【AttributeError: ‘XXX‘ object has no attribute ‘

参考链接：https://www.jianshu.com/p/9da54361d289

环境：

硬件：gpu（nvidia GeForce rtx 2060）
软件：keras=2.3.1
	  tensorflow=2.1.0
	  tensorboard=2.1.0
	  CUDA=10.0
	  cudnn=7.4
	  CUDA Driver = CUDART, CUDA Driver Version = 11.6, CUDA Runtime Version = 10.0, NumDevs = 1, Device0 = NVIDIA GeForce RTX 2060
	  numpy=1.16.5（这个版本有警告，估计还是不太匹配）

错误原因：keras和tensorflow及tensorboard之间的版本不匹配，模型用的是keras的，且keras的Backend使用的是tensorflow，而tensorflow有些版本里面自带的tensorflow_keras的一些属性和keras库的不完全统一。

三者之间版本匹配可查看：https://mckayward.github.io/floyd-docs/guides/environments/

解决方法一：改到匹配版本，有点难。

解决方法二：修改报错的callback.py文件，添加判断是否有’_is_graph_network’属性。我的在D:\XXXXXX\Install\anaconda3\envs\430gpu\Lib\site-packages\tensorflow_core\python\keras\callbacks.py

with context.eager_mode():
      self._close_writers()
      if self.write_graph:
        with self._get_writer(self._train_run_name).as_default():
          with summary_ops_v2.always_record_summaries():
            if not model.run_eagerly:
              summary_ops_v2.graph(K.get_graph(), step=0)

            # summary_writable = (
            #     self.model._is_graph_network or  # pylint: disable=protected-access
            #     self.model.__class__.__name__ == 'Sequential')  # pylint: disable=protected-access
            if hasattr(self.model, '_is_graph_network'):
              summary_writable = (
                  self.model._is_graph_network or  # pylint: disable=protected-access
                  self.model.__class__.__name__ == 'Sequential')  # pylint: disable=protected-access
            else:
              summary_writable = self.model.__class__.__name__ == 'Sequential'
            if summary_writable:
              summary_ops_v2.keras_model('keras', self.model, step=0)