This is the code that was used in "Are GANs Created Equal? A Large-Scale Study" paper (https://arxiv.org/abs/1711.10337).

To install, run:

python -m pip install -e . --user

After installing, make sure to run

compare_gan_prepare_datasets.sh

It will download all the necessary datasets and frozen TF graphs. By default it will store them in /tmp/datasets.

compare_gan has two binaries:

• generate_tasks - that creates a list of files with parameters to execute
• run_one_task - that executes a given task, both training and evaluation, and stores results in the CSV file.

# Create tasks for experiment "test" in directory /tmp/results. See "src/generate_tasks_lib.py" to see other possible experiments.
compare_gan_generate_tasks --workdir=/tmp/results --experiment=test

# Run task 0 (training and eval)
compare_gan_run_one_task --workdir=/tmp/results --task_num=0 --dataset_root=/tmp/datasets

# Run task 1 (training and eval)
compare_gan_run_one_task --workdir=/tmp/results --task_num=1 --dataset_root=/tmp/datasets

Results (FID and inception scores for checkpoints) will be stored in /tmp/results/TASK_NUM/scores.csv.