2023-01-25 13:19:50 +00:00
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'''
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This code was copied from
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https://github.com/PygmalionAI/gradio-ui/
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'''
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2023-02-23 17:41:42 +00:00
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2023-01-25 13:19:50 +00:00
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import torch
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import transformers
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2023-02-23 17:41:42 +00:00
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2023-01-25 13:19:50 +00:00
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class _SentinelTokenStoppingCriteria(transformers.StoppingCriteria):
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def __init__(self, sentinel_token_ids: torch.LongTensor,
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starting_idx: int):
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transformers.StoppingCriteria.__init__(self)
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self.sentinel_token_ids = sentinel_token_ids
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self.starting_idx = starting_idx
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def __call__(self, input_ids: torch.LongTensor,
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_scores: torch.FloatTensor) -> bool:
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for sample in input_ids:
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trimmed_sample = sample[self.starting_idx:]
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# Can't unfold, output is still too tiny. Skip.
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if trimmed_sample.shape[-1] < self.sentinel_token_ids.shape[-1]:
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continue
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for window in trimmed_sample.unfold(
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0, self.sentinel_token_ids.shape[-1], 1):
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if torch.all(torch.eq(self.sentinel_token_ids, window)):
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return True
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return False
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