Window上安装Tensorflow
2017-05-21 19:42
190 查看
Anaconda
Anaconda是由Python提供支持的领先的开放数据科学平台。 Anaconda的开源版本是Python和R的高性能分发版本,包括超过100个用于数据科学的最流行的Python,R和Scala软件包。操作说明:
1. Managing conda
conda --version conda update conda
2. Managing environments
Create and activate an environment
conda create --name snowflakes biopython
This will create a new environment named /envs/snowflakes with the program Biopython.
Activate the new environment:
Linux,OS X:source activate snowflakes
Windows:
activate snowflakes
Create a second environment
conda create --name bunnies python=3 astroid babel
This will create a second new environment named /envs/bunnies with Python 3 and Astroid and Babel installed.
List all environments
conda info --envs
Switch to another environment (activate/deactivate)
Linux,OS X:source activate bunnies
Windows:
activate bunnies
3. Managing Python
Check Python versions
conda search --full-name python
Install a different version of Python
conda create --name snakes python=3
Linux,OS X:
source activate snowflakes
Windows:
activate snowflakes
4. Managing packages
View a list of packages and versions installed in an environment
conda list
Search for a package
conda search beautifulsoup4
Install a new package
conda install --name bunnies beautifulsoup4
Install a package from Anaconda.org
conda install --channel https://conda.anaconda.org/pandas bottleneck
Install a package with pip
pip install see
安装tensorflow
目前tensorflow对python3.5支持友好1. 创建名为tensorflow的环境
conda create --name tensorflow python=3.5
![](https://oscdn.geek-share.com/Uploads/Images/Content/201910/27/add849f9c48c40372c0e8aae4ff08c57.png)
2. 激活环境
activate tensorflow
3. 安装tensorflow gpu版本包
-- CPU版本 pip install tensorflow -- GPU版本 pip install tensorflow-gpu
安装CUDA
不安装CUDA Driver会出现如下错误:ImportError: No module named '_pywrap_tensorflow_internal'
安装CUDA Tools
![](https://oscdn.geek-share.com/Uploads/Images/Content/201910/27/e138c948b4eb90c4c3f09735314534c4.png)
安装cuDNN
注意:需要下载5.1版本,6.0版本不可用![](https://oscdn.geek-share.com/Uploads/Images/Content/201910/27/fdfc34cca27b26ff43c848f5f3ae71af.png)
![](https://oscdn.geek-share.com/Uploads/Images/Content/201910/27/0b733e88e257ae58c828bfa1f722a6d7.png)
Cudnn解压后将bin,include,lib三个文件夹里面的内容覆盖至Cuda安装目录下,默认路径为C:\Program Files\NVIDIA GPUComputing Toolkit\CUDA\v8.0(记住不是替换,是把Cudnn文件里的.dll文件添加到Cuda里面)
接下来,检验Cuda是否安装成功:
进入cuda路径,默认C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\extras\demo_suite执行里面的deviceQuery.exe文件
![](https://oscdn.geek-share.com/Uploads/Images/Content/201910/27/1598347a271358c7e301f217693d9580.png)
No module named ‘matplotlib’
conda install matplotlib
![](https://oscdn.geek-share.com/Uploads/Images/Content/201910/27/76d03fb3ff52f9b2cb35148c23b48150.png)
Anaconda上查看
![](https://oscdn.geek-share.com/Uploads/Images/Content/201910/27/f3088f651bb88e62908f87b95a1fa0d6.png)
第一个tensorflow程序
import tensorflow as tf import numpy as np import matplotlib.pyplot as plt %matplotlib inline a = tf.random_normal([2, 20]) sess = tf.Session() out = sess.run(a) x, y = out plt.scatter(x,y) plt.show()
![](https://oscdn.geek-share.com/Uploads/Images/Content/201910/27/c54b4691eeb9eda67b30c3878a482b7b.png)
相关文章推荐
- window下基于anaconda安装tensorflow
- window10下安装TensorFlow
- Tensorflow+cuda+cudnn+window+Python之window下安装TensorFlow
- window下Anaconda安装tensorflow、keras
- 安装tensorflow(window
- window安装tensorflow
- window系统下TensorFlow安装
- window下安装tensorflow
- 在Window(操作系统64位)下使用Anaconda安装TensorFlow
- 神经网络、TensorFlow简单介绍及TensorFlow在window下的安装
- Window上安装TensorFlow的方法
- Window10安装TensorFlow(GPU)与可行性测试
- window10下安装Theano-GPU与Tensorflow-GPU(提供cuda8.0,cudnn6.0下载)
- window上安装tensorflow
- window 安装 tensorflow
- Window下安装TensorFlow(CPU版)
- Window下安装GPU版Tensorflow
- tensorflow--WINDOW下CPU版本的安装
- window傻瓜式安装tensorflow