#!/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

set_bazel_outdir

install_ubuntu_16_pip_deps pip3.6

update_bazel_linux

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=10.1
export TF_CUDNN_VERSION=7
export TF_CUDA_COMPUTE_CAPABILITIES=3.5,3.7,5.2,6.0,6.1,7.0
export TF_NEED_TENSORRT=1
export TENSORRT_INSTALL_PATH=/usr/local/tensorrt
export CC_OPT_FLAGS='-mavx'
export PYTHON_BIN_PATH=$(which python3.6)
yes "" | "$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}"

  echo "Uploading package: ${AUDITED_WHL_NAME}"
  twine upload -r pypi-warehouse "${AUDITED_WHL_NAME}" || echo
done
