def ffhq256()

in data.py [0:0]

• 7 lines of code
• 2 McCabe index (conditional complexity)

def ffhq256(data_root):
    trX = np.load(os.path.join(data_root, 'ffhq-256.npy'), mmap_mode='r')
    np.random.seed(5)
    tr_va_split_indices = np.random.permutation(trX.shape[0])
    train = trX[tr_va_split_indices[:-7000]]
    valid = trX[tr_va_split_indices[-7000:]]
    # we did not significantly tune hyperparameters on ffhq-256, and so simply evaluate on the test set
    return train, valid, valid