diff --git a/tests/ut/ops/test_fused_ops.py b/tests/ut/ops/test_fused_ops.py
index a5bdfe225d..ad95403d42 100644
--- a/tests/ut/ops/test_fused_ops.py
+++ b/tests/ut/ops/test_fused_ops.py
@@ -258,7 +258,9 @@ def get_fused_moe_quant_config(self, layer: torch.nn.Module):
 
 class TestAscendFusedMoe:
 
-    def test_init_no_quant(self, mock_dist_env, default_moe_config):
+    @patch('torch.npu.is_available')
+    @patch("torch.npu.current_device", return_value=MagicMock())
+    def test_init_no_quant(self, mock_dist_env, default_moe_config, mocker):
         layer = AscendFusedMoE(**default_moe_config)
 
         layer.w13_weight = nn.Parameter(
diff --git a/vllm_ascend/ops/common_fused_moe.py b/vllm_ascend/ops/common_fused_moe.py
index ac22b69bcc..f3bdb15bd0 100644
--- a/vllm_ascend/ops/common_fused_moe.py
+++ b/vllm_ascend/ops/common_fused_moe.py
@@ -173,7 +173,7 @@ def __init__(self, *args, **kwargs):
                     self.global_redundant_expert_num)
                 self.log2phy = determine_default_log2phy_map(
                     self.global_num_experts, self.ep_size, self.ep_rank,
-                    self.global_redundant_expert_num)
+                    self.global_redundant_expert_num).npu()
         local_num_experts = (torch.sum(
             self.expert_map != -1) if self.expert_map is not None else
                              self.global_num_experts)
diff --git a/vllm_ascend/ops/fused_moe.py b/vllm_ascend/ops/fused_moe.py
index 97489f9ac3..3d87c5eb8b 100644
--- a/vllm_ascend/ops/fused_moe.py
+++ b/vllm_ascend/ops/fused_moe.py
@@ -264,7 +264,7 @@ def __init__(
                     self.global_redundant_expert_num)
                 self.log2phy = determine_default_log2phy_map(
                     self.global_num_experts, self.ep_size, self.ep_rank,
-                    self.global_redundant_expert_num)
+                    self.global_redundant_expert_num).npu()
         local_num_experts = (torch.sum(self.expert_map != -1)
                              if self.expert_map is not None else num_experts)
         if self.dynamic_eplb:
diff --git a/vllm_ascend/torchair/ops/torchair_fused_moe.py b/vllm_ascend/torchair/ops/torchair_fused_moe.py
index bd25a79562..1b0d939f7a 100644
--- a/vllm_ascend/torchair/ops/torchair_fused_moe.py
+++ b/vllm_ascend/torchair/ops/torchair_fused_moe.py
@@ -1046,7 +1046,7 @@ def __init__(
                     self.global_redundant_expert_num)
                 self.log2phy = determine_default_log2phy_map(
                     self.global_num_experts, self.ep_size, self.ep_rank,
-                    self.global_redundant_expert_num)
+                    self.global_redundant_expert_num).npu()
         local_num_experts = (torch.sum(self.expert_map != -1)
                              if self.expert_map is not None else num_experts)
         if self.dynamic_eplb: