可能由于pytorch官网在国外服务器的原因，下图中的Package Manage;Python; CUDA选择老半天也没反应过来，且Run this command后的内容迟迟没有显示出来。烦躁。已将各版本Run this command后的内容总结好。
Linux Ubuntu系统如何安装pytorch呢？只需两步。
1.找到对应的版本后，复制Run this command后面的内容，如下图：
2.打开终端，粘贴。
下面将Linux Ubuntu 系统下pytorch的安装指令总结：
pytorch安装命令
OS :Linux,
Package Manager :conda,
Python :2.7,
CUDA :7.5
Run this command: conda install pytorch torchvision cuda75 -c pytorch
CUDA :8
Run this command: conda install pytorch torchvision -c pytorch
CUDA :9
Run this command: conda install pytorch torchvision cuda90 -c pytorch
CUDA :NONE
Run this command: conda install pytorch torchvision -c pytorch
OS :Linux,
Package Manager :conda,
Python :3.5,
CUDA :7.5
Run this command: conda install pytorch torchvision cuda75 -c pytorch
CUDA :8
Run this command: conda install pytorch torchvision -c pytorch
CUDA :9
Run this command: conda install pytorch torchvision cuda90 -c pytorch
CUDA :NONE
Run this command: conda install pytorch torchvision -c pytorch
OS :Linux,
Package Manager :conda,
Python :3.6,
CUDA :7.5
Run this command: conda install pytorch torchvision cuda75 -c pytorch
CUDA :8
Run this command: conda install pytorch torchvision -c pytorch
CUDA :9
Run this command: conda install pytorch torchvision cuda90 -c pytorch
CUDA :NONE
Run this command: conda install pytorch torchvision -c pytorch
OS :Linux,
Package Manager :pip,
Python :2.7,
CUDA :7.5
Run this command:pip install http://download.pytorch.org/whl/cu75/torch-0.3.0.post4-cp27-cp27mu-linux_x86_64.whl
pip install torchvision
# if the above command does not work, then you have python 2.7 UCS2, use this command
pip install http://download.pytorch.org/whl/cu75/torch-0.3.0.post4-cp27-cp27m-linux_x86_64.whl
CUDA :8
Run this command: pip install http://download.pytorch.org/whl/cu80/torch-0.3.0.post4-cp27-cp27mu-linux_x86_64.whl
pip install torchvision
# if the above command does not work, then you have python 2.7 UCS2, use this command
pip install http://download.pytorch.org/whl/cu80/torch-0.3.0.post4-cp27-cp27m-linux_x86_64.whl
CUDA :9
Run this command: pip install http://download.pytorch.org/whl/cu90/torch-0.3.0.post4-cp27-cp27mu-linux_x86_64.whl
pip install torchvision
# if the above command does not work, then you have python 2.7 UCS2, use this command
pip install http://download.pytorch.org/whl/cu90/torch-0.3.0.post4-cp27-cp27m-linux_x86_64.whl
CUDA :NONE
Run this command: pip install http://download.pytorch.org/whl/cu80/torch-0.3.0.post4-cp27-cp27mu-linux_x86_64.whl
pip install torchvision
# if the above command does not work, then you have python 2.7 UCS2, use this command
pip install http://download.pytorch.org/whl/cu80/torch-0.3.0.post4-cp27-cp27m-linux_x86_64.whl
OS :Linux,
Package Manager :pip,
Python :3.5,
CUDA :7.5
Run this command: pip3 install http://download.pytorch.org/whl/cu75/torch-0.3.0.post4-cp35-cp35m-linux_x86_64.whl
pip3 install torchvision
CUDA :8
Run this command: pip3 install http://download.pytorch.org/whl/cu80/torch-0.3.0.post4-cp35-cp35m-linux_x86_64.whl
pip3 install torchvision
CUDA :9
Run this command: pip3 install http://download.pytorch.org/whl/cu90/torch-0.3.0.post4-cp35-cp35m-linux_x86_64.whl
pip3 install torchvision
CUDA :NONE
Run this command: pip3 install http://download.pytorch.org/whl/cu80/torch-0.3.0.post4-cp35-cp35m-linux_x86_64.whl
pip3 install torchvision
OS :Linux,
Package Manager :pip,
Python :3.6,
CUDA :7.5
Run this command: pip3 install http://download.pytorch.org/whl/cu75/torch-0.3.0.post4-cp36-cp36m-linux_x86_64.whl
pip3 install torchvision
CUDA :8
Run this command: pip3 install http://download.pytorch.org/whl/cu80/torch-0.3.0.post4-cp36-cp36m-linux_x86_64.whl
pip3 install torchvision
CUDA :9
Run this command: pip3 install http://download.pytorch.org/whl/cu90/torch-0.3.0.post4-cp36-cp36m-linux_x86_64.whl
pip3 install torchvision
CUDA :NONE
Run this command: pip3 install http://download.pytorch.org/whl/cu80/torch-0.3.0.post4-cp36-cp36m-linux_x86_64.whl
pip3 install torchvision
OS :Linux,
Package Manager :Source,
Python :2.7, 3.5, 3.6
CUDA :7.5, 8, 9, None
Run this command: # Follow instructions at this URL:
https://github.com/pytorch/pytorch#from-source