Fix deprecation warnings for int div #15180
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Co-authored-by: mgoldey <matthew.goldey@gmail.com>
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| @@ -302,6 +302,8 @@ def __call__(self, features: List[Dict[str, Union[List[int], torch.Tensor]]]) -> | |||
| batch_size = batch["input_values"].shape[0] | |||
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| mask_indices_seq_length = self.model._get_feat_extract_output_lengths(batch["input_values"].shape[-1]) | |||
| # make sure masked sequence length is a Python scalar | |||
| mask_indices_seq_length = int(mask_indices_seq_length) | |||
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make sure that torch.tensor(...) is casted to Python scalar if necessary
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Co-authored-by: mgoldey matthew.goldey@gmail.com
What does this PR do?
This PR fixes the int div warnings by using the new API in PyTorch for versions >= 1.8 all the while keeping backward compatibility with older versions.
Supersedes #14577