keras-bert,加载预训练模型报错 Layer model_1 expects 3 inputs, but it received 2 input tensors

问题：在使用keras-bert 导入预训练的模型时， 报错Layer model_1 expects 3 inputs, but it received 2 input tensors

导入代码：
bert_model = load_trained_model_from_checkpoint(config_path, checkpoint_path, training=True,output_layer_num=7,trainable=True,seq_len=Config.max_seq_len)  # 加载预训练模型

具体报错：
Layer model_1 expects 3 inputs, but it received 2 input tensors. Input received: [<tf.Tensor 'input_1:0' shape=(?, 100) dtype=float32>, <tf.Tensor 'input_2:0' shape=(?, 100) dtype=float32>]

解决方式：去掉参数 training=True
具体：bert_model = load_trained_model_from_checkpoint(config_path, checkpoint_path, output_layer_num=7, trainable=True, seq_len=Config.max_seq_len)