.travis.yml

# After changing this file, check it on:
#   http://lint.travis-ci.org/

os:         linux
dist:       xenial
sudo:       false
language:   python

python:
    - 3.5
    - 3.6

matrix:
    include:
        - name: "Python 3.6.7 on Bionic/amd64"
          os: linux
          arch: amd64
          dist: bionic
          python: 3.6.7
        - name: "Python 3.6.8 on OSX"
          os: osx
          osx_image: xcode9.2
          language: generic
          python:   3.6
          env:      WANTED_PYTHON_VERSION=3.6

addons:
    apt:
        packages:
            - python-pip
        sources:
            - ubuntu-toolchain-r-test

before_install:
    - |
        if [ $TRAVIS_OS_NAME == "osx" ]; then

            export SUDOH="sudo"

            if [ "$WANTED_PYTHON_VERSION" == "2.7" ]; then
                brew update                                                     # this swaps python versions and makes 3 the default one
                brew reinstall python\@2 || brew link --overwrite python\@2     # install and link python2 and pip2 to /usr/local/bin
                export PATH=/usr/local/opt/python\@2/bin:$PATH
                export PYTHON_EXE=python
            elif [ "$WANTED_PYTHON_VERSION" == "3.6" ]; then
                curl https://www.python.org/ftp/python/3.6.8/python-3.6.8-macosx10.9.pkg -s -o /tmp/python.pkg
                ${SUDOH} installer -pkg /tmp/python.pkg -target /
                ls -l /Library/Frameworks/Python.framework/Versions/3.6/bin
                export PATH=/Library/Frameworks/Python.framework/Versions/3.6/bin:$PATH
                export PYTHON_EXE=python3
            else
                echo "Other MacOS Pythons are not supported at the moment"
            fi

            export CK_PLATFORM_NAME="generic-macos "                            # used later by CK
        else
            export WANTED_PYTHON_VERSION=$TRAVIS_PYTHON_VERSION                 # since Python is supported in Linux, get it from Travis
            export PYTHON_EXE=python
            export CK_PLATFORM_NAME="generic-linux "                            # used later by CK (note the trailing space to make the choice unique)
        fi

install:
    - CWD=`pwd`
    - THIS_REPO_NAME=`basename $CWD`
    - echo "TRAVIS_OS_NAME=${TRAVIS_OS_NAME}, WANTED_PYTHON_VERSION=${WANTED_PYTHON_VERSION}"
    - echo "CWD=${CWD}, THIS_REPO_NAME=${THIS_REPO_NAME}, PATH=${PATH}"
    - which "${PYTHON_EXE}"
    - ${PYTHON_EXE} --version
    - rm -f `which pip`                                                             # the file is removable, but not writeable
    - ${SUDOH} ${PYTHON_EXE} -m pip install --ignore-installed --verbose pip setuptools # make sure pip is also up to date no matter what
    - ${PYTHON_EXE} -m pip install -r requirements.txt                              # ck kernel itself and some essential components
    - ck pull repo:${THIS_REPO_NAME}                                                # ...also trigger pulling dependent repositories
    - echo "$CK_PLATFORM_NAME" | ck detect platform.os --update_platform_init       # set the platform to generic-linux (1) or generic-macos (2)
    - ck detect soft:compiler.python --full_path=`which ${PYTHON_EXE}`              # pick the one Travis has set for us in the PATH
    - ck install package --tags=lib,python-package,numpy                            # avoid detection by force-installing the package
    - ck install package --tags=lib,python-package,scipy                            # avoid detection by force-installing the package
    - ck install package --tags=lib,python-package,pillow                           # avoid detection by force-installing the package
    - ck install package:lib-tensorflow-1.13.1-cpu                                  # avoid manual selection
    - ck install package:imagenet-2012-val-min                                      # avoid manual selection
    - ck install package --tags=dataset,imagenet,preprocessed,using-pillow,first.20 # we only need a short preprocessed subset
    - ck install package --tags=model,image-classification,onnx,mobilenet,non-quantized,nchw,downloaded   # MobileNet ONNX model, downloaded
    - ck install package --tags=model,onnx,mobilenet,nhwc,converted                 # MobileNet ONNX model, converted from TF, in NHWC
    - ck install package --tags=model,onnx,resnet,nchw,converted                    # ResNet50 ONNX model, converted from TF, in NCHW
    - ck install package --tags=model,onnx,resnet,nhwc,converted                    # ResNet50 ONNX model, converted from TF, in NHWC

script:
    - ck show env                                                                   # show everything that has been detected or installed
    - ck run program:image-classification-onnx-py --dep_add_tags.weights=mobilenet,converted --cmd_key=barebones --env.CK_BATCH_SIZE=3      # internal preprocessing
    - ck run program:image-classification-onnx-py --dep_add_tags.weights=mobilenet,downloaded --cmd_key=preprocessed --env.CK_BATCH_COUNT=2 # external preprocessing
    - ck run program:image-classification-onnx-py --dep_add_tags.weights=resnet,nchw,converted --cmd_key=preprocessed                       # channels-first layout
    - ck run program:image-classification-onnx-py --dep_add_tags.weights=resnet,nhwc,converted --cmd_key=preprocessed                       # channels-last layout
    - ck run program:image-classification-onnx-py --cmd_key=preprocessed --dep_add_tags.weights=resnet,nchw,converted --env.CK_IMAGE_FILE=ILSVRC2012_val_00000003.JPEG  # classify specific file