标签归档:TensorFlow安装

从零开始搭建深度学习服务器: 深度学习工具安装(TensorFlow + PyTorch + Torch)

Deep Learning Specialization on Coursera

这个系列写了好几篇文章,这是相关文章的索引,仅供参考:

以下是相关深度学习工具包的安装,包括Tensorflow, PyTorch, Torch等:

1. TensorFlow:

首先安装libcupti-dev

sudo apt-get install libcupti-dev

然后用 virtualenv 方式安装 Tensorflow(当前是1.4版本)

sudo apt-get install python-pip python-dev python-virtualenv 
mkdir tensorflow
cd tensorflow
virtualenv --system-site-packages venv
source venv/bin/activate
pip install --upgrade tensorflow-gpu

测试GPU:

Python 2.7.12 (default, Nov 19 2016, 06:48:10) 
[GCC 5.4.0 20160609] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
>>> sess = tf.Session(config=tf.ConfigProto(log_device_placement=True))
...
2017-10-24 20:37:24.290049: I tensorflow/core/common_runtime/gpu/gpu_device.cc:955] Found device 0 with properties: 
name: GeForce GTX 1080 Ti
major: 6 minor: 1 memoryClockRate (GHz) 1.6575
pciBusID 0000:01:00.0
Total memory: 10.91GiB
Free memory: 10.52GiB
...
2017-10-24 20:37:24.387363: I tensorflow/core/common_runtime/gpu/gpu_device.cc:955] Found device 1 with properties: 
name: GeForce GTX 1080 Ti
major: 6 minor: 1 memoryClockRate (GHz) 1.6575
pciBusID 0000:02:00.0
Total memory: 10.91GiB
Free memory: 10.76GiB
2017-10-24 20:37:24.388168: I tensorflow/core/common_runtime/gpu/gpu_device.cc:976] DMA: 0 1 
2017-10-24 20:37:24.388176: I tensorflow/core/common_runtime/gpu/gpu_device.cc:986] 0:   Y Y 
2017-10-24 20:37:24.388179: I tensorflow/core/common_runtime/gpu/gpu_device.cc:986] 1:   Y Y 
2017-10-24 20:37:24.388186: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1045] Creating TensorFlow device (/gpu:0) -> (device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:01:00.0)
2017-10-24 20:37:24.388189: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1045] Creating TensorFlow device (/gpu:1) -> (device: 1, name: GeForce GTX 1080 Ti, pci bus id: 0000:02:00.0)
Device mapping:
/job:localhost/replica:0/task:0/gpu:0 -> device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:01:00.0
/job:localhost/replica:0/task:0/gpu:1 -> device: 1, name: GeForce GTX 1080 Ti, pci bus id: 0000:02:00.0
2017-10-24 20:37:24.449867: I tensorflow/core/common_runtime/direct_session.cc:300] Device mapping:
/job:localhost/replica:0/task:0/gpu:0 -> device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:01:00.0
/job:localhost/replica:0/task:0/gpu:1 -> device: 1, name: GeForce GTX 1080 Ti, pci bus id: 0000:02:00.0
>>> 

2. PyTorch:

首先在PyTorch的官网下载对应的pip安装文件:

然后用virtualenv的方式安装,非常方便:

mkdir pytorch
cd pytorch/
virtualenv venv
source venv/bin/activate
pip install /path/to/torch-0.2.0.post3-cp27-cp27mu-manylinux1_x86_64.whl 
pip install torchvision 

3. Torch

首先按照Torch官方的方法进行安装:http://torch.ch/docs/getting-started.html

git clone https://github.com/torch/distro.git ~/torch --recursive
cd ~/torch; bash install-deps;
./install.sh

如无意外,可以顺利安装,如果遇到了如下两个问题,可按下述方法修改:

1) 执行./install.sh时出现Moses>=1.错误

Missing dependencies for nn:moses >= 1.,有时候执行./install.sh时,会出现这个问题。

用这个方法解决:

sudo apt install luarocks
sudo luarocks install moses

2) install.sh 过程中提示“error -- unsupported GNU version! gcc versions later than 5 are not supported!”

ubuntu17.04自带gcc 6.x 版本,所以降级安装gcc 4.9版本解决问题:

sudo apt-get install g++-4.9  
sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-4.9 20  
sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-4.9 20 

成功执行安装脚本后后提示:

Do you want to automatically prepend the Torch install location
to PATH and LD_LIBRARY_PATH in your /home/yourpath/.bashrc? (yes/no)
[yes] >>>
yes

安装脚本会自动将torch的安装路径写入到 .bashrc里,然后输入 th试试:

如果你想用Lua5.2替代LuaJIT的方式安装Torch(If you want to install torch with Lua 5.2 instead of LuaJIT, simply run),可按如下方式安装:

git clone https://github.com/torch/distro.git torch --recursive
cd torch

# clean old torch installation
./clean.sh

在 ~/.bashrec中设置lua的环境:
TORCH_LUA_VERSION=LUA52
并执行 source ~/.bashrc, 然后运行:

./install.sh

遇到第一个问题:

cmake: not found

安装cmake解决:
sudo apt-get install cmake

第二个问题:
readline.c:8:31: fatal error: readline/readline.h: 没有那个文件或目录

安装libreadine-dev解决:
sudo apt-get install libreadline-dev

第三个问题:安装过程依然提示“error -- unsupported GNU version! gcc versions later than 5 are not supported!”

ubuntu17.04自带gcc 6.x 版本,所以降级安装gcc 4.9版本解决问题:

sudo apt-get install g++-4.9
sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-4.9 20
sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-4.9 20

安装完毕依然会提示:

Not updating your shell profile.
You might want to
add the following lines to your shell profile:

. /home/textminer/torch/torch/install/bin/torch-activate

在 ~/.profile 文件末尾加上这行 ". /home/textminer/torch/torch/install/bin/torch-activate " 并执行 source ~/.profile,然后输入 th试试。

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