I am beginner in Julia and try to understand the basics.
I have an ODE problem with 2 parameters (PI control). These are to be learned from a measurement series.
My loss function looks like this:
function loss(p) prediction = solve(prob_nn, Euler(), dt=Δt, p=p, saveat = t, sensealg=ForwardDiffSensitivity(convert_tspan=true)) loss = sum(abs2, prediction[1:end-1,:].-X) return loss, prediction end
and it is called by sciml_train:
result_ode = DiffEqFlux.sciml_train(loss, G_nn, BFGS()) #, cb = callback)
The algorithm finds the desired parameters in 8 iterations. Now I would like to know how often my loss function is actually called. I suspect that will happen more than 8 times (not just for calculating the gradients).
How can I find out? I wanted to use Timeroutputs, but don’t know how. I can’t place the timer into the loss function like
@timeit to "loss_time" loss = sum(abs2, prediction[1:end-1,:].-X)
nor in sciml_train.
My next approach was the instrumenting profiler, but the IProfile package seems to be no longer available.
I would be very grateful if someone could help me with this problem.