TensorFlow build issue
ViralBShah opened this issue · 5 comments
Building TensorFlow ──────→ ~/.julia/packages/TensorFlow/kl0uH/deps/build.log
┌ Error: Error building TensorFlow:
│ [ Info: Building TensorFlow.jl for CPU use only. To enable the GPU, set the TF_USE_GPU environment variable to 1 and rebuild TensorFlow.jl
│ ERROR: LoadError: Python TensorFlow not installed
│ Please either:
│ - Rebuild PyCall to use Conda, by running in the julia REPL:
│ - ENV["PYTHON"]=""; Pkg.build("PyCall"); Pkg.build("TensorFlow")
│ - Or install the python binding yourself, eg by running pip
│ - pip install tensorflow
│ - then rebuilding TensorFlow.jl via Pkg.build("TensorFlow") in the julia REPL
│ - make sure you run the right pip, for the instance of python that PyCall is looking at.
│
│ Stacktrace:
│ [1] error(::String) at ./error.jl:33
│ [2] top-level scope at /home/viralbshah/.julia/packages/TensorFlow/kl0uH/deps/build.jl:48
│ [3] include at ./boot.jl:317 [inlined]
│ [4] include_relative(::Module, ::String) at ./loading.jl:1038
│ [5] include(::Module, ::String) at ./sysimg.jl:29
│ [6] include(::String) at ./client.jl:388
│ [7] top-level scope at none:0
│ in expression starting at /home/viralbshah/.julia/packages/TensorFlow/kl0uH/deps/build.jl:39
└ @ Pkg.Operations ~/julia/usr/share/julia/stdlib/v1.1/Pkg/src/Operations.jl:1069
cc @staticfloat
In principle we don't need Python TensorFlow for anything this package uses from TensorFlow.jl
The long term goal is just to switch to (an updated version of) grpc.jl. Maybe we should just accelerate that. If we did, this'd become a very easy install.
Fixed by just deleting the python build steps from our TF.jl branch. We should still switch to grpc very soon, but this should work for now.