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add prefix extension

master
Florin Tobler 6 months ago
parent
commit
91c7ee993d
  1. 17
      inference.py

17
inference.py

@ -121,13 +121,26 @@ class Inference:
return generated_tokens, full_output return generated_tokens, full_output
def tokenize(self, messages: list[dict], tokenize: bool) -> str | torch.Tensor: def tokenize(self, messages: list[dict], tokenize: bool, assistant_prefix: str = None) -> str | torch.Tensor:
if tokenize: if tokenize:
inputs = self.tokenizer.apply_chat_template(messages, return_tensors="pt", tokenize=True, return_dict=True, add_generation_prompt=True) #continue_final_message=True, inputs = self.tokenizer.apply_chat_template(messages, return_tensors="pt", tokenize=True, return_dict=True, add_generation_prompt=True) #continue_final_message=True,
inputs = {key: value.to(self.model.device) for key, value in inputs.items()} inputs = {key: value.to(self.model.device) for key, value in inputs.items()}
return inputs["input_ids"] input_ids = inputs["input_ids"]
# Append the assistant prefix if provided
if assistant_prefix:
prefix_ids = self.tokenizer(assistant_prefix, return_tensors="pt")["input_ids"]
input_ids = torch.cat([input_ids, prefix_ids.to(self.model.device)], dim=-1)
return input_ids
else: else:
# only plain text generation
message = self.tokenizer.apply_chat_template(messages, return_tensors="pt", tokenize=False, add_generation_prompt=False) message = self.tokenizer.apply_chat_template(messages, return_tensors="pt", tokenize=False, add_generation_prompt=False)
# Append the assistant prefix to raw text if provided
if assistant_prefix:
message += f"<|im_start|>assistant\n{assistant_prefix}"
return message return message

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