, a :class:`~multiprocessing.managers.BaseManager` subclass, 24 ``multiprocessing.managers`` module. 104 >>> from multiprocessing import shared_memory 137 >>> from multiprocessing import shared_memory 153 >>> from multiprocessing import shared_memory 179 :module: multiprocessing.managers 181 A subclass of :class:`~multiprocessing.managers.BaseManager` which can be [all …]
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/aosp_15_r20/external/python/cpython2/Doc/tools/ |
D | susp-ignored.csv | 80 library/multiprocessing,,:queue,">>> QueueManager.register('get_queue', callable=lambda:queue)" 81 library/multiprocessing,,`,">>> l._callmethod('__getitem__', (20,)) # equiv to `l[20]`" 82 library/multiprocessing,,`,">>> l._callmethod('__getslice__', (2, 7)) # equiv to `l[2:7]`" 83 library/multiprocessing,,`,# `BaseManager`. 84 library/multiprocessing,,`,# `Pool.imap()` (which will save on the amount of code needed anyway). 85 library/multiprocessing,,`,# A test file for the `multiprocessing` package 86 library/multiprocessing,,`,# A test of `multiprocessing.Pool` class 87 library/multiprocessing,,`,# Add more tasks using `put()` 88 library/multiprocessing,,`,# in the original order then consider using `Pool.map()` or 89 library/multiprocessing,,`,# Not sure if we should synchronize access to `socket.accept()` method by [all …]
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/aosp_15_r20/external/pytorch/docs/source/ |
H A D | multiprocessing.rst | 5 Multiprocessing package - torch.multiprocessing 8 .. automodule:: torch.multiprocessing 9 .. currentmodule:: torch.multiprocessing 14 Python's ``multiprocessing`` sometimes fails to clean up its children. 142 To counter the problem of shared memory file leaks, :mod:`torch.multiprocessing` 160 ``multiprocessing`` package. 177 .. automodule:: torch.multiprocessing.spawn 178 .. currentmodule:: torch.multiprocessing.spawn 182 .. currentmodule:: torch.multiprocessing 194 .. py:module:: torch.multiprocessing.pool [all …]
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/aosp_15_r20/external/pytorch/docs/source/notes/ |
H A D | multiprocessing.rst | 6 :mod:`torch.multiprocessing` is a drop in replacement for Python's 7 :mod:`python:multiprocessing` module. It supports the exact same operations, 9 :class:`python:multiprocessing.Queue`, will have their data moved into shared 27 CUDA in multiprocessing 35 ``multiprocessing.get_context(...)`` or directly using 36 ``multiprocessing.set_start_method(...)``. 44 :ref:`this section <multiprocessing-cuda-sharing-details>`. 60 libraries do - no need to look further than :mod:`python:multiprocessing`. 61 :class:`python:multiprocessing.Queue` is actually a very complex class, that 64 try using a :class:`~python:multiprocessing.queues.SimpleQueue`, that doesn't [all …]
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/aosp_15_r20/external/toolchain-utils/bestflags/ |
H A D | pipeline_process.py | 13 import multiprocessing 20 class PipelineProcess(multiprocessing.Process): 71 multiprocessing.Process.__init__(self) 85 manager = multiprocessing.Manager() 99 work_pool = multiprocessing.Pool(self._num_processes) 102 helper_process = multiprocessing.Process(
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H A D | steering_test.py | 11 import multiprocessing 112 manager = multiprocessing.Manager() 116 steering_process = multiprocessing.Process( 162 manager = multiprocessing.Manager() 166 steering_process = multiprocessing.Process(
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/aosp_15_r20/external/pytorch/test/distributed/rpc/ |
H A D | test_share_memory.py | 18 import torch.multiprocessing.reductions as TorchMpReductions 19 from torch import multiprocessing 27 prev_strategy = multiprocessing.get_sharing_strategy() 28 multiprocessing.set_sharing_strategy("file_system") 32 multiprocessing.set_sharing_strategy(prev_strategy) 68 r = multiprocessing.spawn(worker_loop, join=False)
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/aosp_15_r20/external/python/cpython3/Doc/includes/ |
D | mp_pool.py | 1 import multiprocessing 13 multiprocessing.current_process().name, 45 with multiprocessing.Pool(PROCESSES) as pool: 132 except multiprocessing.TimeoutError: 145 except multiprocessing.TimeoutError: 152 multiprocessing.freeze_support()
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/aosp_15_r20/external/tensorflow/tensorflow/python/distribute/ |
H A D | multi_process_lib.py | 17 import multiprocessing 60 multiprocessing.context.ForkServerProcess): 66 class AbslForkServerContext(multiprocessing.context.ForkServerContext): 70 multiprocessing = AbslForkServerContext() variable 71 Process = multiprocessing.Process 126 multiprocessing.get_context().set_executable(sys.argv[0])
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/aosp_15_r20/external/pytorch/docs/source/elastic/ |
H A D | subprocess_handler.rst | 6 .. automodule:: torch.distributed.elastic.multiprocessing.subprocess_handler 7 .. automodule:: torch.distributed.elastic.multiprocessing.subprocess_handler.subprocess_handler 8 .. automodule:: torch.distributed.elastic.multiprocessing.subprocess_handler.handlers 13 .. autofunction:: torch.distributed.elastic.multiprocessing.subprocess_handler.handlers.get_subproc… 18 .. currentmodule:: torch.distributed.elastic.multiprocessing.subprocess_handler.subprocess_handler
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/aosp_15_r20/external/chromium-trace/catapult/common/py_utils/py_utils/ |
H A D | lock_unittest.py | 9 import multiprocessing 64 p = multiprocessing.Process( 95 p = multiprocessing.Process( 116 p = multiprocessing.Process( 134 p = multiprocessing.Process( 153 p = multiprocessing.Process( 162 p = multiprocessing.Process(
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/aosp_15_r20/external/llvm/utils/lit/lit/ |
H A D | run.py | 16 import multiprocessing 18 multiprocessing = None variable 118 self.queue = multiprocessing.Queue() 215 if jobs != 1 and use_processes and multiprocessing: 217 task_impl = multiprocessing.Process 218 queue_impl = multiprocessing.Queue 219 canceled_flag = multiprocessing.Value('i', 0)
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/aosp_15_r20/external/autotest/site_utils/ |
H A D | rpc_flight_recorder.py | 12 import multiprocessing 98 pool = multiprocessing.Pool(processes=multiprocessing.cpu_count() * 4) 125 self._manager = multiprocessing.Manager() 137 self._stop_event = multiprocessing.Event() 144 self._update_shards_ps = multiprocessing.Process( 156 self._poll_rpc_server_ps = multiprocessing.Process(
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/aosp_15_r20/external/grpc-grpc/examples/python/multiprocessing/ |
H A D | README.md | 5 Unfortunately, using multiprocessing and gRPC Python is not yet as simple as 27 _PROCESS_COUNT = multiprocessing.cpu_count() 41 bazel run //examples/python/multiprocessing:server & 59 bazel run //examples/python/multiprocessing:client -- [SERVER_ADDRESS] 65 bazel run //examples/python/multiprocessing:client -- [::]:33915 72 cd examples/python/multiprocessing
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/aosp_15_r20/external/autotest/utils/frozen_chromite/lib/ |
H A D | parallel.py | 15 import multiprocessing 16 from multiprocessing.managers import SyncManager 124 class _BackgroundTask(multiprocessing.Process): 176 multiprocessing.Process.__init__(self) 180 self._started = multiprocessing.Event() 181 self._killing = multiprocessing.Event() 392 return multiprocessing.Process.start(self) 534 semaphore = multiprocessing.Semaphore(max_parallel) 749 processes = multiprocessing.cpu_count() 805 processes = min(max(16, multiprocessing.cpu_count()), len(inputs))
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/aosp_15_r20/external/vixl/tools/ |
H A D | threaded_tests.py | 28 import multiprocessing 42 n_tests_passed = multiprocessing.Value('i', 0) 43 n_tests_failed = multiprocessing.Value('i', 0) 44 n_tests_skipped = multiprocessing.Value('i', 0) 45 manager = multiprocessing.Manager()
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