Skip to content

Add inputs_embeds support for .generate() with BLOOM models #21430

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
sgugger merged 1 commit into from
Feb 3, 2023
Merged

Add inputs_embeds support for .generate() with BLOOM models #21430

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
21 changes: 15 additions & 6 deletions src/transformers/models/bloom/modeling_bloom.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -842,6 +842,7 @@ def prepare_inputs_for_generation(
input_ids: torch.LongTensor,
past_key_values: Optional[torch.Tensor] = None,
attention_mask: Optional[torch.Tensor] = None,
inputs_embeds: Optional[torch.Tensor] = None,
**kwargs
) -> dict:
# only last token for input_ids if past is not None
Expand All @@ -852,12 +853,20 @@ def prepare_inputs_for_generation(
if past_key_values[0][0].shape[0] == input_ids.shape[0]:
past_key_values = self._convert_to_bloom_cache(past_key_values)

return {
"input_ids": input_ids,
"past_key_values": past_key_values,
"use_cache": kwargs.get("use_cache"),
"attention_mask": attention_mask,
}
# if `inputs_embeds` are passed, we only want to use them in the 1st generation step
if inputs_embeds is not None and past_key_values is None:
model_inputs = {"inputs_embeds": inputs_embeds}
else:
model_inputs = {"input_ids": input_ids}

model_inputs.update(
{
"past_key_values": past_key_values,
"use_cache": kwargs.get("use_cache"),
"attention_mask": attention_mask,
}
)
return model_inputs

@add_start_docstrings_to_model_forward(BLOOM_INPUTS_DOCSTRING)
@add_code_sample_docstrings(
Expand Down