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onehotbatch with CuArray #1959

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Merged
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May 7, 2022
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onehotbatch with CuArray #1959

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2 changes: 2 additions & 0 deletions src/onehot.jl
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Expand Up @@ -185,6 +185,8 @@ julia> reshape(1:15, 3, 5) * oh # this matrix multiplication is done efficientl
"""
onehotbatch(data, labels, default...) = _onehotbatch(data, length(labels) < 32 ? Tuple(labels) : labels, default...)

_onehotbatch(data::CuArray, labels) = _onehotbatch(data |> cpu, labels) |> gpu

function _onehotbatch(data, labels)
indices = UInt32[something(_findval(i, labels), 0) for i in data]
if 0 in indices
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7 changes: 7 additions & 0 deletions test/cuda/cuda.jl
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Expand Up @@ -45,6 +45,13 @@ end

gA = rand(3, 2) |> gpu;
@test gradient(A -> sum(A * y), gA)[1] isa CuArray

# construct from CuArray
x = [1, 3, 2]
y = Flux.onehotbatch(x, 0:3)
y2 = Flux.onehotbatch(x |> gpu, 0:3)
@test y2.indices isa CuArray
@test y2 |> cpu == y
end

@testset "onecold gpu" begin
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