Generic conjugate gradient solver that works with your favorite backend
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PyConGrad
A somewhat optimized generic batch conjugate gradient algorithm that works with PyTorch, NumPy, CuPy, and whatever other backend you like as long as you code it up.
Heavily inspired by sbarratt/torch_cg and uses similar function signatures.
For more information, documentation, and detailed instructions, see the examples folder. In particular, notebook 2 in that folder discusses how to exactly duplicate the behavior of the original torch_cg.
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