cannot take derivative of a scalar function about autograd.jl HOT 6 OPEN

This turned out to be tough nut to crack: it has to do with broadcast multiplying a Result{Array} with an Array{Any} that has Result's in it. I am not sure this code does anything useful but it certainly proved useful as a test case. @ekinakyurek where did you find this code and what is it supposed to compute?

from autograd.jl.

from autograd.jl.

I am not sure if that is exactly the same problem, but gives "AssertionError: Only scalar valued functions supported." with the code below.

using CuArrays
using AutoGrad
a= Param([cu(rand(4,1)) for i=1:4])
f(x) = (maximum.(a)).^2
@show f(a)
dvals = @diff f(a)
parameters = collect(params(dvals))
map(x->grad(dvals, x),parameters)

from autograd.jl.

The plot of F(t) runs. But Fd(t) can not run.
I see the same error (AssertionError: Only scalar valued functions supported.)

using Knet, Plots
F(t) = sin.(t)
Fd = grad(F)

t=0:0.1:2*3.14
plot(F(t))
plot(Fd(t))

from autograd.jl.

To take the grad of F, F should return a scalar value. Then you can apply broadcasted version of both F and Fd on t.

using Knet, Plots
F(t) = sin(t)
Fd = grad(F)

t=0:0.1:2*3.14
plot(F.(t))
plot(Fd.(t))

from autograd.jl.

Thank you very much Ozan.
The answer is true.

from autograd.jl.