I am trying to learn the syntax of NeuralPDE.jl for some PINN work by going through the documentation tutorials found here.
When building the PINN algorithm using the PhysicsInformedNN(chain, strategy) function, I am getting a MethodError for whichever strategy I attempt to use. The tutorial suggests GridTraining(.05) and I also tried the StochasticTraining(::Int64) with no luck.
dim = 2 # number of dimensions
chain = FastChain(FastDense(dim,16,Flux.σ),FastDense(16,16,Flux.σ),FastDense(16,1))
dx = 0.05
discretization = PhysicsInformedNN(chain,GridTraining(dx))
ERROR:
MethodError: no method matching GridTraining(::Float64)