# ==========================================
# Shared Configurations
# ==========================================

_envs: &envs
  HCCL_BUFFSIZE: "1024"
  SERVER_PORT: "DEFAULT_PORT"
  HCCL_OP_EXPANSION_MODE: "AIV"
  OMP_PROC_BIND: "false"
  OMP_NUM_THREADS: "1"
  PYTORCH_NPU_ALLOC_CONF: "expandable_segments:True"

_server_cmd: &server_cmd
  - "--enable-expert-parallel"
  - "--tensor-parallel-size"
  - "16"
  - "--data-parallel-size"
  - "1"
  - "--port"
  - "$SERVER_PORT"
  - "--max-model-len"
  - "8192"
  - "--max-num-batched-tokens"
  - "4096"
  - "--trust-remote-code"
  - "--gpu-memory-utilization"
  - "0.95"
  - "--max-num-seqs"
  - "8"
  - "--quantization"
  - "ascend"
  - "--async-scheduling"
  - "--additional-config"
  - '{"enable_npugraph_ex": true,"fuse_muls_add":true,"multistream_overlap_shared_expert":true}'
  - "--speculative-config"
  - '{"num_speculative_tokens": 3, "method": "deepseek_mtp"}'

_special_dependencies: &special_dependencies
  transformers: "5.2.0"

_benchmarks: &benchmarks
  acc:
    case_type: accuracy
    dataset_path: vllm-ascend/gsm8k-lite
    request_conf: vllm_api_general_chat
    dataset_conf: gsm8k/gsm8k_gen_0_shot_cot_chat_prompt
    max_out_len: 4096
    batch_size: 8
    baseline: 95
    threshold: 5
  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: 16
    max_out_len: 1500
    batch_size: 8
    request_rate: 0
    baseline: 1
    threshold: 0.97

# ==========================================
# ACTUAL TEST CASES
# ==========================================

test_cases:
  - name: "GLM-5-TP16-DP1-decodegraph"
    model: "Eco-Tech/GLM-5-w4a8"
    special_dependencies: *special_dependencies
    envs:
      <<: *envs
    server_cmd: *server_cmd
    server_cmd_extra:
      - "--compilation-config"
      - '{"cudagraph_capture_sizes": [4,8,16,32,64,128,256,512], "cudagraph_mode": "FULL_DECODE_ONLY"}'
    benchmarks:
      <<: *benchmarks