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MXNet-Scala is a Scala binding for the MXNet Deep Learning framework. It currently supports Training and Inference

MXNet-Scala Modules

ModulePackage GeneratedDependenciesDescription
  1. assembly
  1. mxnet-full-parent_2.11
  2. mxnet-full_2.11-{platform}
  1. mxnet-core_2.11
  2. libmxnet-scala-{platform}

2. core

mxnet-core_2.11

  1. mxnet-init_2.11
  2. mxnet-macros_2.11

3. macros

mxnet-macros_2.11

  1. mxnet-init_2.11
  2. libmxnet-init-scala-{platform}

4. init

mxnet-init_2.11

 

5. init-native

  1. mxnet-scala-init-native-parent
  2. libmxnet-init-scala-osx-x86_64

  3. libmxnet-init-scala-linux-x86_64

mxnet-init_2.11


6. native

  1. mxnet-parent_2.11
  2. libmxnet-scala-{platform}

 mxnet-core_2.11


7. infer

mxnet-infer_2.11

  1. mxnet-core_2.11
  2. libmxnet-scala-{platform}

8. spark

mxnet-spark_2.11

  1. mxnet-core_2.11
  2. libmxnet-scala-{platform}
  3. spark-mllib_2.11

9. examples

mxnet-examples_2.11

  1. mxnet-core_2.11
  2. mxnet-infer_2.11

Publishing Scala Packages to Nexus/Maven

Currently 3 Packages from the above generated are published to Maven. `mxnet_full_2.11-{platform}`.

The following flags are used to build the MXNet Backend(derived from mxnet pip compiler flags)


FLAGSMXNet-Scala OSX

MXNet-Scala Linux CPU

MXNet-Scala Linux GPU
USE_BLAS
0 
USE_LAPACK11 
USE_OPENCV11 (opencv 3.4.1) 
USE_S311 
USE_DIST_KVSTORE01 
USE_OPENMP 11

USE_CUDNN

 01
USE_NCCL 0

1

USE_MKLDNN
0
Java version

$ java -version
java version "1.8.0_171"
Java(TM) SE Runtime Environment (build 1.8.0_171-b11)
Java HotSpot(TM) 64-Bit Server VM (build 25.171-b11, mixed mode)

ubuntu@ip:~$ java -version
openjdk version "1.8.0_121"
OpenJDK Runtime Environment (Zulu 8.20.0.5-linux64) (build 1.8.0_121-b15)
OpenJDK 64-Bit Server VM (Zulu 8.20.0.5-linux64) (build 25.121-b15, mixed mode)



Export GPG Keys

gpg --export-secret-keys -a xxx@apache.org > ~/Downloads/keys.asc
gpg --import /tmp/keys.asc
#list the keys to make sure they are there.
gpg --list-keys

Build MXNet backend on OSX

Clone MXNet repo and checkout the release branch

export YOURFORK=whatever
export RELEASE_VERISON=1.2.0
git clone https://github.com/$YOURFORK$/incubator-mxnet
git remote add upstream https://github.com/apache/incubator-mxnet
git fetch upstream $RELEASE_VERSION && git checkout -b $RELEASE_VERSION --track upstream/$RELEASE_VERSION

Install necessary libraries

brew install lapack
brew install openblas

Build MXNet Backend

brew install lapackbrew install openblas

Maven Publish

Follow Maven Publish Link https://www.apache.org/dev/publishing-maven-artifacts.html to setup repo settings, etc., before you proceed

Maven Publish Process
#if you don't set this it will fail with the error "gpg: signing failed: Inappropriate ioctl for device"
export GPG_TTY=$(tty)
make scalarelease-dryrun
# Releases to Apache Snapshot
make scaladeploy


Build MXNet backend on Linux-CPU

To build for linux-cpu platform, we use the AWS Deep Learning Base AMI that comes built with all the necessary 

libraries such as opencv/cudnn etc,.

Install Maven on Ubuntu

sudo apt-get install -y maven

setup all the flags


Note: compiling with USE_SIGNAL_HANDLER throws a segmentation fault on both OSX and Linux platforms

Segfaults when MXNet backend is built with openblas
[INFO] Stack trace returned 10 entries: [INFO] [bt] (0) /home/ubuntu/incubator-mxnet/scala-package/init-native/linux-x86_64/target/libmxnet-init-scala-linux-x86_64.so(dmlc::StackTrace[abi:cxx11]()+0x1bc) [0x7f0afcea735c] [INFO] [bt] (1) /home/ubuntu/incubator-mxnet/scala-package/init-native/linux-x86_64/target/libmxnet-init-scala-linux-x86_64.so(+0x2fc40af) [0x7f0aff99e0af] [INFO] [bt] (2) /lib/x86_64-linux-gnu/libc.so.6(+0x354b0) [0x7f0be3a204b0] [INFO] [bt] (3) /usr/lib/jvm/java-8-openjdk-amd64/jre/lib/amd64/server/libjvm.so(+0x8797bd) [0x7f0be0fed7bd] [INFO] [bt] (4) /usr/lib/jvm/java-8-openjdk-amd64/jre/lib/amd64/server/libjvm.so(+0x3dac73) [0x7f0be0b4ec73] [INFO] [bt] (5) /usr/lib/jvm/java-8-openjdk-amd64/jre/lib/amd64/server/libjvm.so(+0x40594d) [0x7f0be0b7994d] [INFO] [bt] (6) /usr/lib/jvm/java-8-openjdk-amd64/jre/lib/amd64/server/libjvm.so(+0x3ed3a0) [0x7f0be0b613a0] [INFO] [bt] (7) /usr/lib/jvm/java-8-openjdk-amd64/jre/lib/amd64/server/libjvm.so(+0x4047ac) [0x7f0be0b787ac] [INFO] [bt] (8) /usr/lib/jvm/java-8-openjdk-amd64/jre/lib/amd64/server/libjvm.so(+0x4032ce) [0x7f0be0b772ce] [INFO] [bt] (9) /usr/lib/jvm/java-8-openjdk-amd64/jre/lib/amd64/server/libjvm.so(+0x3de959) [0x7f0be0b52959] [INFO] Stack trace returned 10 entries: [INFO] [bt] (0) /home/ubuntu/incubator-mxnet/scala-package/init-native/linux-x86_64/target/libmxnet-init-scala-linux-x86_64.so(dmlc::StackTrace[abi:cxx11]()+0x1bc) [0x7f0afcea735c] [INFO] [bt] (1) /home/ubuntu/incubator-mxnet/scala-package/init-native/linux-x86_64/target/libmxnet-init-scala-linux-x86_64.so(+0x2fc40af) [0x7f0aff99e0af] [INFO] [bt] (2) /lib/x86_64-linux-gnu/libc.so.6(+0x354b0) [0x7f0be3a204b0] [INFO] [bt] (3) /usr/lib/jvm/java-8-openjdk-amd64/jre/lib/amd64/server/libjvm.so(+0x3dfe3a) [0x7f0be0b53e3a] [INFO] [bt] (4) /usr/lib/jvm/java-8-openjdk-amd64/jre/lib/amd64/server/libjvm.so(+0x323ac4) [0x7f0be0a97ac4] [INFO] [bt] (5) /usr/lib/jvm/java-8-openjdk-amd64/jre/lib/amd64/server/libjvm.so(+0x323e12) [0x7f0be0a97e12] [INFO] [bt] (6) /usr/lib/jvm/java-8-openjdk-amd64/jre/lib/amd64/server/libjvm.so(+0x324b07) [0x7f0be0a98b07] [INFO] [bt] (7) /usr/lib/jvm/java-8-openjdk-amd64/jre/lib/amd64/server/libjvm.so(+0x4768db) [0x7f0be0bea8db] [INFO] [bt] (8) /usr/lib/jvm/java-8-openjdk-amd64/jre/lib/amd64/server/libjvm.so(+0x478717) [0x7f0be0bec717] [INFO] [bt] (9) /usr/lib/jvm/java-8-openjdk-amd64/jre/lib/amd64/server/libjvm.so(+0xa12217) [0x7f0be1186217]





Testing with Intel MKL

Install instructions here: 

https://software.intel.com/en-us/articles/installing-intel-free-libs-and-python-apt-repo

MKL Install instructions
USE_BLAS=mkl wget https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS-2019.PUB sudo apt-key add GPG-PUB-KEY-INTEL-SW-PRODUCTS-2019.PUB sudo wget https://apt.repos.intel.com/setup/intelproducts.list -O /etc/apt/sources.list.d/intelproducts.list sudo sh -c 'echo deb https://apt.repos.intel.com/mkl all main > /etc/apt/sources.list.d/intel-mkl.list' sudo apt-get update sudo apt-get install intel-mkl-2018.2-046


Failed with Segfault:

[INFO] Stack trace returned 10 entries: [INFO] [bt] (0) /home/ubuntu/mxnet-master/scala-package/init-native/linux-x86_64/target/libmxnet-init-scala-linux-x86_64.so(dmlc::StackTrace[abi:cxx11]()+0x1bc) [0x7f2f04ca58ec] [INFO] [bt] (1) /home/ubuntu/mxnet-master/scala-package/init-native/linux-x86_64/target/libmxnet-init-scala-linux-x86_64.so(+0x31d7a4f) [0x7f2f07971a4f] [INFO] [bt] (2) /lib/x86_64-linux-gnu/libc.so.6(+0x354b0) [0x7f3096cd24b0] [INFO] [bt] (3) /usr/lib/jvm/java-8-openjdk-amd64/jre/lib/amd64/server/libjvm.so(+0x3e4afc) [0x7f3093e0aafc] [INFO] [bt] (4) /usr/lib/jvm/java-8-openjdk-amd64/jre/lib/amd64/server/libjvm.so(+0xa239d6) [0x7f30944499d6] [INFO] [bt] (5) /usr/lib/jvm/java-8-openjdk-amd64/jre/lib/amd64/server/libjvm.so(+0xa24cdc) [0x7f309444acdc] [INFO] [bt] (6) /usr/lib/jvm/java-8-openjdk-amd64/jre/lib/amd64/server/libjvm.so(+0xa24e4c) [0x7f309444ae4c] [INFO] [bt] (7) /usr/lib/jvm/java-8-openjdk-amd64/jre/lib/amd64/server/libjvm.so(+0x7c3252) [0x7f30941e9252] [INFO] [bt] (8) /usr/lib/jvm/java-8-openjdk-amd64/jre/lib/amd64/server/libjvm.so(+0x5b00d6) [0x7f3093fd60d6] [INFO] [bt] (9) /usr/lib/jvm/java-8-openjdk-amd64/jre/lib/amd64/server/libjvm.so(+0x5b2c44) [0x7f3093fd8c44] [INFO] ------------------------------------------------------------------------


Publishing to Maven

export GPG_TTY=$(tty) make scalapkg make scalarelease-dryrun

Set up your dev environment

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