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nightly_release.sh
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nightly_release.sh
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#!/bin/bash
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
set -e
set -x
source tensorflow/tools/ci_build/release/common.sh
install_ubuntu_16_pip_deps pip3.7
install_bazelisk
python2.7 tensorflow/tools/ci_build/update_version.py --nightly
# Run configure.
export TF_NEED_GCP=1
export TF_NEED_HDFS=1
export TF_NEED_S3=1
export TF_NEED_CUDA=1
export TF_CUDA_VERSION=10
export TF_CUDNN_VERSION=7
export TF_CUDA_COMPUTE_CAPABILITIES=sm_35,sm_37,sm_52,sm_60,sm_61,compute_70
export TF_NEED_TENSORRT=1
export TENSORRT_INSTALL_PATH=/usr/local/tensorrt
export CC_OPT_FLAGS='-mavx'
export PYTHON_BIN_PATH=$(which python3.7)
yes "" | "$PYTHON_BIN_PATH" configure.py
# Build the pip package
bazel build --config=opt --config=v2 \
--crosstool_top=//third_party/toolchains/preconfig/ubuntu16.04/gcc7_manylinux2010-nvcc-cuda10.1:toolchain \
tensorflow/tools/pip_package:build_pip_package
./bazel-bin/tensorflow/tools/pip_package/build_pip_package pip_pkg --nightly_flag
./bazel-bin/tensorflow/tools/pip_package/build_pip_package pip_pkg --gpu --nightly_flag
# Upload the built packages to pypi.
for WHL_PATH in $(ls pip_pkg/tf_nightly*dev*.whl); do
WHL_DIR=$(dirname "${WHL_PATH}")
WHL_BASE_NAME=$(basename "${WHL_PATH}")
AUDITED_WHL_NAME="${WHL_DIR}"/$(echo "${WHL_BASE_NAME//linux/manylinux2010}")
# Copy and rename for gpu manylinux as we do not want auditwheel to package in libcudart.so
WHL_PATH=${AUDITED_WHL_NAME}
cp "${WHL_DIR}"/"${WHL_BASE_NAME}" "${WHL_PATH}"
echo "Copied manylinux2010 wheel file at: ${WHL_PATH}"
# test the whl pip package
chmod +x tensorflow/tools/ci_build/builds/nightly_release_smoke_test.sh
./tensorflow/tools/ci_build/builds/nightly_release_smoke_test.sh ${AUDITED_WHL_NAME}
RETVAL=$?
# Upload the PIP package if whl test passes.
if [ ${RETVAL} -eq 0 ]; then
echo "Basic PIP test PASSED, Uploading package: ${AUDITED_WHL_NAME}"
twine upload -r pypi-warehouse "${AUDITED_WHL_NAME}"
else
echo "Basic PIP test FAILED, will not upload ${AUDITED_WHL_NAME} package"
return 1
fi
done