diff --git a/.github/workflows/schedule_nightly_test_a3.yaml b/.github/workflows/schedule_nightly_test_a3.yaml index ddc98729..940f8518 100644 --- a/.github/workflows/schedule_nightly_test_a3.yaml +++ b/.github/workflows/schedule_nightly_test_a3.yaml @@ -71,6 +71,9 @@ jobs: - name: multi-node-dpsk3.2-2node config_file_path: DeepSeek-V3_2-W8A8-A3-dual-nodes.yaml size: 2 + - name: multi-node-qwen3-dp-mooncake-layerwise + config_file_path: Qwen3-235B-A22B-Mooncake-Layerwise.yaml + size: 2 - name: multi-node-deepseek-r1-w8a8-longseq config_file_path: DeepSeek-R1-W8A8-longseq.yaml size: 2 diff --git a/tests/e2e/nightly/multi_node/config/Qwen3-235B-A22B-Mooncake-Layerwise.yaml b/tests/e2e/nightly/multi_node/config/Qwen3-235B-A22B-Mooncake-Layerwise.yaml new file mode 100644 index 00000000..6ae3995f --- /dev/null +++ b/tests/e2e/nightly/multi_node/config/Qwen3-235B-A22B-Mooncake-Layerwise.yaml @@ -0,0 +1,115 @@ +test_name: "test Qwen3-235B-A22B PD separation with mooncake layerwise connector" +model: "Qwen/Qwen3-235B-A22B" +num_nodes: 2 +npu_per_node: 16 +env_common: + VLLM_USE_MODELSCOPE: true + OMP_PROC_BIND: false + OMP_NUM_THREADS: 100 + HCCL_BUFFSIZE: 1024 + SERVER_PORT: 8080 + NUMEXPR_MAX_THREADS: 128 + MC_LOG_LEVEL: "ERROR" + DISAGGREGATED_PREFILL_PROXY_SCRIPT: "examples/disaggregated_prefill_v1/load_balance_proxy_layerwise_server_example.py" + +disaggregated_prefill: + enabled: true + prefiller_host_index: [0] + decoder_host_index: [1] + +deployment: + - + server_cmd: > + vllm serve "Qwen/Qwen3-235B-A22B" + --host 0.0.0.0 + --port $SERVER_PORT + --data-parallel-size 2 + --data-parallel-size-local 2 + --data-parallel-address $LOCAL_IP + --data-parallel-rpc-port 13389 + --tensor-parallel-size 8 + --seed 1024 + --enforce-eager + --enable-expert-parallel + --max-num-seqs 32 + --max-model-len 8192 + --max-num-batched-tokens 8192 + --trust-remote-code + --no-enable-prefix-caching + --gpu-memory-utilization 0.9 + --additional-config '{"recompute_scheduler_enable": true,"enable_shared_expert_dp": true}' + --kv-transfer-config + '{"kv_connector": "MooncakeLayerwiseConnector", + "kv_role": "kv_producer", + "kv_port": "30000", + "engine_id": "0", + "kv_connector_module_path": "vllm_ascend.distributed.mooncake_layerwise_connector", + "kv_connector_extra_config": { + "prefill": { + "dp_size": 2, + "tp_size": 8 + }, + "decode": { + "dp_size": 2, + "tp_size": 8 + } + } + }' + - + server_cmd: > + vllm serve "Qwen/Qwen3-235B-A22B" + --host 0.0.0.0 + --port $SERVER_PORT + --data-parallel-size 2 + --data-parallel-size-local 2 + --data-parallel-address $MASTER_IP + --data-parallel-rpc-port 13389 + --tensor-parallel-size 8 + --seed 1024 + --max-num-seqs 16 + --max-model-len 8192 + --max-num-batched-tokens 8192 + --enable-expert-parallel + --trust-remote-code + --no-enable-prefix-caching + --gpu-memory-utilization 0.9 + --additional-config '{"torchair_graph_config":{"enabled":true}}' + --kv-transfer-config + '{"kv_connector": "MooncakeLayerwiseConnector", + "kv_role": "kv_consumer", + "kv_port": "30200", + "engine_id": "1", + "kv_connector_module_path": "vllm_ascend.distributed.mooncake_layerwise_connector", + "kv_connector_extra_config": { + "prefill": { + "dp_size": 2, + "tp_size": 8 + }, + "decode": { + "dp_size": 2, + "tp_size": 8 + } + } + }' + +benchmarks: + perf: + case_type: performance + dataset_path: vllm-ascend/GSM8K-in3500-bs2800 + request_conf: vllm_api_stream_chat + dataset_conf: gsm8k/gsm8k_gen_0_shot_cot_str_perf + num_prompts: 2800 + max_out_len: 1500 + batch_size: 700 + request_rate: 11.2 + baseline: 183 + threshold: 0.97 + 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: 7680 + batch_size: 512 + baseline: 97 + threshold: 3