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SPANet Options

The SPANet options can be provided either programmatically or using a .json file.

Programmatically Selecting Options

The Options class in spanet/options.py defines all of the valid options used during training and evaluation. You can quickly experiment with different options by simply modifying this file or providing it as part of a different script.

Options Files

spanet/options.py defines the default parameters which are fed to all networks. However, you often want to experiment with many different options without having to always modify the codebase.

The other method of providing the options is by using a .json file and a command line argument to train.py. An example of such a file is provided in options_files/ttbar_example.json.

The .json options file will override all of the defaults specified in spanet/options.py for the given training run. You can provide train.py an options file via the command line argument

python train.py -of OPTIONS_FILE

You can also programmatically load in a .json file with Options.load(filepath) from spanet/options.py if you are running your own training script.

Whenever a network is training, it will always create a copy of its current options in the checkpoint directory. The default output directories are of the form spanet_output/version_*.

Command Line Arguments

train.py also allows you to temporarily override certain options using command line arguments. You can view a complete list of these options using python train.py --help. Some common ones include:

  • --gpus N to select the number of GPUS to train on.
  • --batch_size N to set the training batch_size.
  • --epochs N to set the number of training epochs.
  • --log_dir DIR to set the output directory to something different from the current directory.
  • --name NAME to set the log directory name to something differnt than lightning_logs.