7f73c28a24
### What this PR does / why we need it?
This pull request mainly do the following things:
1. Add a doc for multi-node CI, The main content is the mechanism
principle and how to contribute
2. Simplify the config yaml for more developer-friendly
3. Optimized the mooncake installation script to prevent accidental
failures during installation
4. Fix the workflow to ensure the kubernetes can be apply correctly
5. Add Qwen3-235B-W8A8 disaggregated_prefill test
6. Add GLM-4.5 multi dp test
7. Add 2p1d 4nodes disaggregated_prefill test
8. Refactor nightly tests
### Does this PR introduce _any_ user-facing change?
### How was this patch tested?
- vLLM version: v0.11.0rc3
- vLLM main:
17c540a993
---------
Signed-off-by: wangli <wangli858794774@gmail.com>
106 lines
3.0 KiB
YAML
106 lines
3.0 KiB
YAML
test_name: "test Qwen3-235B-A22B-W8A8 disaggregated_prefill"
|
|
model: "vllm-ascend/Qwen3-235B-A22B-W8A8"
|
|
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
|
|
disaggregated_prefill:
|
|
enabled: true
|
|
prefiller_host_index: [0]
|
|
decoder_host_index: [1]
|
|
|
|
deployment:
|
|
-
|
|
server_cmd: >
|
|
vllm serve "vllm-ascend/Qwen3-235B-A22B-W8A8"
|
|
--host 0.0.0.0
|
|
--port $SERVER_PORT
|
|
--data-parallel-size 2
|
|
--data-parallel-size-local 2
|
|
--tensor-parallel-size 8
|
|
--seed 1024
|
|
--enable-expert-parallel
|
|
--max-num-seqs 16
|
|
--max-model-len 8192
|
|
--max-num-batched-tokens 8192
|
|
--quantization ascend
|
|
--trust-remote-code
|
|
--no-enable-prefix-caching
|
|
--gpu-memory-utilization 0.9
|
|
--kv-transfer-config
|
|
'{"kv_connector": "MooncakeConnector",
|
|
"kv_role": "kv_producer",
|
|
"kv_port": "30000",
|
|
"engine_id": "0",
|
|
"kv_connector_module_path": "vllm_ascend.distributed.mooncake_connector",
|
|
"kv_connector_extra_config": {
|
|
"prefill": {
|
|
"dp_size": 2,
|
|
"tp_size": 8
|
|
},
|
|
"decode": {
|
|
"dp_size": 2,
|
|
"tp_size": 8
|
|
}
|
|
}
|
|
}'
|
|
|
|
-
|
|
server_cmd: >
|
|
vllm serve "vllm-ascend/Qwen3-235B-A22B-W8A8"
|
|
--host 0.0.0.0
|
|
--port $SERVER_PORT
|
|
--data-parallel-size 2
|
|
--data-parallel-size-local 2
|
|
--tensor-parallel-size 8
|
|
--seed 1024
|
|
--quantization ascend
|
|
--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
|
|
--kv-transfer-config
|
|
'{"kv_connector": "MooncakeConnector",
|
|
"kv_role": "kv_consumer",
|
|
"kv_port": "30200",
|
|
"engine_id": "1",
|
|
"kv_connector_module_path": "vllm_ascend.distributed.mooncake_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-bs400
|
|
request_conf: vllm_api_stream_chat
|
|
dataset_conf: gsm8k/gsm8k_gen_0_shot_cot_str_perf
|
|
num_prompts: 1
|
|
max_out_len: 2
|
|
batch_size: 1
|
|
baseline: 5
|
|
threshold: 0.97
|
|
acc:
|
|
case_type: accuracy
|
|
dataset_path: vllm-ascend/AIME2024
|
|
request_conf: vllm_api_general_chat
|
|
dataset_conf: aime2024/aime2024_gen_0_shot_chat_prompt
|
|
max_out_len: 10
|
|
batch_size: 32
|
|
baseline: 1
|
|
threshold: 1
|