Skip to content

[Perf] Optimize Wan2.2 rotary embedding #2393

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
david6666666 merged 2 commits into from
Apr 2, 2026
+8 −4
Merged

[Perf] Optimize Wan2.2 rotary embedding #2393

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
4714896
[Perf] Optimize Wan2.2 rotary embedding
gcanlin Apr 1, 2026
536fbae
Merge branch 'main' into rope-perf
gcanlin Apr 1, 2026
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
12 changes: 8 additions & 4 deletions vllm_omni/diffusion/models/wan2_2/wan2_2_transformer.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -52,10 +52,14 @@ def apply_rotary_emb_wan(
x1, x2 = hidden_states.unflatten(-1, (-1, 2)).unbind(-1)
cos = freqs_cos[..., 0::2]
sin = freqs_sin[..., 1::2]
out = torch.empty_like(hidden_states)
out[..., 0::2] = x1 * cos - x2 * sin
out[..., 1::2] = x1 * sin + x2 * cos
return out.type_as(hidden_states)
rotated = torch.stack(
(
x1 * cos - x2 * sin,
x1 * sin + x2 * cos,
),
dim=-1,
)
return rotated.flatten(-2, -1).to(hidden_states.dtype)


class DistributedRMSNorm(nn.Module):
Expand Down
Loading