Tensorflow安装——Linux下基于pip方式


Tensorflow安装——Linux下基于pip方式

主要介绍在 Ubuntu16 中使用 pip 安装 Tensorflow 的过程。 pip 的安装:我通过安装 Anaconda3 已经安装好了 python 和 pip,有关 Anaconda3 安装过程参见:《Anaconda3 安装——Linux 下》

说明:截止 2019 年 1 月, tensorflow 还不支持 python3.7 版本。

1、安装:

说明:python 版本 3.6,pip 版本:

Tensorflow安装——Linux下基于pip方式-打不死的小强

使用 pip 安装:

pip install tensorflow

或者使用国内源 (推荐):

pip install -i https://pypi.tuna.tsinghua.edu.cn/simple/ --upgrade tensorflow

安装指定版本:

pip install tensorflow==1.12.0

2、验证

完成后验证是否安装成功,进入 python 命令行(python shell):

$ python
Tensorflow安装——Linux下基于pip方式-打不死的小强

在 Python shell 中输入以下几行简短的程序代码(并赋输出):

>>> import tensorflow as tf 
>>> tf.__version__
'1.10.0'
>>> hello = tf.constant('hello,tensorflow')
>>> sess = tf.Session()
>>> print(sess.run(hello))
b'hello,tensorflow'

则,说明 tensorflow 安装成功了。

3、可能遇到的问题

(1)若在 import 时出如下错误:

>>> import tensorflow

/usr/local/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from float to np.floating is deprecated. In future, it will be treated as np.float64 == np.dtype(float).type. from ._conv import register_converters as _register_converters

解决:

包内出错,是 h5py 包,则更新 h5py 即可,执行:

pip install --upgrade h5py
Tensorflow安装——Linux下基于pip方式-打不死的小强
(2)若在使用 matplotlib.pyplot 时,出现如下错误:

>>> import matplotlib.pyplot

Traceback (most recent call last):

  File “<stdin>”, line 1, in <module>

  File “/home/bigdata/anaconda3/lib/python3.6/site-packages/matplotlib/pyplot.py”, line 113, in <module>

    _backend_mod, new_figure_manager, draw_if_interactive, _show = pylab_setup()

  File “/home/bigdata/anaconda3/lib/python3.6/site-packages/matplotlib/backends/__init__.py”, line 60, in pylab_setup

    [backend_name], 0)

  File “/home/bigdata/anaconda3/lib/python3.6/site-packages/matplotlib/backends/backend_qt5agg.py”, line 16, in <module>

    from .backend_qt5 import (

  File “/home/bigdata/anaconda3/lib/python3.6/site-packages/matplotlib/backends/backend_qt5.py”, line 18, in <module>

    import matplotlib.backends.qt_editor.figureoptions as figureoptions

  File “/home/bigdata/anaconda3/lib/python3.6/site-packages/matplotlib/backends/qt_editor/figureoptions.py”, line 20, in <module>

    import matplotlib.backends.qt_editor.formlayout as formlayout

  File “/home/bigdata/anaconda3/lib/python3.6/site-packages/matplotlib/backends/qt_editor/formlayout.py”, line 56, in <module>

    from matplotlib.backends.qt_compat import QtGui, QtWidgets, QtCore

  File “/home/bigdata/anaconda3/lib/python3.6/site-packages/matplotlib/backends/qt_compat.py”, line 137, in <module>

    from PyQt5 import QtCore, QtGui, QtWidgets

ImportError: libGL.so.1: cannot open shared object file: No such file or directory

解决:

apt-get install –y libgl1-mesa-glx
(3)若出现如下错误:
ERROR: Cannot uninstall ‘wrapt‘. It is a distutils installed project and thus we cannot accurately determine which files belong to it which would lead to only a partial uninstall.

解决:

pip install -U --ignore-installed wrapt enum34 simplejson netaddr
(4)若在 import 时出现如下错误:

>>> import tensorflow as tf

tf.estimator package not installed.

解决:

相关包版本冲突,查看 pandas、matplotlib、numpy 等版本。通过调整版本解决,如:

pip install -U pandas==0.23.4

大功告成!!!



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