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chore: use alias & constants (#2785)
* chore: use alias and constants * fix(rl): solve circular dependecy * chore: nit right constant * chore: pre-commit * chore(script): conflict tokenizer train --------- Signed-off-by: Steven Palma <imstevenpmwork@ieee.org>
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@@ -21,6 +21,7 @@ from lerobot.configs.types import FeatureType, NormalizationMode, PolicyFeature
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from lerobot.optim.optimizers import AdamWConfig
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from lerobot.optim.schedulers import CosineDecayWithWarmupSchedulerConfig
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from lerobot.policies.rtc.configuration_rtc import RTCConfig
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from lerobot.utils.constants import ACTION, OBS_IMAGES, OBS_STATE
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DEFAULT_IMAGE_SIZE = 224
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@@ -117,26 +118,26 @@ class PI05Config(PreTrainedConfig):
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def validate_features(self) -> None:
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"""Validate and set up input/output features."""
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for i in range(self.empty_cameras):
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key = f"observation.images.empty_camera_{i}"
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key = OBS_IMAGES + f".empty_camera_{i}"
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empty_camera = PolicyFeature(
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type=FeatureType.VISUAL,
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shape=(3, *self.image_resolution), # Use configured image resolution
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)
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self.input_features[key] = empty_camera
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if "observation.state" not in self.input_features:
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if OBS_STATE not in self.input_features:
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state_feature = PolicyFeature(
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type=FeatureType.STATE,
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shape=(self.max_state_dim,), # Padded to max_state_dim
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)
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self.input_features["observation.state"] = state_feature
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self.input_features[OBS_STATE] = state_feature
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if "action" not in self.output_features:
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if ACTION not in self.output_features:
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action_feature = PolicyFeature(
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type=FeatureType.ACTION,
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shape=(self.max_action_dim,), # Padded to max_action_dim
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)
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self.output_features["action"] = action_feature
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self.output_features[ACTION] = action_feature
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def get_optimizer_preset(self) -> AdamWConfig:
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return AdamWConfig(
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