Skip to content
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

Clearer error for SDPA when explicitely requested #28006

Merged
merged 2 commits into from
Jan 16, 2024
Merged

Clearer error for SDPA when explicitely requested #28006

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
8093291
clearer error for sdpa
fxmarty Dec 13, 2023
3790904
better message
fxmarty Dec 13, 2023
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
5 changes: 3 additions & 2 deletions src/transformers/modeling_utils.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -1462,8 +1462,9 @@ def _check_and_enable_sdpa(cls, config, hard_check_only: bool = False) -> Pretra
if hard_check_only:
if not cls._supports_sdpa:
raise ValueError(
f"{cls.__name__} does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please open an issue on GitHub to "
"request support for this architecture: https://github.com/huggingface/transformers/issues/new"
f"{cls.__name__} does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet."
" Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe"
' this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation="eager"` meanwhile. Example: `model = AutoModel.from_pretrained("openai/whisper-tiny", attn_implementation="eager")`'
)
if not is_torch_sdpa_available():
raise ImportError(
Expand Down
Loading