在运行此代码以训练 Deep Q 网络时，我收到“ModifiedTensorBoard"对象没有属性“_write_logs"的错误 [英] I'm getting an error of 'ModifiedTensorBoard' object has no attribute '_write_logs' while running this code to train a Deep Q Network

问题描述

我正在运行以下代码:

class ModifiedTensorBoard(TensorBoard):

    def __init__(self, **kwargs):
        super().__init__(**kwargs)
        self.step = 1
        self.writer = tf.summary.create_file_writer(self.log_dir)

    def set_model(self, model):
        pass

    def on_epoch_end(self, epoch, logs=None):
        self.update_stats(**logs)

    def on_batch_end(self, batch, logs=None):
        pass

    def on_train_end(self, _):
        pass

    def update_stats(self, **stats):
        self._write_logs(stats, self.step)

得到错误:

    232     def update_stats(self, **stats):
--> 233         self._write_logs(stats, self.step)
    234 
    235 

AttributeError: 'ModifiedTensorBoard' object has no attribute '_write_logs'

有人可以建议如何克服这个问题吗?谢谢.

Can someone suggest how to overcome this problem? Thanks.

推荐答案

创建一个_write_logs"功能如下:

create a "_write_logs" function as following:

def update_stats(self, **stats):
    self._write_logs(stats, self.step)

def _write_logs(self, logs, index):
    with self.writer.as_default():
        for name, value in logs.items():
            tf.summary.scalar(name, value, step=index)
            self.step += 1
            self.writer.flush()

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