ff76c6780e
### What this PR does / why we need it? This PR renames the environment variable VLLM_NIXL_ABORT_REQUEST_TIMEOUT to VLLM_MOONCAKE_ABORT_REQUEST_TIMEOUT to align with the Mooncake connector naming convention. It also updates the documentation and test configurations to reflect this change and adjusts the suggested timeout value in the documentation to 480 seconds for consistency. ### Does this PR introduce _any_ user-facing change? Yes. The environment variable for configuring the abort request timeout has been renamed. Users should update their environment settings from VLLM_NIXL_ABORT_REQUEST_TIMEOUT to VLLM_MOONCAKE_ABORT_REQUEST_TIMEOUT. ### How was this patch tested? The changes were verified by updating the corresponding test configuration files and ensuring consistency across the documentation. --------- Signed-off-by: herizhen <1270637059@qq.com> Signed-off-by: herizhen <59841270+herizhen@users.noreply.github.com>
220 lines
7.2 KiB
YAML
220 lines
7.2 KiB
YAML
test_name: "test DeepSeek-V3.2-W8A8-EP disaggregated_prefill"
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model: "vllm-ascend/DeepSeek-V3.2-W8A8"
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num_nodes: 4
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npu_per_node: 16
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env_common:
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HCCL_OP_EXPANSION_MODE: "AIV"
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VLLM_USE_MODELSCOPE: true
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SERVER_PORT: 8080
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OMP_PROC_BIND: false
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OMP_NUM_THREADS: 10
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PYTORCH_NPU_ALLOC_CONF: "expandable_segments:True"
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HCCL_BUFFSIZE: 1024
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VLLM_TORCH_PROFILER_WITH_STACK: 0
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ASCEND_AGGREGATE_ENABLE: 1
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ASCEND_TRANSPORT_PRINT: 1
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ACL_OP_INIT_MODE: 1
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ASCEND_A3_ENABLE: 1
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VLLM_MOONCAKE_ABORT_REQUEST_TIMEOUT: 480
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VLLM_ENGINE_READY_TIMEOUT_S: 1800
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HCCL_CONNECT_TIMEOUT: 1200
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HCCL_INTRA_PCIE_ENABLE: 1
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HCCL_INTRA_ROCE_ENABLE: 0
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disaggregated_prefill:
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enabled: true
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prefiller_host_index: [0, 1]
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decoder_host_index: [2, 3]
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deployment:
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-
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envs:
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VLLM_ASCEND_ENABLE_FLASHCOMM1: 1
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server_cmd: >
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vllm serve vllm-ascend/DeepSeek-V3.2-W8A8
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--host 0.0.0.0
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--port $SERVER_PORT
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--data-parallel-size 2
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--data-parallel-start-rank 0
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--data-parallel-size-local 1
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--data-parallel-address $LOCAL_IP
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--tensor-parallel-size 16
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--enable-expert-parallel
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--speculative-config '{"num_speculative_tokens": 2, "method":"deepseek_mtp"}'
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--seed 1024
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--quantization ascend
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--max-num-seqs 64
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--max-model-len 85000
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--max-num-batched-tokens 16384
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--trust-remote-code
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--gpu-memory-utilization 0.82
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--enforce-eager
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--no-enable-prefix-caching
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--additional-config '{"enable_cpu_binding" : false, "enable_sfa_cp":false,"layer_sharding": ["q_b_proj", "o_proj"]}'
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--tokenizer-mode deepseek_v32
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--reasoning-parser deepseek_v3
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--kv-transfer-config
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'{"kv_connector": "MooncakeConnectorV1",
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"kv_role": "kv_producer",
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"kv_port": "30000",
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"engine_id": "0",
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"kv_connector_extra_config": {
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"prefill": {
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"dp_size": 2,
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"tp_size": 16
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},
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"decode": {
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"dp_size": 8,
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"tp_size": 4
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}
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}
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}'
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-
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envs:
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VLLM_ASCEND_ENABLE_FLASHCOMM1: 1
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server_cmd: >
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vllm serve vllm-ascend/DeepSeek-V3.2-W8A8
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--host 0.0.0.0
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--headless
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--port $SERVER_PORT
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--data-parallel-size 2
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--data-parallel-start-rank 1
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--data-parallel-size-local 1
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--data-parallel-address $MASTER_IP
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--tensor-parallel-size 16
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--enable-expert-parallel
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--speculative-config '{"num_speculative_tokens": 2, "method":"deepseek_mtp"}'
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--seed 1024
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--quantization ascend
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--max-num-seqs 64
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--max-model-len 85000
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--max-num-batched-tokens 16384
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--trust-remote-code
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--gpu-memory-utilization 0.82
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--enforce-eager
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--no-enable-prefix-caching
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--additional-config '{"enable_cpu_binding" : false, "enable_sfa_cp":false,"layer_sharding": ["q_b_proj", "o_proj"]}'
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--tokenizer-mode deepseek_v32
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--reasoning-parser deepseek_v3
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--kv-transfer-config
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'{"kv_connector": "MooncakeConnectorV1",
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"kv_role": "kv_producer",
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"kv_port": "30000",
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"engine_id": "0",
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"kv_connector_extra_config": {
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"prefill": {
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"dp_size": 2,
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"tp_size": 16
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},
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"decode": {
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"dp_size": 8,
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"tp_size": 4
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}
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}
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}'
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-
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envs:
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VLLM_ASCEND_ENABLE_MLAPO: 1
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TASK_QUEUE_ENABLE: 1
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server_cmd: >
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vllm serve vllm-ascend/DeepSeek-V3.2-W8A8
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--host 0.0.0.0
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--port $SERVER_PORT
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--data-parallel-size 8
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--data-parallel-size-local 4
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--data-parallel-start-rank 0
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--data-parallel-address $LOCAL_IP
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--data-parallel-rpc-port 13389
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--tensor-parallel-size 4
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--enable-expert-parallel
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--speculative-config '{"num_speculative_tokens": 2, "method":"deepseek_mtp"}'
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--seed 1024
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--quantization ascend
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--max-model-len 85000
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--max-num-batched-tokens 12
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--compilation-config '{"cudagraph_mode":"FULL_DECODE_ONLY", "cudagraph_capture_sizes":[3, 6, 9, 12]}'
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--trust-remote-code
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--max-num-seqs 4
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--gpu-memory-utilization 0.95
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--no-enable-prefix-caching
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--async-scheduling
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--additional-config '{"enable_cpu_binding" : false,"recompute_scheduler_enable" : true}'
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--tokenizer-mode deepseek_v32
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--reasoning-parser deepseek_v3
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--kv-transfer-config
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'{"kv_connector": "MooncakeConnectorV1",
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"kv_role": "kv_consumer",
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"kv_port": "30200",
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"engine_id": "1",
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"kv_connector_extra_config": {
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"prefill": {
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"dp_size": 2,
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"tp_size": 16
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},
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"decode": {
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"dp_size": 8,
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"tp_size": 4
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}
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}
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}'
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-
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envs:
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VLLM_ASCEND_ENABLE_MLAPO: 1
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TASK_QUEUE_ENABLE: 1
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server_cmd: >
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vllm serve vllm-ascend/DeepSeek-V3.2-W8A8
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--host 0.0.0.0
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--headless
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--port $SERVER_PORT
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--data-parallel-size 8
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--data-parallel-size-local 4
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--data-parallel-start-rank 4
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--data-parallel-address $MASTER_IP
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--data-parallel-rpc-port 13389
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--tensor-parallel-size 4
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--enable-expert-parallel
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--speculative-config '{"num_speculative_tokens": 2, "method":"deepseek_mtp"}'
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--seed 1024
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--quantization ascend
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--max-model-len 85000
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--max-num-batched-tokens 12
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--compilation-config '{"cudagraph_mode":"FULL_DECODE_ONLY", "cudagraph_capture_sizes":[3, 6, 9, 12]}'
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--trust-remote-code
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--max-num-seqs 4
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--gpu-memory-utilization 0.95
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--no-enable-prefix-caching
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--async-scheduling
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--additional-config '{"enable_cpu_binding" : false,"recompute_scheduler_enable" : true}'
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--tokenizer-mode deepseek_v32
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--reasoning-parser deepseek_v3
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--kv-transfer-config
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'{"kv_connector": "MooncakeConnectorV1",
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"kv_role": "kv_consumer",
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"kv_port": "30200",
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"engine_id": "1",
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"kv_connector_extra_config": {
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"prefill": {
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"dp_size": 2,
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"tp_size": 16
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},
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"decode": {
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"dp_size": 8,
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"tp_size": 4
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}
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}
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}'
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benchmarks:
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acc:
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case_type: accuracy
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dataset_path: vllm-ascend/aime2025
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request_conf: vllm_api_general_chat
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dataset_conf: aime2025/aime2025_gen_0_shot_chat_prompt
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max_out_len: 72348
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batch_size: 32
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baseline: 66.67
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threshold: 7
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