tensorflow与numpy的版本兼容性问题的解决,版本,站长站,错误,文章,较高

tensorflow与numpy的版本兼容性问题的解决

易采站长站，站长之家为您整理了tensorflow与numpy的版本兼容性问题的解决的相关内容。

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易采站长站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易采站长站！以上就是关于对tensorflow与numpy的版本兼容性问题的解决的详细介绍。欢迎大家对tensorflow与numpy的版本兼容性问题的解决内容提出宝贵意见