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Issues Reported by JET #353
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││┌ inference_sol(icnf::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}, mode::TrainMode, prob::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}) @ ContinuousNormalizingFlows /home/runner/work/ContinuousNormalizingFlows.jl/ContinuousNormalizingFlows.jl/src/base.jl:133
│││┌ -(A::Vector{Float32}, B::SubArray{Float32, 1, 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}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Int64}, false}) @ Base ./arraymath.jl:8
││││┌ broadcast_preserving_zero_d(::typeof(-), ::Vector{Float32}, ::SubArray{Float32, 1, 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}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Int64}, false}) @ Base.Broadcast ./broadcast.jl:862
│││││┌ materialize(bc::Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1}, Nothing, typeof(-), Tuple{Vector{Float32}, SubArray{Float32, 1, 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}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Int64}, false}}}) @ Base.Broadcast ./broadcast.jl:873
││││││┌ copy(bc::Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1}, Tuple{Base.OneTo{Int64}}, typeof(-), Tuple{Vector{Float32}, SubArray{Float32, 1, 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}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Int64}, false}}}) @ Base.Broadcast ./broadcast.jl:898
│││││││┌ copyto!(dest::Vector{Float32}, bc::Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1}, Tuple{Base.OneTo{Int64}}, typeof(-), Tuple{Vector{Float32}, SubArray{Float32, 1, 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}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Int64}, false}}}) @ Base.Broadcast ./broadcast.jl:926
││││││││┌ copyto!(dest::Vector{Float32}, bc::Base.Broadcast.Broadcasted{Nothing, Tuple{Base.OneTo{Int64}}, typeof(-), Tuple{Vector{Float32}, SubArray{Float32, 1, 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}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Int64}, false}}}) @ Base.Broadcast ./broadcast.jl:970
│││││││││┌ preprocess(dest::Vector{Float32}, bc::Base.Broadcast.Broadcasted{Nothing, Tuple{Base.OneTo{Int64}}, typeof(-), Tuple{Vector{Float32}, SubArray{Float32, 1, 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}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Int64}, false}}}) @ Base.Broadcast ./broadcast.jl:953
││││││││││┌ preprocess_args(dest::Vector{Float32}, args::Tuple{Vector{Float32}, SubArray{Float32, 1, 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}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Int64}, false}}) @ Base.Broadcast ./broadcast.jl:956
│││││││││││┌ preprocess_args(dest::Vector{Float32}, args::Tuple{SubArray{Float32, 1, 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}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Int64}, false}}) @ Base.Broadcast ./broadcast.jl:957
││││││││││││┌ preprocess(dest::Vector{Float32}, x::SubArray{Float32, 1, 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}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Int64}, false}) @ Base.Broadcast ./broadcast.jl:954
│││││││││││││┌ broadcast_unalias(dest::Vector{Float32}, src::SubArray{Float32, 1, 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}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Int64}, false}) @ Base.Broadcast ./broadcast.jl:947
││││││││││││││┌ unalias(dest::Vector{Float32}, A::SubArray{Float32, 1, 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}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Int64}, false}) @ Base ./abstractarray.jl:1482
│││││││││││││││┌ unaliascopy(A::SubArray{Float32, 1, 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}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Int64}, false}) @ Base ./subarray.jl:105
││││││││││││││││┌ unaliascopy(A::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}) @ Base ./abstractarray.jl:1499
│││││││││││││││││┌ copy(VA::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}) @ RecursiveArrayTools /home/runner/.julia/packages/RecursiveArrayTools/X30HP/src/vector_of_array.jl:351
││││││││││││││││││┌ 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
│││││││││││││││││││ 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)
││││││││││││││││││└──────────────────── |
prbzrg
added
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Nov 29, 2023
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