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configure
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configure
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#!/usr/bin/env bash
set -e
set -o pipefail
# Find out the absolute path to where ./configure resides
pushd `dirname $0` > /dev/null
SOURCE_BASE_DIR=`pwd -P`
popd > /dev/null
PLATFORM="$(uname -s | tr 'A-Z' 'a-z')"
function is_linux() {
if [[ "${PLATFORM}" == "linux" ]]; then
true
else
false
fi
}
function is_macos() {
if [[ "${PLATFORM}" == "darwin" ]]; then
true
else
false
fi
}
function is_windows() {
# On windows, the shell script is actually running in msys
if [[ "${PLATFORM}" =~ msys_nt*|mingw*|cygwin*|uwin* ]]; then
true
else
false
fi
}
function bazel_clean_and_fetch() {
# bazel clean --expunge currently doesn't work on Windows
# TODO(pcloudy): Re-enable it after bazel clean --expunge is fixed.
if ! is_windows; then
bazel clean --expunge
fi
bazel fetch "//tensorflow/... -//tensorflow/contrib/nccl/... \
-//tensorflow/examples/android/..."
}
function sed_hyphen_i() {
if is_macos; then
sed -i '' "$@"
else
sed -i "$@"
fi
}
# Delete any leftover BUILD files from the Makefile build, which would interfere
# with Bazel parsing.
MAKEFILE_DOWNLOAD_DIR=tensorflow/contrib/makefile/downloads
if [ -d "${MAKEFILE_DOWNLOAD_DIR}" ]; then
find ${MAKEFILE_DOWNLOAD_DIR} -type f -name '*BUILD' -delete
fi
## Set up python-related environment settings
while true; do
fromuser=""
if [ -z "$PYTHON_BIN_PATH" ]; then
default_python_bin_path=$(which python || which python3 || true)
read -p "Please specify the location of python. [Default is $default_python_bin_path]: " PYTHON_BIN_PATH
fromuser="1"
if [ -z "$PYTHON_BIN_PATH" ]; then
PYTHON_BIN_PATH=$default_python_bin_path
fi
fi
if [ -e "$PYTHON_BIN_PATH" ]; then
break
fi
echo "Invalid python path. ${PYTHON_BIN_PATH} cannot be found" 1>&2
if [ -z "$fromuser" ]; then
exit 1
fi
PYTHON_BIN_PATH=""
# Retry
done
## Set up MKL related environment settings
if false; then # Disable building with MKL for now
while [ "$TF_NEED_MKL" == "" ]; do
fromuser=""
read -p "Do you wish to build TensorFlow with MKL support? [y/N] " INPUT
fromuser="1"
case $INPUT in
[Yy]* ) echo "MKL support will be enabled for TensorFlow"; TF_NEED_MKL=1;;
[Nn]* ) echo "No MKL support will be enabled for TensorFlow"; TF_NEED_MKL=0;;
"" ) echo "No MKL support will be enabled for TensorFlow"; TF_NEED_MKL=0;;
* ) echo "Invalid selection: " $INPUT;;
esac
done
OSNAME=`uname -s`
if [ "$TF_NEED_MKL" == "1" ]; then # TF_NEED_MKL
DST=`dirname $0`
ARCHIVE_BASENAME=mklml_lnx_2017.0.2.20170110.tgz
GITHUB_RELEASE_TAG=v0.3
MKLURL="https://github.com/01org/mkl-dnn/releases/download/$GITHUB_RELEASE_TAG/$ARCHIVE_BASENAME"
if ! [ -e "$DST/third_party/mkl/$ARCHIVE_BASENAME" ]; then
wget --no-check-certificate -P $DST/third_party/mkl/ $MKLURL
fi
tar -xzf $DST/third_party/mkl/$ARCHIVE_BASENAME -C $DST/third_party/mkl/
extracted_dir_name="${ARCHIVE_BASENAME%.*}"
MKL_INSTALL_PATH=$DST/third_party/mkl/$extracted_dir_name
MKL_INSTALL_PATH=`${PYTHON_BIN_PATH} -c "import os; print(os.path.realpath(os.path.expanduser('${MKL_INSTALL_PATH}')))"`
if [ "$OSNAME" == "Linux" ]; then
# Full MKL configuration
MKL_RT_LIB_PATH="lib/intel64/libmkl_rt.so" #${TF_MKL_EXT}#TODO version?
MKL_RT_OMP_LIB_PATH="../compiler/lib/intel64/libiomp5.so" #TODO VERSION?
# MKL-ML configuration
MKL_ML_LIB_PATH="lib/libmklml_intel.so" #${TF_MKL_EXT}#TODO version?
MKL_ML_OMP_LIB_PATH="lib/libiomp5.so" #TODO VERSION?
elif [ "$OSNAME" == "Darwin" ]; then
echo "Darwin is unsupported yet";
exit 1
fi
if [ -e "$MKL_INSTALL_PATH/${MKL_ML_LIB_PATH}" ]; then
ln -sf $MKL_INSTALL_PATH/${MKL_ML_LIB_PATH} third_party/mkl/
ln -sf $MKL_INSTALL_PATH/${MKL_ML_OMP_LIB_PATH} third_party/mkl/
ln -sf $MKL_INSTALL_PATH/include third_party/mkl/
ln -sf $MKL_INSTALL_PATH/include third_party/eigen3/mkl_include
else
echo "ERROR: $MKL_INSTALL_PATH/${MKL_ML_LIB_PATH} does not exist";
exit 1
fi
if [ -z "$fromuser" ]; then
exit 1
fi
cat > third_party/mkl/mkl.config <<EOF
# MKL_INSTALL_PATH refers to the location of MKL root folder. The MKL header and library
# files can be either in this directory, or under include/ and lib64/
MKL_INSTALL_PATH=$MKL_INSTALL_PATH
EOF
fi # TF_NEED_MKL
################## MKL
fi # Disable building with MKL for now
## Set up architecture-dependent optimization flags.
if [ -z "$CC_OPT_FLAGS" ]; then
default_cc_opt_flags="-march=native"
read -p "Please specify optimization flags to use during compilation when bazel option "\
"\"--config=opt\" is specified [Default is $default_cc_opt_flags]: " CC_OPT_FLAGS
if [ -z "$CC_OPT_FLAGS" ]; then
CC_OPT_FLAGS=$default_cc_opt_flags
fi
fi
if is_windows; then
TF_NEED_GCP=0
TF_NEED_HDFS=0
TF_NEED_JEMALLOC=0
TF_NEED_OPENCL=0
fi
if is_linux; then
while [ "$TF_NEED_JEMALLOC" == "" ]; do
read -p "Do you wish to use jemalloc as the malloc implementation? [Y/n] "\
INPUT
case $INPUT in
[Yy]* ) echo "jemalloc enabled"; TF_NEED_JEMALLOC=1;;
[Nn]* ) echo "jemalloc disabled"; TF_NEED_JEMALLOC=0;;
"" ) echo "jemalloc enabled"; TF_NEED_JEMALLOC=1;;
* ) echo "Invalid selection: " $INPUT;;
esac
done
else
TF_NEED_JEMALLOC=0
fi
if [ "$TF_NEED_JEMALLOC" == "1" ]; then
sed_hyphen_i -e "s/WITH_JEMALLOC = False/WITH_JEMALLOC = True/" tensorflow/core/platform/default/build_config.bzl
else
sed_hyphen_i -e "s/WITH_JEMALLOC = True/WITH_JEMALLOC = False/" tensorflow/core/platform/default/build_config.bzl
fi
while [ "$TF_NEED_GCP" == "" ]; do
read -p "Do you wish to build TensorFlow with "\
"Google Cloud Platform support? [y/N] " INPUT
case $INPUT in
[Yy]* ) echo "Google Cloud Platform support will be enabled for "\
"TensorFlow"; TF_NEED_GCP=1;;
[Nn]* ) echo "No Google Cloud Platform support will be enabled for "\
"TensorFlow"; TF_NEED_GCP=0;;
"" ) echo "No Google Cloud Platform support will be enabled for "\
"TensorFlow"; TF_NEED_GCP=0;;
* ) echo "Invalid selection: " $INPUT;;
esac
done
if [ "$TF_NEED_GCP" == "1" ]; then
## Verify that libcurl header files are available.
# Only check Linux, since on MacOS the header files are installed with XCode.
if is_linux && [[ ! -f "/usr/include/curl/curl.h" ]]; then
echo "ERROR: It appears that the development version of libcurl is not "\
"available. Please install the libcurl3-dev package."
exit 1
fi
# Update Bazel build configuration.
sed_hyphen_i -e "s/WITH_GCP_SUPPORT = False/WITH_GCP_SUPPORT = True/" tensorflow/core/platform/default/build_config.bzl
else
# Update Bazel build configuration.
sed_hyphen_i -e "s/WITH_GCP_SUPPORT = True/WITH_GCP_SUPPORT = False/" tensorflow/core/platform/default/build_config.bzl
fi
while [ "$TF_NEED_HDFS" == "" ]; do
read -p "Do you wish to build TensorFlow with "\
"Hadoop File System support? [y/N] " INPUT
case $INPUT in
[Yy]* ) echo "Hadoop File System support will be enabled for "\
"TensorFlow"; TF_NEED_HDFS=1;;
[Nn]* ) echo "No Hadoop File System support will be enabled for "\
"TensorFlow"; TF_NEED_HDFS=0;;
"" ) echo "No Hadoop File System support will be enabled for "\
"TensorFlow"; TF_NEED_HDFS=0;;
* ) echo "Invalid selection: " $INPUT;;
esac
done
if [ "$TF_NEED_HDFS" == "1" ]; then
# Update Bazel build configuration.
sed_hyphen_i -e "s/WITH_HDFS_SUPPORT = False/WITH_HDFS_SUPPORT = True/" tensorflow/core/platform/default/build_config.bzl
else
# Update Bazel build configuration.
sed_hyphen_i -e "s/WITH_HDFS_SUPPORT = True/WITH_HDFS_SUPPORT = False/" tensorflow/core/platform/default/build_config.bzl
fi
## Enable XLA.
while [ "$TF_ENABLE_XLA" == "" ]; do
read -p "Do you wish to build TensorFlow with the XLA just-in-time compiler (experimental)? [y/N] " INPUT
case $INPUT in
[Yy]* ) echo "XLA JIT support will be enabled for TensorFlow"; TF_ENABLE_XLA=1;;
[Nn]* ) echo "No XLA JIT support will be enabled for TensorFlow"; TF_ENABLE_XLA=0;;
"" ) echo "No XLA support will be enabled for TensorFlow"; TF_ENABLE_XLA=0;;
* ) echo "Invalid selection: " $INPUT;;
esac
done
if [ "$TF_ENABLE_XLA" == "1" ]; then
# Update Bazel build configuration.
sed_hyphen_i -e "s/^WITH_XLA_SUPPORT = [FT].*/WITH_XLA_SUPPORT = True/" tensorflow/core/platform/default/build_config_root.bzl
else
# Update Bazel build configuration.
sed_hyphen_i -e "s/^WITH_XLA_SUPPORT = [FT].*/WITH_XLA_SUPPORT = False/" tensorflow/core/platform/default/build_config_root.bzl
fi
# Invoke python_config and set up symlinks to python includes
./util/python/python_config.sh --setup "$PYTHON_BIN_PATH"
# Append CC optimization flags to bazel.rc
echo >> tools/bazel.rc
for opt in $CC_OPT_FLAGS; do
echo "build:opt --cxxopt=$opt --copt=$opt" >> tools/bazel.rc
done
# Run the gen_git_source to create links where bazel can track dependencies for
# git hash propagation
GEN_GIT_SOURCE=tensorflow/tools/git/gen_git_source.py
chmod a+x ${GEN_GIT_SOURCE}
"${PYTHON_BIN_PATH}" ${GEN_GIT_SOURCE} --configure "${SOURCE_BASE_DIR}"
## Set up SYCL-related environment settings
while [ "$TF_NEED_OPENCL" == "" ]; do
read -p "Do you wish to build TensorFlow with OpenCL support? [y/N] " INPUT
case $INPUT in
[Yy]* ) echo "OpenCL support will be enabled for TensorFlow"; TF_NEED_OPENCL=1;;
[Nn]* ) echo "No OpenCL support will be enabled for TensorFlow"; TF_NEED_OPENCL=0;;
"" ) echo "No OpenCL support will be enabled for TensorFlow"; TF_NEED_OPENCL=0;;
* ) echo "Invalid selection: " $INPUT;;
esac
done
## Set up Cuda-related environment settings
while [ "$TF_NEED_CUDA" == "" ]; do
read -p "Do you wish to build TensorFlow with CUDA support? [y/N] " INPUT
case $INPUT in
[Yy]* ) echo "CUDA support will be enabled for TensorFlow"; TF_NEED_CUDA=1;;
[Nn]* ) echo "No CUDA support will be enabled for TensorFlow"; TF_NEED_CUDA=0;;
"" ) echo "No CUDA support will be enabled for TensorFlow"; TF_NEED_CUDA=0;;
* ) echo "Invalid selection: " $INPUT;;
esac
done
export TF_NEED_CUDA
export TF_NEED_OPENCL
if [[ "$TF_NEED_CUDA" == "0" ]] && [[ "$TF_NEED_OPENCL" == "0" ]]; then
echo "Configuration finished"
bazel_clean_and_fetch
exit
fi
if [ "$TF_NEED_CUDA" == "1" ]; then
# Set up which gcc nvcc should use as the host compiler
# No need to set this on Windows
while ! is_windows && true; do
fromuser=""
if [ -z "$GCC_HOST_COMPILER_PATH" ]; then
default_gcc_host_compiler_path=$(which gcc || true)
read -p "Please specify which gcc should be used by nvcc as the host compiler. [Default is $default_gcc_host_compiler_path]: " GCC_HOST_COMPILER_PATH
fromuser="1"
if [ -z "$GCC_HOST_COMPILER_PATH" ]; then
GCC_HOST_COMPILER_PATH="$default_gcc_host_compiler_path"
fi
fi
if [ -e "$GCC_HOST_COMPILER_PATH" ]; then
export GCC_HOST_COMPILER_PATH
break
fi
echo "Invalid gcc path. ${GCC_HOST_COMPILER_PATH} cannot be found" 1>&2
if [ -z "$fromuser" ]; then
exit 1
fi
GCC_HOST_COMPILER_PATH=""
# Retry
done
# Find out where the CUDA toolkit is installed
while true; do
# Configure the Cuda SDK version to use.
if [ -z "$TF_CUDA_VERSION" ]; then
read -p "Please specify the CUDA SDK version you want to use, e.g. 7.0. [Leave empty to use system default]: " TF_CUDA_VERSION
fi
fromuser=""
if [ -z "$CUDA_TOOLKIT_PATH" ]; then
default_cuda_path=/usr/local/cuda
if is_windows; then
if [ -z "$CUDA_PATH" ]; then
default_cuda_path="C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v8.0"
else
default_cuda_path="$(cygpath -m "$CUDA_PATH")"
fi
fi
read -p "Please specify the location where CUDA $TF_CUDA_VERSION toolkit is installed. Refer to README.md for more details. [Default is $default_cuda_path]: " CUDA_TOOLKIT_PATH
fromuser="1"
if [ -z "$CUDA_TOOLKIT_PATH" ]; then
CUDA_TOOLKIT_PATH="$default_cuda_path"
fi
fi
if [[ -z "$TF_CUDA_VERSION" ]]; then
TF_CUDA_EXT=""
else
TF_CUDA_EXT=".$TF_CUDA_VERSION"
fi
if is_windows; then
CUDA_RT_LIB_PATH="lib/x64/cudart.lib"
elif is_linux; then
CUDA_RT_LIB_PATH="lib64/libcudart.so${TF_CUDA_EXT}"
elif is_macos; then
CUDA_RT_LIB_PATH="lib/libcudart${TF_CUDA_EXT}.dylib"
fi
if [ -e "${CUDA_TOOLKIT_PATH}/${CUDA_RT_LIB_PATH}" ]; then
export CUDA_TOOLKIT_PATH
export TF_CUDA_VERSION
break
fi
echo "Invalid path to CUDA $TF_CUDA_VERSION toolkit. ${CUDA_TOOLKIT_PATH}/${CUDA_RT_LIB_PATH} cannot be found"
if [ -z "$fromuser" ]; then
exit 1
fi
# Retry
TF_CUDA_VERSION=""
CUDA_TOOLKIT_PATH=""
done
# Find out where the cuDNN library is installed
while true; do
# Configure the Cudnn version to use.
if [ -z "$TF_CUDNN_VERSION" ]; then
read -p "Please specify the Cudnn version you want to use. [Leave empty to use system default]: " TF_CUDNN_VERSION
fi
fromuser=""
if [ -z "$CUDNN_INSTALL_PATH" ]; then
default_cudnn_path=${CUDA_TOOLKIT_PATH}
read -p "Please specify the location where cuDNN $TF_CUDNN_VERSION library is installed. Refer to README.md for more details. [Default is $default_cudnn_path]: " CUDNN_INSTALL_PATH
fromuser="1"
if [ -z "$CUDNN_INSTALL_PATH" ]; then
CUDNN_INSTALL_PATH=$default_cudnn_path
fi
# Result returned from "read" will be used unexpanded. That make "~" unuseable.
# Going through one more level of expansion to handle that.
CUDNN_INSTALL_PATH=`"${PYTHON_BIN_PATH}" -c "import os; print(os.path.realpath(os.path.expanduser('${CUDNN_INSTALL_PATH}')))"`
fi
if [[ -z "$TF_CUDNN_VERSION" ]]; then
TF_CUDNN_EXT=""
else
TF_CUDNN_EXT=".$TF_CUDNN_VERSION"
fi
if is_windows; then
CUDA_DNN_LIB_PATH="lib/x64/cudnn.lib"
CUDA_DNN_LIB_ALT_PATH="lib/x64/cudnn.lib"
elif is_linux; then
CUDA_DNN_LIB_PATH="lib64/libcudnn.so${TF_CUDNN_EXT}"
CUDA_DNN_LIB_ALT_PATH="libcudnn.so${TF_CUDNN_EXT}"
elif is_macos; then
CUDA_DNN_LIB_PATH="lib/libcudnn${TF_CUDNN_EXT}.dylib"
CUDA_DNN_LIB_ALT_PATH="libcudnn${TF_CUDNN_EXT}.dylib"
fi
if [ -e "$CUDNN_INSTALL_PATH/${CUDA_DNN_LIB_ALT_PATH}" -o -e "$CUDNN_INSTALL_PATH/${CUDA_DNN_LIB_PATH}" ]; then
export TF_CUDNN_VERSION
export CUDNN_INSTALL_PATH
break
fi
if is_linux; then
if ! type ldconfig > /dev/null 2>&1; then
LDCONFIG_BIN=/sbin/ldconfig
else
LDCONFIG_BIN=ldconfig
fi
CUDNN_PATH_FROM_LDCONFIG="$($LDCONFIG_BIN -p | sed -n 's/.*libcudnn.so .* => \(.*\)/\1/p')"
if [ -e "${CUDNN_PATH_FROM_LDCONFIG}${TF_CUDNN_EXT}" ]; then
export TF_CUDNN_VERSION
export CUDNN_INSTALL_PATH="$(dirname ${CUDNN_PATH_FROM_LDCONFIG})"
break
fi
fi
echo "Invalid path to cuDNN ${CUDNN_VERSION} toolkit. Neither of the following two files can be found:"
echo "${CUDNN_INSTALL_PATH}/${CUDA_DNN_LIB_PATH}"
echo "${CUDNN_INSTALL_PATH}/${CUDA_DNN_LIB_ALT_PATH}"
if is_linux; then
echo "${CUDNN_PATH_FROM_LDCONFIG}${TF_CUDNN_EXT}"
fi
if [ -z "$fromuser" ]; then
exit 1
fi
# Retry
TF_CUDNN_VERSION=""
CUDNN_INSTALL_PATH=""
done
# Configure the compute capabilities that TensorFlow builds for.
# Since Cuda toolkit is not backward-compatible, this is not guaranteed to work.
while true; do
fromuser=""
default_cuda_compute_capabilities="3.5,5.2"
if [ -z "$TF_CUDA_COMPUTE_CAPABILITIES" ]; then
cat << EOF
Please specify a list of comma-separated Cuda compute capabilities you want to build with.
You can find the compute capability of your device at: https://developer.nvidia.com/cuda-gpus.
Please note that each additional compute capability significantly increases your build time and binary size.
EOF
read -p "[Default is: \"3.5,5.2\"]: " TF_CUDA_COMPUTE_CAPABILITIES
fromuser=1
fi
if [ -z "$TF_CUDA_COMPUTE_CAPABILITIES" ]; then
TF_CUDA_COMPUTE_CAPABILITIES=$default_cuda_compute_capabilities
fi
# Check whether all capabilities from the input is valid
COMPUTE_CAPABILITIES=${TF_CUDA_COMPUTE_CAPABILITIES//,/ }
ALL_VALID=1
for CAPABILITY in $COMPUTE_CAPABILITIES; do
if [[ ! "$CAPABILITY" =~ [0-9]+.[0-9]+ ]]; then
echo "Invalid compute capability: " $CAPABILITY
ALL_VALID=0
break
fi
done
if [ "$ALL_VALID" == "0" ]; then
if [ -z "$fromuser" ]; then
exit 1
fi
else
export TF_CUDA_COMPUTE_CAPABILITIES
break
fi
TF_CUDA_COMPUTE_CAPABILITIES=""
done
if is_windows; then
# The following three variables are needed for MSVC toolchain configuration in Bazel
export CUDA_PATH="$CUDA_TOOLKIT_PATH"
export CUDA_COMPUTE_CAPABILITIES="$TF_CUDA_COMPUTE_CAPABILITIES"
export NO_WHOLE_ARCHIVE_OPTION=1
# Set GCC_HOST_COMPILER_PATH to keep cuda_configure.bzl happy
export GCC_HOST_COMPILER_PATH="/usr/bin/dummy_compiler"
fi
# end of if "$TF_NEED_CUDA" == "1"
fi
# OpenCL configuration
if [ "$TF_NEED_OPENCL" == "1" ]; then
# Determine which C++ compiler should be used as the host compiler
while true; do
fromuser=""
if [ -z "$HOST_CXX_COMPILER" ]; then
default_cxx_host_compiler=$(which clang++-3.6 || true)
read -p "Please specify which C++ compiler should be used as the host C++ compiler. [Default is $default_cxx_host_compiler]: " HOST_CXX_COMPILER
fromuser="1"
if [ -z "$HOST_CXX_COMPILER" ]; then
HOST_CXX_COMPILER=$default_cxx_host_compiler
fi
fi
if [ -e "$HOST_CXX_COMPILER" ]; then
export HOST_CXX_COMPILER
break
fi
echo "Invalid C++ compiler path. ${HOST_CXX_COMPILER} cannot be found" 1>&2
if [ -z "$fromuser" ]; then
exit 1
fi
HOST_CXX_COMPILER=""
# Retry
done
# Determine which C compiler should be used as the host compiler
while true; do
fromuser=""
if [ -z "$HOST_C_COMPILER" ]; then
default_c_host_compiler=$(which clang-3.6 || true)
read -p "Please specify which C compiler should be used as the host C compiler. [Default is $default_c_host_compiler]: " HOST_C_COMPILER
fromuser="1"
if [ -z "$HOST_C_COMPILER" ]; then
HOST_C_COMPILER=$default_c_host_compiler
fi
fi
if [ -e "$HOST_C_COMPILER" ]; then
export HOST_C_COMPILER
break
fi
echo "Invalid C compiler path. ${HOST_C_COMPILER} cannot be found" 1>&2
if [ -z "$fromuser" ]; then
exit 1
fi
HOST_C_COMPILER=""
# Retry
done
while true; do
# Configure the OPENCL version to use.
TF_OPENCL_VERSION="1.2"
# Point to ComputeCpp root
if [ -z "$COMPUTECPP_TOOLKIT_PATH" ]; then
default_computecpp_toolkit_path=/usr/local/computecpp
read -p "Please specify the location where ComputeCpp for SYCL $TF_OPENCL_VERSION is installed. [Default is $default_computecpp_toolkit_path]: " COMPUTECPP_TOOLKIT_PATH
fromuser="1"
if [ -z "$COMPUTECPP_TOOLKIT_PATH" ]; then
COMPUTECPP_TOOLKIT_PATH=$default_computecpp_toolkit_path
fi
fi
if is_linux; then
SYCL_RT_LIB_PATH="lib/libComputeCpp.so"
fi
if [ -e "${COMPUTECPP_TOOLKIT_PATH}/${SYCL_RT_LIB_PATH}" ]; then
export COMPUTECPP_TOOLKIT_PATH
break
fi
echo "Invalid SYCL $TF_OPENCL_VERSION library path. ${COMPUTECPP_TOOLKIT_PATH}/${SYCL_RT_LIB_PATH} cannot be found"
if [ -z "$fromuser" ]; then
exit 1
fi
# Retry
TF_OPENCL_VERSION=""
COMPUTECPP_TOOLKIT_PATH=""
done
# end of if "$TF_NEED_OPENCL" == "1"
fi
bazel_clean_and_fetch
echo "Configuration finished"