ERROR: Failed cleaning build dir for numba Failed to build numba Installing collected packages: numpy, llvmlite, numba, unravel Running setup.py install for numba ... done DEPRECATION: numba was installed using the legacy 'setup.py install' method, because a wheel could not be built for it. ...
to the path for llvm-config error: command '/usr/bin/python3' failed with exit status 1 --- ERROR: Failed building wheel for llvmlite Running setup.py clean for llvmlite Successfully built numba Failed to build llvmlite DEPRECATION: Could not build wheels for llvmlite which do not use PEP...
You can also try to construct a suitable installation command from theofficial docs. Click on the link, select your operating system and your environment, and copy the command from the "Run this Command" section. The error is sometimes caused when the package you are trying to install doesn'...
Docker容器的本质就是通过容器虚拟技术虚拟出的一台主机，就像虚拟机一样。可以将应用及其运行环境部署在这台虚拟的主机上运行。但容器与虚拟机又有着本质的不同。在
在弹出“Failed to create menus”后,选择忽略,让程序继续安装,我们看到安装程序有个“show detail” 的按钮, 点击“忽略” 后弹出框会消失,安装程序会停留在如下界面,等待用户点击“下一步” ,此时我们不要点“下一步”, 而是点击“show detail”,看看报错的详细信息 ...
2,可以import cupy,但是执行extern C的情况下出现cupy.cuda.compiler.CompileException: nvrtc: error: failed to open nvrtc-builtins64_111.dll. Make sure that nvrtc-builtins64_111.dll is installed correctly.的问题 开始以为是numba把cupy玩坏了,但是没有安装numba的条件下依然会存在这个问题,首先假设: ...
> numba>=0.49->umap-learn>=0.5.0->bertopic) (58.0.4) > Requirement already satisfied: llvmlite<0.38,>=0.37.0rc1 in c:\users\martin kunth\anaconda3\lib\site-packages (from > numba>=0.49->umap-learn>=0.5.0->bertopic) (0.37.0) ...
imageio-ffmpeg-0.4.7importlib-resources-5.4.0kiwisolver-1.3.1llvmlite-0.36.0matplotlib-3.3.4more-itertools-8.7.0 moviepy-1.0.3networkx-2.5.1numba-0.53.1numpy-1.19.5proglog-0.1.10pymatting-1.1.8requests-2.27.1 scikit-image-0.17.2scipy-1.5.4six-1.16.0soupsieve-2.3.2.post1 tifffile-2020.9.3...
llvmlite 0.27.1-py36_0 --> 0.25.0-py36_2 numba 0.42.1-np116py36_0 --> 0.40.0-np115py36_3 numpy 1.16.1-py36h7b7c402_3 --> 1.15.4-py36_2 numpy-base 1.16.1-py36_3 --> 1.15.4-py36_2 scikit-learn 0.20.2-py36h7b7c402_2 --> 0.20.0-py36_17 scipy 1.2.0-py36_...
llvmlite 0.27.1-py36_0 --> 0.25.0-py36_2 numba 0.42.1-np116py36_0 --> 0.40.0-np115py36_3 numpy 1.16.1-py36h7b7c402_3 --> 1.15.4-py36_2 numpy-base 1.16.1-py36_3 --> 1.15.4-py36_2 scikit-learn 0.20.2-py36h7b7c402_2 --> 0.20.0-py36_17 scipy 1.2.0-py36_...