Fix some ci issue and refactor modelrunner (#2445)

### What this PR does / why we need it?
Fix some ci issue and refactor modelrunner

### Does this PR introduce _any_ user-facing change?
N/A

### How was this patch tested?
CI passed with existing test.

- vLLM version: v0.10.0
- vLLM main:
4d9c61993a

---------

Signed-off-by: wangli <wangli858794774@gmail.com>
Signed-off-by: MengqingCao <cmq0113@163.com>
Signed-off-by: weiguihua2 <weiguihua2@huawei.com>
Co-authored-by: wangli <wangli858794774@gmail.com>
Co-authored-by: weiguihua2 <weiguihua2@huawei.com>

tests/ut/ops/test_fused_ops.py

@@ -184,6 +184,11 @@ class MockQuantMethod(nn.Module):
 
 
 class MockFusedMoEMethod(FusedMoEMethodBase):
+    # TODO(bnell): also pass quant_config?
+    moe = MagicMock()
+
+    def __init__(self):
+        super().__init__(self.moe)
 
     def create_weights(self, layer: torch.nn.Module, num_experts: int,
                        hidden_size: int, intermediate_size_per_partition: int,