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2023-08-10 nightly release (b5e2a1b0a7a0c570ddef4008bc67773042415e0f) #278

2023-08-10 nightly release (b5e2a1b0a7a0c570ddef4008bc67773042415e0f)

2023-08-10 nightly release (b5e2a1b0a7a0c570ddef4008bc67773042415e0f) #278

name: Unit-tests on Windows CPU
on:
pull_request:
push:
branches:
- nightly
- main
- release/*
workflow_dispatch:
env:
CHANNEL: "nightly"
jobs:
tests:
strategy:
matrix:
python_version: ["3.8", "3.9", "3.10"]
fail-fast: false
uses: pytorch/test-infra/.github/workflows/windows_job.yml@main
with:
runner: windows.4xlarge
repository: pytorch/text
script: |
set -euxo pipefail
# Mark Build Directory Safe
git config --global --add safe.directory /__w/text/text
# Set up Environment Variables
export PYTHON_VERSION="${{ matrix.python_version }}"
export VERSION="cpu"
# Set CHANNEL
if [[ (${GITHUB_EVENT_NAME} = 'pull_request' && (${GITHUB_BASE_REF} = 'release'*)) || (${GITHUB_REF} = 'refs/heads/release'*) ]]; then
export CHANNEL=test
else
export CHANNEL=nightly
fi
# Create Conda Env
conda create -y --name ci_env python="${PYTHON_VERSION}"
conda activate ci_env
python -m pip --quiet install cmake>=3.18.0 ninja
conda env update --file ".circleci/unittest/windows/scripts/environment.yml" --prune
# TorchText-specific Setup
printf "* Downloading SpaCy English models\n"
python -m spacy download en_core_web_sm
printf "* Downloading SpaCy German models\n"
python -m spacy download de_core_news_sm
# Install PyTorch, Torchvision, and TorchData
conda install \
--yes \
-c "pytorch-${CHANNEL}" \
pytorch \
cpuonly
printf "Installing torchdata nightly\n"
python -m pip install "portalocker>=2.0.0"
python -m pip install --pre torchdata --extra-index-url https://download.pytorch.org/whl/nightly/cpu
printf "* Installing pywin32_postinstall script\n"
curl --output pywin32_postinstall.py https://raw.githubusercontent.com/mhammond/pywin32/main/pywin32_postinstall.py
python pywin32_postinstall.py -install
"packaging/vc_env_helper.bat" python setup.py develop
python -m pip install parameterized
# Run Tests
python -m torch.utils.collect_env
cd test
python -m pytest --cov=torchtext --junitxml=test-results/junit.xml -v --durations 20 torchtext_unittest