问题描述
我一直在尝试使用Windows上的BLAS快速运行Numpy，到目前为止，看来可行的唯一方法是从 http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy .
I've been trying to get a working fast numpy with BLAS on Windows, and so far, the only method that seems feasible is downloading the precompiled library with MKL from http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy.
到目前为止，还可以，但是稍后再尝试numpy.__config__.show()时，我看到它指向了不存在的目录，例如C:\program files (x86)\IntelSWTools
So far ok, but chekcing later numpy.__config__.show(), I see it points to directories that don't exist, such as C:\program files (x86)\IntelSWTools
我假设numpy试图将MKL库放置在此目录中，但是我没有在C:\program files (x86)中创建文件的管理特权.
I assume numpy is trying to place the MKL libraries in this directory, but I have no administration privileges for creating files in C:\program files (x86).
有没有简单的方法来使用numpy发行版并将MKL库安装在另一个目录中?例如pip install filename.whl --some_option_to_install_mkl_in_another_dir?
Is there any simple way to use this numpy distribution and install the MKL libs in another directory? Such as a pip install filename.whl --some_option_to_install_mkl_in_another_dir?
(Windows 7 64位，python 3.5.2)
(Windows 7 64bit, python 3.5.2)
已尝试:
-
使用
pip install <package> --user:似乎与没有--user的同一命令安装方式完全相同. (我的默认安装文件夹为aldready用户文件夹)
Use
pip install <package> --user: it seems to install everything exactly the same way as the same command without--user. (My default installation folder is aldready the user folder)
用户pip install <package> --root <some_path>:将所有内容安装在传递的路径中，但是Numpy配置仍然指向C:\program files (x86)\IntelSWTools，并且即使我在PATH和PYTHONPATH中都添加了<some_path>，python也找不到numpy.环境变量
User pip install <package> --root <some_path>: installs everything in the passed path, but Numpy config still points to C:\program files (x86)\IntelSWTools, and python cannot find numpy, even if I add <some_path> to both PATH and PYTHONPATH environment vars
尝试创建带有行[global]和target=E:\destination的pip.ini文件.目标文件夹保持不变.
Tried to create the pip.ini file, with the lines [global] and target=E:\destination. The destination folder remains untouched.
将wheels文件重命名为zip，找到包含IntelSWTools文件夹的所有文件，将所有这些文件夹更改为我可以访问的文件夹.再次使其成为Wheels文件并进行pip安装.绝对没有文件出现在我选择的文件夹中，但numpy config指向该文件夹. -这让我感到奇怪:此发行版确实安装了MKL吗?
Rename the wheels file to zip, find all files containing the IntelSWTools folder, change all these folders to one that I have access to. Make it a wheels file again and pip install. Absolutely no file appears in the folder I chose, but numpy config is pointing to that folder. -- This makes me wonder: does this distribution really installs MKL?
推荐答案
Numpy+MKL不会将MKL库放置(或尝试放置)在C:\program files (x86)\IntelSWTools中.在使用pip安装过程中，将使用numpy + MKL所需的 MKL运行时DLL 复制到sys.prefix\Lib\site-packages\numpy\core.
Numpy+MKL does not place (or try to place) MKL libraries in C:\program files (x86)\IntelSWTools. The MKL runtime DLLs necessary to use numpy+MKL are copied to sys.prefix\Lib\site-packages\numpy\core during installation with pip.
C:\program files (x86)\IntelSWTools是用于构建numpy + MKL的 MKL开发文件(链接库，头文件，DLL，文档)的位置.如果要从依赖MKL开发文件的源代码构建其他软件，则需要从以下位置下载MKL英特尔.
C:\program files (x86)\IntelSWTools is the location of the MKL development files (link libraries, header files, DLLs, documentation) that were used to build numpy+MKL. If you want to build other software from source that relies on MKL development files, you need to download MKL from Intel.
这篇关于Gohlke的numpy + mkl安装-在Windows上更改MKL安装目录的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！