But I am flagging it here because it seems to be a problem in Juno, and is very serious. Someone here should have a look as well.
The results of this simple computation (below) should be deterministic,
and seem to be outside of Juno, but in the Juno REPL there is a big error (far beyond flowing point numerics).
The simplest way to reporduce it:
using Flux batchsize = 2 ii = randn(Float32, 5,4,3,batchsize) ll = Conv((3,3), 3=>3) maximum(ll(ii)-ll(ii))
It is just creating a random matrix ii, then passing it through a small convolution, twice, and looking at the maximum difference in results. Which should be zero, but sometimes is a huge value like 5.
Repeat the last line about 10 times to see the problem.
This occurs in an Atom 1.42 installed two days ago, Julia1.3.1+Flux 0.9,
but does not happen when running the same Julia in the terminal, as described in the linked post.