on:
  push:
jobs:
  #Note: no -pl here because we publish everything from this branch and use this as the basis for all uploads.
  linux-arm64:
    runs-on: self-hosted
    steps:
      - uses: AutoModality/action-clean@v1
      - name: Cancel Previous Runs
        uses: styfle/cancel-workflow-action@0.8.0
        with:
          access_token: ${{ github.token }}
      - uses: actions/checkout@v2
      - name: Set up Java for publishing to GitHub Packages
        uses: actions/setup-java@v1
        with:
            java-version: 1.8
            GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
      - name: Build on  linux-x86_64
        shell: bash
        env:
          DEBIAN_FRONTEND: noninteractive
          GITHUB_TOKEN:  ${{ secrets.GITHUB_TOKEN }}
          DEPLOY: 1
          BUILD_USING_MAVEN: 1
          TARGET_OS: linux
          CURRENT_TARGET: arm64
          CROSS_ROOT: ${GITHUB_WORKSPACE}/rootfs-nano
          CROSS_COMPILE: ${GITHUB_WORKSPACE}/toolchain/gcc-4.8.5-aarch64/bin
          CC: ${CROSS_COMPILE}/aarch64-unknown-linux-gnu-gcc
          CXX: ${CROSS_COMPILE}/aarch64-unknown-linux-gnu-g++
          LD: ${CROSS_COMPILE}/aarch64-unknown-linux-gnu-ld
          AR: ${CROSS_COMPILE}/aarch64-unknown-linux-gnu-ar
          AS: ${CROSS_COMPILE}/aarch64-unknown-linux-gnu-as
          RANLIB: ${CROSS_COMPILE}/aarch64-unknown-linux-gnu-ranlib
          NVCC: ${GITHUB_WORKSPACE}/cuda-10.2/bin/nvcc

        run: |
           wget https://developer.nvidia.com/embedded/dlc/l4t-gcc-toolchain-64-bit-28-3
           tar xpvf l4t-gcc-toolchain-64-bit-28-3
           mv install gcc-4.8.5-aarch64
           ${GITHUB_WORKSPACE}/change-cuda-versions.sh 10.2
           wget https://github.com/KonduitAI/deeplearning4j/releases/download/cuda-10.2/cuda-10.2.tar
           tar xvf cuda-10.2.tar
           mvn --version
           cmake --version
           protoc --version
           ${GITHUB_WORKSPACE}/libnd4j/pi_build.sh