Allow flexibility for users to pass attention_mask in data_collator #2234
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Allow flexibility for users to pass attention_mask in data loader. If batch[0] contains attention_mask, assign it to the result.
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thanks for your PR |
| torch.ones((inputs_embeds[i].shape[0]), dtype=torch.int64) for i in range(len(inputs_embeds)) | ||
| ] | ||
| if 'attention_mask' in batch[0]: | ||
| res['attention_mask'] = batch[0]['attention_mask'] |
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The batch size may be greater than 1.
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Okay, let me think about how to deal with batch size greater than 1.
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Allow flexibility for users to pass attention_mask in data_collator. If batch[0] contains attention_mask, assign it to the result.
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If batch[0] contains attention_mask, assign it to the result.
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