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1fd119948e
Changes: - #95200 1. Recognize `.py.in` and `.pyi.in` files as Python in VS Code for a better development experience. 2. Fix deep setting merge in `tools/vscode_settings.py`. - #95267 3. Use `Namedtuple` rather than `namedtuple + __annotations__` for `torch.nn.utils.rnn.PackedSequence_`: `namedtuple + __annotations__`: ```python PackedSequence_ = namedtuple('PackedSequence_', ['data', 'batch_sizes', 'sorted_indices', 'unsorted_indices']) # type annotation for PackedSequence_ to make it compatible with TorchScript PackedSequence_.__annotations__ = {'data': torch.Tensor, 'batch_sizes': torch.Tensor, 'sorted_indices': Optional[torch.Tensor], 'unsorted_indices': Optional[torch.Tensor]} ``` `Namedtuple`: Python 3.6+ ```python class PackedSequence_(NamedTuple): data: torch.Tensor batch_sizes: torch.Tensor sorted_indices: Optional[torch.Tensor] unsorted_indices: Optional[torch.Tensor] ``` - => this PR: #95268 4. Sort import statements and remove unnecessary imports in `.pyi`, `.pyi.in` files. 5. Format `.pyi`, `.pyi.in` files and remove unnecessary ellipsis `...` in type stubs. Pull Request resolved: https://github.com/pytorch/pytorch/pull/95268 Approved by: https://github.com/huydhn
40 lines
1.0 KiB
Python
40 lines
1.0 KiB
Python
from typing import Dict, List
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import torch
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from ._distributed_c10d import ProcessGroup, Store
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from ._distributed_rpc import (
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_TensorPipeRpcBackendOptionsBase,
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TensorPipeAgent,
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WorkerInfo,
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)
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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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): ...
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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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): ...
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