Error: type Array has no field data

New to Julia
1

Hi everyone.

I was doing the course on Flux.jl by JuliaAcademy. When I run the following code,

using Plots
plot()

contour!(0:0.01:1, 0:0.01:1, (x,y)->model([x,y]).data[1], levels=[0.5, 0.51], color = cgrad([:blue, :blue]))
contour!(0:0.01:1, 0:0.01:1, (x,y)->model([x,y]).data[2], levels=[0.5,0.51], color = cgrad([:green, :green]))
contour!(0:0.01:1, 0:0.01:1, (x,y)->model([x,y]).data[3], levels=[0.5,0.51], color = cgrad([:red, :red]))

scatter!(first.(x_apples), last.(x_apples), m=:cross, label="apples", color = :blue)
scatter!(first.(x_bananas), last.(x_bananas), m=:circle, label="bananas", color = :green)
scatter!(first.(x_grapes), last.(x_grapes), m=:square, label="grapes", color = :red)

I’m getting the following error:

type Array has no field data

Stacktrace:
 [1] getproperty(::Array{Float32,1}, ::Symbol) at ./Base.jl:20
 [2] (::var"#23#24")(::Float64, ::Float64) at ./In[46]:4
 [3] Surface(::var"#23#24", ::StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}, ::StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}) at /home/g2-test/.julia/packages/Plots/CFRKM/src/components.jl:660
 [4] macro expansion at /home/g2-test/.julia/packages/Plots/CFRKM/src/series.jl:467 [inlined]
 [5] apply_recipe(::Dict{Symbol,Any}, ::StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}, ::StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}, ::Function) at /home/g2-test/.julia/packages/RecipesBase/G4s6f/src/RecipesBase.jl:279
 [6] _process_userrecipes(::Plots.Plot{Plots.GRBackend}, ::Dict{Symbol,Any}, ::Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},var"#23#24"}) at /home/g2-test/.julia/packages/Plots/CFRKM/src/pipeline.jl:85
 [7] _plot!(::Plots.Plot{Plots.GRBackend}, ::Dict{Symbol,Any}, ::Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},var"#23#24"}) at /home/g2-test/.julia/packages/Plots/CFRKM/src/plot.jl:178
 [8] #plot!#143(::Base.Iterators.Pairs{Symbol,Any,Tuple{Symbol,Symbol,Symbol},NamedTuple{(:levels, :color, :seriestype),Tuple{Array{Float64,1},ColorGradient,Symbol}}}, ::typeof(plot!), ::Plots.Plot{Plots.GRBackend}, ::StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}, ::Vararg{Any,N} where N) at /home/g2-test/.julia/packages/Plots/CFRKM/src/plot.jl:158
 [9] (::RecipesBase.var"#kw##plot!")(::NamedTuple{(:levels, :color, :seriestype),Tuple{Array{Float64,1},ColorGradient,Symbol}}, ::typeof(plot!), ::Plots.Plot{Plots.GRBackend}, ::StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}, ::Vararg{Any,N} where N) at ./none:0
 [10] #plot!#142(::Base.Iterators.Pairs{Symbol,Any,Tuple{Symbol,Symbol,Symbol},NamedTuple{(:levels, :color, :seriestype),Tuple{Array{Float64,1},ColorGradient,Symbol}}}, ::typeof(plot!), ::StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}, ::Vararg{Any,N} where N) at /home/g2-test/.julia/packages/Plots/CFRKM/src/plot.jl:150
 [11] (::RecipesBase.var"#kw##plot!")(::NamedTuple{(:levels, :color, :seriestype),Tuple{Array{Float64,1},ColorGradient,Symbol}}, ::typeof(plot!), ::StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}, ::StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}, ::Vararg{Any,N} where N) at ./none:0
 [12] #contour!#438(::Base.Iterators.Pairs{Symbol,Any,Tuple{Symbol,Symbol},NamedTuple{(:levels, :color),Tuple{Array{Float64,1},ColorGradient}}}, ::typeof(contour!), ::StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}, ::Vararg{Any,N} where N) at /home/g2-test/.julia/packages/RecipesBase/G4s6f/src/RecipesBase.jl:394
 [13] (::Plots.var"#kw##contour!")(::NamedTuple{(:levels, :color),Tuple{Array{Float64,1},ColorGradient}}, ::typeof(contour!), ::StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}, ::Vararg{Any,N} where N) at ./none:0
 [14] top-level scope at In[46]:3

I’m using Flux v0.10.1. This error is because of the version change. I think that contour! is making the error.

Can someone help me to solve this.

2

Hi,

Tl;dr: Remove .data in the first set of plot calls.

In flux < 0.10 all arrays are wrapped in a TrackedArray for automatic differentiation. TrackedArray adds some stuff needed to keep track of gradients and the actual array can be accessed by the property sometrackedarray.data.

As of 0.10 this has changed and your models output normal arrays and thus you dont need to do anything special to plot them (or access the data in general).

1 Like
3

When I remove .data, I’m getting this error:

MethodError: Cannot `convert` an object of type Array{Float32,1} to an object of type Float64
Closest candidates are:
  convert(::Type{Float64}, !Matched::LLVM.ConstantFP) at /home/g2-test/.julia/packages/LLVM/DAnFH/src/core/value/constant.jl:85
  convert(::Type{T}, !Matched::T) where T<:Number at number.jl:6
  convert(::Type{T}, !Matched::Number) where T<:Number at number.jl:7
  ...

Stacktrace:
 [1] setindex!(::Array{Float64,2}, ::Array{Float32,1}, ::Int64) at ./array.jl:782
 [2] Surface(::var"#25#26", ::StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}, ::StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}) at /home/g2-test/.julia/packages/Plots/CFRKM/src/components.jl:660
 [3] macro expansion at /home/g2-test/.julia/packages/Plots/CFRKM/src/series.jl:467 [inlined]
 [4] apply_recipe(::Dict{Symbol,Any}, ::StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}, ::StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}, ::Function) at /home/g2-test/.julia/packages/RecipesBase/G4s6f/src/RecipesBase.jl:279
 [5] _process_userrecipes(::Plots.Plot{Plots.GRBackend}, ::Dict{Symbol,Any}, ::Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},var"#25#26"}) at /home/g2-test/.julia/packages/Plots/CFRKM/src/pipeline.jl:85
 [6] _plot!(::Plots.Plot{Plots.GRBackend}, ::Dict{Symbol,Any}, ::Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},var"#25#26"}) at /home/g2-test/.julia/packages/Plots/CFRKM/src/plot.jl:178
 [7] #plot!#143(::Base.Iterators.Pairs{Symbol,Any,Tuple{Symbol,Symbol,Symbol},NamedTuple{(:levels, :color, :seriestype),Tuple{Array{Float64,1},ColorGradient,Symbol}}}, ::typeof(plot!), ::Plots.Plot{Plots.GRBackend}, ::StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}, ::Vararg{Any,N} where N) at /home/g2-test/.julia/packages/Plots/CFRKM/src/plot.jl:158
 [8] (::RecipesBase.var"#kw##plot!")(::NamedTuple{(:levels, :color, :seriestype),Tuple{Array{Float64,1},ColorGradient,Symbol}}, ::typeof(plot!), ::Plots.Plot{Plots.GRBackend}, ::StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}, ::Vararg{Any,N} where N) at ./none:0
 [9] #plot!#142(::Base.Iterators.Pairs{Symbol,Any,Tuple{Symbol,Symbol,Symbol},NamedTuple{(:levels, :color, :seriestype),Tuple{Array{Float64,1},ColorGradient,Symbol}}}, ::typeof(plot!), ::StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}, ::Vararg{Any,N} where N) at /home/g2-test/.julia/packages/Plots/CFRKM/src/plot.jl:150
 [10] (::RecipesBase.var"#kw##plot!")(::NamedTuple{(:levels, :color, :seriestype),Tuple{Array{Float64,1},ColorGradient,Symbol}}, ::typeof(plot!), ::StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}, ::StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}, ::Vararg{Any,N} where N) at ./none:0
 [11] #contour!#438(::Base.Iterators.Pairs{Symbol,Any,Tuple{Symbol,Symbol},NamedTuple{(:levels, :color),Tuple{Array{Float64,1},ColorGradient}}}, ::typeof(contour!), ::StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}, ::Vararg{Any,N} where N) at /home/g2-test/.julia/packages/RecipesBase/G4s6f/src/RecipesBase.jl:394
 [12] (::Plots.var"#kw##contour!")(::NamedTuple{(:levels, :color),Tuple{Array{Float64,1},ColorGradient}}, ::typeof(contour!), ::StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}, ::Vararg{Any,N} where N) at ./none:0
 [13] top-level scope at In[47]:3
4

Did you by any chance also remove the brackets?