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Tweak matricization overloads #192

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Merged
mtfishman merged 1 commit into from
Dec 5, 2025
+19 −5
Merged

Tweak matricization overloads #192

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4 changes: 2 additions & 2 deletions Project.toml
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Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
name = "BlockSparseArrays"
uuid = "2c9a651f-6452-4ace-a6ac-809f4280fbb4"
authors = ["ITensor developers <[email protected]> and contributors"]
version = "0.10.14"
version = "0.10.15"

[deps]
Adapt = "79e6a3ab-5dfb-504d-930d-738a2a938a0e"
Expand Down Expand Up @@ -42,7 +42,7 @@ MapBroadcast = "0.1.5"
MatrixAlgebraKit = "0.6"
SparseArraysBase = "0.7.1"
SplitApplyCombine = "1.2.3"
TensorAlgebra = "0.6"
TensorAlgebra = "0.6.2"
Test = "1.10"
TypeParameterAccessors = "0.4.1"
julia = "1.10"
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20 changes: 17 additions & 3 deletions ext/BlockSparseArraysTensorAlgebraExt/BlockSparseArraysTensorAlgebraExt.jl
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Expand Up @@ -8,13 +8,27 @@ using TensorAlgebra: TensorAlgebra, BlockReshapeFusion, BlockedTuple, matricize,
matricize_axes, tensor_product_axis, unmatricize

function TensorAlgebra.tensor_product_axis(
::BlockReshapeFusion, r1::BlockUnitRange, r2::BlockUnitRange
style::BlockReshapeFusion, side::Val{:codomain}, r1::BlockUnitRange, r2::BlockUnitRange
)
return tensor_product_blockrange(style, side, r1, r2)
end
function TensorAlgebra.tensor_product_axis(
style::BlockReshapeFusion, side::Val{:domain}, r1::BlockUnitRange, r2::BlockUnitRange
)
return tensor_product_blockrange(style, side, r1, r2)
end
function tensor_product_blockrange(
::BlockReshapeFusion, side::Val, r1::BlockUnitRange, r2::BlockUnitRange
)
(isone(first(r1)) && isone(first(r2))) ||
throw(ArgumentError("Only one-based axes are supported"))
blockaxpairs = Iterators.product(eachblockaxes1(r1), eachblockaxes1(r2))
blockaxs = vec(splat(tensor_product_axis).(blockaxpairs))
return blockrange(blockaxs)
blockaxs = map(blockaxpairs) do (b1, b2)
# TODO: Store a FusionStyle for the blocks in `BlockReshapeFusion`
# and use that here.
return tensor_product_axis(side, b1, b2)
end
return blockrange(vec(blockaxs))
end

function TensorAlgebra.matricize(
Expand Down
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