_norm     norm_params = {       'center': True,       'scale': True,       'reuse': reuse,       'var_scope_postfix': var_scope_postfix,       'conditional_layer': conditional_layer,     }   elif norm_type == BATCH_RENORM_TYPE:     normalizer_fn = ops.conditional_batch_norm     norm_params = {       'decay': 0.00,  # Set to be the same as renorm decay.       'center': True,       'scale': True,       'is_training': is_training,       'reuse': reuse,       'renorm': True,       'renorm_clipping': get_renorm_clipping_params(),       'var_scope_postfix': var_scope_postfix,       'conditional_layer': conditional_layer,     }   elif norm_type == BATCH_RENORM_NATIVE_TYPE:     tf.logging.log_every_n(tf.logging.INFO, 'Using tensorflow native implementation of 