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

[Doc] Fix typo #11666

Merged
merged 1 commit into from
Jan 1, 2025
Merged
Show file tree
Hide file tree
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/model_executor/layers/rejection_sampler.py
Original file line number Diff line number Diff line change
Expand Up @@ -39,7 +39,7 @@ def __init__(self,
strict_mode: Whether or not to perform shape/device/dtype checks
during sampling. This catches correctness issues but adds
nontrivial latency.
use_falshinfer: We will use this parameter to determine whether
use_flashinfer: We will use this parameter to determine whether
to use the FlashInfer rejection sampling kernel or not. If it's
None, we will use the default value from the environment variable.
This parameter is only used for testing purposes.
Expand Down
2 changes: 1 addition & 1 deletion vllm/v1/sample/ops/topk_topp_sampler.py
Original file line number Diff line number Diff line change
Expand Up @@ -44,7 +44,7 @@ def __init__(self):
logger.warning(
"FlashInfer is not available. Falling back to the PyTorch-"
"native implementation of top-p & top-k sampling. For the "
"best performance, please install FalshInfer.")
"best performance, please install FlashInfer.")
self.forward = self.forward_native
else:
self.forward = self.forward_native
Expand Down
Loading