Specify dtype=torch.bool to avoid xla error #31191
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The StoppingCriteriaList allocates is_done without specifying dtype=torch.bool. On XLA this allocates a float tensor and causes a failure on the following line: is_done = is_done | criteria(input_ids, scores, **kwargs) by attempting to OR float with bool.
zucchini-nlp
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ArthurZucker
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You're very welcome, and thanks for the quick reviews! |
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The StoppingCriteriaList allocates is_done without specifying dtype=torch.bool. On XLA this allocates a float tensor and causes a failure on the following line: is_done = is_done | criteria(input_ids, scores, **kwargs) by attempting to OR float with bool.
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The StoppingCriteriaList allocates is_done without specifying dtype=torch.bool. On XLA this allocates a float tensor and causes a failure on the following line:
by attempting to OR a float tensor with bool tensor.
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