Closed
Description
Hello, I was hitting the following problem: when using nested zip
functions julia is somehow not able to generate fast code on the first run but on the second run the function becomes fast. An example is
using Statistics
using BenchmarkTools
f(X) = reweight((a for a ∈ X.A), 0.1)
g(X) = reweight((a * b for (a, b) ∈ zip(X.A, X.B)), 0.1)
@inline function reweight(A, ω)
N = 0.0
for (a,) ∈ zip(A)
N += a
end
return N
end
N = 100
X = (A = rand(N), B = rand(N))
println("f")
@btime f($X)
println("g")
@btime g($X)
@code_warntype g(X)
Here, the first time @code_warntype
is reporting some bad things but running the code again removes this and the function is much faster.
There is a discussion on discourse and I was suggested to submit an issue for this here.
julia> versioninfo()
Julia Version 1.1.0
Commit 80516ca202 (2019-01-21 21:24 UTC)
Platform Info:
OS: Linux (x86_64-pc-linux-gnu)
CPU: Intel(R) Pentium(R) CPU N3530 @ 2.16GHz
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-6.0.1 (ORCJIT, silvermont)
Please help me to find a solution for this as it really slows down my calculations considerable. Thanks.