Closed xsedla0k closed 6 years ago
This obviously depends on your machine and objective function. I guess that for 10000+ parameter it will take some time.
If the objective function is simply convex I suggest to have a look at simpler algorithm implemented in CUDA. Or relying on TensorFlow or PyTorch only which does all on the GPU (excl. scipy-opt)
Hi there,
I have a question how many variable could be solved with your method(s).
I must optimize objective function with about +10 000 parameters, and i am worrying about low memory error. Thanks for answer. ;)