导入keras报错：module 'tensorflow.python.keras.backend' has no attribute 'get_graph'

最新推荐文章于 2022-03-21 17:18:28 发布

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最新推荐文章于 2022-03-21 17:18:28 发布

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本文链接：https://blog.youkuaiyun.com/sinat_22510827/article/details/104855761

这篇博客主要讨论了在导入Keras时遇到的'get_graph'属性缺失错误，原因是Tensorflow版本与Keras版本不匹配。文章提到了FloydHub支持的Deep Learning环境，这些环境中预装了不同版本的Python、Keras和Tensorflow。在没有指定环境时，默认使用Python 3.6、Keras 2.2.0和Tensorflow 1.9.0的环境，并提供了如何选择CPU或GPU运行Python2 Tensorflow作业的命令。

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主要是因为tensorflow与keras的版本不兼容

import tensorflow

print(tensorflow.__version__)

Environments¶

Below is the list of Deep Learning environments supported by FloydHub. Any of these can be specified in the floyd run command using the --env option.

If no --env is provided, it uses the tensorflow-1.9 image by default, which comes with Python 3.6, Keras 2.2.0 and TensorFlow 1.9.0 pre-installed.

Framework	Env name (--env parameter)	Description	Docker Image	Packages and Nvidia Settings
TensorFlow 2.1	tensorflow-2.1	TensorFlow 2.1.0 + Keras 2.3.1 on Python 3.6.	floydhub/tensorflow	TensorFlow-2.1
TensorFlow 2.0	tensorflow-2.0	TensorFlow 2.0.0 + Keras 2.3.1 on Python 3.6.	floydhub/tensorflow	TensorFlow-2.0
TensorFlow 1.15	tensorflow-1.15	TensorFlow 1.15.0 + Keras 2.3.1 on Python 3.6.	floydhub/tensorflow	TensorFlow-1.15
TensorFlow 1.14	tensorflow-1.14	TensorFlow 1.14.0 + Keras 2.2.5 on Python 3.6.	floydhub/tensorflow	TensorFlow-1.14
TensorFlow 1.13	tensorflow-1.13	TensorFlow 1.13.0 + Keras 2.2.4 on Python 3.6.	floydhub/tensorflow	TensorFlow-1.13
TensorFlow 1.12	tensorflow-1.12	TensorFlow 1.12.0 + Keras 2.2.4 on Python 3.6.	floydhub/tensorflow	TensorFlow-1.12
	tensorflow-1.12:py2	TensorFlow 1.12.0 + Keras 2.2.4 on Python 2.	floydhub/tensorflow
TensorFlow 1.11	tensorflow-1.11	TensorFlow 1.11.0 + Keras 2.2.4 on Python 3.6.	floydhub/tensorflow