[Triton][Config] Add muls_add triton kernel and refactor AscendCompilationConfig (#5518)

### What this PR does / why we need it?
Add muls_add triton kernel with related fusion pass. What's more, this
PR refactors `AscendCompilationConfig` and delete `NpugraphExConfig`.

### Does this PR introduce _any_ user-facing change?
None

### How was this patch tested?
CI passed with new added test.


- vLLM version: v0.13.0
- vLLM main:
45c1ca1ca1

---------

Signed-off-by: whx-sjtu <2952154980@qq.com>

tests/e2e/nightly/single_node/ops/singlecard_ops/triton/test_muls_add.py

@@ -0,0 +1,34 @@
+import pytest
+import torch
+
+from vllm_ascend.ops.triton.muls_add import muls_add_triton
+from vllm_ascend.ops.triton.triton_utils import init_device_properties_triton
+
+
+@pytest.mark.parametrize(
+    ("shape", "dtype", "scale"),
+    [
+        ((1, 2048), torch.float16, 1.25),
+        ((4000, 2048), torch.float16, 0.75),
+        ((4, 2048), torch.bfloat16, 1.0),
+    ],
+)
+@torch.inference_mode()
+def test_muls_add_triton_correctness(shape, dtype, scale):
+    """compare the correctness of muls_add_triton with the PyTorch baseline implementation."""
+    init_device_properties_triton()
+    device = "npu"
+
+    torch.manual_seed(0)
+    x = torch.randn(*shape, dtype=dtype, device=device)
+    y = torch.randn(*shape, dtype=dtype, device=device)
+
+    out_triton = muls_add_triton(x, y, scale)
+    out_ref = x * scale + y
+
+    rtol, atol = 1e-3, 1e-3
+
+    assert out_triton.shape == out_ref.shape
+    assert out_triton.dtype == out_ref.dtype
+    assert torch.allclose(out_triton, out_ref, rtol=rtol, atol=atol)
+