fix(rewards/topreward): fix pyproject extra typo and simplify processor (#3653)

Add lerobot[topreward] extra to all in
pyproject.toml, drop the redundant labels arg in scoring, and
collapse the dead-branch shape check in the encoder processor.

pyproject.toml

@@ -287,6 +287,7 @@ all = [
     "lerobot[libero]; sys_platform == 'linux'",
     "lerobot[metaworld]",
     "lerobot[sarm]",
+    "lerobot[topreward]",
     "lerobot[peft]",
     # "lerobot[unitree_g1]", TODO: Unitree requires specific installation instructions for unitree_sdk2
 ]

src/lerobot/rewards/topreward/modeling_topreward.py

@@ -140,7 +140,7 @@ class TOPRewardModel(PreTrainedRewardModel):
 
         self.eval()
         with torch.no_grad():
-            outputs = self.model(**inputs, labels=labels)
+            outputs = self.model(**inputs)
 
         logits = outputs.logits[:, :-1, :]
         target_labels = labels[:, 1:]

src/lerobot/rewards/topreward/processor_topreward.py

@@ -286,10 +286,9 @@ class TOPRewardEncoderProcessorStep(ProcessorStep):
                         padded.append(t)
                 result[key] = torch.cat(padded, dim=0)
             else:
-                if all(t.shape == tensors[0].shape for t in tensors):
+                # Vision tensors (pixel_values_videos, image_grid_thw, etc.) are expected
-                    result[key] = torch.cat(tensors, dim=0)
+                # to have matching shapes since max_frames is applied uniformly per batch
-                else:
+                result[key] = torch.cat(tensors, dim=0)
-                    result[key] = torch.cat(tensors, dim=0)
 
         for key in encoded_list[0]:
             if key not in result:

uv.lock

@@ -3172,6 +3172,7 @@ requires-dist = [
     { name = "lerobot", extras = ["scipy-dep"], marker = "extra == 'wallx'" },
     { name = "lerobot", extras = ["smolvla"], marker = "extra == 'all'" },
     { name = "lerobot", extras = ["test"], marker = "extra == 'all'" },
+    { name = "lerobot", extras = ["topreward"], marker = "extra == 'all'" },
     { name = "lerobot", extras = ["training"], marker = "extra == 'all'" },
     { name = "lerobot", extras = ["transformers-dep"], marker = "extra == 'eo1'" },
     { name = "lerobot", extras = ["transformers-dep"], marker = "extra == 'groot'" },