85 lines
2.1 KiB
YAML
85 lines
2.1 KiB
YAML
# ==========================================
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# Shared Configurations
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# ==========================================
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_envs: &envs
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OMP_NUM_THREADS: "10"
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OMP_PROC_BIND: "false"
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HCCL_BUFFSIZE: "1024"
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PYTORCH_NPU_ALLOC_CONF: "expandable_segments:True"
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VLLM_ASCEND_ENABLE_FLASHCOMM1: "1"
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SERVER_PORT: "DEFAULT_PORT"
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_server_cmd: &server_cmd
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- "--quantization"
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- "ascend"
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- "--data-parallel-size"
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- "4"
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- "--tensor-parallel-size"
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- "4"
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- "--enable-expert-parallel"
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- "--port"
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- "$SERVER_PORT"
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- "--max-model-len"
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- "40960"
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- "--max-num-batched-tokens"
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- "8192"
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- "--max-num-seqs"
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- "12"
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- "--trust-remote-code"
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- "--gpu-memory-utilization"
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- "0.9"
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_benchmarks: &benchmarks
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acc:
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case_type: accuracy
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dataset_path: vllm-ascend/gsm8k-lite
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request_conf: vllm_api_general_chat
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dataset_conf: gsm8k/gsm8k_gen_0_shot_cot_chat_prompt
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max_out_len: 32768
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batch_size: 32
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top_k: 20
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baseline: 95
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threshold: 10
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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: "Qwen3-235B-A22B-W8A8-full_graph"
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model: "vllm-ascend/Qwen3-235B-A22B-W8A8"
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envs:
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<<: *envs
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server_cmd: *server_cmd
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server_cmd_extra:
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- "--compilation-config"
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- '{"cudagraph_mode": "FULL_DECODE_ONLY"}'
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benchmarks:
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<<: *benchmarks
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- name: "Qwen3-235B-A22B-W8A8-piecewise"
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model: "vllm-ascend/Qwen3-235B-A22B-W8A8"
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envs:
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<<: *envs
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server_cmd: *server_cmd
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server_cmd_extra:
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- "--compilation-config"
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- '{"cudagraph_mode": "PIECEWISE"}'
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benchmarks:
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<<: *benchmarks
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- name: "Qwen3-235B-A22B-W8A8-EPLB"
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model: "vllm-ascend/Qwen3-235B-A22B-W8A8"
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envs:
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<<: *envs
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DYNAMIC_EPLB: "true"
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server_cmd: *server_cmd
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server_cmd_extra:
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- "--additional-config"
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- '{"eplb_config": {"dynamic_eplb": "true", "expert_heat_collection_interval": 600, "algorithm_execution_interval": 50, "num_redundant_experts": 16, "eplb_policy_type": 2}}'
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- "--compilation-config"
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- '{"cudagraph_mode": "FULL_DECODE_ONLY"}'
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benchmarks:
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<<: *benchmarks
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