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[Cherry-Pick][Optimization]support fused noauxtc kernel on ep mode(#7936) #7917

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Merged
qingqing01 merged 2 commits into from
May 28, 2026
Merged

[Cherry-Pick][Optimization]support fused noauxtc kernel on ep mode(#7936) #7917

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39df605
support fused noauxtc kernel on ep mode
ShaneGZhu May 25, 2026
ef90503
fix unit test
ShaneGZhu May 26, 2026
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5 changes: 5 additions & 0 deletions fastdeploy/model_executor/layers/moe/ep.py
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Original file line number Diff line number Diff line change
Expand Up @@ -27,6 +27,7 @@
import fastdeploy
from fastdeploy import envs
from fastdeploy.config import MoEPhase
from fastdeploy.platforms import current_platform
from fastdeploy.utils import singleton


Expand Down Expand Up @@ -531,6 +532,9 @@ def moe_select(self, layer: nn.Layer, gate_out: paddle.Tensor):
if layer.topk_method == "noaux_tc":
from fastdeploy.model_executor.layers.moe.moe import get_moe_scores

use_fused = (
layer.fd_config.scheduler_config.enable_moe_scores_elementwise_fuse and current_platform.is_cuda()
)
score, topk_weights, topk_idx = get_moe_scores(
gate_out,
layer.n_group,
Expand All @@ -540,6 +544,7 @@ def moe_select(self, layer: nn.Layer, gate_out: paddle.Tensor):
layer.gate_correction_bias,
getattr(layer, "renormalize", True),
topk_reduce_func=getattr(layer, "topk_reduce_func", None),
use_fused_cast=use_fused,
)
else:
topk_idx, topk_weights = fastdeploy.model_executor.ops.gpu.moe_topk_select(
Expand Down
1 change: 1 addition & 0 deletions tests/model_executor/test_ep.py
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Expand Up @@ -419,6 +419,7 @@ def fake_get_moe_scores(*_args, **_kwargs):
routed_scaling_factor=1.0,
gate_correction_bias=None,
renormalize=False,
fd_config=SimpleNamespace(scheduler_config=SimpleNamespace(enable_moe_scores_elementwise_fuse=False)),

@PaddlePaddle-bot PaddlePaddle-bot May 26, 2026

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🟡 建议 测试仅覆盖 enable_moe_scores_elementwise_fuse=False 的路径，use_fused=True 走 grouped_topk 的 fused kernel 路径无测试覆盖。

建议增加一个 enable_moe_scores_elementwise_fuse=True 的测试用例，验证 fused 路径与原始路径的路由结果（topk_idx、topk_weights）在数值上保持一致，以防回归。

)
gate_out = paddle.randn([1, 4], dtype="float32")

Expand Down
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