xc-llm-ascend

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王远 82fdd40d49 [Feat]Xlite Qwen3 MoE Support Data Parallel (#6715 )

### What this PR does / why we need it?
This patch adds support for the Qwen3-MoE data parallel in Xlite. For
more details about Xlite, please refer to the following
link:[https://atomgit.com/openeuler/GVirt/blob/master/xlite/README.md](https://atomgit.com/openeuler/GVirt/blob/master/xlite/README.md).

online server config:
```shell
port=$1
log=$2
export VLLM_USE_V1=1
export TASK_QUEUE_ENABLE=1
export HCCL_BUFFSIZE=512
export HCCL_OP_EXPANSION_MODE="AIV"
export OMP_PROC_BIND=false
export VLLM_ASCEND_ENABLE_NZ=0
sysctl -w vm.swappiness=0
sysctl -w kernel.numa_balancing=0
sysctl kernel.sched_migration_cost_ns=50000
ip=127.0.0.1
python -m vllm.entrypoints.openai.api_server \
        --model /mnt/nvme1n1/wy/models/Qwen3-30B-A3B  \
        --tensor-parallel-size 2 \
        --enable-expert-parallel \
        --data-parallel-size 4 \
        --gpu-memory-utilization 0.9 \
        --max-num-batched-tokens 32768 \
        --data-parallel-size-local 4 \
        --max-num-seqs=200 \
        --block-size 128 \
        --max-model-len 6656 \
        --trust-remote-code \
        --disable-log-requests \
        --served-model-name qwen \
        --no-enable-prefix-caching \
	--additional-config '{"xlite_graph_config": {"enabled": true, "full_mode": true}, "enable_cpu_binding": true}' \
	--compilation-config '{"cudagraph_capture_sizes":[1, 16, 32, 48, 64, 100, 150, 200], "cudagraph_mode": "FULL_DECODE_ONLY"}' \
	--async-scheduling \
	--host ${ip} \
	--port ${port} > ${log} 2>&1 &
``` 
test_config:
```shell
vllm bench serve \
    --max-concurrency ${maxconcurrency} \
    --num-prompts ${num_prompts} \
    --host ${HOST} \
    --port ${PORT} \
    --model ${MODEL_NAME} \
    --dataset-name random \
    --backend openai-chat \
    --random-input-len 512 \
    --random-output-len 512  \
    --random-range-ratio 0.2 \
    --temperature 0.6 \
    --metric-percentiles "50,90,99" \
    --tokenizer ${TOKENIZER_PATH} \
    --endpoint /v1/chat/completions \
    --ignore-eos
``` 

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?


- vLLM version: v0.16.0
- vLLM main:
c86cdcbcd2

Signed-off-by: uuzWY <Ethan.wangyuan@huawei.com>
Co-authored-by: uuzWY <Ethan.wangyuan@huawei.com>

2026-03-09 17:53:35 +08:00

_310p

[300I][Bugfix] fix unquant model weight nd2nz error (#6851 )

2026-03-03 15:57:26 +08:00

_cann_ops_custom

[Kernel] add custom op GmmSwigluQuantWeightNzTensorList (#3804 )

2025-11-28 18:06:39 +08:00

attention

[Refactor][EAGLE] 8/N delete mtp_proposer (re-pull) (#7033 )

2026-03-06 17:11:22 +08:00

compilation

[bugfix] fix pass bug: pass really rope dim for npu_rotary_embedding (#6880 )