[4/N] Apply ruff UP035 rule to python code (#164206)

Follows #164104

Pull Request resolved: https://github.com/pytorch/pytorch/pull/164206
Approved by: https://github.com/albanD

torch/__init__.py

@@ -22,9 +22,9 @@ import platform
 import sys
 import textwrap
 import threading
+from collections.abc import Callable as _Callable
 from typing import (
     Any as _Any,
-    Callable as _Callable,
     get_origin as _get_origin,
     Optional as _Optional,
     overload as _overload,

torch/_compile.py

@@ -4,7 +4,8 @@ circular dependencies.
 """
 
 import functools
-from typing import Callable, Optional, overload, TypeVar, Union
+from collections.abc import Callable
+from typing import Optional, overload, TypeVar, Union
 from typing_extensions import ParamSpec
 
 

torch/_guards.py

@@ -14,16 +14,7 @@ from abc import abstractmethod
 from collections import defaultdict
 from contextlib import contextmanager
 from dataclasses import dataclass
-from typing import (
-    Any,
-    Callable,
-    Generic,
-    NamedTuple,
-    Optional,
-    TYPE_CHECKING,
-    TypeVar,
-    Union,
-)
+from typing import Any, Generic, NamedTuple, Optional, TYPE_CHECKING, TypeVar, Union
 
 import torch
 from torch.utils import _pytree as pytree
@@ -36,7 +27,7 @@ log = logging.getLogger(__name__)
 
 
 if TYPE_CHECKING:
-    from collections.abc import Generator, Iterator
+    from collections.abc import Callable, Generator, Iterator
     from types import CodeType
 
     import sympy

torch/_meta_registrations.py

@@ -1,9 +1,9 @@
 # mypy: allow-untyped-defs
 import math
-from collections.abc import Sequence
+from collections.abc import Callable, Sequence
 from enum import Enum
 from functools import wraps
-from typing import Callable, Optional, TypeVar, Union
+from typing import Optional, TypeVar, Union
 from typing_extensions import ParamSpec
 
 import torch

torch/_ops.py

@@ -6,19 +6,19 @@ import importlib
 import inspect
 import sys
 import types
-from collections.abc import Iterator
+from collections.abc import Callable, Iterator
 from functools import cached_property
 from typing import (
     Any,
-    Callable,
     ClassVar,
+    Concatenate,
     final,
     Generic,
     Optional,
     TYPE_CHECKING,
     Union,
 )
-from typing_extensions import Concatenate, ParamSpec, TypeVar
+from typing_extensions import ParamSpec, TypeVar
 
 import torch
 import torch.utils._pytree as pytree

torch/_tensor.py

@@ -4,10 +4,11 @@ import enum
 import functools
 import warnings
 from collections import OrderedDict
+from collections.abc import Callable
 from copy import deepcopy
 from numbers import Number
-from typing import Any, Callable, cast, Optional, TypeVar, Union
-from typing_extensions import Concatenate, ParamSpec
+from typing import Any, cast, Concatenate, Optional, TypeVar, Union
+from typing_extensions import ParamSpec
 
 import torch
 import torch._C as _C

torch/_utils.py

@@ -7,8 +7,9 @@ import sys
 import traceback
 import warnings
 from collections import defaultdict
+from collections.abc import Callable
 from types import ModuleType
-from typing import Any, Callable, Generic, Optional, TYPE_CHECKING
+from typing import Any, Generic, Optional, TYPE_CHECKING
 from typing_extensions import deprecated, ParamSpec
 
 import torch

torch/_utils_internal.py

@@ -5,7 +5,8 @@ import os
 import sys
 import tempfile
 import typing_extensions
-from typing import Any, Callable, Optional, TypeVar
+from collections.abc import Callable
+from typing import Any, Optional, TypeVar
 from typing_extensions import ParamSpec
 
 import torch

torch/_vmap_internals.py

@@ -1,6 +1,7 @@
 # mypy: allow-untyped-defs
 import functools
-from typing import Any, Callable, Optional, Union
+from collections.abc import Callable
+from typing import Any, Optional, Union
 from typing_extensions import deprecated
 
 import torch

torch/_weights_only_unpickler.py

@@ -27,6 +27,7 @@ import warnings
 
 from _codecs import encode
 from collections import Counter, OrderedDict
+from collections.abc import Callable
 from pickle import (
     APPEND,
     APPENDS,
@@ -68,7 +69,7 @@ from pickle import (
 )
 from struct import unpack
 from sys import maxsize
-from typing import Any, Callable, Union
+from typing import Any, Union
 
 import torch
 from torch._utils import _sparse_tensors_to_validate, IMPORT_MAPPING, NAME_MAPPING

torch/ao/ns/_numeric_suite.py

@@ -1,5 +1,6 @@
 # mypy: allow-untyped-defs
-from typing import Any, Callable, Optional, Union
+from collections.abc import Callable
+from typing import Any, Optional, Union
 
 import torch
 import torch.ao.nn.quantized as nnq

torch/ao/pruning/_experimental/pruner/FPGM_pruner.py

@@ -1,5 +1,6 @@
 # mypy: allow-untyped-defs
-from typing import Callable, Optional, Union
+from collections.abc import Callable
+from typing import Optional, Union
 
 import torch
 

torch/ao/pruning/_experimental/pruner/base_structured_sparsifier.py

@@ -1,7 +1,8 @@
 # mypy: allow-untyped-defs
+from collections.abc import Callable
 from itertools import chain
 from operator import getitem
-from typing import Callable, Optional, Union
+from typing import Optional, Union
 
 import torch
 import torch.nn.functional as F

torch/ao/pruning/_experimental/pruner/prune_functions.py

@@ -4,7 +4,8 @@ Collection of conversion functions for linear / conv2d structured pruning
 Also contains utilities for bias propagation
 """
 
-from typing import Callable, cast, Optional
+from collections.abc import Callable
+from typing import cast, Optional
 
 import torch
 from torch import nn, Tensor

torch/ao/pruning/scheduler/lambda_scheduler.py

@@ -1,5 +1,6 @@
 import warnings
-from typing import Callable, Union
+from collections.abc import Callable
+from typing import Union
 
 from torch.ao.pruning.sparsifier.base_sparsifier import BaseSparsifier
 

torch/ao/pruning/sparsifier/weight_norm_sparsifier.py

@@ -1,7 +1,8 @@
 # mypy: allow-untyped-defs
 import operator
+from collections.abc import Callable
 from functools import reduce
-from typing import Callable, Optional, Union
+from typing import Optional, Union
 
 import torch
 import torch.nn.functional as F

torch/ao/quantization/__init__.py

@@ -1,7 +1,8 @@
 # mypy: allow-untyped-defs
 
 import sys
-from typing import Callable, Optional, Union
+from collections.abc import Callable
+from typing import Optional, Union
 
 import torch
 from torch import Tensor

torch/ao/quantization/backend_config/_common_operator_config_utils.py

@@ -2,7 +2,8 @@
 import copy
 import operator
 from collections import namedtuple
-from typing import Callable, Union
+from collections.abc import Callable
+from typing import Union
 
 import torch
 import torch.ao.nn.intrinsic as nni

torch/ao/quantization/backend_config/backend_config.py

@@ -3,12 +3,14 @@ from __future__ import annotations
 
 from dataclasses import dataclass
 from enum import Enum
-from typing import Any, Callable, Optional, TYPE_CHECKING, Union
+from typing import Any, Optional, TYPE_CHECKING, Union
 
 import torch
 
 
 if TYPE_CHECKING:
+    from collections.abc import Callable
+
     from torch.ao.quantization.utils import Pattern
 
 

torch/ao/quantization/backend_config/utils.py

@@ -1,5 +1,6 @@
 # mypy: allow-untyped-defs
-from typing import Any, Callable, Union
+from collections.abc import Callable
+from typing import Any, Union
 
 import torch
 import torch.nn as nn

torch/ao/quantization/experimental/adaround_optimization.py

@@ -1,6 +1,7 @@
 # mypy: allow-untyped-defs
 import copy
-from typing import Any, Callable, Optional, Union
+from collections.abc import Callable
+from typing import Any, Optional, Union
 
 import torch
 from torch.ao.quantization.experimental.adaround_fake_quantize import (

torch/ao/quantization/experimental/fake_quantize.py

@@ -1,4 +1,5 @@
-from typing import Any, Callable
+from collections.abc import Callable
+from typing import Any
 
 import torch
 from torch import Tensor

torch/ao/quantization/fuser_method_mappings.py

@@ -1,6 +1,7 @@
 # mypy: allow-untyped-defs
 import itertools
-from typing import Any, Callable, Optional, Union
+from collections.abc import Callable
+from typing import Any, Optional, Union
 
 import torch.ao.nn.intrinsic as nni
 import torch.nn as nn

torch/ao/quantization/pt2e/_numeric_debugger.py

@@ -1,8 +1,8 @@
 import copy
 import logging
-from collections.abc import Sequence
+from collections.abc import Callable, Sequence
 from dataclasses import dataclass
-from typing import Callable, Optional
+from typing import Optional
 
 import torch
 from torch.ao.ns.fx.utils import compute_sqnr

torch/ao/quantization/pt2e/graph_utils.py

@@ -2,8 +2,8 @@
 import itertools
 import operator
 from collections import OrderedDict
-from collections.abc import Sequence
-from typing import Any, Callable, Optional, Union
+from collections.abc import Callable, Sequence
+from typing import Any, Optional, Union
 
 import torch
 from torch.export import ExportedProgram

torch/ao/quantization/pt2e/qat_utils.py

@@ -3,7 +3,8 @@ import copy
 import dataclasses
 import itertools
 import operator
-from typing import Any, Callable, Optional, TYPE_CHECKING
+from collections.abc import Callable
+from typing import Any, Optional, TYPE_CHECKING
 
 import torch
 import torch.nn.functional as F

torch/ao/quantization/pt2e/representation/rewrite.py

@@ -1,7 +1,8 @@
 # mypy: allow-untyped-defs
+from collections.abc import Callable
 from dataclasses import dataclass
 from functools import partial
-from typing import Any, Callable, Optional
+from typing import Any, Optional
 
 import torch
 from torch._export.utils import _disable_aten_to_metadata_assertions

torch/ao/quantization/pt2e/utils.py

@@ -1,7 +1,8 @@
 # mypy: allow-untyped-defs
 import operator
 import types
-from typing import Any, Callable, Optional, Union
+from collections.abc import Callable
+from typing import Any, Optional, Union
 
 import torch
 import torch.ao.quantization.pt2e._affine_quantization  # noqa: F401

torch/ao/quantization/qconfig_mapping.py

@@ -2,7 +2,7 @@
 from __future__ import annotations
 
 from collections import OrderedDict
-from typing import Any, Callable, Union
+from typing import Any, TYPE_CHECKING, Union
 
 import torch
 
@@ -26,6 +26,10 @@ from .qconfig import (
 )
 
 
+if TYPE_CHECKING:
+    from collections.abc import Callable
+
+
 __all__ = [
     "get_default_qconfig_mapping",
     "get_default_qat_qconfig_mapping",

torch/ao/quantization/quantization_mappings.py

@@ -1,5 +1,6 @@
 import copy
-from typing import Any, Callable, Optional, Union
+from collections.abc import Callable
+from typing import Any, Optional, Union
 
 import torch
 import torch.ao.nn as ao_nn

torch/ao/quantization/quantizer/quantizer.py

@@ -1,7 +1,8 @@
 # mypy: allow-untyped-defs
 from abc import ABC, abstractmethod
+from collections.abc import Callable
 from dataclasses import dataclass, field
-from typing import Annotated, Callable, Optional, Union
+from typing import Annotated, Optional, Union
 
 import torch
 from torch import Tensor

torch/ao/quantization/quantizer/utils.py

@@ -1,4 +1,5 @@
-from typing import Callable, Optional
+from collections.abc import Callable
+from typing import Optional
 
 from torch.ao.quantization.pt2e.utils import _is_sym_size_node
 from torch.ao.quantization.quantizer.quantizer import (

torch/ao/quantization/quantizer/x86_inductor_quantizer.py

@@ -3,10 +3,9 @@ import functools
 import itertools
 import operator
 import warnings
-from collections.abc import Sequence
+from collections.abc import Callable, Sequence
 from dataclasses import dataclass
-from typing import Any, Callable, Optional, TYPE_CHECKING, Union
-from typing_extensions import TypeAlias
+from typing import Any, Optional, TYPE_CHECKING, TypeAlias, Union
 
 import torch
 import torch.nn.functional as F

torch/ao/quantization/quantizer/xnnpack_quantizer.py

@@ -4,7 +4,7 @@ from __future__ import annotations
 import copy
 import functools
 import typing_extensions
-from typing import Any, Callable, Optional, TYPE_CHECKING
+from typing import Any, Optional, TYPE_CHECKING
 
 import torch
 import torch._dynamo as torchdynamo
@@ -35,6 +35,8 @@ from torch.fx._compatibility import compatibility
 
 
 if TYPE_CHECKING:
+    from collections.abc import Callable
+
     from torch.ao.quantization.qconfig import _ObserverOrFakeQuantizeConstructor
     from torch.fx import Node
 

torch/ao/quantization/quantizer/xnnpack_quantizer_utils.py

@@ -1,8 +1,9 @@
 # mypy: allow-untyped-defs
 import itertools
 import typing
+from collections.abc import Callable
 from dataclasses import dataclass
-from typing import Callable, NamedTuple, Optional
+from typing import NamedTuple, Optional
 
 import torch
 import torch.nn.functional as F

torch/ao/quantization/utils.py

@@ -7,8 +7,9 @@ import functools
 import sys
 import warnings
 from collections import OrderedDict
+from collections.abc import Callable
 from inspect import getfullargspec, signature
-from typing import Any, Callable, Optional, Union
+from typing import Any, Optional, Union
 
 import torch
 from torch.ao.quantization.quant_type import QuantType

torch/autograd/function.py

@@ -4,8 +4,9 @@ import inspect
 import itertools
 import warnings
 from collections import OrderedDict
-from typing import Any, Callable, Optional, TypeVar
-from typing_extensions import Concatenate, deprecated, ParamSpec
+from collections.abc import Callable
+from typing import Any, Concatenate, Optional, TypeVar
+from typing_extensions import deprecated, ParamSpec
 
 import torch
 import torch._C as _C

torch/autograd/gradcheck.py

@@ -2,9 +2,9 @@
 import collections
 import functools
 import warnings
-from collections.abc import Iterable
+from collections.abc import Callable, Iterable
 from itertools import product
-from typing import Callable, Optional, Union
+from typing import Optional, Union
 from typing_extensions import deprecated
 
 import torch

torch/autograd/graph.py

@@ -4,18 +4,24 @@ import functools
 import logging
 import threading
 from collections import defaultdict, deque
-from collections.abc import Generator, Iterable, Iterator, MutableMapping, Sequence
+from collections.abc import (
+    Callable,
+    Generator,
+    Iterable,
+    Iterator,
+    MutableMapping,
+    Sequence,
+)
 from typing import (
     Any,
-    Callable,
     cast,
     Literal,
     NamedTuple,
     Optional,
     TYPE_CHECKING,
+    TypeAlias,
     Union,
 )
-from typing_extensions import TypeAlias
 from weakref import WeakKeyDictionary, WeakValueDictionary
 
 import torch

torch/cuda/__init__.py

@@ -17,8 +17,9 @@ import sys
 import threading
 import traceback
 import warnings
+from collections.abc import Callable
 from functools import lru_cache
-from typing import Any, Callable, cast, NewType, Optional, TYPE_CHECKING, Union
+from typing import Any, cast, NewType, Optional, TYPE_CHECKING, Union
 
 import torch
 import torch._C

torch/cuda/_gpu_trace.py

@@ -1,4 +1,4 @@
-from typing import Callable
+from collections.abc import Callable
 
 from torch._utils import CallbackRegistry
 

torch/cuda/gds.py

@@ -1,6 +1,7 @@
 import os
 import sys
-from typing import Callable, Optional
+from collections.abc import Callable
+from typing import Optional
 
 import torch
 from torch.types import Storage

torch/cuda/graphs.py

@@ -2,8 +2,9 @@ from __future__ import annotations
 
 import gc
 import typing
-from typing import Callable, Optional, overload, TYPE_CHECKING, Union
-from typing_extensions import ParamSpec, Self, TypeAlias, TypeVar
+from collections.abc import Callable
+from typing import Optional, overload, TYPE_CHECKING, TypeAlias, Union
+from typing_extensions import ParamSpec, Self, TypeVar
 
 import torch
 from torch import Tensor

torch/cuda/jiterator.py

@@ -1,6 +1,6 @@
 # mypy: allow-untyped-defs
 import re
-from typing import Callable
+from collections.abc import Callable
 
 import torch
 from torch import Tensor

torch/library.py

@@ -6,8 +6,8 @@ import re
 import sys
 import traceback
 import weakref
-from collections.abc import Sequence
-from typing import Any, Callable, Optional, overload, TYPE_CHECKING, TypeVar, Union
+from collections.abc import Callable, Sequence
+from typing import Any, Optional, overload, TYPE_CHECKING, TypeVar, Union
 from typing_extensions import deprecated, ParamSpec
 
 import torch

torch/onnx/__init__.py

@@ -14,7 +14,7 @@ __all__ = [
     "ONNXProgram",
 ]
 
-from typing import Any, Callable, TYPE_CHECKING
+from typing import Any, TYPE_CHECKING
 
 import torch
 from torch._C import _onnx as _C_onnx
@@ -45,7 +45,7 @@ from .errors import OnnxExporterError
 
 if TYPE_CHECKING:
     import os
-    from collections.abc import Collection, Mapping, Sequence
+    from collections.abc import Callable, Collection, Mapping, Sequence
 
 # Set namespace for exposed private names
 ONNXProgram.__module__ = "torch.onnx"

torch/onnx/_internal/exporter/_capture_strategies.py

@@ -9,7 +9,7 @@ import dataclasses
 import datetime
 import logging
 import pathlib
-from typing import Any, Callable, TYPE_CHECKING
+from typing import Any, TYPE_CHECKING
 
 import torch
 from torch.onnx import _flags
@@ -17,6 +17,7 @@ from torch.onnx import _flags
 
 if TYPE_CHECKING:
     import os
+    from collections.abc import Callable
 
 
 logger = logging.getLogger(__name__)

torch/onnx/_internal/exporter/_compat.py

@@ -7,8 +7,8 @@ from __future__ import annotations
 import io
 import logging
 import warnings
-from collections.abc import Mapping, Sequence
-from typing import Any, Callable, TYPE_CHECKING
+from collections.abc import Callable, Mapping, Sequence
+from typing import Any, TYPE_CHECKING
 
 import torch
 from torch.onnx import _constants as onnx_constants

torch/onnx/_internal/exporter/_core.py

@@ -12,8 +12,8 @@ import pathlib
 import textwrap
 import traceback
 import typing
-from collections.abc import Mapping, Sequence
-from typing import Any, Callable, Literal
+from collections.abc import Callable, Mapping, Sequence
+from typing import Any, Literal
 
 import onnxscript
 import onnxscript.evaluator

torch/onnx/_internal/exporter/_decomp.py

@@ -2,13 +2,15 @@
 from __future__ import annotations
 
 import itertools
-from typing import Callable, TYPE_CHECKING
+from typing import TYPE_CHECKING
 
 import torch
 import torch._ops
 
 
 if TYPE_CHECKING:
+    from collections.abc import Callable
+
     from torch.onnx._internal.exporter import _registration
 
 

torch/onnx/_internal/exporter/_dispatching.py

@@ -2,8 +2,8 @@
 from __future__ import annotations
 
 import logging
-from collections.abc import Sequence
-from typing import Any, Callable
+from collections.abc import Callable, Sequence
+from typing import Any
 
 from onnxscript import ir
 

torch/onnx/_internal/exporter/_flags.py

@@ -3,10 +3,14 @@
 from __future__ import annotations
 
 import functools
-from typing import Callable, TypeVar
+from typing import TYPE_CHECKING, TypeVar
 from typing_extensions import ParamSpec
 
 
+if TYPE_CHECKING:
+    from collections.abc import Callable
+
+
 _is_onnx_exporting = False
 
 # Use ParamSpec to preserve parameter types instead of erasing to Any

torch/onnx/_internal/exporter/_isolated.py

@@ -5,10 +5,14 @@ from __future__ import annotations
 import multiprocessing
 import os
 import warnings
-from typing import Any, Callable, TypeVar, TypeVarTuple, Union, Unpack
+from typing import Any, TYPE_CHECKING, TypeVar, TypeVarTuple, Union, Unpack
 from typing_extensions import ParamSpec
 
 
+if TYPE_CHECKING:
+    from collections.abc import Callable
+
+
 _P = ParamSpec("_P")
 _R = TypeVar("_R")
 _Ts = TypeVarTuple("_Ts")

torch/onnx/_internal/exporter/_onnx_program.py

@@ -13,8 +13,8 @@ import os
 import tempfile
 import textwrap
 import warnings
-from collections.abc import Sequence
-from typing import Any, Callable, TYPE_CHECKING
+from collections.abc import Callable, Sequence
+from typing import Any, TYPE_CHECKING
 
 import torch
 from torch.onnx._internal._lazy_import import onnx, onnxscript_apis, onnxscript_ir as ir

torch/onnx/_internal/exporter/_registration.py

@@ -18,8 +18,8 @@ import logging
 import math
 import operator
 import types
-from typing import Callable, Literal, Union
-from typing_extensions import TypeAlias
+from collections.abc import Callable
+from typing import Literal, TypeAlias, Union
 
 import torch
 import torch._ops

torch/onnx/_internal/exporter/_torchlib/_torchlib_registry.py

@@ -8,8 +8,8 @@ from __future__ import annotations
 __all__ = ["onnx_impl", "get_torchlib_ops"]
 
 import logging
-from collections.abc import Sequence
-from typing import Any, Callable, TypeVar
+from collections.abc import Callable, Sequence
+from typing import Any, TypeVar
 from typing_extensions import ParamSpec
 
 import onnxscript

torch/onnx/_internal/torchscript_exporter/registration.py

@@ -2,8 +2,8 @@
 """Module for handling symbolic function registration."""
 
 import warnings
-from collections.abc import Collection, Sequence
-from typing import Callable, Generic, Optional, TypeVar, Union
+from collections.abc import Callable, Collection, Sequence
+from typing import Generic, Optional, TypeVar, Union
 from typing_extensions import ParamSpec
 
 from torch.onnx import _constants, errors

torch/onnx/_internal/torchscript_exporter/symbolic_helper.py

@@ -103,8 +103,14 @@ import math
 import sys
 import typing
 import warnings
-from typing import Any, Callable, Literal, NoReturn, TypeVar as _TypeVar
-from typing_extensions import Concatenate as _Concatenate, ParamSpec as _ParamSpec
+from typing import (
+    Any,
+    Concatenate as _Concatenate,
+    Literal,
+    NoReturn,
+    TypeVar as _TypeVar,
+)
+from typing_extensions import ParamSpec as _ParamSpec
 
 import torch
 import torch._C._onnx as _C_onnx
@@ -115,7 +121,7 @@ from torch.onnx._internal.torchscript_exporter._globals import GLOBALS
 
 
 if typing.TYPE_CHECKING:
-    from collections.abc import Sequence
+    from collections.abc import Callable, Sequence
 
     from torch.types import Number
 

torch/onnx/_internal/torchscript_exporter/symbolic_opset9.py

@@ -14,7 +14,7 @@ import functools
 import math
 import sys
 import warnings
-from typing import Callable, TYPE_CHECKING
+from typing import TYPE_CHECKING
 from typing_extensions import deprecated
 
 import torch
@@ -33,7 +33,7 @@ from torch.onnx._internal.torchscript_exporter._globals import GLOBALS
 
 
 if TYPE_CHECKING:
-    from collections.abc import Sequence
+    from collections.abc import Callable, Sequence
 
     from torch.types import Number
 

torch/onnx/_internal/torchscript_exporter/utils.py

@@ -62,7 +62,7 @@ import inspect
 import re
 import typing
 import warnings
-from typing import Any, Callable, cast
+from typing import Any, cast
 from typing_extensions import deprecated
 
 import torch
@@ -80,7 +80,7 @@ from torch.onnx._internal.torchscript_exporter._globals import GLOBALS
 
 
 if typing.TYPE_CHECKING:
-    from collections.abc import Collection, Mapping, Sequence
+    from collections.abc import Callable, Collection, Mapping, Sequence
 
 
 # TODO(justinchuby): Remove dependency to this global variable from constant_fold.cpp

torch/onnx/ops/__init__.py

@@ -17,14 +17,14 @@ __all__ = [
 ]
 
 
-from typing import Callable, TYPE_CHECKING
+from typing import TYPE_CHECKING
 
 import torch
 from torch.onnx.ops import _impl, _symbolic_impl
 
 
 if TYPE_CHECKING:
-    from collections.abc import Sequence
+    from collections.abc import Callable, Sequence
 
 
 # https://github.com/onnx/onnx/blob/f542e1f06699ea7e1db5f62af53355b64338c723/onnx/onnx.proto#L597

torch/onnx/ops/_impl.py

@@ -1,6 +1,7 @@
 # flake8: noqa: B950
 import math
-from typing import Callable, Optional, TypeVar
+from collections.abc import Callable
+from typing import Optional, TypeVar
 from typing_extensions import ParamSpec
 
 import torch

torch/overrides.py

@@ -27,9 +27,9 @@ import contextlib
 import functools
 import types
 import warnings
-from collections.abc import Iterable
+from collections.abc import Callable, Iterable
 from functools import wraps
-from typing import Any, Callable, Optional, TypeVar
+from typing import Any, Optional, TypeVar
 from typing_extensions import ParamSpec
 
 import torch

torch/serialization.py

@@ -13,10 +13,11 @@ import tarfile
 import tempfile
 import threading
 import warnings
+from collections.abc import Callable
 from contextlib import closing, contextmanager
 from enum import Enum
-from typing import Any, Callable, cast, Generic, IO, Optional, TypeVar, Union
-from typing_extensions import TypeAlias, TypeIs
+from typing import Any, cast, Generic, IO, Optional, TypeAlias, TypeVar, Union
+from typing_extensions import TypeIs
 
 import torch
 import torch._weights_only_unpickler as _weights_only_unpickler

torch/types.py

@@ -12,8 +12,8 @@ from builtins import (  # noqa: F401
     str as _str,
 )
 from collections.abc import Sequence
-from typing import Any, IO, TYPE_CHECKING, Union
-from typing_extensions import Self, TypeAlias
+from typing import Any, IO, TYPE_CHECKING, TypeAlias, Union
+from typing_extensions import Self
 
 # `as` imports have better static analysis support than assignment `ExposedType: TypeAlias = HiddenType`
 from torch import (  # noqa: F401