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trunk.yml
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name: trunk
on:
push:
branches:
- master
- main
- release/*
- landchecks/*
tags:
- ciflow/trunk/*
workflow_dispatch:
schedule:
- cron: 29 8 * * * # about 1:29am PDT
concurrency:
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref_name }}-${{ github.ref_type == 'branch' && github.sha }}-${{ github.event_name == 'workflow_dispatch' }}-${{ github.event_name == 'schedule' }}
cancel-in-progress: true
jobs:
# Build PyTorch with BUILD_CAFFE2=ON
caffe2-linux-focal-py3_8-gcc7-build:
name: caffe2-linux-focal-py3.8-gcc7
uses: ./.github/workflows/_linux-build.yml
with:
build-environment: caffe2-linux-focal-py3.8-gcc7
docker-image-name: pytorch-linux-focal-py3.8-gcc7
test-matrix: |
{ include: [
{ config: "default", shard: 1, num_shards: 1 },
]}
linux-bionic-cuda11_8-py3_10-gcc7-build:
name: linux-bionic-cuda11.8-py3.10-gcc7
uses: ./.github/workflows/_linux-build.yml
with:
build-environment: linux-bionic-cuda11.8-py3.10-gcc7
docker-image-name: pytorch-linux-bionic-cuda11.8-cudnn8-py3-gcc7
test-matrix: |
{ include: [
{ config: "nogpu_AVX512", shard: 1, num_shards: 1, runner: "linux.2xlarge" },
{ config: "nogpu_NO_AVX2", shard: 1, num_shards: 1, runner: "linux.2xlarge" },
{ config: "jit_legacy", shard: 1, num_shards: 1, runner: "linux.4xlarge.nvidia.gpu" },
]}
linux-bionic-cuda11_8-py3_10-gcc7-test:
name: linux-bionic-cuda11.8-py3.10-gcc7
uses: ./.github/workflows/_linux-test.yml
needs: linux-bionic-cuda11_8-py3_10-gcc7-build
with:
build-environment: linux-bionic-cuda11.8-py3.10-gcc7
docker-image: ${{ needs.linux-bionic-cuda11_8-py3_10-gcc7-build.outputs.docker-image }}
test-matrix: ${{ needs.linux-bionic-cuda11_8-py3_10-gcc7-build.outputs.test-matrix }}
libtorch-linux-bionic-cuda11_8-py3_7-gcc7-build:
name: libtorch-linux-bionic-cuda11.8-py3.7-gcc7
uses: ./.github/workflows/_linux-build.yml
with:
build-environment: libtorch-linux-bionic-cuda11.8-py3.7-gcc7
docker-image-name: pytorch-linux-bionic-cuda11.8-cudnn8-py3-gcc7
build-generates-artifacts: false
runner: linux.4xlarge
test-matrix: |
{ include: [
{ config: "default", shard: 1, num_shards: 1 },
]}
# no-ops builds test USE_PER_OPERATOR_HEADERS=0 where ATen/ops is not generated
linux-bionic-cuda11_8-py3_10-gcc7-no-ops-build:
name: linux-bionic-cuda11.8-py3.10-gcc7-no-ops
uses: ./.github/workflows/_linux-build.yml
with:
build-environment: linux-bionic-cuda11.8-py3.10-gcc7-no-ops
docker-image-name: pytorch-linux-bionic-cuda11.8-cudnn8-py3-gcc7
test-matrix: |
{ include: [
{ config: "default", shard: 1, num_shards: 1 },
]}
pytorch-linux-focal-py3-clang7-android-ndk-r19c-build:
name: pytorch-linux-focal-py3-clang7-android-ndk-r19c-build
uses: ./.github/workflows/_android-full-build-test.yml
with:
build-environment: pytorch-linux-focal-py3-clang7-android-ndk-r19c-build
docker-image-name: pytorch-linux-focal-py3-clang7-android-ndk-r19c
test-matrix: |
{ include: [
{ config: "default", shard: 1, num_shards: 1, runner: "linux.2xlarge" },
]}
ios-12-5-1-x86-64:
name: ios-12-5-1-x86-64
uses: ./.github/workflows/_ios-build-test.yml
with:
build-environment: ios-12-5-1-x86-64
ios-platform: SIMULATOR
ios-arch: x86_64
test-matrix: |
{ include: [
{ config: "default", shard: 1, num_shards: 1, runner: "macos-12" },
]}
macos-12-py3-arm64-build:
name: macos-12-py3-arm64
uses: ./.github/workflows/_mac-build.yml
with:
sync-tag: macos-12-py3-arm64-build
build-environment: macos-12-py3-arm64
runner-type: macos-m1-12
build-generates-artifacts: true
# To match the one pre-installed in the m1 runners
python_version: 3.9.12
# We need to set the environment file here instead of trying to detect it automatically because
# MacOS arm64 is cross-compiled from x86-64. Specifically, it means that arm64 conda environment
# is needed when building PyTorch MacOS arm64 from x86-64
environment-file: .github/requirements/conda-env-macOS-ARM64
test-matrix: |
{ include: [
{ config: "default", shard: 1, num_shards: 3, runner: "macos-m1-12" },
{ config: "default", shard: 2, num_shards: 3, runner: "macos-m1-12" },
{ config: "default", shard: 3, num_shards: 3, runner: "macos-m1-12" },
]}
secrets:
MACOS_SCCACHE_S3_ACCESS_KEY_ID: ${{ secrets.MACOS_SCCACHE_S3_ACCESS_KEY_ID }}
MACOS_SCCACHE_S3_SECRET_ACCESS_KEY: ${{ secrets.MACOS_SCCACHE_S3_SECRET_ACCESS_KEY }}
macos-12-py3-arm64-mps-test:
name: macos-12-py3-arm64-mps
uses: ./.github/workflows/_mac-test-mps.yml
needs: macos-12-py3-arm64-build
if: needs.macos-12-py3-arm64-build.outputs.build-outcome == 'success'
with:
sync-tag: macos-12-py3-arm64-mps-test
build-environment: macos-12-py3-arm64
test-matrix: |
{ include: [
{ config: "default", shard: 1, num_shards: 1 },
]}
macos-12-py3-arm64-test:
name: macos-12-py3-arm64
uses: ./.github/workflows/_mac-test.yml
needs: macos-12-py3-arm64-build
with:
build-environment: macos-12-py3-arm64
test-matrix: ${{ needs.macos-12-py3-arm64-build.outputs.test-matrix }}
arch: arm64
secrets:
AWS_OSSCI_METRICS_V2_ACCESS_KEY_ID: ${{ secrets.AWS_OSSCI_METRICS_V2_ACCESS_KEY_ID }}
AWS_OSSCI_METRICS_V2_SECRET_ACCESS_KEY: ${{ secrets.AWS_OSSCI_METRICS_V2_SECRET_ACCESS_KEY }}
win-vs2019-cuda11_7-py3-build:
name: win-vs2019-cuda11.7-py3
uses: ./.github/workflows/_win-build.yml
with:
build-environment: win-vs2019-cuda11.7-py3
cuda-version: "11.7"
sync-tag: win-cuda-build
test-matrix: |
{ include: [
{ config: "default", shard: 1, num_shards: 6, runner: "windows.g5.4xlarge.nvidia.gpu" },
{ config: "default", shard: 2, num_shards: 6, runner: "windows.g5.4xlarge.nvidia.gpu" },
{ config: "default", shard: 3, num_shards: 6, runner: "windows.g5.4xlarge.nvidia.gpu" },
{ config: "default", shard: 4, num_shards: 6, runner: "windows.g5.4xlarge.nvidia.gpu" },
{ config: "default", shard: 5, num_shards: 6, runner: "windows.g5.4xlarge.nvidia.gpu" },
{ config: "default", shard: 6, num_shards: 6, runner: "windows.g5.4xlarge.nvidia.gpu" },
{ config: "force_on_cpu", shard: 1, num_shards: 1, runner: "windows.4xlarge" },
]}
win-vs2019-cuda11_7-py3-test:
name: win-vs2019-cuda11.7-py3
uses: ./.github/workflows/_win-test.yml
needs: win-vs2019-cuda11_7-py3-build
with:
build-environment: win-vs2019-cuda11.7-py3
cuda-version: "11.7"
test-matrix: ${{ needs.win-vs2019-cuda11_7-py3-build.outputs.test-matrix }}
linux-focal-rocm5_4_2-py3_8-build:
name: linux-focal-rocm5.4.2-py3.8
uses: ./.github/workflows/_linux-build.yml
with:
build-environment: linux-focal-rocm5.4.2-py3.8
docker-image-name: pytorch-linux-focal-rocm-n-py3
sync-tag: rocm-build
test-matrix: |
{ include: [
{ config: "default", shard: 1, num_shards: 3, runner: "linux.rocm.gpu" },
{ config: "default", shard: 2, num_shards: 3, runner: "linux.rocm.gpu" },
{ config: "default", shard: 3, num_shards: 3, runner: "linux.rocm.gpu" },
]}
linux-focal-rocm5_4_2-py3_8-test:
name: linux-focal-rocm5.4.2-py3.8
uses: ./.github/workflows/_rocm-test.yml
needs: linux-focal-rocm5_4_2-py3_8-build
with:
build-environment: linux-focal-rocm5.4.2-py3.8
docker-image: ${{ needs.linux-focal-rocm5_4_2-py3_8-build.outputs.docker-image }}
test-matrix: ${{ needs.linux-focal-rocm5_4_2-py3_8-build.outputs.test-matrix }}
secrets:
AWS_OSSCI_METRICS_V2_ACCESS_KEY_ID: ${{ secrets.AWS_OSSCI_METRICS_V2_ACCESS_KEY_ID }}
AWS_OSSCI_METRICS_V2_SECRET_ACCESS_KEY: ${{ secrets.AWS_OSSCI_METRICS_V2_SECRET_ACCESS_KEY }}