def run_test_eval()

in train.py [0:0]


def run_test_eval(H, ema_vae, data_test, preprocess_fn, logprint):
    print('evaluating')
    stats = evaluate(H, ema_vae, data_test, preprocess_fn)
    print('test results')
    for k in stats:
        print(k, stats[k])
    logprint(type='test_loss', **stats)