Skip to content

Revert "[Bugfix] default set cuda_graph_sizes to max_num_seqs for v1 engine" #20128

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

Merged
merged 1 commit into from
Jun 26, 2025
Merged

Revert "[Bugfix] default set cuda_graph_sizes to max_num_seqs for v1 engine" #20128

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
13 changes: 4 additions & 9 deletions vllm/config.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2042,12 +2042,11 @@ class SchedulerConfig:
NOTE: This will be replaced by speculative config in the future; it is
present to enable correctness tests until then."""

cuda_graph_sizes: list[int] = field(default_factory=list)
"""Cuda graph capture sizes
1. if none provided, then default set to [max_num_seqs]
2. if one value is provided, then the capture list would follow the
cuda_graph_sizes: list[int] = field(default_factory=lambda: [512])
"""Cuda graph capture sizes, default is 512.
1. if one value is provided, then the capture list would follow the
pattern: [1, 2, 4] + [i for i in range(8, cuda_graph_sizes + 1, 8)]
3. more than one value (e.g. 1 2 128) is provided, then the capture list
2. more than one value (e.g. 1 2 128) is provided, then the capture list
will follow the provided list."""
Comment on lines +2045 to 2050
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

medium

The documentation should be updated to reflect the new default value and the behavior when no value is provided.


delay_factor: float = 0.0
Expand Down Expand Up @@ -2212,10 +2211,6 @@ def __post_init__(self) -> None:
self.max_num_partial_prefills, self.max_long_partial_prefills,
self.long_prefill_token_threshold)

# If cuda_graph_sizes is not specified, default set to [max_num_seqs].
if not self.cuda_graph_sizes:
self.cuda_graph_sizes = [self.max_num_seqs]

@model_validator(mode='after')
def _verify_args(self) -> Self:
if (self.max_num_batched_tokens < self.max_model_len
Expand Down