Errors recompiling Keras on Julia 1.3.1

[abianco88]

I see that the package is a bit stale and has not been upgraded to work on Julia 1, however I was able to install it seamlessly in Julia 1.3.1 by executing Pkg.add(Pkg.PackageSpec(url="https://github.com/ayush1999/Keras.jl", rev="master")). Executing using Keras returned errors I wasn't able to fix. The full output is below. Any suggestion is greatly appreciated.

[ Info: Precompiling Keras [031d7243-eb6a-5793-a290-e3c72503329c]
WARNING: importing deprecated binding Compat.Libdl into Blosc.
WARNING: importing deprecated binding Compat.Libdl into Blosc.
WARNING: Method definition iterate(DataFlow.ObjectArraySet{T} where T, Any...) in module DataFlow at /home/adude/.julia/packages/Lazy/mAoZN/src/macros.jl:285 overwritten at /home/adude/.julia/packages/Lazy/mAoZN/src/macros.jl:285.
  ** incremental compilation may be fatally broken for this module **

ERROR: LoadError: LoadError: LoadError: syntax: "..." expression outside call
Stacktrace:
 [1] top-level scope at /home/adude/.julia/packages/Keras/IoYuA/src/ops.jl:13
 [2] include at ./boot.jl:328 [inlined]
 [3] include_relative(::Module, ::String) at ./loading.jl:1105
 [4] include at ./Base.jl:31 [inlined]
 [5] include(::String) at /home/adude/.julia/packages/Keras/IoYuA/src/Keras.jl:1
 [6] top-level scope at /home/adude/.julia/packages/Keras/IoYuA/src/graph.jl:2
 [7] include at ./boot.jl:328 [inlined]
 [8] include_relative(::Module, ::String) at ./loading.jl:1105
 [9] include at ./Base.jl:31 [inlined]
 [10] include(::String) at /home/adude/.julia/packages/Keras/IoYuA/src/Keras.jl:1
 [11] top-level scope at /home/adude/.julia/packages/Keras/IoYuA/src/Keras.jl:4
 [12] include at ./boot.jl:328 [inlined]
 [13] include_relative(::Module, ::String) at ./loading.jl:1105
 [14] include(::Module, ::String) at ./Base.jl:31
 [15] top-level scope at none:2
 [16] eval at ./boot.jl:330 [inlined]
 [17] eval(::Expr) at ./client.jl:425
 [18] top-level scope at ./none:3
in expression starting at /home/adude/.julia/packages/Keras/IoYuA/src/ops.jl:13
in expression starting at /home/adude/.julia/packages/Keras/IoYuA/src/graph.jl:2
in expression starting at /home/adude/.julia/packages/Keras/IoYuA/src/Keras.jl:4
ERROR: Failed to precompile Keras [031d7243-eb6a-5793-a290-e3c72503329c] to /home/adude/.julia/compiled/v1.3/Keras/RBgJ9_OVTEM.ji.
Stacktrace:
 [1] error(::String) at ./error.jl:33
 [2] compilecache(::Base.PkgId, ::String) at ./loading.jl:1283
 [3] _require(::Base.PkgId) at ./loading.jl:1024
 [4] require(::Base.PkgId) at ./loading.jl:922
 [5] require(::Module, ::Symbol) at ./loading.jl:917

[Krisselack]

can confirm with julia 1.5.3. I tried: Pkg.add(url="https://github.com/ayush1999/Keras.jl") resulting in:

ERROR: could not find project file in package at https://github.com/ayush1999/Keras.jl maybe subdir needs to be specified

or with: Pkg.add("Keras") it was not found:

ERROR: The following package names could not be resolved:

• Keras (not found in project, manifest or registry)

[JosePereiraUA]

The workaround is to clone the github normally (git clone https://github.com/ayush1999/Keras.jl) and then starting a new Project.toml (this was only introduced after Julia 0.6, I think). Then you need to manually add all dependencies (] dev . and ] add X), just keep adding all the dependencies.

There are other issues: the Julia itself has changed significantly from 0.6, things like the ... operator have changed. So I think that for any Julia > 0.6, this package is currently broken. I tried to fix some of the issues but it's quickly becoming too cumbersome.

Unfortunetly, because this package would really be useful. If I find anything, I'll comunicate.

[ayush-1506]

Hey folks! I wrote this package three years ago and then I lost access to that github account (@ayush1999). If you think this package is useful, please let me know and I'll try to migrate it to my current account (@ayush-1506) and bump it to support new julia versions. Thanks!

[JosePereiraUA]

I think it is definetly useful, I'd used it on ProtoSyn.jl if it worked on Julia 1.7. How hard do you think it would be?

[ayush-1506]

I think apart from adding the usual manifest files (which should be the simpler bit), we'd also need to check if the Flux & Keras APIs have changed. This might be the more involved part.

[JosePereiraUA]

Agreed. Some julia changes might also have broken this code.

[ayush-1506]

FYI if code changes here are significant and you want something to work as soon as possible, there are other things you can try:

• ONNX.jl (currently under development and you might have to add a few new ops)
• https://github.com/invenia/Keras.jl : This is a Julia wrapper around Keras python API. Not sure if it is relevant for your work.

[JosePereiraUA]

I was exploring the ONNX.jl, actually adding ops as you said (ahah). Run into some problems: https://github.com/FluxML/ONNX.jl/issues/61#issuecomment-1040501987

Perhaps you may help as well. I'm kind of a noob when it comes to these things. I also took a look at Keras.jl, but I may just end up going with the default way of using PyCall to run TensorFlow.