Skip to content

[Bugfix] fix error due to an uninitialized tokenizer when using skip_tokenizer_init with num_scheduler_steps #9276

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

Merged
Merged
Changes from all commits
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
2 changes: 1 addition & 1 deletion vllm/engine/output_processor/multi_step.py
Original file line number Diff line number Diff line change
Expand Up @@ -178,7 +178,7 @@ def _process_seq_outputs(self, seq: Sequence,
# generates a fixed number of tokens without evaluating stopping
# conditions within the block. This can cause an eos token to be
# unintentionally ignored.
if not sampling_params.ignore_eos:
if not sampling_params.ignore_eos and self.detokenizer:
eos_token_id = self.get_tokenizer_for_seq(seq).eos_token_id
# Avoiding .index calls as exception throwing in the happy path
# is expensive.
Expand Down