I’m seeing a big slowdown in some code that uses Distributions.jl on 0.7 (built from master this morning), compared to 0.6.3. A MWE is using Distributions function main() a = zeros(100) y = rand(30) for i = 1:100 d = Exponential(rand()) a[i] = mean(logpdf.(d, y)) e…

I think you are running into a silent deprecation warning. Use --depwarn=yes to get ERROR: broadcast will default to iterating over its arguments in the future. Wrap arguments of type `x::Exponential{Float64}` with `Ref(x)` to ensure they broadcast as "scalar" elements. and then fixing as …

BTW, I wonder why these deprecation warnings are not showing by default.

Great! Thanks! I agree that 0.7 is awesome, and I’m really happy to see that this only slowdown I’ve encountered has a simple solution.

This is a good question. I wonder if it’s a big in the deprecation system. Was this deprecation perhaps shown earlier in the same session?

I believe that I did see the warning at the beginning of the process, but not while I was trying to figure out what to do.

I can confirm that it is shown, I may have missed it because of other warnings previously.

Ok, then this is all working as it should.

Slowdown of Distributions.jl on 0.7?

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Slowdown of Distributions.jl on 0.7?

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