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Ray Nightly0 Compatibility test #141

Ray Nightly0 Compatibility test

Ray Nightly0 Compatibility test #141

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# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
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# the License. You may obtain a copy of the License at
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name: Ray Nightly0 Compatibility test
on:
schedule:
- cron: '0 0 * * *'
workflow_dispatch:
jobs:
build-and-test:
strategy:
matrix:
os: [ ubuntu-latest ]
python-version: [3.7, 3.8, 3.9]
spark-version: [3.1.3, 3.2.3, 3.3.2]
runs-on: ${{ matrix.os }}
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
- name: Set up JDK 1.8
uses: actions/setup-java@v1
with:
java-version: 1.8
- name: Install extra dependencies for macOS
if: matrix.os == 'macos-latest'
run: |
brew install pkg-config
brew install libuv libomp mpich
- name: Install extra dependencies for Ubuntu
if: matrix.os == 'ubuntu-latest'
run: |
sudo apt-get install -y mpich
- name: Cache pip - Ubuntu
if: matrix.os == 'ubuntu-latest'
uses: actions/cache@v2
with:
path: ~/.cache/pip
key: ${{ matrix.os }}-${{ matrix.python-version }}-pip
- name: Cache pip - MacOS
if: matrix.os == 'macos-latest'
uses: actions/cache@v2
with:
path: ~/Library/Caches/pip
key: ${{ matrix.os }}-${{ matrix.python-version }}-pip
- name: Install dependencies
env:
PYTHON_VERSION: ${{ matrix.python-version }}
run: |
python -m pip install --upgrade pip
pip install wheel
pip install "numpy<1.24"
SUBVERSION=$(python -c 'import sys; print(sys.version_info[1])')
if [ "$(uname -s)" == "Linux" ]
then
pip install torch==1.8.1+cpu -f https://download.pytorch.org/whl/torch_stable.html
else
pip install torch
fi
case $PYTHON_VERSION in
3.7)
pip install "ray[default] @ https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl"
;;
3.8)
pip install "ray[default] @ https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp38-cp38-manylinux2014_x86_64.whl"
;;
3.9)
pip install "ray[default] @ https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp39-cp39-manylinux2014_x86_64.whl"
;;
esac
pip install pyarrow==6.0.1 pytest koalas tensorflow tabulate grpcio-tools wget
pip install "xgboost_ray[default]<=0.1.13"
pip install torchmetrics
HOROVOD_WITH_GLOO=1
HOROVOD_WITH_PYTORCH=1
pip install horovod[pytorch,ray]
- name: Cache Maven
uses: actions/cache@v2
with:
path: ~/.m2
key: ${{ matrix.os }}-m2-${{ hashFiles('core/pom.xml') }}
- name: Build and install
env:
GITHUB_CI: 1
run: |
pip install pyspark==${{ matrix.spark-version }}
./build.sh
pip install dist/raydp-*.whl
- name: Lint
run: |
pip install pylint==2.8.3
pylint --rcfile=python/pylintrc python/raydp
pylint --rcfile=python/pylintrc examples/*.py
- name: Test with pytest
run: |
ray start --head --num-cpus 6
pytest python/raydp/tests/ -v -m"not error_on_custom_resource"
pytest python/raydp/tests/ -v -m"error_on_custom_resource"
ray stop --force
- name: Test Examples
run: |
ray start --head
python examples/raydp-submit.py
ray stop
python examples/pytorch_nyctaxi.py
python examples/tensorflow_nyctaxi.py
python examples/horovod_nyctaxi.py
python examples/xgboost_ray_nyctaxi.py
# python examples/raytrain_nyctaxi.py
python examples/data_process.py