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https://github.com/huggingface/lerobot.git
synced 2026-05-15 08:39:49 +00:00
fix rac data collection with rtc by disabling compile
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@@ -44,13 +44,13 @@ from lerobot.utils.utils import log_say
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from lerobot.utils.visualization_utils import init_rerun
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HF_MODEL_ID = "lerobot-data-collection/three-folds-pi0" # TODO: Replace with your trained model
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HF_EVAL_DATASET_ID = "lerobot-data-collection/three-folds-pi0_eval7" # TODO: Replace with your eval dataset name
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TASK_DESCRIPTION = "three-folds-dataset" # TODO: Replace with your task, this should match!!
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HF_MODEL_ID = "lerobot-data-collection/level1_rac2_100k" # TODO: Replace with your trained model
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HF_EVAL_DATASET_ID = "lerobot-data-collection/three-folds-pi0_eval_raccc3" # TODO: Replace with your eval dataset name
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TASK_DESCRIPTION = "Fold the T-shirt properly" # TODO: Replace with your task, this should match!!
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NUM_EPISODES = 1
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FPS = 30
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EPISODE_TIME_SEC = 300
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EPISODE_TIME_SEC = 1000
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RESET_TIME_SEC = 60
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# Robot CAN interfaces
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@@ -58,15 +58,15 @@ FOLLOWER_LEFT_PORT = "can0"
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FOLLOWER_RIGHT_PORT = "can1"
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# If enabled, you can manually reset the environment between evaluation episodes
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USE_LEADER_FOR_RESETS = True # Set to False if you don't want to use leader
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USE_LEADER_FOR_RESETS = False # Set to False if you don't want to use leader
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LEADER_LEFT_PORT = "can2"
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LEADER_RIGHT_PORT = "can3"
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# Camera configuration
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CAMERA_CONFIG = {
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"left_wrist": OpenCVCameraConfig(index_or_path="/dev/video5", width=640, height=480, fps=FPS),
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"right_wrist": OpenCVCameraConfig(index_or_path="/dev/video1", width=640, height=480, fps=FPS),
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"base": OpenCVCameraConfig(index_or_path="/dev/video3", width=640, height=480, fps=FPS),
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"left_wrist": OpenCVCameraConfig(index_or_path="/dev/video0", width=1280, height=720, fps=FPS),
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"right_wrist": OpenCVCameraConfig(index_or_path="/dev/video5", width=1280, height=720, fps=FPS),
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"base": OpenCVCameraConfig(index_or_path="/dev/video2", width=640, height=480, fps=FPS),
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}
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def main():
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@@ -73,22 +73,22 @@ logger = logging.getLogger(__name__)
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# Default Configuration Constants
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# ============================================================================
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DEFAULT_HF_MODEL_ID = "lerobot-data-collection/three-folds-pi0"
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DEFAULT_HF_EVAL_DATASET_ID = "lerobot-data-collection/three-folds-pi0_eval_rtc"
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DEFAULT_TASK_DESCRIPTION = "three-folds-dataset"
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DEFAULT_HF_MODEL_ID = "lerobot-data-collection/level1_rac3_100k"
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DEFAULT_HF_EVAL_DATASET_ID = "lerobot-data-collection/test"
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DEFAULT_TASK_DESCRIPTION = "Fold the T-shirt properly"
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DEFAULT_NUM_EPISODES = 1
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DEFAULT_FPS = 30
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DEFAULT_EPISODE_TIME_SEC = 300
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DEFAULT_EPISODE_TIME_SEC = 1000
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DEFAULT_RESET_TIME_SEC = 60
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DEFAULT_FOLLOWER_LEFT_PORT = "can0"
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DEFAULT_FOLLOWER_RIGHT_PORT = "can1"
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DEFAULT_CAMERA_CONFIG = {
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"left_wrist": OpenCVCameraConfig(index_or_path="/dev/video5", width=640, height=480, fps=DEFAULT_FPS),
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"right_wrist": OpenCVCameraConfig(index_or_path="/dev/video1", width=640, height=480, fps=DEFAULT_FPS),
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"base": OpenCVCameraConfig(index_or_path="/dev/video3", width=640, height=480, fps=DEFAULT_FPS),
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"left_wrist": OpenCVCameraConfig(index_or_path="/dev/video0", width=1280, height=720, fps=DEFAULT_FPS),
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"right_wrist": OpenCVCameraConfig(index_or_path="/dev/video4", width=1280, height=720, fps=DEFAULT_FPS),
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"base": OpenCVCameraConfig(index_or_path="/dev/video2", width=640, height=480, fps=DEFAULT_FPS),
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}
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@@ -141,9 +141,9 @@ class OpenArmsRTCEvalConfig(HubMixin):
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rtc: RTCConfig = field(
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default_factory=lambda: RTCConfig(
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enabled=True,
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execution_horizon=10,
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max_guidance_weight=10.0,
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prefix_attention_schedule=RTCAttentionSchedule.EXP,
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execution_horizon=20,
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max_guidance_weight=5.0,
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prefix_attention_schedule=RTCAttentionSchedule.LINEAR,
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)
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)
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@@ -167,7 +167,7 @@ class OpenArmsRTCEvalConfig(HubMixin):
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record_dataset: bool = True
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push_to_hub: bool = True
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interpolation: bool = False
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interpolation: bool = True
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use_torch_compile: bool = False
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torch_compile_backend: str = "inductor"
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@@ -130,6 +130,10 @@ class RaCRTCConfig:
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resume: bool = False
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device: str = "cuda"
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action_queue_size_to_get_new_actions: int = 30
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# Torch compile is disabled by default for real-time inference
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# First inference with compile takes minutes to compile kernels
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use_torch_compile: bool = False
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def __post_init__(self):
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policy_path = parser.get_path_arg("policy")
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@@ -735,7 +739,14 @@ def rac_rtc_collect(cfg: RaCRTCConfig) -> LeRobotDataset:
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# Load policy
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logger.info(f"Loading policy from: {cfg.policy.pretrained_path}")
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policy_class = get_policy_class(cfg.policy.type)
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policy = policy_class.from_pretrained(cfg.policy.pretrained_path)
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# Override compile_model for real-time inference (first compile takes minutes)
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policy_config = PreTrainedConfig.from_pretrained(cfg.policy.pretrained_path)
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if cfg.policy.type in ["pi05", "pi0"]:
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policy_config.compile_model = cfg.use_torch_compile
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logger.info(f"Set compile_model={cfg.use_torch_compile} for real-time inference")
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policy = policy_class.from_pretrained(cfg.policy.pretrained_path, config=policy_config)
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policy.config.rtc_config = cfg.rtc
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policy.init_rtc_processor()
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policy = policy.to(cfg.device)
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