086c093347
# What this PR does / why we need it?
Add DeepSeek-V3.2-W8A8 dual-node nightly CI test and update A3 nightly
test configuration:
1. Add DeepSeek-V3.2-W8A8 dual-node test:
tests/e2e/nightly/multi_node/config/DeepSeek-V3_2-W8A8-A3-dual-nodes.yaml
- 2 nodes, 16 NPUs per node (32 NPUs total)
- Configuration: 2P+1D (data-parallel-size=4, tensor-parallel-size=8,
data-parallel-size-local=2)
- Includes performance and accuracy benchmarks with GSM8K dataset
2. Update A3 nightly workflow: .github/workflows/nightly_test_a3.yaml
- Added DeepSeek-V3.2-W8A8 dual-node test to the A3 nightly test matrix
- Test name: multi-node-dpsk3.2-2node
3. Improve test scripts: Updated
.github/workflows/_e2e_nightly_multi_node.yaml and related scripts for
better multi-node testing support
test on A3 instances
- Performance baseline: 1 (threshold: 0.97)
- Accuracy baseline: 95% (threshold: 5%)
- Test dataset: GSM8K with 512 prompts for performance, gsm8k-lite for
accuracy
---------
Signed-off-by: guozr <guozr1997@hotmail.com>
Co-authored-by: guozr <guozr1997@hotmail.com>
87 lines
2.4 KiB
YAML
87 lines
2.4 KiB
YAML
test_name: "test DeepSeek-V3.2-W8A8 on A3"
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model: "vllm-ascend/DeepSeek-V3.2-W8A8"
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num_nodes: 2
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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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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: 1
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VLLM_ASCEND_ENABLE_MLAPO: 1
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PYTORCH_NPU_ALLOC_CONF: "expandable_segments:True"
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VLLM_ASCEND_ENABLE_FLASHCOMM1: 1
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ASCEND_A3_EBA_ENABLE: 1
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deployment:
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-
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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 4
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--data-parallel-size-local 2
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--data-parallel-address $LOCAL_IP
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--data-parallel-rpc-port 13399
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--tensor-parallel-size 8
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--quantization ascend
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--seed 1024
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--enable-expert-parallel
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--max-num-seqs 16
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--max-model-len 8192
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--max-num-batched-tokens 4096
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--no-enable-prefix-caching
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--gpu-memory-utilization 0.85
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--trust-remote-code
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--speculative-config '{"num_speculative_tokens": 2, "method":"deepseek_mtp"}'
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--tokenizer-mode deepseek_v32
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--reasoning-parser deepseek_v3
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--api-server-count 4
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-
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server_cmd: >
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vllm serve vllm-ascend/DeepSeek-V3.2-W8A8
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--headless
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--data-parallel-size 4
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--data-parallel-rpc-port 13399
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--data-parallel-size-local 2
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--data-parallel-start-rank 2
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--data-parallel-address $MASTER_IP
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--tensor-parallel-size 8
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--quantization ascend
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--seed 1024
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--enable-expert-parallel
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--max-num-seqs 16
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--max-model-len 8192
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--max-num-batched-tokens 4096
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--no-enable-prefix-caching
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--gpu-memory-utilization 0.85
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--trust-remote-code
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--speculative-config '{"num_speculative_tokens": 2, "method":"deepseek_mtp"}'
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--tokenizer-mode deepseek_v32
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--reasoning-parser deepseek_v3
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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: 512
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max_out_len: 3000
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batch_size: 512
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request_rate: 11.2
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baseline: 594.915
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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-lite
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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: 4096
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batch_size: 64
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baseline: 95
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threshold: 5
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