#!/usr/bin/env bash

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
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


echo "Configuration finished"