The example script does the following:
- Trains a simple deep neural network on MegEngine's built-in MNIST dataset.
- Creates a TensorBoardX
SummaryWriterobject to log scalars during training.
- Creates a ClearML experiment named
megengine mnist train, which is associated with the
ClearML automatically logs command line options defined with
argparse. They appear in the experiment's CONFIGURATION
tab under HYPER PARAMETERS > Args.
The example script's
train function calls TensorBoardX's
SummaryWriter.add_scalar method to report
ClearML automatically captures the data that is added to the
These scalars can be visualized in plots, which appear in the ClearML WebApp, in the experiment's SCALARS tab.
ClearML automatically captures the model logged using the
megengine.save method, and saves it as an artifact.
View saved snapshots in the experiment's ARTIFACTS tab.
To view the model details, click the model name in the ARTIFACTS page, which will open the model's info tab. Alternatively, download the model.
The model info panel contains the model details, including:
- Model URL
- Snapshot locations.
All console output during the script’s execution appears in the experiment’s CONSOLE page.