我有一个使用 makefile 的 C 代码可以正常工作。现在，我正在尝试将其转换为 mex 文件，以便我可以从 Matlab 运行它。在这里，我也 使用 makefile 方法。但是，mex 的 makefile 给我错误。
这是 tsnnls lib我想与我的 mex 文件一起编译。
C 项目的组织:
tsnnls_test_DKU.c
Include_4_TSNNLS.c
Include_4_TSNNLS.h
“Include_4_TSNNLS.*”文件具有调用第 3 部分库的函数 TestingLibraries()；虽然我试图让“tsnnls_test_DKU.c”非常简单，因为:
原代码:tsnnls_test_DKU.c
int TestingLibraries() ;
int main( int argc, char* argv[] )
{
int k = TestingLibraries() ;
return(1);
}
现在，代码已更改:
更改代码:tsnnls_test_DKU.c:
#include "mex.h"
#include <math.h>
int TestingLibraries() ;
void mexFunction (int nlhs, mxArray *plhs[], int nrhs, const mxArray *prhs[]) {
int k = TestingLibraries() ;
}
原始 make 文件(有效
CXX = gcc
FLAGS =
CFLAGS = "-m64" ## "-m32"
INCLUDE_TSNNLS = -I/home/dkumar/libtsnnls-2.3.3 -I/home/dkumar/libtsnnls-2.3.3/tsnnls -I/home/dkumar/libtsnnls-2.3.3/tsnnls/taucs_basic
#################### ALL TSNNLS lib related ##########################
## this is where all object file (*.o) generated by tsnnls library makefile are located.
tsnnl_PATH = /home/dkumar/libtsnnls-2.3.3/tsnnls/
# Here is a simple Make Macro.
OBJS_tsnnls1 = tsnnls_test_DKU.o
OBJS_ADD = Include_4_TSNNLS.o
# Here is a Make Macro that uses the backslash to extend to multiple lines.
OBJS_tsnnls0 = libtsnnls_la-taucs_malloc.o libtsnnls_la-taucs_ccs_order.o \
libtsnnls_la-taucs_ccs_ops.o libtsnnls_la-taucs_vec_base.o \
libtsnnls_la-taucs_complex.o libtsnnls_la-colamd.o \
libtsnnls_la-amdbar.o libtsnnls_la-amdexa.o \
libtsnnls_la-amdtru.o libtsnnls_la-genmmd.o \
libtsnnls_la-taucs_timer.o libtsnnls_la-taucs_sn_llt.o \
libtsnnls_la-taucs_ccs_base.o libtsnnls_la-tlsqr.o \
libtsnnls_la-tsnnls.o libtsnnls_la-lsqr.o
## adding "$(OBJS_PATH)" to each word in "$(OBJS)"
# which in our case is basically to add the same folder in front of all "*.o" object files.
OBJS_TEMP = $(addprefix $(tsnnl_PATH), $(OBJS_tsnnls0))
# OBJS_LOC is in current working directory,
OBJS_tsnnlsALL = $(OBJS_TEMP) $(OBJS_tsnnls1)
# Libraries for tsnnls
STLIB_tsnnls = /usr/local/lib/taucs_full/lib/linux/libtaucs.a
LIBS_tsnnls = -largtable2 -llapack -lblas -lquadmath -lm
########################################################################
TARGET = tsnnls_test_DKU
REBUILDABLES = $(OBJS_tsnnls1) $(TARGET)
LIBS = $(LIBS_tsnnls) $(STLIB_tsnnls)
INCLUDE = $(INCLUDE_TSNNLS)
all : $(TARGET)
echo All done
clean :
rm -f $(REBUILDABLES)
echo Clean done
$(OBJS_ADD): Include_4_TSNNLS.c
gcc -c -o Include_4_TSNNLS.o Include_4_TSNNLS.c
# Final linking
$(TARGET) : $(OBJS_tsnnlsALL) $(OBJS_ADD) $(LIBS)
$(CXX) -g -o $@ $(INCLUDE) $(CFLAGS) $^
更改后的 Makefile 不运行 请注意，我已使用 gcc 编译器将链接部分还原为原始链接；但是，我想在这里使用 mex。
我根据自己的理解更改了一些行并使用了标签“# mex”。
此外，Include_4_TSNNLS.o 正在成功创建。此外，“include”之前的问题已通过硬连接所有路径得到解决。
MEXSUFFIX = mexa64 # mex
MATLABHOME = /usr/local/MATLAB/R2011b # mex
MEX = /usr/local/MATLAB/R2011b/bin/mex # mex
MEXFLAGS = -cxx CC='$(CXX)' CXX='$(CXX)' LD='$(CXX)' # mex
CXX = gcc
FLAGS =
CFLAGS = -fPIC -pthread -DMX_COMPAT_32 -DMATLAB_MEX_FILE -m64 ## "-m32"
INCLUDE_TSNNLS = -I/usr/local/MATLAB/R2011b/extern/include -I/home/dkumar/libtsnnls-2.3.3 -I/home/dkumar/libtsnnls-2.3.3/tsnnls -I/home/dkumar/libtsnnls-2.3.3/tsnnls/taucs_basic
#################### ALL TSNNLS lib related ##########################
## this is where all object file (*.o) generated by tsnnls library makefile are located.
tsnnl_PATH = /home/dkumar/libtsnnls-2.3.3/tsnnls/
# Here is a simple Make Macro.
OBJS_tsnnls1 = tsnnls_test_DKU.o
OBJS_ADD = Include_4_TSNNLS.o
# Here is a Make Macro that uses the backslash to extend to multiple lines.
OBJS_tsnnls0 = libtsnnls_la-taucs_malloc.o libtsnnls_la-taucs_ccs_order.o \
libtsnnls_la-taucs_ccs_ops.o libtsnnls_la-taucs_vec_base.o \
libtsnnls_la-taucs_complex.o libtsnnls_la-colamd.o \
libtsnnls_la-amdbar.o libtsnnls_la-amdexa.o \
libtsnnls_la-amdtru.o libtsnnls_la-genmmd.o \
libtsnnls_la-taucs_timer.o libtsnnls_la-taucs_sn_llt.o \
libtsnnls_la-taucs_ccs_base.o libtsnnls_la-tlsqr.o \
libtsnnls_la-tsnnls.o libtsnnls_la-lsqr.o
## adding "$(OBJS_PATH)" to each word in "$(OBJS)"
# which in our case is basically to add the same folder in front of all "*.o" object files.
OBJS_TEMP = $(addprefix $(tsnnl_PATH), $(OBJS_tsnnls0))
# OBJS_LOC is in current working directory,
OBJS_tsnnlsALL = $(OBJS_TEMP) $(OBJS_tsnnls1)
# Libraries for tsnnls
##STLIB_tsnnls = /usr/local/lib/taucs_full/lib/linux/libtaucs.a
STLIB_tsnnls = /usr/local/lib/libtaucs.a
#LIBS_tsnnls = -largtable2 -llapack -lblas -lquadmath -lm
LIBS_tsnnls = -largtable2 -llapack -lblas -lm
########################################################################
## TARGET = tsnnls_test_DKU
TARGET_WO_EXTN = tsnnls_test_DKU # mex
TARGET = TARGET_WO_EXTN
#TARGET = $(TARGET_WO_EXTN).$(MEXSUFFIX) # mex
REBUILDABLES = $(OBJS_tsnnls1) $(TARGET) *.mexa64
LIBS = $(LIBS_tsnnls) $(STLIB_tsnnls)
INCLUDE = $(INCLUDE_TSNNLS)
all : $(TARGET)
echo All done
clean :
rm -f $(REBUILDABLES)
echo Clean done
$(OBJS_ADD): Include_4_TSNNLS.c
gcc -c -o $(INCLUDE) Include_4_TSNNLS.o Include_4_TSNNLS.c
# CHANGED FROM HERE # mex
tsnnls_test_DKU.o: tsnnls_test_DKU.c Include_4_TSNNLS.c $(OBJS_tsnnlsALL) $(OBJS_ADD)
$(CXX) $(CFLAGS) $(INCLUDE) -c $^
# Final linking
$(TARGET): tsnnls_test_DKU.o $(OBJS_tsnnlsALL) $(OBJS_ADD) $(LIBS)
$(MEX) $(MEXFLAGS) -output $(TARGET_WO_EXTN) $^ -largeArrayDims
我收到以下链接错误:
dkumar@kumar-Aspire-E1-510 ~/CPP_ExampleCodes_DKU/Using_tsnnls_DKU_copy_2_MEX $ make
make: Circular tsnnls_test_DKU.o <- tsnnls_test_DKU.o dependency dropped.
gcc -fPIC -pthread -DMX_COMPAT_32 -DMATLAB_MEX_FILE -I/usr/local/MATLAB/R2011b/extern/include -I/home/dkumar/libtsnnls-2.3.3 -I/home/dkumar/libtsnnls-2.3.3/tsnnls -I/home/dkumar/libtsnnls-2.3.3/tsnnls/taucs_basic -c tsnnls_test_DKU.c Include_4_TSNNLS.c /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-taucs_malloc.o /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-taucs_ccs_order.o /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-taucs_ccs_ops.o /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-taucs_vec_base.o /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-taucs_complex.o /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-colamd.o /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-amdbar.o /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-amdexa.o /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-amdtru.o /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-genmmd.o /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-taucs_timer.o /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-taucs_sn_llt.o /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-taucs_ccs_base.o /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-tlsqr.o /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-tsnnls.o /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-lsqr.o Include_4_TSNNLS.o
gcc: warning: /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-taucs_malloc.o: linker input file unused because linking not done
gcc: warning: /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-taucs_ccs_order.o: linker input file unused because linking not done
gcc: warning: /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-taucs_ccs_ops.o: linker input file unused because linking not done
gcc: warning: /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-taucs_vec_base.o: linker input file unused because linking not done
gcc: warning: /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-taucs_complex.o: linker input file unused because linking not done
gcc: warning: /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-colamd.o: linker input file unused because linking not done
gcc: warning: /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-amdbar.o: linker input file unused because linking not done
gcc: warning: /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-amdexa.o: linker input file unused because linking not done
gcc: warning: /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-amdtru.o: linker input file unused because linking not done
gcc: warning: /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-genmmd.o: linker input file unused because linking not done
gcc: warning: /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-taucs_timer.o: linker input file unused because linking not done
gcc: warning: /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-taucs_sn_llt.o: linker input file unused because linking not done
gcc: warning: /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-taucs_ccs_base.o: linker input file unused because linking not done
gcc: warning: /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-tlsqr.o: linker input file unused because linking not done
gcc: warning: /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-tsnnls.o: linker input file unused because linking not done
gcc: warning: /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-lsqr.o: linker input file unused because linking not done
gcc: warning: Include_4_TSNNLS.o: linker input file unused because linking not done
/usr/local/MATLAB/R2011b/bin/mex -cxx CC='gcc' CXX='gcc' LD='gcc' -output tsnnls_test_DKU tsnnls_test_DKU.o /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-taucs_malloc.o /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-taucs_ccs_order.o /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-taucs_ccs_ops.o /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-taucs_vec_base.o /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-taucs_complex.o /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-colamd.o /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-amdbar.o /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-amdexa.o /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-amdtru.o /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-genmmd.o /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-taucs_timer.o /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-taucs_sn_llt.o /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-taucs_ccs_base.o /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-tlsqr.o /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-tsnnls.o /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-lsqr.o Include_4_TSNNLS.o /usr/lib/libargtable2.so /usr/lib/liblapack.so /usr/lib/libblas.so /usr/lib/x86_64-linux-gnu/libm.so /usr/local/lib/libtaucs.a -largeArrayDims
Warning: You are using gcc version "4.8.2-19ubuntu1)". The version
currently supported with MEX is "4.3.4".
For a list of currently supported compilers see:
http://www.mathworks.com/support/compilers/current_release/
/usr/bin/ld: /home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-taucs_ccs_order.o: relocation R_X86_64_32 against `.rodata' can not be used when making a shared object; recompile with -fPIC
/home/dkumar/libtsnnls-2.3.3/tsnnls/libtsnnls_la-taucs_ccs_order.o: error adding symbols: Bad value
collect2: error: ld returned 1 exit status
mex: link of ' "tsnnls_test_DKU.mexa64"' failed.
make: *** [tsnnls_test_DKU] Error 1
有人可以帮我解决链接选项吗？
最佳答案
问题是 $(OBJS_tsnnls0) 中列出的所有目标文件(或者至少是 libtsnnls_la-taucs_ccs_order.o)都是在没有 -fPIC gcc 编译器选项的情况下编译的。 gcc 手册页说 -fPIC
Generate position-independent code ( PIC ) suitable for use in a shared library
请注意，MEX 文件是共享库。因此，所有目标代码都可以完美地链接到一个独立的可执行文件(不需要 PIC)，但它只是没有编译正确地链接到 MEX 文件(或任何共享库)。如果您有原始源文件，您应该能够通过运行
使用正确的开关重新编译它们$(MEX) -c -o 文件名.o 文件名.c
对于每个源文件。
关于c - Makefile:将 C 代码转换为 mex 代码(链接错误)，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/28484824/