[main2main] upgrade vllm main 0202 (#6560)

### What this PR does / why we need it?
1. Fix `TypeError: FusedMoEParallelConfig.__init__() missing 1 required
positional argument: 'is_sequence_parallel'` due to
https://github.com/vllm-project/vllm/pull/32567
2. Fix ` TypeError: '>' not supported between instances of 'MagicMock'
and 'int'` due to https://github.com/vllm-project/vllm/pull/33035
3. Fix `TypeError: Can't instantiate abstract class AscendMLAImpl with
abstract methods forward_mha, forward_mqa` and AttributeError: 'bool'
object has no attribute 'process_weights_after_loading' due to
https://github.com/vllm-project/vllm/pull/33284
4. Fix `'AscendSharedFusedMoE' object has no attribute
'_routed_input_transform'`due to
https://github.com/vllm-project/vllm/pull/32790
5. Fix `NPUModelRunner._dummy_run() got an unexpected keyword argument
'num_active_loras'` due to
https://github.com/vllm-project/vllm/pull/32005
6. Fix the problem caused by` 'tuple' object has no attribute 'job_id'`
due to https://github.com/vllm-project/vllm/pull/27492
7. Fix the problem that all_moe_layers is not equal to vllm.moe_forward,
vllm.moe_forward_shared due to
https://github.com/vllm-project/vllm/pull/33184
8. Add patch to fix the problem "got multiple values for keyword
argument 'add_special_tokens'" due to
https://github.com/vllm-project/vllm/pull/32863
### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: v0.15.0
- vLLM main: https://github.com/vllm-project/vllm/commit/v0.15.0

---------

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
Signed-off-by: Meihan-chen <jcccx.cmh@gmail.com>
Signed-off-by: hfadzxy <starmoon_zhang@163.com>
Co-authored-by: wangxiyuan <wangxiyuan1007@gmail.com>
Co-authored-by: hfadzxy <starmoon_zhang@163.com>

vllm_ascend/patch/worker/__init__.py

@@ -33,3 +33,4 @@ import vllm_ascend.patch.worker.patch_qwen3_next_mtp  # noqa
 import vllm_ascend.patch.worker.patch_rejection_sampler  # noqa
 import vllm_ascend.patch.worker.patch_qwen3_next  # noqa
 import vllm_ascend.patch.worker.patch_v2_egale  # noqa
+import vllm_ascend.patch.worker.patch_huanyuan_vl  # noqa

vllm_ascend/patch/worker/patch_huanyuan_vl.py

@@ -0,0 +1,27 @@
+#
+# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
+# This file is a part of the vllm-ascend project.
+#
+# 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.
+#from collections.abc import Iterable
+
+from vllm.transformers_utils.processors.hunyuan_vl import HunYuanVLProcessor
+
+_original_call = HunYuanVLProcessor.__call__
+
+def _patched_call(self, images=None, text=None, videos=None, **kwargs):
+    """Remove add_special_tokens requirement."""
+    kwargs.pop("add_special_tokens", None)
+    return _original_call(self, images=images, text=text, videos=videos, **kwargs)
+
+HunYuanVLProcessor.__call__ = _patched_call

vllm_ascend/patch/worker/patch_qwen3_next_mtp.py

@@ -1,8 +1,12 @@
 import torch
 import vllm.v1.worker.utils as utils
-from vllm.attention.layer import Attention
 from vllm.v1.worker.utils import defaultdict, extract_layer_index
+from vllm_ascend.utils import vllm_version_is
 
+if vllm_version_is("v0.15.0"):
+    from vllm.attention.layer import Attention # type: ignore
+else:
+    from vllm.model_executor.layers.attention import Attention
 
 # Without this patch, it will raise an exception when initialize kv_cache.
 # TODO To remove the patch, we need check why the original bind_kv_cache raises an NotImplementedError.