Updates the URL of the character n-gram embeddings in vectors.py #1162
Workflow file for this run
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name: Unit-tests on Macos 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/macos_job.yml@main | |
with: | |
runner: macos-12 | |
repository: pytorch/text | |
timeout: 60 | |
script: | | |
# Mark Build Directory Safe | |
git config --global --add safe.directory /__w/text/text | |
# Set up Environment Variables | |
export PYTHON_VERSION="${{ matrix.python_version }}" | |
export VERSION="cpu" | |
export CUDATOOLKIT="cpuonly" | |
# Set CHANNEL | |
if [[ (${GITHUB_EVENT_NAME} = 'pull_request' && (${GITHUB_BASE_REF} = 'release'*)) || (${GITHUB_REF} = 'refs/heads/release'*) ]]; then | |
export CHANNEL=test | |
else | |
export CHANNEL=nightly | |
fi | |
# TODO: this can be removed as soon as linking issue could be resolved | |
# see https://github.com/pytorch/pytorch/issues/62424 from details | |
export MKL_CONSTRAINT='mkl==2021.2.0' | |
# Create Conda Env | |
conda create -yp ./ci_env python="${PYTHON_VERSION}" | |
conda activate ./ci_env | |
python3 -m pip --quiet install cmake>=3.18.0 ninja | |
conda env update --file ".circleci/unittest/linux/scripts/environment.yml" --prune | |
# TorchText-specific Setup | |
printf "* Downloading SpaCy English models\n" | |
python -m spacy download en_core_web_sm | |
printf "* Downloading SpaCy German models\n" | |
python -m spacy download de_core_news_sm | |
# Install PyTorch, Torchvision, and TorchData | |
set -ex | |
conda install \ | |
--yes \ | |
-c "pytorch-${CHANNEL}" \ | |
-c nvidia \ | |
"${MKL_CONSTRAINT}" \ | |
pytorch \ | |
"${CUDATOOLKIT}" | |
printf "Installing torchdata nightly\n" | |
python3 -m pip install "portalocker>=2.0.0" | |
python3 -m pip install --pre torchdata --extra-index-url https://download.pytorch.org/whl/nightly/cpu | |
python3 setup.py develop | |
python3 -m pip install parameterized | |
# Run Tests | |
python3 -m torch.utils.collect_env | |
cd test | |
python3 -m pytest --cov=torchtext --junitxml=test-results/junit.xml -v --durations 20 torchtext_unittest |