在 Keras 上使用回调 Tensorboard 时出现 AttributeError:'Model'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

我使用 Keras 的函数式 API 构建了一个模型，当我将 tensorboard 实例添加到我的 model.fit() 函数中的回调时，它抛出一个错误:"AttributeError: 'Model' object没有属性 '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 类确实没有属性 run_eagerly，但在 Keras 文档中，它说它可以作为参数传递给 model.compile() 函数.这返回

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?

张量流: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

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

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

经过两次小改动后，我的张量板现在可以运行了.

After two minor changes my tensorboard is running now.

1. 确保按如下方式导入张量板:从 keras.callbacks 导入 TensorBoard

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

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