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57b54dfec5
`Optimizer.zero_grad()` defines the `set_to_none` argument as `bool`, not `Optional[bool]` Fixes #ISSUE_NUMBER Pull Request resolved: https://github.com/pytorch/pytorch/pull/76998 Approved by: https://github.com/albanD
19 lines
651 B
Python
19 lines
651 B
Python
from typing import Iterable, Union, Callable, Optional, List
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from .. import Tensor
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_params_t = Union[Iterable[Tensor], Iterable[dict]]
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class Optimizer:
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defaults: dict
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state: dict
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param_groups: List[dict]
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def __init__(self, params: _params_t, default: dict) -> None: ...
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def __setstate__(self, state: dict) -> None: ...
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def state_dict(self) -> dict: ...
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def load_state_dict(self, state_dict: dict) -> None: ...
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def zero_grad(self, set_to_none: bool=...) -> None: ...
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def step(self, closure: Optional[Callable[[], float]]=...) -> Optional[float]: ...
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def add_param_group(self, param_group: dict) -> None: ...
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