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Fix adoption prompt issues #5

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merged 1 commit into from
Dec 12, 2023
Merged

Fix adoption prompt issues #5

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8 changes: 8 additions & 0 deletions src/peft/peft_model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1138,11 +1138,15 @@ def generate(self, **kwargs):
def prepare_inputs_for_generation(self, *args, task_ids: torch.Tensor = None, **kwargs):
peft_config = self.active_peft_config
model_kwargs = self.base_model_prepare_inputs_for_generation(*args, **kwargs)

_uses_transformers_4_26 = True

if peft_config.is_prompt_learning:
if model_kwargs.get("attention_mask", None) is not None:
if packaging.version.parse(transformers.__version__) < packaging.version.parse("4.36.0"):
# TODO figure out why this workaround is necessary, see #1252 for context
size = model_kwargs["input_ids"].shape[0], peft_config.num_virtual_tokens
_uses_transformers_4_26 = False
elif model_kwargs["past_key_values"] is None:
size = model_kwargs["input_ids"].shape[0], peft_config.num_virtual_tokens
else:
Expand Down Expand Up @@ -1174,6 +1178,10 @@ def prepare_inputs_for_generation(self, *args, task_ids: torch.Tensor = None, **
model_kwargs["inputs_embeds"] = torch.cat((prompts, inputs_embeds), dim=1)
model_kwargs["input_ids"] = None

if _uses_transformers_4_26:
# TODO: why?
model_kwargs = self.base_model_prepare_inputs_for_generation(**model_kwargs)

return model_kwargs


Expand Down