Hi Tom,
Mose: what version of julia are you on? Anonymous functions and closures > are much faster on 0.5... In fact there should be no performance penalty vs > regular functions, which allows you to rethink your paradigm. > It was Julia 0.4.6, but I get similar results also with Julia 0.6-dev.72: julia> using BenchmarkTools, AutoGrad julia> COS = grad(sin) (::gradfun) (generic function with 1 method) julia> @benchmark cos(0.0) BenchmarkTools.Trial: samples: 10000 evals/sample: 1000 time tolerance: 5.00% memory tolerance: 1.00% memory estimate: 0.00 bytes allocs estimate: 0 minimum time: 6.00 ns (0.00% GC) median time: 6.00 ns (0.00% GC) mean time: 6.03 ns (0.00% GC) maximum time: 19.00 ns (0.00% GC) julia> @benchmark COS(0.0) BenchmarkTools.Trial: samples: 10000 evals/sample: 1 time tolerance: 5.00% memory tolerance: 1.00% memory estimate: 4.05 kb allocs estimate: 71 minimum time: 23.07 μs (0.00% GC) median time: 24.27 μs (0.00% GC) mean time: 25.36 μs (1.63% GC) maximum time: 4.23 ms (97.76% GC) Bye, Mosè
