pytorch/.github/workflows/_binary-upload.yml
Zain Rizvi ee1d79a6df [Reusable workflows] Linux - Move codegened binary builds + upload to a reusable workflow (take 2) (#81564)
Refactor the codgen used to generate linux binary builds into reusable workflows

This PR extracts out what's needed for binary builds & tests for linux, and the upload step that's shared by all OSes.

Other OS workflows are extracted in these PRs:
- Windows: https://github.com/pytorch/pytorch/pull/81572
- MacOS: https://github.com/pytorch/pytorch/pull/81571

The one exception here is I left the ROCm workflow steps as codegen since bugs with those workflows would bring down the entire ROCm runner for all other users as well.

Partially fixes https://github.com/pytorch/pytorch/issues/74480

### Testing
Ran CI with `ciflow/trunk`, `ciflow/binaries`,  `ciflow/binaries_conda`, and `ciflow/binaries_wheel` labels
Pull Request resolved: https://github.com/pytorch/pytorch/pull/81564
Approved by: https://github.com/huydhn
2022-07-20 15:32:21 +00:00

178 lines
6.7 KiB
YAML

name: upload
on:
workflow_call:
inputs:
build_name:
required: true
type: string
description: The build's name
use_s3:
type: boolean
default: true
description: If true, will download artifacts from s3. Otherwise will use the default github artifact download action
PYTORCH_ROOT:
required: false
type: string
description: Root directory for the pytorch/pytorch repository. Not actually needed, but currently passing it in since we pass in the same inputs to the reusable workflows of all binary builds
BUILDER_ROOT:
required: false
type: string
description: Root directory for the pytorch/builder repository. Not actually needed, but currently passing it in since we pass in the same inputs to the reusable workflows of all binary builds
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: false
type: string
description: Docker image 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_DEVTOOLSET:
required: false
type: string
description: Desired dev toolset
DESIRED_PYTHON:
required: false
type: string
description: Desired python version
secrets:
github-token:
required: true
description: Github Token
aws-access-key-id:
required: true
description: AWS access key id
aws-pytorch-uploader-secret-access-key:
required: true
description: AWS secret access key
conda-pytorchbot-token:
required: true
description: Conda PyTorchBot token
jobs:
build:
runs-on: linux.2xlarge
env:
PYTORCH_ROOT: /pytorch
BUILDER_ROOT: /builder
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_DEVTOOLSET: ${{ inputs.DESIRED_DEVTOOLSET }}
DESIRED_PYTHON: ${{ inputs.DESIRED_PYTHON }}
# Needed for conda builds
ALPINE_IMAGE: "308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine"
ANACONDA_USER: pytorch
AWS_DEFAULT_REGION: us-east-1
BINARY_ENV_FILE: /tmp/env
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: List the env
shell: bash
run: env
- name: Checkout PyTorch
uses: pytorch/pytorch/.github/actions/checkout-pytorch@master
- name: Setup Linux
uses: ./.github/actions/setup-linux
- name: Chown workspace
uses: ./.github/actions/chown-workspace
- name: "[FB EMPLOYEES] Enable SSH (Click me for login details)"
uses: ./.github/actions/setup-ssh
with:
github-secret: ${{ secrets.github-token }}
- name: Download Build Artifacts with S3
uses: seemethere/download-artifact-s3@v4
if: ${{ inputs.use_s3 }}
with:
name: ${{ inputs.build_name }}
path: "${{ runner.temp }}/artifacts/"
- name: Download Build Artifacts without S3
uses: actions/download-artifact@v2
if: ${{ !inputs.use_s3 }}
with:
name: ${{ inputs.build_name }}
path: "${{ runner.temp }}/artifacts/"
- name: Set DRY_RUN (only for tagged pushes)
if: ${{ github.event_name == 'push' && (github.event.ref == 'refs/heads/nightly' || (startsWith(github.event.ref, 'refs/tags/') && !startsWith(github.event.ref, 'refs/tags/ciflow/'))) }}
run: |
echo "DRY_RUN=disabled" >> "$GITHUB_ENV"
- name: Set UPLOAD_CHANNEL (only for tagged pushes)
if: ${{ github.event_name == 'push' && startsWith(github.event.ref, 'refs/tags/') && !startsWith(github.event.ref, 'refs/tags/ciflow/') }}
run: |
# reference ends with an RC suffix
if [[ ${GITHUB_REF_NAME} = *-rc[0-9]* ]]; then
echo "UPLOAD_CHANNEL=test" >> "$GITHUB_ENV"
fi
- name: Upload binaries
env:
PKG_DIR: "${{ runner.temp }}/artifacts"
UPLOAD_SUBFOLDER: "${{ env.DESIRED_CUDA }}"
# When running these on pull_request events these should be blank
AWS_ACCESS_KEY_ID: ${{ secrets.aws-access-key-id }}
AWS_SECRET_ACCESS_KEY: ${{ secrets.aws-pytorch-uploader-secret-access-key }}
ANACONDA_API_TOKEN: ${{ secrets.conda-pytorchbot-token }}
run: |
docker run --rm -i \
-e ANACONDA_API_TOKEN \
-e AWS_ACCESS_KEY_ID \
-e AWS_SECRET_ACCESS_KEY \
-e DRY_RUN \
-e PACKAGE_TYPE \
-e PKG_DIR=/artifacts \
-e UPLOAD_CHANNEL \
-e UPLOAD_SUBFOLDER \
-v "${RUNNER_TEMP}/artifacts:/artifacts" \
-v "${GITHUB_WORKSPACE}:/v" \
-w /v \
308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/miniconda3:4.10.3 \
bash -c '.circleci/scripts/binary_upload.sh'
- name: Hold runner for 2 hours or until ssh sessions have drained
# Always hold for active ssh sessions
if: always()
run: .github/scripts/wait_for_ssh_to_drain.sh
- name: Chown workspace
if: always()
run: |
# Ensure the working directory gets chowned back to the current user
docker run --rm -v "$(pwd)":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
- name: Kill containers, clean up images
if: always()
run: |
# ignore expansion of "docker ps -q" since it could be empty
# shellcheck disable=SC2046
docker stop $(docker ps -q) || true
# Prune all of the docker images
docker system prune -af