$ aihc [资源] <command> [flags] [options]

$ aihc pool list [flags] -h 
 -h, --help             help for list
 -l, --limit int        Number of resource pools to return (default 100) 设置返回资源池最大数量
      --offset int       Offset of the first resource pool to return
      --order string     Sort order (asc, desc) (default "desc")
 -o, --orderBy string   Order by field (name, createTime) (default "createTime") 按照指定创建时间、用户名称查询
 -p, --pageNo int       Page number (default 1)  指定返回的页数
 -s, --pageSize int     Page size (default 100)  指定每页返回的资源池数量

$ aihc pool get [flags]
-h, --help          help for get
-p, --pool string   Resource pool ID 指定资源池ID

aihc node list [flags]
 -h, --help   help for node

aihc queue list/ls [flags]
-h, --help          help for list
-p, --pool string   Resource pool ID 指定资源池

aihc queue get [flags]
-h, --help          help for get
-p, --pool string   Resource pool ID 指定资源池ID
```bash
## 任务相关操作
### 单任务创建
#### 直接传参方式创建任务

aihc job create [flags]

flags:
  -c, --command string        可选，指定训练任务的入口命令 (与--script-file二选一，必须设置一个) #可选
      --ds-mountpath string   数据源挂载路径  #可选
      --ds-name string        数据源名称     #可选
      --ds-type string        数据源类型     #可选
      --env strings           环境变量 (key=value) #可选
      --framework string      任务框架类型 (default "pytorch") #必填
      --gpu strings           GPU资源 (type=count)    #必填
  -h, --help                  help for create
      --image string          容器镜像  #必填
  -f, --job-file strings      任务配置文件路径(支持多个文件)，格式: json/yaml #可选
      --label strings         标签 (key=value)  #可选
  -n, --name string           任务名称  #必填
  -p, --pool string           资源池ID (如未指定则使用配置文件中的默认值) #未指定默认时必填 
      --priority string       任务优先级 (low/normal/high) (default "normal") #必填
  -r, --replicas int32        任务副本数 (default 1) #选填
      --script-file string    命令脚本的路径，以脚本的方式指定训练任务的入口命令 (与--command二选一，必须设置一个) #可选

# 支持使用json或yaml格式文件传递参数，详见参数模板，创建任务支持的参数详见创建任务接口参数：https://cloud.baidu.com/doc/AIHC/s/jm56inxn7
# 接口请求body参数的yaml文件
aihc job create -f ./job_info.yaml

# 接口请求body参数的json文件
aihc job create -f ./job_info.json

{
  "name": "qwen2-vl-test-4-copy2",
  "queue": "",
  "jobFramework": "pytorch",
  "jobSpec": {
    "command": "cd /data \u0026\u0026 mkdir qwen2-vl\n\ncp /mnt/ca-p800-poc/llava-en-zh-300k.tar.gz /data/qwen2-vl/\n#cp /mnt/ca-p800-poc/llava-en-zh-2k.tar.gz /data/qwen2-vl/\ncd /data/qwen2-vl\n\ntar -zxvf llava-en-zh-300k.tar.gz \u0026\u0026 rm llava-en-zh-300k.tar.gz\n#tar -zxvf llava-en-zh-2k.tar.gz \u0026\u0026 rm llava-en-zh-2k.tar.gz\n\n# code\ncp /mnt/ca-p800-poc/models/qwen2-vl.tar.gz /home/\ncd /home/\ntar -zxvf qwen2-vl.tar.gz \u0026\u0026 rm qwen2-vl.tar.gz\n\n# model weights\ncp /mnt/ca-p800-poc/Qwen2-VL-7B-Instruct.tar.gz .\ntar -zxvf Qwen2-VL-7B-Instruct.tar.gz \u0026\u0026 rm Qwen2-VL-7B-Instruct.tar.gz\n\n#train lora\ncd /home/qwen2-vl/\nconda activate llamafactory_env\nexport PATH=/root/miniconda/envs/llamafactory_env/bin:$PATH\nexport PYTHONPATH=$PYTHONPATH:/home/qwen2-vl/\n\napt-get install dnsutils -y\npip install deepspeed==0.14.5\n\nsource env.sh\nnohup bash dist_train.sh lora \u0026\n\nsleep 100000",
    "image": "ccr-2ccrtest-vpc.cnc.bj.baidubce.com/yetao04-ca-test/qwen2vl_p800_image:v1.0",
    "imageConfig": {
      "username": "",
      "password": ""
    },
    "replicas": 4,
    "resources": [
      {
        "name": "kunlunxin.com/xpu",
        "quantity": 8
      },
      {
        "name": "rdma/hca",
        "quantity": 1
      },
      {
        "name": "sharedMemory",
        "quantity": 1024
      }
    ],
    "envs": [
      {
        "name": "AIHC_JOB_NAME",
        "value": "qwen2-vl-test-4-copy1"
      },
      {
        "name": "NCCL_IB_DISABLE",
        "value": "0"
      }
    ],
    "enableRDMA": true,
    "hostNetwork": true
  },
  "faultTolerance": false,
  "labels": [
    {
      "key": "aijob.cce.baidubce.com/ai-user-id",
      "value": "ac3553acbb8d4c5e9b212fc0a04c8f7d"
    },
    {
      "key": "aijob.cce.baidubce.com/ai-user-name",
      "value": "daichaonan"
    },
    {
      "key": "aijob.cce.baidubce.com/create-from-aihcp",
      "value": "true"
    },
    {
      "key": "aijob.cce.baidubce.com/openapi-jobid",
      "value": "pytorchjob-a53c413c-8e96-416b-8d6a-bc3e1b16a406"
    }
  ],
  "priority": "high",
  "datasources": [
    {
      "type": "pfsl1",
      "sourcePath": "/yetao04",
      "mountPath": "/mnt",
      "name": "pfs-zesqWP",
      "options": {
        "sizeLimit": 1000,
        "medium": "",
        "readOnly": false,
        "pfsL1ClusterIp": "172.16.0.221",
        "pfsL1ClusterPort": "8888"
      }
    },
    {
      "type": "hostpath",
      "sourcePath": "/ssd1",
      "mountPath": "/data",
      "name": "hostpath-1",
      "options": {
        "sizeLimit": 0,
        "medium": "",
        "readOnly": false
      }
    }
  ],
  "faultToleranceConfig": {
    "enabledHangDetection": false,
    "hangDetectionTimeoutMinutes": 0,
    "faultToleranceLimit": 0,
    "customFaultTolerancePattern": null
  },
  "alertConfig": null,
  "enableBccl": false
}

name: qwen2-vl-test-4-cli-test
queue: ""
jobFramework: pytorch
jobSpec:
  command: |
    sleep 100000
  image: ccr-2ccrtest-vpc.cnc.bj.baidubce.com/yetao04-ca-test/qwen2vl_p800_image:v1.0
  imageConfig:
    username: ""
    password: ""
  replicas: 4
  resources:
    - name: kunlunxin.com/xpu
      quantity: 8
    - name: rdma/hca
      quantity: 1
    - name: sharedMemory
      quantity: 1024
  envs:
    - name: AIHC_JOB_NAME
      value: qwen2-vl-test-4-copy1
    - name: NCCL_IB_DISABLE
      value: "0"
  enableRDMA: true
  hostNetwork: true
faultTolerance: false
labels:
  - key: aijob.cce.baidubce.com/ai-user-id
    value: ac3553acbb8d4c5e9b212fc0a04c8f7d
  - key: aijob.cce.baidubce.com/ai-user-name
    value: daichaonan
  - key: aijob.cce.baidubce.com/create-from-aihcp
    value: "true"
  - key: aijob.cce.baidubce.com/openapi-jobid
    value: pytorchjob-a53c413c-8e96-416b-8d6a-bc3e1b16a406
priority: high
datasources:
  - type: pfsl1   目前只支持pfs
    sourcePath: /yetao04
    mountPath: /mnt
    name: pfs-zesqWP
    options:
      sizeLimit: 1000
      medium: ""
      readOnly: false
      pfsL1ClusterIp: "172.16.0.221"
      pfsL1ClusterPort: "8888"
faultToleranceConfig:
  enabledHangDetection: false
  hangDetectionTimeoutMinutes: 0
  faultToleranceLimit: 0
  customFaultTolerancePattern: null
alertConfig: null
enableBccl: false

aihc job create -f job-1.yaml -f job-2.yaml ..-f ..

aihc job delete [flags]
  -h, --help          help for delete
  -p, --pool string   资源池ID

aihc job stop [flags]

Flags:
  -h, --help          help for stop
  -p, --pool string   资源池ID

aihc job get [flags]
Flags:
  -h, --help          help for get
      --pods          是否展示作业的实例信息
  -p, --pool string   资源池ID
  -s, --status        显示任务状态简要信息

aihc job get  jobID  --status/ -s 

aihc pod list jobID

aihc job list/ls [flags]

Flags:
  -h, --help           help for list
  -n, --name string    任务名称关键字 
      --order string   排序方式(asc/desc) (default "desc")
      --page int       页码 (default 1)
  -p, --pool string    资源池ID 
      --size int       每页显示数量 (default 100)

aihc job exec [flags]

Flags:
  -c, --container string   容器名称
  -h, --help               help for exec
  -i, --interactive        保持标准输入打开
  -n, --namespace string   命名空间 (默认为 default)
  -p, --pool string        资源池ID
  -t, --tty                分配伪终端

aihc job export [flags]

Flags:
  -h, --help          help for export
  -p, --pool string   资源池ID

aihc job logs [flags]

Flags:
  -h, --help               help for logs
  -n, --namespace string   命名空间 (默认为 default)
      --podname string     Pod名称
  -p, --pool string        资源池ID