forked from qubvel/segmentation_models
-
Notifications
You must be signed in to change notification settings - Fork 1
/
.travis.yml
89 lines (75 loc) · 2.79 KB
/
.travis.yml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
sudo: required
dist: trusty
language: python
matrix:
include:
# different pythons
- python: 3.5
# different keras versions
- python: 3.6
env: KERAS_VERSION=head
- python: 3.6
env: KERAS_VERSION=2.2.0
- python: 3.6
env: KERAS_VERSION=2.2.4
git:
submodules: true
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:$PATH"
- hash -r
- conda config --set always_yes yes --set changeps1 no
- conda update -q conda
# Useful for debugging any issues with conda
- conda info -a
- conda create -q -n test-environment python=$TRAVIS_PYTHON_VERSION pytest pandas
- source activate test-environment
- pip install --only-binary=numpy,scipy numpy nose scipy matplotlib h5py theano scikit-image
# install keras
- if [[ $KERAS_VERSION == "head" ]]; then
pip install --no-deps git+https://github.com/keras-team/keras.git;
elif [ -z $KERAS_VERSION ]; then
pip install keras;
else
pip install keras==$KERAS_VERSION;
fi
- conda install mkl mkl-service
# set library path
- export LD_LIBRARY_PATH=$HOME/miniconda/envs/test-environment/lib/:$LD_LIBRARY_PATH
# install lib in develop mode
- pip install -e .[tests]
# install TensorFlow (CPU version).
- pip install tensorflow==1.9
# install pydot for visualization tests
- conda install pydot graphviz
# detect one of markdown files is changed or not
- export DOC_ONLY_CHANGED=False;
- if [ $(git diff --name-only HEAD~1 | wc -l) == "1" ] && [[ "$(git diff --name-only HEAD~1)" == *"md" ]]; then
export DOC_ONLY_CHANGED=True;
fi
# command to run tests
script:
- export MKL_THREADING_LAYER="GNU"
- export KERAS_BACKEND="tensorflow"
# run keras backend init to initialize backend config
- python -c "import keras.backend"
# create models directory to avoid concurrent directory creation at runtime
- mkdir ~/.keras/models
# 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 [[ "$DOC_ONLY_CHANGED" == "False" ]]; then
if [[ "$TEST_MODE" == "PEP8" ]]; then
PYTHONPATH=$PWD:$PYTHONPATH py.test --pep8 -m pep8 -n0;
else
PYTHONPATH=$PWD:$PYTHONPATH py.test tests/;
fi;
fi