Later to access this container in the last state you left it in run: docker ps -aĪnd retrieve the container id if you have not saved it and then run docker exec -it a06d667d8058 bash In this case a06d667d8058 is my docker container id: docker commit a06d667d8058Īnd you can exit from the container. Look up your docker container id by running docker ps -a and then run the following.
#Docker for mac tenserflow install
Install vi apt-get update apt-get install vim Install pip3 apt-get install python3-setuptools apt-get install python3-setuptools Save state of your docker containerĪnytime you do any changes make sure you save the state of your docker container. Now this image does not come with many tools and utilities installed and I had to set them up myself. When you create any files if you do it in this folder you can retrieve them from your host machine. This also mounts /Users//tensorflow to /tensorflow folder in the docker image. docker run -it -v /Users//tensorflow:/tensorflow gcr.io/tensorflow/tensorflow bash You can change this accordingly for other operating systems. Select the checkbox in the left column next to the two tensorflow package names. Type ‘tensorflow’ in the Search Packages text input field and hit Return. Select ‘Not Installed’ from the drop-down menu at the top of the right window pane. I am demonstrating this on my mack so you will see the path. Tensorflow packages can now be installed into the new environment.
To start your own container of tensor flow Start Docker ImageĬreate a folder called tensorflow to store your files and use it to exchange files with your docker image.
Now lets start looking at the docker commands for tensorflow To remove all the docker images and clean up docker rm $(docker images -q) To check what images you currently have docker images If you want to remove all the previous docker images docker rm $(docker ps -a -q) The following command shows all containers (docker ps shows just running containers) docker ps –a I find these very useful to manage my containers quickly to get started with the next project I am working on.Ĭheck your docker processes to find the images. And follow the instructions on that page Install Tensorflowīefore we do anything if you have done any test starts of various docker images you may want to clean up to help you manage your images.
0 kommentar(er)
