[Nightly][Refactor]Migrate nightly single-node model tests from .py to .yaml (#6503)

### What this PR does / why we need it?
This PR refactors the nightly single-node model test by migrating test
configurations from Python scripts to a more maintainable `YAML-based`
format.

| Original PR | Python (`.py`) | YAML (`.yaml`) |
| :--- | :--- | :--- |
| [#3568](https://github.com/vllm-project/vllm-ascend/pull/3568) |
`test_deepseek_r1_0528_w8a8_eplb.py` | `DeepSeek-R1-0528-W8A8.yaml` |
| [#3631](https://github.com/vllm-project/vllm-ascend/pull/3631) |
`test_deepseek_r1_0528_w8a8.py` | `DeepSeek-R1-0528-W8A8.yaml` |
| [#5874](https://github.com/vllm-project/vllm-ascend/pull/5874) |
`test_deepseek_r1_w8a8_hbm.py` | `DeepSeek-R1-W8A8-HBM.yaml` |
| [#3908](https://github.com/vllm-project/vllm-ascend/pull/3908) |
`test_deepseek_v3_2_w8a8.py` | `DeepSeek-V3.2-W8A8.yaml` |
| [#5682](https://github.com/vllm-project/vllm-ascend/pull/5682) |
`test_kimi_k2_thinking.py` | `Kimi-K2-Thinking.yaml` |
| [#4111](https://github.com/vllm-project/vllm-ascend/pull/4111) |
`test_mtpx_deepseek_r1_0528_w8a8.py` | `MTPX-DeepSeek-R1-0528-W8A8.yaml`
|
| [#3733](https://github.com/vllm-project/vllm-ascend/pull/3733) |
`test_prefix_cache_deepseek_r1_0528_w8a8.py` |
`Prefix-Cache-DeepSeek-R1-0528-W8A8.yaml` |
| [#6543](https://github.com/vllm-project/vllm-ascend/pull/6543) |
`test_qwen3_235b_w8a8.py` | `Qwen3-235B-A22B-W8A8.yaml` |
| [#6543](https://github.com/vllm-project/vllm-ascend/pull/6543) |
`test_qwen3_235b_a22b_w8a8_eplb.py` | `Qwen3-235B-A22B-W8A8.yaml` |
| [#3973](https://github.com/vllm-project/vllm-ascend/pull/3973) |
`test_qwen3_30b_w8a8.py` | `Qwen3-30B-A3B-W8A8.yaml` |
| [#3541](https://github.com/vllm-project/vllm-ascend/pull/3541) |
`test_qwen3_32b_int8.py` | `Qwen3-32B-Int8.yaml` |
| [#3757](https://github.com/vllm-project/vllm-ascend/pull/3757) |
`test_qwq_32b.py` | `QwQ-32B.yaml` |
| [#5616](https://github.com/vllm-project/vllm-ascend/pull/5616) |
`test_qwen3_next_w8a8.py` | `Qwen3-Next-80B-A3B-Instruct-W8A8.yaml` |
| [#3541](https://github.com/vllm-project/vllm-ascend/pull/3541) |
`test_qwen2_5_vl_7b.py` | `Qwen2.5-VL-7B-Instruct.yaml` |
| [#5301](https://github.com/vllm-project/vllm-ascend/pull/5301) |
`test_qwen2_5_vl_7b_epd.py` | `Qwen2.5-VL-7B-Instruct-EPD.yaml` |
| [#3707](https://github.com/vllm-project/vllm-ascend/pull/3707) |
`test_qwen2_5_vl_32b.py` | `Qwen2.5-VL-32B-Instruct.yaml` |
| [#3676](https://github.com/vllm-project/vllm-ascend/pull/3676) |
`test_qwen3_32b_int8_a3_feature_stack3.py` |
`Qwen3-32B-Int8-A3-Feature-Stack3.yaml` |
| [#3709](https://github.com/vllm-project/vllm-ascend/pull/3709) |
`test_prefix_cache_qwen3_32b_int8.py` |
`Prefix-Cache-Qwen3-32B-Int8.yaml` |
| [#5395](https://github.com/vllm-project/vllm-ascend/pull/5395) |
`test_qwen3_next.py` | `Qwen3-Next-80B-A3B-Instruct-A2.yaml` |
| [#3474](https://github.com/vllm-project/vllm-ascend/pull/3474) |
`test_qwen3_32b.py` | `Qwen3-32B.yaml` |
| [#3541](https://github.com/vllm-project/vllm-ascend/pull/3541) |
`test_qwen3_32b_int8.py` | `Qwen3-32B-Int8-A2.yaml` |
### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: v0.15.0
- vLLM main: https://github.com/vllm-project/vllm/commit/v0.15.0

---------

Signed-off-by: MrZ20 <2609716663@qq.com>

tests/e2e/nightly/single_node/models/configs/Qwen3-32B-Int8.yaml

@@ -0,0 +1,78 @@
+# ==========================================
+# Shared Configurations
+# ==========================================
+
+_envs: &envs
+  TASK_QUEUE_ENABLE: "1"
+  HCCL_OP_EXPANSION_MODE: "AIV"
+  VLLM_ASCEND_ENABLE_FLASHCOMM: "1"
+  SERVER_PORT: "DEFAULT_PORT"
+
+_server_cmd: &server_cmd
+  - "--quantization"
+  - "ascend"
+  - "--no-enable-prefix-caching"
+  - "--tensor-parallel-size"
+  - "4"
+  - "--port"
+  - "$SERVER_PORT"
+  - "--max-model-len"
+  - "40960"
+  - "--max-num-batched-tokens"
+  - "40960"
+  - "--block-size"
+  - "128"
+  - "--trust-remote-code"
+  - "--reasoning-parser"
+  - "qwen3"
+  - "--gpu-memory-utilization"
+  - "0.9"
+  - "--async-scheduling"
+  - "--additional-config"
+  - '{"weight_prefetch_config":{"enabled":true}}'
+
+_benchmarks: &benchmarks
+  acc:
+    case_type: accuracy
+    dataset_path: vllm-ascend/aime2024
+    request_conf: vllm_api_general_chat
+    dataset_conf: aime2024/aime2024_gen_0_shot_chat_prompt
+    max_out_len: 32768
+    batch_size: 32
+    baseline: 83.33
+    threshold: 7
+  perf:
+        case_type: performance
+        dataset_path: vllm-ascend/GSM8K-in3500-bs400
+        request_conf: vllm_api_stream_chat
+        dataset_conf: gsm8k/gsm8k_gen_0_shot_cot_str_perf
+        num_prompts: 304
+        max_out_len: 1500
+        batch_size: 76
+        baseline: 1
+        threshold: 0.97
+
+# ==========================================
+# ACTUAL TEST CASES
+# ==========================================
+
+test_cases:
+  - name: "Qwen3-32B-W8A8-aclgraph-a3"
+    model: "vllm-ascend/Qwen3-32B-W8A8"
+    envs:
+      <<: *envs
+    server_cmd: *server_cmd
+    server_cmd_extra:
+      - "--compilation-config"
+      - '{"cudagraph_mode":"FULL_DECODE_ONLY","cudagraph_capture_sizes":[1,12,16,20,24,32,48,60,64,68,72,76,80]}'
+    benchmarks:
+      <<: *benchmarks
+
+  - name: "Qwen3-32B-W8A8-single-a3"
+    model: "vllm-ascend/Qwen3-32B-W8A8"
+    envs:
+      <<: *envs
+    server_cmd: *server_cmd
+    server_cmd_extra:
+      - "--enforce-eager"
+    benchmarks: