我认为这是一个简单的问题，因为我的nvcc确实有效。但是PLASMA SIMULATION CODE的配置过程无法识别我的CUDA。 configure.ac文件已附加。我是autoconf的新手，所以我不知道如何调试问题。例如，我在.ac文件中看到了AS_IF（测试“$ enable_cuda”=“是”），但我不知道如何查看测试结果。谁能帮我这个？谢谢！
抱歉，我太新了，无法附上配置摘要屏幕截图，我会输入那些关键部分。
C Compiler: mpicc -std=gnu99
CFLAGS: -g -02 -Wall
Fortran Compiler: mpif90
FFLAGS: -g -02
CUDA Compiler:
CUDACFLAGS:
CUDALIBS:
LDFLAGS:
以下是configure.ac代码。
# -*- Autoconf -*-
# Process this file with autoconf to produce a configure script.
AC_PREREQ(2.59)
AC_INIT([psc], [1.94])
AM_INIT_AUTOMAKE([foreign subdir-objects])
m4_ifdef([AM_SILENT_RULES], [AM_SILENT_RULES([yes])])
AC_CONFIG_HEADERS([config.h])
AC_CONFIG_MACRO_DIR([m4])
dnl Source any special site-specific file
hname="`hostname`"
while test -n "$hname"; do
file=$srcdir/src/libmrc/config/host-$hname
AC_MSG_CHECKING([for config $file])
if test -f "$file"; then
. $file
AC_MSG_RESULT([found])
break
fi
AC_MSG_RESULT([no])
hname2="`echo $hname | tr -d '0-9'`"
file=$srcdir/src/libmrc/config/host-$hname2
AC_MSG_CHECKING([for config $file])
if test -f "$file"; then
. $file
AC_MSG_RESULT([found])
break
fi
AC_MSG_RESULT([no])
hname_tmp=$hname
hname="`echo $hname | cut -d. -f2-99`"
test "$hname_tmp" = "$hname" && break
done
# Check for (MPI) compilers
AC_PROG_CC([openmpicc mpicc])
m4_ifdef([AC_PROG_CC_C99],
[AC_PROG_CC_C99],
[AC_MSG_WARN([Assuming $CC is gcc!])
CC="$CC -std=gnu99"])
if test -z "$CC" || test "X$CC" = "Xno"; then
AC_MSG_ERROR([No suitable C99 compiler found])
fi
AM_PROG_CC_C_O
AC_PROG_CXX([openmpicxx mpicxx])
# add -Wall if possible
AX_CHECK_COMPILER_FLAGS([-Wall], [CFLAGS="$CFLAGS -Wall"])
AC_PROG_F77([openmpif90 mpif90])
AC_F77_WRAPPERS
AC_F77_LIBRARY_LDFLAGS
LIBS="$LIBS $FLIBS"
# Check for libtool
dnl LT_INIT([disable-shared])
AC_DISABLE_SHARED
AC_PROG_LIBTOOL
# Checks for header files.
# Checks for typedefs, structures, and compiler characteristics.
# Checks for library functions.
AX_CHECK_HDF5
CFLAGS="$H5_CFLAGS $CFLAGS"
LIBS="$H5_LIBS $LIBS"
AS_IF([test "$have_hdf5" != "no"],
[AC_DEFINE([HAVE_HDF5], [], [we have HDF5 library + headers])])
AM_CONDITIONAL([HAVE_HDF5], [test "$have_hdf5" != "no"])
# check for PAPI
AC_ARG_WITH([papi],AS_HELP_STRING([--without-papi], [Disable PAPI]))
have_papi=no
AS_IF([test "x$with_papi" != "xno"],
[AC_CHECK_HEADER([papi.h],
[AC_CHECK_LIB([papi], [PAPI_library_init],
[have_papi=yes
AC_DEFINE([HAVE_LIBPAPI], [], [we have PAPI library + headers])
LIBS="-lpapi $LIBS"])
])
])
AS_IF([test "x$have_papi" != "xyes"],
[AS_IF([test "x$with_papi" = "xyes"],
[AC_MSG_ERROR([PAPI requested but not found.])])
])
# Checks for options
AC_ARG_VAR([CUDACC], [CUDA compiler])
AC_ARG_VAR([CUDACFLAGS], [flags to pass to the CUDA compiler])
AC_ARG_VAR([CUDALIBS], [libraries needed to link CUDA code])
AH_TEMPLATE([USE_CUDA], [use nvcc to create CUDA code])
AC_ARG_ENABLE(
[cuda],
[AS_HELP_STRING([--enable-cuda], [use nvcc to create CUDA code])],
[AS_IF([test "$enable_cuda" = "yes"],
[AC_DEFINE([USE_CUDA])
AS_IF([test -z "$CUDACC"],
[CUDACC=/usr/local/cuda/bin/nvcc])
AS_IF([test -z "$CUDALIBS"],
[CUDALIBS="-L/usr/local/cuda/lib -lcudart"])
AC_SUBST([CUDACC])
CUDACFLAGS="$CUDACFLAGS -m64"
AC_SUBST([CUDACFLAGS])
CUDAMPIFLAGS=""
for dir in `$CC -showme:incdirs`; do
CUDAMPIFLAGS="$CUDAMPIFLAGS -I$dir"
done
AC_SUBST([CUDAMPIFLAGS])
LIBS="$LIBS $CUDALIBS"])
]
)
AM_CONDITIONAL([USE_CUDA], [test "$enable_cuda" = "yes"])
AH_TEMPLATE([USE_SSE2], [use streaming SIMD extension 2])
AC_ARG_ENABLE(
[sse2],
[AS_HELP_STRING([--enable-sse2],
[use code optimized for processors using Intel's SSE2])],
)
AS_IF(
[test "$enable_sse2" = "yes"],
[AC_DEFINE([USE_SSE2])
CFLAGS="$CFLAGS -msse4.1"])
AM_CONDITIONAL([USE_SSE2], [test "$enable_sse2" = "yes"])
AH_TEMPLATE([CELLEMU], [emulate Cell BE for testing])
AC_ARG_ENABLE(
[cellemu],
[AS_HELP_STRING([--enable-cellemu], [pretend we have a Cell Broadband Engine])],
[AC_DEFINE([CELLEMU])]
)
AM_CONDITIONAL([CELLEMU], [test "$enable_cellemu" = "yes"])
AC_CHECK_LIB([spe2], [spe_context_create])
AH_TEMPLATE([USE_CBE], [use spu-cc to create Cell BE code])
AC_ARG_ENABLE(
[cbe],
[AS_HELP_STRING([--enable-cbe], [use code optimized for the Cell Broadband Engine])],
)
AS_IF(
[test "$enable_cbe" = "yes"],
[AC_DEFINE([USE_CBE])]
)
AM_CONDITIONAL([USE_CBE], [test "$enable_cbe" = "yes"])
AH_TEMPLATE([FIELDS_BASE], [base data structure for storing fields])
AC_ARG_VAR([FIELDS_BASE], [base data structure for storing fields])
AS_IF(
[test -z "$FIELDS_BASE"],
[FIELDS_BASE="FIELDS_C"]
)
AC_DEFINE_UNQUOTED([FIELDS_BASE], $FIELDS_BASE)
AH_TEMPLATE([PARTICLES_BASE], [base data structure for storing particles])
AC_ARG_VAR([PARTICLES_BASE], [base data structure for storing particles])
AS_IF(
[test -z "$PARTICLES_BASE"],
[PARTICLES_BASE="PARTICLES_C"]
)
AC_DEFINE_UNQUOTED([PARTICLES_BASE], $PARTICLES_BASE)
AC_ARG_VAR([MPIRUN], [mpirun command to run tests])
AS_IF(
[test -z "$MPIRUN"],
[AS_IF([test "`echo $CC | cut -f1 -d ' '`" = "openmpicc"],
[MPIRUN="openmpirun"],
[MPIRUN="mpirun"])]
)
AC_SUBST([MPIRUN])
AC_CONFIG_FILES([Makefile python/Makefile src/Makefile
src/tests/Makefile
src/include/Makefile
src/libpsc/Makefile
src/libpsc/psc_balance/Makefile
src/libpsc/psc_bnd/Makefile
src/libpsc/psc_bnd_particles/Makefile
src/libpsc/psc_bnd_photons/Makefile
src/libpsc/psc_bnd_fields/Makefile
src/libpsc/psc_collision/Makefile
src/libpsc/psc_event_generator/Makefile
src/libpsc/psc_output_fields_collection/Makefile
src/libpsc/psc_output_fields/Makefile
src/libpsc/psc_output_particles/Makefile
src/libpsc/psc_output_photons/Makefile
src/libpsc/psc_diag/Makefile
src/libpsc/psc_patchmanager/Makefile
src/libpsc/psc_pulse/Makefile
src/libpsc/psc_push_fields/Makefile
src/libpsc/psc_push_particles/Makefile
src/libpsc/psc_push_photons/Makefile
src/libpsc/psc_randomize/Makefile
src/libpsc/psc_sort/Makefile
src/libpsc/fortran/Makefile
src/libpsc/sse2/Makefile
src/libpsc/cuda/Makefile
src/libpsc/cell_be/Makefile
])
AC_CONFIG_SUBDIRS([src/libmrc])
AC_OUTPUT
echo ""
echo " Configure Summary"
echo " ================="
echo ""
echo "Compiling Options:"
echo "------------------"
echo " C Compiler: $CC"
echo " CFLAGS: $CFLAGS"
echo " Fortran Compiler: $F77"
echo " FFLAGS: $FFLAGS"
echo " CUDA Compiler: $CUDACC"
echo " CUDACFLAGS: $CUDACFLAGS"
echo " CUDALIBS: $CUDALIBS"
echo " LDFLAGS: $LDFLAGS"
echo " LIBS: $LIBS"
echo " Shared Libraries: $enable_shared"
echo " Static Libraries: $enable_static"
echo " MPIRUN: $MPIRUN"
echo
答案 0 :(得分：0)
一般来说，./configure --help通常会为autoconf生成的配置脚本提供有用的信息。
在这种情况下，.ac文件中的以下行表明--enable-cuda是正确的开关：
[AS_HELP_STRING([--enable-cuda], [use nvcc to create CUDA code])],