Replace Literal[None] with None in typing (#163489)

This PR replaces Literal[None] with None in typing.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/163489
Approved by: https://github.com/Skylion007, https://github.com/mlazos

torch/_compile.py

@@ -4,7 +4,7 @@ circular dependencies.
 """
 
 import functools
-from typing import Callable, Literal, Optional, overload, TypeVar, Union
+from typing import Callable, Optional, overload, TypeVar, Union
 from typing_extensions import ParamSpec
 
 
@@ -20,7 +20,7 @@ def _disable_dynamo(
 
 @overload
 def _disable_dynamo(
-    fn: Literal[None] = None, recursive: bool = True
+    fn: None = None, recursive: bool = True
 ) -> Callable[[Callable[_P, _T]], Callable[_P, _T]]: ...
 
 

torch/_inductor/config.py

@@ -1116,7 +1116,7 @@ class cpp:
     simdlen: Optional[int] = None
     min_chunk_size = int(os.environ.get("TORCHINDUCTOR_CPP_MIN_CHUNK_SIZE", "512"))
 
-    cxx: tuple[Literal[None], str] = (
+    cxx: tuple[None, str] = (
         None,  # download gcc12 from conda-forge if conda is installed
         os.environ.get("CXX", "clang++" if sys.platform == "darwin" else "g++"),
     )  # type: ignore[assignment]

torch/_inductor/ir.py

@@ -352,7 +352,7 @@ def get_stride_order(
 
 
 @overload
-def ir_node_to_tensor(x: Literal[None], guard_shape: bool = True) -> None: ...
+def ir_node_to_tensor(x: None, guard_shape: bool = True) -> None: ...
 
 
 @overload

torch/_library/custom_ops.py

@@ -5,7 +5,7 @@ import logging
 import weakref
 from collections.abc import Iterable, Sequence
 from contextlib import contextmanager
-from typing import Any, Callable, Literal, Optional, overload, Union
+from typing import Any, Callable, Optional, overload, Union
 
 import torch
 from torch import _C, _ops, Tensor
@@ -22,7 +22,7 @@ log = logging.getLogger(__name__)
 @overload
 def custom_op(
     name: str,
-    fn: Literal[None] = None,
+    fn: None = None,
     /,
     *,
     mutates_args: Union[str, Iterable[str]],

torch/cuda/memory.py

@@ -862,7 +862,7 @@ def _record_memory_history_legacy(
 
 
 def _record_memory_history(
-    enabled: Literal[None, "state", "all"] = "all", *args, **kwargs
+    enabled: Optional[Literal["state", "all"]] = "all", *args, **kwargs
 ) -> None:
     """Enable recording of stack traces associated with memory
     allocations, so you can tell what allocated any piece of memory in

torch/library.py

@@ -7,16 +7,7 @@ import sys
 import traceback
 import weakref
 from collections.abc import Sequence
-from typing import (
-    Any,
-    Callable,
-    Literal,
-    Optional,
-    overload,
-    TYPE_CHECKING,
-    TypeVar,
-    Union,
-)
+from typing import Any, Callable, Optional, overload, TYPE_CHECKING, TypeVar, Union
 from typing_extensions import deprecated, ParamSpec
 
 import torch
@@ -562,7 +553,7 @@ def _(lib: Library, schema, alias_analysis=""):
 def impl(
     qualname: str,
     types: Union[str, Sequence[str]],
-    func: Literal[None] = None,
+    func: None = None,
     *,
     lib: Optional[Library] = None,
 ) -> Callable[[Callable[..., object]], None]: ...
@@ -674,7 +665,7 @@ if not TYPE_CHECKING:
 def _impl(
     qualname: str,
     types: Union[str, Sequence[str]],
-    func: Literal[None] = None,
+    func: None = None,
     *,
     lib: Optional[Library] = None,
     disable_dynamo: bool = False,