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[WIP] Eager contraction sequence/order optimization #21

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[WIP] Eager contraction sequence/order optimization #21

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84e7454
Add evaluation order optimization
mtfishman Nov 6, 2025
1eeac5c
Progress using eager evaluation in contract_network
mtfishman Nov 6, 2025
85e04eb
Refactor
mtfishman Nov 6, 2025
321dfda
Fix load order
mtfishman Nov 6, 2025
8a250a0
Kwarg rangling
mtfishman Nov 6, 2025
5bcd80f
Refactor TensorNetwork constructors
mtfishman Nov 7, 2025
5b074f1
Try fixing tests
mtfishman Nov 8, 2025
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4 changes: 4 additions & 0 deletions Project.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -7,7 +7,9 @@ version = "0.1.15"
AbstractTrees = "1520ce14-60c1-5f80-bbc7-55ef81b5835c"
Adapt = "79e6a3ab-5dfb-504d-930d-738a2a938a0e"
BackendSelection = "680c2d7c-f67a-4cc9-ae9c-da132b1447a5"
Combinatorics = "861a8166-3701-5b0c-9a16-15d98fcdc6aa"
DataGraphs = "b5a273c3-7e6c-41f6-98bd-8d7f1525a36a"
DerivableInterfaces = "6c5e35bf-e59e-4898-b73c-732dcc4ba65f"
DiagonalArrays = "74fd4be6-21e2-4f6f-823a-4360d37c7a77"
Dictionaries = "85a47980-9c8c-11e8-2b9f-f7ca1fa99fb4"
Graphs = "86223c79-3864-5bf0-83f7-82e725a168b6"
Expand All @@ -31,7 +33,9 @@ ITensorNetworksNextTensorOperationsExt = "TensorOperations"
AbstractTrees = "0.4.5"
Adapt = "4.3"
BackendSelection = "0.1.6"
Combinatorics = "1"
DataGraphs = "0.2.7"
DerivableInterfaces = "0.5.5"
DiagonalArrays = "0.3.23"
Dictionaries = "0.4.5"
Graphs = "1.13.1"
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18 changes: 13 additions & 5 deletions ext/ITensorNetworksNextTensorOperationsExt/ITensorNetworksNextTensorOperationsExt.jl
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@@ -1,16 +1,24 @@
module ITensorNetworksNextTensorOperationsExt

using BackendSelection: @Algorithm_str, Algorithm
using ITensorNetworksNext: ITensorNetworksNext, contraction_order
using NamedDimsArrays: inds
using ITensorNetworksNext: ITensorNetworksNext, contraction_sequence_to_expr
using TensorOperations: TensorOperations, optimaltree

function ITensorNetworksNext.contraction_sequence(::Algorithm"optimal", tn::Vector{<:AbstractArray})
network = collect.(inds.(tn))
#Converting dims to Float64 to minimize overflow issues
function contraction_order_to_expr(seq)
return seq isa AbstractVector ? prod(contraction_order_to_expr, seq) : symnameddims(seq)
end

function ITensorNetworksNext.contraction_order(alg::Algorithm"optimal", tn)
ts = [tn[i] for i in eachindex(tn)]
network = collect.(inds.(ts))
# Converting dims to Float64 to minimize overflow issues
inds_to_dims = Dict(i => Float64(length(i)) for i in unique(reduce(vcat, network)))
seq, _ = optimaltree(network, inds_to_dims)
return contraction_sequence_to_expr(seq)
# TODO: Map the integer indices back to the original tensor network vertices.
expr = contraction_order_to_expr(seq)
subs = Dict(symnameddims(i) => symnameddims(eachindex(tn)[i]) for i in eachindex(ts))
return substitute(expr, subs)
end

end
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