diff options
Diffstat (limited to 'configure')
| -rwxr-xr-x | configure | 814 |
1 files changed, 5 insertions, 809 deletions
@@ -3,816 +3,12 @@ set -e set -o pipefail -MIN_BAZEL_VERSION=0.4.5 - -# 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() { - [[ "${PLATFORM}" == "linux" ]] -} - -function is_macos() { - [[ "${PLATFORM}" == "darwin" ]] -} - -function is_windows() { - # On windows, the shell script is actually running in msys - [[ "${PLATFORM}" =~ msys_nt*|mingw*|cygwin*|uwin* ]] -} - -function is_ppc64le() { - [[ "$(uname -m)" == "ppc64le" ]] -} - -function sed_in_place() { - sed -e $1 $2 > "$2.bak" - mv "$2.bak" $2 -} - -function write_to_bazelrc() { - echo "$1" >> .tf_configure.bazelrc -} - -function write_action_env_to_bazelrc() { - write_to_bazelrc "build --action_env $1=\"$2\"" -} - -function python_path { - "$PYTHON_BIN_PATH" - <<END -from __future__ import print_function -import site -import os - -try: - input = raw_input -except NameError: - pass - -python_paths = [] -if os.getenv('PYTHONPATH') is not None: - python_paths = os.getenv('PYTHONPATH').split(':') -try: - library_paths = site.getsitepackages() -except AttributeError: - from distutils.sysconfig import get_python_lib - library_paths = [get_python_lib()] -all_paths = set(python_paths + library_paths) - -paths = [] -for path in all_paths: - if os.path.isdir(path): - paths.append(path) - -print(",".join(paths)) -END -} - -function setup_python { - ## 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 - - if [ -z "$PYTHON_LIB_PATH" ]; then - # Split python_path into an array of paths, this allows path containing spaces - IFS=',' read -r -a python_lib_path <<< "$(python_path)" - - if [ 1 = "$USE_DEFAULT_PYTHON_LIB_PATH" ]; then - PYTHON_LIB_PATH=${python_lib_path[0]} - echo "Using python library path: $PYTHON_LIB_PATH" - - else - echo "Found possible Python library paths:" - for x in "${python_lib_path[@]}"; do - echo " $x" - done - set -- "${python_lib_path[@]}" - echo "Please input the desired Python library path to use. Default is [$1]" - read b || true - if [ "$b" == "" ]; then - PYTHON_LIB_PATH=${python_lib_path[0]} - echo "Using python library path: $PYTHON_LIB_PATH" - else - PYTHON_LIB_PATH="$b" - fi - fi - fi - - if [ ! -x "$PYTHON_BIN_PATH" ] || [ -d "$PYTHON_BIN_PATH" ]; then - echo "PYTHON_BIN_PATH is not executable. Is it the python binary?" - exit 1 - fi - - local python_major_version - python_major_version=$("${PYTHON_BIN_PATH}" -c 'from __future__ import print_function; import sys; print(sys.version_info[0]);' | head -c1) - if [ -z "$python_major_version" ]; then - echo -e "\n\nERROR: Problem getting python version. Is $PYTHON_BIN_PATH the correct python binary?" - exit 1 - fi - - # Convert python path to Windows style before writing into bazel.rc - if is_windows; then - PYTHON_BIN_PATH="$(cygpath -m "$PYTHON_BIN_PATH")" - PYTHON_LIB_PATH="$(cygpath -m "$PYTHON_LIB_PATH")" - fi - - # Set-up env variables used by python_configure.bzl - write_action_env_to_bazelrc "PYTHON_BIN_PATH" "$PYTHON_BIN_PATH" - write_action_env_to_bazelrc "PYTHON_LIB_PATH" "$PYTHON_LIB_PATH" - write_to_bazelrc "build --define PYTHON_BIN_PATH=\"$PYTHON_BIN_PATH\"" - write_to_bazelrc "build --define PYTHON_LIB_PATH=\"$PYTHON_LIB_PATH\"" - write_to_bazelrc "build --force_python=py$python_major_version" - write_to_bazelrc "build --host_force_python=py$python_major_version" - write_to_bazelrc "build --python${python_major_version}_path=\"$PYTHON_BIN_PATH\"" - write_to_bazelrc "test --force_python=py$python_major_version" - write_to_bazelrc "test --host_force_python=py$python_major_version" - write_to_bazelrc "test --define PYTHON_BIN_PATH=\"$PYTHON_BIN_PATH\"" - write_to_bazelrc "test --define PYTHON_LIB_PATH=\"$PYTHON_LIB_PATH\"" - write_to_bazelrc "run --define PYTHON_BIN_PATH=\"$PYTHON_BIN_PATH\"" - write_to_bazelrc "run --define PYTHON_LIB_PATH=\"$PYTHON_LIB_PATH\"" - - # Write tools/python_bin_path.sh - echo "export PYTHON_BIN_PATH=\"$PYTHON_BIN_PATH\"" > tools/python_bin_path.sh -} - -function version { - echo "$@" | awk -F. '{ printf("%03d%03d%03d\n", $1,$2,$3); }'; -} - - -bazel version > bazel.version -set +e -curr_bazel_version=$(grep -m 1 'Build label:' bazel.version | cut -d ' ' -f3) -set -e -rm -f bazel.version - - -echo "You have bazel $curr_bazel_version installed." -if [ -z "$curr_bazel_version" ]; then - echo "WARNING: current bazel installation is not a release version." - echo "Make sure you are running at least bazel $MIN_BAZEL_VERSION." -elif [ "$(version "$MIN_BAZEL_VERSION")" -gt "$(version "$curr_bazel_version")" ]; then - echo "Please upgrade your bazel installation to version $MIN_BAZEL_VERSION or higher to build TensorFlow!" - echo "Exiting..." - exit 1 -fi - -# This file contains customized config settings. -rm -f .tf_configure.bazelrc -touch .tf_configure.bazelrc -if [[ ! -e .bazelrc ]]; then - if [[ -e "${HOME}/.bazelrc" ]]; then - echo "import ${HOME}/.bazelrc" >.bazelrc - else - touch .bazelrc - fi -fi -sed_in_place "/tf_configure/d" .bazelrc -echo "import %workspace%/.tf_configure.bazelrc" >> .bazelrc - -# Delete any leftover BUILD files from the Makefile build, which would interfere -# with Bazel parsing. -MAKEFILE_DOWNLOAD_DIR=tensorflow/contrib/makefile/downloads -if [ -d "${MAKEFILE_DOWNLOAD_DIR}" ]; then - find ${MAKEFILE_DOWNLOAD_DIR} -type f -name '*BUILD' -delete -fi - -setup_python - -## Set up MKL related environment settings -write_to_bazelrc 'build:mkl --define with_mkl_support=true' -write_to_bazelrc 'build:mkl --define using_mkl=true' -write_to_bazelrc 'build:mkl -c opt' -write_to_bazelrc 'build:mkl --copt="-DEIGEN_USE_VML"' -echo "" -echo "Add \"--config=mkl\" to your bazel command to build with MKL support." -echo "Please note that MKL on MacOS or windows is still not supported." -echo "If you would like to use a local MKL instead of downloading, please " -echo " set the environment variable \"TF_MKL_ROOT\" every time before build." -echo "" -## End MKL setup - -## Set up architecture-dependent optimization flags. -if [ -z "$CC_OPT_FLAGS" ]; then - if is_ppc64le; then - # gcc on ppc64le does not support -march, use mcpu instead - default_cc_opt_flags="-mcpu=native" - else - default_cc_opt_flags="-march=native" - fi - 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=$default_cc_opt_flags - fi -fi - -if is_windows; then - TF_NEED_GCP=0 - TF_NEED_HDFS=0 - TF_NEED_JEMALLOC=0 - TF_NEED_OPENCL=0 - TF_CUDA_CLANG=0 -fi - -if is_linux; then - while [ "$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 - write_to_bazelrc 'build --define with_jemalloc=true' -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 - write_to_bazelrc 'build --define with_gcp_support=true' -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 - write_to_bazelrc 'build --define with_hdfs_support=true' -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 - write_to_bazelrc 'build --define with_xla_support=true' -fi - -# Verbs configuration -while [ "$TF_NEED_VERBS" == "" ]; do - read -p "Do you wish to build TensorFlow with "\ -"VERBS support? [y/N] " INPUT - case $INPUT in - [Yy]* ) echo "VERBS support will be enabled for "\ -"TensorFlow"; TF_NEED_VERBS=1;; - [Nn]* ) echo "No VERBS support will be enabled for "\ -"TensorFlow"; TF_NEED_VERBS=0;; - "" ) echo "No VERBS support will be enabled for "\ -"TensorFlow"; TF_NEED_VERBS=0;; - * ) echo "Invalid selection: " $INPUT;; - esac -done - -if [[ "$TF_NEED_VERBS" == "1" ]]; then - write_to_bazelrc 'build --define with_verbs_support=true' -fi - -# Append CC optimization flags to bazel.rc -for opt in $CC_OPT_FLAGS; do - write_to_bazelrc "build:opt --cxxopt=$opt --copt=$opt" -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: " $INPUT;; - esac -done - -export TF_NEED_CUDA -write_action_env_to_bazelrc "TF_NEED_CUDA" "$TF_NEED_CUDA" - -export TF_NEED_OPENCL -write_action_env_to_bazelrc "TF_NEED_OPENCL" "$TF_NEED_OPENCL" - -if [ "$TF_NEED_CUDA" == "1" ]; then -while [[ "$TF_CUDA_CLANG" == "" ]]; do - read -p "Do you want to use clang as CUDA compiler? [y/N] " INPUT - case $INPUT in - [Yy]* ) echo "Clang will be used as CUDA compiler"; TF_CUDA_CLANG=1;; - [Nn]* ) echo "nvcc will be used as CUDA compiler"; TF_CUDA_CLANG=0;; - "" ) echo "nvcc will be used as CUDA compiler"; TF_CUDA_CLANG=0;; - * ) echo "Invalid selection: " $INPUT;; - esac -done - -export TF_CUDA_CLANG -write_action_env_to_bazelrc "TF_CUDA_CLANG" "$TF_CUDA_CLANG" - -# Set up which clang we should use as the cuda / host compiler. -while [[ "$TF_CUDA_CLANG" == "1" ]] && true; do - fromuser="" - if [ -z "$CLANG_CUDA_COMPILER_PATH" ]; then - default_clang_host_compiler_path=$(which clang || true) - read -p "Please specify which clang should be used as device and host compiler. [Default is $default_clang_host_compiler_path]: " CLANG_CUDA_COMPILER_PATH - fromuser="1" - if [ -z "$CLANG_CUDA_COMPILER_PATH" ]; then - CLANG_CUDA_COMPILER_PATH="$default_clang_host_compiler_path" - fi - fi - if [ -e "$CLANG_CUDA_COMPILER_PATH" ]; then - export CLANG_CUDA_COMPILER_PATH - write_action_env_to_bazelrc "CLANG_CUDA_COMPILER_PATH" "$CLANG_CUDA_COMPILER_PATH" - break - fi - echo "Invalid clang path. ${CLANG_CUDA_COMPILER_PATH} cannot be found" 1>&2 - if [ -z "$fromuser" ]; then - exit 1 - fi - CLANG_CUDA_COMPILER_PATH="" - # Retry -done - -# Find out where the CUDA toolkit is installed -while true; do - # Configure the Cuda SDK version to use. - if [ -z "$TF_CUDA_VERSION" ]; then - read -p "Please specify the CUDA SDK version you want to use, e.g. 7.0. [Leave empty to default to CUDA 8.0]: " TF_CUDA_VERSION - fi - # Set default CUDA version if not set - TF_CUDA_VERSION=${TF_CUDA_VERSION:-8.0} - - 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 - elif is_linux; then - # If the default doesn't exist, try an alternative default. - if [ ! -d $default_cuda_path ] && [ -d /opt/cuda ]; then - default_cuda_path=/opt/cuda - 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}/${CUDA_RT_LIB_PATH}" ]; then - export CUDA_TOOLKIT_PATH - write_action_env_to_bazelrc "CUDA_TOOLKIT_PATH" "$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 "$fromuser" ]; then - exit 1 - fi - # Retry - TF_CUDA_VERSION="" - CUDA_TOOLKIT_PATH="" -done - -export TF_CUDA_VERSION -write_action_env_to_bazelrc "TF_CUDA_VERSION" "$TF_CUDA_VERSION" - -# Set up which gcc nvcc should use as the host compiler -# No need to set this on Windows -while [[ "$TF_CUDA_CLANG" != "1" ]] && ! is_windows && true; do - fromuser="" - if [ -z "$GCC_HOST_COMPILER_PATH" ]; then - default_gcc_host_compiler_path=$(which gcc || true) - cuda_bin_symlink="$CUDA_TOOLKIT_PATH/bin/gcc" - if [ -L "$cuda_bin_symlink" ]; then - default_gcc_host_compiler_path=$(readlink $cuda_bin_symlink) - fi - 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 - write_action_env_to_bazelrc "GCC_HOST_COMPILER_PATH" "$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 cuDNN library is installed -while true; do - # Configure the cuDNN version to use. - if [ -z "$TF_CUDNN_VERSION" ]; then - read -p "Please specify the cuDNN version you want to use. [Leave empty to default to cuDNN 6.0]: " TF_CUDNN_VERSION - fi - # Set default CUDNN version if not set - TF_CUDNN_VERSION=${TF_CUDNN_VERSION:-6} - - 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=$default_cudnn_path - fi - # Result returned from "read" will be used unexpanded. That make "~" unusable. - # Going through one more level of expansion to handle that. - CUDNN_INSTALL_PATH=`"${PYTHON_BIN_PATH}" -c "import os; print(os.path.realpath(os.path.expanduser('${CUDNN_INSTALL_PATH}')))"` - if is_windows; then - CUDNN_INSTALL_PATH="$(cygpath -m "$CUDNN_INSTALL_PATH")" - fi - fi - - if [[ -z "$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/${CUDA_DNN_LIB_ALT_PATH}" ] || [ -e "$CUDNN_INSTALL_PATH/${CUDA_DNN_LIB_PATH}" ]; then - export TF_CUDNN_VERSION - write_action_env_to_bazelrc "TF_CUDNN_VERSION" "$TF_CUDNN_VERSION" - export CUDNN_INSTALL_PATH - write_action_env_to_bazelrc "CUDNN_INSTALL_PATH" "$CUDNN_INSTALL_PATH" - break - fi - - if is_linux; then - if ! type ldconfig > /dev/null 2>&1; then - LDCONFIG_BIN=/sbin/ldconfig - else - LDCONFIG_BIN=ldconfig - fi - CUDNN_PATH_FROM_LDCONFIG="$($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 - CUDNN_INSTALL_PATH="$(dirname ${CUDNN_PATH_FROM_LDCONFIG})" - write_action_env_to_bazelrc "CUDNN_INSTALL_PATH" "$CUDNN_INSTALL_PATH" - 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 - -export TF_CUDNN_VERSION -write_action_env_to_bazelrc "TF_CUDNN_VERSION" "$TF_CUDNN_VERSION" - -# Configure the compute capabilities that TensorFlow builds for. -# Since Cuda toolkit is not backward-compatible, this is not guaranteed to work. -function get_native_cuda_compute_capabilities { - device_query_bin="$CUDA_TOOLKIT_PATH/extras/demo_suite/deviceQuery" # Also works on Windows without .exe - "$device_query_bin" | grep 'Capability' | grep -o '[0-9]*\.[0-9]*' | sed ':a;{N;s/\n/,/};ba' - exit 0 # ensure that this function always exit success even if device detection fails, to prevent the whole configure from aborting -} -while true; do - fromuser="" - native_cuda_compute_capabilities=$(get_native_cuda_compute_capabilities) - default_cuda_compute_capabilities=${native_cuda_compute_capabilities:-"3.5,5.2"} - if [ -z "$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: \"$default_cuda_compute_capabilities\"]: " TF_CUDA_COMPUTE_CAPABILITIES - fromuser=1 - fi - if [ -z "$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 "$fromuser" ]; then - exit 1 - fi - else - export TF_CUDA_COMPUTE_CAPABILITIES - write_action_env_to_bazelrc "TF_CUDA_COMPUTE_CAPABILITIES" "$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 - write_action_env_to_bazelrc "CUDA_PATH" "$CUDA_PATH" - write_action_env_to_bazelrc "CUDA_COMPUTE_CAPABILITIES" "$CUDA_COMPUTE_CAPABILITIES" - write_action_env_to_bazelrc "NO_WHOLE_ARCHIVE_OPTION" "1" - write_to_bazelrc "build --config=win-cuda" - write_to_bazelrc "test --config=win-cuda" -else - # If CUDA is enabled, always use GPU during build and test. - if [ "$TF_CUDA_CLANG" == "1" ]; then - write_to_bazelrc "build --config=cuda_clang" - write_to_bazelrc "test --config=cuda_clang" - else - write_to_bazelrc "build --config=cuda" - write_to_bazelrc "test --config=cuda" - fi +if [ -z "$PYTHON_BIN_PATH" ]; then + PYTHON_BIN_PATH=$(which python || which python3 || true) fi -# end of if "$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 g++ || 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 - write_action_env_to_bazelrc "HOST_CXX_COMPILER" "$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 gcc || 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 - write_action_env_to_bazelrc "HOST_C_COMPILER" "$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}/${SYCL_RT_LIB_PATH}" ]; then - export COMPUTECPP_TOOLKIT_PATH - write_action_env_to_bazelrc "COMPUTECPP_TOOLKIT_PATH" "$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 - - -while [ "$TF_NEED_MPI" == "" ]; do - read -p "Do you wish to build TensorFlow with "\ -"MPI support? [y/N] " INPUT - case $INPUT in - [Yy]* ) echo "MPI support will be enabled for "\ -"TensorFlow"; TF_NEED_MPI=1;; - [Nn]* ) echo "MPI support will not be enabled for "\ -"TensorFlow"; TF_NEED_MPI=0;; - "" ) echo "MPI support will not be enabled for "\ -"TensorFlow"; TF_NEED_MPI=0;; - * ) echo "Invalid selection: " $INPUT;; - esac -done - -# Find out where the MPI toolkit is installed -while true; do - if [ "$TF_NEED_MPI" == "0" ]; then - break; - fi - - fromuser="" - if [ -z "$MPI_HOME" ]; then - #Get the base folder by removing the bin path - default_mpi_path=$(dirname $(dirname $(which mpirun)) || dirname $(dirname $(which mpiexec)) || true) - read -p "Please specify the MPI toolkit folder. [Default is $default_mpi_path]: " MPI_HOME - fromuser="1" - if [ -z "$MPI_HOME" ]; then - MPI_HOME=$default_mpi_path - fi - fi - - #Check that the include and library folders are where we expect them to be - if [ -e "$MPI_HOME/include" ] && [ -e "$MPI_HOME/lib" ]; then - break - fi - - echo "Invalid path to the MPI Toolkit. ${MPI_HOME}/include or ${MPI_HOME}/lib cannot be found." - if [ -z "$fromuser" ]; then - exit 1 - fi - - # Retry - MPI_HOME="" -done - - -if [ "$TF_NEED_MPI" == "1" ]; then - write_to_bazelrc 'build --define with_mpi_support=true' - - #Link the MPI header files - ln -sf "${MPI_HOME}/include/mpi.h" third_party/mpi/mpi.h - - - #Determine if we use OpenMPI or MVAPICH, these require different header files - #to be included here to make bazel dependency checker happy - - if [ -e "${MPI_HOME}/include/mpi_portable_platform.h" ]; then - #OpenMPI - ln -sf "${MPI_HOME}/include/mpi_portable_platform.h" third_party/mpi/ - sed -i -e "s/MPI_LIB_IS_OPENMPI=False/MPI_LIB_IS_OPENMPI=True/" third_party/mpi/mpi.bzl - else - #MVAPICH / MPICH - ln -sf "${MPI_HOME}/include/mpio.h" third_party/mpi/ - ln -sf "${MPI_HOME}/include/mpicxx.h" third_party/mpi/ - sed -i -e "s/MPI_LIB_IS_OPENMPI=True/MPI_LIB_IS_OPENMPI=False/" third_party/mpi/mpi.bzl - fi - - - if [ -e "${MPI_HOME}/lib/libmpi.so" ]; then - ln -sf "${MPI_HOME}/lib/libmpi.so" third_party/mpi/ - else - echo "Cannot find the MPI library file in ${MPI_HOME}/lib " - exit 1 - fi -fi +# Set all env variables +$PYTHON_BIN_PATH configure.py -echo "Configuration finished" +echo "Configuration finished"
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