终端中查看python路径和版本

wayne@wayne-GE60-2OC-2OD-2OE:~$ which python
/home/wayne/anaconda3/bin/python
wayne@wayne-GE60-2OC-2OD-2OE:~$ whereis python
python: /usr/bin/python /usr/bin/python2.7 /usr/bin/python2.7-config /usr/bin/python3.4m /usr/bin/python3.4 /etc/python /etc/python2.7 /etc/python3.4 /usr/lib/python2.7 /usr/lib/python3.4 /usr/bin/X11/python /usr/bin/X11/python2.7 /usr/bin/X11/python2.7-config /usr/bin/X11/python3.4m /usr/bin/X11/python3.4 /usr/local/lib/python2.7 /usr/local/lib/python3.4 /usr/include/python2.7 /usr/include/python3.4m /usr/share/python /usr/share/man/man1/python.1.gz
wayne@wayne-GE60-2OC-2OD-2OE:~$ python
Python 3.5.2 |Anaconda custom (64-bit)| (default, Jul  2 2016, 17:53:06) 
[GCC 4.4.7 20120313 (Red Hat 4.4.7-1)] on linux
Type "help", "copyright", "credits" or "license" for more information.

安装最新版tf

pip install --upgrade pip
pip install --upgrade tensorflow

pip install git+https://github.com/zsdonghao/tensorlayer.git

查看tf版本和路径

import tensorflow as tf
print(tf.__version__)
print(tf.__path__)

下载whl然后安装tf的坑:

wayne@wayne-GE60-2OC-2OD-2OE:~$ cd 下载
wayne@wayne-GE60-2OC-2OD-2OE:~/下载$ sudo pip install --upgrade tensorflow-1.3.0-cp35-cp35m-manylinux1_x86_64.whl
[sudo] password for wayne: 
tensorflow-1.3.0-cp35-cp35m-manylinux1_x86_64.whl is not a supported wheel on this platform.
Storing debug log for failure in /home/wayne/.pip/pip.log
wayne@wayne-GE60-2OC-2OD-2OE:~/下载$ pip install --upgrade pip
Requirement already up-to-date: pip in /home/wayne/anaconda3/lib/python3.5/site-packages
wayne@wayne-GE60-2OC-2OD-2OE:~/下载$ python
Python 3.5.2 |Anaconda custom (64-bit)| (default, Jul  2 2016, 17:53:06) 
[GCC 4.4.7 20120313 (Red Hat 4.4.7-1)] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import pip; print(pip.pep425tags.get_supported())
[('cp35', 'cp35m', 'manylinux1_x86_64'), ('cp35', 'cp35m', 'linux_x86_64'), ('cp35', 'abi3', 'manylinux1_x86_64'), ('cp35', 'abi3', 'linux_x86_64'), ('cp35', 'none', 'manylinux1_x86_64'), ('cp35', 'none', 'linux_x86_64'), ('cp34', 'abi3', 'manylinux1_x86_64'), ('cp34', 'abi3', 'linux_x86_64'), ('cp33', 'abi3', 'manylinux1_x86_64'), ('cp33', 'abi3', 'linux_x86_64'), ('cp32', 'abi3', 'manylinux1_x86_64'), ('cp32', 'abi3', 'linux_x86_64'), ('py3', 'none', 'manylinux1_x86_64'), ('py3', 'none', 'linux_x86_64'), ('cp35', 'none', 'any'), ('cp3', 'none', 'any'), ('py35', 'none', 'any'), ('py3', 'none', 'any'), ('py34', 'none', 'any'), ('py33', 'none', 'any'), ('py32', 'none', 'any'), ('py31', 'none', 'any'), ('py30', 'none', 'any')]
>>> quit
Use quit() or Ctrl-D (i.e. EOF) to exit
>>> quit()
wayne@wayne-GE60-2OC-2OD-2OE:~/下载$ python
Python 3.5.2 |Anaconda custom (64-bit)| (default, Jul  2 2016, 17:53:06) 
[GCC 4.4.7 20120313 (Red Hat 4.4.7-1)] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import platform; print(platform.platform())
Linux-4.4.0-83-generic-x86_64-with-debian-jessie-sid
>>> quit()
wayne@wayne-GE60-2OC-2OD-2OE:~/下载$ sudo pip install --upgrade tensorflow-1.3.0-cp35-cp35m-linux_x86_64.whl 
tensorflow-1.3.0-cp35-cp35m-linux_x86_64.whl is not a supported wheel on this platform.
Storing debug log for failure in /home/wayne/.pip/pip.log
wayne@wayne-GE60-2OC-2OD-2OE:~/下载$ sudo pip install --upgrade tensorflow-1.3.0-py35-any-any.whl 
tensorflow-1.3.0-py35-any-any.whl is not a supported wheel on this platform.
Storing debug log for failure in /home/wayne/.pip/pip.log
wayne@wayne-GE60-2OC-2OD-2OE:~/下载$ gedit /home/wayne/.pip/pip.log 

后台运行和关闭jupyter

wayne@wayne-GE60-2OC-2OD-2OE:~/python/kaggle/Ai_challenger/classification$ nohup jupyter notebook >/dev/null 2>&1 &
[1] 5829
wayne@wayne-GE60-2OC-2OD-2OE:~/python/kaggle/Ai_challenger/classification$ ps -ef | grep 'jupyter notebook'
wayne     5878  3835  0 16:30 pts/0    00:00:00 grep --color=auto jupyter notebook
wayne@wayne-GE60-2OC-2OD-2OE:~/python/kaggle/Ai_challenger/classification$ kill -9 5878
bash: kill: (5878) - 没有那个进程
wayne@wayne-GE60-2OC-2OD-2OE:~/python/kaggle/Ai_challenger/classification$ kill -9 5829

运行spyder

nohup spyder &
Logo

CSDN联合极客时间,共同打造面向开发者的精品内容学习社区,助力成长!

更多推荐