47 lines
1.2 KiB
YAML
47 lines
1.2 KiB
YAML
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# ==========================================
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# ACTUAL TEST CASES
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# ==========================================
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test_cases:
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- name: "Qwen3-30B-A3B-W8A8-TP1"
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model: "vllm-ascend/Qwen3-30B-A3B-W8A8"
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envs:
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OMP_PROC_BIND: "false"
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OMP_NUM_THREADS: "10"
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HCCL_BUFFSIZE: "1024"
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HCCL_OP_EXPANSION_MODE: "AIV"
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PYTORCH_NPU_ALLOC_CONF: "expandable_segments:True"
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SERVER_PORT: "DEFAULT_PORT"
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server_cmd:
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- "--quantization"
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- "ascend"
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- "--async-scheduling"
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- "--no-enable-prefix-caching"
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- "--tensor-parallel-size"
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- "1"
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- "--port"
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- "$SERVER_PORT"
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- "--max-model-len"
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- "5600"
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- "--max-num-batched-tokens"
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- "16384"
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- "--max-num-seqs"
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- "100"
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- "--trust-remote-code"
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- "--gpu-memory-utilization"
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- "0.9"
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- "--compilation-config"
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- '{"cudagraph_mode": "FULL_DECODE_ONLY"}'
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benchmarks:
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perf:
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case_type: performance
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dataset_path: vllm-ascend/GSM8K-in3500-bs400
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request_conf: vllm_api_stream_chat
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dataset_conf: gsm8k/gsm8k_gen_0_shot_cot_str_perf
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num_prompts: 180
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max_out_len: 1500
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batch_size: 45
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request_rate: 0
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baseline: 1
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threshold: 0.97
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