[2/N][Refactor][Qwen3-Next] remove redundant methods and patch methods in Qwen3NextGatedDeltaNet (#3082)

### What this PR does / why we need it?
remove redundant methods and patch methods in Qwen3NextGatedDeltaNet
involved causal_conv1d_fn, causal_conv1d_update_npu, fused_gdn_gating,
fused_reccrrent_gated_delta_rule, torch_chunk_gated_delta_rule,
RMSNormGated

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

### How was this patch tested?
```
def main():
    prompts = [
        "The future of AI is",
    ]

    # Create a sampling params object.
    sampling_params = SamplingParams(max_tokens=100, temperature=0.6, top_k=40, top_p=0.95)
    # Create an LLM.
    llm = LLM(
        model="Qwen/Qwen3-Next-80B-A3B-Instruct",
              tensor_parallel_size=4,
              enforce_eager=True,
              trust_remote_code=True,
              max_model_len=256,
              gpu_memory_utilization=0.7,
              block_size=64,
              )
    # Generate texts from the prompts.
    outputs = llm.generate(prompts, sampling_params)
    for output in outputs:
        prompt = output.prompt
        generated_text = output.outputs[0].text
        print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}")
```

CI passed with new added/existing test.


- vLLM version: v0.10.2
- vLLM main:
5aeb925452

---------

Signed-off-by: Icey <1790571317@qq.com>

vllm_ascend/patch/worker/patch_common/__init__.py

@@ -15,6 +15,11 @@
 # limitations under the License.
 #
 
+from vllm.triton_utils import HAS_TRITON
+
+if HAS_TRITON:
+    import vllm_ascend.patch.worker.patch_common.patch_triton
+
 import vllm_ascend.patch.worker.patch_common.patch_distributed  # noqa
 import vllm_ascend.patch.worker.patch_common.patch_logits  # noqa
 

vllm_ascend/patch/worker/patch_common/patch_triton.py

@@ -0,0 +1,16 @@
+import vllm.model_executor.layers.fla.ops.chunk
+import vllm.model_executor.layers.fla.ops.fused_recurrent
+import vllm.model_executor.layers.fla.ops.layernorm_guard
+import vllm.model_executor.layers.mamba.ops.causal_conv1d
+
+from vllm_ascend.ops.casual_conv1d import (causal_conv1d_fn,
+                                           causal_conv1d_update_npu)
+from vllm_ascend.ops.fla import LayerNormFn, torch_chunk_gated_delta_rule
+from vllm_ascend.ops.sigmoid_gating import \
+    fused_recurrent_gated_delta_rule_fwd_kernel
+
+vllm.model_executor.layers.mamba.ops.causal_conv1d.causal_conv1d_update = causal_conv1d_update_npu
+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 = torch_chunk_gated_delta_rule