297f6deb09
### What this PR does / why we need it?
Align multi-node nightly test paramter with tutorials documents.
### Does this PR introduce _any_ user-facing change?
NA
### How was this patch tested?
Test locally and nighly e2e multi-node test cases.
- vLLM version: v0.13.0
- vLLM main:
2f4e6548ef
---------
Signed-off-by: leo-pony <nengjunma@outlook.com>
63 lines
1.9 KiB
YAML
63 lines
1.9 KiB
YAML
test_name: "test DeepSeek-R1-W8A8 on A2"
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model: "vllm-ascend/DeepSeek-R1-0528-W8A8"
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num_nodes: 2
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npu_per_node: 8
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env_common:
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VLLM_ASCEND_ENABLE_MLAPO: 1
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VLLM_ASCEND_BALANCE_SCHEDULING: 1
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HCCL_INTRA_PCIE_ENABLE: 1
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HCCL_INTRA_ROCE_ENABLE: 0
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PYTORCH_NPU_ALLOC_CONF: expandable_segments:True
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VLLM_USE_MODELSCOPE: true
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HCCL_BUFFSIZE: 200
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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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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 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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--no-enable-prefix-caching
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--max-num-seqs 16
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--tensor-parallel-size 4
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--max-model-len 16384
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--max-num-batched-tokens 4096
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--enable-expert-parallel
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--async-scheduling
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--trust-remote-code
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--quantization ascend
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--gpu-memory-utilization 0.92
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--speculative-config '{"num_speculative_tokens": 3, "method":"mtp"}'
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--compilation-config '{"cudagraph_capture_sizes":[4,16,32,48,64], "cudagraph_mode": "FULL_DECODE_ONLY"}'
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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 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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--no-enable-prefix-caching
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--max-num-seqs 16
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--tensor-parallel-size 4
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--max-model-len 16384
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--max-num-batched-tokens 4096
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--enable-expert-parallel
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--async-scheduling
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--trust-remote-code
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--quantization ascend
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--gpu-memory-utilization 0.92
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--speculative-config '{"num_speculative_tokens": 3, "method":"mtp"}'
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--compilation-config '{"cudagraph_capture_sizes":[4,16,32,48,64], "cudagraph_mode": "FULL_DECODE_ONLY"}'
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benchmarks:
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