HOWTO: Use a Conda Environment With Jupyter

Before Conda environments may be used by Jupyter Notebooks they must be installed so that Jupyter knows about them. Older versions of Conda automatically installed a Jupyter kernel for themselves, that installation process now must be performed manually by the user.

To perform the installation the user should load their prefered version of Python, activate their Conda environment and run the following command:


 PyTorch is a Python package that provides Tensor computation (like NumPy) with strong GPU acceleration and     Deep neural networks built on a tape-based autograd system.

Quote from Pytorch Github documentation

Availability and Restrictions


The following version of Pytorch is available on OSC clusters:


Rolling Reboot

We will have rolling reboots of all three clusters (Owens, Ruby, and Pitzer) including login and compute nodes, starting from 9:30 AM Wednesday, June 05, 2019. The rolling reboots will address the caching problems on the file systems. The rolling reboots won't affect any running jobs, but users may experience longer queue wait time than usual on the cluster. We apologize for any inconvenience this may cause you. Please contact oschelp@osc.edu if you have any questions.