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chriselrod avatar chriselrod commented on August 26, 2024
julia> using SLEEF, BenchmarkTools, ForwardDiff

julia> using Zygote: @grad, derivative
[ Info: Precompiling Zygote [e88e6eb3-aa80-5325-afca-941959d7151f]
[ Info: Precompiling IRTools [7869d1d1-7146-5819-86e3-90919afe41df]

julia> @grad SLEEF.sin(x) = (SLEEF.sin(x), Δ ->* SLEEF.cos(x),))

julia> foo(x) = sin(x)^2 + exp(sin(x)/4)/12.3
foo (generic function with 1 method)

julia> sfoo(x) = SLEEF.sin(x)^2 + exp(SLEEF.sin(x)/4)/12.3
sfoo (generic function with 1 method)

julia> @btime ForwardDiff.derivative(foo, 1.2)
  40.227 ns (0 allocations: 0 bytes)
0.6847607046969565

julia> @btime derivative(foo, 1.2)
  48.593 ns (1 allocation: 16 bytes)
0.6847607046969566

julia> @btime derivative(sfoo, 1.2)
  116.762 ns (1 allocation: 16 bytes)
0.6847607046969566

I wish I could use SLEEF.sincos like this:

@grad function SLEEF.sin(x)
    sinx, cosx = SLEEF.sincos(x)
    sinx, cosx
    sinx, Δ ->* cosx, )
end

but that function is very slow.
For what it's worth. SLEEF.sin and SLEEF.cos are each about 20ns slower on my computer than sin and cos, explaining the difference in run time between sfoo and foo.

from zygote.jl.

MasonProtter avatar MasonProtter commented on August 26, 2024

Ohhh, I misunderstood the section on how to define custom gradients. My mistake.

from zygote.jl.

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