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Stochastic reconfiguration and Linear Method as pytorch optimizers #15

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NicoRenaud opened this issue Dec 28, 2019 · 1 comment
Open

Stochastic reconfiguration and Linear Method as pytorch optimizers #15

NicoRenaud opened this issue Dec 28, 2019 · 1 comment

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@NicoRenaud
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Both LR and LM requires the calculations of some gradients wrt the optimization paramters over the sampling point. We could get those in the .grad of the parameters after calculation of the wave function.

We should develop SR and LM as pytorch optimizers to be able to switch between traditional ML optimizers and dedicated QMC optimizers
@NicoRenaud
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SR in master now (not really tested though ... )

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@NicoRenaud