Basic usage

In order to run fast ENERGIZE, you need to run the energize module as a script:

python3 -u -m energize.main \
    -d <dataset_name> \
    -c <config_path> \
    -g <grammar_path> \
    -r <#run> \
    --gpu-enabled

Example:

python3 -u -m energize.main \
    -d mnist \
    -c example/example_config.json \
    -g example/energize.grammar \
    -r 0 \
    --gpu-enabled

In case several seeds are needed to be run, that can be done with Bash:

bash batch.sh example/example_config.json example/energize.grammar fashion-mnist 5

Externally to the code itself, two main files are required to execute any run.

1. A grammar that shapes the search space by setting the possibilities within each macro block.

2. A configuration file that sets miscellaneous parameters that affect the outcome of the evolutionary run. These can se related with the evolutionary process itself, or the networks that are generated.

Command-line flags

• -c/--config-path: Sets the path to the config file to be used;

• -d/--dataset-name: Name of the dataset to be used. At the moment, mnist, fashion-mnist, cifar10 and cifar100 are supported.

• -g/--grammar-path: Sets the path to the grammar to be used;

• -r/--run: Identifies the run id and seed to be used;

• --gpu-enabled: Enables GPU processing.