073a3a6e6c
### What this PR does / why we need it?
vLLM community has integrated their MooncakeConnector. The original
scripts will now find this MooncakeConnector instead of the one from
vLLM-Ascend. All scripts that involve using the MooncakeConnector need
to be modified to another name.
### Does this PR introduce _any_ user-facing change?
Yes, users need to use a new name to load vLLM-Ascend MooncakeConnector.
### How was this patch tested?
By CI.
- vLLM version: v0.12.0
- vLLM main:
ad32e3e19c
---------
Signed-off-by: nwpu-zxr <zhouxuerong2@huawei.com>
196 lines
6.5 KiB
YAML
196 lines
6.5 KiB
YAML
test_name: "test DeepSeek-R1-W8A8 disaggregated_prefill"
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model: "vllm-ascend/DeepSeek-R1-0528-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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VLLM_USE_MODELSCOPE: true
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HCCL_BUFFSIZE: 1024
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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_DETERMINISTIC: True
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TASK_QUEUE_ENABLE: 1
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HCCL_OP_RETRY_ENABLE: "L0:0, L1:0, L2:0"
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DYNAMIC_EPLB: true
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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]
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deployment:
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-
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server_cmd: >
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vllm serve vllm-ascend/DeepSeek-R1-0528-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-size-local 2
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--tensor-parallel-size 8
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--enforce-eager
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--enable-expert-parallel
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--seed 1024
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--quantization ascend
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--max-num-seqs 4
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--max-model-len 36864
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--max-num-batched-tokens 16384
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--trust-remote-code
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--gpu-memory-utilization 0.9
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--speculative-config '{"num_speculative_tokens": 1, "method":"mtp"}'
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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_module_path": "vllm_ascend.distributed.mooncake_connector",
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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": 8
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},
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"decode": {
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"dp_size": 32,
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"tp_size": 1
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}
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}
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}'
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--additional-config
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'{"enable_prefill_optimizations":true,"enable_weight_nz_layout":true,"dynamic_eplb":true,"num_iterations_eplb_update":2048,"num_wait_worker_iterations":200}'
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-
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server_cmd: >
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vllm serve vllm-ascend/DeepSeek-R1-0528-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-size-local 2
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--tensor-parallel-size 8
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--enforce-eager
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--enable-expert-parallel
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--seed 1024
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--quantization ascend
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--max-num-seqs 4
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--max-model-len 36864
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--max-num-batched-tokens 16384
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--trust-remote-code
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--gpu-memory-utilization 0.9
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--speculative-config '{"num_speculative_tokens": 1, "method":"mtp"}'
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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": "30100",
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"engine_id": "1",
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"kv_connector_module_path": "vllm_ascend.distributed.mooncake_connector",
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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": 8
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},
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"decode": {
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"dp_size": 32,
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"tp_size": 1
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}
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}
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}'
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--additional-config
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'{"enable_prefill_optimizations":true,"enable_weight_nz_layout":true,"dynamic_eplb":true,"num_iterations_eplb_update":2048,"num_wait_worker_iterations":200}'
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-
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server_cmd: >
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vllm serve vllm-ascend/DeepSeek-R1-0528-W8A8
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--host 0.0.0.0
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--port $SERVER_PORT
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--data-parallel-size 32
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--data-parallel-size-local 16
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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 1
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--enable-expert-parallel
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--seed 1024
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--quantization ascend
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--max-num-seqs 28
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--max-model-len 36864
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--max-num-batched-tokens 256
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--trust-remote-code
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--gpu-memory-utilization 0.9
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--speculative-config '{"num_speculative_tokens": 1, "method":"mtp"}'
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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": "2",
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"kv_connector_module_path": "vllm_ascend.distributed.mooncake_connector",
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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": 8
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},
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"decode": {
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"dp_size": 32,
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"tp_size": 1
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}
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}
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}'
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--additional-config
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'{"multistream_overlap_shared_expert":true,"dynamic_eplb":true,"num_iterations_eplb_update":2048,"num_wait_worker_iterations":200}'
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-
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server_cmd: >
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vllm serve vllm-ascend/DeepSeek-R1-0528-W8A8
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--headless
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--data-parallel-size 32
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--data-parallel-size-local 16
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--data-parallel-start-rank 16
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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 1
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--enable-expert-parallel
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--seed 1024
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--quantization ascend
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--max-num-seqs 28
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--max-model-len 36864
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--max-num-batched-tokens 256
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--trust-remote-code
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--gpu-memory-utilization 0.9
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--speculative-config '{"num_speculative_tokens": 1, "method":"mtp"}'
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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": "2",
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"kv_connector_module_path": "vllm_ascend.distributed.mooncake_connector",
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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": 8
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},
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"decode": {
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"dp_size": 32,
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"tp_size": 1
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}
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}
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}'
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--additional-config
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'{"multistream_overlap_shared_expert":true,"dynamic_eplb":true,"num_iterations_eplb_update":2048,"num_wait_worker_iterations":200}'
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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-bs2800
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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: 2800
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max_out_len: 1500
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batch_size: 700
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request_rate: 11.2
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baseline: 1
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threshold: 0.97
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acc:
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case_type: accuracy
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dataset_path: vllm-ascend/gsm8k
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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: 512
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baseline: 95
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threshold: 5
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