[Model] Add qwen3Next support in Main (#4596)

### What this PR does / why we need it?
Add Qwen3Next support in main

### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: v0.11.2
- vLLM main: https://github.com/vllm-project/vllm/commit/v0.11.2

---------

Signed-off-by: SunnyLee219 <3294305115@qq.com>

Author: SunnyLee151064

.github/workflows/_e2e_test.yaml

@@ -286,4 +286,4 @@ jobs:
           VLLM_USE_MODELSCOPE: True
         run: |
           . /usr/local/Ascend/ascend-toolkit/8.3.RC2/bisheng_toolkit/set_env.sh
-          #pytest -sv tests/e2e/multicard/test_qwen3_next.py
+          pytest -sv tests/e2e/multicard/test_qwen3_next.py

tests/e2e/multicard/test_qwen3_next.py

@@ -24,6 +24,7 @@
 import os
 from unittest.mock import patch
 
+import pytest
 from modelscope import snapshot_download  # type: ignore
 
 from tests.e2e.conftest import VllmRunner
@@ -63,6 +64,7 @@ def test_models_distributed_Qwen3_NEXT_TP4_FULL_DECODE_ONLY():
         del vllm_model
 
 
+@pytest.mark.skip
 def test_models_distributed_Qwen3_NEXT_MTP_TP4_SIMILARITY():
     example_prompts = [
         "Hello, my name is",
@@ -113,6 +115,7 @@ def test_models_distributed_Qwen3_NEXT_MTP_TP4_SIMILARITY():
 
 
 # TODO: will conduct accuracy verification after the subsequent version becomes stable
+@pytest.mark.skip
 @patch.dict(os.environ, {"HCCL_BUFFSIZE": "1024"})
 def test_models_distributed_Qwen3_NEXT_W8A8DYNAMIC_WITH_EP():
     example_prompts = [

vllm_ascend/ops/triton/mamba/casual_conv1d.py

@@ -7,7 +7,7 @@
 # and https://github.com/vllm-project/vllm/blob/main/vllm/model_executor/layers/mamba/ops/causal_conv1d.py
 # mypy: ignore-errors
 
-from typing import Optional, Union
+from typing import Any, Optional, Union
 
 import torch
 import torch.nn.functional as F
@@ -72,6 +72,7 @@ def causal_conv1d_fn(
     conv_states: Optional[torch.Tensor] = None,
     activation: Optional[str] = "silu",
     pad_slot_id: int = PAD_SLOT_ID,
+    metadata: Optional[Any] = None,
 ):
     """
     x: (batch, dim, seqlen) or (dim,cu_seq_len) for varlen

vllm_ascend/patch/worker/patch_triton.py

@@ -11,4 +11,4 @@
 vllm.model_executor.layers.mamba.ops.causal_conv1d.causal_conv1d_fn = causal_conv1d_fn
 vllm.model_executor.layers.fla.ops.fused_recurrent.fused_recurrent_gated_delta_rule_fwd_kernel = fused_recurrent_gated_delta_rule_fwd_kernel
 vllm.model_executor.layers.fla.ops.layernorm_guard.LayerNormFn = LayerNormFn
-vllm.model_executor.layers.fla.ops.chunk.chunk_gated_delta_rule = chunk_gated_delta_rule
+vllm.model_executor.layers.fla.ops.chunk_gated_delta_rule = chunk_gated_delta_rule