Add Ubuntu 16 gpu py38 nightly and release builds.

PiperOrigin-RevId: 296532794
Change-Id: I466c2c579a73390e8de1f69fadf7d3442d169e55
This commit is contained in:
Amit Patankar 2020-02-21 16:15:30 -08:00 committed by TensorFlower Gardener
parent f175cee3b6
commit 4e3e368ae6
4 changed files with 208 additions and 0 deletions

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@ -334,6 +334,9 @@ tensorflow/tools/ci_build/release/ubuntu_16/gpu_py37_full/nonpip.sh
tensorflow/tools/ci_build/release/ubuntu_16/gpu_py37_full/nonpip_v1.sh
tensorflow/tools/ci_build/release/ubuntu_16/gpu_py37_full/pip.sh
tensorflow/tools/ci_build/release/ubuntu_16/gpu_py37_full/pip_v1.sh
tensorflow/tools/ci_build/release/ubuntu_16/gpu_py38_full/nightly_release.sh
tensorflow/tools/ci_build/release/ubuntu_16/gpu_py38_full/nonpip.sh
tensorflow/tools/ci_build/release/ubuntu_16/gpu_py38_full/pip.sh
tensorflow/tools/ci_build/release/ubuntu_16/sanity/build.sh
tensorflow/tools/ci_build/release/ubuntu_16/tpu_py37_full/nonpip.sh
tensorflow/tools/ci_build/release/windows/cpu_libtensorflow/nightly.bat

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@ -0,0 +1,78 @@
#!/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 pip3.8
pip3.7 install --upgrade auditwheel --user
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
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=$(which python3.8)
yes "" | "$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}" || echo
else
echo "Basic PIP test FAILED, will not upload ${AUDITED_WHL_NAME} package"
return 1
fi
done

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@ -0,0 +1,58 @@
#!/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 pip3.8
# Update bazel
update_bazel_linux
# 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_NEED_TENSORRT=1
export TENSORRT_INSTALL_PATH=/usr/local/tensorrt
export CC_OPT_FLAGS='-mavx'
export PYTHON_BIN_PATH=$(which python3.8)
export TF2_BEHAVIOR=1
export PROJECT_NAME="tensorflow_gpu"
export LD_LIBRARY_PATH="/usr/local/cuda:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:$TENSORRT_INSTALL_PATH/lib"
export TF_CUDA_COMPUTE_CAPABILITIES=3.5,3.7,5.2,6.0,6.1,7.0
yes "" | "$PYTHON_BIN_PATH" configure.py
# Get the default test targets for bazel.
source tensorflow/tools/ci_build/build_scripts/PRESUBMIT_BUILD_TARGETS.sh
tag_filters="gpu,requires-gpu,-no_gpu,-no_oss,-oss_serial,-no_oss_py38"
bazel test --config=cuda --config=opt \
--crosstool_top=//third_party/toolchains/preconfig/ubuntu16.04/gcc7_manylinux2010-nvcc-cuda10.1:toolchain \
--linkopt=-lrt \
--action_env=TF2_BEHAVIOR="${TF2_BEHAVIOR}" \
--test_lang_filters=py \
--build_tag_filters=${tag_filters} \
--test_tag_filters=${tag_filters} \
--test_timeout="300,450,1200,3600" --local_test_jobs=4 \
--test_output=errors --verbose_failures=true --keep_going \
--run_under=//tensorflow/tools/ci_build/gpu_build:parallel_gpu_execute \
-- ${DEFAULT_BAZEL_TARGETS} -//tensorflow/lite/...

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@ -0,0 +1,69 @@
#!/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 pip3.8
# Update bazel
update_bazel_linux
# Export required variables for running pip.sh
export OS_TYPE="UBUNTU"
export CONTAINER_TYPE="GPU"
export TF_PYTHON_VERSION='python3.8'
# 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_NEED_TENSORRT=1
export TENSORRT_INSTALL_PATH=/usr/local/tensorrt
export CC_OPT_FLAGS='-mavx'
export PYTHON_BIN_PATH=$(which ${TF_PYTHON_VERSION})
export PROJECT_NAME="tensorflow_gpu"
export LD_LIBRARY_PATH="/usr/local/cuda:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:$TENSORRT_INSTALL_PATH/lib"
export TF_CUDA_COMPUTE_CAPABILITIES=3.5,3.7,5.2,6.0,6.1,7.0
yes "" | "$PYTHON_BIN_PATH" configure.py
# Get the default test targets for bazel.
source tensorflow/tools/ci_build/build_scripts/PRESUBMIT_BUILD_TARGETS.sh
# Export optional variables for running pip.sh
export TF_TEST_FILTER_TAGS='gpu,requires-gpu,-no_gpu,-no_oss,-oss_serial,-no_oss_py38'
export TF_BUILD_FLAGS="--config=opt --config=v2 --config=cuda --distinct_host_configuration=false \
--action_env=TF_CUDA_VERSION --action_env=TF_CUDNN_VERSION --crosstool_top=//third_party/toolchains/preconfig/ubuntu16.04/gcc7_manylinux2010-nvcc-cuda10.1:toolchain "
export TF_TEST_FLAGS="--test_tag_filters=${TF_TEST_FILTER_TAGS} --build_tag_filters=${TF_TEST_FILTER_TAGS} \
--distinct_host_configuration=false \
--action_env=TF_CUDA_VERSION --action_env=TF_CUDNN_VERSION --test_env=TF2_BEHAVIOR=1 \
--config=cuda --test_output=errors --local_test_jobs=4 --test_lang_filters=py \
--verbose_failures=true --keep_going --define=no_tensorflow_py_deps=true \
--run_under=//tensorflow/tools/ci_build/gpu_build:parallel_gpu_execute "
export TF_TEST_TARGETS="${DEFAULT_BAZEL_TARGETS} -//tensorflow/lite/... "
export TF_PIP_TESTS="test_pip_virtualenv_non_clean test_pip_virtualenv_clean"
export IS_NIGHTLY=0 # Not nightly
export TF_PROJECT_NAME=${PROJECT_NAME}
export TF_PIP_TEST_ROOT="pip_test"
# To build both tensorflow and tensorflow-gpu pip packages
export TF_BUILD_BOTH_GPU_PACKAGES=1
./tensorflow/tools/ci_build/builds/pip_new.sh