The fastai_with_tensorboard.py example demonstrates the integration of ClearML into code that uses fastai and TensorBoard.
The example code does the following:
- Trains a simple deep neural network on the fastai built-in MNIST dataset (see the fast.ai documentation).
- Uses the fastai
LearnerTensorboardWritercallback, and ClearML automatically logs TensorBoard through the callback.
- During script execution, creates an experiment named
fastai with tensorboard callback, which is associated with the
ClearML automatically logs the histogram output to TensorBoard. They appear in RESULTS > PLOTS.
Histograms output to TensorBoard. They appear in RESULTS > PLOTS.
Text printed to the console for training progress, as well as all other console output, appear in RESULTS > CONSOLE.