diff --git a/tools/linter/adapters/ufmt_linter.py b/tools/linter/adapters/ufmt_linter.py
index a58c656b3d73..27ad2e001c36 100644
--- a/tools/linter/adapters/ufmt_linter.py
+++ b/tools/linter/adapters/ufmt_linter.py
@@ -56,7 +56,6 @@ ISORT_SKIPLIST = re.compile(
                     # torch/[e-n]*/**
                     "torch/[e-n]*/**",
                     # torch/[o-z]*/**
-                    "torch/[o-z]*/**",
                 ],
             ),
         )
diff --git a/torch/onnx/__init__.py b/torch/onnx/__init__.py
index 212dd5968399..6d7d5b0ee8b2 100644
--- a/torch/onnx/__init__.py
+++ b/torch/onnx/__init__.py
@@ -3,7 +3,29 @@ from torch import _C
 from torch._C import _onnx as _C_onnx
 from torch._C._onnx import OperatorExportTypes, TensorProtoDataType, TrainingMode
 
-from . import (  # usort:skip. Keep the order instead of sorting lexicographically
+from ._exporter_states import ExportTypes
+from ._internal.onnxruntime import (
+    is_onnxrt_backend_supported,
+    OrtBackend as _OrtBackend,
+    OrtBackendOptions as _OrtBackendOptions,
+    OrtExecutionProvider as _OrtExecutionProvider,
+)
+from ._type_utils import JitScalarType
+from .errors import CheckerError  # Backwards compatibility
+from .utils import (
+    _optimize_graph,
+    _run_symbolic_function,
+    _run_symbolic_method,
+    export,
+    export_to_pretty_string,
+    is_in_onnx_export,
+    register_custom_op_symbolic,
+    select_model_mode_for_export,
+    unregister_custom_op_symbolic,
+)
+
+
+from . import (  # usort: skip. Keep the order instead of sorting lexicographically
     _deprecation,
     errors,
     symbolic_caffe2,
@@ -25,22 +47,8 @@ from . import (  # usort:skip. Keep the order instead of sorting lexicographical
     utils,
 )
 
-from ._exporter_states import ExportTypes
-from ._type_utils import JitScalarType
-from .errors import CheckerError  # Backwards compatibility
-from .utils import (
-    _optimize_graph,
-    _run_symbolic_function,
-    _run_symbolic_method,
-    export,
-    export_to_pretty_string,
-    is_in_onnx_export,
-    register_custom_op_symbolic,
-    select_model_mode_for_export,
-    unregister_custom_op_symbolic,
-)
 
-from ._internal.exporter import (  # usort:skip. needs to be last to avoid circular import
+from ._internal.exporter import (  # usort: skip. needs to be last to avoid circular import
     DiagnosticOptions,
     ExportOptions,
     ONNXProgram,
@@ -53,12 +61,6 @@ from ._internal.exporter import (  # usort:skip. needs to be last to avoid circu
     enable_fake_mode,
 )
 
-from ._internal.onnxruntime import (
-    is_onnxrt_backend_supported,
-    OrtBackend as _OrtBackend,
-    OrtBackendOptions as _OrtBackendOptions,
-    OrtExecutionProvider as _OrtExecutionProvider,
-)
 
 __all__ = [
     # Modules
diff --git a/torch/onnx/_deprecation.py b/torch/onnx/_deprecation.py
index c2aa295c4d4d..24fe4ccc54fc 100644
--- a/torch/onnx/_deprecation.py
+++ b/torch/onnx/_deprecation.py
@@ -6,6 +6,7 @@ import warnings
 from typing import Callable, TypeVar
 from typing_extensions import ParamSpec
 
+
 _T = TypeVar("_T")
 _P = ParamSpec("_P")
 
diff --git a/torch/onnx/_internal/diagnostics/__init__.py b/torch/onnx/_internal/diagnostics/__init__.py
index cae5b247d5cd..a3eab565a20e 100644
--- a/torch/onnx/_internal/diagnostics/__init__.py
+++ b/torch/onnx/_internal/diagnostics/__init__.py
@@ -9,6 +9,7 @@ from ._diagnostic import (
 from ._rules import rules
 from .infra import levels
 
+
 __all__ = [
     "TorchScriptOnnxExportDiagnostic",
     "ExportDiagnosticEngine",
diff --git a/torch/onnx/_internal/diagnostics/_diagnostic.py b/torch/onnx/_internal/diagnostics/_diagnostic.py
index 5fbd9719bed3..6100033d6bae 100644
--- a/torch/onnx/_internal/diagnostics/_diagnostic.py
+++ b/torch/onnx/_internal/diagnostics/_diagnostic.py
@@ -7,12 +7,12 @@ import gzip
 from typing import TYPE_CHECKING
 
 import torch
-
 from torch.onnx._internal.diagnostics import infra
 from torch.onnx._internal.diagnostics.infra import formatter, sarif
 from torch.onnx._internal.diagnostics.infra.sarif import version as sarif_version
 from torch.utils import cpp_backtrace
 
+
 if TYPE_CHECKING:
     from collections.abc import Generator
 
diff --git a/torch/onnx/_internal/diagnostics/_rules.py b/torch/onnx/_internal/diagnostics/_rules.py
index 3b2ca727d0d1..1d353d2e88b3 100644
--- a/torch/onnx/_internal/diagnostics/_rules.py
+++ b/torch/onnx/_internal/diagnostics/_rules.py
@@ -13,6 +13,7 @@ from typing import Tuple
 # flake8: noqa
 from torch.onnx._internal.diagnostics import infra
 
+
 """
 GENERATED CODE - DO NOT EDIT DIRECTLY
 The purpose of generating a class for each rule is to override the `format_message`
diff --git a/torch/onnx/_internal/diagnostics/infra/__init__.py b/torch/onnx/_internal/diagnostics/infra/__init__.py
index 6eb6bb444dff..ddcd4891643a 100644
--- a/torch/onnx/_internal/diagnostics/infra/__init__.py
+++ b/torch/onnx/_internal/diagnostics/infra/__init__.py
@@ -14,6 +14,7 @@ from ._infra import (
 )
 from .context import Diagnostic, DiagnosticContext, RuntimeErrorWithDiagnostic
 
+
 __all__ = [
     "Diagnostic",
     "DiagnosticContext",
diff --git a/torch/onnx/_internal/diagnostics/infra/context.py b/torch/onnx/_internal/diagnostics/infra/context.py
index 33c1f7efb19b..36ae4207b427 100644
--- a/torch/onnx/_internal/diagnostics/infra/context.py
+++ b/torch/onnx/_internal/diagnostics/infra/context.py
@@ -4,14 +4,10 @@
 from __future__ import annotations
 
 import contextlib
-
 import dataclasses
 import gzip
-
 import logging
-
 from typing import Callable, Generator, Generic, Literal, Mapping, TypeVar
-
 from typing_extensions import Self
 
 from torch.onnx._internal.diagnostics import infra
diff --git a/torch/onnx/_internal/diagnostics/infra/formatter.py b/torch/onnx/_internal/diagnostics/infra/formatter.py
index 72155c40843a..5abb698dafce 100644
--- a/torch/onnx/_internal/diagnostics/infra/formatter.py
+++ b/torch/onnx/_internal/diagnostics/infra/formatter.py
@@ -7,7 +7,6 @@ import traceback
 from typing import Any, Callable, Union
 
 from torch._logging import LazyString
-
 from torch.onnx._internal.diagnostics.infra import sarif
 
 
diff --git a/torch/onnx/_internal/diagnostics/infra/sarif/__init__.py b/torch/onnx/_internal/diagnostics/infra/sarif/__init__.py
index 34fd40e5b938..a01b2abeef9b 100644
--- a/torch/onnx/_internal/diagnostics/infra/sarif/__init__.py
+++ b/torch/onnx/_internal/diagnostics/infra/sarif/__init__.py
@@ -97,4 +97,5 @@ from torch.onnx._internal.diagnostics.infra.sarif._version_control_details impor
 from torch.onnx._internal.diagnostics.infra.sarif._web_request import WebRequest
 from torch.onnx._internal.diagnostics.infra.sarif._web_response import WebResponse
 
+
 # flake8: noqa
diff --git a/torch/onnx/_internal/diagnostics/infra/sarif/version.py b/torch/onnx/_internal/diagnostics/infra/sarif/version.py
index 2beddcb3f042..a9b2c9d8fa07 100644
--- a/torch/onnx/_internal/diagnostics/infra/sarif/version.py
+++ b/torch/onnx/_internal/diagnostics/infra/sarif/version.py
@@ -1,5 +1,6 @@
 from typing import Final
 
+
 SARIF_VERSION: Final = "2.1.0"
 SARIF_SCHEMA_LINK: Final = "https://docs.oasis-open.org/sarif/sarif/v2.1.0/cs01/schemas/sarif-schema-2.1.0.json"
 # flake8: noqa
diff --git a/torch/onnx/_internal/diagnostics/infra/utils.py b/torch/onnx/_internal/diagnostics/infra/utils.py
index f3aa38ee1009..a5d49c38968f 100644
--- a/torch/onnx/_internal/diagnostics/infra/utils.py
+++ b/torch/onnx/_internal/diagnostics/infra/utils.py
@@ -1,7 +1,6 @@
 from __future__ import annotations
 
 import functools
-
 import inspect
 import traceback
 from typing import Any, Callable, Mapping, Sequence
diff --git a/torch/onnx/_internal/exporter.py b/torch/onnx/_internal/exporter.py
index 7c7203c80851..135319ab76f0 100644
--- a/torch/onnx/_internal/exporter.py
+++ b/torch/onnx/_internal/exporter.py
@@ -4,12 +4,10 @@ from __future__ import (  # for onnx.ModelProto (ONNXProgram) and onnxruntime (O
 )
 
 import abc
-
 import contextlib
 import dataclasses
 import logging
 import os
-
 import tempfile
 import warnings
 from collections import defaultdict
@@ -27,11 +25,9 @@ from typing import (
 from typing_extensions import Self
 
 import torch
-
 import torch._ops
 import torch.export as torch_export
 import torch.utils._pytree as pytree
-
 from torch.onnx._internal import io_adapter
 from torch.onnx._internal.diagnostics import infra
 from torch.onnx._internal.fx import (
@@ -41,6 +37,7 @@ from torch.onnx._internal.fx import (
     serialization as fx_serialization,
 )
 
+
 # We can only import onnx from this module in a type-checking context to ensure that
 # 'import torch.onnx' continues to work without having 'onnx' installed. We fully
 # 'import onnx' inside of dynamo_export (by way of _assert_dependencies).
@@ -48,6 +45,7 @@ if TYPE_CHECKING:
     import io
 
     import onnx
+
     import onnxruntime  # type: ignore[import]
     import onnxscript  # type: ignore[import]
     from onnxscript.function_libs.torch_lib import (  # type: ignore[import]
@@ -55,7 +53,6 @@ if TYPE_CHECKING:
     )
 
     from torch._subclasses import fake_tensor
-
     from torch.onnx._internal.fx import diagnostics
 
 _DEFAULT_OPSET_VERSION: Final[int] = 18
diff --git a/torch/onnx/_internal/fx/_pass.py b/torch/onnx/_internal/fx/_pass.py
index ff527afdb556..870b4549d30c 100644
--- a/torch/onnx/_internal/fx/_pass.py
+++ b/torch/onnx/_internal/fx/_pass.py
@@ -2,23 +2,20 @@
 from __future__ import annotations
 
 import abc
-
 import contextlib
 import dataclasses
 import difflib
-
 import io
 import logging
 import sys
-
 from typing import Any, Callable, TYPE_CHECKING
 
 import torch
 import torch.fx
 from torch.fx.experimental.proxy_tensor import maybe_disable_fake_tensor_mode
-
 from torch.onnx._internal.fx import diagnostics, onnxfunction_dispatcher
 
+
 if TYPE_CHECKING:
     from torch._subclasses import fake_tensor
 
diff --git a/torch/onnx/_internal/fx/analysis/__init__.py b/torch/onnx/_internal/fx/analysis/__init__.py
index 406a8d4ac9e2..4440cf66939b 100644
--- a/torch/onnx/_internal/fx/analysis/__init__.py
+++ b/torch/onnx/_internal/fx/analysis/__init__.py
@@ -1,5 +1,6 @@
 from .unsupported_nodes import UnsupportedFxNodesAnalysis
 
+
 __all__ = [
     "UnsupportedFxNodesAnalysis",
 ]
diff --git a/torch/onnx/_internal/fx/decomposition_skip.py b/torch/onnx/_internal/fx/decomposition_skip.py
index c3230c1d64a0..aae663906cd5 100644
--- a/torch/onnx/_internal/fx/decomposition_skip.py
+++ b/torch/onnx/_internal/fx/decomposition_skip.py
@@ -15,7 +15,6 @@ from __future__ import annotations
 
 import abc
 import contextlib
-
 from typing import Callable, Sequence
 
 from onnxscript.function_libs.torch_lib.ops import (  # type: ignore[import-not-found]
@@ -26,6 +25,7 @@ from onnxscript.function_libs.torch_lib.ops import (  # type: ignore[import-not-
 import torch
 from torch._decomp import decompositions
 
+
 _NEW_OP_NAMESPACE: str = "onnx_export"
 """The namespace for the custom operator."""
 
diff --git a/torch/onnx/_internal/fx/decomposition_table.py b/torch/onnx/_internal/fx/decomposition_table.py
index 43e384c3a2dc..6ca128da11e4 100644
--- a/torch/onnx/_internal/fx/decomposition_table.py
+++ b/torch/onnx/_internal/fx/decomposition_table.py
@@ -8,7 +8,6 @@ from typing import Callable
 import torch
 import torch._ops
 import torch.fx
-
 from torch.onnx._internal.fx import registration
 
 
diff --git a/torch/onnx/_internal/fx/diagnostics.py b/torch/onnx/_internal/fx/diagnostics.py
index fd3668fddaee..8617afa5f440 100644
--- a/torch/onnx/_internal/fx/diagnostics.py
+++ b/torch/onnx/_internal/fx/diagnostics.py
@@ -2,9 +2,7 @@
 from __future__ import annotations
 
 import dataclasses
-
 import functools
-
 from typing import Any, TYPE_CHECKING
 
 import onnxscript  # type: ignore[import]
@@ -17,6 +15,7 @@ from torch.onnx._internal.diagnostics import infra
 from torch.onnx._internal.diagnostics.infra import decorator, formatter
 from torch.onnx._internal.fx import registration, type_utils as fx_type_utils
 
+
 if TYPE_CHECKING:
     import logging
 
diff --git a/torch/onnx/_internal/fx/fx_onnx_interpreter.py b/torch/onnx/_internal/fx/fx_onnx_interpreter.py
index 1fd4e6fb4043..8247ce338466 100644
--- a/torch/onnx/_internal/fx/fx_onnx_interpreter.py
+++ b/torch/onnx/_internal/fx/fx_onnx_interpreter.py
@@ -16,7 +16,6 @@ from onnxscript.function_libs.torch_lib import (  # type: ignore[import]
 import torch
 import torch.fx
 from torch.onnx import _type_utils as jit_type_utils
-
 from torch.onnx._internal.fx import (
     _pass,
     diagnostics,
diff --git a/torch/onnx/_internal/fx/fx_symbolic_graph_extractor.py b/torch/onnx/_internal/fx/fx_symbolic_graph_extractor.py
index 3bce25bb3ea3..ec05a718fb3c 100644
--- a/torch/onnx/_internal/fx/fx_symbolic_graph_extractor.py
+++ b/torch/onnx/_internal/fx/fx_symbolic_graph_extractor.py
@@ -2,16 +2,15 @@
 from __future__ import annotations
 
 import functools
-
 from typing import Any, Callable, Mapping, Sequence
 
 import torch
 import torch.fx
 import torch.onnx
-
 import torch.onnx._internal.fx.passes as passes
 from torch.onnx._internal import exporter, io_adapter
 
+
 # Functions directly wrapped to produce torch.fx.Proxy so that symbolic
 # data can flow through those functions. Python functions (e.g., `torch.arange`)
 # not defined by pybind11 in C++ do not go though Python dispatcher, so
diff --git a/torch/onnx/_internal/fx/onnxfunction_dispatcher.py b/torch/onnx/_internal/fx/onnxfunction_dispatcher.py
index 23a6ef7c7416..23dca4227b55 100644
--- a/torch/onnx/_internal/fx/onnxfunction_dispatcher.py
+++ b/torch/onnx/_internal/fx/onnxfunction_dispatcher.py
@@ -11,13 +11,13 @@ from typing import Any, Callable, Sequence, TYPE_CHECKING
 import torch
 import torch._ops
 import torch.fx
-
 from torch.onnx._internal.fx import (
     diagnostics,
     registration,
     type_utils as fx_type_utils,
 )
 
+
 if TYPE_CHECKING:
     import onnxscript  # type: ignore[import]
     from onnxscript.function_libs.torch_lib import (  # type: ignore[import]
diff --git a/torch/onnx/_internal/fx/op_validation.py b/torch/onnx/_internal/fx/op_validation.py
index 10cb8e923584..15b2aa12e71f 100644
--- a/torch/onnx/_internal/fx/op_validation.py
+++ b/torch/onnx/_internal/fx/op_validation.py
@@ -13,7 +13,6 @@ import torch
 import torch.fx
 from torch.fx.experimental import symbolic_shapes
 from torch.onnx import _constants, _type_utils as jit_type_utils
-
 from torch.onnx._internal.fx import (
     diagnostics,
     fx_onnx_interpreter,
diff --git a/torch/onnx/_internal/fx/passes/__init__.py b/torch/onnx/_internal/fx/passes/__init__.py
index 7f9cdfd16cfa..aa04e6beb5f1 100644
--- a/torch/onnx/_internal/fx/passes/__init__.py
+++ b/torch/onnx/_internal/fx/passes/__init__.py
@@ -5,6 +5,7 @@ from .readability import RestoreParameterAndBufferNames
 from .type_promotion import InsertTypePromotion
 from .virtualization import MovePlaceholderToFront, ReplaceGetAttrWithPlaceholder
 
+
 __all__ = [
     "Decompose",
     "InsertTypePromotion",
diff --git a/torch/onnx/_internal/fx/passes/_utils.py b/torch/onnx/_internal/fx/passes/_utils.py
index 60326c17315b..fc35e24b1bee 100644
--- a/torch/onnx/_internal/fx/passes/_utils.py
+++ b/torch/onnx/_internal/fx/passes/_utils.py
@@ -6,9 +6,7 @@ These functions should NOT be directly invoked outside of `passes` package.
 from __future__ import annotations
 
 import collections
-
 import re
-
 from typing import Callable
 
 import torch.fx
diff --git a/torch/onnx/_internal/fx/passes/decomp.py b/torch/onnx/_internal/fx/passes/decomp.py
index df8ce6a07c21..e0869e78d100 100644
--- a/torch/onnx/_internal/fx/passes/decomp.py
+++ b/torch/onnx/_internal/fx/passes/decomp.py
@@ -2,7 +2,6 @@
 from __future__ import annotations
 
 import contextlib
-
 from typing import Callable, Mapping, TYPE_CHECKING
 
 import torch
@@ -12,6 +11,7 @@ from torch.fx.experimental import proxy_tensor
 from torch.onnx._internal.fx import _pass, diagnostics
 from torch.onnx._internal.fx.passes import _utils
 
+
 if TYPE_CHECKING:
     import torch.fx
     from torch._subclasses import fake_tensor
diff --git a/torch/onnx/_internal/fx/passes/functionalization.py b/torch/onnx/_internal/fx/passes/functionalization.py
index d4eddd19654a..e3e5b36c0a15 100644
--- a/torch/onnx/_internal/fx/passes/functionalization.py
+++ b/torch/onnx/_internal/fx/passes/functionalization.py
@@ -2,7 +2,6 @@
 from __future__ import annotations
 
 import contextlib
-
 from typing import Callable, TYPE_CHECKING
 
 import torch
@@ -14,6 +13,7 @@ from torch.onnx._internal.fx import _pass, diagnostics
 from torch.onnx._internal.fx.passes import _utils
 from torch.utils import _pytree as pytree
 
+
 if TYPE_CHECKING:
     from torch._subclasses import fake_tensor
 
diff --git a/torch/onnx/_internal/fx/passes/modularization.py b/torch/onnx/_internal/fx/passes/modularization.py
index db74d52dda47..bcd3e956b425 100644
--- a/torch/onnx/_internal/fx/passes/modularization.py
+++ b/torch/onnx/_internal/fx/passes/modularization.py
@@ -2,19 +2,17 @@
 from __future__ import annotations
 
 import abc
-
 import collections
 import copy
 import operator
-
 from typing import Any, Dict, Final, Generator, Iterator, Sequence, Tuple
 
 import torch
 import torch.fx
-
 from torch.onnx._internal.fx import _pass, diagnostics
 from torch.utils import _pytree as pytree
 
+
 _FX_TRACER_NN_MODULE_META_TYPE = Tuple[str, type]
 """Legacy type of item from `node.meta["nn_module_stack"].items()` produced by FX symbolic tracer."""
 _FX_TRACER_NN_MODULE_STACK_META_TYPE = collections.OrderedDict
diff --git a/torch/onnx/_internal/fx/passes/readability.py b/torch/onnx/_internal/fx/passes/readability.py
index d91d40a88e5c..50221f47f64f 100644
--- a/torch/onnx/_internal/fx/passes/readability.py
+++ b/torch/onnx/_internal/fx/passes/readability.py
@@ -4,7 +4,6 @@ from __future__ import annotations
 from typing import Sequence
 
 import torch
-
 from torch.onnx._internal.fx import _pass, diagnostics
 
 
diff --git a/torch/onnx/_internal/fx/passes/type_promotion.py b/torch/onnx/_internal/fx/passes/type_promotion.py
index ca5e4ff4381f..ee5a55cacf81 100644
--- a/torch/onnx/_internal/fx/passes/type_promotion.py
+++ b/torch/onnx/_internal/fx/passes/type_promotion.py
@@ -3,20 +3,16 @@
 from __future__ import annotations
 
 import abc
-
 import dataclasses
 import inspect
 import logging
-
 from typing import Any, Callable, Mapping, Sequence, TYPE_CHECKING
 
 import torch
 import torch._ops
 import torch.fx
 import torch.fx.traceback as fx_traceback
-
 from torch import _prims_common, _refs
-
 from torch._prims_common import (
     ELEMENTWISE_TYPE_PROMOTION_KIND,
     wrappers as _prims_common_wrappers,
@@ -24,15 +20,16 @@ from torch._prims_common import (
 from torch._refs import linalg as _linalg_refs, nn as _nn_refs, special as _special_refs
 from torch._refs.nn import functional as _functional_refs
 from torch.fx.experimental import proxy_tensor
-
 from torch.onnx._internal.fx import _pass, diagnostics, type_utils as fx_type_utils
 from torch.utils import _python_dispatch, _pytree
 
+
 if TYPE_CHECKING:
     from types import ModuleType
 
     from torch._subclasses import fake_tensor
 
+
 logger = logging.getLogger(__name__)
 
 # TODO(bowbao): move to type utils.
diff --git a/torch/onnx/_internal/fx/passes/virtualization.py b/torch/onnx/_internal/fx/passes/virtualization.py
index b94fadec8305..456c25fee777 100644
--- a/torch/onnx/_internal/fx/passes/virtualization.py
+++ b/torch/onnx/_internal/fx/passes/virtualization.py
@@ -4,9 +4,9 @@ from __future__ import annotations
 from typing import TYPE_CHECKING
 
 import torch
-
 from torch.onnx._internal.fx import _pass
 
+
 if TYPE_CHECKING:
     import torch.fx
 
diff --git a/torch/onnx/_internal/fx/patcher.py b/torch/onnx/_internal/fx/patcher.py
index 239edb6dde63..04298159deb0 100644
--- a/torch/onnx/_internal/fx/patcher.py
+++ b/torch/onnx/_internal/fx/patcher.py
@@ -5,6 +5,7 @@ from typing import List, TYPE_CHECKING, Union
 
 import torch
 
+
 if TYPE_CHECKING:
     import io
 
@@ -16,7 +17,6 @@ def has_safetensors_and_transformers():
         # safetensors is not an exporter requirement, but needed for some huggingface models
         import safetensors  # type: ignore[import]  # noqa: F401
         import transformers  # type: ignore[import]  # noqa: F401
-
         from safetensors import torch as safetensors_torch  # noqa: F401
 
         return True
diff --git a/torch/onnx/_internal/fx/torch_export_graph_extractor.py b/torch/onnx/_internal/fx/torch_export_graph_extractor.py
index 775b49ef2a1a..a5f3f3d7b07c 100644
--- a/torch/onnx/_internal/fx/torch_export_graph_extractor.py
+++ b/torch/onnx/_internal/fx/torch_export_graph_extractor.py
@@ -13,6 +13,7 @@ import torch.fx
 from torch.onnx._internal import exporter, io_adapter
 from torch.onnx._internal.diagnostics import infra
 
+
 if TYPE_CHECKING:
     import torch.onnx
     from torch.export.exported_program import ExportedProgram
diff --git a/torch/onnx/_internal/fx/type_utils.py b/torch/onnx/_internal/fx/type_utils.py
index d32fbd44cd6b..8aba18d5918a 100644
--- a/torch/onnx/_internal/fx/type_utils.py
+++ b/torch/onnx/_internal/fx/type_utils.py
@@ -15,11 +15,13 @@ from typing import (
 )
 
 import numpy
+
 import onnx
 
 import torch
 from torch._subclasses import fake_tensor
 
+
 if TYPE_CHECKING:
     import onnx.defs.OpSchema.AttrType  # type: ignore[import]  # noqa: TCH004
 
diff --git a/torch/onnx/_internal/io_adapter.py b/torch/onnx/_internal/io_adapter.py
index e2f322809b7d..fb89cad85ac5 100644
--- a/torch/onnx/_internal/io_adapter.py
+++ b/torch/onnx/_internal/io_adapter.py
@@ -13,9 +13,9 @@ from typing import (
 
 import torch
 import torch.export as torch_export
-
 from torch.utils import _pytree as pytree
 
+
 if TYPE_CHECKING:
     import inspect
 
diff --git a/torch/onnx/_internal/jit_utils.py b/torch/onnx/_internal/jit_utils.py
index de72922ef44a..ec5dc4b96200 100644
--- a/torch/onnx/_internal/jit_utils.py
+++ b/torch/onnx/_internal/jit_utils.py
@@ -1,10 +1,11 @@
 # mypy: allow-untyped-defs
 """Utilities for manipulating the torch.Graph object and the torchscript."""
-from __future__ import annotations
 
 # TODO(justinchuby): Move more of the symbolic helper functions here and expose
 # them to the user.
 
+from __future__ import annotations
+
 import dataclasses
 import re
 import typing
diff --git a/torch/onnx/_internal/onnxruntime.py b/torch/onnx/_internal/onnxruntime.py
index 59609866bae8..3cc5aa3167e5 100644
--- a/torch/onnx/_internal/onnxruntime.py
+++ b/torch/onnx/_internal/onnxruntime.py
@@ -4,7 +4,6 @@ import dataclasses
 import importlib
 import logging
 import os
-
 from typing import (
     Any,
     Callable,
@@ -33,6 +32,7 @@ from torch.fx.passes.operator_support import OperatorSupport
 from torch.fx.passes.tools_common import CALLABLE_NODE_OPS
 from torch.utils import _pytree
 
+
 if TYPE_CHECKING:
     import onnx
 
@@ -929,7 +929,7 @@ class OrtBackend:
             try:
                 from onnxscript import optimizer  # type: ignore[import]
                 from onnxscript.rewriter import (  # type: ignore[import]
-                    onnxruntime as ort_rewriter,  # type: ignore[import]
+                    onnxruntime as ort_rewriter,
                 )
 
                 onnx_model = optimizer.optimize(onnx_model)
@@ -1112,7 +1112,6 @@ class OrtBackend:
         the ``compile`` method is invoked directly."""
         if self._options.use_aot_autograd:
             from functorch.compile import min_cut_rematerialization_partition
-
             from torch._dynamo.backends.common import aot_autograd
 
             return aot_autograd(
diff --git a/torch/onnx/_type_utils.py b/torch/onnx/_type_utils.py
index 1099130c7f17..1d80dc89ea71 100644
--- a/torch/onnx/_type_utils.py
+++ b/torch/onnx/_type_utils.py
@@ -10,6 +10,7 @@ import torch
 from torch._C import _onnx as _C_onnx
 from torch.onnx import errors
 
+
 if typing.TYPE_CHECKING:
     # Hack to help mypy to recognize torch._C.Value
     from torch import _C  # noqa: F401
diff --git a/torch/onnx/errors.py b/torch/onnx/errors.py
index 483ca22097fd..456d05e7593e 100644
--- a/torch/onnx/errors.py
+++ b/torch/onnx/errors.py
@@ -7,6 +7,7 @@ from typing import TYPE_CHECKING
 from torch.onnx import _constants
 from torch.onnx._internal import diagnostics
 
+
 if TYPE_CHECKING:
     from torch import _C
 
diff --git a/torch/onnx/symbolic_helper.py b/torch/onnx/symbolic_helper.py
index eb853d39b31f..6c8556248742 100644
--- a/torch/onnx/symbolic_helper.py
+++ b/torch/onnx/symbolic_helper.py
@@ -19,6 +19,7 @@ from torch.onnx import _constants, _type_utils, errors, utils
 from torch.onnx._globals import GLOBALS
 from torch.onnx._internal import jit_utils
 
+
 if typing.TYPE_CHECKING:
     from torch.types import Number
 
diff --git a/torch/onnx/symbolic_opset10.py b/torch/onnx/symbolic_opset10.py
index c30452185c55..975b6bdbe7d8 100644
--- a/torch/onnx/symbolic_opset10.py
+++ b/torch/onnx/symbolic_opset10.py
@@ -23,6 +23,7 @@ from torch.onnx import (
 from torch.onnx._globals import GLOBALS
 from torch.onnx._internal import jit_utils, registration
 
+
 # EDITING THIS FILE? READ THIS FIRST!
 # see Note [Edit Symbolic Files] in README.md
 
diff --git a/torch/onnx/symbolic_opset11.py b/torch/onnx/symbolic_opset11.py
index eafd440639e4..22f3d4d6de1d 100644
--- a/torch/onnx/symbolic_opset11.py
+++ b/torch/onnx/symbolic_opset11.py
@@ -21,6 +21,7 @@ from torch.onnx import (
 )
 from torch.onnx._internal import jit_utils, registration
 
+
 # EDITING THIS FILE? READ THIS FIRST!
 # see Note [Edit Symbolic Files] in README.md
 
diff --git a/torch/onnx/symbolic_opset14.py b/torch/onnx/symbolic_opset14.py
index b7bf47192a2e..2e2acec72f97 100644
--- a/torch/onnx/symbolic_opset14.py
+++ b/torch/onnx/symbolic_opset14.py
@@ -25,6 +25,7 @@ from torch.onnx import _constants, _type_utils, symbolic_helper
 from torch.onnx._globals import GLOBALS
 from torch.onnx._internal import jit_utils, registration
 
+
 __all__ = [
     "hardswish",
     "tril",
diff --git a/torch/onnx/symbolic_opset15.py b/torch/onnx/symbolic_opset15.py
index fd876d3c00f6..08f8dcbf5a22 100644
--- a/torch/onnx/symbolic_opset15.py
+++ b/torch/onnx/symbolic_opset15.py
@@ -33,6 +33,7 @@ from torch import _C
 from torch.onnx import symbolic_helper, symbolic_opset9 as opset9
 from torch.onnx._internal import jit_utils, registration
 
+
 _onnx_symbolic = functools.partial(registration.onnx_symbolic, opset=15)
 
 
diff --git a/torch/onnx/symbolic_opset16.py b/torch/onnx/symbolic_opset16.py
index 696f1fecb022..3c3af5f55ac9 100644
--- a/torch/onnx/symbolic_opset16.py
+++ b/torch/onnx/symbolic_opset16.py
@@ -36,6 +36,7 @@ from torch.nn.functional import (
 from torch.onnx import _type_utils, errors, symbolic_helper, utils
 from torch.onnx._internal import jit_utils, registration
 
+
 _onnx_symbolic = functools.partial(registration.onnx_symbolic, opset=16)
 
 
diff --git a/torch/onnx/symbolic_opset17.py b/torch/onnx/symbolic_opset17.py
index 884dcf6f4bbb..0aca6634d2f6 100644
--- a/torch/onnx/symbolic_opset17.py
+++ b/torch/onnx/symbolic_opset17.py
@@ -25,6 +25,7 @@ from torch import _C
 from torch.onnx import _type_utils, errors, symbolic_helper
 from torch.onnx._internal import jit_utils, registration
 
+
 # EDITING THIS FILE? READ THIS FIRST!
 # see Note [Edit Symbolic Files] in README.md
 
diff --git a/torch/onnx/symbolic_opset18.py b/torch/onnx/symbolic_opset18.py
index ee441b59ff0c..d28fadc1bab1 100644
--- a/torch/onnx/symbolic_opset18.py
+++ b/torch/onnx/symbolic_opset18.py
@@ -27,6 +27,7 @@ from torch import _C
 from torch.onnx import _type_utils, symbolic_helper, symbolic_opset9 as opset9
 from torch.onnx._internal import jit_utils, registration
 
+
 # EDITING THIS FILE? READ THIS FIRST!
 # see Note [Edit Symbolic Files] in symbolic_helper.py
 
diff --git a/torch/onnx/symbolic_opset19.py b/torch/onnx/symbolic_opset19.py
index 81b69dd3cc20..a97dda26f81f 100644
--- a/torch/onnx/symbolic_opset19.py
+++ b/torch/onnx/symbolic_opset19.py
@@ -26,6 +26,7 @@ Size
 
 from typing import List
 
+
 # EDITING THIS FILE? READ THIS FIRST!
 # see Note [Edit Symbolic Files] in symbolic_helper.py
 
diff --git a/torch/onnx/symbolic_opset20.py b/torch/onnx/symbolic_opset20.py
index fe4fa1e62315..ed1997bc803c 100644
--- a/torch/onnx/symbolic_opset20.py
+++ b/torch/onnx/symbolic_opset20.py
@@ -24,11 +24,11 @@ New operators:
 import functools
 
 import torch.nn.functional as F
-
 from torch import _C
 from torch.onnx import symbolic_helper
 from torch.onnx._internal import jit_utils, registration
 
+
 # EDITING THIS FILE? READ THIS FIRST!
 # see Note [Edit Symbolic Files] in symbolic_helper.py
 
diff --git a/torch/onnx/symbolic_opset8.py b/torch/onnx/symbolic_opset8.py
index 191a3259efb1..41abf46be2a0 100644
--- a/torch/onnx/symbolic_opset8.py
+++ b/torch/onnx/symbolic_opset8.py
@@ -39,6 +39,7 @@ from torch._C import _onnx as _C_onnx
 from torch.onnx import _type_utils, errors, symbolic_helper, symbolic_opset9 as opset9
 from torch.onnx._internal import jit_utils, registration
 
+
 _onnx_symbolic = functools.partial(registration.onnx_symbolic, opset=8)
 
 block_listed_operators = (
diff --git a/torch/onnx/symbolic_opset9.py b/torch/onnx/symbolic_opset9.py
index 5b3acb28348f..a5f41c231272 100644
--- a/torch/onnx/symbolic_opset9.py
+++ b/torch/onnx/symbolic_opset9.py
@@ -27,6 +27,7 @@ from torch.onnx import _constants, _deprecation, _type_utils, errors, symbolic_h
 from torch.onnx._globals import GLOBALS
 from torch.onnx._internal import jit_utils, registration
 
+
 if TYPE_CHECKING:
     from torch.types import Number
 
diff --git a/torch/onnx/verification.py b/torch/onnx/verification.py
index bcf1de6b6437..195e7a822851 100644
--- a/torch/onnx/verification.py
+++ b/torch/onnx/verification.py
@@ -30,6 +30,7 @@ from torch.onnx._globals import GLOBALS
 from torch.onnx._internal import onnx_proto_utils
 from torch.types import Number
 
+
 _ORT_PROVIDERS = ("CPUExecutionProvider",)
 
 _NumericType = Union[Number, torch.Tensor, np.ndarray]
diff --git a/torch/optim/__init__.py b/torch/optim/__init__.py
index 285dd73276a1..ee53d1c5fd76 100644
--- a/torch/optim/__init__.py
+++ b/torch/optim/__init__.py
@@ -23,6 +23,7 @@ from torch.optim.rprop import Rprop
 from torch.optim.sgd import SGD
 from torch.optim.sparse_adam import SparseAdam
 
+
 Adafactor.__module__ = "torch.optim"
 
 
diff --git a/torch/optim/_adafactor.py b/torch/optim/_adafactor.py
index b1f6ada45805..73ba8658750d 100644
--- a/torch/optim/_adafactor.py
+++ b/torch/optim/_adafactor.py
@@ -4,6 +4,7 @@ from typing import List, Optional, Tuple, Union
 
 import torch
 from torch import Tensor
+
 from .optimizer import (
     _disable_dynamo_if_unsupported,
     _get_scalar_dtype,
@@ -12,6 +13,7 @@ from .optimizer import (
     ParamsT,
 )
 
+
 __all__ = ["Adafactor", "adafactor"]
 
 
diff --git a/torch/optim/adadelta.py b/torch/optim/adadelta.py
index fb719b3a0d8b..d1a05d6df70b 100644
--- a/torch/optim/adadelta.py
+++ b/torch/optim/adadelta.py
@@ -20,6 +20,7 @@ from .optimizer import (
     ParamsT,
 )
 
+
 __all__ = ["Adadelta", "adadelta"]
 
 
diff --git a/torch/optim/adagrad.py b/torch/optim/adagrad.py
index 016389a4a6c0..ba8a1c895a38 100644
--- a/torch/optim/adagrad.py
+++ b/torch/optim/adagrad.py
@@ -4,6 +4,7 @@ from typing import List, Optional, Union
 import torch
 from torch import Tensor
 from torch.utils._foreach_utils import _get_fused_kernels_supported_devices
+
 from .optimizer import (
     _default_to_fused_or_foreach,
     _differentiable_doc,
@@ -17,6 +18,7 @@ from .optimizer import (
     ParamsT,
 )
 
+
 __all__ = ["Adagrad", "adagrad"]
 
 
diff --git a/torch/optim/adam.py b/torch/optim/adam.py
index 661083996668..97648b86bec1 100644
--- a/torch/optim/adam.py
+++ b/torch/optim/adam.py
@@ -5,6 +5,7 @@ from typing import List, Optional, Tuple, Union
 import torch
 from torch import Tensor
 from torch.utils._foreach_utils import _get_fused_kernels_supported_devices
+
 from .optimizer import (
     _capturable_doc,
     _default_to_fused_or_foreach,
@@ -24,6 +25,7 @@ from .optimizer import (
     ParamsT,
 )
 
+
 __all__ = ["Adam", "adam"]
 
 
diff --git a/torch/optim/adamax.py b/torch/optim/adamax.py
index b74c9e011680..7cb5e464f5a6 100644
--- a/torch/optim/adamax.py
+++ b/torch/optim/adamax.py
@@ -21,6 +21,7 @@ from .optimizer import (
     ParamsT,
 )
 
+
 __all__ = ["Adamax", "adamax"]
 
 
diff --git a/torch/optim/adamw.py b/torch/optim/adamw.py
index 0687d13c3dfe..345b4369050c 100644
--- a/torch/optim/adamw.py
+++ b/torch/optim/adamw.py
@@ -5,6 +5,7 @@ from typing import cast, List, Optional, Tuple, Union
 import torch
 from torch import Tensor
 from torch.utils._foreach_utils import _get_fused_kernels_supported_devices
+
 from .optimizer import (
     _capturable_doc,
     _default_to_fused_or_foreach,
@@ -24,6 +25,7 @@ from .optimizer import (
     ParamsT,
 )
 
+
 __all__ = ["AdamW", "adamw"]
 
 
diff --git a/torch/optim/asgd.py b/torch/optim/asgd.py
index 163dbc0c9720..1d8402edc48e 100644
--- a/torch/optim/asgd.py
+++ b/torch/optim/asgd.py
@@ -21,6 +21,7 @@ from .optimizer import (
     ParamsT,
 )
 
+
 __all__ = ["ASGD", "asgd"]
 
 
diff --git a/torch/optim/lbfgs.py b/torch/optim/lbfgs.py
index 7178292ff58e..f9c2e13077e3 100644
--- a/torch/optim/lbfgs.py
+++ b/torch/optim/lbfgs.py
@@ -3,8 +3,10 @@ from typing import Optional, Union
 
 import torch
 from torch import Tensor
+
 from .optimizer import Optimizer, ParamsT
 
+
 __all__ = ["LBFGS"]
 
 
diff --git a/torch/optim/lr_scheduler.py b/torch/optim/lr_scheduler.py
index f9494d0f36b6..a77689a44d6c 100644
--- a/torch/optim/lr_scheduler.py
+++ b/torch/optim/lr_scheduler.py
@@ -26,6 +26,7 @@ from torch import inf, Tensor
 
 from .optimizer import Optimizer
 
+
 __all__ = [
     "LambdaLR",
     "MultiplicativeLR",
diff --git a/torch/optim/nadam.py b/torch/optim/nadam.py
index 6ec27df939c3..54cc8df5a9b7 100644
--- a/torch/optim/nadam.py
+++ b/torch/optim/nadam.py
@@ -5,6 +5,7 @@ from typing import cast, List, Optional, Tuple, Union
 
 import torch
 from torch import Tensor
+
 from .optimizer import (
     _capturable_doc,
     _default_to_fused_or_foreach,
@@ -22,6 +23,7 @@ from .optimizer import (
     ParamsT,
 )
 
+
 __all__ = ["NAdam", "nadam"]
 
 
diff --git a/torch/optim/optimizer.py b/torch/optim/optimizer.py
index 6cbc18b06282..956c4167f42e 100644
--- a/torch/optim/optimizer.py
+++ b/torch/optim/optimizer.py
@@ -35,6 +35,7 @@ from torch.utils._foreach_utils import (
 )
 from torch.utils.hooks import RemovableHandle
 
+
 Args: TypeAlias = Tuple[Any, ...]
 Kwargs: TypeAlias = Dict[str, Any]
 StateDict: TypeAlias = Dict[str, Any]
diff --git a/torch/optim/radam.py b/torch/optim/radam.py
index 6ec7ca221fdc..24949ea4e05d 100644
--- a/torch/optim/radam.py
+++ b/torch/optim/radam.py
@@ -22,6 +22,7 @@ from .optimizer import (
     ParamsT,
 )
 
+
 __all__ = ["RAdam", "radam"]
 
 
diff --git a/torch/optim/rmsprop.py b/torch/optim/rmsprop.py
index 860d1f6aa7d9..c9b33684f48e 100644
--- a/torch/optim/rmsprop.py
+++ b/torch/optim/rmsprop.py
@@ -5,6 +5,7 @@ from typing import List, Optional, Union
 
 import torch
 from torch import Tensor
+
 from .optimizer import (
     _capturable_doc,
     _default_to_fused_or_foreach,
@@ -20,6 +21,7 @@ from .optimizer import (
     ParamsT,
 )
 
+
 __all__ = ["RMSprop", "rmsprop"]
 
 
diff --git a/torch/optim/rprop.py b/torch/optim/rprop.py
index 395479bcac89..ba0be649a8fc 100644
--- a/torch/optim/rprop.py
+++ b/torch/optim/rprop.py
@@ -5,6 +5,7 @@ from typing import List, Optional, Tuple, Union
 
 import torch
 from torch import Tensor
+
 from .optimizer import (
     _capturable_doc,
     _default_to_fused_or_foreach,
@@ -20,6 +21,7 @@ from .optimizer import (
     ParamsT,
 )
 
+
 __all__ = ["Rprop", "rprop"]
 
 
diff --git a/torch/optim/sgd.py b/torch/optim/sgd.py
index bd1283dc687a..c9b2b169b1a7 100644
--- a/torch/optim/sgd.py
+++ b/torch/optim/sgd.py
@@ -5,6 +5,7 @@ from typing import List, Optional, Union
 import torch
 from torch import Tensor
 from torch.utils._foreach_utils import _get_fused_kernels_supported_devices
+
 from .optimizer import (
     _default_to_fused_or_foreach,
     _differentiable_doc,
@@ -16,6 +17,7 @@ from .optimizer import (
     Optimizer,
 )
 
+
 __all__ = ["SGD", "sgd"]
 
 
diff --git a/torch/optim/sparse_adam.py b/torch/optim/sparse_adam.py
index 5f2069a781cd..22ef7841270f 100644
--- a/torch/optim/sparse_adam.py
+++ b/torch/optim/sparse_adam.py
@@ -3,9 +3,11 @@ from typing import List, Tuple, Union
 
 import torch
 from torch import Tensor
+
 from . import _functional as F
 from .optimizer import _maximize_doc, Optimizer, ParamsT
 
+
 __all__ = ["SparseAdam"]
 
 
diff --git a/torch/optim/swa_utils.py b/torch/optim/swa_utils.py
index a17f387286da..73c71eddecac 100644
--- a/torch/optim/swa_utils.py
+++ b/torch/optim/swa_utils.py
@@ -11,8 +11,10 @@ from torch import Tensor
 from torch.nn import Module
 from torch.optim.lr_scheduler import _format_param, LRScheduler
 from torch.utils._foreach_utils import _get_foreach_kernels_supported_devices
+
 from .optimizer import Optimizer
 
+
 __all__ = [
     "AveragedModel",
     "update_bn",
@@ -25,6 +27,7 @@ __all__ = [
 
 from torch.utils._foreach_utils import _group_tensors_by_device_and_dtype
 
+
 PARAM_LIST = Union[Tuple[Tensor, ...], List[Tensor]]
 
 
diff --git a/torch/package/_directory_reader.py b/torch/package/_directory_reader.py
index 77d629cccce2..f58065f47dc4 100644
--- a/torch/package/_directory_reader.py
+++ b/torch/package/_directory_reader.py
@@ -6,6 +6,7 @@ from typing import cast
 import torch
 from torch.types import Storage
 
+
 __serialization_id_record_name__ = ".data/serialization_id"
 
 
diff --git a/torch/package/_importlib.py b/torch/package/_importlib.py
index 9741925315e5..609efd294c4c 100644
--- a/torch/package/_importlib.py
+++ b/torch/package/_importlib.py
@@ -2,6 +2,7 @@
 import _warnings
 import os.path
 
+
 # note: implementations
 # copied from cpython's import code
 
diff --git a/torch/package/_mangling.py b/torch/package/_mangling.py
index 700a9ad6a04a..0cf3791d1604 100644
--- a/torch/package/_mangling.py
+++ b/torch/package/_mangling.py
@@ -4,6 +4,7 @@ See mangling.md for details.
 """
 import re
 
+
 _mangle_index = 0
 
 
diff --git a/torch/package/analyze/find_first_use_of_broken_modules.py b/torch/package/analyze/find_first_use_of_broken_modules.py
index 1910afdd98e3..b3016a56c2a4 100644
--- a/torch/package/analyze/find_first_use_of_broken_modules.py
+++ b/torch/package/analyze/find_first_use_of_broken_modules.py
@@ -1,6 +1,7 @@
 from typing import Dict, List
 
-from ..package_exporter import PackagingError
+from torch.package.package_exporter import PackagingError
+
 
 __all__ = ["find_first_use_of_broken_modules"]
 
diff --git a/torch/package/analyze/trace_dependencies.py b/torch/package/analyze/trace_dependencies.py
index 405fcf2f9bc2..23f6c998385b 100644
--- a/torch/package/analyze/trace_dependencies.py
+++ b/torch/package/analyze/trace_dependencies.py
@@ -2,6 +2,7 @@
 import sys
 from typing import Any, Callable, Iterable, List, Tuple
 
+
 __all__ = ["trace_dependencies"]
 
 
diff --git a/torch/package/file_structure_representation.py b/torch/package/file_structure_representation.py
index 44e07978640f..e1137234ab73 100644
--- a/torch/package/file_structure_representation.py
+++ b/torch/package/file_structure_representation.py
@@ -3,6 +3,7 @@ from typing import Dict, List
 
 from .glob_group import GlobGroup, GlobPattern
 
+
 __all__ = ["Directory"]
 
 
diff --git a/torch/package/glob_group.py b/torch/package/glob_group.py
index 974364400502..1c1d31930fd1 100644
--- a/torch/package/glob_group.py
+++ b/torch/package/glob_group.py
@@ -2,6 +2,7 @@
 import re
 from typing import Iterable, Union
 
+
 GlobPattern = Union[str, Iterable[str]]
 
 
diff --git a/torch/package/importer.py b/torch/package/importer.py
index 513847513910..4983d2f6995d 100644
--- a/torch/package/importer.py
+++ b/torch/package/importer.py
@@ -1,7 +1,7 @@
 # mypy: allow-untyped-defs
 import importlib
 from abc import ABC, abstractmethod
-from pickle import (  # type: ignore[attr-defined]  # type: ignore[attr-defined]
+from pickle import (  # type: ignore[attr-defined]
     _getattribute,
     _Pickler,
     whichmodule as _pickle_whichmodule,
@@ -11,6 +11,7 @@ from typing import Any, Dict, List, Optional, Tuple
 
 from ._mangling import demangle, get_mangle_prefix, is_mangled
 
+
 __all__ = ["ObjNotFoundError", "ObjMismatchError", "Importer", "OrderedImporter"]
 
 
diff --git a/torch/package/package_exporter.py b/torch/package/package_exporter.py
index bfa00278fa4b..7f1f8cc2f29d 100644
--- a/torch/package/package_exporter.py
+++ b/torch/package/package_exporter.py
@@ -39,6 +39,7 @@ from .find_file_dependencies import find_files_source_depends_on
 from .glob_group import GlobGroup, GlobPattern
 from .importer import Importer, OrderedImporter, sys_importer
 
+
 __all__ = [
     "PackagingErrorReason",
     "EmptyMatchError",
diff --git a/torch/package/package_importer.py b/torch/package/package_importer.py
index 1a103ab6c5c9..3eb06277f1da 100644
--- a/torch/package/package_importer.py
+++ b/torch/package/package_importer.py
@@ -38,6 +38,7 @@ from ._package_unpickler import PackageUnpickler
 from .file_structure_representation import _create_directory_from_file_list, Directory
 from .importer import Importer
 
+
 if TYPE_CHECKING:
     from .glob_group import GlobPattern
 
diff --git a/torch/profiler/__init__.py b/torch/profiler/__init__.py
index 4a681daf788e..073096607afe 100644
--- a/torch/profiler/__init__.py
+++ b/torch/profiler/__init__.py
@@ -25,6 +25,7 @@ from .profiler import (
     tensorboard_trace_handler,
 )
 
+
 __all__ = [
     "profile",
     "schedule",
diff --git a/torch/profiler/_memory_profiler.py b/torch/profiler/_memory_profiler.py
index 1834f0494e02..2095b882f5de 100644
--- a/torch/profiler/_memory_profiler.py
+++ b/torch/profiler/_memory_profiler.py
@@ -32,6 +32,7 @@ from torch._C._profiler import (
 from torch._utils import _element_size
 from torch.profiler import _utils
 
+
 KeyAndID = Tuple["Key", int]
 TensorAndID = Tuple["TensorKey", int]
 
diff --git a/torch/profiler/_utils.py b/torch/profiler/_utils.py
index d69fa4630595..20dfeb80adeb 100644
--- a/torch/profiler/_utils.py
+++ b/torch/profiler/_utils.py
@@ -7,9 +7,9 @@ from dataclasses import dataclass
 from typing import Dict, List, TYPE_CHECKING
 
 from torch.autograd.profiler import profile
-
 from torch.profiler import DeviceType
 
+
 if TYPE_CHECKING:
     from torch.autograd import _KinetoEvent
 
diff --git a/torch/profiler/itt.py b/torch/profiler/itt.py
index 4666bba515a3..9d4bda2b3420 100644
--- a/torch/profiler/itt.py
+++ b/torch/profiler/itt.py
@@ -1,6 +1,7 @@
 # mypy: allow-untyped-defs
 from contextlib import contextmanager
 
+
 try:
     from torch._C import _itt
 except ImportError:
diff --git a/torch/quantization/__init__.py b/torch/quantization/__init__.py
index a82518db6084..8789fea17a17 100644
--- a/torch/quantization/__init__.py
+++ b/torch/quantization/__init__.py
@@ -1,16 +1,14 @@
 # mypy: allow-untyped-defs
-from .quantize import *  # noqa: F403
-from .observer import *  # noqa: F403
-from .qconfig import *  # noqa: F403
 from .fake_quantize import *  # noqa: F403
 from .fuse_modules import fuse_modules
-from .stubs import *  # noqa: F403
-from .quant_type import *  # noqa: F403
-from .quantize_jit import *  # noqa: F403
-
-# from .quantize_fx import *
-from .quantization_mappings import *  # noqa: F403
 from .fuser_method_mappings import *  # noqa: F403
+from .observer import *  # noqa: F403
+from .qconfig import *  # noqa: F403
+from .quant_type import *  # noqa: F403
+from .quantization_mappings import *  # noqa: F403
+from .quantize import *  # noqa: F403
+from .quantize_jit import *  # noqa: F403
+from .stubs import *  # noqa: F403
 
 
 def default_eval_fn(model, calib_data):
diff --git a/torch/quantization/fx/pattern_utils.py b/torch/quantization/fx/pattern_utils.py
index 26954833bb48..2a83e180fc4d 100644
--- a/torch/quantization/fx/pattern_utils.py
+++ b/torch/quantization/fx/pattern_utils.py
@@ -15,6 +15,7 @@ from torch.ao.quantization.fx.pattern_utils import (
     QuantizeHandler,
 )
 
+
 # QuantizeHandler.__module__ = _NAMESPACE
 _register_fusion_pattern.__module__ = "torch.ao.quantization.fx.pattern_utils"
 get_default_fusion_patterns.__module__ = "torch.ao.quantization.fx.pattern_utils"
diff --git a/torch/quantization/fx/quantization_patterns.py b/torch/quantization/fx/quantization_patterns.py
index 34ee88a4713c..20d8cc52ee4f 100644
--- a/torch/quantization/fx/quantization_patterns.py
+++ b/torch/quantization/fx/quantization_patterns.py
@@ -23,6 +23,7 @@ from torch.ao.quantization.fx.quantize_handler import (
     StandaloneModuleQuantizeHandler,
 )
 
+
 QuantizeHandler.__module__ = "torch.ao.quantization.fx.quantization_patterns"
 BinaryOpQuantizeHandler.__module__ = "torch.ao.quantization.fx.quantization_patterns"
 CatQuantizeHandler.__module__ = "torch.ao.quantization.fx.quantization_patterns"
diff --git a/torch/sparse/__init__.py b/torch/sparse/__init__.py
index 8b3a1f2e2b2d..b99061cd0cbd 100644
--- a/torch/sparse/__init__.py
+++ b/torch/sparse/__init__.py
@@ -15,6 +15,7 @@ from .semi_structured import (
     to_sparse_semi_structured,
 )
 
+
 if TYPE_CHECKING:
     from torch.types import _dtype as DType
 
diff --git a/torch/sparse/_semi_structured_ops.py b/torch/sparse/_semi_structured_ops.py
index bcaa889ba1ee..d7c76d8d8be8 100644
--- a/torch/sparse/_semi_structured_ops.py
+++ b/torch/sparse/_semi_structured_ops.py
@@ -3,6 +3,7 @@ import contextlib
 
 import torch
 
+
 __all__ = [
     "fallback_dispatcher",
     "semi_sparse_values",
diff --git a/torch/sparse/_triton_ops.py b/torch/sparse/_triton_ops.py
index 4ab313064ba4..ccd29b9f5a5b 100644
--- a/torch/sparse/_triton_ops.py
+++ b/torch/sparse/_triton_ops.py
@@ -8,8 +8,10 @@ from typing import Optional, Tuple
 
 import torch
 from torch.utils._triton import has_triton
+
 from ._triton_ops_meta import get_meta
 
+
 TORCH_SPARSE_BSR_SCATTER_MM_LRU_CACHE_SIZE = int(
     os.getenv("TORCH_SPARSE_BSR_SCATTER_MM_LRU_CACHE_SIZE", 2)
 )
diff --git a/torch/sparse/semi_structured.py b/torch/sparse/semi_structured.py
index 23193021232a..a4df1306ac19 100644
--- a/torch/sparse/semi_structured.py
+++ b/torch/sparse/semi_structured.py
@@ -20,6 +20,7 @@ from torch.sparse._semi_structured_ops import (
     semi_sparse_view,
 )
 
+
 __all__ = [
     "SparseSemiStructuredTensor",
     "SparseSemiStructuredTensorCUTLASS",
diff --git a/torch/testing/__init__.py b/torch/testing/__init__.py
index 352ce67e074a..de042277c7c8 100644
--- a/torch/testing/__init__.py
+++ b/torch/testing/__init__.py
@@ -1,4 +1,5 @@
 from torch._C import FileCheck as FileCheck
+
 from . import _utils
 from ._comparison import assert_allclose, assert_close as assert_close
 from ._creation import make_tensor as make_tensor
diff --git a/torch/testing/_creation.py b/torch/testing/_creation.py
index d8fb2ef18b1d..9de3bd09882e 100644
--- a/torch/testing/_creation.py
+++ b/torch/testing/_creation.py
@@ -9,6 +9,7 @@ from typing import cast, List, Optional, Tuple, Union
 
 import torch
 
+
 _INTEGRAL_TYPES = [
     torch.uint8,
     torch.int8,
diff --git a/torch/testing/_internal/distributed/common_state_dict.py b/torch/testing/_internal/distributed/common_state_dict.py
index 36b8cbf943ed..5aa8d7f14aa0 100644
--- a/torch/testing/_internal/distributed/common_state_dict.py
+++ b/torch/testing/_internal/distributed/common_state_dict.py
@@ -8,7 +8,6 @@ from typing import Any, Dict
 
 import torch
 import torch.nn as nn
-
 from torch.distributed._sharded_tensor import ShardedTensor
 from torch.distributed._state_dict_utils import _gather_state_dict
 from torch.distributed._tensor import DTensor
diff --git a/torch/testing/_internal/dynamo_test_failures.py b/torch/testing/_internal/dynamo_test_failures.py
index 1d542d694a55..6deb1b2af13c 100644
--- a/torch/testing/_internal/dynamo_test_failures.py
+++ b/torch/testing/_internal/dynamo_test_failures.py
@@ -3,6 +3,7 @@ import logging
 import os
 import sys
 
+
 # NOTE: [dynamo_test_failures.py]
 #
 # We generate xFailIfTorchDynamo* for all tests in `dynamo_expected_failures`
diff --git a/torch/testing/_internal/opinfo/core.py b/torch/testing/_internal/opinfo/core.py
index ecccc4fbd8d5..2aa38511d4e9 100644
--- a/torch/testing/_internal/opinfo/core.py
+++ b/torch/testing/_internal/opinfo/core.py
@@ -34,9 +34,9 @@ from torch.testing._internal.common_utils import (
     TrackedInputIter,
 )
 from torch.testing._internal.opinfo import utils
-
 from torchgen.utils import dataclass_repr
 
+
 # Reasonable testing sizes for dimensions
 L = 20
 M = 10
diff --git a/torch/testing/_internal/opinfo/definitions/__init__.py b/torch/testing/_internal/opinfo/definitions/__init__.py
index bd2ae805370c..4820a3eae232 100644
--- a/torch/testing/_internal/opinfo/definitions/__init__.py
+++ b/torch/testing/_internal/opinfo/definitions/__init__.py
@@ -11,6 +11,7 @@ from torch.testing._internal.opinfo.definitions import (
     special,
 )
 
+
 # Operator database
 op_db: List[OpInfo] = [
     *fft.op_db,
diff --git a/torch/testing/_internal/opinfo/definitions/fft.py b/torch/testing/_internal/opinfo/definitions/fft.py
index 65c9d6c08dac..6ed395eef020 100644
--- a/torch/testing/_internal/opinfo/definitions/fft.py
+++ b/torch/testing/_internal/opinfo/definitions/fft.py
@@ -7,7 +7,6 @@ from typing import List
 import numpy as np
 
 import torch
-
 from torch.testing import make_tensor
 from torch.testing._internal.common_cuda import SM53OrLater
 from torch.testing._internal.common_device_type import precisionOverride
@@ -31,6 +30,7 @@ from torch.testing._internal.opinfo.refs import (
     PythonRefInfo,
 )
 
+
 has_scipy_fft = False
 if TEST_SCIPY:
     try:
diff --git a/torch/testing/_internal/opinfo/definitions/linalg.py b/torch/testing/_internal/opinfo/definitions/linalg.py
index 7956f5b95b66..e94c6a671144 100644
--- a/torch/testing/_internal/opinfo/definitions/linalg.py
+++ b/torch/testing/_internal/opinfo/definitions/linalg.py
@@ -11,7 +11,6 @@ import numpy as np
 from numpy import inf
 
 import torch
-
 from torch.testing import make_tensor
 from torch.testing._internal.common_cuda import (
     _get_magma_version,
diff --git a/torch/testing/_internal/opinfo/definitions/signal.py b/torch/testing/_internal/opinfo/definitions/signal.py
index 6f51e388966a..105590a71fb7 100644
--- a/torch/testing/_internal/opinfo/definitions/signal.py
+++ b/torch/testing/_internal/opinfo/definitions/signal.py
@@ -2,7 +2,6 @@
 
 import unittest
 from functools import partial
-
 from itertools import product
 from typing import Callable, List, Tuple
 
@@ -18,6 +17,7 @@ from torch.testing._internal.opinfo.core import (
     SampleInput,
 )
 
+
 if TEST_SCIPY:
     import scipy.signal
 
diff --git a/torch/testing/_internal/opinfo/refs.py b/torch/testing/_internal/opinfo/refs.py
index 92bbdf8d6b2e..435a9d113164 100644
--- a/torch/testing/_internal/opinfo/refs.py
+++ b/torch/testing/_internal/opinfo/refs.py
@@ -7,6 +7,7 @@ from torch.testing._internal.opinfo.core import (
     UnaryUfuncInfo,
 )
 
+
 # NOTE [Python References]
 # Python References emulate existing PyTorch operations, but can ultimately
 #   be expressed in terms of "primitive" operations from torch._prims.
diff --git a/torch/testing/_internal/optests/generate_tests.py b/torch/testing/_internal/optests/generate_tests.py
index 70ee48274800..7fac1e57c6ac 100644
--- a/torch/testing/_internal/optests/generate_tests.py
+++ b/torch/testing/_internal/optests/generate_tests.py
@@ -13,9 +13,7 @@ import unittest
 from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union
 
 import torch
-
 import torch._dynamo
-
 import torch.utils._pytree as pytree
 from torch._dynamo.utils import clone_input
 from torch._library.custom_ops import CustomOpDef
diff --git a/torch/testing/_internal/triton_utils.py b/torch/testing/_internal/triton_utils.py
index ab54e8b8bec9..f9a50d68c512 100644
--- a/torch/testing/_internal/triton_utils.py
+++ b/torch/testing/_internal/triton_utils.py
@@ -5,6 +5,7 @@ import unittest
 from torch.testing._internal.inductor_utils import HAS_CUDA, HAS_GPU
 from torch.utils._triton import has_triton
 
+
 requires_cuda = unittest.skipUnless(HAS_CUDA, "requires cuda")
 requires_gpu = unittest.skipUnless(HAS_GPU, "requires gpu")
 
diff --git a/torch/testing/_utils.py b/torch/testing/_utils.py
index 50d077cb1649..5b4b7c3796e3 100644
--- a/torch/testing/_utils.py
+++ b/torch/testing/_utils.py
@@ -3,6 +3,7 @@ import contextlib
 
 import torch
 
+
 # Common testing utilities for use in public testing APIs.
 # NB: these should all be importable without optional dependencies
 # (like numpy and expecttest).
diff --git a/torch/utils/_backport_slots.py b/torch/utils/_backport_slots.py
index 3e265ce20fad..dcafb32877f3 100644
--- a/torch/utils/_backport_slots.py
+++ b/torch/utils/_backport_slots.py
@@ -7,10 +7,12 @@ import dataclasses
 import itertools
 from typing import Generator, List, Type, TYPE_CHECKING, TypeVar
 
+
 if TYPE_CHECKING:
     from _typeshed import DataclassInstance
 
-__all__ = ("dataclass_slots",)
+
+__all__ = ["dataclass_slots"]
 
 _T = TypeVar("_T", bound="DataclassInstance")
 
diff --git a/torch/utils/_config_module.py b/torch/utils/_config_module.py
index abff5af82b77..3efc39b2635d 100644
--- a/torch/utils/_config_module.py
+++ b/torch/utils/_config_module.py
@@ -1,5 +1,4 @@
 import contextlib
-
 import copy
 import hashlib
 import inspect
@@ -13,6 +12,7 @@ from typing import Any, Callable, Dict, NoReturn, Optional, Set, Union
 from typing_extensions import deprecated
 from unittest import mock
 
+
 # Types saved/loaded in configs
 CONFIG_TYPES = (int, float, bool, type(None), str, list, set, tuple, dict)
 
diff --git a/torch/utils/_content_store.py b/torch/utils/_content_store.py
index dec70d90b7d3..deb3ba9008c0 100644
--- a/torch/utils/_content_store.py
+++ b/torch/utils/_content_store.py
@@ -41,7 +41,6 @@ import torch._prims as prims
 import torch._utils
 import torch.nn.functional as F
 from torch._C import default_generator
-
 from torch.multiprocessing.reductions import StorageWeakRef
 
 
diff --git a/torch/utils/_cxx_pytree.py b/torch/utils/_cxx_pytree.py
index 753e9ca8542c..7b7cdc8a7e25 100644
--- a/torch/utils/_cxx_pytree.py
+++ b/torch/utils/_cxx_pytree.py
@@ -33,9 +33,9 @@ import optree
 from optree import PyTreeSpec  # direct import for type annotations
 
 import torch.utils._pytree as _pytree
-
 from torch.utils._pytree import KeyEntry
 
+
 __all__ = [
     "PyTree",
     "Context",
diff --git a/torch/utils/_ordered_set.py b/torch/utils/_ordered_set.py
index 22a4159bbb13..cb3d6a686ea3 100644
--- a/torch/utils/_ordered_set.py
+++ b/torch/utils/_ordered_set.py
@@ -15,6 +15,7 @@ from typing import (
     TypeVar,
 )
 
+
 T = TypeVar("T")
 T_co = TypeVar("T_co", covariant=True)
 
diff --git a/torch/utils/_strobelight/examples/cli_function_profiler_example.py b/torch/utils/_strobelight/examples/cli_function_profiler_example.py
index 222a70c9fe2d..d92fa3b8a603 100644
--- a/torch/utils/_strobelight/examples/cli_function_profiler_example.py
+++ b/torch/utils/_strobelight/examples/cli_function_profiler_example.py
@@ -1,6 +1,5 @@
 # mypy: allow-untyped-defs
 import torch
-
 from torch.utils._strobelight.cli_function_profiler import (
     strobelight,
     StrobelightCLIFunctionProfiler,
diff --git a/torch/utils/_sympy/functions.py b/torch/utils/_sympy/functions.py
index 3d04b35b0b80..58683f8f6e67 100644
--- a/torch/utils/_sympy/functions.py
+++ b/torch/utils/_sympy/functions.py
@@ -10,6 +10,7 @@ from sympy.core.numbers import equal_valued
 
 from .numbers import int_oo
 
+
 __all__ = [
     "FloorDiv",
     "ModularIndexing",
diff --git a/torch/utils/_sympy/interp.py b/torch/utils/_sympy/interp.py
index 65170a1881ed..04b99748c444 100644
--- a/torch/utils/_sympy/interp.py
+++ b/torch/utils/_sympy/interp.py
@@ -16,6 +16,7 @@ import sympy
 from sympy.logic.boolalg import Boolean as SympyBoolean, BooleanAtom
 
 import torch
+
 from .functions import (
     CeilToInt,
     CleanDiv,
diff --git a/torch/utils/_sympy/reference.py b/torch/utils/_sympy/reference.py
index 642044b43bfa..21ec1feb0ea6 100644
--- a/torch/utils/_sympy/reference.py
+++ b/torch/utils/_sympy/reference.py
@@ -1,6 +1,5 @@
 # mypy: allow-untyped-defs
 import math
-
 import operator
 
 import sympy
diff --git a/torch/utils/_sympy/singleton_int.py b/torch/utils/_sympy/singleton_int.py
index 1b5e8a96104f..0bac76121f8b 100644
--- a/torch/utils/_sympy/singleton_int.py
+++ b/torch/utils/_sympy/singleton_int.py
@@ -2,6 +2,7 @@
 import sympy
 from sympy.multipledispatch import dispatch
 
+
 __all__ = ["SingletonInt"]
 
 
diff --git a/torch/utils/_sympy/solve.py b/torch/utils/_sympy/solve.py
index 6a5e6efe134b..e122d6cd0b5f 100644
--- a/torch/utils/_sympy/solve.py
+++ b/torch/utils/_sympy/solve.py
@@ -1,11 +1,11 @@
 import logging
-
 from typing import Dict, Optional, Tuple, Type
 
 import sympy
 
 from torch.utils._sympy.functions import FloorDiv
 
+
 log = logging.getLogger(__name__)
 
 _MIRROR_REL_OP: Dict[Type[sympy.Basic], Type[sympy.Rel]] = {
diff --git a/torch/utils/_sympy/value_ranges.py b/torch/utils/_sympy/value_ranges.py
index 29ee1886261b..57d509323e01 100644
--- a/torch/utils/_sympy/value_ranges.py
+++ b/torch/utils/_sympy/value_ranges.py
@@ -24,8 +24,8 @@ from sympy.logic.boolalg import Boolean as SympyBoolean, BooleanAtom
 
 import torch
 from torch._logging import LazyString
-
 from torch._prims_common import dtype_to_type
+
 from .functions import (
     _keep_float,
     FloatTrueDiv,
@@ -45,6 +45,7 @@ from .functions import (
 from .interp import sympy_interp
 from .numbers import int_oo, IntInfinity, NegativeIntInfinity
 
+
 log = logging.getLogger(__name__)
 
 __all__ = ["ValueRanges", "ValueRangeAnalysis", "bound_sympy"]
diff --git a/torch/utils/_typing_utils.py b/torch/utils/_typing_utils.py
index fd1b6ca5785f..ffb6b383e4e6 100644
--- a/torch/utils/_typing_utils.py
+++ b/torch/utils/_typing_utils.py
@@ -2,6 +2,7 @@
 
 from typing import Optional, TypeVar
 
+
 # Helper to turn Optional[T] into T when we know None either isn't
 # possible or should trigger an exception.
 T = TypeVar("T")
diff --git a/torch/utils/data/datapipes/_typing.py b/torch/utils/data/datapipes/_typing.py
index e3e99df77780..f15b70ee66d6 100644
--- a/torch/utils/data/datapipes/_typing.py
+++ b/torch/utils/data/datapipes/_typing.py
@@ -11,9 +11,11 @@ import sys
 # In case of metaclass conflict due to ABCMeta or _ProtocolMeta
 # For Python 3.9, only Protocol in typing uses metaclass
 from abc import ABCMeta
+
+# TODO: Use TypeAlias when Python 3.6 is deprecated
 from typing import (  # type: ignore[attr-defined]
     _eval_type,
-    _GenericAlias,  # TODO: Use TypeAlias when Python 3.6 is deprecated
+    _GenericAlias,
     _tp_cache,
     _type_check,
     _type_repr,
diff --git a/torch/utils/module_tracker.py b/torch/utils/module_tracker.py
index 01e966c712b5..91958127b03b 100644
--- a/torch/utils/module_tracker.py
+++ b/torch/utils/module_tracker.py
@@ -1,6 +1,5 @@
 # mypy: allow-untyped-defs
 import weakref
-
 from typing import Set
 
 import torch
@@ -11,6 +10,7 @@ from torch.nn.modules.module import (
 )
 from torch.utils._pytree import tree_flatten
 
+
 __all__ = ["ModuleTracker"]
 
 
diff --git a/torch/xpu/__init__.py b/torch/xpu/__init__.py
index 6049a11861d2..b6eafc38ff1d 100644
--- a/torch/xpu/__init__.py
+++ b/torch/xpu/__init__.py
@@ -13,11 +13,13 @@ from typing import Any, Callable, Dict, List, Optional, Tuple, Union
 
 import torch
 import torch._C
-from .. import device as _device
-from .._utils import _dummy_type, _LazySeedTracker
+from torch import device as _device
+from torch._utils import _dummy_type, _LazySeedTracker
+
 from ._utils import _get_device_index
 from .streams import Event, Stream
 
+
 _initialized = False
 _tls = threading.local()
 _initialization_lock = threading.Lock()
diff --git a/torch/xpu/random.py b/torch/xpu/random.py
index 1ebdd476ed8c..b8631ddc1850 100644
--- a/torch/xpu/random.py
+++ b/torch/xpu/random.py
@@ -2,7 +2,8 @@
 from typing import Iterable, List, Union
 
 import torch
-from .. import Tensor
+from torch import Tensor
+
 from . import _lazy_call, _lazy_init, current_device, device_count