using reauirement file #142
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# @generated DO NOT EDIT MANUALLY | |
# Template is at: .github/templates/linux_binary_build_workflow.yml.j2 | |
# Generation script: .github/scripts/generate_ci_workflows.py | |
name: aa-linux-ppc64le-binary-manywheel | |
on: | |
push: | |
# NOTE: Meta Employees can trigger new nightlies using: https://fburl.com/trigger_pytorch_nightly_build | |
branches: | |
- temp-gha-runner-v3 | |
tags: | |
# NOTE: Binary build pipelines should only get triggered on release candidate builds | |
# Release candidate tags look like: v1.11.0-rc1 | |
- v[0-9]+.[0-9]+.[0-9]+-rc[0-9]+ | |
- 'ciflow/binaries/*' | |
- 'ciflow/binaries_wheel/*' | |
workflow_dispatch: | |
env: | |
# Needed for conda builds | |
ALPINE_IMAGE: "docker.io/ppc64le/alpine" | |
AWS_DEFAULT_REGION: us-east-1 | |
BINARY_ENV_FILE: /tmp/env | |
BUILD_ENVIRONMENT: linux-ppc64le-binary-manywheel | |
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} | |
PR_NUMBER: ${{ github.event.pull_request.number }} | |
PYTORCH_FINAL_PACKAGE_DIR: /artifacts | |
PYTORCH_ROOT: /pytorch | |
SHA1: ${{ github.event.pull_request.head.sha || github.sha }} | |
SKIP_ALL_TESTS: 0 | |
concurrency: | |
group: linux-ppc64le-binary-manywheel-${{ github.event.pull_request.number || github.ref_name }}-${{ github.ref_type == 'branch' && github.sha }}-${{ github.event_name == 'workflow_dispatch' }} | |
cancel-in-progress: true | |
jobs: | |
get-label-type: | |
name: get-label-type | |
uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@main | |
with: | |
triggering_actor: ${{ github.triggering_actor }} | |
issue_owner: ${{ github.event.pull_request.user.login || github.event.issue.user.login }} | |
curr_branch: ${{ github.head_ref || github.ref_name }} | |
curr_ref_type: ${{ github.ref_type }} | |
manywheel-py3_9-cpu-ppc64le-build: | |
uses: ./.github/workflows/_binary-build-linux.yml | |
with: | |
PYTORCH_ROOT: /pytorch | |
PACKAGE_TYPE: manywheel | |
# TODO: This is a legacy variable that we eventually want to get rid of in | |
# favor of GPU_ARCH_VERSION | |
DESIRED_CUDA: cpu | |
GPU_ARCH_TYPE: cpu-ppc64le | |
DOCKER_IMAGE: pytorch/manylinuxppc64le-builder | |
DOCKER_IMAGE_TAG_PREFIX: cpu-ppc64le-main | |
use_split_build: False | |
DESIRED_PYTHON: "3.9" | |
runs_on: ubuntu-24.04-ppc64le-2xlarge | |
ALPINE_IMAGE: "docker.io/ppc64le/alpine" | |
timeout-minutes: 420 | |
build_name: manywheel-py3_9-cpu-ppc64le | |
build_environment: linux-ppc64le-binary-manywheel | |
PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.26.2; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux' and platform_machine == 'x86_64' | |
secrets: | |
github-token: ${{ secrets.GITHUB_TOKEN }} |