cavis/.github/workflows/build-deploy-linux-jetsonna...

51 lines
1.9 KiB
YAML

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