Skip to content

[Qwen-moe] use npu_add_rms_norm_quant operator #2362

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

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open
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
18 changes: 15 additions & 3 deletions vllm_ascend/models/qwen3_moe.py
Original file line number Diff line number Diff line change
Expand Up @@ -50,7 +50,9 @@
from vllm_ascend.ops.fused_moe import AscendFusedMoE
from vllm_ascend.ops.sequence_parallel import (MetadataForPadding,
init_metadata_for_sp)

from vllm_ascend.ops.layernorm import AddRMSNormW8A8Quant
from vllm_ascend.quantization.w8a8 import AscendW8A8LinearMethod
from vllm_ascend.quantization.quant_config import AscendQuantConfig

class CustomSparseMoeBlock(Qwen3MoeSparseMoeBlock):

Expand Down Expand Up @@ -183,8 +185,18 @@ def __init__(
hidden_act=config.hidden_act,
quant_config=quant_config,
prefix=f"{prefix}.mlp")
self.input_layernorm = RMSNorm(config.hidden_size,
eps=config.rms_norm_eps)

assert isinstance(quant_config, AscendQuantConfig), \
"Expected quant_config to be an instance of AscendQuantConfig"
if isinstance(self.self_attn.qkv_proj.quant_method.quant_method,
AscendW8A8LinearMethod):
self.input_layernorm = AddRMSNormW8A8Quant(
config.hidden_size,
layer=self.self_attn.qkv_proj,
eps=config.rms_norm_eps)
else:
self.input_layernorm = RMSNorm(config.hidden_size,
eps=config.rms_norm_eps)
self.post_attention_layernorm = RMSNorm(config.hidden_size,
eps=config.rms_norm_eps)

Expand Down
Loading