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Fix Seq2SeqTrainer crash when BatchEncoding data is None #31418

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merged 1 commit into from
Jul 8, 2024
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Fix Seq2SeqTrainer crash when BatchEncoding data is None #31418

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2 changes: 1 addition & 1 deletion src/transformers/tokenization_utils_base.py
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Original file line number Diff line number Diff line change
Expand Up @@ -800,7 +800,7 @@ def to(self, device: Union[str, "torch.device"]) -> "BatchEncoding":
# Otherwise it passes the casts down and casts the LongTensor containing the token idxs
# into a HalfTensor
if isinstance(device, str) or is_torch_device(device) or isinstance(device, int):
self.data = {k: v.to(device=device) for k, v in self.data.items()}
self.data = {k: v.to(device=device) for k, v in self.data.items() if v is not None}
else:
logger.warning(f"Attempting to cast a BatchEncoding to type {str(device)}. This is not supported.")
return self
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