[RL] support moe-topk use topk_reduce_func (#7218)

* support moe-topk use topk_reduce_func

* fix ep error

* fix ut

* fix ut

tests/layers/test_fused_moe_cutlass_backend.py

@@ -388,7 +388,9 @@ class TestFusedMoeCutlassBackend:
         np.testing.assert_allclose(out.numpy(), np.full((1, 2), 5.0))
 
     def test_apply_tp_with_dispatch_and_reduce(self, monkeypatch):
-        def fake_get_moe_scores(gate_out, n_group, topk_group, top_k, routed_scaling_factor, bias, renormalize):
+        def fake_get_moe_scores(
+            gate_out, n_group, topk_group, top_k, routed_scaling_factor, bias, renormalize, topk_reduce_func=None
+        ):
             return gate_out, paddle.to_tensor([[0.6, 0.4]]), paddle.to_tensor([[0, 1]])
 
         def fake_dispatch(*args, **kwargs):

tests/operators/test_noaux_tc_redundant.py

@@ -1,10 +1,22 @@
+# Copyright (c) 2026 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
 import unittest
+from unittest import mock
 
 import paddle
 
-from fastdeploy.model_executor.layers.moe.fused_moe_deepgemm_backend import (
-    moe_topk_select,
-)
 from fastdeploy.model_executor.layers.moe.moe import get_moe_scores
 
 
@@ -135,15 +147,17 @@ class TestMoeRouting(unittest.TestCase):
                     e_score_correction_bias=e_score_correction_bias,
                 )
 
-                topk_values, topk_idx = moe_topk_select(
-                    gating_output=gating_output,
-                    n_group=n_group,
-                    topk_group=topk_group,
-                    top_k=top_k,
-                    routed_scaling_factor=routed_scaling_factor,
-                    e_score_correction_bias=e_score_correction_bias,
-                    renormalize=renormalize,
-                )
+                with mock.patch.dict("os.environ", {"FD_USE_PHI_MOE_TOPK": "1"}):
+                    new_score, topk_values, topk_idx = get_moe_scores(
+                        gating_output=gating_output,
+                        n_group=n_group,
+                        topk_group=topk_group,
+                        top_k=top_k,
+                        routed_scaling_factor=routed_scaling_factor,
+                        e_score_correction_bias=e_score_correction_bias,
+                        renormalize=renormalize,
+                        topk_reduce_func=lambda x: x.sum(axis=-1, keepdim=True) + 1e-20,
+                    )
 
                 equal_topk_value = paddle.allclose(topk_values, ref_topk_values, atol=1e-03, rtol=1e-03).item()
                 equal_topk_ids = paddle.allclose(