Repository URL to install this package:
Version:
2.4.1 ▾
|
torch
/
types.py
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# mypy: allow-untyped-defs
import builtins
from typing import Any, List, Optional, Sequence, Tuple, Union
import torch
# Convenience aliases for common composite types that we need
# to talk about in PyTorch
_TensorOrTensors = Union[torch.Tensor, Sequence[torch.Tensor]]
_TensorOrTensorsOrGradEdge = Union[
torch.Tensor,
Sequence[torch.Tensor],
"torch.autograd.graph.GradientEdge",
Sequence["torch.autograd.graph.GradientEdge"],
]
# In some cases, these basic types are shadowed by corresponding
# top-level values. The underscore variants let us refer to these
# types. See https://github.com/python/mypy/issues/4146 for why these
# workarounds is necessary
_int = builtins.int
_float = builtins.float
_bool = builtins.bool
_complex = builtins.complex
_dtype = torch.dtype
_device = torch.device
_qscheme = torch.qscheme
_size = Union[torch.Size, List[_int], Tuple[_int, ...]]
_layout = torch.layout
_dispatchkey = Union[str, torch._C.DispatchKey]
# Meta-type for "numeric" things; matches our docs
Number = Union[builtins.int, builtins.float, builtins.bool]
# Meta-type for "device-like" things. Not to be confused with 'device' (a
# literal device object). This nomenclature is consistent with PythonArgParser.
# None means use the default device (typically CPU)
Device = Optional[Union[_device, str, _int]]
del Optional
# Storage protocol implemented by ${Type}StorageBase classes
class Storage:
_cdata: int
device: torch.device
dtype: torch.dtype
_torch_load_uninitialized: bool
def __deepcopy__(self, memo) -> "Storage": # type: ignore[empty-body]
...
def _new_shared(self, int) -> "Storage": # type: ignore[empty-body]
...
def _write_file(
self, f: Any, is_real_file: _bool, save_size: _bool, element_size: int
) -> None:
...
def element_size(self) -> int: # type: ignore[empty-body]
...
def is_shared(self) -> bool: # type: ignore[empty-body]
...
def share_memory_(self) -> "Storage": # type: ignore[empty-body]
...
def nbytes(self) -> int: # type: ignore[empty-body]
...
def cpu(self) -> "Storage": # type: ignore[empty-body]
...
def data_ptr(self) -> int: # type: ignore[empty-body]
...
def from_file(self, filename: str, shared: bool = False, nbytes: int = 0) -> "Storage": # type: ignore[empty-body]
...
def _new_with_file(self, f: Any, element_size: int) -> "Storage": # type: ignore[empty-body]
...