skcuda.linalg.eig - return eigenvector, index issue ?

[perdigao1]

Problem

I am trying to solve the 2D schrodinger equation using the eigenvector and eigenvalue solver
skcuda.linalg.eig

In the instructions here

it says that

vr_gpu (pycuda.gpuarray.GPUArray) – The normalized (Euclidean norm equal to 1) right eigenvectors, such that the column vr[:,i] is the eigenvector corresponding to the eigenvalue w[i].

However, I am only getting sensible results if I extract the eigenvectors if I assume them to be vr[i,:].

It may be a simply that the help assumes column-major order, but in practise, user should get the vectors by doing vr[i,:] , which can be confusing.

Environment

• OS platform (including distro if you are on Linux) : Windows10
• Python version: 3.0.0
• CUDA version + how you installed it : NVidia installer
• PyCUDA version (including GitHub revision if you have installed it from there) : 2021.1
• scikit-cuda version (including GitHub revision if you have installed it from
  there) : 0.5.4 , installed from github, clone, then run pyton setup.py install