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.travis.yml
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.travis.yml
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sudo: required
dist: trusty
language: python
matrix:
include:
- python: 2.7
env:
- KERAS_BACKEND=tensorflow
- TENSORFLOW_V=1.4.1
- python: 2.7
env:
- KERAS_BACKEND=tensorflow
- TENSORFLOW_V=1.1.0
- python: 3.5
env:
- KERAS_BACKEND=tensorflow
- TENSORFLOW_V=1.1.0
- python: 3.5
env:
- KERAS_BACKEND=tensorflow
- TENSORFLOW_V=1.4.1
before_install:
- if [[ "$TRAVIS_PYTHON_VERSION" == "2.7" ]]; then
wget https://repo.continuum.io/miniconda/Miniconda2-latest-Linux-x86_64.sh -O miniconda.sh;
else
wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh;
fi
- bash miniconda.sh -b -p $HOME/miniconda
- export PATH="$HOME/miniconda/bin:$PATH"
- hash -r
- conda config --set always_yes yes --set changeps1 no
- conda update -q conda
- conda info -a
install:
- conda create -q -n test-environment python=$TRAVIS_PYTHON_VERSION numpy scipy matplotlib pandas h5py
- source activate test-environment
# Install TensorFlow
- if [[ "$TRAVIS_PYTHON_VERSION" == "2.7" && "$TENSORFLOW_V" == "1.4.1" ]]; then
pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.4.1-cp27-none-linux_x86_64.whl;
elif [[ "$TRAVIS_PYTHON_VERSION" == "2.7" && "$TENSORFLOW_V" == "1.1.0" ]]; then
pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.1.0-cp27-none-linux_x86_64.whl;
elif [[ "$TRAVIS_PYTHON_VERSION" == "3.5" && "$TENSORFLOW_V" == "1.4.1" ]]; then
pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.4.1-cp35-cp35m-linux_x86_64.whl;
elif [[ "$TRAVIS_PYTHON_VERSION" == "3.5" && "$TENSORFLOW_V" == "1.1.0" ]]; then
pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.1.0-cp35-cp35m-linux_x86_64.whl;
fi
- pip install keras
- conda install libgcc
- export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/travis/miniconda/envs/test-environment/lib
- export PYTHONPATH=".":$PYTHONPATH
script:
- mkdir ./data
- python -m unittest discover art/ -p '*_unittest.py'