def METHOD_NAME():
    register_all_modules()
    config = get_recognizer_cfg('tpn/tpn-slowonly_imagenet-pretrained-r50_'
                                '8xb8-8x8x1-150e_kinetics400-rgb.py')
    config.model['backbone']['pretrained2d'] = False
    config.model['backbone']['pretrained'] = None
    input_shape = (1, 3, 4, 48, 48)  # M C T H W
    loss_vars, _ = train_test_step(config, input_shape=input_shape)
    assert 'loss_aux' in loss_vars
    assert loss_vars['loss_cls'] + loss_vars['loss_aux'] == loss_vars['loss']