Track and Visualize Experiments

Track and Visualize Experiments

More details are here: Track and Visualize Experiments

Track audio and other artifacts

To track other artifacts, such as histograms or model topology graphs first select one of the many loggers supported by Lightning

from lightning.pytorch import loggers as pl_loggers

tensorboard = pl_loggers.TensorBoardLogger(save_dir="")
trainer = Trainer(logger=tensorboard)

then access the logger’s API directly

def training_step(self):
    tensorboard = self.logger.experiment
    tensorboard.add_image()
    tensorboard.add_histogram(...)
    tensorboard.add_figure(...)

More details are here: Track and Visualize Experiments

Libs:

mlflow

comet