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|
# This job is not directly related to regular CI pipeline.
# It is intended to create FFmpeg binaries that we upload on S3,
# which then will be used during all the build process in CI or local.
#
# This job does not include uploading part.
# Upload needs to be done manually, and it should be done only once
# par new major release of FFmepg.
name: FFmpeg Binaries
on:
workflow_dispatch:
schedule:
- cron: '0 0 * * 0' # on sunday
jobs:
LGPL-Linux-x86_64:
strategy:
fail-fast: false
matrix:
ffmpeg_version: ["4.4.4", "5.1.4", "6.1.1", "master"]
uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@release/2.9
permissions:
id-token: write
contents: read
with:
job-name: Build
upload-artifact: ffmpeg-lgpl
repository: pytorch/audio
script: |
export FFMPEG_VERSION="${{ matrix.ffmpeg_version }}"
export FFMPEG_ROOT="${PWD}/ffmpeg"
.github/scripts/ffmpeg/build.sh
tar -cf ffmpeg.tar.gz ffmpeg/include ffmpeg/lib
artifact_dir="${RUNNER_ARTIFACT_DIR}/$(date +%Y-%m-%d)/linux_x86_64/"
mkdir -p "${artifact_dir}"
mv ffmpeg.tar.gz "${artifact_dir}/${FFMPEG_VERSION}.tar.gz"
LGPL-Linux-aarch64:
strategy:
fail-fast: false
matrix:
ffmpeg_version: ["4.4.4", "5.1.4", "6.1.1", "master"]
uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@release/2.9
permissions:
id-token: write
contents: read
with:
job-name: Build
upload-artifact: ffmpeg-lgpl
repository: pytorch/audio
runner: linux.arm64.2xlarge
docker-image: pytorch/manylinuxaarch64-builder:cpu-aarch64
script: |
export FFMPEG_VERSION="${{ matrix.ffmpeg_version }}"
export FFMPEG_ROOT="${PWD}/ffmpeg"
.github/scripts/ffmpeg/build.sh
tar -cf ffmpeg.tar.gz ffmpeg/include ffmpeg/lib
artifact_dir="${RUNNER_ARTIFACT_DIR}/$(date +%Y-%m-%d)/linux_aarch64/"
mkdir -p "${artifact_dir}"
mv ffmpeg.tar.gz "${artifact_dir}/${FFMPEG_VERSION}.tar.gz"
LGPL-macOS:
strategy:
fail-fast: false
matrix:
ffmpeg_version: ["4.4.4", "5.1.4", "6.1.1", "master"]
runner: ["macos-m1-stable", "macos-12"]
uses: pytorch/test-infra/.github/workflows/macos_job.yml@release/2.9
with:
job-name: Build
upload-artifact: ffmpeg-lgpl
repository: pytorch/audio
runner: "${{ matrix.runner }}"
script: |
export FFMPEG_VERSION="${{ matrix.ffmpeg_version }}"
export FFMPEG_ROOT="${PWD}/ffmpeg"
.github/scripts/ffmpeg/build.sh
tar -cf ffmpeg.tar.gz ffmpeg/include ffmpeg/lib
artifact_dir="${RUNNER_ARTIFACT_DIR}/$(date +%Y-%m-%d)/macos_$(uname -m)"
mkdir -p "${artifact_dir}"
mv ffmpeg.tar.gz "${artifact_dir}/${FFMPEG_VERSION}.tar.gz"
LGPL-Windows:
strategy:
fail-fast: false
matrix:
ffmpeg_version: ["4.4.4", "5.1.4", "6.1.1", "master"]
uses: pytorch/test-infra/.github/workflows/windows_job.yml@release/2.9
with:
job-name: Build
upload-artifact: ffmpeg-lgpl
repository: pytorch/audio
script: |
export FFMPEG_VERSION="${{ matrix.ffmpeg_version }}"
export FFMPEG_ROOT="${PWD}/ffmpeg"
.github/scripts/ffmpeg/build.bat
tar -cf ffmpeg.tar.gz ffmpeg/include ffmpeg/bin
artifact_dir="${RUNNER_ARTIFACT_DIR}/$(date +%Y-%m-%d)/windows"
mkdir -p "${artifact_dir}"
mv ffmpeg.tar.gz "${artifact_dir}/${FFMPEG_VERSION}.tar.gz"
|
