example does not work under Julia >= 1.0

[obviousnic]

I made some obvious syntax changes to get the example to run under julia 1.3/Knet 132,
but it fails with this error

ERROR: LoadError: MethodError: Cannot `convert` an object of type UnitRange{Int64} to an object of type Colon
Closest candidates are:
  convert(::Type{T}, ::T) where T at essentials.jl:167
Stacktrace:
 [1] convert(::Type{Tuple{Colon,UnitRange{Int64},Colon,Colon}}, ::Tuple{UnitRange{Int64},Colon,Colon,Colon}) at ./essentials.jl:304
 [2] setindex!(::Array{Tuple{Colon,UnitRange{Int64},Colon,Colon},1}, ::Tuple{UnitRange{Int64},Colon,Colon,Colon}, ::Int64) at ./array.jl:766
 [3] copyto!(::Array{Tuple{Colon,UnitRange{Int64},Colon,Colon},1}, ::Int64, ::Array{Tuple{UnitRange{Int64},Colon,Colon,Colon},1}, ::Int64, ::Int64) at ./abstractarray.jl:842
 [4] append!(::Array{Tuple{Colon,UnitRange{Int64},Colon,Colon},1}, ::Array{Tuple{UnitRange{Int64},Colon,Colon,Colon},1}) at ./array.jl:895
 [5] addto!(::AutoGrad.Sparse{Float64,4}, ::AutoGrad.Sparse{Float64,4}) at /root/.julia/packages/AutoGrad/pTNVv/src/addto.jl:44
 [6] #differentiate#3(::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}, ::typeof(AutoGrad.differentiate), ::Function, ::Param{KnetArray{Float64,4}}, ::Vararg{Any,N} where N) at /root/.julia/packages/AutoGrad/pTNVv/src/core.jl:166
 [7] differentiate(::Function, ::Param{KnetArray{Float64,4}}, ::Vararg{Any,N} where N) at /root/.julia/packages/AutoGrad/pTNVv/src/core.jl:135
 [8] (::getfield(AutoGrad, Symbol("##gradfun#6#8")){typeof(loss),Int64,Bool})(::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}, ::getfield(AutoGrad, Symbol("#gradfun#7")){getfield(AutoGrad, Symbol("##gradfun#6#8")){typeof(loss),Int64,Bool}}, ::KnetArray{Float64,4}, ::Vararg{Any,N} where N) at /root/.julia/packages/AutoGrad/pTNVv/src/core.jl:225
 [9] (::getfield(AutoGrad, Symbol("#gradfun#7")){getfield(AutoGrad, Symbol("##gradfun#6#8")){typeof(loss),Int64,Bool}})(::KnetArray{Float64,4}, ::Vararg{Any,N} where N) at /root/.julia/packages/AutoGrad/pTNVv/src/core.jl:221
 [10] style_transfer(::String, ::String, ::Int64, ::Int64, ::Int64, ::Float64, ::NTuple{5,Int64}, ::Array{Float64,1}, ::Float64, ::Bool) at /work/neural_style_transfer.jl:365
 [11] style_transfer(::String, ::String, ::Int64, ::Int64, ::Int64, ::Float64, ::NTuple{5,Int64}, ::Array{Float64,1}, ::Float64) at /work/neural_style_transfer.jl:329
 [12] top-level scope at util.jl:156
 [13] include at ./boot.jl:328 [inlined]
 [14] include_relative(::Module, ::String) at ./loading.jl:1094
 [15] include(::Module, ::String) at ./Base.jl:31
 [16] include(::String) at ./client.jl:431
 [17] top-level scope at REPL[1]:1
in expression starting at /work/neural_style_transfer.jl:397

[cemilcengiz]

Hi, can you please share more details about the problem, and the full notebook you are working on?

[obviousnic]

Helo, thank you   I am attaching a notebook that shows the problem. In this notebook I modified your code to remove the obvious syntax errors fur julia1+.   It produces the autograd related error when it gets to the last cell, when running under Julia1.3.   (Under Julia1.02, the version of imagenet.jl that it finds is not updated to julia1+, so there are additional errors there).   I had also tried to modify to use the newer @diff style autograd interface, which did not work either (I think it gave the same erorr).     Sent: Tuesday, December 31, 2019 at 1:31 AM From: "cemilcengiz" <[email protected]> To: KnetML/Neural-Style-Transfer <[email protected]> Cc: obviousnic <[email protected]>, Author <[email protected]> Subject: Re: [KnetML/Neural-Style-Transfer] example does not work under Julia >= 1.0 (#3) Hi, can you please share more details about the problem, and the full notebook you are working on? — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe.

[cemilcengiz]

Hi, apparently you failed to attach the notebook. Can you try adding the code to the comment or sharing it with gist instead?

[obviousnic]

  Oh sorry for that.   Now it is attached I hope :)   Sent: Sunday, January 05, 2020 at 7:14 AM From: "cemilcengiz" <[email protected]> To: KnetML/Neural-Style-Transfer <[email protected]> Cc: obviousnic <[email protected]>, Author <[email protected]> Subject: Re: [KnetML/Neural-Style-Transfer] example does not work under Julia >= 1.0 (#3) Hi, apparently you failed to attach the notebook. Can you try adding the code to the comment or sharing it with gist instead? — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe.

[cemilcengiz]

Nope, I have still not received it. Maybe, attachment is not supported for github issue replies via e-mail.

[obviousnic]

That is strange. Yes I guess attachments are not possible.   Anyway, it is easy to see the problem. Just try to run your notebook inside Julia1.3  (or any >= 1.0), there are several problems.   Some are just syntax changes from 0.6, but the autodiff error I cannot figure out.       Sent: Saturday, January 11, 2020 at 8:14 AM From: "cemilcengiz" <[email protected]> To: KnetML/Neural-Style-Transfer <[email protected]> Cc: obviousnic <[email protected]>, Author <[email protected]> Subject: Re: [KnetML/Neural-Style-Transfer] example does not work under Julia >= 1.0 (#3) Nope, I have still not received it. Maybe, attachment is not supported for github issue replies via e-mail. — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe.