Precompile error when Using TensorFlow

[mbeltagy]

After successfully building the package, I get the following

julia> using TensorFlow
INFO: Recompiling stale cache file /home/user/.julia/lib/v0.6/TensorFlow.ji for module TensorFlow.
WARNING: Loading a new version of TensorFlow.jl for the first time. This initial load can take around 5 minutes as code is precompiled; subsequent usage will only take a few seconds.
WARNING: Base.FloatRange is deprecated, use Base.Use_StepRangeLen_Instead{T} where T<:AbstractFloat instead.
  likely near /home/user/.julia/TensorFlow/src/ops/indexing.jl:102
WARNING: The call to compilecache failed to create a usable precompiled cache file for module TensorFlow. Got:
WARNING: Module FFTW uuid did not match cache file.
ERROR: LoadError: Declaring __precompile__(true) is only allowed in module files being imported.
Stacktrace:
 [1] __precompile__(::Bool) at ./loading.jl:335
 [2] include_from_node1(::String) at ./loading.jl:569
 [3] eval(::Module, ::Any) at ./boot.jl:235
 [4] _require(::Symbol) at ./loading.jl:483
 [5] require(::Symbol) at ./loading.jl:398
while loading /home/user/.julia/TensorFlow/src/TensorFlow.jl, in expression starting on line 1

I am using 0.6.1-pre.0

[mbeltagy]

I got it to work by

julia> using FFTW
WARNING: imported binding for FFTW overwritten in module Main

julia> using TensorFlow
INFO: Recompiling stale cache file /home/elbeltagy/.julia/lib/v0.6/TensorFlow.ji for module TensorFlow.
WARNING: Loading a new version of TensorFlow.jl for the first time. This initial load can take around 5 minutes as code is precompiled; subsequent usage will only take a few seconds.
WARNING: Base.FloatRange is deprecated, use Base.Use_StepRangeLen_Instead{T} where T<:AbstractFloat instead.
  likely near /home/elbeltagy/.julia/TensorFlow/src/ops/indexing.jl:102

This is a JuliaLang issue. Currently being discussed at JuliaLang/julia#21969

[malmaud]

Yep, it's annoying and is biting me constantly now. I'm going to close this issue though since it's not actionable on our part for now.