DiffEqFlux.initial_params not defined

General Usage
1

Hi
I want to run a PINN code on my GPU. I used to use the code below to run the code on my GPU and I also want to use QuasiRanodmTraining.

initθ = DiffEqFlux.initial_params(chain) |> gpu

I get the error below:

ERROR: UndefVarError: initial_params not defined

I had never had this problem before I reinstalled my Julia and its packages.
Any Idea how to solve this?
I don’t want to use GridTraining and Quadrature training since they take longer.

2

What tutorial are you looking at? That function hasn’t existed for a long time. Are you looking at the documentation here?

https://docs.sciml.ai/NeuralPDE/dev/

3

Yes, It was there way back then. What is its substitute>? I want to define a system of PDE in multi neural networks and I don’t want to use QuadratureTraining since it doesn’t run on GPU.

4

DiffEqFlux’s FastChain was replaced by the library Lux.jl which fully fledged out its explicit neural network form.

https://lux.csail.mit.edu/stable/

If you look at the NeuralPDE docs you’ll see all tutorials use Lux.

https://docs.sciml.ai/NeuralPDE/dev/tutorials/pdesystem/