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Merge pull request #47 from ROCmSoftwarePlatform/IFU-2023-10-26 #22

Merge pull request #47 from ROCmSoftwarePlatform/IFU-2023-10-26

Merge pull request #47 from ROCmSoftwarePlatform/IFU-2023-10-26 #22

# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
name: FBGEMM_GPU-CUDA Release Build
on:
# PR Trigger (enabled for regression checks and debugging)
#
pull_request:
branches:
- main
# Push Trigger (enable to catch errors coming out of multiple merges)
#
push:
branches:
- main
# Manual Trigger
#
workflow_dispatch:
inputs:
publish_to_pypi:
description: Publish Artifact to PyPI
type: boolean
required: false
default: false
cuda_version:
description: CUDA Version to Use for PyPI Publishing
type: choice
required: false
options: [ "11.8.0", "12.1.1" ]
default: "12.1.1"
pytorch_channel:
description: PyTorch Package Channel
type: choice
required: false
options: [ "test", "release" ]
default: "test"
concurrency:
# Cancel previous runs in the PR if a new commit is pushed
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
cancel-in-progress: true
jobs:
# Build on CPU hosts and upload to GHA
build_artifact:
runs-on: ${{ matrix.host-machine.instance }}
container:
image: amazonlinux:2023
options: --user root
defaults:
run:
shell: bash
env:
PRELUDE: .github/scripts/setup_env.bash
BUILD_ENV: build_binary
continue-on-error: true
strategy:
# Don't fast-fail all the other builds if one of the them fails
fail-fast: false
matrix:
host-machine: [
{ arch: x86, instance: "linux.24xlarge" },
]
python-version: [ "3.8", "3.9", "3.10", "3.11" ]
cuda-version: [ "11.8.0", "12.1.1" ]
steps:
- name: Setup Build Container
run: yum update -y; yum install -y binutils findutils git pciutils sudo tar wget which
- name: Checkout the Repository
uses: actions/checkout@v3
with:
submodules: true
- name: Display System Info
run: . $PRELUDE; print_system_info
- name: Display GPU Info
run: . $PRELUDE; print_gpu_info
- name: Setup Miniconda
run: . $PRELUDE; setup_miniconda $HOME/miniconda
- name: Create Conda Environment
run: . $PRELUDE; create_conda_environment $BUILD_ENV ${{ matrix.python-version }}
- name: Install C/C++ Compilers
run: . $PRELUDE; install_cxx_compiler $BUILD_ENV
- name: Install Build Tools
run: . $PRELUDE; install_build_tools $BUILD_ENV
- name: Install CUDA
run: . $PRELUDE; install_cuda $BUILD_ENV ${{ matrix.cuda-version }}
- name: Install PyTorch Test
run: . $PRELUDE; install_pytorch_pip $BUILD_ENV ${{ github.event.inputs.pytorch_channel || 'test' }} cuda ${{ matrix.cuda-version }}
- name: Install cuDNN
run: . $PRELUDE; install_cudnn $BUILD_ENV "$(pwd)/build_only/cudnn" ${{ matrix.cuda-version }}
- name: Prepare FBGEMM_GPU Build
run: . $PRELUDE; cd fbgemm_gpu; prepare_fbgemm_gpu_build $BUILD_ENV
- name: Build FBGEMM_GPU
run: . $PRELUDE; cd fbgemm_gpu; build_fbgemm_gpu_package $BUILD_ENV release cuda
- name: Upload Built Wheel as GHA Artifact
uses: actions/upload-artifact@v3
with:
name: fbgemm_gpu_release_cuda_${{ matrix.host-machine.arch }}_${{ matrix.python-version }}_cu${{ matrix.cuda-version }}.whl
path: fbgemm_gpu/dist/fbgemm_gpu-*.whl
# Download the built artifact from GHA, test on GPU, and push to PyPI
test_and_publish_artifact:
runs-on: ${{ matrix.host-machine.instance }}
defaults:
run:
shell: bash
env:
PRELUDE: .github/scripts/setup_env.bash
BUILD_ENV: build_binary
ENFORCE_NVIDIA_GPU: 1
strategy:
fail-fast: false
matrix:
host-machine: [
{ arch: x86, instance: "linux.g5.4xlarge.nvidia.gpu" },
]
python-version: [ "3.8", "3.9", "3.10", "3.11" ]
cuda-version: [ "11.8.0", "12.1.1" ]
needs: build_artifact
steps:
- name: Checkout the Repository
uses: actions/checkout@v3
with:
submodules: true
- name: Download Wheel Artifact from GHA
uses: actions/download-artifact@v3
with:
name: fbgemm_gpu_release_cuda_${{ matrix.host-machine.arch }}_${{ matrix.python-version }}_cu${{ matrix.cuda-version }}.whl
- name: Install NVIDIA Drivers and NVIDIA-Docker Runtime
uses: pytorch/test-infra/.github/actions/setup-nvidia@main
- name: Display System Info
run: . $PRELUDE; print_system_info; print_ec2_info
- name: Display GPU Info
run: . $PRELUDE; print_gpu_info
- name: Setup Miniconda
run: . $PRELUDE; setup_miniconda $HOME/miniconda
- name: Create Conda Environment
run: . $PRELUDE; create_conda_environment $BUILD_ENV ${{ matrix.python-version }}
- name: Install CUDA
run: . $PRELUDE; install_cuda $BUILD_ENV ${{ matrix.cuda-version }}
- name: Install PyTorch Test
run: . $PRELUDE; install_pytorch_pip $BUILD_ENV ${{ github.event.inputs.pytorch_channel || 'test' }} cuda ${{ matrix.cuda-version }}
- name: Prepare FBGEMM_GPU Build
run: . $PRELUDE; cd fbgemm_gpu; prepare_fbgemm_gpu_build $BUILD_ENV
- name: Install FBGEMM_GPU
run: . $PRELUDE; install_fbgemm_gpu_wheel $BUILD_ENV *.whl
- name: Test with PyTest
timeout-minutes: 15
run: . $PRELUDE; cd fbgemm_gpu/test; run_fbgemm_gpu_tests $BUILD_ENV
- name: Push FBGEMM_GPU Binary to PYPI
if: ${{ github.event_name == 'workflow_dispatch' && github.event.inputs.publish_to_pypi == 'true' && matrix.cuda-version == github.event.inputs.cuda_version }}
env:
PYPI_TOKEN: ${{ secrets.PYPI_TOKEN }}
run: . $PRELUDE; publish_to_pypi $BUILD_ENV fbgemm_gpu-*.whl "$PYPI_TOKEN"