[BugFix][main] Adapted Qwen3-Next-MTP to chunked prefill (#4770)

### What this PR does / why we need it?
The pad `-1` modification is from
https://github.com/vllm-project/vllm/pull/25743.

It still has bugs for batched chunked prefill.

- vLLM version: v0.12.0
- vLLM main:
ad32e3e19c

Signed-off-by: drslark <slarksblood@qq.com>
Co-authored-by: Mengqing Cao <cmq0113@163.com>

vllm_ascend/patch/worker/patch_module.py

@@ -0,0 +1,34 @@
+import torch
+
+
+# torch_npu.argsort does not sipport bool now, it will support it in the future.
+# TODO When the operator of argsort is ready, this patch must be removed.
+def _argsort(tensor, *args, **kwargs):
+    if tensor.dtype == torch.bool:
+        return torch.argsort(tensor.to(torch.int32), *args, **kwargs)
+    else:
+        return torch.argsort(tensor, *args, **kwargs)
+
+
+class _TorchWrapper:
+
+    def __init__(self):
+        self._raw_torch = torch
+
+    def __getattr__(self, name):
+        if name == "argsort":
+            return _argsort
+        else:
+            return getattr(self._raw_torch, name)
+
+
+_is_patched = False
+
+
+# patch argsort only for torch in gdn_attn
+def patch_torch_npu_argsort():
+    global _is_patched
+    if not _is_patched:
+        import vllm.v1.attention.backends.gdn_attn as gdn_attn
+        gdn_attn.torch = _TorchWrapper()
+        _is_patched = True