mirror of
https://github.com/pybind/pybind11.git
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ee053e9236
Integrated the CUDA example seamlessly into the other examples if found. The CUDA example needs to be the last one.
76 lines
2.6 KiB
YAML
76 lines
2.6 KiB
YAML
language: cpp
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sudo: false
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cache:
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apt: true
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addons:
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apt:
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sources:
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- ubuntu-toolchain-r-test
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- deadsnakes
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packages:
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- g++-4.9
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- g++-4.8
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- g++-4.8-multilib
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- g++-multilib
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- python3.5
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- python3.5-dev
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- python3.5-venv
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- python3.5-dev:i386
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matrix:
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include:
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- os: linux
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compiler: gcc-4.8
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script:
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- pyvenv-3.5 venv
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- cmake -DPYBIND11_PYTHON_VERSION=3.5 -DPYTHON_INCLUDE_DIR:PATH=/usr/include/python3.5m -DPYTHON_LIBRARY:FILEPATH=/usr/lib/x86_64-linux-gnu/libpython3.5m.so -DPYTHON_EXECUTABLE:FILEPATH=`pwd`/venv/bin/python3.5 -DCMAKE_CXX_COMPILER=g++-4.8
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- make -j 2
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- source venv/bin/activate
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- pip install numpy
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- CTEST_OUTPUT_ON_FAILURE=TRUE make test
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- os: linux
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compiler: gcc-4.9
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env:
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- CUDA_DIR: $HOME/.cache/cuda
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cache:
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directories:
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- $HOME/.cache/cuda
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before_script:
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- python3.5-config --cflags --ldflags --libs
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- export LD_LIBRARY_PATH=$CUDA_DIR/lib64:$LD_LIBRARY_PATH
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- export PATH=$CUDA_DIR/bin:$PATH
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- NVCC_FOUND=$(which nvcc >/dev/null && { echo 0; } || { echo 1; })
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- echo $CUDA_DIR
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- ls $CUDA_DIR/
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- if [ $NVCC_FOUND -ne 0 ]; then
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mkdir -p $CUDA_DIR &&
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cd $CUDA_DIR &&
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travis_retry wget http://developer.download.nvidia.com/compute/cuda/7.5/Prod/local_installers/cuda_7.5.18_linux.run &&
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chmod u+x *.run &&
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./cuda_7.5.18_linux.run --silent --verbose --toolkit --toolkitpath=$CUDA_DIR &&
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rm -f cuda_7.5.18_linux.run &&
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cd -;
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fi
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script:
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- pyvenv-3.5 venv
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- export CXX=`g++-4.9`
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- cmake -DPYBIND11_PYTHON_VERSION=3.5 -DPYTHON_INCLUDE_DIR:PATH=/usr/include/python3.5m -DPYTHON_LIBRARY:FILEPATH=/usr/lib/x86_64-linux-gnu/libpython3.5m.so -DPYTHON_EXECUTABLE:FILEPATH=`pwd`/venv/bin/python3.5
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- make -j 2
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- source venv/bin/activate
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- pip install numpy
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- CTEST_OUTPUT_ON_FAILURE=TRUE make test
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- os: osx
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compiler: clang
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script:
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- cmake -DPYBIND11_PYTHON_VERSION=2.7
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- make -j 2
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- CTEST_OUTPUT_ON_FAILURE=TRUE make test
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#- os: linux
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#compiler: gcc-4.8
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#script:
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#- pyvenv-3.5 venv
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#- cmake -DPYBIND11_PYTHON_VERSION=3.5 -DPYTHON_INCLUDE_DIR:PATH=/usr/include/python3.5m -DPYTHON_LIBRARY:FILEPATH=/usr/lib/x86_64-linux-gnu/libpython3.5m.so -DPYTHON_EXECUTABLE:FILEPATH=`pwd`/venv/bin/python3.5 -DCMAKE_CXX_COMPILER=g++-4.8 -DCMAKE_CXX_FLAGS=-m32
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#- make -j 2
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