Usually, running a command of the form export http_proxy/https_proxy on the host is enough to set a Proxy. However, settings on the host do not take effect inside containers. Below are several configuration approaches. 1. Configure Docker’s proxy - Node level Configure this on the node that needs the Proxy.

1. About Labels In an earlier document, How to Create GitLab Labels Automatically with python-gitlab, I already explained that Labels can be used for simple project management. A team usually has more than one code repository. To reduce the cost of communication and learning, besides using a consistent toolchain, it should also reach a certain basic consensus.

1. Installing the Base Environment Install Kubernetes Reference link: Install a Kubernetes Cluster Using Kubeadm . It is worth noting that Kubeflow is not compatible with every version of Kubernetes, see system-requirements. 1 2 3 4 kubectl version Client Version: version.Info{Major:"1", Minor:"15", GitVersion:"v1.15.12", GitCommit:"e2a822d9f3c2fdb5c9bfbe64313cf9f657f0a725", GitTreeState:"clean", BuildDate:"2020-05-06T05:17:59Z", GoVersion:"go1.12.17", Compiler:"gc", Platform:"linux/amd64"} Server Version: version.

1. Multi-Stage Builds Compiling a project requires a set of specific tools, but those tools are not needed at runtime. To reduce the image size, you can build in stages. Build in the first stage, then carry the compiled output into the next stage to produce a smaller image. 1 2 3 4 5 6 7 8 9 10 11 FROM golang:1.

I wrote about this in an earlier post, How to Install a GPU Driver on CentOS. This one looks at how to run TensorFlow with Docker. 1. Check Which TensorFlow Version the Current CPU Supports On a CPU that does not support AVX instructions, running TensorFlow > 1.15 fails with Illegal instruction (core dumped).