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optimized hcat of onehot vectors and matrices #1595

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Merged
merged 9 commits into from
May 13, 2021
Merged

optimized hcat of onehot vectors and matrices #1595

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20ca411
onehot hcat optimizations
racinmat May 11, 2021
2a2834d
Apply suggestions from code review
racinmat May 11, 2021
f725d3d
reverting to original code, which is faster.
racinmat May 12, 2021
1992006
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racinmat May 13, 2021
22f4398
much faster constructors
racinmat May 13, 2021
3490b3a
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racinmat May 13, 2021
a6db4fe
removing reductions
racinmat May 13, 2021
1d90eb7
removing tests for reduction
racinmat May 13, 2021
9d2282c
added type test
racinmat May 13, 2021
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10 changes: 8 additions & 2 deletions src/onehot.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -5,8 +5,8 @@ struct OneHotArray{T<:Integer, L, N, var"N+1", I<:Union{T, AbstractArray{T, N}}}
indices::I
end
OneHotArray{T, L, N, I}(indices) where {T, L, N, I} = OneHotArray{T, L, N, N+1, I}(indices)
OneHotArray(indices::T, L::Integer) where {T<:Integer} = OneHotArray{T, L, 0, T}(indices)
OneHotArray(indices::AbstractArray{T, N}, L::Integer) where {T, N} = OneHotArray{T, L, N, typeof(indices)}(indices)
OneHotArray(indices::T, L::Integer) where {T<:Integer} = OneHotArray{T, L, 0, 1, T}(indices)
OneHotArray(indices::I, L::Integer) where {T, N, I<:AbstractArray{T, N}} = OneHotArray{T, L, N, N+1, I}(indices)

_indices(x::OneHotArray) = x.indices
_indices(x::Base.ReshapedArray{<: Any, <: Any, <: OneHotArray}) =
Expand Down Expand Up @@ -75,6 +75,12 @@ end
Base.hcat(x::OneHotLike, xs::OneHotLike...) = cat(x, xs...; dims = 2)
Base.vcat(x::OneHotLike, xs::OneHotLike...) = cat(x, xs...; dims = 1)

# optimized concatenation for matrices and vectors of same parameters
Base.hcat(x::T, xs::T...) where {L, T <: OneHotLike{<:Any, L, <:Any, 2}} =
OneHotMatrix(reduce(vcat, _indices.(xs); init = _indices(x)), L)
Base.hcat(x::T, xs::T...) where {L, T <: OneHotLike{<:Any, L, <:Any, 1}} =
OneHotMatrix(reduce(vcat, _indices.(xs); init = _indices(x)), L)

batch(xs::AbstractArray{<:OneHotVector{<:Any, L}}) where L = OneHotArray(_indices.(xs), L)

Adapt.adapt_structure(T, x::OneHotArray{<:Any, L}) where L = OneHotArray(adapt(T, _indices(x)), L)
Expand Down
8 changes: 8 additions & 0 deletions test/onehot.jl
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Expand Up @@ -38,7 +38,9 @@ end
using Flux: OneHotArray, OneHotVector, OneHotMatrix, OneHotLike

ov = OneHotVector(rand(1:10), 10)
ov2 = OneHotVector(rand(1:11), 11)
om = OneHotMatrix(rand(1:10, 5), 10)
om2 = OneHotMatrix(rand(1:11, 5), 11)
oa = OneHotArray(rand(1:10, 5, 5), 10)

# sizes
Expand Down Expand Up @@ -74,17 +76,23 @@ end
@testset "Concatenating" begin
# vector cat
@test hcat(ov, ov) == OneHotMatrix(vcat(ov.indices, ov.indices), 10)
@test hcat(ov, ov) isa OneHotMatrix
@test vcat(ov, ov) == vcat(collect(ov), collect(ov))
@test cat(ov, ov; dims = 3) == OneHotArray(cat(ov.indices, ov.indices; dims = 2), 10)

# matrix cat
@test hcat(om, om) == OneHotMatrix(vcat(om.indices, om.indices), 10)
@test hcat(om, om) isa OneHotMatrix
@test vcat(om, om) == vcat(collect(om), collect(om))
@test cat(om, om; dims = 3) == OneHotArray(cat(om.indices, om.indices; dims = 2), 10)

# array cat
@test cat(oa, oa; dims = 3) == OneHotArray(cat(oa.indices, oa.indices; dims = 2), 10)
@test cat(oa, oa; dims = 1) == cat(collect(oa), collect(oa); dims = 1)

# proper error handling of inconsistent sizes
@test_throws DimensionMismatch hcat(ov, ov2)
@test_throws DimensionMismatch hcat(om, om2)
end

@testset "Base.reshape" begin
Expand Down