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)