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"""Turn guided RTC on for a loaded RM65 SmolVLA policy.
Does not rewrite the checkpoint. ``num_steps`` and ``rtc_config`` live only on
the in-memory config. Relative-action flags are copied from ``config.hub.json``
when the on-disk ``config.json`` lost them.
"""
from __future__ import annotations
import json
import logging
from pathlib import Path
logger = logging.getLogger(__name__)
def enable_smolvla_rtc(
policy,
*,
num_steps: int = 4,
execution_horizon: int = 13,
max_guidance_weight: float = 10.0,
ckpt_dir: str | Path | None = None,
):
"""Enable guided RTC and the training-time relative-action postprocess."""
from lerobot.common.policies.rtc.configuration_rtc import RTCConfig
from lerobot.configs.types import RTCAttentionSchedule
config = policy.config
chunk = int(config.chunk_size)
if execution_horizon >= chunk:
raise ValueError(f"execution_horizon ({execution_horizon}) must be < chunk_size ({chunk})")
if num_steps < 1:
raise ValueError(f"num_steps must be positive, got {num_steps}")
hub_path = Path(ckpt_dir) / "config.hub.json" if ckpt_dir else None
if hub_path is not None and hub_path.is_file():
hub = json.loads(hub_path.read_text())
if hub.get("use_relative_actions"):
config.use_relative_actions = True
config.relative_exclude_joints = list(hub.get("relative_exclude_joints") or ["gripper"])
if int(config.n_action_steps) < chunk:
# Hysteresis otherwise freezes the gripper on the unused tail.
config.n_action_steps = chunk
policy.reset()
config.num_steps = int(num_steps)
config.rtc_config = RTCConfig(
enabled=True,
mode="guided",
prefix_attention_schedule=RTCAttentionSchedule.EXP,
max_guidance_weight=float(max_guidance_weight),
execution_horizon=int(execution_horizon),
debug=False,
)
policy.init_rtc_processor()
logger.info(
"RTC on: num_steps=%s horizon=%s chunk=%s relative=%s",
config.num_steps,
config.rtc_config.execution_horizon,
chunk,
bool(getattr(config, "use_relative_actions", False)),
)
return policy