get_default_graph对应什么版本keras

get_default_graph() 是 TensorFlow 1.x 版本中的一个方法，与 Keras 无关。在 Keras 中，没有直接对应的方法。但是在 TensorFlow 2.x 中，可以使用 tf.compat.v1.get_default_graph() 来获取默认的计算图。请注意，这是为了向后兼容而提供的，因为 TensorFlow 2.x 默认使用的是即时执行模式，而不是计算图模式。

相关问题

AttributeError: module 'tensorflow.keras' has no attribute 'get_default_graph'

This error occurs when you try to access the `get_default_graph` function in `tensorflow.keras` module, which does not exist.

In TensorFlow 2.0, the default graph is now implicit and is managed automatically. You no longer need to create a graph and set it as the default graph. Therefore, you should remove any references to `get_default_graph` in your code.

Instead, you can use TensorFlow 2.0's eager execution mode, which allows you to execute TensorFlow operations immediately as they are called, without building a computational graph.

To enable eager execution, simply add the following line at the beginning of your code:

import tensorflow as tf
tf.compat.v1.enable_eager_execution()

With eager execution, you can use the `tf.function` decorator to define TensorFlow operations as functions, and then call them directly.

module 'tensorflow' has no attribute 'get_default_graph'

这个报错的意思是在使用tensorflow时，模块没有get_default_graph属性。这个问题通常出现在使用tensorflow 2.0版本时。解决这个问题有两种方法。第一种方法是使用参考实现与TensorFlow后端一起使用，但是这个实现尚未更新以支持TensorFlow 2。第二种方法是使用TensorFlow的实现，即tf.keras。这个方法适用于TensorFlow 2。如果你需要使用tf.keras，确保使用正确的导入方式：from tensorflow import keras，而不是直接使用import keras。\[2\]\[3\]
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