Files
pytorch/.github/workflows/_binary-test-linux.yml
2025-09-19 18:50:47 +00:00

233 lines
9.0 KiB
YAML

name: linux-binary-test
on:
workflow_call:
inputs:
build_name:
required: true
type: string
description: The build's name
build_environment:
required: true
type: string
description: The build environment
ALPINE_IMAGE:
required: false
type: string
default: "308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine"
PYTORCH_ROOT:
required: true
type: string
description: Root directory for the pytorch/pytorch repository
PACKAGE_TYPE:
required: true
type: string
description: Package type
DESIRED_CUDA:
required: true
type: string
description: Desired Cuda version
GPU_ARCH_VERSION:
required: false
type: string
description: GPU Arch version
GPU_ARCH_TYPE:
required: true
type: string
description: GPU Arch type
DOCKER_IMAGE:
required: true
type: string
description: Docker image to use
DOCKER_IMAGE_TAG_PREFIX:
required: true
type: string
description: Docker image tag to use
LIBTORCH_CONFIG:
required: false
type: string
description: Desired libtorch config (for libtorch builds only)
LIBTORCH_VARIANT:
required: false
type: string
description: Desired libtorch variant (for libtorch builds only)
DESIRED_PYTHON:
required: false
type: string
description: Desired python version
runner_prefix:
required: false
default: ""
type: string
description: prefix for runner label
runs_on:
required: true
type: string
description: Hardware to run this job on. Valid values are linux.4xlarge, linux.4xlarge.nvidia.gpu, linux.arm64.2xlarge, and linux.rocm.gpu
secrets:
github-token:
required: true
description: Github Token
permissions:
id-token: write
jobs:
test:
runs-on: ${{ inputs.runner_prefix}}${{ inputs.runs_on }}
timeout-minutes: 240
env:
PYTORCH_ROOT: ${{ inputs.PYTORCH_ROOT }}
PACKAGE_TYPE: ${{ inputs.PACKAGE_TYPE }}
# TODO: This is a legacy variable that we eventually want to get rid of in
# favor of GPU_ARCH_VERSION
DESIRED_CUDA: ${{ inputs.DESIRED_CUDA }}
GPU_ARCH_VERSION: ${{ inputs.GPU_ARCH_VERSION }}
GPU_ARCH_TYPE: ${{ inputs.GPU_ARCH_TYPE }}
DOCKER_IMAGE: ${{ inputs.DOCKER_IMAGE }}
SKIP_ALL_TESTS: 1
LIBTORCH_CONFIG: ${{ inputs.LIBTORCH_CONFIG }}
LIBTORCH_VARIANT: ${{ inputs.LIBTORCH_VARIANT }}
DESIRED_PYTHON: ${{ inputs.DESIRED_PYTHON }}
ALPINE_IMAGE: ${{ inputs.ALPINE_IMAGE }}
AWS_DEFAULT_REGION: us-east-1
BINARY_ENV_FILE: /tmp/env
BUILD_ENVIRONMENT: ${{ inputs.build_environment }}
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
PR_NUMBER: ${{ github.event.pull_request.number }}
PYTORCH_FINAL_PACKAGE_DIR: /artifacts
SHA1: ${{ github.event.pull_request.head.sha || github.sha }}
steps:
- name: Make the env permanent during this workflow (but not the secrets)
shell: bash
run: |
{
echo "PYTORCH_ROOT=${{ env.PYTORCH_ROOT }}"
echo "PACKAGE_TYPE=${{ env.PACKAGE_TYPE }}"
echo "DESIRED_CUDA=${{ env.DESIRED_CUDA }}"
echo "GPU_ARCH_VERSION=${{ env.GPU_ARCH_VERSION }}"
echo "GPU_ARCH_TYPE=${{ env.GPU_ARCH_TYPE }}"
echo "DOCKER_IMAGE=${{ env.DOCKER_IMAGE }}"
echo "SKIP_ALL_TESTS=${{ env.SKIP_ALL_TESTS }}"
echo "LIBTORCH_CONFIG=${{ env.LIBTORCH_CONFIG }}"
echo "LIBTORCH_VARIANT=${{ env.LIBTORCH_VARIANT }}"
echo "DESIRED_PYTHON=${{ env.DESIRED_PYTHON }}"
echo "ALPINE_IMAGE=${{ env.ALPINE_IMAGE }}"
echo "AWS_DEFAULT_REGION=${{ env.AWS_DEFAULT_REGION }}"
echo "BINARY_ENV_FILE=${{ env.BINARY_ENV_FILE }}"
echo "BUILD_ENVIRONMENT=${{ env.BUILD_ENVIRONMENT }}"
echo "PR_NUMBER=${{ env.PR_NUMBER }}"
echo "PYTORCH_FINAL_PACKAGE_DIR=${{ env.PYTORCH_FINAL_PACKAGE_DIR }}"
echo "SHA1=${{ env.SHA1 }}"
} >> "${GITHUB_ENV} }}"
- name: "[FB EMPLOYEES] Enable SSH (Click me for login details)"
if: inputs.build_environment != 'linux-s390x-binary-manywheel'
uses: pytorch/test-infra/.github/actions/setup-ssh@main
continue-on-error: true
with:
github-secret: ${{ secrets.github-token }}
# Setup the environment
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@main
with:
no-sudo: ${{ inputs.build_environment == 'linux-aarch64-binary-manywheel' || inputs.build_environment == 'linux-s390x-binary-manywheel' }}
- name: Setup Linux
if: inputs.build_environment != 'linux-s390x-binary-manywheel'
uses: ./.github/actions/setup-linux
- name: Chown workspace
if: inputs.build_environment != 'linux-s390x-binary-manywheel'
uses: ./.github/actions/chown-workspace
with:
ALPINE_IMAGE: ${{ inputs.ALPINE_IMAGE }}
- name: Clean workspace
shell: bash
run: |
rm -rf "${GITHUB_WORKSPACE}"
mkdir "${GITHUB_WORKSPACE}"
- name: Checkout PyTorch to pytorch dir
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
with:
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
submodules: recursive
show-progress: false
path: pytorch
- name: Clean PyTorch checkout
run: |
# Remove any artifacts from the previous checkouts
git clean -fxd
working-directory: pytorch
- name: Check if the job is disabled
id: filter
uses: ./pytorch/.github/actions/filter-test-configs
with:
github-token: ${{ secrets.GITHUB_TOKEN }}
# NB: Use a mock test matrix with a default value here. After filtering, if the
# returned matrix is empty, it means that the job is disabled
test-matrix: |
{ include: [
{ config: "default" },
]}
- name: Download Build Artifacts
if: ${{ steps.filter.outputs.is-test-matrix-empty == 'False' }}
uses: actions/download-artifact@65a9edc5881444af0b9093a5e628f2fe47ea3b2e # v4.1.7
with:
name: ${{ inputs.build_name }}
path: "${{ runner.temp }}/artifacts/"
- name: Install nvidia driver, nvidia-docker runtime, set GPU_FLAG
uses: pytorch/test-infra/.github/actions/setup-nvidia@main
if: ${{ inputs.GPU_ARCH_TYPE == 'cuda' && steps.filter.outputs.is-test-matrix-empty == 'False' }}
- name: configure aws credentials
id: aws_creds
if: ${{ steps.filter.outputs.is-test-matrix-empty == 'False' && inputs.build_environment != 'linux-s390x-binary-manywheel' && startsWith(github.event.ref, 'refs/tags/ciflow/') }}
uses: aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722 # v4.1.0
with:
role-to-assume: arn:aws:iam::308535385114:role/gha_workflow_s3_and_ecr_read_only
aws-region: us-east-1
role-duration-seconds: 18000
- name: Calculate docker image
id: calculate-docker-image
if: ${{ steps.filter.outputs.is-test-matrix-empty == 'False' && inputs.build_environment != 'linux-s390x-binary-manywheel' }}
uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
with:
docker-registry: ${{ startsWith(github.event.ref, 'refs/tags/ciflow/') && '308535385114.dkr.ecr.us-east-1.amazonaws.com' || 'docker.io' }}
docker-image-name: ${{ inputs.DOCKER_IMAGE }}
custom-tag-prefix: ${{ inputs.DOCKER_IMAGE_TAG_PREFIX }}
docker-build-dir: .ci/docker
working-directory: pytorch
- name: Pull Docker image
if: ${{ steps.filter.outputs.is-test-matrix-empty == 'False' && inputs.build_environment != 'linux-s390x-binary-manywheel' }}
uses: pytorch/test-infra/.github/actions/pull-docker-image@main
with:
docker-image: ${{ steps.calculate-docker-image.outputs.docker-image }}
- name: Test Pytorch binary
if: ${{ steps.filter.outputs.is-test-matrix-empty == 'False' }}
uses: ./pytorch/.github/actions/test-pytorch-binary
env:
DOCKER_IMAGE: ${{ steps.calculate-docker-image.outputs.docker-image || format('{0}:{1}', inputs.DOCKER_IMAGE, inputs.DOCKER_IMAGE_TAG_PREFIX) }}
- name: Teardown Linux
if: always() && inputs.build_environment != 'linux-s390x-binary-manywheel'
uses: pytorch/test-infra/.github/actions/teardown-linux@main
- name: Chown workspace
if: always() && inputs.build_environment != 'linux-s390x-binary-manywheel'
uses: ./pytorch/.github/actions/chown-workspace
with:
ALPINE_IMAGE: ${{ inputs.ALPINE_IMAGE }}