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Describe the bug π
I used JET.@test_call on a function, and it printed an issue related to this package.
JET.@test_call
Error β οΈ
βββββββββββββββββββ getproperty(x::SciMLBase.ODESolution{Float32, 3, Vector{Matrix{Float32}}, Nothing, Nothing, Vector{Float32}, Vector{Vector{Matrix{Float32}}}, SciMLBase.ODEProblem{Matrix{Float32}, Tuple{Float32, Float32}, false, ComponentArrays.ComponentVector{Float32, Vector{Float32}, Tuple{ComponentArrays.Axis{(weight = ViewAxis(1:49, ShapedAxis((7, 7), NamedTuple())), bias = ViewAxis(50:56, ShapedAxis((7, 1), NamedTuple())))}}}, SciMLBase.ODEFunction{false, SciMLBase.FullSpecialize, ContinuousNormalizingFlows.var"#11#14"{RNODE{Float32, ZygoteMatrixMode, false, false, false, Lux.Dense{true, typeof(NNlib.tanh_fast), typeof(WeightInitializers.glorot_uniform), typeof(WeightInitializers.zeros32)}, Int64, ComputationalResources.CPU1{Nothing}, Distributions.MvNormal{Float32, PDMats.ScalMat{Float32}, FillArrays.Zeros{Float32, 1, Tuple{Base.OneTo{Int64}}}}, Tuple{Float32, Float32}, Distributions.Uniform{Float32}, AbstractDifferentiation.ReverseRuleConfigBackend{Zygote.ZygoteRuleConfig{Zygote.Context{false}}}, ADTypes.AutoZygote, NamedTuple{(:alg_hints, :save_everystep, :alg, :sensealg, :reltol, :abstol, :maxiters), Tuple{Vector{Symbol}, Bool, OrdinaryDiffEq.VCABM, SciMLSensitivity.InterpolatingAdjoint{0, true, Val{:central}, SciMLSensitivity.ZygoteVJP}, Float32, Float32, Int32}}, Random.TaskLocalRNG}, TrainMode, Matrix{Float32}, NamedTuple{(), Tuple{}}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, OrdinaryDiffEq.VCABM, OrdinaryDiffEq.InterpolationData{SciMLBase.ODEFunction{false, SciMLBase.FullSpecialize, ContinuousNormalizingFlows.var"#11#14"{RNODE{Float32, ZygoteMatrixMode, false, false, false, Lux.Dense{true, typeof(NNlib.tanh_fast), typeof(WeightInitializers.glorot_uniform), typeof(WeightInitializers.zeros32)}, Int64, ComputationalResources.CPU1{Nothing}, Distributions.MvNormal{Float32, PDMats.ScalMat{Float32}, FillArrays.Zeros{Float32, 1, Tuple{Base.OneTo{Int64}}}}, Tuple{Float32, Float32}, Distributions.Uniform{Float32}, AbstractDifferentiation.ReverseRuleConfigBackend{Zygote.ZygoteRuleConfig{Zygote.Context{false}}}, ADTypes.AutoZygote, NamedTuple{(:alg_hints, :save_everystep, :alg, :sensealg, :reltol, :abstol, :maxiters), Tuple{Vector{Symbol}, Bool, OrdinaryDiffEq.VCABM, SciMLSensitivity.InterpolatingAdjoint{0, true, Val{:central}, SciMLSensitivity.ZygoteVJP}, Float32, Float32, Int32}}, Random.TaskLocalRNG}, TrainMode, Matrix{Float32}, NamedTuple{(), Tuple{}}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing}, Vector{Matrix{Float32}}, Vector{Float32}, Vector{Vector{Matrix{Float32}}}, OrdinaryDiffEq.VCABMConstantCache{Vector{Float32}, Vector{Matrix{Float32}}, Matrix{Float32}, Float32, Vector{Float32}}}, SciMLBase.DEStats, Nothing}, s::Symbol) @ SciMLBase /home/runner/.julia/packages/SciMLBase/xja2M/src/solutions/ode_solutions.jl:125 βββββββββββββββββββ type ODESolution has no field sc: SciMLBase.getfield(x::SciMLBase.ODESolution{Float32, 3, Vector{Matrix{Float32}}, Nothing, Nothing, Vector{Float32}, Vector{Vector{Matrix{Float32}}}, SciMLBase.ODEProblem{Matrix{Float32}, Tuple{Float32, Float32}, false, ComponentArrays.ComponentVector{Float32, Vector{Float32}, Tuple{ComponentArrays.Axis{(weight = ViewAxis(1:49, ShapedAxis((7, 7), NamedTuple())), bias = ViewAxis(50:56, ShapedAxis((7, 1), NamedTuple())))}}}, SciMLBase.ODEFunction{false, SciMLBase.FullSpecialize, ContinuousNormalizingFlows.var"#11#14"{RNODE{Float32, ZygoteMatrixMode, false, false, false, Lux.Dense{true, typeof(NNlib.tanh_fast), typeof(WeightInitializers.glorot_uniform), typeof(WeightInitializers.zeros32)}, Int64, ComputationalResources.CPU1{Nothing}, Distributions.MvNormal{Float32, PDMats.ScalMat{Float32}, FillArrays.Zeros{Float32, 1, Tuple{Base.OneTo{Int64}}}}, Tuple{Float32, Float32}, Distributions.Uniform{Float32}, AbstractDifferentiation.ReverseRuleConfigBackend{Zygote.ZygoteRuleConfig{Zygote.Context{false}}}, ADTypes.AutoZygote, NamedTuple{(:alg_hints, :save_everystep, :alg, :sensealg, :reltol, :abstol, :maxiters), Tuple{Vector{Symbol}, Bool, OrdinaryDiffEq.VCABM, SciMLSensitivity.InterpolatingAdjoint{0, true, Val{:central}, SciMLSensitivity.ZygoteVJP}, Float32, Float32, Int32}}, Random.TaskLocalRNG}, TrainMode, Matrix{Float32}, NamedTuple{(), Tuple{}}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, OrdinaryDiffEq.VCABM, OrdinaryDiffEq.InterpolationData{SciMLBase.ODEFunction{false, SciMLBase.FullSpecialize, ContinuousNormalizingFlows.var"#11#14"{RNODE{Float32, ZygoteMatrixMode, false, false, false, Lux.Dense{true, typeof(NNlib.tanh_fast), typeof(WeightInitializers.glorot_uniform), typeof(WeightInitializers.zeros32)}, Int64, ComputationalResources.CPU1{Nothing}, Distributions.MvNormal{Float32, PDMats.ScalMat{Float32}, FillArrays.Zeros{Float32, 1, Tuple{Base.OneTo{Int64}}}}, Tuple{Float32, Float32}, Distributions.Uniform{Float32}, AbstractDifferentiation.ReverseRuleConfigBackend{Zygote.ZygoteRuleConfig{Zygote.Context{false}}}, ADTypes.AutoZygote, NamedTuple{(:alg_hints, :save_everystep, :alg, :sensealg, :reltol, :abstol, :maxiters), Tuple{Vector{Symbol}, Bool, OrdinaryDiffEq.VCABM, SciMLSensitivity.InterpolatingAdjoint{0, true, Val{:central}, SciMLSensitivity.ZygoteVJP}, Float32, Float32, Int32}}, Random.TaskLocalRNG}, TrainMode, Matrix{Float32}, NamedTuple{(), Tuple{}}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing}, Vector{Matrix{Float32}}, Vector{Float32}, Vector{Vector{Matrix{Float32}}}, OrdinaryDiffEq.VCABMConstantCache{Vector{Float32}, Vector{Matrix{Float32}}, Matrix{Float32}, Float32, Vector{Float32}}}, SciMLBase.DEStats, Nothing}, s::Symbol) βββββββββββββββββββββββββββββββββββββββ
Additional context
full stack of it: impICNF/ContinuousNormalizingFlows.jl#353 (comment)
The text was updated successfully, but these errors were encountered:
Can you make an MWE of this? I am unsure what to say about this. There is no field sc, so why would it exist? I'm confused.
sc
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Describe the bug π
I used
JET.@test_call
on a function, and it printed an issue related to this package.Errorβ οΈ
Additional context
full stack of it:
impICNF/ContinuousNormalizingFlows.jl#353 (comment)
The text was updated successfully, but these errors were encountered: