forked from tangger/lerobot
Make sure policies don't mutate the batch (#323)
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@@ -132,6 +132,7 @@ class Normalize(nn.Module):
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# TODO(rcadene): should we remove torch.no_grad?
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@torch.no_grad
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def forward(self, batch: dict[str, Tensor]) -> dict[str, Tensor]:
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batch = dict(batch) # shallow copy avoids mutating the input batch
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for key, mode in self.modes.items():
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buffer = getattr(self, "buffer_" + key.replace(".", "_"))
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@@ -197,6 +198,7 @@ class Unnormalize(nn.Module):
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# TODO(rcadene): should we remove torch.no_grad?
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@torch.no_grad
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def forward(self, batch: dict[str, Tensor]) -> dict[str, Tensor]:
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batch = dict(batch) # shallow copy avoids mutating the input batch
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for key, mode in self.modes.items():
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buffer = getattr(self, "buffer_" + key.replace(".", "_"))
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