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Extending scatter! to work with CUDA sparse arrays #648

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Extending scatter! to work with CUDA sparse arrays #648

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472122e
Expanded dispatch of scatter! to include AbstractCuSparseArray
alonsoC1s Nov 14, 2025
cfccdb3
Fix incorrect import
alonsoC1s Nov 14, 2025
1551922
restore formatting
alonsoC1s Nov 14, 2025
c749dfc
Typos
alonsoC1s Nov 14, 2025
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20 changes: 13 additions & 7 deletions ext/NNlibCUDAExt/scatter.jl
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Original file line number Diff line number Diff line change
@@ -1,4 +1,5 @@
# supported op: +, -, *, /, max, min, &, |, mean
import CUDA.CUSPARSE: AbstractCuSparseArray

function scatter_kernel!(op::OP, dst, src, idx) where OP
index = threadIdx().x + (blockIdx().x - 1) * blockDim().x
Expand Down Expand Up @@ -43,7 +44,10 @@ function scatter_kernel!(op::OP, dst, src, idx::CUDA.CuDeviceArray{<:CartesianIn
return nothing
end

function NNlib.scatter!(op::OP, dst::AnyCuArray, src::AnyCuArray, idx::AnyCuArray) where OP

function NNlib.scatter!(op::OP, dst::Union{AnyCuArray,AbstractCuSparseArray},
src::Union{AnyCuArray,AbstractCuSparseArray},
idx::Union{AnyCuArray,AbstractCuSparseArray}) where OP
dims = NNlib.scatter_dims(dst, src, idx)
args = if dims == 0
max_idx = length(idx)
Expand All @@ -63,7 +67,9 @@ function NNlib.scatter!(op::OP, dst::AnyCuArray, src::AnyCuArray, idx::AnyCuArra
return dst
end

function NNlib.scatter!(op::typeof(mean), dst::AnyCuArray, src::AnyCuArray, idx::AnyCuArray)
function NNlib.scatter!(op::typeof(mean), dst::Union{AnyCuArray,AbstractCuSparseArray},
src::Union{AnyCuArray,AbstractCuSparseArray},
idx::Union{AnyCuArray,AbstractCuSparseArray})
Ns = NNlib.scatter!(+, zero(dst), one.(src), idx)
dst_ = NNlib.scatter!(+, zero(dst), src, idx)
dst .+= NNlib.safe_div.(dst_, Ns)
Expand All @@ -74,7 +80,7 @@ end
## Gradients

function ∇scatter_src_kernel!(op::OP, Δsrc, src, idx,
rev_idx, max_idx, T::Type{TT}) where {OP,TT}
rev_idx, max_idx, T::Type{TT}) where {OP,TT}
index = threadIdx().x + (blockIdx().x - 1) * blockDim().x

@inbounds if index <= max_idx
Expand All @@ -94,7 +100,7 @@ function ∇scatter_src_kernel!(op::OP, Δsrc, src, idx,
end

function ∇scatter_src_kernel!(op::OP, Δsrc, src, idx::CUDA.CuDeviceArray{<:CartesianIndex},
rev_idx, max_idx, T::Type{TT}) where {OP,TT}
rev_idx, max_idx, T::Type{TT}) where {OP,TT}
index = threadIdx().x + (blockIdx().x - 1) * blockDim().x

@inbounds if index <= max_idx
Expand All @@ -114,7 +120,7 @@ function ∇scatter_src_kernel!(op::OP, Δsrc, src, idx::CUDA.CuDeviceArray{<:Ca
end

function ∇scatter_src_kernel!(op::OP, Δsrc, src, idx,
rev_idx, pre_cart_idx, max_dims_idx, max_idx, T::Type{TT}) where {OP,TT}
rev_idx, pre_cart_idx, max_dims_idx, max_idx, T::Type{TT}) where {OP,TT}
index = threadIdx().x + (blockIdx().x - 1) * blockDim().x

@inbounds if index <= max_idx
Expand Down Expand Up @@ -160,8 +166,8 @@ function ∇scatter_src_kernel!(op::OP, Δsrc, src, idx::CUDA.CuDeviceArray{<:Ca
end

function NNlib.∇scatter_src(op::Union{typeof(*),typeof(/)}, Δ, dst,
src::AnyCuArray{Tsrc,Nsrc},
idx::AnyCuArray{Tidx,Nidx}) where {Tsrc,Tidx,Nsrc,Nidx}
src::Union{AnyCuArray{Tsrc,Nsrc},AbstractCuSparseArray},
idx::Union{AnyCuArray{Tidx,Nidx},AbstractCuSparseArray}) where {Tsrc,Tidx,Nsrc,Nidx}
dims = Nsrc - Nidx
Δsrc = NNlib.modify_src(op, NNlib.gather(Δ, idx), src)
rev_idx = NNlib.reverse_indices(idx)
Expand Down
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