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Fix logprobs tokens in OpenAI API (#5339)
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@ -22,7 +22,7 @@ from modules.chat import (
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load_instruction_template_memoized
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)
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from modules.presets import load_preset_memoized
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from modules.text_generation import decode, encode, generate_reply
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from modules.text_generation import decode, encode, generate_reply, get_reply_from_output_ids
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class LogitsBiasProcessor(LogitsProcessor):
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@ -56,7 +56,7 @@ class LogprobProcessor(LogitsProcessor):
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if self.logprobs is not None: # 0-5
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log_e_probabilities = F.log_softmax(logits, dim=1)
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top_values, top_indices = torch.topk(log_e_probabilities, k=self.logprobs + 1)
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top_tokens = [decode(tok) for tok in top_indices[0]]
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top_tokens = [get_reply_from_output_ids([tok]) for tok in top_indices[0]]
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top_probs = [float(x) for x in top_values[0]]
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self.token_alternatives = dict(zip(top_tokens, top_probs))
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debug_msg(repr(self))
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@ -268,8 +268,8 @@ def apply_stopping_strings(reply, all_stop_strings):
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return reply, stop_found
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def get_reply_from_output_ids(output_ids, state, starting_from=0):
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reply = decode(output_ids[starting_from:], state['skip_special_tokens'])
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def get_reply_from_output_ids(output_ids, state=None, starting_from=0):
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reply = decode(output_ids[starting_from:], state['skip_special_tokens'] if state else True)
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# Handle tokenizers that do not add the leading space for the first token
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if (hasattr(shared.tokenizer, 'convert_ids_to_tokens') and len(output_ids) > starting_from) and not reply.startswith(' '):
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