Make policies compatible with other/multiple image keys (#149)

This commit is contained in:
Alexander Soare
2024-05-16 13:51:53 +01:00
committed by GitHub
parent f52f4f2cd2
commit 68c1b13406
9 changed files with 107 additions and 69 deletions

View File

@@ -148,14 +148,21 @@ class DiffusionConfig:
raise ValueError(
f"`vision_backbone` must be one of the ResNet variants. Got {self.vision_backbone}."
)
# There should only be one image key.
image_keys = {k for k in self.input_shapes if k.startswith("observation.image")}
if len(image_keys) != 1:
raise ValueError(
f"{self.__class__.__name__} only handles one image for now. Got image keys {image_keys}."
)
image_key = next(iter(image_keys))
if (
self.crop_shape[0] > self.input_shapes["observation.image"][1]
or self.crop_shape[1] > self.input_shapes["observation.image"][2]
self.crop_shape[0] > self.input_shapes[image_key][1]
or self.crop_shape[1] > self.input_shapes[image_key][2]
):
raise ValueError(
f'`crop_shape` should fit within `input_shapes["observation.image"]`. Got {self.crop_shape} '
f'for `crop_shape` and {self.input_shapes["observation.image"]} for '
'`input_shapes["observation.image"]`.'
f"`crop_shape` should fit within `input_shapes[{image_key}]`. Got {self.crop_shape} "
f"for `crop_shape` and {self.input_shapes[image_key]} for "
"`input_shapes[{image_key}]`."
)
supported_prediction_types = ["epsilon", "sample"]
if self.prediction_type not in supported_prediction_types: