Push Binary Release #43
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
# This workflow will install Python dependencies, run tests and lint with a variety of Python versions | |
# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions | |
name: Push Binary Release | |
on: | |
workflow_call: | |
secrets: | |
PYPI_TOKEN: | |
required: false | |
workflow_dispatch: | |
jobs: | |
# build on cpu hosts and upload to GHA | |
build_on_cpu: | |
runs-on: ${{ matrix.os }} | |
strategy: | |
matrix: | |
include: | |
- os: linux.2xlarge | |
python-version: 3.8 | |
python-tag: "py38" | |
cuda-tag: "cu121" | |
- os: linux.2xlarge | |
python-version: 3.9 | |
python-tag: "py39" | |
cuda-tag: "cu121" | |
- os: linux.2xlarge | |
python-version: '3.10' | |
python-tag: "py310" | |
cuda-tag: "cu121" | |
- os: linux.2xlarge | |
python-version: '3.11' | |
python-tag: "py311" | |
cuda-tag: "cu121" | |
- os: linux.2xlarge | |
python-version: '3.12' | |
python-tag: "py312" | |
cuda-tag: "cu121" | |
steps: | |
# Checkout the repository to the GitHub Actions runner | |
- name: Check ldd --version | |
run: ldd --version | |
- name: Checkout | |
uses: actions/checkout@v2 | |
- name: Update pip | |
run: | | |
sudo yum update -y | |
sudo yum -y install git python3-pip | |
sudo pip3 install --upgrade pip | |
- name: Setup conda | |
run: | | |
wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda.sh | |
bash ~/miniconda.sh -b -p $HOME/miniconda -u | |
- name: setup Path | |
run: | | |
echo "/home/ec2-user/miniconda/bin" >> $GITHUB_PATH | |
echo "CONDA=/home/ec2-user/miniconda" >> $GITHUB_PATH | |
- name: create conda env | |
run: | | |
conda create --name build_binary python=${{ matrix.python-version }} | |
conda info | |
- name: check python version no Conda | |
run: | | |
python --version | |
- name: check python version | |
run: | | |
conda run -n build_binary python --version | |
- name: Install C/C++ compilers | |
run: | | |
sudo yum install -y gcc gcc-c++ | |
- name: Install PyTorch and CUDA | |
shell: bash | |
run: | | |
conda run -n build_binary pip install torch --index-url https://download.pytorch.org/whl/test/cu121 | |
- name: Install fbgemm | |
shell: bash | |
run: | | |
conda run -n build_binary pip install numpy | |
conda run -n build_binary pip install fbgemm-gpu --index-url https://download.pytorch.org/whl/test/cu121 | |
- name: Install Dependencies | |
shell: bash | |
run: | | |
conda run -n build_binary python -m pip install -r requirements.txt | |
- name: Test Installation of dependencies | |
run: | | |
conda run -n build_binary python -c "import torch.distributed" | |
echo "torch.distributed succeeded" | |
conda run -n build_binary python -c "import skbuild" | |
echo "skbuild succeeded" | |
conda run -n build_binary python -c "import numpy" | |
echo "numpy succeeded" | |
# for the conda run with quotes, we have to use "\" and double quotes | |
# here is the issue: https://github.com/conda/conda/issues/10972 | |
- name: Build TorchRec | |
run: | | |
rm -r dist || true | |
conda run -n build_binary \ | |
python setup.py bdist_wheel \ | |
--python-tag=${{ matrix.python-tag }} | |
- name: Upload wheel as GHA artifact | |
uses: actions/upload-artifact@v2 | |
with: | |
name: torchrec_${{ matrix.python-version }}_${{ matrix.cuda-tag }}.whl | |
path: dist/torchrec-*.whl | |
# download from GHA, sanity check on gpu and push to pypi | |
sanity_check_on_gpu_and_push: | |
runs-on: ${{ matrix.os }} | |
strategy: | |
matrix: | |
os: [linux.4xlarge.nvidia.gpu] | |
python-version: [3.8, 3.9, "3.10", "3.11", "3.12"] | |
cuda-tag: ["cu121"] | |
needs: build_on_cpu | |
# the glibc version should match the version of the one we used to build the binary | |
# for this case, it's 2.26 | |
steps: | |
- name: Check ldd --version | |
run: ldd --version | |
- name: check cpu info | |
shell: bash | |
run: | | |
cat /proc/cpuinfo | |
- name: check distribution info | |
shell: bash | |
run: | | |
cat /proc/version | |
- name: Display EC2 information | |
shell: bash | |
run: | | |
set -euo pipefail | |
function get_ec2_metadata() { | |
# Pulled from instance metadata endpoint for EC2 | |
# see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html | |
category=$1 | |
curl -fsSL "http://169.254.169.254/latest/meta-data/${category}" | |
} | |
echo "ami-id: $(get_ec2_metadata ami-id)" | |
echo "instance-id: $(get_ec2_metadata instance-id)" | |
echo "instance-type: $(get_ec2_metadata instance-type)" | |
- name: check gpu info | |
shell: bash | |
run: | | |
sudo yum install lshw -y | |
sudo lshw -C display | |
# Checkout the repository to the GitHub Actions runner | |
- name: Checkout | |
uses: actions/checkout@v2 | |
- name: Update pip | |
run: | | |
sudo yum update -y | |
sudo yum -y install git python3-pip | |
sudo pip3 install --upgrade pip | |
- name: Setup conda | |
run: | | |
wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda.sh | |
bash ~/miniconda.sh -b -p $HOME/miniconda | |
- name: setup Path | |
run: | | |
echo "/home/ec2-user/miniconda/bin" >> $GITHUB_PATH | |
echo "CONDA=/home/ec2-user/miniconda" >> $GITHUB_PATH | |
- name: create conda env | |
run: | | |
conda create --name build_binary python=${{ matrix.python-version }} | |
conda info | |
- name: check python version no Conda | |
run: | | |
python --version | |
- name: check python version | |
run: | | |
conda run -n build_binary python --version | |
- name: Install C/C++ compilers | |
run: | | |
sudo yum install -y gcc gcc-c++ | |
- name: Install PyTorch and CUDA | |
shell: bash | |
run: | | |
conda run -n build_binary pip install torch --index-url https://download.pytorch.org/whl/test/cu121 | |
# download wheel from GHA | |
- name: Install fbgemm | |
shell: bash | |
run: | | |
conda run -n build_binary pip install numpy | |
conda run -n build_binary pip install fbgemm-gpu --index-url https://download.pytorch.org/whl/test/cu121 | |
- name: Install torchmetrics | |
shell: bash | |
run: | | |
conda run -n build_binary pip install torchmetrics==1.0.3 | |
- name: Download wheel | |
uses: actions/download-artifact@v2 | |
with: | |
name: torchrec_${{ matrix.python-version }}_${{ matrix.cuda-tag }}.whl | |
- name: Display structure of downloaded files | |
run: ls -R | |
- name: Install TorchRec | |
run: | | |
rm -r dist || true | |
conda run -n build_binary python -m pip install *.whl | |
- name: Test fbgemm_gpu and torchrec installation | |
shell: bash | |
run: | | |
conda run -n build_binary \ | |
python -c "import fbgemm_gpu" | |
conda run -n build_binary \ | |
python -c "import torchrec" | |
# Push to Pypi | |
- name: Push TorchRec Binary to PYPI | |
env: | |
PYPI_TOKEN: ${{ secrets.PYPI_TOKEN }} | |
run: | | |
conda run -n build_binary python -m pip install twine | |
conda run -n build_binary \ | |
python -m twine upload \ | |
--username __token__ \ | |
--password "$PYPI_TOKEN" \ | |
--skip-existing \ | |
torchrec-*.whl |