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sandialabs / pyapprox

Flexible and efficient tools for high-dimensional approximation, scientific machine learning and uncertainty quantification.
https://sandialabs.github.io/pyapprox/
MIT License
51 stars 13 forks source link

Installation issues #1

Closed QianWanghhu closed 2 years ago

QianWanghhu commented 4 years ago

While installing the package to my computer, I have met two issues: (1) “C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\bin\HostX86\x64\cl.exe” /c /nologo /Ox /W3 /GL /DNDEBUG /MD -IF:\Anaconda3\envs\approxi\include -IF:\Anaconda3\envs\approxi\include "-IC:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.24.28314\include" "-IC:\Program Files (x86)\Windows Kits\10\include\10.0.18362.0\ucrt" "-IC:\Program Files (x86)\Windows Kits\10\include\10.0.18362.0\shared" "-IC:\Program Files (x86)\Windows Kits\10\include\10.0.18362.0\um" "-IC:\Program Files (x86)\Windows Kits\10\include\10.0.18362.0\winrt" "-IC:\Program Files (x86)\Windows Kits\10\include\10.0.18362.0\cppwinrt" /Tcpyapprox/cython\sparse_grid.c /Fobuild\temp.win-amd64-3.7\Release\pyapprox/cython\sparse_grid.obj

The solution worked for my computer is adding include_dirs=[np.get_include()] to the setuptools.setup in setup file.

(2) The module torch installed through setup.py was not working. Instead, I installed separately from PyTorch through the PyTorch website following the instruction online.

Hope this will be helpful for others and these issues will be fixed soon.

jdjakem commented 2 years ago

The installation procedure has been updated and should fix this issue.