[Feature] Optional in_keys for WrapModule

tensordict/nn/common.py

@@ -1301,6 +1301,12 @@ class WrapModule(TensorDictModuleBase):
     Keyword Args:
         inplace (bool, optional): If ``True``, the input TensorDict will be modified in-place. Otherwise, a new TensorDict
             will be returned (if the function does not modify it in-place and returns it). Defaults to ``False``.
+        in_keys (list of NestedKey, optional): if provided, indicates what entries are read by the module.
+            This will not be checked and is provided just for the purpose of informing :class:`~tensordict.nn.TensorDictSequential`
+            about the input keys of the wrapped module. Defaults to `[]`.
+        out_keys (list of NestedKey, optional): if provided, indicates what entries are written by the module.
+            This will not be checked and is provided just for the purpose of informing :class:`~tensordict.nn.TensorDictSequential`
+            about the output keys of the wrapped module. Defaults to `[]`.
 
     Examples:
         >>> from tensordict.nn import TensorDictSequential as Seq, TensorDictModule as Mod, WrapModule
@@ -1320,11 +1326,20 @@ class WrapModule(TensorDictModuleBase):
     out_keys = []
 
     def __init__(
-        self, func: Callable[[TensorDictBase], TensorDictBase], *, inplace: bool = False
+        self,
+        func: Callable[[TensorDictBase], TensorDictBase],
+        *,
+        inplace: bool = False,
+        in_keys: List[NestedKey] | None = None,
+        out_keys: List[NestedKey] | None = None,
     ) -> None:
         super().__init__()
         self.func = func
         self.inplace = inplace
+        if in_keys is not None:
+            self.in_keys = in_keys
+        if out_keys is not None:
+            self.out_keys = out_keys
 
     def forward(self, data: TensorDictBase) -> TensorDictBase:
         result = self.func(data)