forked from tangger/lerobot
feat(train): enhance processor overrides with normalizer and unnormalizer stats (#2038)
This commit is contained in:
@@ -185,7 +185,13 @@ def train(cfg: TrainPipelineConfig):
|
|||||||
processor_kwargs["dataset_stats"] = dataset.meta.stats
|
processor_kwargs["dataset_stats"] = dataset.meta.stats
|
||||||
|
|
||||||
if cfg.policy.pretrained_path is not None:
|
if cfg.policy.pretrained_path is not None:
|
||||||
processor_kwargs["preprocessor_overrides"] = {"device_processor": {"device": device.type}}
|
processor_kwargs["preprocessor_overrides"] = {
|
||||||
|
"device_processor": {"device": device.type},
|
||||||
|
"normalizer_processor": {"stats": dataset.meta.stats},
|
||||||
|
}
|
||||||
|
processor_kwargs["postprocessor_overrides"] = {
|
||||||
|
"unnormalizer_processor": {"stats": dataset.meta.stats},
|
||||||
|
}
|
||||||
|
|
||||||
preprocessor, postprocessor = make_pre_post_processors(
|
preprocessor, postprocessor = make_pre_post_processors(
|
||||||
policy_cfg=cfg.policy, pretrained_path=cfg.policy.pretrained_path, **processor_kwargs
|
policy_cfg=cfg.policy, pretrained_path=cfg.policy.pretrained_path, **processor_kwargs
|
||||||
|
|||||||
Reference in New Issue
Block a user