cufft-0.1.1.0: configure.ac
AC_INIT([Haskell CUDA FFT bindings], [0.1.0.0], [robertce@cse.unsw.edu.au], [cufft])
AC_CONFIG_SRCDIR([Foreign/CUDA/FFT.hs])
AC_CONFIG_FILES([cufft.buildinfo])
AC_PROG_CC
# Determine the target platform
#
AC_CANONICAL_TARGET
# Search the user's PATH for the 'nvcc' compiler. If it is found, add this
# prefix to the include and library search directories. Additionally, set nvcc
# as the C preprocessor for c2hs (only, or it won't try to link cudart)
#
AC_ARG_WITH([compiler], [ --with-compiler=HC use HC as the Haskell compiler],
[GHC=$withval], [AC_PATH_PROG(GHC, ghc)])
AC_ARG_WITH([nvcc], [ --with-nvcc=NVCC use NVCC as the CUDA compiler],
[NVCC=$withval], [AC_PATH_PROG(NVCC, nvcc, [], [$PATH:/usr/local/cuda/bin])])
AC_ARG_WITH([gcc], [ --with-gcc=CC use CC as the C compiler],
[CC=$withval])
# If NVCC is detected in the path, set the location of the toolkit relative to
# that, otherwise choose the default
#
if test "$NVCC" != ""; then
case $target in
*mingw* )
# We need a Windows-style path, but mingw doesn't include cygpath,
# thus this hack.
NVCC=`cd $(dirname $NVCC) && pwd -W`/$(basename nvcc)
;;
esac
cuda_prefix="$(dirname "$(dirname "$NVCC")")"
case $target in
*mingw* )
cuda_c2hsflags="--cppopts=-E --cppopts=-arch=sm_20 --cppopts="-D${target_os}_TARGET_OS=1" "
;;
* )
cuda_c2hsflags="--cpp="$NVCC" --cppopts=-E --cppopts=-arch=sm_20 "
;;
esac
else
echo "WARNING: Cannot find the CUDA compiler 'nvcc'. This is likely to cause problems."
cuda_prefix="/usr/local/cuda"
fi
# Location of the toolkit binaries and libraries
#
cuda_inc_path="${cuda_prefix}/include"
CPPFLAGS+=" -I${cuda_inc_path} "
case $target_os in
darwin*)
cuda_lib_path="${cuda_prefix}/lib"
#LDFLAGS+=" -Xlinker -rpath ${cuda_lib_path} "
#CPPFLAGS+=" -arch ${target_cpu} "
;;
mingw*)
case $target_cpu in
x86_64*)
cuda_lib_path="${cuda_prefix}/lib/x64"
;;
*)
cuda_lib_path="${cuda_prefix}/lib/Win32"
;;
esac
;;
*)
case $target_cpu in
x86_64*)
cuda_lib_path="${cuda_prefix}/lib64"
#CPPFLAGS+=" -m64 "
;;
*)
cuda_lib_path="${cuda_prefix}/lib"
#CPPFLAGS+=" -m32 "
;;
esac
;;
esac
LDFLAGS+=" -L${cuda_lib_path} "
# The CUDA headers need to be interpreted relative to the architecture GHC is
# compiled for, which might be different from the architecture of the host
# machine (eg. 32-bit GHC on a 64-bit CPU).
#
AC_MSG_CHECKING(ghc architecture)
target_ghc_arch=`${GHC} -ignore-dot-ghci -e "putStrLn System.Info.arch"`
AC_MSG_RESULT(${target_ghc_arch})
case $target_ghc_arch in
x86_64) cuda_c2hsflags+="--cppopts=-m64 " ;;
i386) cuda_c2hsflags+="--cppopts=-m32 " ;;
*) ;;
esac
# Recent versions of Mac OS X (10.6 and later) provides a C extension for
# creating lambda-like closure expressions (blocks), the syntax for which
# confuses the c2hs preprocessor. We disable this by undefining the __BLOCKS__
# macro.
#
# NB: This test doesn't work with newer versions of Xcode/command lines tools anymore.
# However, other CPP magic keeps blocks at bay.
#
AC_MSG_CHECKING(for Apple Blocks extension)
if test -r "/usr/include/stdlib.h"; then
BLOCKS=`grep __BLOCKS__ /usr/include/stdlib.h`
fi
if test "$BLOCKS" != ""; then
cuda_c2hsflags+="--cppopts=-U__BLOCKS__ "
AC_MSG_RESULT(yes)
else
AC_MSG_RESULT(no)
fi
# Make sure both the driver and runtime are found
#
longerror='
********************************************************************************
The configuration process failed to locate your CUDA installation. Ensure that
you have installed both the developer driver and toolkit, available from:
http://developer.nvidia.com/cuda-downloads
and make sure that "nvcc" is available in your PATH. Check the above output log
and run the command directly to ensure it can be located.
If you have a non-standard installation, you can add additional search paths
using --extra-include-dirs and --extra-lib-dirs. Note that 64-bit Linux flavours
often require both "lib64" and "lib" library paths, in that order.
********************************************************************************'
AC_CHECK_HEADERS([cufft.h], [], [AC_MSG_ERROR(could not find CUFFT headers${longerror})])
case $target in
*mingw32* )
# AC_SEARCH_LIBS doesn't work on Win32 with functions that use the
# stdcall calling convention, so we use AC_CHECK_DELCS instead.
LIBS+="-lcufft"
AC_CHECK_DECLS([cufftPlan1d],
[],
[AC_MSG_ERROR(could not find CUFFT library${longerror})],
[[#include <cufft.h>]])
cuda_ghci_libs+="`nm ${cuda_lib_path}/cufft.lib | head -2 | tail -1 | sed -e 's/://' -e 's/.dll//'` "
;;
*)
AC_SEARCH_LIBS(cufftPlan1d, cufft, [], [AC_MSG_ERROR(could not find CUFFT library${longerror})])
;;
esac
# Populate the buildinfo, with the search paths and any target specific options
#
cuda_ccflags="$CPPFLAGS "
cuda_ldflags="$LDFLAGS "
for x in $cuda_ccflags; do
cuda_ghcflags+="-optc${x} "
done
for x in $cuda_ldflags; do
cuda_ghcflags+="-optl${x} "
done
for x in $LIBS; do
cuda_libraries+="${x#-l} "
done
AC_SUBST([cuda_ghcflags])
AC_SUBST([cuda_ccflags])
AC_SUBST([cuda_ldflags])
AC_SUBST([cuda_c2hsflags])
AC_SUBST([cuda_lib_path])
AC_SUBST([cuda_libraries])
AC_SUBST([cuda_frameworks])
AC_SUBST([cuda_ghci_libs])
AC_OUTPUT