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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,88 @@ | ||
| using TestEnv: TestEnv; | ||
| TestEnv.activate("TensorKit"); | ||
| using TensorKit | ||
| using TensorOperations | ||
| using ChainRulesCore | ||
| using ChainRulesTestUtils | ||
| using Random | ||
| using FiniteDifferences | ||
| using Test | ||
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| ## Test utility | ||
| # ------------- | ||
| function ChainRulesTestUtils.rand_tangent(rng::AbstractRNG, x::AbstractTensorMap) | ||
| return TensorMap(randn, scalartype(x), space(x)) | ||
| end | ||
| function ChainRulesTestUtils.test_approx(actual::AbstractTensorMap, expected::AbstractTensorMap, msg=""; kwargs...) | ||
| ChainRulesTestUtils.@test_msg msg isapprox(actual, expected; kwargs...) | ||
| end | ||
| # function ChainRulesTestUtils.test_approx(actual::NTuple{N}, expected::NTuple{N}, msg=""; | ||
| # kwargs...) where {N} | ||
| # @test all(isapprox.(actual, expected; Ref(kwargs)...)) | ||
| # end | ||
| function FiniteDifferences.to_vec(t::T) where {T<:TensorKit.TrivialTensorMap} | ||
| vec, from_vec = to_vec(t.data) | ||
| return vec, x -> T(from_vec(x), codomain(t), domain(t)) | ||
| end | ||
| function FiniteDifferences.to_vec(t::AbstractTensorMap) | ||
| vec, from_vec′ = to_vec(blocks(t)) | ||
| function from_vec(x) | ||
| blocks′ = from_vec′(x) | ||
| t′ = similar(t) | ||
| for (c, b) in blocks(t′) | ||
| b .= blocks′[c] | ||
| end | ||
| return t′ | ||
| end | ||
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| return vec, from_vec | ||
| end | ||
| FiniteDifferences.to_vec(t::TensorKit.AdjointTensorMap) = to_vec(copy(t)) | ||
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| ChainRulesCore.rrule(::typeof(TensorKit.tsvd), args...) = ChainRulesCore.rrule(tsvd!, args...) | ||
| function ChainRulesCore.rrule(::typeof(TensorKit.leftorth), args...; kwargs...) | ||
| return ChainRulesCore.rrule(leftorth!, args...; kwargs...) | ||
| end | ||
| function ChainRulesCore.rrule(::typeof(TensorKit.rightorth), args...; kwargs...) | ||
| return ChainRulesCore.rrule(rightorth!, args...; kwargs...) | ||
| end | ||
| ## | ||
|
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| ChainRulesTestUtils.test_method_tables() | ||
|
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| Vtr = (ℂ^3, (ℂ^4)', ℂ^5, ℂ^6, (ℂ^7)') | ||
| T = Float64 | ||
|
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| A = TensorMap(randn, T, Vtr[1] ⊗ Vtr[2] ← Vtr[3] ⊗ Vtr[4] ⊗ Vtr[5]) | ||
| B = TensorMap(randn, T, space(A)) | ||
| test_rrule(+, A, B) | ||
| test_rrule(-, A, B) | ||
| C = TensorMap(randn, T, domain(A), codomain(A)) | ||
| test_rrule(*, A, C) | ||
| α = randn(T) | ||
| test_rrule(*, α, A) | ||
| test_rrule(*, A, α) | ||
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| test_rrule(permute, A, ((1, 3, 2), (5, 4))) | ||
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| D = Tensor(randn, T, ProductSpace{ComplexSpace,0}()) | ||
| test_rrule(TensorKit.scalar, D) | ||
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| # LinearAlgebra | ||
| # ------------- | ||
| using LinearAlgebra | ||
| for i in 1:3 | ||
| E = TensorMap(randn, T, ⊗(Vtr[1:i]...) ← ⊗(Vtr[1:i]...)) | ||
| test_rrule(tr, E) | ||
| end | ||
|
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| test_rrule(adjoint, A) | ||
| test_rrule(norm, A, 2) | ||
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| test_rrule(tsvd, A; atol=1e-6) | ||
| test_rrule(leftorth, A; fkwargs=(;alg = TensorKit.QR())) | ||
| test_rrule(leftorth, A; fkwargs=(;alg = TensorKit.QRpos())) | ||
| test_rrule(rightorth, A; fkwargs=(;alg = TensorKit.LQ())) | ||
| test_rrule(rightorth, A; fkwargs=(;alg = TensorKit.LQpos())) |