load data that was saved on a x64 system, on a x86 system

[yakir12]

I've saved some data on a x64 system and want to load it on a x86 system (a Raspberry Pi), which I accept might be very challenging. In any case, I got the following error (on the RPI):

julia> @load "tmp.jld2" c
┌ Warning: the following fields are present in type SArray{Tuple{2},Float64,1,2} saved in the file but not present in the type the workspace:
│ 
│ data,
│ 
│ Data in these fields will not be accessible
└ @ JLD2 ~/.julia/packages/JLD2/eU405/src/data.jl:438
┌ Warning: the following fields are present in type LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}} saved in the file but not present in the type the workspace:
│ 
│ parent,
│ 
│ Data in these fields will not be accessible
└ @ JLD2 ~/.julia/packages/JLD2/eU405/src/data.jl:438
┌ Warning: type parameters for Interpolations.BSplineInterpolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,Array{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2},BSpline{Linear},Tuple{Base.OneTo{Int64},Base.OneTo{Int64}}} do not match type Interpolations.BSplineInterpolation in workspace; reconstructing
└ @ JLD2 ~/.julia/packages/JLD2/eU405/src/data.jl:1228
ERROR: MethodError: no method matching Array{Float64,1}(::Array{Float64,1})
Closest candidates are:
  Array{Float64,1}(::AbstractArray{S,N}) where {T, N, S} at array.jl:562
  Array{Float64,1}(::Core.Compiler.BitArray{N}) where {T, N} at bitarray.jl:492
  Array{Float64,1}(::BitArray{N}) where {T, N} at bitarray.jl:492
  ...
Stacktrace:
 [1] convert(::Type{Array{Float64,1}}, ::Array{Float64,1}) at ./array.jl:554
 [2] macro expansion at /home/yakir/.julia/packages/JLD2/eU405/src/data.jl:1384 [inlined]
 [3] jlconvert(::JLD2.ReadRepresentation{NamedTuple{(:tform, :itform, :ϵ),Tuple{Base.var"#66#67"{Interpolations.Extrapolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,ScaledInterpolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,JLD2.ReconstructedTypes.var"##Interpolations.BSplineInterpolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,Array{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2},BSpline{Linear},Tuple{Base.OneTo{Int64},Base.OneTo{Int64}}}#254",BSpline{Linear},Tuple{UnitRange{Int64},UnitRange{Int64}}},BSpline{Linear},Flat{Nothing}}},Base.var"#66#67"{Interpolations.Extrapolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,ScaledInterpolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,JLD2.ReconstructedTypes.var"##Interpolations.BSplineInterpolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,Array{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2},BSpline{Linear},Tuple{Base.OneTo{Int64},Base.OneTo{Int64}}}#254",BSpline{Linear},Tuple{StepRangeLen{Float32,Float64,Float64},StepRangeLen{Float32,Float64,Float64}}},BSpline{Linear},Flat{Nothing}}},Array{Float64,1}}},JLD2.OnDiskRepresentation{(0, 56, 144),Tuple{Base.var"#66#67"{Interpolations.Extrapolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,ScaledInterpolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,JLD2.ReconstructedTypes.var"##Interpolations.BSplineInterpolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,Array{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2},BSpline{Linear},Tuple{Base.OneTo{Int64},Base.OneTo{Int64}}}#254",BSpline{Linear},Tuple{UnitRange{Int64},UnitRange{Int64}}},BSpline{Linear},Flat{Nothing}}},Base.var"#66#67"{Interpolations.Extrapolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,ScaledInterpolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,JLD2.ReconstructedTypes.var"##Interpolations.BSplineInterpolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,Array{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2},BSpline{Linear},Tuple{Base.OneTo{Int64},Base.OneTo{Int64}}}#254",BSpline{Linear},Tuple{StepRangeLen{Float32,Float64,Float64},StepRangeLen{Float32,Float64,Float64}}},BSpline{Linear},Flat{Nothing}}},Any},Tuple{JLD2.OnDiskRepresentation{(0,),Tuple{Interpolations.Extrapolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,ScaledInterpolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,JLD2.ReconstructedTypes.var"##Interpolations.BSplineInterpolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,Array{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2},BSpline{Linear},Tuple{Base.OneTo{Int64},Base.OneTo{Int64}}}#254",BSpline{Linear},Tuple{UnitRange{Int64},UnitRange{Int64}}},BSpline{Linear},Flat{Nothing}}},Tuple{JLD2.OnDiskRepresentation{(0, 56),Tuple{ScaledInterpolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,JLD2.ReconstructedTypes.var"##Interpolations.BSplineInterpolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,Array{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2},BSpline{Linear},Tuple{Base.OneTo{Int64},Base.OneTo{Int64}}}#254",BSpline{Linear},Tuple{UnitRange{Int64},UnitRange{Int64}}},Flat{Nothing}},Tuple{JLD2.OnDiskRepresentation{(0, 24),Tuple{JLD2.ReconstructedTypes.var"##Interpolations.BSplineInterpolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,Array{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2},BSpline{Linear},Tuple{Base.OneTo{Int64},Base.OneTo{Int64}}}#254",Tuple{UnitRange{Int64},UnitRange{Int64}}},Tuple{JLD2.OnDiskRepresentation{(0, 8),Tuple{Any,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}}},Tuple{JLD2.RelOffset,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}}}}(),Tuple{UnitRange{Int64},UnitRange{Int64}}}}(),nothing}}()}}(),JLD2.OnDiskRepresentation{(0,),Tuple{Interpolations.Extrapolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,ScaledInterpolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,JLD2.ReconstructedTypes.var"##Interpolations.BSplineInterpolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,Array{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2},BSpline{Linear},Tuple{Base.OneTo{Int64},Base.OneTo{Int64}}}#254",BSpline{Linear},Tuple{StepRangeLen{Float32,Float64,Float64},StepRangeLen{Float32,Float64,Float64}}},BSpline{Linear},Flat{Nothing}}},Tuple{JLD2.OnDiskRepresentation{(0, 88),Tuple{ScaledInterpolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,JLD2.ReconstructedTypes.var"##Interpolations.BSplineInterpolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,Array{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2},BSpline{Linear},Tuple{Base.OneTo{Int64},Base.OneTo{Int64}}}#254",BSpline{Linear},Tuple{StepRangeLen{Float32,Float64,Float64},StepRangeLen{Float32,Float64,Float64}}},Flat{Nothing}},Tuple{JLD2.OnDiskRepresentation{(0, 24),Tuple{JLD2.ReconstructedTypes.var"##Interpolations.BSplineInterpolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,Array{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2},BSpline{Linear},Tuple{Base.OneTo{Int64},Base.OneTo{Int64}}}#254",Tuple{StepRangeLen{Float32,Float64,Float64},StepRangeLen{Float32,Float64,Float64}}},Tuple{JLD2.OnDiskRepresentation{(0, 8),Tuple{Any,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}}},Tuple{JLD2.RelOffset,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}}}}(),JLD2.OnDiskRepresentation{(0, 32),Tuple{StepRangeLen{Float32,Float64,Float64},StepRangeLen{Float32,Float64,Float64}},Tuple{JLD2.OnDiskRepresentation{(0, 8, 16, 24),Tuple{Float64,Float64,Int64,Int64},Tuple{Float64,Float64,Int64,Int64}}(),JLD2.OnDiskRepresentation{(0, 8, 16, 24),Tuple{Float64,Float64,Int64,Int64},Tuple{Float64,Float64,Int64,Int64}}()}}()}}(),nothing}}()}}(),JLD2.RelOffset}}()}, ::JLD2.JLDFile{JLD2.MmapIO}, ::Ptr{Nothing}, ::JLD2.RelOffset) at /home/yakir/.julia/packages/JLD2/eU405/src/data.jl:1329
 [4] read_scalar at /home/yakir/.julia/packages/JLD2/eU405/src/dataio.jl:37 [inlined]
 [5] read_data(::JLD2.JLDFile{JLD2.MmapIO}, ::JLD2.ReadRepresentation{NamedTuple{(:tform, :itform, :ϵ),Tuple{Base.var"#66#67"{Interpolations.Extrapolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,ScaledInterpolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,JLD2.ReconstructedTypes.var"##Interpolations.BSplineInterpolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,Array{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2},BSpline{Linear},Tuple{Base.OneTo{Int64},Base.OneTo{Int64}}}#254",BSpline{Linear},Tuple{UnitRange{Int64},UnitRange{Int64}}},BSpline{Linear},Flat{Nothing}}},Base.var"#66#67"{Interpolations.Extrapolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,ScaledInterpolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,JLD2.ReconstructedTypes.var"##Interpolations.BSplineInterpolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,Array{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2},BSpline{Linear},Tuple{Base.OneTo{Int64},Base.OneTo{Int64}}}#254",BSpline{Linear},Tuple{StepRangeLen{Float32,Float64,Float64},StepRangeLen{Float32,Float64,Float64}}},BSpline{Linear},Flat{Nothing}}},Array{Float64,1}}},JLD2.OnDiskRepresentation{(0, 56, 144),Tuple{Base.var"#66#67"{Interpolations.Extrapolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,ScaledInterpolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,JLD2.ReconstructedTypes.var"##Interpolations.BSplineInterpolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,Array{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2},BSpline{Linear},Tuple{Base.OneTo{Int64},Base.OneTo{Int64}}}#254",BSpline{Linear},Tuple{UnitRange{Int64},UnitRange{Int64}}},BSpline{Linear},Flat{Nothing}}},Base.var"#66#67"{Interpolations.Extrapolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,ScaledInterpolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,JLD2.ReconstructedTypes.var"##Interpolations.BSplineInterpolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,Array{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2},BSpline{Linear},Tuple{Base.OneTo{Int64},Base.OneTo{Int64}}}#254",BSpline{Linear},Tuple{StepRangeLen{Float32,Float64,Float64},StepRangeLen{Float32,Float64,Float64}}},BSpline{Linear},Flat{Nothing}}},Any},Tuple{JLD2.OnDiskRepresentation{(0,),Tuple{Interpolations.Extrapolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,ScaledInterpolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,JLD2.ReconstructedTypes.var"##Interpolations.BSplineInterpolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,Array{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2},BSpline{Linear},Tuple{Base.OneTo{Int64},Base.OneTo{Int64}}}#254",BSpline{Linear},Tuple{UnitRange{Int64},UnitRange{Int64}}},BSpline{Linear},Flat{Nothing}}},Tuple{JLD2.OnDiskRepresentation{(0, 56),Tuple{ScaledInterpolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,JLD2.ReconstructedTypes.var"##Interpolations.BSplineInterpolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,Array{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2},BSpline{Linear},Tuple{Base.OneTo{Int64},Base.OneTo{Int64}}}#254",BSpline{Linear},Tuple{UnitRange{Int64},UnitRange{Int64}}},Flat{Nothing}},Tuple{JLD2.OnDiskRepresentation{(0, 24),Tuple{JLD2.ReconstructedTypes.var"##Interpolations.BSplineInterpolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,Array{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2},BSpline{Linear},Tuple{Base.OneTo{Int64},Base.OneTo{Int64}}}#254",Tuple{UnitRange{Int64},UnitRange{Int64}}},Tuple{JLD2.OnDiskRepresentation{(0, 8),Tuple{Any,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}}},Tuple{JLD2.RelOffset,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}}}}(),Tuple{UnitRange{Int64},UnitRange{Int64}}}}(),nothing}}()}}(),JLD2.OnDiskRepresentation{(0,),Tuple{Interpolations.Extrapolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,ScaledInterpolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,JLD2.ReconstructedTypes.var"##Interpolations.BSplineInterpolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,Array{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2},BSpline{Linear},Tuple{Base.OneTo{Int64},Base.OneTo{Int64}}}#254",BSpline{Linear},Tuple{StepRangeLen{Float32,Float64,Float64},StepRangeLen{Float32,Float64,Float64}}},BSpline{Linear},Flat{Nothing}}},Tuple{JLD2.OnDiskRepresentation{(0, 88),Tuple{ScaledInterpolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,JLD2.ReconstructedTypes.var"##Interpolations.BSplineInterpolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,Array{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2},BSpline{Linear},Tuple{Base.OneTo{Int64},Base.OneTo{Int64}}}#254",BSpline{Linear},Tuple{StepRangeLen{Float32,Float64,Float64},StepRangeLen{Float32,Float64,Float64}}},Flat{Nothing}},Tuple{JLD2.OnDiskRepresentation{(0, 24),Tuple{JLD2.ReconstructedTypes.var"##Interpolations.BSplineInterpolation{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2,Array{LinearAlgebra.Adjoint{Float64,SArray{Tuple{2},Float64,1,2}},2},BSpline{Linear},Tuple{Base.OneTo{Int64},Base.OneTo{Int64}}}#254",Tuple{StepRangeLen{Float32,Float64,Float64},StepRangeLen{Float32,Float64,Float64}}},Tuple{JLD2.OnDiskRepresentation{(0, 8),Tuple{Any,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}}},Tuple{JLD2.RelOffset,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}}}}(),JLD2.OnDiskRepresentation{(0, 32),Tuple{StepRangeLen{Float32,Float64,Float64},StepRangeLen{Float32,Float64,Float64}},Tuple{JLD2.OnDiskRepresentation{(0, 8, 16, 24),Tuple{Float64,Float64,Int64,Int64},Tuple{Float64,Float64,Int64,Int64}}(),JLD2.OnDiskRepresentation{(0, 8, 16, 24),Tuple{Float64,Float64,Int64,Int64},Tuple{Float64,Float64,Int64,Int64}}()}}()}}(),nothing}}()}}(),JLD2.RelOffset}}()}, ::Tuple{JLD2.ReadDataspace,JLD2.RelOffset,Int32,UInt16}, ::Array{JLD2.ReadAttribute,1}) at /home/yakir/.julia/packages/JLD2/eU405/src/datasets.jl:170
 [6] read_data(::JLD2.JLDFile{JLD2.MmapIO}, ::JLD2.ReadDataspace, ::UInt8, ::Int64, ::Int64, ::Int32, ::UInt16, ::JLD2.RelOffset, ::Array{JLD2.ReadAttribute,1}) at /home/yakir/.julia/packages/JLD2/eU405/src/datasets.jl:149
 [7] load_dataset(::JLD2.JLDFile{JLD2.MmapIO}, ::JLD2.RelOffset) at /home/yakir/.julia/packages/JLD2/eU405/src/datasets.jl:92
 [8] getindex(::JLD2.Group{JLD2.JLDFile{JLD2.MmapIO}}, ::String) at /home/yakir/.julia/packages/JLD2/eU405/src/groups.jl:108
 [9] read(::JLD2.JLDFile{JLD2.MmapIO}, ::String) at /home/yakir/.julia/packages/JLD2/eU405/src/JLD2.jl:338
 [10] #3 at /home/yakir/.julia/packages/JLD2/eU405/src/loadsave.jl:145 [inlined]
 [11] jldopen(::var"#3#4", ::String; kws::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/yakir/.julia/packages/JLD2/eU405/src/loadsave.jl:4
 [12] jldopen(::Function, ::String) at /home/yakir/.julia/packages/JLD2/eU405/src/loadsave.jl:2
 [13] top-level scope at /home/yakir/.julia/packages/JLD2/eU405/src/loadsave.jl:144

The x64 system:

julia> versioninfo()
Julia Version 1.5.2
Commit 539f3ce943 (2020-09-23 23:17 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: AMD Ryzen Threadripper 2950X 16-Core Processor
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-9.0.1 (ORCJIT, znver1)
Environment:
  JULIA_NUM_THREADS = 16

The x86 system:

julia> versioninfo()
Julia Version 1.5.2
Commit 539f3ce* (2020-09-23 23:17 UTC)
Platform Info:
  OS: Linux (arm-linux-gnueabihf)
  CPU: ARMv7 Processor rev 3 (v7l)
  WORD_SIZE: 32
  LIBM: libopenlibm
  LLVM: libLLVM-9.0.1 (ORCJIT, cortex-a72)

[JonasIsensee]

Hm, that might be a bit hard to debug since I don't have access to to a Pi and Travis doesn't seem to have arm32 support (yet).

Can you post the versions of the julia packages involved?
As a base case: can you store and load regular julia types? (Numbers, Strings, Arrays,..)

[yakir12]

Can you post the versions of the julia packages involved?

The packages involved in creating the objects I want to save are:

  [56f22d72] Artifacts v1.3.0
  [13072b0f] AxisAlgorithms v1.0.0
  [70c3cbac] CameraCalibrations v0.1.1 `../../home/yakir/.julia/dev/CameraCalibrations#master`
  [3da002f7] ColorTypes v0.10.9
  [c3611d14] ColorVectorSpace v0.8.6
  [5ae59095] Colors v0.12.4
  [34da2185] Compat v3.23.0
  [e66e0078] CompilerSupportLibraries_jll v0.3.4+0
  [150eb455] CoordinateTransformations v0.6.0
  [9a962f9c] DataAPI v1.3.0
  [864edb3b] DataStructures v0.18.8
  [53c48c17] FixedPointNumbers v0.8.4
  [a2bd30eb] Graphics v1.0.2
  [bbac6d45] IdentityRanges v0.3.1
  [a09fc81d] ImageCore v0.8.18
  [02fcd773] ImageTransformations v0.8.6
  [a98d9a8b] Interpolations v0.12.10
  [692b3bcd] JLLWrappers v1.1.3
  [10e44e05] MATLAB v0.7.3
  [dbb5928d] MappedArrays v0.2.2
  [e1d29d7a] Missings v0.4.4
  [e94cdb99] MosaicViews v0.2.3
  [77ba4419] NaNMath v0.3.4
  [6fe1bfb0] OffsetArrays v1.3.1
  [efe28fd5] OpenSpecFun_jll v0.5.3+4
  [bac558e1] OrderedCollections v1.3.1
  [5432bcbf] PaddedViews v0.5.6
  [c84ed2f1] Ratios v0.4.0
  [189a3867] Reexport v0.2.0
  [ae029012] Requires v1.1.0
  [6038ab10] Rotations v1.0.1
  [a2af1166] SortingAlgorithms v0.3.1
  [276daf66] SpecialFunctions v0.10.3
  [90137ffa] StaticArrays v0.12.5
  [2913bbd2] StatsBase v0.33.2
  [efce3f68] WoodburyMatrices v0.5.3
  [2a0f44e3] Base64
  [ade2ca70] Dates
  [8bb1440f] DelimitedFiles
  [8ba89e20] Distributed
  [b77e0a4c] InteractiveUtils
  [76f85450] LibGit2
  [8f399da3] Libdl
  [37e2e46d] LinearAlgebra
  [56ddb016] Logging
  [d6f4376e] Markdown
  [a63ad114] Mmap
  [44cfe95a] Pkg
  [de0858da] Printf
  [3fa0cd96] REPL
  [9a3f8284] Random
  [ea8e919c] SHA
  [9e88b42a] Serialization
  [1a1011a3] SharedArrays
  [6462fe0b] Sockets
  [2f01184e] SparseArrays
  [10745b16] Statistics
  [8dfed614] Test
  [cf7118a7] UUIDs
  [4ec0a83e] Unicode

but the objects themselves are an interpolation object from Interpolations.jl, nothing more.

As a base case: can you store and load regular julia types? (Numbers, Strings, Arrays,..)

Yes, that worked perfectly. I was surprised to see that the type of the loaded numbers was Float64, I thought that because the word size on the Pi was 32 a Float64 wouldn't be possible...

[yakir12]

(as a workaround, I realize now, that I can simply save the matrices I use as input to the interpolations, transfer those, and then interpolate locally on the Pi)

[JonasIsensee]

Yes, that worked perfectly. I was surprised to see that the type of the loaded numbers was Float64, I thought that because the word size on the Pi was 32 a Float64 wouldn't be possible...

Well the normal egisters are 32bit but that doesn't mean the system can't work with doubles.

[yakir12]

TIL.

Well, let me know if there's anything I can run/test on the Pi. The JLD2 tests passed:

(jl_Mccv94) pkg> test JLD2                                                                                                                                                                                                                                                                                                                                                                                                               
    Testing JLD2                                                                                                                                                                                                                                                                    
Downloading artifact: XML2                                                                                                                                                                                                                                                                                                  
Downloading artifact: libsvm                                                                                                                                                                                                                                                                                                                                                                                                             
Downloading artifact: Libiconv                                                                                                                                                                                                                                                                                                                                                                                                           
Status `/tmp/jl_YznIPS/Project.toml`                                                                                                                                                                                                                                                                                                                                                                                                     
  [944b1d66] CodecZlib v0.7.0                                                                                                                                                                                                                                                                                                           
  [864edb3b] DataStructures v0.18.8                                                                                                                                                                                                                                                                                                                             
  [5789e2e9] FileIO v1.4.4                                                                                                                                                                                                                                                                                                  
  [033835bb] JLD2 v0.2.4                                                                                                                                                                                                                                                                                            
  [b1bec4e5] LIBSVM v0.5.0                                                                                                                                                                                                                                                                                                  
  [1914dd2f] MacroTools v0.5.6                                                                                                                                                                                                                                                                                                              
  [ce6b1742] RDatasets v0.6.10                                                                                                                                                                                                                                                                                                              
  [ae029012] Requires v1.1.0                                                                                                                                                                                                                                                                                                        
  [2a0f44e3] Base64                                                                                                                                                                                                                                                                             
  [37e2e46d] LinearAlgebra                                                                                                                                                                                                                                                                                                  
  [a63ad114] Mmap                                                                                                                                                                                                                                                                       
  [44cfe95a] Pkg                                                                                                                                                                                                                                                                    
  [de0858da] Printf                                                                                                                                                                                                                                                                             
  [9a3f8284] Random                                                                                                                                                                                                                                                                             
  [8dfed614] Test                                                                                                                                                                                                                                                                       
  [cf7118a7] UUIDs                                                                                                                                                                                                                                                                          
Status `/tmp/jl_YznIPS/Manifest.toml`                                                                                                                                                                                                                                                                                                                                   
  [56f22d72] Artifacts v1.3.0                                                                                                                                                                                                                                                                                                           
  [336ed68f] CSV v0.7.7                                                                                                                                                                                                                                                                                         
  [324d7699] CategoricalArrays v0.8.3                                                                                                                                                                                                                                                                                                                                   
  [944b1d66] CodecZlib v0.7.0                                                                                                                                                                                                                                                                                                           
  [34da2185] Compat v3.23.0                                                                                                                                                                                                                                                                                                     
  [e66e0078] CompilerSupportLibraries_jll v0.3.4+0                                                                                                                                                                                                                                                                                                                                                                          
  [9a962f9c] DataAPI v1.3.0                                                                                                                                                                                                                                                                                                     
  [a93c6f00] DataFrames v0.21.8                                                                                                                                                                                                                                                                                                                 
  [864edb3b] DataStructures v0.18.8                                                                                                                                                                                                                                                                                                                             
  [e2d170a0] DataValueInterfaces v1.0.0                                                                                                                                                                                                                                                                                                                                         
  [e2ba6199] ExprTools v0.1.3                                                                                                                                                                                                                                                                                                           
  [8f5d6c58] EzXML v1.1.0                                                                                                                                                                                                                                                                                               
  [5789e2e9] FileIO v1.4.4     
  [41ab1584] InvertedIndices v1.0.0
  [82899510] IteratorInterfaceExtensions v1.0.0
  [033835bb] JLD2 v0.2.4
  [692b3bcd] JLLWrappers v1.1.3
  [682c06a0] JSON v0.21.1
  [2d691ee1] LIBLINEAR v0.5.1
  [b1bec4e5] LIBSVM v0.5.0
  [94ce4f54] Libiconv_jll v1.16.0+7
  [1914dd2f] MacroTools v0.5.6
  [e1d29d7a] Missings v0.4.4
  [78c3b35d] Mocking v0.7.1
  [bac558e1] OrderedCollections v1.3.1
  [69de0a69] Parsers v1.0.11
  [2dfb63ee] PooledArrays v0.5.3
  [df47a6cb] RData v0.7.2
  [ce6b1742] RDatasets v0.6.10
  [3cdcf5f2] RecipesBase v1.1.0
  [189a3867] Reexport v0.2.0
  [ae029012] Requires v1.1.0
  [6e75b9c4] ScikitLearnBase v0.5.0
  [91c51154] SentinelArrays v1.2.16
  [a2af1166] SortingAlgorithms v0.3.1
  [856f2bd8] StructTypes v1.1.0
  [3783bdb8] TableTraits v1.0.0
  [bd369af6] Tables v1.1.0
  [f269a46b] TimeZones v1.4.0
  [3bb67fe8] TranscodingStreams v0.9.5
  [02c8fc9c] XML2_jll v2.9.10+3
  [83775a58] Zlib_jll v1.2.11+18
  [08558c22] libsvm_jll v3.24.0+1
  [2a0f44e3] Base64
  [ade2ca70] Dates
  [8bb1440f] DelimitedFiles
  [8ba89e20] Distributed
  [9fa8497b] Future
  [b77e0a4c] InteractiveUtils
  [76f85450] LibGit2
  [8f399da3] Libdl
  [37e2e46d] LinearAlgebra
  [56ddb016] Logging
  [d6f4376e] Markdown
  [a63ad114] Mmap
  [44cfe95a] Pkg
  [de0858da] Printf
  [3fa0cd96] REPL
  [9a3f8284] Random
  [ea8e919c] SHA
  [9e88b42a] Serialization
  [1a1011a3] SharedArrays
  [6462fe0b] Sockets
  [2f01184e] SparseArrays
  [10745b16] Statistics
  [8dfed614] Test
  [cf7118a7] UUIDs
  [4ec0a83e] Unicode
[ Info: [/tmp/jl_GuNIva/test.jld]: Using JLD2.MmapIO, uncompressed
[ Info:   Write time:
 82.961881 seconds (77.60 M allocations: 2.783 GiB, 6.62% gc time)
[ Info:   Read time:
 38.701871 seconds (23.14 M allocations: 884.971 MiB, 3.89% gc time)
[ Info: [/tmp/jl_GuNIva/test.jld]: Using JLD2.MmapIO, compressed
[ Info:   Write time:
  2.417989 seconds (1.01 M allocations: 29.334 MiB, 1.50% gc time)
[ Info:   Read time:
  0.726540 seconds (426.64 k allocations: 33.474 MiB, 8.91% gc time)
[ Info: [/tmp/jl_GuNIva/test.jld]: Using IOStream, uncompressed
[ Info:   Write time:
 50.121601 seconds (32.99 M allocations: 1.150 GiB, 3.37% gc time)
[ Info:   Read time:
 27.487602 seconds (12.84 M allocations: 604.155 MiB, 5.20% gc time)
[ Info: [/tmp/jl_GuNIva/test.jld]: Using IOStream, compressed
[ Info:   Write time:
  5.381136 seconds (1.72 M allocations: 39.825 MiB, 0.55% gc time)
[ Info:   Read time:
  3.083511 seconds (430.87 k allocations: 137.088 MiB, 2.88% gc time)
┌ Warning: Assignment to `fn` in soft scope is ambiguous because a global variable by the same name exists: `fn` will be treated as a new local. Disambiguate by using `local fn` to suppress this warning or `global fn` to assign to the existing global variable.
└ @ ~/.julia/packages/JLD2/eU405/test/consistency.jl:4
┌ Warning: Assignment to `f` in soft scope is ambiguous because a global variable by the same name exists: `f` will be treated as a new local. Disambiguate by using `local f` to suppress this warning or `global f` to assign to the existing global variable.
└ @ ~/.julia/packages/JLD2/eU405/test/consistency.jl:7
┌ Warning: mmaparrays keyword is currently ignored
└ @ JLD2 ~/.julia/packages/JLD2/eU405/src/JLD2.jl:213
┌ Warning: Opening file with ArgumentError failed, falling back to JLD2.MmapIO
└ @ JLD2 ~/.julia/packages/JLD2/eU405/src/JLD2.jl:196
[ Info: The next error message (involving "loading nothing") is a sign of normal operation
Error encountered while loading nothing.

Fatal error:
Test Summary:             | Pass  Total
Recursive Immutable Types |    2      2
Test Summary:     | Pass  Total
UnionAll in Union |    6      6
Test Summary:          | Pass  Total
Tuple of Empty Structs |    1      1
Test Summary: | Pass  Total
save and load |    2      2
Test Summary:   | Pass  Total
name collisions |    1      1
Test Summary:  | Pass  Total
Nested modules |    9      9
Test Summary:   | Pass  Total
isreconstructed |    4      4
Test Summary:     | Pass  Total
Legacy Union Type |    2      2
Test Summary:               | Pass  Total
Inline Union Representation |    8      8
    Testing JLD2 tests passed 

[JonasIsensee]

Thank you. That is encouraging.
However that doesn't make debugging any easier..

[giordano]

Hm, that might be a bit hard to debug since I don't have access to to a Pi and Travis doesn't seem to have arm32 support (yet).

If the point is only having a 32-bit Julia, you can run it in a 64-bit system. You can do it also in your system

[yakir12]

@giordano! I'll try that, thanks!

I tried with just a simple interpolation, to see if it's something I did wrong, but I still got an error:

On the 64bit machine:

julia> using Interpolations, JLD2

julia> itp = interpolate(rand(5), BSpline(Constant()))
5-element interpolate(::Array{Float64,1}, BSpline(Constant())) with element type Float64:
 0.16954863299640688
 0.3699804287056041
 0.8058618306707772
 0.5374586523587721
 0.9815571359190969

julia> @save "tmp.jld2" itp

transferring tmp.jld2 to the RPI, and on it:

julia> using Interpolations, JLD2

julia> @load "tmp.jld2" itp
┌ Warning: type parameters for Interpolations.BSplineInterpolation{Float64,1,Array{Float64,1},BSpline{Constant},Tuple{Base.OneTo{Int64}}} do not match type Interpolations.BSplineInterpolation in workspace; reconstructing
└ @ JLD2 ~/.julia/packages/JLD2/eU405/src/data.jl:1228
1-element Array{Symbol,1}:
 :itp

julia> itp(2)
ERROR: MethodError: objects of type JLD2.ReconstructedTypes.var"##Interpolations.BSplineInterpolation{Float64,1,Array{Float64,1},BSpline{Constant},Tuple{Base.OneTo{Int64}}}#253" are not callable
Stacktrace:
 [1] top-level scope at REPL[5]:1

and just for sanity check, also on the RPI:

julia> tp = interpolate(rand(5), BSpline(Constant()))
5-element interpolate(::Array{Float64,1}, BSpline(Constant())) with element type Float64:
 0.2675248049547967
 0.6269665797531416
 0.5666702105974513
 0.6034297069709096
 0.5616248225362976

julia> tp(3)
0.5666702105974513

[JonasIsensee]

@yakir12 Ha, this is getting interesting!

Do you think you could additionally try opening the file on your desktop with a 32bit julia binary?

[yakir12]

Gladly!

Exact same error.

[JonasIsensee]

Hm, I've spent a few minutes now to try and understand the problem but I'd say that JLD2 and Julia are really not made for this.

I haven't been able to pin it down precisely but the fact that Int == Int32 in 32bit and Int == Int64 in 64bit is problematic.
Suppose your libary defines

struct A
    x::Int
end

then you can get an error by doing
@save "test.jld2" a=A(typemax(Int32)+1)

julia> @load "test.jld2"
ERROR: Inexact Error: trunc(Int32, 2147483648)

because JLD2 will try to reconstruct the struct by doing T(fields...) which triggers conversion.

If on the other hand there is some kind of parametric type restriction based on Int

struct B{T <: Int}
    x::T
end

then you get a struct with a type that cannot possibly be reconstructed in a julia session with different word size.
(Int32 <: Int on 32bit and Int64 <: Int on 64bit)

[yakir12]

Following @giordano's advice, I attempted to run the process that creates the objects on the 64bit computer from a 32bit Julia. But the problem is that this process requires the camera calibration toolbox in Matlab (which is why I'm not doing this on the RPI). Calling Matlab (via MATLAB.jl) from a 32bit Julia didn't work because I don't have a 32bit Matlab installed (they stopped releasing those versions 2015). So that's impossible.

My only way forward, which I'll now attempt, is to save a midpoint in the form of matrices etc that the RPI can load and take it from there.

[jebej]

Hm, I've spent a few minutes now to try and understand the problem but I'd say that JLD2 and Julia are really not made for this.

I haven't been able to pin it down precisely but the fact that Int == Int32 in 32bit and Int == Int64 in 64bit is problematic.
Suppose your libary defines

struct A
    x::Int
end

then you can get an error by doing
@save "test.jld2" a=A(typemax(Int32)+1)

julia> @load "test.jld2"
ERROR: Inexact Error: trunc(Int32, 2147483648)

because JLD2 will try to reconstruct the struct by doing T(fields...) which triggers conversion.

This seems strange, on 64bit Int === Int64, so if the struct is properly serialized, what should be loaded, even on a 32bit version of Julia should be the same exact type (that is with an Int64 field).

[jebej]

Yes, that worked perfectly. I was surprised to see that the type of the loaded numbers was Float64, I thought that because the word size on the Pi was 32 a Float64 wouldn't be possible...

Floating point types have no relation to the machine word size: https://stackoverflow.com/questions/44729392/generic-float-type-in-julia-language

[yakir12]

OK! I managed to save my data in a basic enough format so that it loads on the RPI, I reconstruct it as needed, and I can now use it there.

To summarize: It seems like saving and loading basic Julia types cross 32/64bit architectures (forgive me if the terminology is wrong) works fine but anything more complicated doesn't. I suggest stating so in the docs/readme and closing this issue.