在Keras上使用回调Tensorboard时发生AttributeError:“模型"对象没有属性"run_eagerly" [英] AttributeError when using callback Tensorboard on Keras: 'Model' object has no attribute 'run_eagerly'

问题描述

我已经使用Keras的功能API构建了一个模型，当我在我的model.fit()函数的回调中添加tensorboard实例时，它会引发错误:"AttributeError: 'Model' object has no attribute 'run_eagerly'"

I have built a model using the functional API from Keras, and when I am adding the tensorboard instance to my callbacks in my model.fit() function, it throws an Error: "AttributeError: 'Model' object has no attribute 'run_eagerly'"

Model类确实没有run_eagerly属性，但是在Keras文档中，它说可以将其作为参数传递给model.compile()函数.这将返回

The Model class does indeed not have an attribute run_eagerly, but in the Keras doc, it says that it can be passed as parameter to the model.compile() function. This returns

"ValueError: ('Some keys in session_kwargs are not supported at this time: %s', dict_keys(['run_eagerly']))"

这是否意味着我没有合适的Tensorflow/Keras版本?

Does this mean I don't have a suitable version of Tensorflow/Keras?

Tensorflow:1.14.0

Tensorflow: 1.14.0

Keras:2.2.4-tf

Keras: 2.2.4-tf

model = Model(inputs=[input_ant1, input_ant2], outputs=main_output)

tensorboard = TensorBoard(log_dir='.logs/'.format(time()))

[...]

model.fit([input1, input2],[labels], epochs=10, callbacks=[tensorboard])

推荐答案

我遇到了相同的错误:AttributeError: 'Model' object has no attribute 'run_eagerly'

I got the same error : AttributeError: 'Model' object has no attribute 'run_eagerly'

在进行了两次较小的更改后，我的张量板现在正在运行.

After two minor changes my tensorboard is running now.

1. 确保按以下方式导入张量板: from keras.callbacks import TensorBoard

1. make sure you import tensorboard as follows: from keras.callbacks import TensorBoard

像这样更改日志目录: tensorboard = TensorBoard(log_dir="logs")

change the log dir like this: tensorboard = TensorBoard(log_dir="logs")

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