CuCholeskySolver GPU memory leak

[KSepetanc]

I found out that solving the ExaModels AC OPF documentation example in a loop results in possible memory leak. All of 6 GB of GPU's VRAM is taken in about 33 solves.

Below is part relevant part of the code and full code to reproduce can be downloaded: gpu memory leak.zip

m = ac_power_model("pglib_opf_case13659_pegase.m",backend=CUDABackend())

for i in 1:50
    println(i)
    madnlp(m,linear_solver=MadNLPGPU.CuCholeskySolver)
end

Configuration:
Windows,
CPU: AMD R9 5950x
GPU GTX 1060 6GB

[sshin23]

GPU memory usage is not necessarily optimized on MadNLP. Curious if this is CuCholeskySolver's issue or general MadNLP issue. Have you tried CUDSSSolver (the default solver for CUDA)?

[KSepetanc]

I have tried, but it fails with an error reported in 333.

I run dual boot of Windows and Linux and on Linux there is much less severe memory issue, but still existent.

[KSepetanc]

With package update as suggested in 333 issue, I've managed to run OPF with CUDSSSolver.
I the memory issue is still present. Memory usage goes slowly up with repeated runs of MadNLP until failure due to full VRAM.