TensorBoard provides tools for visualizing and monitoring machine learning experiments. It is often used by TensorFlow, Keras and PyTorch users.
You can run a TensorBoard client in your browser from https://jupyter.nersc.gov/. In a separate notebook, choose any NERSC TensorFlow jupyter kernel, then run:
import nersc_tensorboard_helper %load_ext tensorboard
Run a tensorboard server from Jupyter by running the following command in a new cell (note that port 0 asks TensorBoard to use a port not already in use):
%tensorboard --logdir YOURLOGDIR --port 0
Calling the NERSC TB helper function will provide you with an address to connect to the TensorBoard instance: