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fix rtc?
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@@ -86,14 +86,20 @@ class FastWAMPolicy(PreTrainedPolicy):
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for layer in mot.layers:
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for layer in mot.layers:
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if "video" in layer.blocks:
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if "video" in layer.blocks:
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layer.blocks["video"].requires_grad_(False)
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layer.blocks["video"].requires_grad_(False)
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self._init_rtc_processor()
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self.init_rtc_processor()
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self.reset()
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self.reset()
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def _init_rtc_processor(self) -> None:
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def init_rtc_processor(self) -> None:
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"""Attach a Real-Time Chunking processor to the core model when configured.
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"""Attach a Real-Time Chunking processor to the core model when configured.
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Mirrors the PI0/PI05 pattern: the policy owns the `RTCProcessor` and hands it to
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Mirrors the PI0/PI05 pattern: the policy owns the `RTCProcessor` and hands it to
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the core `FastWAM` model, which consults it inside `infer_action`'s denoising loop.
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the core `FastWAM` model, which consults it inside `infer_action`'s denoising loop.
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Must stay public and named exactly `init_rtc_processor`: the rollout loader
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(`lerobot.rollout.context`) sets `policy.config.rtc_config = cfg.inference.rtc` and
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then calls `policy.init_rtc_processor()` to (re)build the processor after load, so
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`--inference.type=rtc` alone is enough to enable guidance — no separate policy-side
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`rtc_config` needed. A private/renamed method would be silently skipped (guidance
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off), degrading RTC to unguided async chunk-swapping.
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"""
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"""
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self.rtc_processor = None
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self.rtc_processor = None
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if self.config.rtc_config is not None:
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if self.config.rtc_config is not None:
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