diff --git a/test/test_rb.py b/test/test_rb.py
index f56baf6a1e9..571582f19e9 100644
--- a/test/test_rb.py
+++ b/test/test_rb.py
@@ -830,6 +830,8 @@ def test_smoke_replay_buffer_transform(transform):
 
 @pytest.mark.parametrize("transform", transforms)
 def test_smoke_replay_buffer_transform_no_inkeys(transform):
+    if PinMemoryTransform is PinMemoryTransform and not torch.cuda.is_available():
+        raise pytest.skip("No CUDA device detected, skipping PinMemory")
     rb = ReplayBuffer(collate_fn=lambda x: torch.stack(x, 0), transform=transform())
 
     td = TensorDict({"observation": torch.randn(3, 3, 3, 16, 1)}, [])
diff --git a/torchrl/envs/transforms/transforms.py b/torchrl/envs/transforms/transforms.py
index f56c6ae171a..a79de3a1e81 100644
--- a/torchrl/envs/transforms/transforms.py
+++ b/torchrl/envs/transforms/transforms.py
@@ -2632,19 +2632,18 @@ def reset(self, tensordict: TensorDictBase) -> TensorDictBase:
             )
             for in_key, out_key in zip(self.in_keys, self.out_keys):
                 if out_key in tensordict.keys():
-                    z = torch.zeros_like(tensordict[out_key])
-                    _reset = _reset.view_as(z)
-                    tensordict[out_key][_reset] = z[_reset]
+                    value = tensordict[out_key]
+                    dtype = value.dtype
+                    tensordict[out_key] = value * (~_reset).to(dtype)
                 elif in_key == "reward":
                     # Since the episode reward is not in the tensordict, we need to allocate it
                     # with zeros entirely (regardless of the _reset mask)
-                    z = self.parent.reward_spec.zero(self.parent.batch_size)
-                    tensordict[out_key] = z
+                    tensordict[out_key] = self.parent.reward_spec.zero()
                 else:
                     try:
-                        tensordict[out_key] = self.parent.observation_spec[in_key].zero(
-                            self.parent.batch_size
-                        )
+                        tensordict[out_key] = self.parent.observation_spec[
+                            in_key
+                        ].zero()
                     except KeyError as err:
                         raise KeyError(
                             f"The key {in_key} was not found in the parent "