chore(processor): add Step suffix to all processors (#1854)

* refactor(processor): rename MapDeltaActionToRobotAction and MapTensorToDeltaActionDict for consistency

* refactor(processor): rename DeviceProcessor to DeviceProcessorStep for consistency across modules

* refactor(processor): rename Torch2NumpyActionProcessor to Torch2NumpyActionProcessorStep for consistency

* refactor(processor): rename Numpy2TorchActionProcessor to Numpy2TorchActionProcessorStep for consistency

* refactor(processor): rename AddTeleopActionAsComplimentaryData to AddTeleopActionAsComplimentaryDataStep for consistency

* refactor(processor): rename ImageCropResizeProcessor and AddTeleopEventsAsInfo for consistency

* refactor(processor): rename TimeLimitProcessor to TimeLimitProcessorStep for consistency

* refactor(processor): rename GripperPenaltyProcessor to GripperPenaltyProcessorStep for consistency

* refactor(processor): rename InterventionActionProcessor to InterventionActionProcessorStep for consistency

* refactor(processor): rename RewardClassifierProcessor to RewardClassifierProcessorStep for consistency

* refactor(processor): rename JointVelocityProcessor to JointVelocityProcessorStep for consistency

* refactor(processor): rename MotorCurrentProcessor to MotorCurrentProcessorStep for consistency

* refactor(processor): rename NormalizerProcessor and UnnormalizerProcessor to NormalizerProcessorStep and UnnormalizerProcessorStep for consistency

* refactor(processor): rename VanillaObservationProcessor to VanillaObservationProcessorStep for consistency

* refactor(processor): rename RenameProcessor to RenameProcessorStep for consistency

* refactor(processor): rename TokenizerProcessor to TokenizerProcessorStep for consistency

* refactor(processor): rename ToBatchProcessor to AddBatchDimensionProcessorStep for consistency

* refactor(processor): update config file name in test for RenameProcessorStep consistency

tests/processor/test_sac_processor.py

@@ -25,13 +25,13 @@ from lerobot.constants import ACTION, OBS_STATE
 from lerobot.policies.sac.configuration_sac import SACConfig
 from lerobot.policies.sac.processor_sac import make_sac_pre_post_processors
 from lerobot.processor import (
+    AddBatchDimensionProcessorStep,
     DataProcessorPipeline,
-    DeviceProcessor,
-    NormalizerProcessor,
-    RenameProcessor,
-    ToBatchProcessor,
+    DeviceProcessorStep,
+    NormalizerProcessorStep,
+    RenameProcessorStep,
     TransitionKey,
-    UnnormalizerProcessor,
+    UnnormalizerProcessorStep,
 )
 
 
@@ -91,15 +91,15 @@ def test_make_sac_processor_basic():
 
     # Check steps in preprocessor
     assert len(preprocessor.steps) == 4
-    assert isinstance(preprocessor.steps[0], RenameProcessor)
-    assert isinstance(preprocessor.steps[1], NormalizerProcessor)
-    assert isinstance(preprocessor.steps[2], ToBatchProcessor)
-    assert isinstance(preprocessor.steps[3], DeviceProcessor)
+    assert isinstance(preprocessor.steps[0], RenameProcessorStep)
+    assert isinstance(preprocessor.steps[1], NormalizerProcessorStep)
+    assert isinstance(preprocessor.steps[2], AddBatchDimensionProcessorStep)
+    assert isinstance(preprocessor.steps[3], DeviceProcessorStep)
 
     # Check steps in postprocessor
     assert len(postprocessor.steps) == 2
-    assert isinstance(postprocessor.steps[0], DeviceProcessor)
-    assert isinstance(postprocessor.steps[1], UnnormalizerProcessor)
+    assert isinstance(postprocessor.steps[0], DeviceProcessorStep)
+    assert isinstance(postprocessor.steps[1], UnnormalizerProcessorStep)
 
 
 def test_sac_processor_normalization_modes():
@@ -306,10 +306,10 @@ def test_sac_processor_mixed_precision():
         postprocessor_kwargs={"to_transition": lambda x: x, "to_output": lambda x: x},
     )
 
-    # Replace DeviceProcessor with one that uses float16
+    # Replace DeviceProcessorStep with one that uses float16
     for i, step in enumerate(preprocessor.steps):
-        if isinstance(step, DeviceProcessor):
-            preprocessor.steps[i] = DeviceProcessor(device=config.device, float_dtype="float16")
+        if isinstance(step, DeviceProcessorStep):
+            preprocessor.steps[i] = DeviceProcessorStep(device=config.device, float_dtype="float16")
 
     # Create test data
     observation = {OBS_STATE: torch.randn(10, dtype=torch.float32)}