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Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40162 The only public option is `num_worker_threads`. The other ones are private (as indicated by the leading underscore, is that enough?) and allow to specify a different set and order of transports/channels. These can thus be used to disable a backend (by not specifying it) or by forcing one (by raising its priority). They can therefore be used to work around defective backends, in case we'll find any post-release. ghstack-source-id: 106103238 Test Plan: Built //caffe2:ifbpy and, using TensorPipe's verbose logging, verified that the transports/channels I specified were indeed the ones that were being registered. Differential Revision: D22090661 fbshipit-source-id: 789bbe3bde4444cfa20c40276246e4ab67c50cd0
25 lines
810 B
Python
25 lines
810 B
Python
from datetime import timedelta
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from . import (
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_DEFAULT_INIT_METHOD,
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_DEFAULT_NUM_SEND_RECV_THREADS,
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_DEFAULT_NUM_WORKER_THREADS,
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_DEFAULT_RPC_TIMEOUT_SEC,
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_UNSET_RPC_TIMEOUT,
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)
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# For any RpcAgent.
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DEFAULT_RPC_TIMEOUT_SEC = _DEFAULT_RPC_TIMEOUT_SEC
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DEFAULT_INIT_METHOD = _DEFAULT_INIT_METHOD
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# For ProcessGroupAgent.
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DEFAULT_NUM_SEND_RECV_THREADS = _DEFAULT_NUM_SEND_RECV_THREADS
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# For TensorPipeAgent.
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DEFAULT_NUM_WORKER_THREADS = _DEFAULT_NUM_WORKER_THREADS
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# Ensure that we don't time out when there are long periods of time without
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# any operations against the underlying ProcessGroup.
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DEFAULT_PROCESS_GROUP_TIMEOUT = timedelta(milliseconds=2 ** 31 - 1)
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# Value indicating that timeout is not set for RPC call, and the default should be used.
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UNSET_RPC_TIMEOUT = _UNSET_RPC_TIMEOUT
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