saved_models/tensorboard/.travis.yml

dist: xenial
language: python
python:
  - "3.6"

branches:
  only:
    - master
    - /^\d+\.\d+(\.\d+)?(-\S*)?$/

# Update the `nvm use` stanza below when updating this.
node_js:
  - "11"

env:
  # Keep this Bazel version in sync with the `versions.check` directive
  # near the top of our WORKSPACE file.
  #
  # Grab the BAZEL_SHA256SUM from the Bazel releases page; e.g.:
  # bazel-0.20.0-linux-x86_64.sha256
  global:
    - BAZEL=2.1.0
    - BAZEL_SHA256SUM=e13581d44faad6ac807dd917e682fef20359d26728166ac35dadd8ee653a580d
  matrix:
    - TF_VERSION_ID=tf-nightly
    - TF_VERSION_ID=  # Do not install TensorFlow in this case

cache:
  # Don't cache the Pip directory. We pull in a new `tf-nightly` wheel
  # every day, and Pip caches are never evicted, so this quickly bloats
  # to many gigabytes and adds minutes to the CI time.
  pip: false
  # Cache directories for Bazel. See ci/bazelrc for details.
  directories:
    - $HOME/.cache/tb-bazel-repo
    - $HOME/.cache/tb-bazel-disk

# Each bullet point is displayed in the Travis log as one collapsed line, which
# indicates how long it took. Travis will check the return code at the end. We
# can't use `set -e` in the YAML file since it might impact Travis internals.
# If inline scripts get too long, Travis surprisingly prints them twice.

before_install:
  - elapsed() { TZ=UTC printf "Time %(%T)T %s\n" "$SECONDS" "$1"; }
  - elapsed "before_install"
  - ci/download_bazel.sh "${BAZEL}" "${BAZEL_SHA256SUM}" ~/bazel
  - sudo mv ~/bazel /usr/local/bin/bazel
  - cp ci/bazelrc ~/.bazelrc
  - elapsed "before_install (done)"

install:
  - elapsed "install"
  - "PY3=\"$(python -c 'if __import__(\"sys\").version_info[0] > 2: print(1)')\""
  # Older versions of Pip sometimes resolve specifiers like `tf-nightly`
  # to versions other than the most recent(!).
  - pip install -U pip
  # Uninstall older Travis numpy to avoid upgrade-in-place issues.
  - pip uninstall -y numpy
  - |
    pip install \
      -r tensorboard/pip_package/requirements.txt \
      -r tensorboard/pip_package/requirements_dev.txt \
      ;
  # Keep the node version in sync with node_js key above.
  - nvm use v11
  - |
    # Install TensorFlow if requested
    if [ -n "${TF_VERSION_ID}" ]; then
      pip install -I "${TF_VERSION_ID}"
    fi
  # Workaround for https://github.com/travis-ci/travis-ci/issues/7940
  - sudo rm -f /etc/boto.cfg
  - pip freeze  # print installed distributions, for debugging purposes
  - elapsed "install (done)"

before_script:
  # Note: Lint checks happen on GitHub Actions; see .github/workflows/ci.yml.
  - elapsed "before_script"
  - |
    # Specify subset of tests to run depending on TF installation config.
    # We condition the value of --test_tag_filters so that we can run the
    # bazel test command unconditionally which produces nicer log output.
    if [ -z "${TF_VERSION_ID}" ]; then
      test_tag_filters=support_notf
    else
      test_tag_filters=
    fi
  - elapsed "before_script (done)"

# Commands in this section should only fail if it's our fault. Travis will
# categorize them as 'failed', rather than 'error' for other sections.
script:
  - elapsed "script"
  # Note: bazel test implies fetch+build, but this gives us timing.
  - elapsed && bazel fetch //tensorboard/...
  - elapsed && bazel build //tensorboard/...
  - elapsed && bazel test //tensorboard/... --test_tag_filters="${test_tag_filters}"
  - elapsed && bazel run //tensorboard/pip_package:test_pip_package -- --tf-version "${TF_VERSION_ID}"
  # Run manual S3 test
  - elapsed && bazel test //tensorboard/compat/tensorflow_stub:gfile_s3_test
  - elapsed && bazel test //tensorboard/summary/writer:event_file_writer_s3_test
  - elapsed "script (done)"

after_script:
  # Bazel launches daemons unless --batch is used.
  - elapsed "after_script"
  - bazel shutdown

notifications:
  email: false