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9 | 9 | K = 12 |
10 | 10 | NK = N * K |
11 | 11 |
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| 12 | +@testset "(Unbatched) FunctionOperator ND array" begin |
| 13 | + N1, N2, N3 = 3, 4, 5 |
| 14 | + M1, M2, M3 = 4, 5, 6 |
| 15 | + |
| 16 | + p = nothing |
| 17 | + t = 0.0 |
| 18 | + α = rand() |
| 19 | + β = rand() |
| 20 | + |
| 21 | + for (sz_in, sz_out) in ( |
| 22 | + ((N1, N2, N3), (N1, N2, N3)), # equal size |
| 23 | + ((N1, N2, N3), (M1, M2, M3)), # different size |
| 24 | + ) |
| 25 | + N = prod(sz_in) |
| 26 | + M = prod(sz_out) |
| 27 | + |
| 28 | + A = rand(M, N) |
| 29 | + u = rand(sz_in... ) |
| 30 | + v = rand(sz_out...) |
| 31 | + |
| 32 | + _mul(A, u) = reshape(A * vec(u), sz_out) |
| 33 | + f(u, p, t) = _mul(A, u) |
| 34 | + f(du, u, p, t) = (mul!( vec(du), A, vec(u)); du) |
| 35 | + |
| 36 | + kw = (;) # FunctionOp kwargs |
| 37 | + |
| 38 | + if sz_in == sz_out |
| 39 | + F = lu(A) |
| 40 | + _div(A, v) = reshape(A \ vec(v), sz_in) |
| 41 | + fi(u, p, t) = _div(A, u) |
| 42 | + fi(du, u, p, t) = (ldiv!(vec(du), F, vec(u)); du) |
| 43 | + |
| 44 | + kw = (; op_inverse = fi) |
| 45 | + end |
| 46 | + |
| 47 | + L = FunctionOperator(f, u, v; kw...) |
| 48 | + L = cache_operator(L, u) |
| 49 | + |
| 50 | + @test _mul(A, u) ≈ L(u, p, t) ≈ L * u ≈ mul!(zero(v), L, u) |
| 51 | + @test α * _mul(A, u)+ β * v ≈ mul!(copy(v), L, u, α, β) |
| 52 | + |
| 53 | + if sz_in == sz_out |
| 54 | + @test _div(A, v) ≈ L \ v ≈ ldiv!(zero(u), L, v) ≈ ldiv!(L, copy(v)) |
| 55 | + end |
| 56 | + end |
| 57 | + |
| 58 | +end |
| 59 | + |
12 | 60 | @testset "(Unbatched) FunctionOperator" begin |
13 | 61 | u = rand(N, K) |
14 | 62 | p = nothing |
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