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Push Binary Release #56

Push Binary Release

Push Binary Release #56

Workflow file for this run

# 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_release:
strategy:
matrix:
include:
- os: linux.g5.12xlarge.nvidia.gpu
python-version: 3.9
python-tag: "py39"
cuda-tag: "cu124"
- os: linux.g5.12xlarge.nvidia.gpu
python-version: '3.10'
python-tag: "py310"
cuda-tag: "cu124"
- os: linux.g5.12xlarge.nvidia.gpu
python-version: '3.11'
python-tag: "py311"
cuda-tag: "cu124"
- os: linux.g5.12xlarge.nvidia.gpu
python-version: '3.12'
python-tag: "py312"
cuda-tag: "cu124"
uses: pytorch/test-infra/.github/workflows/linux_job.yml@main
with:
runner: ${{ matrix.os }}
timeout: 30
env:
PYPI_TOKEN: ${{ secrets.PYPI_TOKEN }}

Check failure on line 39 in .github/workflows/release_build.yml

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The workflow is not valid. .github/workflows/release_build.yml (Line: 39, Col: 9): A mapping was not expected
script: |
ldd --version
conda create -y --name build_binary python=${{ matrix.python-version }}
conda info
python --version
conda run -n build_binary python --version
conda run -n build_binary pip install torch
conda run -n build_binary pip install numpy
conda run -n build_binary pip install fbgemm-gpu
conda run -n build_binary python -m pip install -r requirements.txt
conda run -n build_binary python -c "import torch.distributed"
echo "torch.distributed succeeded"
conda run -n build_binary python -c "import skbuild"
echo "skbuild succeeded"
conda run -n build_binary python -c "import numpy"
echo "numpy succeeded"
rm -r dist || true
conda run -n build_binary \
python setup.py bdist_wheel \
--python-tag=${{ matrix.python-tag }}
conda run -n build_binary \
python -c "import fbgemm_gpu"
conda run -n build_binary \
python -c "import torchrec"
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 \
dist/torchrec-*.whl