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Add support for Adapt which enables converting tensor networks to GPU #187

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May 30, 2024
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6 changes: 5 additions & 1 deletion Project.toml
Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
name = "ITensorNetworks"
uuid = "2919e153-833c-4bdc-8836-1ea460a35fc7"
authors = ["Matthew Fishman <[email protected]>, Joseph Tindall <[email protected]> and contributors"]
version = "0.11.12"
version = "0.11.13"

[deps]
AbstractTrees = "1520ce14-60c1-5f80-bbc7-55ef81b5835c"
Expand Down Expand Up @@ -36,19 +36,22 @@ TimerOutputs = "a759f4b9-e2f1-59dc-863e-4aeb61b1ea8f"
TupleTools = "9d95972d-f1c8-5527-a6e0-b4b365fa01f6"

[weakdeps]
Adapt = "79e6a3ab-5dfb-504d-930d-738a2a938a0e"
EinExprs = "b1794770-133b-4de1-afb4-526377e9f4c5"
GraphsFlows = "06909019-6f44-4949-96fc-b9d9aaa02889"
OMEinsumContractionOrders = "6f22d1fd-8eed-4bb7-9776-e7d684900715"
Observers = "338f10d5-c7f1-4033-a7d1-f9dec39bcaa0"

[extensions]
ITensorNetworksAdaptExt = "Adapt"
ITensorNetworksEinExprsExt = "EinExprs"
ITensorNetworksGraphsFlowsExt = "GraphsFlows"
ITensorNetworksOMEinsumContractionOrdersExt = "OMEinsumContractionOrders"
ITensorNetworksObserversExt = "Observers"

[compat]
AbstractTrees = "0.4.4"
Adapt = "4"
Combinatorics = "1"
Compat = "3, 4"
DataGraphs = "0.2.3"
Expand Down Expand Up @@ -82,6 +85,7 @@ TupleTools = "1.4"
julia = "1.10"

[extras]
Adapt = "79e6a3ab-5dfb-504d-930d-738a2a938a0e"
EinExprs = "b1794770-133b-4de1-afb4-526377e9f4c5"
GraphsFlows = "06909019-6f44-4949-96fc-b9d9aaa02889"
OMEinsumContractionOrders = "6f22d1fd-8eed-4bb7-9776-e7d684900715"
Expand Down
14 changes: 14 additions & 0 deletions ext/ITensorNetworksAdaptExt/ITensorNetworksAdaptExt.jl
Original file line number Diff line number Diff line change
@@ -0,0 +1,14 @@
module ITensorNetworksAdaptExt
using Adapt: Adapt, adapt
using ITensorNetworks: AbstractITensorNetwork, map_vertex_data_preserve_graph
function Adapt.adapt_structure(to, tn::AbstractITensorNetwork)
# TODO: Define and use:
#
# @preserve_graph map_vertex_data(adapt(to), tn)
#
# or just:
#
# @preserve_graph map(adapt(to), tn)
return map_vertex_data_preserve_graph(adapt(to), tn)
end
end
1 change: 1 addition & 0 deletions test/Project.toml
Original file line number Diff line number Diff line change
@@ -1,5 +1,6 @@
[deps]
AbstractTrees = "1520ce14-60c1-5f80-bbc7-55ef81b5835c"
Adapt = "79e6a3ab-5dfb-504d-930d-738a2a938a0e"
Compat = "34da2185-b29b-5c13-b0c7-acf172513d20"
DataGraphs = "b5a273c3-7e6c-41f6-98bd-8d7f1525a36a"
Dictionaries = "85a47980-9c8c-11e8-2b9f-f7ca1fa99fb4"
Expand Down
5 changes: 5 additions & 0 deletions test/test_ext/Project.toml
Original file line number Diff line number Diff line change
@@ -0,0 +1,5 @@
[deps]
Adapt = "79e6a3ab-5dfb-504d-930d-738a2a938a0e"
ITensorNetworks = "2919e153-833c-4bdc-8836-1ea460a35fc7"
ITensors = "9136182c-28ba-11e9-034c-db9fb085ebd5"
NamedGraphs = "678767b0-92e7-4007-89e4-4527a8725b19"
23 changes: 23 additions & 0 deletions test/test_ext/test_itensornetworksadaptext.jl
Original file line number Diff line number Diff line change
@@ -0,0 +1,23 @@
@eval module $(gensym())
using Adapt: Adapt, adapt
using NamedGraphs.NamedGraphGenerators: named_grid
using ITensorNetworks: random_tensornetwork, siteinds
using ITensors: ITensors
using Test: @test, @testset

struct SinglePrecisionAdaptor end
single_precision(::Type{<:AbstractFloat}) = Float32
single_precision(type::Type{<:Complex}) = complex(single_precision(real(type)))
Adapt.adapt_storage(::SinglePrecisionAdaptor, x) = single_precision(eltype(x)).(x)

@testset "Test ITensorNetworksAdaptExt (eltype=$elt)" for elt in (
Float32, Float64, Complex{Float32}, Complex{Float64}
)
g = named_grid((2, 2))
s = siteinds("S=1/2", g)
tn = random_tensornetwork(elt, s)
@test ITensors.scalartype(tn) === elt
tn′ = adapt(SinglePrecisionAdaptor(), tn)
@test ITensors.scalartype(tn′) === single_precision(elt)
end
end
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