configure

#!/bin/bash

## Set up Cuda-related environment settings

while [ "$TF_NEED_CUDA" == "" ]; do
  read -p "Do you wish to build TensorFlow with GPU support? [y/n] " INPUT
  case $INPUT in
    [Yy]* ) echo -e "GPU support will be enabled for TensorFlow\n"; TF_NEED_CUDA=1;;
    [Nn]* ) echo -e "No GPU support will be enabled for TensorFlow\n"; TF_NEED_CUDA=0;;
    * ) echo "Invalid selection: " $INPUT;;
  esac
done

if [ "$TF_NEED_CUDA" == "0" ]; then
  echo "Configuration finished"
  exit
fi

# Find out where the CUDA toolkit is installed
while true; do
  fromuser=""
  if [ -z "$CUDA_TOOLKIT_PATH" ]; then
    default_cuda_path=/usr/local/cuda
    read -p "Please specify the location where CUDA 7.0 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=$default_cuda_path
    fi
  fi
  if [ -e "$CUDA_TOOLKIT_PATH/lib64/libcudart.so.7.0" ]; then
    break
  fi
  echo "Invalid path to CUDA 7.0 toolkit. ${CUDA_TOOLKIT_PATH}/lib64/libcudart.so.7.0 cannot be found"
  if [ -z "$fromuser" ]; then
    exit 1
  fi
  CUDA_TOOLKIT_PATH=""
  # Retry
done

# Find out where the CUDNN library is installed
while true; do
  fromuser=""
  if [ -z "$CUDNN_INSTALL_PATH" ]; then
    default_cudnn_path=${CUDA_TOOLKIT_PATH}
    read -p "Please specify the location where CUDNN 6.5 V2 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=$default_cudnn_path
    fi
    # Result returned from "read" will be used unexpanded. That make "~" unuseable.
    # Going through one more level of expansion to handle that.
    CUDNN_INSTALL_PATH=$(bash -c "readlink -f $CUDNN_INSTALL_PATH")
  fi
  if [ -e "$CUDNN_INSTALL_PATH/libcudnn.so.6.5" -o -e "$CUDNN_INSTALL_PATH/lib64/libcudnn.so.6.5" ]; then
    break
  fi
  echo "Invalid path to CUDNN 6.5 V2 toolkit. Neither of the following two files can be found:"
  echo "$CUDNN_INSTALL_PATH/lib64/libcudnn.so.6.5"
  echo "$CUDNN_INSTALL_PATH/libcudnn.so.6.5"
  if [ -z "$fromuser" ]; then
    exit 1
  fi
  CUDNN_INSTALL_PATH=""
  # Retry
done

cat > third_party/gpus/cuda/cuda.config <<EOF
# CUDA_TOOLKIT_PATH refers to the CUDA toolkit. Tensorflow requries Cuda 7.0
# at the moment.
CUDA_TOOLKIT_PATH="$CUDA_TOOLKIT_PATH"

# CUDNN_INSTALL_PATH refers to the CUDNN toolkit. The cudnn header and library
# files can be either in this directory, or under include/ and lib64/
# directories separately.
CUDNN_INSTALL_PATH="$CUDNN_INSTALL_PATH"
EOF

function UnofficialSetting() {
  echo -e "\nWARNING: You are configuring unofficial settings in TensorFlow. Because some external libraries are not backward compatible, these settings are largely untested and unsupported. \n"

  # 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=""
    if [ -z "$TF_CUDA_COMPUTE_CAPABILITIES" ]; then
cat << EOF
Please specify a list of comma-separated Cuda compute capabilities you want to build with.
You can find the compute capability of your device at: https://developer.nvidia.com/cuda-gpus.
Please note that each additional compute capability significantly increases your build time and binary size.
EOF
      read -p "[Default is: \"3.5,5.2\"]: " TF_CUDA_COMPUTE_CAPABILITIES
      fromuser=1
    fi
    # Check whether all capabilities from the input is valid
    COMPUTE_CAPABILITIES=${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
      break
    fi
    TF_CUDA_COMPUTE_CAPABILITIES=""
  done

  if [ ! -z "$TF_CUDA_COMPUTE_CAPABILITIES" ]; then
    export WARNING="Unofficial setting. DO NOT"" SUBMIT!!!"
    function CudaGenCodeOpts() {
      OUTPUT=""
      for CAPABILITY in $@; do
        OUTPUT=${OUTPUT}"   \"${CAPABILITY}\",     "
      done
      echo $OUTPUT
    }
    export CUDA_GEN_CODES_OPTS=$(CudaGenCodeOpts ${TF_CUDA_COMPUTE_CAPABILITIES//,/ })
    perl -pi -0 -e 's,\n( *)([^\n]*supported_cuda_compute_capabilities\s*=\s*\[).*?(\]),\n\1# $ENV{WARNING}\n\1\2$ENV{CUDA_GEN_CODES_OPTS}\3,s' third_party/gpus/crosstool/clang/bin/crosstool_wrapper_driver_is_not_gcc
    function CudaVersionOpts() {
      OUTPUT=""
      for CAPABILITY in $@; do
        OUTPUT=$OUTPUT"CudaVersion(\"${CAPABILITY}\"), "
      done
      echo $OUTPUT
    }
    export CUDA_VERSION_OPTS=$(CudaVersionOpts ${TF_CUDA_COMPUTE_CAPABILITIES//,/ })
    perl -pi -0 -e 's,\n( *)([^\n]*supported_cuda_compute_capabilities\s*=\s*\{).*?(\}),\n\1// $ENV{WARNING}\n\1\2$ENV{CUDA_VERSION_OPTS}\3,s' tensorflow/core/common_runtime/gpu/gpu_device.cc
  fi
}

# Only run the unofficial settings when users explicitly choose to.
if [ "$TF_UNOFFICIAL_SETTING" == "1" ]; then
  UnofficialSetting
fi

# Invoke the cuda_config.sh and set up the TensorFlow's canonical view of the Cuda libraries
(cd third_party/gpus/cuda; ./cuda_config.sh;) || exit -1

echo "Configuration finished"