Metrics

For metrics we recommend using Tensorboard to log metrics directly to cloud storage along side your model. As the model trains you can use launch a tensorboard instance locally to monitor your model progress:

$ tensorboard --log-dir provider://path/to/logs

See the Trainer App Example for an example on how to use the PyTorch Lightning TensorboardLogger.

A TorchX Tensorboard builtin component is being tracked via https://github.com/pytorch/torchx/issues/128.

Reference

• PyTorch Tensorboard Tutorial https://pytorch.org/tutorials/intermediate/tensorboard_tutorial.html

• PyTorch Lightning Loggers https://pytorch-lightning.readthedocs.io/en/stable/extensions/logging.html