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.travis.yml
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.travis.yml
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sudo: required
dist: trusty
language: python
cache:
directories:
- $HOME/.theano
matrix:
include:
- python: 2.7
env: KERAS_BACKEND=tensorflow TEST_MODE=INTEGRATION_TESTS
- python: 3.6
env: KERAS_BACKEND=tensorflow TEST_MODE=PEP8_DOC
- python: 2.7
env: KERAS_BACKEND=tensorflow
- python: 3.6
env: KERAS_BACKEND=tensorflow
- python: 2.7
env: KERAS_BACKEND=theano THEANO_FLAGS=optimizer=fast_compile
- python: 3.6
env: KERAS_BACKEND=theano THEANO_FLAGS=optimizer=fast_compile
- python: 2.7
env: KERAS_BACKEND=cntk PYTHONWARNINGS=ignore
- python: 3.6
env: KERAS_BACKEND=cntk PYTHONWARNINGS=ignore
install:
# code below is taken from http://conda.pydata.org/docs/travis.html
# We do this conditionally because it saves us some downloading if the
# version is the same.
- if [[ "$TRAVIS_PYTHON_VERSION" == "2.7" ]]; then
wget https://repo.continuum.io/miniconda/Miniconda-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:$PATH"
- hash -r
- conda config --set always_yes yes --set changeps1 no
- conda update -q conda
# Useful for debugging any issues with conda
- conda info -a
- travis_retry conda create -q -n test-environment python=$TRAVIS_PYTHON_VERSION
- source activate test-environment
- travis_retry pip install --only-binary=numpy,scipy,pandas numpy nose scipy matplotlib h5py theano pytest pytest-pep8 pandas
- pip install keras_applications keras_preprocessing
# set library path
- export LD_LIBRARY_PATH=$HOME/miniconda/envs/test-environment/lib/:$LD_LIBRARY_PATH
# install PIL for preprocessing tests (they are integration tests).
- if [[ "$TEST_MODE" == "INTEGRATION_TESTS" ]] || [[ "$TEST_MODE" == "PEP8_DOC" ]]; then
if [[ "$TRAVIS_PYTHON_VERSION" == "2.7" ]]; then
export PIL=Pil;
else
export PIL=Pillow;
fi
fi
# install pydot for visualization tests
- travis_retry conda install mkl mkl-service pydot graphviz $PIL
- pip install -e .[tests]
# install TensorFlow (CPU version).
- pip install tensorflow==1.9
# install cntk
- pip install cntk
# exclude different backends to measure a coverage for the designated backend only
- if [[ "$KERAS_BACKEND" != "tensorflow" ]]; then
echo ' keras/backend/tensorflow_backend.py' >> .coveragerc;
fi
- if [[ "$KERAS_BACKEND" != "theano" ]]; then
echo ' keras/backend/theano_backend.py' >> .coveragerc;
fi
- if [[ "$KERAS_BACKEND" != "cntk" ]]; then
echo ' keras/backend/cntk_backend.py' >> .coveragerc;
fi
# detect whether core files are changed or not
- export CORE_CHANGED=False;
- for entry in `git diff --name-only HEAD~1`; do if [[ "$entry" == "keras/backend/"* ]] || [[ "$entry" == "keras/engine/"* ]] || [[ "$entry" == "keras/layers/"* ]]; then export CORE_CHANGED=True; fi; done
- export APP_CHANGED=False;
- for entry in `git diff --name-only HEAD~1`; do if [[ "$entry" == "keras/applications/"* ]]; then export APP_CHANGED=True; fi; done
#install open mpi
- rm -rf ~/mpi
- mkdir ~/mpi
- pushd ~/mpi
- wget http://cntk.ai/PythonWheel/ForKeras/depends/openmpi_1.10-3.zip
- unzip ./openmpi_1.10-3.zip
- sudo dpkg -i openmpi_1.10-3.deb
- popd
# command to run tests
script:
- export MKL_THREADING_LAYER="GNU"
# run keras backend init to initialize backend config
- python -c "import keras.backend"
# create dataset directory to avoid concurrent directory creation at runtime
- mkdir ~/.keras/datasets
# set up keras backend
- sed -i -e 's/"backend":[[:space:]]*"[^"]*/"backend":\ "'$KERAS_BACKEND'/g' ~/.keras/keras.json;
- echo -e "Running tests with the following config:\n$(cat ~/.keras/keras.json)"
- if [[ "$TEST_MODE" == "INTEGRATION_TESTS" ]]; then
PYTHONPATH=$PWD:$PYTHONPATH py.test tests/integration_tests;
elif [[ "$TEST_MODE" == "PEP8_DOC" ]]; then
PYTHONPATH=$PWD:$PYTHONPATH py.test --pep8 -m pep8 -n0 && py.test tests/test_documentation.py;
else
PYTHONPATH=$PWD:$PYTHONPATH py.test tests/ --ignore=tests/integration_tests --ignore=tests/test_documentation.py --ignore=tests/keras/legacy/layers_test.py --cov-config .coveragerc --cov=keras tests/;
fi