fixed blow up in memory for jacobian structure

[CalebDerrickson]

No description provided.

[CalebDerrickson]

yay.

[amontoison]

You broke the GPU support Caleb:

nohup: les entrées sont ignorées
ERROR: LoadError: Scalar indexing is disallowed.
Invocation of setindex! resulted in scalar indexing of a GPU array.
This is typically caused by calling an iterating implementation of a method.
Such implementations *do not* execute on the GPU, but very slowly on the CPU,
and therefore should be avoided.

If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
to enable scalar iteration globally or for the operations in question.
Stacktrace:
  [1] error(s::String)
    @ Base ./error.jl:35
  [2] errorscalar(op::String)
    @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
  [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
    @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
  [4] assertscalar(op::String)
    @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
  [5] setindex!
    @ ~/.julia/packages/GPUArrays/uiVyU/src/host/indexing.jl:58 [inlined]
  [6] copyto!(dest::CuArray{Int64, 1, CUDA.DeviceMemory}, dstart::Int64, src::UnitRange{Int64}, sstart::Int64, n::Int64)
    @ Base ./abstractarray.jl:1128
  [7] jac_structure!(nlp::VecchiaMLE.VecchiaModel{Float64, CuArray{Float64, 1, CUDA.DeviceMemory}, CuArray{Int64, 1, CUDA.DeviceMemory}, CuArray{Float64, 2, CUDA.DeviceMemory}}, jrows::CuArray{Int64, 1, CUDA.DeviceMemory}, jcols::CuArray{Int64, 1, CUDA.DeviceMemory})
    @ VecchiaMLE ~/Argonne/VecchiaMLE.jl/src/models/VecchiaMLE_NLPModel.jl:219
  [8] create_callback(::Type{MadNLP.SparseCallback}, nlp::VecchiaMLE.VecchiaModel{Float64, CuArray{Float64, 1, CUDA.DeviceMemory}, CuArray{Int64, 1, CUDA.DeviceMemory}, CuArray{Float64, 2, CUDA.DeviceMemory}}; fixed_variable_treatment::Type, equality_treatment::Type{MadNLP.RelaxEquality})
    @ MadNLP ~/.julia/packages/MadNLP/6x6Eg/src/nlpmodels.jl:359
  [9] MadNLP.MadNLPSolver(nlp::VecchiaMLE.VecchiaModel{Float64, CuArray{Float64, 1, CUDA.DeviceMemory}, CuArray{Int64, 1, CUDA.DeviceMemory}, CuArray{Float64, 2, CUDA.DeviceMemory}}; kwargs::@Kwargs{print_level::MadNLP.LogLevels})
    @ MadNLP ~/.julia/packages/MadNLP/6x6Eg/src/IPM/IPM.jl:124
 [10] MadNLPSolver
    @ ~/.julia/packages/MadNLP/6x6Eg/src/IPM/IPM.jl:115 [inlined]
 [11] madnlp(model::VecchiaMLE.VecchiaModel{Float64, CuArray{Float64, 1, CUDA.DeviceMemory}, CuArray{Int64, 1, CUDA.DeviceMemory}, CuArray{Float64, 2, CUDA.DeviceMemory}}; kwargs::@Kwargs{print_level::MadNLP.LogLevels})
    @ MadNLP ~/.julia/packages/MadNLP/6x6Eg/src/IPM/solver.jl:10
 [12] macro expansion
    @ ~/Argonne/VecchiaMLE.jl/src/VecchiaMLE_input.jl:70 [inlined]
 [13] macro expansion
    @ ./timing.jl:421 [inlined]
 [14] ExecuteModel!(iVecchiaMLE::VecchiaMLEInput, pres_chol::Matrix{Float64}, diags::VecchiaMLE.Diagnostics)
    @ VecchiaMLE ~/Argonne/VecchiaMLE.jl/src/VecchiaMLE_input.jl:69
 [15] VecchiaMLE_Run_Analysis!(iVecchiaMLE::VecchiaMLEInput, pres_chol::Matrix{Float64}, diagnostics::VecchiaMLE.Diagnostics)
    @ VecchiaMLE ~/Argonne/VecchiaMLE.jl/src/VecchiaMLE_input.jl:30
 [16] VecchiaMLE_Run(iVecchiaMLE::VecchiaMLEInput)
    @ VecchiaMLE ~/Argonne/VecchiaMLE.jl/src/VecchiaMLE_input.jl:21
 [17] top-level scope
    @ ~/Argonne/VecchiaMLE.jl/benchmarks/benchmarks.jl:31
in expression starting at /home/montalex/Argonne/VecchiaMLE.jl/benchmarks/benchmarks.jl:13

[CalebDerrickson]

All the checks passed so I though it was fine @amontoison