[Kernel] add custom op GmmSwigluQuantWeightNzTensorList (#3804)

### What this PR does / why we need it?

This PR introduces support for adding custom CANN `aclnn` ops to
`vllm-ascend`, allowing users to define and use their own custom
operators.

Key changes include:
- Building and installing custom ops into the `vllm-ascend`-specified
directory
- Binding the `aclnn` op interface to the `torch.ops._C_ascend` module
- Enabling invocation of these ops within `vllm-ascend`

This PR includes a sample custom op:
`aclnnGroupedMatmulSwigluQuantWeightNzTensorList`, which is adapted from
the CANN operator
[`aclnnGroupedMatmulSwigluQuantWeightNZ`](https://www.hiascend.com/document/detail/zh/canncommercial/83RC1/API/aolapi/context/aclnnGroupedMatmulSwigluQuantWeightNZ.md).
Its input parameters `weight` and `weight_scale` now accept
`list[torch.Tensor]` (i.e., `at::TensorList`).

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

No.


- vLLM version: v0.11.2

---------

Signed-off-by: QianChenxi <chenxi.qian.cq@outlook.com>

pyproject.toml

@@ -1,9 +1,11 @@
 [build-system]
 # Should be mirrored in requirements.txt
 requires = [
+    "attrs",
     "cmake>=3.26",
     "decorator",
     "einops",
+    "googleapis-common-protos",
     "numpy<2.0.0",
     "packaging",
     "pip",
@@ -12,6 +14,7 @@ requires = [
     "scipy",
     "pandas",
     "pandas-stubs",
+    "psutil",
     "setuptools>=64",
     "setuptools-scm>=8",
     "transformers<=4.57.1",