I am going through this ML tutorial on Julia, and I noticed something odd. Output of the following script using BenchmarkTools using Flux @btime f(x) = x^2+1 @btime df(x) = gradient(f,x,nest=true)[1] is this: 0.908 ns (0 allocations: 0 bytes) 0.908 ns (0 allocations: 0 bytes) But it takes …

Real runtime vs. @btime output

Oscar_Smith January 21, 2022, 8:00pm 2

@btime takes 5 seconds to run because it will run your function repeatedly for about 5 seconds (to get accurate runtime measurements).

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