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Added additionals adapt statements. #200

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Merged
merged 2 commits into from
Jun 11, 2025
Merged

Added additionals adapt statements. #200

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df9247b
Update adapt.jl
dalviebenu Jun 3, 2025
c335a3a
Update adapt_tests.jl
dalviebenu Jun 3, 2025
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40 changes: 40 additions & 0 deletions src/adapt.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -50,3 +50,43 @@ function Adapt.adapt_structure(to,v::PSparseMatrix)
row_par = v.row_partition
PSparseMatrix(matrix_partition,row_par,col_par,v.assembled)
end

function Adapt.adapt_structure(to,v::PVector)
new_local_values = map(local_values(v)) do myvals
Adapt.adapt_structure(to,myvals)
end
new_cache = Adapt.adapt_structure(to,v.cache)
new_v = PVector(new_local_values,v.index_partition, new_cache)
new_v
end

function Adapt.adapt_structure(to, cache::SplitVectorAssemblyCache)
# Adapt all the components
neighbors_snd = cache.neighbors_snd
neighbors_rcv = cache.neighbors_rcv
buffer_snd = map(cache.buffer_snd) do ja
Adapt.adapt_structure(to, ja)
end
buffer_rcv = map(cache.buffer_rcv) do ja
Adapt.adapt_structure(to, ja)
end
exchange_setup = cache.exchange_setup
ghost_indices_snd = map(cache.ghost_indices_snd) do ja
Adapt.adapt_structure(to, ja)
end
own_indices_rcv = map(cache.own_indices_rcv) do ja
Adapt.adapt_structure(to, ja)
end

# Create new cache with adapted components
SplitVectorAssemblyCache(
neighbors_snd,
neighbors_rcv,
ghost_indices_snd,
own_indices_rcv,
buffer_snd,
buffer_rcv,
exchange_setup,
false
)
end
16 changes: 13 additions & 3 deletions test/adapt_tests.jl
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Expand Up @@ -14,8 +14,8 @@ function Adapt.adapt_storage(::Type{<:FakeCuVector},x::AbstractArray)
end

function adapt_tests(distribute)

rank = distribute(LinearIndices((2,2)))
parts_per_dir = (2,2)
rank = distribute(LinearIndices(parts_per_dir)

a = [[1,2],[3,4,5],Int[],[3,4]]
b = JaggedArray(a)
Expand Down Expand Up @@ -61,4 +61,14 @@ function adapt_tests(distribute)
@test typeof(val_b) == FakeCuVector{typeof(val_a)}
@test val_b.vector == val_a
end
end

p = prod(parts_per_dir)
ranks = distribute(LinearIndices((p,)))
nodes_per_dir = map(i->2*i,parts_per_dir)
args = laplacian_fdm(nodes_per_dir,parts_per_dir,ranks)
A = psparse(args...) |> fetch
Adapt.adapt(FakeCuVector, A)
b = pzeros(axes(A, 2), split_format=true)
Adapt.adapt(FakeCuVector, b)

end
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