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Do not schedule decode if max_new_tokens is equal to 1 (#183)

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Co-authored-by: Bartosz Kowalski <bkowalski@habana.ai>
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bkowalskiINTEL 2024-07-16 14:53:24 +02:00 committed by GitHub
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server/text_generation_server/models/causal_lm.py
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@ -985,6 +985,10 @@ class CausalLM(Model):
batch.past_key_values, batch.past_key_values,
bypass_hpu_graph=prefill and self.limit_hpu_graph if self.enable_hpu_graph else None, bypass_hpu_graph=prefill and self.limit_hpu_graph if self.enable_hpu_graph else None,
) )
elif all([req.stopping_criteria.max_new_tokens == 1 for req in batch.requests]):
# Don't schedule next forward if max_new_tokens for all requests equals 1
# - we've already generated the first and only needed token in the prefill phase
pass
else: else:
token_idx = torch.tensor(batch.attention_mask.shape[-1] - batch.right_padding).to(self.device) token_idx = torch.tensor(batch.attention_mask.shape[-1] - batch.right_padding).to(self.device)
input_ids = torch.index_select(batch.input_ids, 1, token_idx - 1) input_ids = torch.index_select(batch.input_ids, 1, token_idx - 1)