forked from tangger/lerobot
Remove prints
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@@ -57,7 +57,6 @@ class RandomSubsetApply(Transform):
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selected_indices = selected_indices.sort().values
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selected_indices = selected_indices.sort().values
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selected_transforms = [self.transforms[i] for i in selected_indices]
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selected_transforms = [self.transforms[i] for i in selected_indices]
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print(selected_transforms)
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for transform in selected_transforms:
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for transform in selected_transforms:
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outputs = transform(*inputs)
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outputs = transform(*inputs)
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@@ -93,7 +92,6 @@ class RangeRandomSharpness(Transform):
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def _transform(self, inpt: Any, params: Dict[str, Any]) -> Any:
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def _transform(self, inpt: Any, params: Dict[str, Any]) -> Any:
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sharpness_factor = self.range_min + (self.range_max - self.range_min) * torch.rand(1).item()
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sharpness_factor = self.range_min + (self.range_max - self.range_min) * torch.rand(1).item()
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print(f"{sharpness_factor=}")
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return self._call_kernel(F.adjust_sharpness, inpt, sharpness_factor=sharpness_factor)
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return self._call_kernel(F.adjust_sharpness, inpt, sharpness_factor=sharpness_factor)
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