chore: bump CUDA to v6 #82
gdalleAnnotations
5 errors and 1 warning
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Documentation
Process completed with exit code 1.
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Documentation:
../../../.julia/packages/Documenter/AXNMp/src/utilities/utilities.jl#L47
failed to run `@example` block in docs/src/tutorial.md:129-131
```@example tutorial
objective_value(x_jump, milp)
```
exception =
UndefVarError: `x_jump` not defined in `Main.__atexample__named__tutorial`
Suggestion: check for spelling errors or missing imports.
Stacktrace:
[1] top-level scope
@ tutorial.md:130
[2] eval(m::Module, e::Any)
@ Core ./boot.jl:489
[3] #61
@ ~/.julia/packages/Documenter/AXNMp/src/expander_pipeline.jl:879 [inlined]
[4] cd(f::Documenter.var"#61#62"{Module, Expr}, dir::String)
@ Base.Filesystem ./file.jl:112
[5] (::Documenter.var"#59#60"{Documenter.Page, Module, Expr})()
@ Documenter ~/.julia/packages/Documenter/AXNMp/src/expander_pipeline.jl:878
[6] (::IOCapture.var"#12#13"{Type{InterruptException}, Documenter.var"#59#60"{Documenter.Page, Module, Expr}, IOContext{Base.PipeEndpoint}, IOContext{Base.PipeEndpoint}, IOContext{Base.PipeEndpoint}, IOContext{Base.PipeEndpoint}})()
@ IOCapture ~/.julia/packages/IOCapture/MR051/src/IOCapture.jl:170
[7] with_logstate(f::IOCapture.var"#12#13"{Type{InterruptException}, Documenter.var"#59#60"{Documenter.Page, Module, Expr}, IOContext{Base.PipeEndpoint}, IOContext{Base.PipeEndpoint}, IOContext{Base.PipeEndpoint}, IOContext{Base.PipeEndpoint}}, logstate::Base.CoreLogging.LogState)
@ Base.CoreLogging ./logging/logging.jl:542
[8] with_logger(f::Function, logger::Base.CoreLogging.ConsoleLogger)
@ Base.CoreLogging ./logging/logging.jl:653
[9] capture(f::Documenter.var"#59#60"{Documenter.Page, Module, Expr}; rethrow::Type, color::Bool, passthrough::Bool, capture_buffer::IOBuffer, io_context::Vector{Any})
@ IOCapture ~/.julia/packages/IOCapture/MR051/src/IOCapture.jl:167
[10] runner(::Type{Documenter.Expanders.ExampleBlocks}, node::MarkdownAST.Node{Nothing}, page::Documenter.Page, doc::Documenter.Document)
@ Documenter ~/.julia/packages/Documenter/AXNMp/src/expander_pipeline.jl:877
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Documentation:
../../../.julia/packages/Documenter/AXNMp/src/utilities/utilities.jl#L47
failed to run `@example` block in docs/src/tutorial.md:118-127
```@example tutorial
model = JuMP.read_from_file(path; format = MOI.FileFormats.FORMAT_MPS)
JuMP.set_optimizer(model, CoolPDLP.Optimizer)
JuMP.set_silent(model)
JuMP.set_attribute(model, "termination_reltol", 1.0e-6)
JuMP.set_attribute(model, "matrix_type", GPUSparseMatrixCSR)
JuMP.set_attribute(model, "backend", JLBackend())
JuMP.optimize!(model)
x_jump = JuMP.value.(JuMP.all_variables(model))
```
exception =
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:44
[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/ZRJ3p/src/host/indexing.jl:58 [inlined]
[6] randn!(rng::StableRNGs.LehmerRNG, A::JLArrays.JLArray{Float64, 1})
@ Random /opt/hostedtoolcache/julia/1.12.6/x64/share/julia/stdlib/v1.12/Random/src/normal.jl:230
[7] macro expansion
@ ~/work/CoolPDLP.jl/CoolPDLP.jl/src/utils/linalg.jl:101 [inlined]
[8] spectral_norm(K::GPUSparseMatrixCSR{Float64, Int64, JLArrays.JLArray{Float64, 1}, JLArrays.JLArray{Int64, 1}}, Kᵀ::GPUSparseMatrixCSR{Float64, Int64, JLArrays.JLArray{Float64, 1}, JLArrays.JLArray{Int64, 1}}; kwargs::@kwargs{})
@ CoolPDLP ./none:0
[9] spectral_norm
@ ./none:-1 [inlined]
[10] macro expansion
@ ~/work/CoolPDLP.jl/CoolPDLP.jl/src/components/step_size.jl:25 [inlined]
[11] fixed_stepsize
@ ./none:0 [inlined]
[12] macro expansion
@ ~/work/CoolPDLP.jl/CoolPDLP.jl/src/algorithms/pdlp.jl:55 [inlined]
[13] initialize(milp::MILP{Float64, JLArrays.JLArray{Float64, 1}, GPUSparseMatrixCSR{Float64, Int64, JLArrays.JLArray{Float64, 1}, JLArrays.JLArray{Int64, 1}}, GPUSparseMatrixCSR{Float64, Int64, JLArrays.JLArray{Float64, 1}, JLArrays.JLArray{Int64, 1}}, JLArrays.JLArray{Bool, 1}}, sol::PrimalDualSolution{Float64, JLArrays.JLArray{Float64, 1}}, algo::CoolPDLP.Algorithm{:PDLP, Float64, Int64, GPUSparseMatrixCSR, JLArrays.JLBackend}; starting_time::Float64)
@ CoolPDLP ./none:0
[14] initialize
@ ./none:-1 [inlined]
[15] macro expansion
@ ~/work/CoolPDLP.jl/CoolPDLP.jl/src/algorithms/common.jl:193 [inlined]
[16] solve(milp_init_cpu::MILP{Float64, Vector{Float64}, SparseArrays.SparseMatrixCSC{Float64, Int64}, SparseArrays.SparseMatrixCSC{Float64, Int64}, Vector{Bool}}, sol_init_cpu::PrimalDualSolution{Float64, Vector{Float64}}, algo::CoolPDLP.Algorithm{:PDLP, Float64, Int64, GPUSparseMatrixCSR, JLArrays.JLBackend})
@ CoolPDLP ./none:0
[17] macro expansion
@ ~/work/CoolPDLP.jl/CoolPDLP.jl/src/algorithms/common.jl:208 [inlined]
[18] solve(milp_init_cpu::MILP{Float64, Vector{Float64}, SparseArrays.SparseMatrixCSC{Float64, Int64}, SparseArrays.SparseMatrixCSC{Float64, Int64}, Vector{Bool}}, algo::CoolPDLP.Algorithm{:PDLP, Float64, Int64, GPUSparseMatrixCSR, JLArrays.JLBackend})
@ CoolPDLP ./none:0
[19] optimize!(dest::CoolPDLP.Optimizer{Float64}, fcache::MathOptInterface.Utilities.UniversalFallback{MathOptInterface.Utilities.GenericModel{Float64, MathOptInterface.Utilities.ObjectiveContainer{Float64}, MathOptInterface.Utilities.VariablesContainer{Float64}, MathOptInterface.Utilities.MatrixOfConstraints{
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Documentation:
../../../.julia/packages/Documenter/AXNMp/src/utilities/utilities.jl#L47
failed to run `@example` block in docs/src/tutorial.md:110-112
```@example tutorial
objective_value(Array(sol_gpu.x), milp)
```
exception =
UndefVarError: `sol_gpu` not defined in `Main.__atexample__named__tutorial`
Suggestion: check for spelling errors or missing imports.
Stacktrace:
[1] top-level scope
@ tutorial.md:111
[2] eval(m::Module, e::Any)
@ Core ./boot.jl:489
[3] #61
@ ~/.julia/packages/Documenter/AXNMp/src/expander_pipeline.jl:879 [inlined]
[4] cd(f::Documenter.var"#61#62"{Module, Expr}, dir::String)
@ Base.Filesystem ./file.jl:112
[5] (::Documenter.var"#59#60"{Documenter.Page, Module, Expr})()
@ Documenter ~/.julia/packages/Documenter/AXNMp/src/expander_pipeline.jl:878
[6] (::IOCapture.var"#12#13"{Type{InterruptException}, Documenter.var"#59#60"{Documenter.Page, Module, Expr}, IOContext{Base.PipeEndpoint}, IOContext{Base.PipeEndpoint}, IOContext{Base.PipeEndpoint}, IOContext{Base.PipeEndpoint}})()
@ IOCapture ~/.julia/packages/IOCapture/MR051/src/IOCapture.jl:170
[7] with_logstate(f::IOCapture.var"#12#13"{Type{InterruptException}, Documenter.var"#59#60"{Documenter.Page, Module, Expr}, IOContext{Base.PipeEndpoint}, IOContext{Base.PipeEndpoint}, IOContext{Base.PipeEndpoint}, IOContext{Base.PipeEndpoint}}, logstate::Base.CoreLogging.LogState)
@ Base.CoreLogging ./logging/logging.jl:542
[8] with_logger(f::Function, logger::Base.CoreLogging.ConsoleLogger)
@ Base.CoreLogging ./logging/logging.jl:653
[9] capture(f::Documenter.var"#59#60"{Documenter.Page, Module, Expr}; rethrow::Type, color::Bool, passthrough::Bool, capture_buffer::IOBuffer, io_context::Vector{Any})
@ IOCapture ~/.julia/packages/IOCapture/MR051/src/IOCapture.jl:167
[10] runner(::Type{Documenter.Expanders.ExampleBlocks}, node::MarkdownAST.Node{Nothing}, page::Documenter.Page, doc::Documenter.Document)
@ Documenter ~/.julia/packages/Documenter/AXNMp/src/expander_pipeline.jl:877
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Documentation:
../../../.julia/packages/Documenter/AXNMp/src/utilities/utilities.jl#L47
failed to run `@example` block in docs/src/tutorial.md:103-106
```@example tutorial
sol_gpu, stats_gpu = solve(milp, algo_gpu)
sol_gpu.x
```
exception =
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:44
[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/ZRJ3p/src/host/indexing.jl:58 [inlined]
[6] randn!(rng::StableRNGs.LehmerRNG, A::JLArrays.JLArray{Float32, 1})
@ Random /opt/hostedtoolcache/julia/1.12.6/x64/share/julia/stdlib/v1.12/Random/src/normal.jl:230
[7] macro expansion
@ ~/work/CoolPDLP.jl/CoolPDLP.jl/src/utils/linalg.jl:101 [inlined]
[8] spectral_norm(K::GPUSparseMatrixCSR{Float32, Int32, JLArrays.JLArray{Float32, 1}, JLArrays.JLArray{Int32, 1}}, Kᵀ::GPUSparseMatrixCSR{Float32, Int32, JLArrays.JLArray{Float32, 1}, JLArrays.JLArray{Int32, 1}}; kwargs::@kwargs{})
@ CoolPDLP ./none:0
[9] spectral_norm
@ ./none:-1 [inlined]
[10] macro expansion
@ ~/work/CoolPDLP.jl/CoolPDLP.jl/src/components/step_size.jl:25 [inlined]
[11] fixed_stepsize
@ ./none:0 [inlined]
[12] macro expansion
@ ~/work/CoolPDLP.jl/CoolPDLP.jl/src/algorithms/pdlp.jl:55 [inlined]
[13] initialize(milp::MILP{Float32, JLArrays.JLArray{Float32, 1}, GPUSparseMatrixCSR{Float32, Int32, JLArrays.JLArray{Float32, 1}, JLArrays.JLArray{Int32, 1}}, GPUSparseMatrixCSR{Float32, Int32, JLArrays.JLArray{Float32, 1}, JLArrays.JLArray{Int32, 1}}, JLArrays.JLArray{Bool, 1}}, sol::PrimalDualSolution{Float32, JLArrays.JLArray{Float32, 1}}, algo::CoolPDLP.Algorithm{:PDLP, Float32, Int32, GPUSparseMatrixCSR, JLArrays.JLBackend}; starting_time::Float64)
@ CoolPDLP ./none:0
[14] initialize
@ ./none:-1 [inlined]
[15] macro expansion
@ ~/work/CoolPDLP.jl/CoolPDLP.jl/src/algorithms/common.jl:193 [inlined]
[16] solve(milp_init_cpu::MILP{Float64, Vector{Float64}, SparseArrays.SparseMatrixCSC{Float64, Int64}, SparseArrays.SparseMatrixCSC{Float64, Int64}, Vector{Bool}}, sol_init_cpu::PrimalDualSolution{Float64, Vector{Float64}}, algo::CoolPDLP.Algorithm{:PDLP, Float32, Int32, GPUSparseMatrixCSR, JLArrays.JLBackend})
@ CoolPDLP ./none:0
[17] macro expansion
@ ~/work/CoolPDLP.jl/CoolPDLP.jl/src/algorithms/common.jl:208 [inlined]
[18] solve(milp_init_cpu::MILP{Float64, Vector{Float64}, SparseArrays.SparseMatrixCSC{Float64, Int64}, SparseArrays.SparseMatrixCSC{Float64, Int64}, Vector{Bool}}, algo::CoolPDLP.Algorithm{:PDLP, Float32, Int32, GPUSparseMatrixCSR, JLArrays.JLBackend})
@ CoolPDLP ./none:0
[19] top-level scope
@ tutorial.md:104
[20] eval(m::Module, e::Any)
@ Core ./boot.jl:489
[21] #61
@ ~/.julia/packages/Documenter/AXNMp/src/expander_pipeline.jl:879 [inlined]
[22] cd(f::Documenter.var"#61#62"{Module, Expr}, dir::String)
@ Base.Filesystem ./file.jl:112
[23] (::Documenter.var"#59#60"{Documenter.Page, Module, Expr})()
@ Documenter ~/.julia/packages/Documenter/AXNMp/src/expander_pipeline.jl:878
[24] (::IOCapture.var"#12#13"{Type{InterruptException}, Documenter.var"#59#60"{Documenter.Page, Module, Expr}, IOContext{Base.PipeEndpoint}, IOContext{Base.Pipe
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Documentation
Node.js 20 actions are deprecated. The following actions are running on Node.js 20 and may not work as expected: julia-actions/setup-julia@v2. Actions will be forced to run with Node.js 24 by default starting June 2nd, 2026. Node.js 20 will be removed from the runner on September 16th, 2026. Please check if updated versions of these actions are available that support Node.js 24. To opt into Node.js 24 now, set the FORCE_JAVASCRIPT_ACTIONS_TO_NODE24=true environment variable on the runner or in your workflow file. Once Node.js 24 becomes the default, you can temporarily opt out by setting ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION=true. For more information see: https://github.blog/changelog/2025-09-19-deprecation-of-node-20-on-github-actions-runners/
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