python2.7安装pytorch_PyTorch安装「建议收藏」

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：

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

>>>

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

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。