使用样例

本章节简单介绍如何使用异步调度功能，并使用MindIE Benchmark工具展示调优方式。

限制与约束

支持PD混部和PD分离场景。

操作步骤

设置环境变量，打开异步调度功能。该环境变量详细说明请参见环境变量。
```
export MINDIE_ASYNC_SCHEDULING_ENABLE=1
```

配置MindIE Motor的config.json文件中异步调度等待时间参数“async_scheduler_wait_time”。

cd {MindIE安装目录}/latest/mindie-service/
vi conf/config.json

本特性在maxBatchSize较大时收益比较明显，故选取小模型且maxBatchSize设置为200，请根据具体业务场景进行配置调整。

"BackendConfig" : {
        "backendName" : "mindieservice_llm_engine",
        "modelInstanceNumber" : 1,
        "npuDeviceIds" : [[6,7]],
        "tokenizerProcessNumber" : 8,
        "multiNodesInferEnabled" : false,
        "multiNodesInferPort" : 1120,
        "interNodeTLSEnabled" : true,
        "interNodeTlsCaPath" : "security/grpc/ca/",
        "interNodeTlsCaFiles" : ["ca.pem"],
        "interNodeTlsCert" : "security/grpc/certs/server.pem",
        "interNodeTlsPk" : "security/grpc/keys/server.key.pem",
        "interNodeTlsPkPwd" : "security/grpc/pass/mindie_server_key_pwd.txt",
        "interNodeTlsCrlPath" : "security/grpc/certs/",
        "interNodeTlsCrlFiles" : ["server_crl.pem"],
        "interNodeKmcKsfMaster" : "tools/pmt/master/ksfa",
        "interNodeKmcKsfStandby" : "tools/pmt/standby/ksfb",
        "ModelDeployConfig" :
        {
            "maxSeqLen" : 2560,
            "maxInputTokenLen" : 2048,
            "truncation" : false,
            "ModelConfig" : [
                {
                    "modelInstanceType" : "Standard",
                    "modelName" : "llama3-8b",
                    "modelWeightPath" : "/data/atb_testdata/weights/Meta-Llama-3-8B",
                    "worldSize" : 2,
                    "cpuMemSize" : 5,
                    "npuMemSize" : 2,
                    "backendType" : "atb",
                    "trustRemoteCode" : false,
                    "async_scheduler_wait_time": 120
                }
            ]
        },
        "ScheduleConfig" :
        {
            "templateType" : "Standard",
            "templateName" : "Standard_LLM",
            "cacheBlockSize" : 128,
            "maxPrefillBatchSize" : 50,
            "maxPrefillTokens" : 8192,
            "prefillTimeMsPerReq" : 150,
            "prefillPolicyType" : 0,
            "decodeTimeMsPerReq" : 50,
            "decodePolicyType" : 0,
            "maxBatchSize" : 200,
            "maxIterTimes" : 512,
            "maxPreemptCount" : 0,
            "supportSelectBatch" : false,
            "maxQueueDelayMicroseconds" : 5000
        }
}

启动服务。
```
./bin/mindieservice_daemon
```

执行如下命令，使用MindIE Benchmark工具开始调优，MindIE Benchmark参数详细说明请参见输入参数。

benchmark \
--DatasetPath "/{数据集路径}/GSM8K" \
--DatasetType "gsm8k" \
--ModelName "llama3-8b" \
--ModelPath "/{模型权重路径}/Meta-Llama-3-8B" \
--TestType client \
--Http https://{ipAddress}:{port} \
--ManagementHttp https://{managementIpAddress}:{managementPort} \
--Tokenizer True \
--MaxOutputLen 512 \
--TaskKind stream \
--WarmupSize 1 \
--DoSampling False  \
--Concurrency 200 \
--TestAccuracy True\

父主题： 异步调度