From bfa4953b27b68539711ab897afd8a90aa62387da Mon Sep 17 00:00:00 2001
From: Philip Meier <github.pmeier@posteo.de>
Date: Tue, 27 Sep 2022 11:16:10 +0200
Subject: [PATCH] fix mypy errors after the 0.981 release

---
 torchvision/models/_api.py                        | 13 +++++--------
 torchvision/prototype/datasets/utils/_internal.py |  6 +++---
 2 files changed, 8 insertions(+), 11 deletions(-)

diff --git a/torchvision/models/_api.py b/torchvision/models/_api.py
index 22073d9c28d..52ac070e6d3 100644
--- a/torchvision/models/_api.py
+++ b/torchvision/models/_api.py
@@ -112,10 +112,7 @@ def get_weight(name: str) -> WeightsEnum:
     return weights_enum.from_str(value_name)
 
 
-W = TypeVar("W", bound=WeightsEnum)
-
-
-def get_model_weights(name: Union[Callable, str]) -> W:
+def get_model_weights(name: Union[Callable, str]) -> WeightsEnum:
     """
     Retuns the weights enum class associated to the given model.
 
@@ -125,10 +122,10 @@ def get_model_weights(name: Union[Callable, str]) -> W:
         name (callable or str): The model builder function or the name under which it is registered.
 
     Returns:
-        weights_enum (W): The weights enum class associated with the model.
+        weights_enum (WeightsEnum): The weights enum class associated with the model.
     """
     model = get_model_builder(name) if isinstance(name, str) else name
-    return cast(W, _get_enum_from_fn(model))
+    return _get_enum_from_fn(model)
 
 
 def _get_enum_from_fn(fn: Callable) -> WeightsEnum:
@@ -199,7 +196,7 @@ def list_models(module: Optional[ModuleType] = None) -> List[str]:
     return sorted(models)
 
 
-def get_model_builder(name: str) -> Callable[..., M]:
+def get_model_builder(name: str) -> Callable[..., nn.Module]:
     """
     Gets the model name and returns the model builder method.
 
@@ -219,7 +216,7 @@ def get_model_builder(name: str) -> Callable[..., M]:
     return fn
 
 
-def get_model(name: str, **config: Any) -> M:
+def get_model(name: str, **config: Any) -> nn.Module:
     """
     Gets the model name and configuration and returns an instantiated model.
 
diff --git a/torchvision/prototype/datasets/utils/_internal.py b/torchvision/prototype/datasets/utils/_internal.py
index 6768469be67..0385d98c2f5 100644
--- a/torchvision/prototype/datasets/utils/_internal.py
+++ b/torchvision/prototype/datasets/utils/_internal.py
@@ -2,7 +2,7 @@
 import functools
 import pathlib
 import pickle
-from typing import Any, BinaryIO, Callable, cast, Dict, IO, Iterator, List, Sequence, Sized, Tuple, TypeVar, Union
+from typing import Any, BinaryIO, Callable, Dict, IO, Iterator, List, Sequence, Sized, Tuple, TypeVar, Union
 
 import torch
 import torch.distributed as dist
@@ -72,8 +72,8 @@ def _getattr_closure(obj: Any, *, attrs: Sequence[str]) -> Any:
     return obj
 
 
-def _path_attribute_accessor(path: pathlib.Path, *, name: str) -> D:
-    return cast(D, _getattr_closure(path, attrs=name.split(".")))
+def _path_attribute_accessor(path: pathlib.Path, *, name: str) -> Any:
+    return _getattr_closure(path, attrs=name.split("."))
 
 
 def _path_accessor_closure(data: Tuple[str, Any], *, getter: Callable[[pathlib.Path], D]) -> D: