Repositories and dependencies

Installation instructions provided for tensorflow_scala do not work at the moment of writing (2018-08-21). It may be related to differences in the supported hardware the native library was compiled for.

So, it was necessary for me to compile libtensorflow.so from source:

git clone https://github.com/tensorflow/tensorflow.git
cd tensorflow
git checkout r1.9

I installed the Intel Distribution for Python, with instructions for intelpython3_core from here.

Next, it is time to configure the tensorflow build:

yes "" | TF_NEED_MKL=1 TF_DOWNLOAD_MKL=0 \
         MKL_INSTALL_PATH=/home/oscarvarto/anaconda3/envs/idp ./configure

It is necessary to install bazel, and then run the actual build. I chose the following flags according to the supported instruction sets supported by my processor (use cat /proc/cpuinfo for that).

bazel build --cxxopt=-D_GLIBCXX_USE_CXX11_ABI=0 \
            --config=mkl -c opt --copt=-mavx --copt=-mfma --copt=-msse4.2 \
            //tensorflow:libtensorflow.so

First Scala TensorFlow program

sbt dependencies

name := "HelloTensorFlow"

version := "0.1"

scalaVersion := "2.12.6"

libraryDependencies ++= Seq(
  "org.platanios" %% "tensorflow" % "0.2.3"
)

Hellow TensorFlow

import org.platanios.tensorflow.api._

object HelloTensorFlow extends App {
  val t1 = Tensor( 1.2, 4.5)
  val t2 = Tensor(-0.2, 1.1)
  val sum = t1 + t2
  println(s"sum = ${sum.summarize(flattened=true)}") 
}

sbt must be able to find the native libraries compiled before. Therefore, $LD_LIBRARY_PATH must include the bazel-bin/tensorflow folder inside the tensorflow repository:

# ~/.zshenv (assuming zsh shell)
LD_LIBRARY_PATH=`~/gitRepos/tensorflow/bazel-bin/tensorflow
export LD_LIBRARY_PATH