Konnase Lee
Konnase Lee
No, maybe there is no good solution to endure network bandwidth used up
> @konnase are you running inside docker? Yes, docker on Kubernetes
> Try running the docker containers with `--net=host` mode. Thanks, I will try it latter
相同的问题，环境ubuntu17.04。使用菜单导入就立马卡死，请高人解决呀
@Biggulu root用户导入，再将配置文件cp到普通用户目录下的方法可行！
if we don't call cudaDeviceReset() for each GPU, the process will not free it's memory on each GPU. As can be seen in [initialization](https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#initialization)
> 没找到 我就有换回去了 换回到哪个版本了？
好像还是有问题
> May I ask which PyTorch operator version you are using? v0.7.0
I made a mistake. The label `app: pytorch-operator` added by `kustomize` is defined in the `commonLabels` field of `kustomization.yaml`. Sorry to mislead all.