зеркало из https://github.com/microsoft/LightGBM.git
[ci] use conda-forge in Linux and macOS CI jobs (#4953)
* [ci] use conda-forge in CI jobs (fixes #4948) * comment out more jobs * try reverting graphviz patch, running more cuda jobs * get graphviz from PyPI and try removing some patches for r-lintr * start running appveyor again * use conda-forge if using conda * fix commands * conda install graphviz * try newer openmp * pin below openmp 11.x * focus on gpu task * trying to narrow down error * maybe gcc11 is the issue * start adding other tests back * pin openmp too * maybe need to pin to gcc less than 10.x * pin libgfortran and libstdcxx as well * pin to gcc 9.3.0 * move constraints up to initial environment * add all CI jobs back * try installing python-graphviz separately * try new lightgbm/vsts-agent image * fix typo * test if pinning gcc for linux gpu_source build is still necessary * ok yes, pinning gcc is necessary * test if Linux gpu_source works with Python 3.9.6 * no special exception for Linux gpu_source job * pin to Python 3.9.6 in Linux gpu_source * try explicitly asking for libstdcxx-ng for every linux build * swap compilers * switch compilers back * revert accidental whitespace change * comment out CI * try Linux gpu_source with different Python versions * Revert "try Linux gpu_source with different Python versions" This reverts commitf6f63cbb9b
. * Revert "comment out CI" This reverts commitece191f01e
. * remove libxml2 install, change CONDA path * avoid installing conda in rchk job * empty commit 1 * empty commit 2 * empty commit 3 * empty commit 4 * add more verbose logging around installation of python-graphviz * empty commit 1 * get mamba info * get more conda info * add another mamba info call * allow for other macOS environments in GHA configuration * Revert "allow for other macOS environments in GHA configuration" This reverts commita3c7a19926
. * get more logs from mamba * get Build.ArtifactsStagingDirectory * get more logs and try to force re-installing everything * clean cache after every step * remove --update-all and make logs less verbose * remove more print statements and uncomment jobs * test if conda-clean issue fixes segfaults for gpu_source * pin python version for gpu_source * empty commit 1 * use miniforge instead * empty commit 1 * Apply suggestions from code review * bring workarounds back * remove duplicated graphviz system-wide installation (reverts #4095, #4097, #4238) * empty commit 1 * empty commit 2 * empty commit 3 * empty commit 4 * empty commit 5 * empty commit 6 * empty commit 7 * empty commit 8 * empty commit 9 * empty commit 10 * empty commit 10 * empty commit 10 * empty commit 10 * empty commit 11 * one more try * try to downgrade Python version for Linux GPU job * swap compilers * Revert "swap compilers" This reverts commitf04dc27b17
. Co-authored-by: Nikita Titov <nekit94-12@hotmail.com> Co-authored-by: Nikita Titov <nekit94-08@mail.ru>
This commit is contained in:
Родитель
0688f471fc
Коммит
3500cb67b9
38
.ci/setup.sh
38
.ci/setup.sh
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@ -17,8 +17,10 @@ if [[ $OS_NAME == "macos" ]]; then
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if [[ $TASK == "swig" ]]; then
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brew install swig
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fi
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brew install graphviz
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curl -sL -o conda.sh https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh
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curl \
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-sL \
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-o miniforge.sh \
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https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-MacOSX-x86_64.sh
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else # Linux
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if [[ $IN_UBUNTU_LATEST_CONTAINER == "true" ]]; then
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# fixes error "unable to initialize frontend: Dialog"
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@ -42,9 +44,6 @@ else # Linux
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libicu66 \
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libssl1.1 \
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libunwind8 \
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libxau6 \
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libxext6 \
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libxrender1 \
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locales \
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netcat \
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unzip \
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@ -81,16 +80,11 @@ else # Linux
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mv $AMDAPPSDK_PATH/lib/x86_64/sdk/* $AMDAPPSDK_PATH/lib/x86_64/
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echo libamdocl64.so > $OPENCL_VENDOR_PATH/amdocl64.icd
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fi
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ARCH=$(uname -m)
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if [[ $TASK == "cuda" ]]; then
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echo 'debconf debconf/frontend select Noninteractive' | debconf-set-selections
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apt-get update
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apt-get install --no-install-recommends -y \
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curl \
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graphviz \
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libxau6 \
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libxext6 \
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libxrender1 \
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lsb-release \
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software-properties-common
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if [[ $COMPILER == "clang" ]]; then
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@ -103,29 +97,19 @@ else # Linux
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apt-get update
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apt-get install --no-install-recommends -y \
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cmake
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else
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if [[ $ARCH != "x86_64" ]]; then
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yum update -y
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yum install -y \
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graphviz
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else
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sudo apt-get update
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sudo apt-get install --no-install-recommends -y \
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graphviz
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fi
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fi
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if [[ $SETUP_CONDA != "false" ]]; then
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if [[ $ARCH == "x86_64" ]]; then
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curl -sL -o conda.sh https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
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else
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curl -sL -o conda.sh https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-Linux-${ARCH}.sh
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fi
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ARCH=$(uname -m)
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curl \
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-sL \
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-o miniforge.sh \
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https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-Linux-${ARCH}.sh
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fi
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fi
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if [[ "${TASK}" != "r-package" ]]; then
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if [[ "${TASK}" != "r-package" ]] && [[ "${TASK}" != "r-rchk" ]]; then
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if [[ $SETUP_CONDA != "false" ]]; then
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sh conda.sh -b -p $CONDA
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sh miniforge.sh -b -p $CONDA
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fi
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conda config --set always_yes yes --set changeps1 no
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conda update -q -y conda
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35
.ci/test.sh
35
.ci/test.sh
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@ -62,16 +62,13 @@ fi
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if [[ $TASK == "lint" ]]; then
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conda install -q -y -n $CONDA_ENV \
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cmakelint \
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cpplint \
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isort \
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mypy \
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pycodestyle \
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pydocstyle \
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r-stringi # stringi needs to be installed separate from r-lintr to avoid issues like 'unable to load shared object stringi.so'
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# r-xfun below has to be upgraded because lintr requires > 0.19 for that package
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conda install -q -y -n $CONDA_ENV \
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-c conda-forge \
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libxml2 \
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"r-xfun>=0.19" \
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"r-lintr>=2.0"
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pip install --user cmakelint cpplint isort mypy
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echo "Linting Python code"
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pycodestyle --ignore=E501,W503 --exclude=./.nuget,./external_libs . || exit -1
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pydocstyle --convention=numpy --add-ignore=D105 --match-dir="^(?!^external_libs|test|example).*" --match="(?!^test_|setup).*\.py" . || exit -1
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@ -114,8 +111,22 @@ if [[ $TASK == "swig" ]]; then
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exit 0
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fi
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conda install -q -y -n $CONDA_ENV cloudpickle "dask=2021.9.1" "distributed=2021.9.1" joblib matplotlib numpy pandas psutil pytest scikit-learn scipy
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pip install graphviz # python-graphviz from Anaconda is not allowed to be installed with Python 3.9
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conda install -q -y -n $CONDA_ENV \
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cloudpickle \
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dask \
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distributed \
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joblib \
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matplotlib \
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numpy \
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pandas \
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psutil \
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pytest \
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scikit-learn \
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scipy || exit -1
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# python-graphviz has to be installed separately to prevent conda from downgrading to pypy
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conda install -q -y -n $CONDA_ENV \
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python-graphviz || exit -1
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if [[ $OS_NAME == "macos" ]] && [[ $COMPILER == "clang" ]]; then
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# fix "OMP: Error #15: Initializing libiomp5.dylib, but found libomp.dylib already initialized." (OpenMP library conflict due to conda's MKL)
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@ -229,7 +240,11 @@ import matplotlib\
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matplotlib.use\(\"Agg\"\)\
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' plot_example.py # prevent interactive window mode
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sed -i'.bak' 's/graph.render(view=True)/graph.render(view=False)/' plot_example.py
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conda install -q -y -n $CONDA_ENV h5py ipywidgets notebook # requirements for examples
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# requirements for examples
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conda install -q -y -n $CONDA_ENV \
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h5py \
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ipywidgets \
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notebook
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for f in *.py **/*.py; do python $f || exit -1; done # run all examples
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cd $BUILD_DIRECTORY/examples/python-guide/notebooks
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sed -i'.bak' 's/INTERACTIVE = False/assert False, \\"Interactive mode disabled\\"/' interactive_plot_example.ipynb
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@ -81,7 +81,7 @@ jobs:
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LGB_VER=$(head -n 1 VERSION.txt)
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EOF
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cat > docker-script.sh <<EOF
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export CONDA=\$HOME/miniconda
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export CONDA=\$HOME/miniforge
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export PATH=\$CONDA/bin:\$PATH
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nvidia-smi
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$ROOT_DOCKER_FOLDER/.ci/setup.sh || exit -1
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@ -27,7 +27,7 @@ jobs:
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- name: Setup and run tests
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run: |
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export BUILD_DIRECTORY="$GITHUB_WORKSPACE"
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export CONDA=${HOME}/miniconda
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export CONDA=${HOME}/miniforge
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export PATH=${CONDA}/bin:${HOME}/.local/bin:${PATH}
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$GITHUB_WORKSPACE/.ci/setup.sh || exit -1
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$GITHUB_WORKSPACE/.ci/test.sh || exit -1
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@ -66,7 +66,7 @@ jobs:
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fi
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export BUILD_DIRECTORY="$GITHUB_WORKSPACE"
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export LGB_VER=$(head -n 1 VERSION.txt)
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export CONDA=${HOME}/miniconda
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export CONDA=${HOME}/miniforge
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export PATH=${CONDA}/bin:${PATH}
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$GITHUB_WORKSPACE/.ci/setup.sh || exit -1
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$GITHUB_WORKSPACE/.ci/test.sh || exit -1
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@ -39,7 +39,7 @@ jobs:
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run: |
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export TASK="${{ matrix.task }}"
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export BUILD_DIRECTORY="$GITHUB_WORKSPACE"
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export CONDA=${HOME}/miniconda
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export CONDA=${HOME}/miniforge
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export PATH=${CONDA}/bin:$HOME/.local/bin:${PATH}
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$GITHUB_WORKSPACE/.ci/setup.sh || exit -1
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$GITHUB_WORKSPACE/.ci/test.sh || exit -1
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11
.vsts-ci.yml
11
.vsts-ci.yml
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@ -14,7 +14,7 @@ variables:
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resources:
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containers:
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- container: ubuntu1404
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image: lightgbm/vsts-agent:ubuntu-14.04
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image: lightgbm/vsts-agent:ubuntu-14.04-dev
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- container: ubuntu-latest
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image: 'ubuntu:latest'
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options: "--name ci-container -v /usr/bin/docker:/tmp/docker:ro"
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gpu_source:
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TASK: gpu
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METHOD: source
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# on Ubuntu 14.04, gpu_source build segfaults with newer version of Python
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# (and newer version of scipy as a consequence)
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PYTHON_VERSION: 3.7
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swig:
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TASK: swig
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steps:
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- script: |
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echo "##vso[task.setvariable variable=BUILD_DIRECTORY]$BUILD_SOURCESDIRECTORY"
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echo "##vso[task.setvariable variable=LGB_VER]$(head -n 1 VERSION.txt)"
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CONDA=$HOME/miniconda
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CONDA=$HOME/miniforge
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echo "##vso[task.setvariable variable=CONDA]$CONDA"
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echo "##vso[task.prependpath]$CONDA/bin"
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AMDAPPSDK_PATH=$BUILD_SOURCESDIRECTORY/AMDAPPSDK
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BUILD_ARTIFACTSTAGINGDIRECTORY=$BUILD_ARTIFACTSTAGINGDIRECTORY
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EOF
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cat > docker-script.sh <<EOF
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export CONDA=\$HOME/miniconda
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export CONDA=\$HOME/miniforge
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export PATH=\$CONDA/bin:\$PATH
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$ROOT_DOCKER_FOLDER/.ci/setup.sh || exit -1
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$ROOT_DOCKER_FOLDER/.ci/test.sh || exit -1
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- script: |
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echo "##vso[task.setvariable variable=BUILD_DIRECTORY]$BUILD_SOURCESDIRECTORY"
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echo "##vso[task.setvariable variable=LGB_VER]$(head -n 1 VERSION.txt)"
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CONDA=$AGENT_HOMEDIRECTORY/miniconda
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CONDA=$AGENT_HOMEDIRECTORY/miniforge
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echo "##vso[task.setvariable variable=CONDA]$CONDA"
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echo "##vso[task.prependpath]$CONDA/bin"
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echo "##vso[task.setvariable variable=JAVA_HOME]$JAVA_HOME_8_X64"
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