Cafba

还是一样的报错，这不是缺依赖的问题吗，怎么总用mx-smi在卡上找原因

按照官方文档的步骤装的，镜像下载到本地，没有使用仓库，SDK 的镜像也有

现在看的是第一个缺少stdio的问题吗，第二个设备占用的问题已经解决了

...如下：

刚创建了一个，另外论坛没有删帖功能吗，好像发了两个一模一样的帖子

apiVersion: v1
kind: Pod
metadata:
  name: sample-pod
spec:
  schedulerName: hami-scheduler
  containers:
    - name: ubuntu
      image: ubuntu:22.04
      imagePullPolicy: IfNotPresent
      command: ['bash', '-c']
      args: ["sleep infinity"]
      resources:
        limits:
          metax-tech.com/sgpu: 1 # requesting 1 GPU
          metax-tech.com/vcore: 60 # requesting 60% compute of full GPU
          metax-tech.com/vmemory: 4 # requesting 4 GiB device memory of full GPU

一、软硬件信息
1.服务器厂家:
2.沐曦GPU型号：C550
3.操作系统内核版本：Linux mx-oam-151 5.15.0-58-generic #64~20.04.1-Ubuntu SMP Fri Jan 6 16:42:31 UTC 2023 x86_64 x86_64 x86_64 GNU/Linux
4.是否开启CPU虚拟化：开启

二、具体问题1
GPU-Operator部署后使用的SDK如图，

创建的pod如下

apiVersion: v1
kind: Pod
metadata:
  name: task-sample-pod-2
spec:
  schedulerName: hami-scheduler
  containers:
    - name: ubuntu-task
      image: docker.io/ubuntu:20.04
      imagePullPolicy: Never
      command: [
        "bash",
        "-c",
        "cp -r /opt/maca/samples/0_Introduction/vectorAdd /home;
        cd /home/vectorAdd;
        mxcc -x maca vectorAdd.cpp -o vectorAdd --maca-path=/opt/maca;
        ./vectorAdd > log/vectoradd_exec_output.log;
        tail -f /dev/null",
      ]
      resources:
        limits:
          metax-tech.com/sgpu: 1 # requesting 1 GPU
          metax-tech.com/vcore: 40 # requesting 60% compute of full GPU
          metax-tech.com/vmemory: 4 # requesting 4 GiB device memory of full GPU

报错如下：

三、具体问题2
如果新创建一个 pod，会显示
Allocate failed due to rpc error: code = Unknown desc = set 0000:c2:00.0 model error write /proc/1/root/sys/bus/pci/devices/0000:c2:00.0/model: device or resource busy, which is unexpected
但mx-smi如下，并没有使用第二张卡