0x00 前言 前言什么的也懒得说了…… 总之: 听说你Pytorch很牛, 不乐意让我Windows用, 而我又听说pytorch用来训练模型超好用, 不仅没头脑而且不高兴!我要在我的windows上配一个!
0x01 准备工作
0x02 配置开始 首先,我们需要一个比较配pytorch的环境,此处使用python3.6.1,因为我把离线安装包下载到了D盘的Downloads目录下,所以我们就在D:\Downloads\
这里操作吧,根据你们想放在哪里自行安排。
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 $ conda create -n torch python=3.6.1 Fetching package metadata ........... Solving package specifications: . Package plan for installation in environment C:\ProgramData\Anaconda3\envs\torch: The following NEW packages will be INSTALLED: certifi: 2016.2.28-py36_0 pip: 9.0.1-py36_1 python: 3.6.1-2 setuptools: 36.4.0-py36_0 vs2015_runtime: 14.0.25420-0 wheel: 0.29.0-py36_0 wincertstore: 0.2-py36_0 Proceed ([y]/n)? y vs2015_runtime 100% |###############################| Time: 0:01:28 23.07 kB/s python-3.6.1-2 100% |###############################| Time: 0:28:32 19.29 kB/s certifi-2016.2 100% |###############################| Time: 0:00:10 21.24 kB/s wincertstore-0 100% |###############################| Time: 0:00:00 45.54 kB/s setuptools-36. 100% |###############################| Time: 0:00:21 28.14 kB/s # # To activate this environment, use: # > activate torch # # To deactivate an active environment, use: # > deactivate # # * for power-users using bash, you must source #
然后我们进入这个只有默认包的conda环境中,至少把numpy啥的pytorch必备组件给他装上:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 (torch) D:\Downloads>conda install numpy mkl cffi Fetching package metadata ........... Solving package specifications: . Package plan for installation in environment C:\ProgramData\Anaconda3\envs\torch: The following NEW packages will be INSTALLED: cffi: 1.10.0-py36_0 mkl: 2017.0.3-0 numpy: 1.13.1-py36_0 pycparser: 2.18-py36_0 Proceed ([y]/n)? pycparser-2.18 100% |###############################| Time: 0:00:06 27.88 kB/s
然后就是激动人心的装这个离线包了!
1 2 3 4 5 (torch) D:\Downloads>conda install --offline pytorch-0.2.1-py36he6bf560_0.2.1cu80.tar.bz2 CondaError: EOFError('Compressed file ended before the end-of-stream marker was reached',) CondaError: EOFError('Compressed file ended before the end-of-stream marker was reached',) CondaError: EOFError('Compressed file ended before the end-of-stream marker was reached',)
我很想大声的喊一句“不可能只有我一个人,不会只有我遇到这种情况!” 在check了一下下载的压缩包并没有损坏之后,查到一个解决方案:(Thx to @李新鹏 ):
解决‘CondaError: EOFError(‘Compressed file ended before the end-of-stream marker was reached’,)’问题,在anaconda/pkgs
文件夹删除缓存的pytorch安装包再安装比较好,不会删去其余完好的安装包
然后在anaconda目录(比如我的在C:\ProgramData\Anaconda3\pkgs\
)下,找到先前缓存的pytorch包(比如我的是C:\ProgramData\Anaconda3\pkgs\pytorch-0.2.1-py36he6bf560_0.2.1cu80.tar.bz2
),直接把这个文件删掉,然后回到CMD中,再次输入
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 (torch) D:\Downloads>conda install --offline pytorch-0.2 .1 -py36he6bf560_0.2 .1 cu80.tar.bz2 (torch) D:\Downloads>python Python 3.6 .1 |Continuum Analytics, Inc.| (default, May 11 2017 , 13 :25 :24 ) [MSC v.1900 64 bit (AMD64)] on win32 Type "help" , "copyright" , "credits" or "license" for more information.>>> import pytorchTraceback (most recent call last): File "<stdin>" , line 1 , in <module> ModuleNotFoundError: No module named 'pytorch' >>> import torch>>> x = torch.Tensor([1.0 ])>>> xx = x.cuda()>>> print (xx) 1 [torch.cuda.FloatTensor of size 1 (GPU 0 )]
可喜可贺,可喜可贺~
哦对了最后还可以放进jupyter notebook的kernel里用
1 2 3 sudo pip install -U ipykernel # source activate torch python -m ipykernel install --user