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use buffer in BatchView #157

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44 changes: 32 additions & 12 deletions src/batchview.jl
Original file line number Diff line number Diff line change
Expand Up @@ -134,26 +134,45 @@ Base.@propagate_inbounds function getobs(A::BatchView)
return _getbatch(A, 1:numobs(A.data))
end

Base.@propagate_inbounds function Base.getindex(A::BatchView, i::Int)
obsindices = _batchrange(A, i)
Base.@propagate_inbounds function Base.getindex(A::BatchView, i)
obsindices = _batchindexes(A, i)
_getbatch(A, obsindices)
end

Base.@propagate_inbounds function Base.getindex(A::BatchView, is::AbstractVector)
obsindices = union((_batchrange(A, i) for i in is)...)::Vector{Int}
_getbatch(A, obsindices)
end

function _getbatch(A::BatchView{TElem, TData, Val{true}}, obsindices) where {TElem, TData}
function _getbatch(A::BatchView{<:Any, <:Any, Val{true}}, obsindices)
batch([getobs(A.data, i) for i in obsindices])
end
function _getbatch(A::BatchView{TElem, TData, Val{false}}, obsindices) where {TElem, TData}
function _getbatch(A::BatchView{<:Any, <:Any, Val{false}}, obsindices)
return [getobs(A.data, i) for i in obsindices]
end
function _getbatch(A::BatchView{TElem, TData, Val{nothing}}, obsindices) where {TElem, TData}
function _getbatch(A::BatchView{<:Any, <:Any, Val{nothing}}, obsindices)
getobs(A.data, obsindices)
end

function getobs!(buffer, A::BatchView, i)
obsindices = _batchindexes(A, i)
return _getbatch!(buffer, A, obsindices)
end

function _getbatch!(buffer, A::BatchView{<:Any, <:Any, Val{nothing}}, obsindices)
return getobs!(buffer, A.data, obsindices)
end

# This collate=true specialization doesn't seem to be particularly useful, use collate=nothing instead.
function _getbatch!(buffer, A::BatchView{<:Any, <:Any, Val{true}}, obsindices)
for (i, idx) in enumerate(obsindices)
getobs!(buffer[i], A.data, idx)
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I don't understand why this isn't

Suggested change
getobs!(buffer[i], A.data, idx)
getobs!(buffer, A.data, idx)

Can you explain how it works to me briefly?

end
return batch(buffer)
end

function _getbatch!(buffer, A::BatchView{<:Any, <:Any, Val{false}}, obsindices)
for (i, idx) in enumerate(obsindices)
getobs!(buffer[i], A.data, idx)
end
return buffer
end

Base.parent(A::BatchView) = A.data
Base.eltype(::BatchView{Tel}) where Tel = Tel

Expand All @@ -169,6 +188,9 @@ Base.iterate(A::BatchView, state = 1) =
return startidx:endidx
end

@inline _batchindexes(A::BatchView, i::Integer) = _batchrange(A, i)
@inline _batchindexes(A::BatchView, is::AbstractVector{<:Integer}) = union((_batchrange(A, i) for i in is)...)::Vector{Int}

function Base.showarg(io::IO, A::BatchView, toplevel)
print(io, "BatchView(")
Base.showarg(io, parent(A), false)
Expand All @@ -178,5 +200,3 @@ function Base.showarg(io::IO, A::BatchView, toplevel)
print(io, ')')
toplevel && print(io, " with eltype ", nameof(eltype(A))) # simplify
end

# --------------------------------------------------------------------
32 changes: 32 additions & 0 deletions test/batchview.jl
Original file line number Diff line number Diff line change
Expand Up @@ -116,4 +116,36 @@ using MLUtils: obsview
@test bv[2] == 6:10
@test_throws BoundsError bv[3]
end


@testset "getobs!" begin
buf1 = rand(4, 3)
bv = BatchView(X, batchsize=3)
@test @inferred(getobs!(buf1, bv, 2)) === buf1
@test buf1 == getobs(bv, 2)

buf12 = [rand(4) for _=1:3]
bv12 = BatchView(X, batchsize=3, collate=false)
@test @inferred(getobs!(buf12, bv12, 2)) === buf12
@test buf12 == getobs(bv12, 2)

buf2 = rand(4, 6)
@test @inferred(getobs!(buf2, bv, [1,3])) === buf2
@test buf2 == getobs(bv, [1,3])

@testset "custom type" begin # issue #156
struct DummyData{X}
x::X
end
MLUtils.numobs(data::DummyData) = numobs(data.x)
MLUtils.getobs(data::DummyData, idx) = getobs(data.x, idx)
MLUtils.getobs!(buffer, data::DummyData, idx) = getobs!(buffer, data.x, idx)

data = DummyData(X)
buf = rand(4, 3)
bv = BatchView(data, batchsize=3)
@test @inferred(getobs!(buf, bv, 2)) === buf
@test buf == getobs(bv, 2)
end
end
end
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