Skip to content

Add apply_router_weight_on_input to CompressedTensorsWNA16MoEMethod's… #4

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
Apr 5, 2025
Merged

Add apply_router_weight_on_input to CompressedTensorsWNA16MoEMethod's… #4

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/compressed_tensors/compressed_tensors_moe.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -783,13 +783,18 @@ def apply(
custom_routing_function: Optional[Callable] = None,
scoring_func: str = "softmax",
e_score_correction_bias: Optional[torch.Tensor] = None,
apply_router_weight_on_input: bool = False,
activation: str = "silu",
) -> torch.Tensor:
assert activation == "silu", "Only SiLU activation is supported."
if expert_map is not None:
raise NotImplementedError(
"Expert Parallelism is not supported for "
"fused Marlin MoE method.")
if apply_router_weight_on_input:
raise NotImplementedError(
"Apply router weight on input is not supported for "
"fused Marlin MoE method.")
Copy link
Collaborator

@sarckk sarckk Apr 5, 2025

Choose a reason for hiding this comment

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

Suggested change
"fused Marlin MoE method.")
"CompressedTensorsWNA16 MoE method.")


topk_weights, topk_ids = FusedMoE.select_experts(
hidden_states=x,
Expand Down
Loading