Trainbow

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the logs in ps node: ![image](https://user-images.githubusercontent.com/26664964/186144511-96af328f-6227-4bc7-b91a-062e51ea6cdc.png) the logs in worker node: ![image](https://user-images.githubusercontent.com/26664964/186144349-3ced36a4-5e53-426b-8e4d-0fb880ace2e4.png)

Thanks for response. Looking forward to this feature!

已收到,谢谢!

已收到,谢谢!

@srikumar003 Thank you for your prompt reply, I tried to see the label of "monitor-pods-datasets" and it was set to "enabled." ``` kubectl get ns dlf --show-labels | grep monitor-pods-datasets...

@srikumar003 I tried the same install steps in the local docker-desktop k8s, and it works, so I think the minio's endpoint is correct. Do you mean that the datashim's plugin...

你好,我在尝试volcano gpu number的服务调度,在根据volcano的教程步骤安装之后,每一个带gpu的node都能够正确的显示有多少块gpu,但是在创建pod的时候,container的容器中没有volcano-gpu-number这一个环境变量,在里面输入nvidia-smi能够看到该节点所有的gpu,想问一下是否需要更改yaml文件?

> > 你好,我在尝试volcano gpu number的服务调度,在根据volcano的教程步骤安装之后,每一个带gpu的node都能够正确的显示有多少块gpu,但是在创建pod的时候,container的容器中没有volcano-gpu-number这一个环境变量,在里面输入nvidia-smi能够看到该节点所有的gpu,想问一下是否需要更改yaml文件? > > Hey, which version do you make use of? volcano-1.6.0