forked from 626_privacy/tensorflow_privacy
Cleanup and add build, test, and publish scripts for the TFP Python package.
PiperOrigin-RevId: 571419982
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3 changed files with 92 additions and 21 deletions
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# limitations under the License.
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# limitations under the License.
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#
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#
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# Tool to build the TensorFlow Privacy pip package.
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# Tool to build the TensorFlow Privacy pip package.
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#
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# Usage:
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# bazel run //tensorflow_privacy:build_pip_package -- \
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# "/tmp/tensorflow_privacy"
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#
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# Arguments:
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# output_dir: An output directory.
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set -e
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set -e
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die() {
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echo >&2 "$@"
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exit 1
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}
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main() {
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main() {
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local output_dir="$1"
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# Create a working directory.
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local temp_dir="$(mktemp -d)"
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if [[ ! -d "${output_dir}" ]]; then
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trap "rm -rf ${temp_dir}" EXIT
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die "The output directory '${output_dir}' does not exist."
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fi
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# Create a virtual environment
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# Create a virtual environment
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python3 -m venv "venv"
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python3 -m venv "${temp_dir}/venv"
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source "venv/bin/activate"
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source "${temp_dir}/venv/bin/activate"
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python --version
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pip install --upgrade pip
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pip install --upgrade pip
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pip --version
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# Build pip package
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# Build the pip package
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pip install --upgrade setuptools wheel
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pip install --upgrade setuptools wheel
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python "setup.py" sdist bdist_wheel
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python "setup.py" sdist bdist_wheel
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cp "dist/"* "${output_dir}"
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# Cleanup.
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deactivate
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}
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}
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main "$@"
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main "$@"
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41
tools/publish_pip_package.sh
Executable file
41
tools/publish_pip_package.sh
Executable file
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#!/usr/bin/env bash
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# Copyright 2020, The TensorFlow Privacy Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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# Tool to publish the TensorFlow Privacy pip package.
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set -e
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main() {
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# Create a working directory.
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local temp_dir="$(mktemp -d)"
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trap "rm -rf ${temp_dir}" EXIT
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# Create a virtual environment
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python3 -m venv "${temp_dir}/venv"
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source "${temp_dir}/venv/bin/activate"
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python --version
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pip install --upgrade pip
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pip --version
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# Publish the pip package.
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package="$(ls "dist/"*".whl" | head -n1)"
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pip install --upgrade twine
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twine check "${package}"
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twine upload "${package}"
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# Cleanup.
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deactivate
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}
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main "$@"
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41
tools/test_pip_package.sh
Executable file
41
tools/test_pip_package.sh
Executable file
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#!/usr/bin/env bash
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# Copyright 2020, The TensorFlow Privacy Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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# Tool to build the TensorFlow Privacy pip package.
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set -e
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main() {
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# Create a working directory.
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local temp_dir="$(mktemp -d)"
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trap "rm -rf ${temp_dir}" EXIT
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# Create a virtual environment
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python3 -m venv "${temp_dir}/venv"
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source "${temp_dir}/venv/bin/activate"
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python --version
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pip install --upgrade pip
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pip --version
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# Publish the pip package.
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package="$(ls "dist/"*".whl" | head -n1)"
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pip install --upgrade "${package}"
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pip freeze
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python -c "import tensorflow_privacy as tfp; print(tfp.__version__)"
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# Cleanup.
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deactivate
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}
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main "$@"
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