Manual loss weights adaptation in TF2.0 #1656
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What?
tensorflow
callbacks
without the need to recompile the modelWhy?
deepxde
users can formulate their non-gradient-based adaptive loss weights schemeHow?
loss_weights
as instances for functions that work fortensorflow
backendcalback
to change theloss_weights
ManualDynamicLossWeight
: to change the loss weights based on the specified indexPrintLossWeight
: to display the loss weights based on the specified periodTesting?
deepxde\examples\pinn_inverse\elliptic_inverse_field_manual_dynamic_loss_weights.py
Future work