MWE from Flux.jl#1804

mwe.jl

using Flux

include("weights.jl")

function gradtezt(x, weight, bias, act=selu)
  gx = gpu(x)
  ctc = ConvTranspose(weight, bias, act, groups=5)
  gtc = gpu(ctc);
  yc = Flux.withgradient(() -> sum(ctc(x)), params(ctc)) |> first
  yg = Flux.withgradient(() -> sum(gtc(gx)), params(gtc)) |> first
  yc, yg, isapprox(yc, yg, rtol=1f-3, atol=1f-3)
end

@show gradtezt(x_cpu, weight_cpu, bias_cpu)

weights.jl

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