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56935684c3
------ - [Generic TypeAlias (PEP 585)](https://peps.python.org/pep-0585): e.g. `typing.List[T] -> list[T]`, `typing.Dict[KT, VT] -> dict[KT, VT]`, `typing.Type[T] -> type[T]`. - [Union Type (PEP 604)](https://peps.python.org/pep-0604): e.g. `Union[X, Y] -> X | Y`, `Optional[X] -> X | None`, `Optional[Union[X, Y]] -> X | Y | None`. Note that in `.pyi` stub files, we do not need `from __future__ import annotations`. So this PR does not violate issue #117449: - #117449 Pull Request resolved: https://github.com/pytorch/pytorch/pull/129419 Approved by: https://github.com/ezyang ghstack dependencies: #129375, #129376
33 lines
1017 B
Python
33 lines
1017 B
Python
import torch
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from torch._C._distributed_c10d import Store
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from torch._C._distributed_rpc import _TensorPipeRpcBackendOptionsBase, TensorPipeAgent
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# This module is defined in torch/csrc/distributed/rpc/testing/init.cpp
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class FaultyTensorPipeRpcBackendOptions(_TensorPipeRpcBackendOptionsBase):
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def __init__(
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self,
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num_worker_threads: int,
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rpc_timeout: float,
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init_method: str,
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messages_to_fail: list[str],
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messages_to_delay: dict[str, float],
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num_fail_sends: int,
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) -> None: ...
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num_send_recv_threads: int
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messages_to_fail: list[str]
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messages_to_delay: dict[str, float]
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num_fail_sends: int
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class FaultyTensorPipeAgent(TensorPipeAgent):
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def __init__(
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self,
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store: Store,
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name: str,
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rank: int,
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world_size: int,
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options: FaultyTensorPipeRpcBackendOptions,
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reverse_device_maps: dict[str, dict[torch.device, torch.device]],
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devices: list[torch.device],
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) -> None: ...
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