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Mixed getindex with AbstractZeros #716

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Mixed getindex with AbstractZeros #716

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2 changes: 1 addition & 1 deletion src/rulesets/Base/indexing.jl
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Expand Up @@ -101,7 +101,7 @@ and its element type is wide enough to allow `setindex!(dx, dy, inds...)`, which
It's unfortunate to close over `x`, but `similar(typeof(x), axes(x))` doesn't
allow `eltype(dy)`, nor does it work for many structured matrices.
"""
_setindex_zero(x::AbstractArray{<:Number}, dy, inds::Integer...) = fill!(similar(x, typeof(dy), axes(x)), false)
_setindex_zero(x::AbstractArray{<:Number}, dy, inds::Integer...) = fill!(similar(x, eltype(dy), axes(x)), false)
_setindex_zero(x::AbstractArray{<:Number}, dy, inds...) = fill!(similar(x, eltype(dy), axes(x)), false)
function _setindex_zero(x::AbstractArray, dy, inds::Integer...)
# This allows for types which don't define zero (like Vector) and types whose zero special (like Tangent),
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20 changes: 20 additions & 0 deletions test/rulesets/Base/indexing.jl
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Expand Up @@ -166,6 +166,26 @@
@test Array(y3) == Array(x_23_gpu)[1, [1,1,2]]
@test unthunk(bk3(jl(ones(3)))[2]) == jl([2 1 0; 0 0 0])
end

# https://github.com/JuliaDiff/ChainRules.jl/issues/697
@testset "pulling back mixes AbstractZero and co" begin
_, back = rrule(getindex, [1], 1)
_, gs = back(@not_implemented("test"))
@test unthunk(gs[2]) isa NotImplemented

_, back2 = rrule(getindex, [1], 1)
gs2 = back2([NoTangent()])
@test unthunk(gs2[2]) isa NoTangent

# Above are not realistic since they should be solved by the AD not calling with that
# but more realistic is ended up with a tangent that has a mixture of things
_, back3 = rrule(getindex, [10, 0, -1], :)
gs3 = back3([2.0, NoTangent(), (@not_implemented "test2")])
num, notan, not_imp = unthunk(gs3[2])
@test num isa Real
@test iszero(notan) # We don't care if this gets converted to a 0.0
@test not_imp isa NotImplemented
end
end

@testset "first & tail" begin
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