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.

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

Fix error when encoding empty set of strings with convert_to_tensor=True #1775

Merged
merged 2 commits into from
Dec 18, 2023
Merged
Changes from 1 commit
Commits
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: 4 additions & 1 deletion sentence_transformers/SentenceTransformer.py
Original file line number Diff line number Diff line change
Expand Up @@ -192,7 +192,10 @@ def encode(self, sentences: Union[str, List[str]],
all_embeddings = [all_embeddings[idx] for idx in np.argsort(length_sorted_idx)]

if convert_to_tensor:
all_embeddings = torch.stack(all_embeddings)
if len(all_embeddings) == 0:
all_embeddings = torch.Tensor()
else:
all_embeddings = torch.stack(all_embeddings)
tomaarsen marked this conversation as resolved.
Show resolved Hide resolved
elif convert_to_numpy:
all_embeddings = np.asarray([emb.numpy() for emb in all_embeddings])

Expand Down