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refactor(diffusion): remove normalization layer from input processing
This commit is contained in:
committed by
Steven Palma
parent
1feb7b5d88
commit
f02ce69df0
@@ -124,7 +124,6 @@ class DiffusionPolicy(PreTrainedPolicy):
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if ACTION in batch:
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if ACTION in batch:
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batch.pop(ACTION)
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batch.pop(ACTION)
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batch = self.normalize_inputs(batch)
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if self.config.image_features:
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if self.config.image_features:
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batch = dict(batch) # shallow copy so that adding a key doesn't modify the original
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batch = dict(batch) # shallow copy so that adding a key doesn't modify the original
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batch[OBS_IMAGES] = torch.stack([batch[key] for key in self.config.image_features], dim=-4)
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batch[OBS_IMAGES] = torch.stack([batch[key] for key in self.config.image_features], dim=-4)
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