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PyTorch Lightning

The pytorch-lightning script demonstrates the integration of ClearML into code that uses PyTorch Lightning.

The example script does the following:

  • Trains a simple deep neural network on the PyTorch built-in MNIST dataset
  • Defines Argparse command line options, which are automatically captured by ClearML
  • Creates an experiment named pytorch lightning mnist example in the examples project.

Scalars​

The test loss and validation loss plots appear in the experiment's page in the ClearML web UI under SCALARS. Resource utilization plots, which are titled :monitor: machine, also appear in the SCALARS tab. All of these plots are automatically captured by ClearML.

PyTorch Lightning scalars

Hyperparameters​

ClearML automatically logs command line options defined with argparse and TensorFlow Definitions, which appear in CONFIGURATIONS > HYPERPARAMETERS > Args and TF_DEFINE respectively.

PyTorch Lightning parameters

Artifacts​

Models created by the experiment appear in the experiment's ARTIFACTS tab.

PyTorch Lightning model

Clicking on a model name takes you to the model's page, where you can view the model's details and access the model.

Console​

All other console output appears in CONSOLE.

PyTorch Lightning console