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Simpler file chunking #2849

Simpler file chunking

Simpler file chunking #2849

Workflow file for this run

name: Run Domain Tests
on:
push:
branches:
- main
pull_request:
branches:
- main
# For PR created by ghstack
- gh/*/*/base
jobs:
torchvision:
if: ${{ github.repository_owner == 'pytorch' }}
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
os:
- macos-latest
- ubuntu-latest
- windows-latest
python-version:
- 3.8
- 3.9
steps:
- name: Setup Python ${{ matrix.python-version }}
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
- name: Install torch and torchvision from nightlies
run: |
pip install numpy networkx
pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu
- name: Check out torchdata repository
uses: actions/checkout@v3
- name: Install torchdata
run: |
pip install -r requirements.txt
pip install .
- name: Install test requirements
run: pip install pytest pytest-mock scipy iopath pycocotools h5py
- name: Extract torchvision ref
id: torchvision
run: echo "ref=$(python -c 'import torchvision; print(torchvision.version.git_version)')" >> $GITHUB_OUTPUT
- name: Check out torchvision repository
uses: actions/checkout@v3
with:
repository: pytorch/vision
ref: ${{ steps.torchvision.outputs.ref }}
path: vision
- name: Run torchvision builtin datasets tests
run: pytest --no-header -v vision/test/test_prototype_datasets_builtin.py
torchtext:
if: ${{ github.repository_owner == 'pytorch' }}
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
os:
- macos-latest
- ubuntu-latest
- windows-latest
python-version:
- 3.8
- 3.9
steps:
- name: Setup Python ${{ matrix.python-version }}
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
- name: Install torch and torchtext from nightlies
run: |
pip install numpy networkx
pip install --pre torch torchtext --index-url https://download.pytorch.org/whl/nightly/cpu
- name: Check out torchdata repository
uses: actions/checkout@v3
- name: Install torchdata
run: |
pip install -r requirements.txt
python setup.py install
- name: Install test requirements
run: pip install dill expecttest pytest iopath
- name: Run torchtext example datasets tests
if: ${{ ! contains(github.event.pull_request.labels.*.name, 'ciflow/slow') }}
run: pytest --no-header -v test/test_text_examples.py
- name: Run torchtext example datasets (including slow tests)
if: ${{ contains(github.event.pull_request.labels.*.name, 'ciflow/slow') }}
run: pytest --no-header -v test/test_text_examples.py
env:
PYTORCH_TEST_WITH_SLOW: 1
torchaudio:
if: ${{ github.repository_owner == 'pytorch' }}
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
os:
# - macos-latest
- ubuntu-latest
# - windows-latest
python-version:
- 3.9
steps:
- name: Setup Python ${{ matrix.python-version }}
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
- name: Install torch and torchaudio from nightlies
run: |
pip install networkx
pip install --pre torch torchaudio --index-url https://download.pytorch.org/whl/nightly/cpu
- name: Check out torchdata repository
uses: actions/checkout@v3
- name: Install torchdata
run: |
pip install -r requirements.txt
python setup.py install
- name: Install test requirements
run: pip install dill expecttest numpy pytest
- name: Run torchaudio example datasets tests
if: ${{ ! contains(github.event.pull_request.labels.*.name, 'ciflow/slow') }}
run: pytest --no-header -v test/test_audio_examples.py
- name: Run torchaudio example datasets (including slow tests)
if: ${{ contains(github.event.pull_request.labels.*.name, 'ciflow/slow') }}
run: pytest --no-header -v test/test_audio_examples.py
env:
PYTORCH_TEST_WITH_SLOW: 1
torcharrow:
if: ${{ github.repository_owner == 'pytorch' }}
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
os:
# - macos-latest
- ubuntu-latest
# - windows-latest
python-version:
- 3.8
- 3.9
steps:
- name: Setup Python ${{ matrix.python-version }}
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
- name: Install torch and torcharrow from nightlies
run: pip install --pre torch torcharrow -f https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html
- name: Check out torchdata repository
uses: actions/checkout@v3
- name: Install torchdata
run: |
pip install -r requirements.txt
python setup.py install
- name: Install test requirements
run: pip install dill expecttest numpy pytest
- name: Run torcharrow example datasets tests
if: ${{ ! contains(github.event.pull_request.labels.*.name, 'ciflow/slow') }}
run: pytest --no-header -v test/test_dataframe.py
- name: Run torcharrow example datasets (including slow tests)
if: ${{ contains(github.event.pull_request.labels.*.name, 'ciflow/slow') }}
run: pytest --no-header -v test/test_dataframe.py
env:
PYTORCH_TEST_WITH_SLOW: 1