import tensorflow as tf

    normalizers_copy_parameters = normalizers_copy.parameters(trainable=False, non_trainable=True)
    copy_normalizers = tf.group(*[tf.assign(w_v, p_v) for w_v, p_v in zip(normalizers_copy_parameters, normalizers_parameters)])
