conda create -n myenv -yes python=3.8 ipykernel. Login with user 1 and created the below environments which can be seen in home directory.Ĭommands used to create the environments in Jupyter lab terminal: Did the helm upgrade, restarted all user’s servers. JupyterHub config.yaml - lifecycle hooks:Ĭp /tmp/work/custom_environment.yml /home/jovyan/ condarc and copied it to the home folder for all users. Configure Anaconda to install user environments to a folder within “$HOME” = /home/jovyan/.Ĭreated a file called. Switch back to jovyan to avoid accidental container runs as root Copy environment.yml file to /tmp/work/ directory 
RUN conda install -c conda-forge ipykernel RUN conda install -c conda-forge nb_conda_kernels Allow users to create their own conda environments for notebooks Get the jupyter hub image of minimal-notebook from Docker hub
Ensure the “nb_conda_kernels” package is installed in the root environment - have mentioned “nb_conda_kernels” in the docker file. Objective 1: We want to allow users to create conda environments using Jupyter lab UI which needs to be persisted across all user sessions meaning user 1 has created conda environment = xyz and the same environment can be accessed by user 2 when that user logs in to JH.Īs mentioned in the article below, I have followed the below steps. They both work.I have installed the Jupyter hub on the AWS EKS cluster. Then, I decided to put them for testing and experimentation. 
matplotlib and pandas are not really necessary, but I was asked if matplotlib or pandas would work in PyTorch. As of this writing (August-September 2020), the latest PyTorch version is 1.6.Īlternatively, you could create and install a conda environment a specific PyTorch version with:Ĭonda create -n my-torch python=3.6 pytorch=1.3 torchvision matplotlib pandas -c pytorch -yĬonda will resolve the dependencies and versions of the other packages automatically, or let you know your options. Note: If you you don’t specify a version, conda will install the latest PyTorch. Inside the new environment, install PyTorch and related packages with:Ĭonda install python=3.6 pytorch torchvision matplotlib pandas -c pytorch If you prefer do it manually, use this example:Ĭreate a conda environment with conda create -n my-torch python=3.7 -yĪctivate the new environment with conda activate my-torch
Manual installation of PyTorch in a conda environment
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