Skip to content

[Bug] Fix fp8 deepgemm batch invariant #37718

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

Open
yewentao256 wants to merge 1 commit into
base: main
Choose a base branch
from
+5 −0
Open

[Bug] Fix fp8 deepgemm batch invariant #37718

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
5 changes: 5 additions & 0 deletions vllm/model_executor/layers/quantization/utils/fp8_utils.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -305,6 +305,11 @@ def run_deepgemm(
)
return output

from vllm.model_executor.layers.batch_invariant import vllm_is_batch_invariant

if vllm_is_batch_invariant():
return run_deepgemm(input, weight, weight_scale)

condition = input.shape[0] < 32

# PyTorch's torch.compile cannot handle input-dependent control flow in standard
Expand Down
Loading