tensorflow与numpy的版本兼容性问题的解决

 更新时间:2021年01月08日 10:27:08   作者:极客字节  
这篇文章主要介绍了tensorflow与numpy的版本兼容性问题的解决,文中通过示例代码介绍的非常详细,对大家的学习或者工作具有一定的参考学习价值,需要的朋友们下面随着小编来一起学习学习吧

在Python交互式窗口导入tensorflow出现了下面的错误:

root@ubuntu:~# python3 
Python 3.6.8 (default, Oct 7 2019, 12:59:55) 
[GCC 8.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf;
/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
 _np_qint8 = np.dtype([("qint8", np.int8, 1)])
/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
 _np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
 _np_qint16 = np.dtype([("qint16", np.int16, 1)])
/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
 _np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
 _np_qint32 = np.dtype([("qint32", np.int32, 1)])
/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
 np_resource = np.dtype([("resource", np.ubyte, 1)])
/usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
 _np_qint8 = np.dtype([("qint8", np.int8, 1)])
/usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
 _np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
 _np_qint16 = np.dtype([("qint16", np.int16, 1)])
/usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
 _np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
 _np_qint32 = np.dtype([("qint32", np.int32, 1)])
/usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
 np_resource = np.dtype([("resource", np.ubyte, 1)])

我的错误原因是numpy的版本较高造成的,换成1.14.0版本后解决了

出错时的Numpy版本

root@ubuntu:~# pip3 show numpy
Name: numpy
Version: 1.17.3
Summary: NumPy is the fundamental package for array computing with Python.
Home-page: https://www.numpy.org
Author: Travis E. Oliphant et al.
Author-email: None
License: BSD
Location: /usr/local/lib/python3.6/dist-packages
Requires: 

安装1.14.0的Numpy版本

root@ubuntu:~# pip3 install numpy==1.14.0
Collecting numpy==1.14.0
 Downloading https://files.pythonhosted.org/packages/dc/ac/5c270dffb864f23315e9c1f9e0a0b300c797b3c170666c031c4de42aacae/numpy-1.14.0-cp36-cp36m-manylinux1_x86_64.whl (17.2MB)
  100% |████████████████████████████████| 17.2MB 75kB/s 
Installing collected packages: numpy
Successfully installed numpy-1.14.0
root@ubuntu:~# python3
Python 3.6.8 (default, Oct 7 2019, 12:59:55) 
[GCC 8.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf;
>>> tf.__version__
'1.14.0'
>>>

到此这篇关于tensorflow与numpy的版本兼容性问题的解决的文章就介绍到这了,更多相关tensorflow与numpy版本兼容性内容请搜索脚本之家以前的文章或继续浏览下面的相关文章希望大家以后多多支持脚本之家!

相关文章

  • 深入了解Python中的变量类型标注

    深入了解Python中的变量类型标注

    变量类型注解是用来对变量和函数的参数返回值类型做注解,让调用方减少类型方面的错误,也可以提高代码的可读性和易用性。本文就来和大家聊聊Python中的变量类型标注吧
    2023-04-04
  • python的变量和简单数字类型详解

    python的变量和简单数字类型详解

    这篇文章给大家详细介绍了python的变量和简单数字类型,文中介绍的很详细,相信对大家的理解和学习很有帮助,有需要的朋友们可以参考借鉴
    2021-09-09
  • 浅谈Python数据处理csv的应用小结

    浅谈Python数据处理csv的应用小结

    这篇文章主要介绍了Python数据处理csv的简单应用,本文通过实例代码给大家介绍的非常详细,对大家的学习或工作具有一定的参考借鉴价值,需要的朋友可以参考下
    2022-01-01
  • Python内建模块collections实现特殊容器数据类型

    Python内建模块collections实现特殊容器数据类型

    collections模块是Python的内建模块之一,它实现了特殊的容器数据类型,提供了Python内建的数据类型dict、list、set、和tuple的高效替代选择
    2023-06-06
  • python 爬取免费简历模板网站的示例

    python 爬取免费简历模板网站的示例

    这篇文章主要介绍了python 爬取免费简历模板网站的示例,帮助大家更好的理解和使用python 爬虫,感兴趣的朋友可以了解下
    2020-09-09
  • Django之腾讯云短信的实现

    Django之腾讯云短信的实现

    这篇文章主要介绍了Django之腾讯云短信的实现,文中通过示例代码介绍的非常详细,对大家的学习或者工作具有一定的参考学习价值,需要的朋友们下面随着小编来一起学习学习吧
    2020-06-06
  • Python中字符串的格式化方法小结

    Python中字符串的格式化方法小结

    这篇文章主要介绍了Python中字符串的格式化方法小结,提到了针对Python2.x与3.x版本相异情况下的不同技巧,需要的朋友可以参考下
    2016-05-05
  • Python实现通讯录功能

    Python实现通讯录功能

    这篇文章主要为大家详细介绍了Python实现通讯录功能,文中示例代码介绍的非常详细,具有一定的参考价值,感兴趣的小伙伴们可以参考一下
    2018-02-02
  • Python中一些深不见底的“坑”

    Python中一些深不见底的“坑”

    这篇文章主要给大家介绍了关于Python中一些深不见底的“坑”,文中通过示例代码介绍的非常详细,对大家学习或者使用Python具有一定的参考学习价值,需要的朋友们下面来一起学习学习吧
    2019-06-06
  • python进程池Pool中apply方法与apply_async方法的区别

    python进程池Pool中apply方法与apply_async方法的区别

    这篇文章主要介绍了python进程池Pool中apply方法与apply_async方法的区别及说明,具有很好的参考价值,希望对大家有所帮助,如有错误或未考虑完全的地方,望不吝赐教
    2024-02-02

最新评论