I fear @oxinabox is terribly right. I just finished to try the Keras wrapper (suggested by @tbeason) and I got the following nonsense…
Error: Error building `Keras`, showing the last 100 of log:
│ This can take several minutes. Press CTRL-C to abort.
│ failed
│
│ UnsatisfiableError: The following specifications were found
│ to be incompatible with the existing python installation in your environment:
│
│ Specifications:
│
│ - keras==2.0.2 -> python[version='2.7.*|3.5.*|3.6.*']
│ - keras==2.0.2 -> python[version='<3']
│ - keras==2.0.2 -> python[version='>=2.7,<2.8.0a0|>=3.5,<3.6.0a0|>=3.6,<3.7.0a0']
│
│ Your python: python=3.7
│
│ If python is on the left-most side of the chain, that's the version you've asked for.
│ When python appears to the right, that indicates that the thing on the left is somehow
│ not available for the python version you are constrained to. Note that conda will not
│ change your python version to a different minor version unless you explicitly specify
│ that.
│
│ The following specifications were found to be incompatible with each other:
│
│
│
│ Package certifi conflicts for:
│ python=3.7 -> pip -> setuptools -> certifi[version='>=2016.09|>=2016.9.26']
│ Package setuptools conflicts for:
│ keras==2.0.2 -> setuptools
│ python=3.7 -> pip -> setuptools
│ Package pip conflicts for:
│ keras==2.0.2 -> python=2.7 -> pip
│ python=3.7 -> pip
│ Package ca-certificates conflicts for:
│ python=3.7 -> openssl[version='>=1.1.1a,<1.1.2a'] -> ca-certificates
│ keras==2.0.2 -> setuptools -> ca-certificates
│ Package wheel conflicts for:
│ python=3.7 -> pip -> wheel
│ keras==2.0.2 -> python=2.7 -> pip -> wheel
│
│ [ Info: No valid (>=2.0.2) install of keras found.
│ [ Info: Installing Keras via Conda.jl...
│ [ Info: Downloading miniconda installer ...
│ [ Info: Installing miniconda ...
│ [ Info: Running `conda config --add channels defaults --file /home/adude/.julia/conda/3/condarc-julia.yml --force` in root environment
│ [ Info: Running `conda update -y conda` in root environment
│ [ Info: Running `conda config --add channels conda-forge --file /home/adude/.julia/conda/3/condarc-julia.yml --force` in root environment
│ [ Info: Running `conda install -y keras==2.0.2` in root environment
│ ERROR: LoadError: failed process: Process(setenv(`/home/adude/.julia/conda/3/bin/conda install -y keras==2.0.2`,["_CE_M=", "PATH=/home/adude/anaconda3/condabin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/home/adude/julia/julia-1.3.1/bin:/home/adude/.local/bin:/home/adude/bin", "PWD=/home/adude", "HISTSIZE=1000", "LESSOPEN=||/usr/bin/lesspipe.sh %s", "SHELL=/bin/bash", "SSH_CONNECTION=10.182.71.193 65510 10.63.36.22 22", "OPENBLAS_NUM_THREADS=8", "SELINUX_USE_CURRENT_RANGE=", "CONDARC=/home/adude/.julia/conda/3/condarc-julia.yml" … "_CE_CONDA=", "USER=adude", "SSH_TTY=/dev/pts/0", "SELINUX_LEVEL_REQUESTED=", "TERM=xterm", "HOME=/home/adude", "LS_COLORS=rs=0:di=01;34:ln=01;36:mh=00:pi=40;33:so=01;35:do=01;35:bd=40;33;01:cd=40;33;01:or=40;31;01:mi=01;05;37;41:su=37;41:sg=30;43:ca=30;41:tw=30;42:ow=34;42:st=37;44:ex=01;32:*.tar=01;31:*.tgz=01;31:*.arc=01;31:*.arj=01;31:*.taz=01;31:*.lha=01;31:*.lz4=01;31:*.lzh=01;31:*.lzma=01;31:*.tlz=01;31:*.txz=01;31:*.tzo=01;31:*.t7z=01;31:*.zip=01;31:*.z=01;31:*.Z=01;31:*.dz=01;31:*.gz=01;31:*.lrz=01;31:*.lz=01;31:*.lzo=01;31:*.xz=01;31:*.bz2=01;31:*.bz=01;31:*.tbz=01;31:*.tbz2=01;31:*.tz=01;31:*.deb=01;31:*.rpm=01;31:*.jar=01;31:*.war=01;31:*.ear=01;31:*.sar=01;31:*.rar=01;31:*.alz=01;31:*.ace=01;31:*.zoo=01;31:*.cpio=01;31:*.7z=01;31:*.rz=01;31:*.cab=01;31:*.jpg=01;35:*.jpeg=01;35:*.gif=01;35:*.bmp=01;35:*.pbm=01;35:*.pgm=01;35:*.ppm=01;35:*.tga=01;35:*.xbm=01;35:*.xpm=01;35:*.tif=01;35:*.tiff=01;35:*.png=01;35:*.svg=01;35:*.svgz=01;35:*.mng=01;35:*.pcx=01;35:*.mov=01;35:*.mpg=01;35:*.mpeg=01;35:*.m2v=01;35:*.mkv=01;35:*.webm=01;35:*.ogm=01;35:*.mp4=01;35:*.m4v=01;35:*.mp4v=01;35:*.vob=01;35:*.qt=01;35:*.nuv=01;35:*.wmv=01;35:*.asf=01;35:*.rm=01;35:*.rmvb=01;35:*.flc=01;35:*.avi=01;35:*.fli=01;35:*.flv=01;35:*.gl=01;35:*.dl=01;35:*.xcf=01;35:*.xwd=01;35:*.yuv=01;35:*.cgm=01;35:*.emf=01;35:*.axv=01;35:*.anx=01;35:*.ogv=01;35:*.ogx=01;35:*.aac=01;36:*.au=01;36:*.flac=01;36:*.mid=01;36:*.midi=01;36:*.mka=01;36:*.mp3=01;36:*.mpc=01;36:*.ogg=01;36:*.ra=01;36:*.wav=01;36:*.axa=01;36:*.oga=01;36:*.spx=01;36:*.xspf=01;36:", "HOSTNAME=IRIAZLNXMdR105d", "OPENBLAS_MAIN_FREE=1", "PYTHONIOENCODING=UTF-8"]), ProcessExited(1)) [1]
│
│ Stacktrace:
│ [1] pipeline_error at ./process.jl:525 [inlined]
│ [2] #run#565(::Bool, ::typeof(run), ::Cmd) at ./process.jl:440
│ [3] run at ./process.jl:438 [inlined]
│ [4] runconda(::Cmd, ::String) at /home/adude/.julia/packages/Conda/kLXeC/src/Conda.jl:113
│ [5] #add#1(::String, ::typeof(Conda.add), ::String, ::String) at /home/adude/.julia/packages/Conda/kLXeC/src/Conda.jl:184
│ [6] add at /home/adude/.julia/packages/Conda/kLXeC/src/Conda.jl:183 [inlined] (repeats 2 times)
│ [7] top-level scope at /home/adude/.julia/packages/Keras/LfJdf/deps/build.jl:19
│ [8] include at ./boot.jl:328 [inlined]
│ [9] include_relative(::Module, ::String) at ./loading.jl:1105
│ [10] include(::Module, ::String) at ./Base.jl:31
│ [11] include(::String) at ./client.jl:424
│ [12] top-level scope at none:5
│ in expression starting at /home/adude/.julia/packages/Keras/LfJdf/deps/build.jl:7
│ caused by [exception 1]
│ PyError (PyImport_ImportModule
│
│ The Python package keras could not be found by pyimport. Usually this means
│ that you did not install keras in the Python version being used by PyCall.
│
│ PyCall is currently configured to use the Python version at:
│
│ /home/adude/anaconda3/bin/python3
│
│ and you should use whatever mechanism you usually use (apt-get, pip, conda,
│ etcetera) to install the Python package containing the keras module.
│
│ One alternative is to re-configure PyCall to use a different Python
│ version on your system: set ENV["PYTHON"] to the path/name of the python
│ executable you want to use, run Pkg.build("PyCall"), and re-launch Julia.
│
│ Another alternative is to configure PyCall to use a Julia-specific Python
│ distribution via the Conda.jl package (which installs a private Anaconda
│ Python distribution), which has the advantage that packages can be installed
│ and kept up-to-date via Julia. As explained in the PyCall documentation,
│ set ENV["PYTHON"]="", run Pkg.build("PyCall"), and re-launch Julia. Then,
│ To install the keras module, you can use `pyimport_conda("keras", PKG)`,
│ where PKG is the Anaconda package the contains the module keras,
│ or alternatively you can use the Conda package directly (via
│ `using Conda` followed by `Conda.add` etcetera).
│
│ ) <class 'ModuleNotFoundError'>
│ ModuleNotFoundError("No module named 'keras'")
│
│ Stacktrace:
│ [1] pyimport(::String) at /home/adude/.julia/packages/PyCall/ttONZ/src/PyCall.jl:544
│ [2] top-level scope at /home/adude/.julia/packages/Keras/LfJdf/deps/build.jl:8
│ [3] include at ./boot.jl:328 [inlined]
│ [4] include_relative(::Module, ::String) at ./loading.jl:1105
│ [5] include(::Module, ::String) at ./Base.jl:31
│ [6] include(::String) at ./client.jl:424
│ [7] top-level scope at none:5
│
│ Full log at /home/adude/.julia/packages/Keras/LfJdf/deps/build.log
└ @ Pkg.Operations /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.3/Pkg/src/backwards_compatible_isolation.jl:649