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[CI] Ds32 ep aime2025 (#8496)

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Backport of #7882 to releases/v0.18.0. Adds aime2025 benchmark test for
DeepSeek-V3.2-W8A8 EP with disaggregated prefill on A3 (4-node, 16 NPUs
per node, accuracy benchmark baseline 66.67%).

Signed-off-by: guozr <guozr1997@hotmail.com>
Co-authored-by: guozr <guozr1997@hotmail.com>
This commit is contained in:
starmountain1997
2026-04-21 19:49:06 +08:00
committed by GitHub
parent 862bd8143c
commit 2cb9f76a0f
2 changed files with 222 additions and 0 deletions
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3
.github/workflows/schedule_nightly_test_a3.yaml vendored
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@@ -119,6 +119,9 @@ jobs:
- name: multi-node-deepseek-v3.2-W8A8-EP - name: multi-node-deepseek-v3.2-W8A8-EP
config_file_path: DeepSeek-V3_2-W8A8-EP.yaml config_file_path: DeepSeek-V3_2-W8A8-EP.yaml
size: 4 size: 4
- name: multi-node-deepseek-v3.2-W8A8-EP-aime2025
config_file_path: DeepSeek-V3_2-W8A8-EP-aime2025.yaml
size: 4
uses: ./.github/workflows/_e2e_nightly_multi_node.yaml uses: ./.github/workflows/_e2e_nightly_multi_node.yaml
with: with:
soc_version: a3 soc_version: a3

219
tests/e2e/nightly/multi_node/config/DeepSeek-V3_2-W8A8-EP-aime2025.yaml Normal file
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@@ -0,0 +1,219 @@
test_name: "test DeepSeek-V3.2-W8A8-EP disaggregated_prefill"
model: "vllm-ascend/DeepSeek-V3.2-W8A8"
num_nodes: 4
npu_per_node: 16
env_common:
HCCL_OP_EXPANSION_MODE: "AIV"
VLLM_USE_MODELSCOPE: true
SERVER_PORT: 8080
OMP_PROC_BIND: false
OMP_NUM_THREADS: 10
PYTORCH_NPU_ALLOC_CONF: "expandable_segments:True"
HCCL_BUFFSIZE: 1024
VLLM_TORCH_PROFILER_WITH_STACK: 0
ASCEND_AGGREGATE_ENABLE: 1
ASCEND_TRANSPORT_PRINT: 1
ACL_OP_INIT_MODE: 1
ASCEND_A3_ENABLE: 1
VLLM_NIXL_ABORT_REQUEST_TIMEOUT: 300000
VLLM_ENGINE_READY_TIMEOUT_S: 1800
HCCL_CONNECT_TIMEOUT: 1200
HCCL_INTRA_PCIE_ENABLE: 1
HCCL_INTRA_ROCE_ENABLE: 0
disaggregated_prefill:
enabled: true
prefiller_host_index: [0, 1]
decoder_host_index: [2, 3]
deployment:
-
envs:
VLLM_ASCEND_ENABLE_FLASHCOMM1: 1
server_cmd: >
vllm serve vllm-ascend/DeepSeek-V3.2-W8A8
--host 0.0.0.0
--port $SERVER_PORT
--data-parallel-size 2
--data-parallel-start-rank 0
--data-parallel-size-local 1
--data-parallel-address $LOCAL_IP
--tensor-parallel-size 16
--enable-expert-parallel
--speculative-config '{"num_speculative_tokens": 2, "method":"deepseek_mtp"}'
--seed 1024
--quantization ascend
--max-num-seqs 64
--max-model-len 85000
--max-num-batched-tokens 16384
--trust-remote-code
--gpu-memory-utilization 0.82
--enforce-eager
--no-enable-prefix-caching
--additional-config '{"enable_cpu_binding" : false, "enable_sfa_cp":false,"layer_sharding": ["q_b_proj", "o_proj"]}'
--tokenizer-mode deepseek_v32
--reasoning-parser deepseek_v3
--kv-transfer-config
'{"kv_connector": "MooncakeConnectorV1",
"kv_role": "kv_producer",
"kv_port": "30000",
"engine_id": "0",
"kv_connector_extra_config": {
"prefill": {
"dp_size": 2,
"tp_size": 16
},
"decode": {
"dp_size": 8,
"tp_size": 4
}
}
}'
-
envs:
VLLM_ASCEND_ENABLE_FLASHCOMM1: 1
server_cmd: >
vllm serve vllm-ascend/DeepSeek-V3.2-W8A8
--host 0.0.0.0
--headless
--port $SERVER_PORT
--data-parallel-size 2
--data-parallel-start-rank 1
--data-parallel-size-local 1
--data-parallel-address $MASTER_IP
--tensor-parallel-size 16
--enable-expert-parallel
--speculative-config '{"num_speculative_tokens": 2, "method":"deepseek_mtp"}'
--seed 1024
--quantization ascend
--max-num-seqs 64
--max-model-len 85000
--max-num-batched-tokens 16384
--trust-remote-code
--gpu-memory-utilization 0.82
--enforce-eager
--no-enable-prefix-caching
--additional-config '{"enable_cpu_binding" : false, "enable_sfa_cp":false,"layer_sharding": ["q_b_proj", "o_proj"]}'
--tokenizer-mode deepseek_v32
--reasoning-parser deepseek_v3
--kv-transfer-config
'{"kv_connector": "MooncakeConnectorV1",
"kv_role": "kv_producer",
"kv_port": "30000",
"engine_id": "0",
"kv_connector_extra_config": {
"prefill": {
"dp_size": 2,
"tp_size": 16
},
"decode": {
"dp_size": 8,
"tp_size": 4
}
}
}'
-
envs:
VLLM_ASCEND_ENABLE_MLAPO: 1
TASK_QUEUE_ENABLE: 1
server_cmd: >
vllm serve vllm-ascend/DeepSeek-V3.2-W8A8
--host 0.0.0.0
--port $SERVER_PORT
--data-parallel-size 8
--data-parallel-size-local 4
--data-parallel-start-rank 0
--data-parallel-address $LOCAL_IP
--data-parallel-rpc-port 13389
--tensor-parallel-size 4
--enable-expert-parallel
--speculative-config '{"num_speculative_tokens": 2, "method":"deepseek_mtp"}'
--seed 1024
--quantization ascend
--max-model-len 85000
--max-num-batched-tokens 12
--compilation-config '{"cudagraph_mode":"FULL_DECODE_ONLY", "cudagraph_capture_sizes":[3, 6, 9, 12]}'
--trust-remote-code
--max-num-seqs 4
--gpu-memory-utilization 0.95
--no-enable-prefix-caching
--async-scheduling
--additional-config '{"enable_cpu_binding" : false,"recompute_scheduler_enable" : true}'
--tokenizer-mode deepseek_v32
--reasoning-parser deepseek_v3
--kv-transfer-config
'{"kv_connector": "MooncakeConnectorV1",
"kv_role": "kv_consumer",
"kv_port": "30200",
"engine_id": "1",
"kv_connector_extra_config": {
"prefill": {
"dp_size": 2,
"tp_size": 16
},
"decode": {
"dp_size": 8,
"tp_size": 4
}
}
}'
-
envs:
VLLM_ASCEND_ENABLE_MLAPO: 1
TASK_QUEUE_ENABLE: 1
server_cmd: >
vllm serve vllm-ascend/DeepSeek-V3.2-W8A8
--host 0.0.0.0
--headless
--port $SERVER_PORT
--data-parallel-size 8
--data-parallel-size-local 4
--data-parallel-start-rank 4
--data-parallel-address $MASTER_IP
--data-parallel-rpc-port 13389
--tensor-parallel-size 4
--enable-expert-parallel
--speculative-config '{"num_speculative_tokens": 2, "method":"deepseek_mtp"}'
--seed 1024
--quantization ascend
--max-model-len 85000
--max-num-batched-tokens 12
--compilation-config '{"cudagraph_mode":"FULL_DECODE_ONLY", "cudagraph_capture_sizes":[3, 6, 9, 12]}'
--trust-remote-code
--max-num-seqs 4
--gpu-memory-utilization 0.95
--no-enable-prefix-caching
--async-scheduling
--additional-config '{"enable_cpu_binding" : false,"recompute_scheduler_enable" : true}'
--tokenizer-mode deepseek_v32
--reasoning-parser deepseek_v3
--kv-transfer-config
'{"kv_connector": "MooncakeConnectorV1",
"kv_role": "kv_consumer",
"kv_port": "30200",
"engine_id": "1",
"kv_connector_extra_config": {
"prefill": {
"dp_size": 2,
"tp_size": 16
},
"decode": {
"dp_size": 8,
"tp_size": 4
}
}
}'
benchmarks:
acc:
case_type: accuracy
dataset_path: vllm-ascend/aime2025
request_conf: vllm_api_general_chat
dataset_conf: aime2025/aime2025_gen_0_shot_chat_prompt
max_out_len: 72348
batch_size: 32
baseline: 66.67
threshold: 7