diff --git a/tensordict/base.py b/tensordict/base.py
index 5ffc217b3..b72ce7fbc 100644
--- a/tensordict/base.py
+++ b/tensordict/base.py
@@ -10666,7 +10666,13 @@ def to(self: T, *, other: T, non_blocking: bool = ...) -> T: ...
     def to(self: T, *, batch_size: torch.Size) -> T: ...
 
     def _to_cuda_with_pin_mem(
-        self, *, num_threads, device="cuda", non_blocking=None, to: Callable
+        self,
+        *,
+        num_threads,
+        device="cuda",
+        non_blocking=None,
+        to: Callable,
+        inplace: bool = False,
     ):
         if self.is_empty():
             return self.to(device)
@@ -10701,6 +10707,8 @@ def _to_cuda_with_pin_mem(
             is_leaf=_NESTED_TENSORS_AS_LISTS,
             propagate_lock=True,
             device=device,
+            out=self if inplace else None,
+            checked=True,
         )
         return result
 
diff --git a/tensordict/tensorclass.pyi b/tensordict/tensorclass.pyi
index eec014faa..63cdaa181 100644
--- a/tensordict/tensorclass.pyi
+++ b/tensordict/tensorclass.pyi
@@ -69,13 +69,13 @@ T = TypeVar("T", bound="TensorDictBase")
 class TensorClass:
     def __init__(
         self,
-        # *args,
+        *args,
         batch_size: Sequence[int] | torch.Size | int | None = None,
         device: DeviceType | None = None,
         names: Sequence[str] | None = None,
         non_blocking: bool | None = None,
         lock: bool = False,
-        # **kwargs,
+        **kwargs,
     ) -> None: ...
     @property
     def is_meta(self) -> bool: ...