Makefile：将C代码转换为mex代码（链接错误）

时间：2015-02-12 18:15:12

标签： c matlab makefile mex

我有一个C-code which works fine使用makefile。现在，我正在尝试convert it to mex文件，以便我可以从Matlab运行它。我也是using makefile approach。但是，mex的makefile给了我错误。

这是我想要与我的mex文件一起编译的tsnnls lib。

C-project的组织：

tsnnls_test_DKU.c
Include_4_TSNNLS.c
Include_4_TSNNLS.h

＆＃34; Include_4_TSNNLS.*＆＃34;文件具有调用第三部分库的函数TestingLibraries();我试图保持＆＃34; tsnnls_test_DKU.c＆＃34;非常简单：

原始代码：tsnnls_test_DKU.c 

int TestingLibraries() ;

int main( int argc, char* argv[] ) 
{

    int k = TestingLibraries() ;
    return(1);
}

现在，代码已更改：

更改了代码：t​​snnls_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() ;

}

原始制作文件（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) $^

更改了未运行的Makefile 注意，我已经用gcc编译器将链接部分恢复为原始部分;但是，我想在这里使用mex。

我根据自己的理解改变了一些行，并使用了标签＆＃34; #mex＆＃34;。

此外，正在成功创建Include_4_TSNNLS.o。此外，以前的问题＆＃34;包括＆＃34;已经通过硬连接所有路径来解决。

  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

有人可以帮我链接选项吗？

2 个答案:

答案 0 :(得分：4)

问题是$（OBJS_tsnnls0）（或者至少是libtsnnls_la-taucs_ccs_order.o）中列出的所有目标文件都是在没有-fPIC gcc编译器选项的情况下编译的。 gcc手册页说的是-fPIC

  

生成适合在a中使用的与位置无关的代码（PIC）   共享库

请注意，MEX文件是共享库。因此，所有目标代码都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链接到MEX文件（或任何共享库）。如果您有原始源文件，则应该能够通过运行

使用正确的开关重新编译它们

$（MEX）-c -o filename .o filename .c

为每个源文件。

答案 1 :(得分：2)

您对tsnnls_test_DKU.o具有循环依赖性，因为OBJS_tsnnlsAll扩展为包含OBJS_tsnnls1，在Makefile的第一行中定义为tsnnls_test_DKU.o。

此外，您没有构建OBJS_tsnnlsAll的规则。您只是将所有目标文件的名称传递给编译器，由于-c标志而忽略它们。

您应该从$(OBJS_tsnnlsALL)规则中删除tsnnls_test_DKU.o，并从最终目标中移除tsnnls_test_DKU.o，以便最后两条规则如下所示：

# CHANGED FROM HERE     # mex
tsnnls_test_DKU.o: tsnnls_test_DKU.c  Include_4_TSNNLS.c $(OBJS_ADD)
    $(CXX) $(CFLAGS) $(INCLUDE)  -c $^

# Final linking
$(TARGET): $(OBJS_tsnnlsALL)  $(OBJS_ADD)   $(LIBS) 
    $(MEX) $(MEXFLAGS)  -output $(TARGET_WO_EXTN) $^      -largeArrayDims
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