3.3. 测试 AMD GPU Operator

流程

1. 创建测试 ROCmInfo 的 YAML 文件：

   $ cat << EOF > rocminfo.yaml
   
   apiVersion: v1
   kind: Pod
   metadata:
    name: rocminfo
   spec:
    containers:
    - image: docker.io/rocm/pytorch:latest
      name: rocminfo
      command: ["/bin/sh","-c"]
      args: ["rocminfo"]
      resources:
       limits:
         amd.com/gpu: 1
       requests:
         amd.com/gpu: 1
    restartPolicy: Never
   EOF

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2. 创建 rocminfo pod:

   $ oc create -f rocminfo.yaml

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   输出示例

   apiVersion: v1
   pod/rocminfo created

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3. 使用一个 MI210 GPU 检查 rocmnfo 日志：

   $ oc logs rocminfo | grep -A5 "Agent"

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   输出示例

   HSA Agents
   ==========
   *******
   Agent 1
   *******
     Name:                    Intel(R) Xeon(R) Gold 6330 CPU @ 2.00GHz
     Uuid:                    CPU-XX
     Marketing Name:          Intel(R) Xeon(R) Gold 6330 CPU @ 2.00GHz
     Vendor Name:             CPU
   --
   Agent 2
   *******
     Name:                    Intel(R) Xeon(R) Gold 6330 CPU @ 2.00GHz
     Uuid:                    CPU-XX
     Marketing Name:          Intel(R) Xeon(R) Gold 6330 CPU @ 2.00GHz
     Vendor Name:             CPU
   --
   Agent 3
   *******
     Name:                    gfx90a
     Uuid:                    GPU-024b776f768a638b
     Marketing Name:          AMD Instinct MI210
     Vendor Name:             AMD

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4. 删除 Pod：

   $ oc delete -f rocminfo.yaml

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   输出示例

   pod "rocminfo" deleted

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