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[torch/distributed] Check gloo availability when doing isinstance(pg,… #13

[torch/distributed] Check gloo availability when doing isinstance(pg,…

[torch/distributed] Check gloo availability when doing isinstance(pg,… #13

# @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: linux-binary-manywheel
on:
push:
branches:
- main
tags:
- 'ciflow/trunk/*'
workflow_dispatch:
env:
# 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
BUILD_ENVIRONMENT: linux-binary-manywheel
BUILDER_ROOT: /builder
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
PR_NUMBER: ${{ github.event.pull_request.number }}
PYTORCH_FINAL_PACKAGE_DIR: /artifacts
PYTORCH_ROOT: /pytorch
SHA1: ${{ github.event.pull_request.head.sha || github.sha }}
SKIP_ALL_TESTS: 1
concurrency:
group: linux-binary-manywheel-${{ github.event.pull_request.number || github.ref_name }}-${{ github.ref_type == 'branch' && github.sha }}-${{ github.event_name == 'workflow_dispatch' }}
cancel-in-progress: true
jobs:
manywheel-py3_8-cuda11_8-build:
if: ${{ github.repository_owner == 'pytorch' }}
uses: ./.github/workflows/_binary-build-linux.yml
with:
PYTORCH_ROOT: /pytorch
BUILDER_ROOT: /builder
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: cu118
GPU_ARCH_VERSION: 11.8
GPU_ARCH_TYPE: cuda
DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-main
DESIRED_PYTHON: "3.8"
build_name: manywheel-py3_8-cuda11_8
build_environment: linux-binary-manywheel
PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu11==11.8.89; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu11==11.8.89; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu11==11.8.87; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu11==8.7.0.84; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu11==11.11.3.6; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu11==10.9.0.58; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu11==10.3.0.86; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu11==11.4.1.48; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu11==11.7.5.86; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu11==2.20.5; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu11==11.8.86; platform_system == 'Linux' and platform_machine == 'x86_64'
secrets:
github-token: ${{ secrets.GITHUB_TOKEN }}
manywheel-py3_8-cuda11_8-test: # Testing
if: ${{ github.repository_owner == 'pytorch' }}
needs: manywheel-py3_8-cuda11_8-build
uses: ./.github/workflows/_binary-test-linux.yml
with:
PYTORCH_ROOT: /pytorch
BUILDER_ROOT: /builder
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: cu118
GPU_ARCH_VERSION: 11.8
GPU_ARCH_TYPE: cuda
DOCKER_IMAGE: pytorch/manylinux-builder:cuda11.8-main
DESIRED_PYTHON: "3.8"
build_name: manywheel-py3_8-cuda11_8
build_environment: linux-binary-manywheel
runs_on: linux.4xlarge.nvidia.gpu
secrets:
github-token: ${{ secrets.GITHUB_TOKEN }}
manywheel-py3_8-cuda12_1-build:
if: ${{ github.repository_owner == 'pytorch' }}
uses: ./.github/workflows/_binary-build-linux.yml
with:
PYTORCH_ROOT: /pytorch
BUILDER_ROOT: /builder
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: cu121
GPU_ARCH_VERSION: 12.1
GPU_ARCH_TYPE: cuda
DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-main
DESIRED_PYTHON: "3.8"
build_name: manywheel-py3_8-cuda12_1
build_environment: linux-binary-manywheel
PYTORCH_EXTRA_INSTALL_REQUIREMENTS: nvidia-cuda-nvrtc-cu12==12.1.105; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-runtime-cu12==12.1.105; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cuda-cupti-cu12==12.1.105; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cudnn-cu12==8.9.2.26; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cublas-cu12==12.1.3.1; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cufft-cu12==11.0.2.54; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-curand-cu12==10.3.2.106; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusolver-cu12==11.4.5.107; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-cusparse-cu12==12.1.0.106; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nccl-cu12==2.20.5; platform_system == 'Linux' and platform_machine == 'x86_64' | nvidia-nvtx-cu12==12.1.105; platform_system == 'Linux' and platform_machine == 'x86_64'
secrets:
github-token: ${{ secrets.GITHUB_TOKEN }}
manywheel-py3_8-cuda12_1-test: # Testing
if: ${{ github.repository_owner == 'pytorch' }}
needs: manywheel-py3_8-cuda12_1-build
uses: ./.github/workflows/_binary-test-linux.yml
with:
PYTORCH_ROOT: /pytorch
BUILDER_ROOT: /builder
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: cu121
GPU_ARCH_VERSION: 12.1
GPU_ARCH_TYPE: cuda
DOCKER_IMAGE: pytorch/manylinux-builder:cuda12.1-main
DESIRED_PYTHON: "3.8"
build_name: manywheel-py3_8-cuda12_1
build_environment: linux-binary-manywheel
runs_on: linux.4xlarge.nvidia.gpu
secrets:
github-token: ${{ secrets.GITHUB_TOKEN }}