319 lines
10 KiB
Bash
319 lines
10 KiB
Bash
#!/usr/bin/env bash
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# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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# External `common.sh`
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# Keep in sync with tensorflow_estimator and configure.py.
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# LINT.IfChange
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LATEST_BAZEL_VERSION=3.1.0
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# LINT.ThenChange(
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# //tensorflow/opensource_only/configure.py,
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# //tensorflow_estimator/google/kokoro/common.sh,
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# //tensorflow/tools/ci_build/install/install_bazel.sh,
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# //tensorflow/tools/ci_build/install/install_bazel_from_source.sh)
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# Run flaky functions with retries.
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# run_with_retry cmd
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function run_with_retry {
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eval "$1"
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# If the command fails retry again in 60 seconds.
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if [[ $? -ne 0 ]]; then
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sleep 60
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eval "$1"
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fi
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}
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function die() {
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echo "$@" 1>&2 ; exit 1;
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}
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# A small utility to run the command and only print logs if the command fails.
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# On success, all logs are hidden.
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function readable_run {
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# Disable debug mode to avoid printing of variables here.
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set +x
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result=$("$@" 2>&1) || die "$result"
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echo "$@"
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echo "Command completed successfully at $(date)"
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set -x
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}
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# LINT.IfChange
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# Redirect bazel output dir b/73748835
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function set_bazel_outdir {
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mkdir -p /tmpfs/bazel_output
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export TEST_TMPDIR=/tmpfs/bazel_output
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}
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# Downloads bazelisk to ~/bin as `bazel`.
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function install_bazelisk {
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date
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case "$(uname -s)" in
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Darwin) local name=bazelisk-darwin-amd64 ;;
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Linux) local name=bazelisk-linux-amd64 ;;
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*) die "Unknown OS: $(uname -s)" ;;
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esac
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mkdir -p "$HOME/bin"
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wget --no-verbose -O "$HOME/bin/bazel" \
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"https://github.com/bazelbuild/bazelisk/releases/download/v1.3.0/$name"
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chmod u+x "$HOME/bin/bazel"
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if [[ ! ":$PATH:" =~ :"$HOME"/bin/?: ]]; then
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PATH="$HOME/bin:$PATH"
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fi
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set_bazel_outdir
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which bazel
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bazel version
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date
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}
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# Install the given bazel version on linux
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function update_bazel_linux {
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if [[ -z "$1" ]]; then
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BAZEL_VERSION=${LATEST_BAZEL_VERSION}
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else
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BAZEL_VERSION=$1
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fi
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rm -rf ~/bazel
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mkdir ~/bazel
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pushd ~/bazel
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readable_run wget https://github.com/bazelbuild/bazel/releases/download/"${BAZEL_VERSION}"/bazel-"${BAZEL_VERSION}"-installer-linux-x86_64.sh
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chmod +x bazel-*.sh
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./bazel-"${BAZEL_VERSION}"-installer-linux-x86_64.sh --user
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rm bazel-"${BAZEL_VERSION}"-installer-linux-x86_64.sh
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popd
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PATH="/home/kbuilder/bin:$PATH"
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set_bazel_outdir
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which bazel
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bazel version
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}
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# LINT.ThenChange(
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# //tensorflow_estimator/google/kokoro/common.sh)
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function install_pip2 {
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curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
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sudo python2 get-pip.py
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}
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function install_pip3.5 {
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curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
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sudo python3.5 get-pip.py
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}
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function install_pip_deps {
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SUDO_CMD=""
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PIP_CMD="pip"
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while true; do
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if [[ -z "${1}" ]]; then
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break
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fi
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if [[ "$1" == "sudo" ]]; then
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SUDO_CMD="sudo "
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elif [[ "$1" == "pip"* ]]; then
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PIP_CMD="$1"
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fi
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shift
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done
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# LINT.IfChange(ubuntu_pip_installations)
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# TODO(aselle): Change all these to be --user instead of sudo.
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${SUDO_CMD} ${PIP_CMD} install astunparse==1.6.3
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${SUDO_CMD} ${PIP_CMD} install keras_preprocessing==1.1.0 --no-deps
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"${PIP_CMD}" install numpy==1.16.0 --user
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"${PIP_CMD}" install PyYAML==3.13 --user
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${SUDO_CMD} ${PIP_CMD} install gast==0.3.3
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${SUDO_CMD} ${PIP_CMD} install h5py==2.10.0
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${SUDO_CMD} ${PIP_CMD} install six==1.12.0
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${SUDO_CMD} ${PIP_CMD} install grpcio
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${SUDO_CMD} ${PIP_CMD} install portpicker
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${SUDO_CMD} ${PIP_CMD} install scipy
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${SUDO_CMD} ${PIP_CMD} install scikit-learn
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${SUDO_CMD} ${PIP_CMD} install --upgrade tb-nightly
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${PIP_CMD} install --user --upgrade attrs
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${PIP_CMD} install --user --upgrade tf-estimator-nightly
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${PIP_CMD} install --user --upgrade "future>=0.17.1"
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${PIP_CMD} install --user --upgrade wrapt
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# LINT.ThenChange(:ubuntu_16_pip_installations)
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}
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function install_ubuntu_16_pip_deps {
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PIP_CMD="pip"
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while true; do
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if [[ -z "${1}" ]]; then
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break
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fi
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if [[ "$1" == "pip"* ]]; then
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PIP_CMD="$1"
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fi
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shift
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done
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# LINT.IfChange(ubuntu_16_pip_installations)
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"${PIP_CMD}" install astunparse==1.6.3 --user
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"${PIP_CMD}" install --user --upgrade attrs
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"${PIP_CMD}" install keras_preprocessing==1.1.0 --no-deps --user
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"${PIP_CMD}" install numpy==1.16.0 --user
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"${PIP_CMD}" install --user --upgrade "future>=0.17.1"
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"${PIP_CMD}" install gast==0.3.3 --user
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"${PIP_CMD}" install h5py==2.10.0 --user
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"${PIP_CMD}" install six==1.12.0 --user
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"${PIP_CMD}" install grpcio --user
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"${PIP_CMD}" install portpicker --user
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"${PIP_CMD}" install scipy --user
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"${PIP_CMD}" install scikit-learn --user
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"${PIP_CMD}" install PyYAML==3.13 --user
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# b/156523241
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"${PIP_CMD}" install --force-reinstall --user --upgrade tf-estimator-nightly
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"${PIP_CMD}" install --user --upgrade tb-nightly
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"${PIP_CMD}" install --user --upgrade wrapt
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# LINT.ThenChange(:ubuntu_pip_installations)
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}
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function install_macos_pip_deps {
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SUDO_CMD=""
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PIP_CMD="pip"
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while true; do
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if [[ -z "${1}" ]]; then
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break
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fi
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if [[ "$1" == "sudo" ]]; then
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SUDO_CMD="sudo "
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elif [[ "$1" == "pip3.7" ]]; then
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PIP_CMD="python3.7 -m pip"
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SUDO_CMD="sudo -H "
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elif [[ "$1" == "pip"* ]]; then
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PIP_CMD="$1"
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fi
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shift
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done
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# High Sierra pip for Python2.7 installs don't work as expected.
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if [[ "${PIP_CMD}" == "pip" ]]; then
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PIP_CMD="python -m pip"
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SUDO_CMD="sudo -H "
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fi
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# TODO(aselle): Change all these to be --user instead of sudo.
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${SUDO_CMD} ${PIP_CMD} install --upgrade setuptools==39.1.0
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${SUDO_CMD} ${PIP_CMD} install keras_preprocessing==1.1.0 --no-deps
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${SUDO_CMD} ${PIP_CMD} install --upgrade mock portpicker scipy grpcio
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${SUDO_CMD} ${PIP_CMD} install six==1.12.0
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${SUDO_CMD} ${PIP_CMD} install scikit-learn
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${SUDO_CMD} ${PIP_CMD} install numpy==1.16.0
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${SUDO_CMD} ${PIP_CMD} install gast==0.3.3
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${SUDO_CMD} ${PIP_CMD} install h5py==2.10.0
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${SUDO_CMD} ${PIP_CMD} install --upgrade grpcio
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${SUDO_CMD} ${PIP_CMD} install --upgrade tb-nightly
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${PIP_CMD} install --user --upgrade attrs
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# b/156523241
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${PIP_CMD} install --force-reinstall --user --upgrade tf-estimator-nightly
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${PIP_CMD} install --user --upgrade wrapt
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${PIP_CMD} install --user --upgrade "future>=0.17.1"
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}
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function maybe_skip_v1 {
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# If we are building with v2 by default, skip tests with v1only tag.
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if grep -q "build --config=v2" ".bazelrc"; then
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echo ",-v1only"
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else
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echo ""
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fi
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}
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# Copy and rename a wheel to a new project name.
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# Usage: copy_to_new_project_name <whl_path> <new_project_name>, for example
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# copy_to_new_project_name test_dir/tf_nightly-1.15.0.dev20190813-cp35-cp35m-manylinux2010_x86_64.whl tf_nightly_cpu
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# will create a wheel with the same tags, but new project name under the same
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# directory at
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# test_dir/tf_nightly_cpu-1.15.0.dev20190813-cp35-cp35m-manylinux2010_x86_64.whl
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function copy_to_new_project_name {
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WHL_PATH="$1"
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NEW_PROJECT_NAME="$2"
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ORIGINAL_WHL_NAME=$(basename "${WHL_PATH}")
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ORIGINAL_WHL_DIR=$(realpath "$(dirname "${WHL_PATH}")")
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ORIGINAL_PROJECT_NAME="$(echo "${ORIGINAL_WHL_NAME}" | cut -d '-' -f 1)"
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FULL_TAG="$(echo "${ORIGINAL_WHL_NAME}" | cut -d '-' -f 2-)"
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NEW_WHL_NAME="${NEW_PROJECT_NAME}-${FULL_TAG}"
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VERSION="$(echo "${FULL_TAG}" | cut -d '-' -f 1)"
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TMP_DIR="$(mktemp -d)"
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cp "${WHL_PATH}" "${TMP_DIR}"
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pushd "${TMP_DIR}"
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unzip -q "${ORIGINAL_WHL_NAME}"
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ORIGINAL_WHL_DIR_PREFIX="${ORIGINAL_PROJECT_NAME}-${VERSION}"
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NEW_WHL_DIR_PREFIX="${NEW_PROJECT_NAME}-${VERSION}"
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mv "${ORIGINAL_WHL_DIR_PREFIX}.dist-info" "${NEW_WHL_DIR_PREFIX}.dist-info"
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mv "${ORIGINAL_WHL_DIR_PREFIX}.data" "${NEW_WHL_DIR_PREFIX}.data" || echo
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sed -i.bak "s/${ORIGINAL_PROJECT_NAME}/${NEW_PROJECT_NAME}/g" "${NEW_WHL_DIR_PREFIX}.dist-info/RECORD"
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ORIGINAL_PROJECT_NAME_DASH="${ORIGINAL_PROJECT_NAME//_/-}"
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NEW_PROJECT_NAME_DASH="${NEW_PROJECT_NAME//_/-}"
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sed -i.bak "s/${ORIGINAL_PROJECT_NAME_DASH}/${NEW_PROJECT_NAME_DASH}/g" "${NEW_WHL_DIR_PREFIX}.dist-info/METADATA"
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zip -rq "${NEW_WHL_NAME}" "${NEW_WHL_DIR_PREFIX}.dist-info" "${NEW_WHL_DIR_PREFIX}.data" "tensorflow" "tensorflow_core"
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mv "${NEW_WHL_NAME}" "${ORIGINAL_WHL_DIR}"
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popd
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rm -rf "${TMP_DIR}"
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}
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# Create minimalist test XML for web view. It includes the pass/fail status
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# of each target, without including errors or stacktraces.
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# Remember to "set +e" before calling bazel or we'll only generate the XML for
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# passing runs.
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function test_xml_summary {
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set +x
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set +e
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mkdir -p "${KOKORO_ARTIFACTS_DIR}/${KOKORO_JOB_NAME}/summary"
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# First build the repeated inner XML blocks, since the header block needs to
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# report the number of test cases / failures / errors.
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# TODO(rsopher): handle build breakages
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# TODO(rsopher): extract per-test times as well
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TESTCASE_XML="$(sed -n '/INFO:\ Build\ completed/,/INFO:\ Build\ completed/p' \
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/tmpfs/kokoro_build.log \
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| grep -E '(PASSED|FAILED|TIMEOUT)\ in' \
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| while read -r line; \
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do echo '<testcase name="'"$(echo "${line}" | tr -s ' ' | cut -d ' ' -f 1)"\
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'" status="run" classname="" time="0">'"$( \
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case "$(echo "${line}" | tr -s ' ' | cut -d ' ' -f 2)" in \
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FAILED) echo '<failure message="" type=""/>' ;; \
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TIMEOUT) echo '<failure message="timeout" type=""/>' ;; \
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esac; \
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)"'</testcase>'; done; \
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)"
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NUMBER_OF_TESTS="$(echo "${TESTCASE_XML}" | wc -l)"
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NUMBER_OF_FAILURES="$(echo "${TESTCASE_XML}" | grep -c '<failure')"
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echo '<?xml version="1.0" encoding="UTF-8"?>'\
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'<testsuites name="1" tests="1" failures="0" errors="0" time="0">'\
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'<testsuite name="Kokoro Summary" tests="'"${NUMBER_OF_TESTS}"\
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'" failures="'"${NUMBER_OF_FAILURES}"'" errors="0" time="0">'\
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"${TESTCASE_XML}"'</testsuite></testsuites>'\
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> "${KOKORO_ARTIFACTS_DIR}/${KOKORO_JOB_NAME}/summary/sponge_log.xml"
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}
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# Create minimalist test XML for web view, then exit.
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# Ends script with value of previous command, meant to be called immediately
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# after bazel as the last call in the build script.
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function test_xml_summary_exit {
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RETVAL=$?
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test_xml_summary
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exit "${RETVAL}"
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}
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