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/e2e/singlecard/sample/test_rejection_sampler.py

@@ -4,7 +4,7 @@ from typing import Any, Optional
 import pytest
 import torch
 import torch.nn.functional as F
-from vllm.v1.sample.logits_processor import LogitsProcessorManager
+from vllm.v1.sample.logits_processor import LogitsProcessors
 from vllm.v1.sample.metadata import SamplingMetadata
 from vllm.v1.spec_decode.metadata import SpecDecodeMetadata
 
@@ -66,7 +66,7 @@ def create_sampling_metadata(
                             output_token_ids=[],
                             allowed_token_ids_mask=None,
                             bad_words_token_ids={},
-                            logitsprocs=LogitsProcessorManager())
+                            logitsprocs=LogitsProcessors())
 
 
 ########################### Tests for Greedy Sampling ###################