95 lines
2.3 KiB
YAML
95 lines
2.3 KiB
YAML
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# ==========================================
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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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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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- "2"
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- "--tensor-parallel-size"
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- "8"
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- "--enable-expert-parallel"
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- "--port"
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- "$SERVER_PORT"
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- "--seed"
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- "1024"
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- "--max-model-len"
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- "36864"
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- "--max-num-batched-tokens"
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- "4096"
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- "--max-num-seqs"
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- "16"
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- "--trust-remote-code"
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- "--gpu-memory-utilization"
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- "0.9"
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- "--speculative-config"
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- '{"num_speculative_tokens": 1, "method": "mtp"}'
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- "--additional-config"
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- '{"enable_weight_nz_layout": true}'
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_benchmarks_acc: &benchmarks_acc
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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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baseline: 95
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threshold: 5
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_benchmarks_perf: &benchmarks_perf
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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: 400
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max_out_len: 1500
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batch_size: 1000
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baseline: 1
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threshold: 0.97
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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: "DeepSeek-R1-0528-W8A8-single"
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model: "vllm-ascend/DeepSeek-R1-0528-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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- "--enforce-eager"
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benchmarks:
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- name: "DeepSeek-R1-0528-W8A8-aclgraph"
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model: "vllm-ascend/DeepSeek-R1-0528-W8A8"
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envs:
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<<: *envs
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server_cmd: *server_cmd
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benchmarks:
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<<: *benchmarks_acc
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<<: *benchmarks_perf
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- name: "DeepSeek-R1-0528-W8A8-EPLB"
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model: "vllm-ascend/DeepSeek-R1-0528-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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- '{"enable_weight_nz_layout": true, "eplb_config": {"dynamic_eplb": "true", "expert_heat_collection_interval": 1000, "algorithm_execution_interval": 50, "eplb_policy_type": 3}}'
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benchmarks:
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<<: *benchmarks_acc
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