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[main] [refactor] refactor common_fused_moe.py #2706

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Merged
merged 1 commit into from
Sep 8, 2025
Merged

[main] [refactor] refactor common_fused_moe.py #2706

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7 changes: 3 additions & 4 deletions tests/e2e/singlecard/ops/test_fused_moe.py
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Original file line number Diff line number Diff line change
Expand Up @@ -28,9 +28,8 @@
import torch_npu
from vllm.model_executor.layers.activation import SiluAndMul

from vllm_ascend.ops.layers.experts_selector import select_experts
from vllm_ascend.ops.moe_dispatcher.token_dispatcher import \
TokenDispatcherWithAllGather
from vllm_ascend.ops.moe.experts_selector import select_experts
from vllm_ascend.ops.moe.token_dispatcher import TokenDispatcherWithAllGather

NUM_EXPERTS = [8, 64]
EP_SIZE = [1]
Expand Down Expand Up @@ -209,7 +208,7 @@ def test_select_experts(
dtype=torch.int32)
custom_routing_function.return_value = (mock_weights, mock_ids)

with patch("vllm_ascend.ops.layers.experts_selector._native_grouped_topk"
with patch("vllm_ascend.ops.moe.experts_selector._native_grouped_topk"
) as mock_native_grouped_topk:
mock_native_grouped_topk.side_effect = lambda x, num_groups, k: torch.randn_like(
x)
Expand Down
175 changes: 0 additions & 175 deletions tests/e2e/singlecard/ops/test_moe_comm.py
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