我有一个c代码,可以使用makefile编译并运行。现在,我想把它转换成mex文件,我想用相应的makefile编译它。但是,我的mex代码的makefile不起作用。如果有人能指导我,我将不胜感激。
我正在使用64位系统。
C码和mex码的结构:
C-codes Mex Code
Test_tsnnls.c <--Main defined Test_tsnnls_MEX.c <--mex defined here
Include_4_TSNNLS.h Include_4_TSNNLS.h
Include_4_TSNNLS.c Include_4_TSNNLS.c
Makefile(C项目)作品:
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 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_tsnnls = $(addprefix $(tsnnl_PATH), $(OBJS_tsnnls0))
# Libraries for tsnnls
STLIB_tsnnls = /usr/local/lib/taucs_full/lib/linux/libtaucs.a
LIBS_tsnnls = -largtable2 -llapack -lblas -lquadmath -lm
########################################################################
TARGET_WO_EXTN = Test_tsnnls
TARGET = $(TARGET_WO_EXTN)
LIBS = $(LIBS_tsnnls) $(STLIB_tsnnls)
INCLUDE = $(INCLUDE_TSNNLS)
REBUILDABLES = *.o $(TARGET)
all : $(TARGET)
echo All done
clean :
rm -f $(REBUILDABLES)
echo Clean done
Include_4_TSNNLS.o: Include_4_TSNNLS.c
$(CXX) -c -o Include_4_TSNNLS.o Include_4_TSNNLS.c
$(TARGET_WO_EXTN).o: $(TARGET_WO_EXTN).c
$(CXX) -c -o $(TARGET_WO_EXTN).o $(TARGET_WO_EXTN).c
# Final linking
$(TARGET) : $(OBJS_tsnnls) $(TARGET_WO_EXTN).o Include_4_TSNNLS.o $(LIBS)
$(CXX) -g -o $@ $(INCLUDE) $(CFLAGS) $^
Makefile(mex项目)不起作用:
MEXSUFFIX = mexa64
MATLABHOME = /usr/local/MATLAB/R2014b
MEX = mex
CXX = gcc
CFLAGS = -fPIC -pthread -DMX_COMPAT_32
-DMATLAB_MEX_FILE
INCLUDE_Matlab = -I$(MATLABHOME)/extern/include
MEXFLAGS = -cxx CC='$(CXX)' CXX='$(CXX)' LD='$(CXX)'
INCLUDE_TSNNLS = -I/home/dkumar/libtsnnls-2.3.3 -I/home/dkumar/libtsnnls-2.3.3/tsnnls -I/home/dkumar/libtsnnls-2.3.3/tsnnls/taucs_basic
#################### ALL TSNNLS lib related ##########################
## this is where all object file (*.o) generated by tsnnls library makefile are located.
tsnnl_PATH = /home/dkumar/libtsnnls-2.3.3/tsnnls/
# Here is a Make Macro that uses the backslash to extend to multiple lines.
OBJS_tsnnls0 = libtsnnls_la-taucs_malloc.o libtsnnls_la-taucs_ccs_order.o
libtsnnls_la-taucs_ccs_ops.o libtsnnls_la-taucs_vec_base.o
libtsnnls_la-taucs_complex.o libtsnnls_la-colamd.o
libtsnnls_la-amdbar.o libtsnnls_la-amdexa.o
libtsnnls_la-amdtru.o libtsnnls_la-genmmd.o
libtsnnls_la-taucs_timer.o libtsnnls_la-taucs_sn_llt.o
libtsnnls_la-taucs_ccs_base.o libtsnnls_la-tlsqr.o
libtsnnls_la-tsnnls.o libtsnnls_la-lsqr.o
## adding "$(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_tsnnls = $(addprefix $(tsnnl_PATH), $(OBJS_tsnnls0))
# Libraries for tsnnls
STLIB_tsnnls = /usr/local/lib/taucs_full/lib/linux/libtaucs.a
LIBS_tsnnls = -largtable2 -llapack -lblas -lquadmath -lm
########################################################################
TARGET_WO_EXTN = Test_tsnnls_Mex
TARGET = $(TARGET_WO_EXTN).$(MEXSUFFIX)
LIBS = $(LIBS_tsnnls) $(STLIB_tsnnls)
INCLUDE = $(INCLUDE_Matlab) $(INCLUDE_TSNNLS)
REBUILDABLES = *.o $(TARGET)
all : $(TARGET)
echo All done
clean :
rm -f $(REBUILDABLES)
echo Clean done
Include_4_TSNNLS.o: Include_4_TSNNLS.c
$(CXX) $(CFLAGS) $(INCLUDE) -c $^
## $(CXX) -c -o Include_4_TSNNLS.o Include_4_TSNNLS.c
$(TARGET_WO_EXTN).o: $(TARGET_WO_EXTN).c
$(CXX) $(CFLAGS) $(INCLUDE) -c $^
# Final linking
$(TARGET): $(OBJS_tsnnls) $(TARGET_WO_EXTN).o Include_4_TSNNLS.o $(LIBS)
$(MEX) $(MEXFLAGS) $(LIBS) -output $(TARGET_WO_EXTN) $^
我得到的错误
dkumar@dkumar-Precision-WorkStation-T7500 ~/Mex_Codes_DKU/Using_tsnnls_DKU_copy_MEX/Pure_Mex $ make
cc -fPIC -pthread -DMX_COMPAT_32 -DMATLAB_MEX_FILE -c -o Test_tsnnls_Mex.o Test_tsnnls_Mex.c
gcc -c -o Include_4_TSNNLS.o Include_4_TSNNLS.c
In file included from Include_4_TSNNLS.c:1:0:
Include_4_TSNNLS.h:72:15: warning: useless storage class specifier in empty declaration [enabled by default]
extern enum STYPE;
^
mex -cxx CC='gcc' CXX='gcc' LD='gcc' -largtable2 -llapack -lblas -lquadmath -lm /usr/local/lib/taucs_full/lib/linux/libtaucs.a -output Test_tsnnls_Mex /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 Test_tsnnls_Mex.o Include_4_TSNNLS.o /usr/local/lib/libargtable2.so /usr/lib/liblapack.so /usr/lib/libblas.so /usr/lib/libquadmath.so /usr/lib/x86_64-linux-gnu/libm.so /usr/local/lib/taucs_full/lib/linux/libtaucs.a
Building with 'g++'.
Warning: You are using gcc version '4.8.2'. The version of gcc is not supported. The version currently supported with MEX is '4.7.x'. For a list of currently supported compilers see: http://www.mathworks.com/support/compilers/current_release.
Warning: You are using gcc version '4.8.2-19ubuntu1)'. The version of gcc is not supported. The version currently supported with MEX is '4.7.x'. 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
make: *** [Test_tsnnls_Mex.mexa64] Error 255
我想我已经在用-fPIC编译了。我的理解是$(OBJS_tsnnls)
可能没有正确地包含在我的mex项目中。
或者,问题可能是32位与64位平台Stackoveflow链接。我不知道怎么解决这个问题。
任何帮助都将不胜感激。
再次查看错误消息-调用mex
:的部分
mex -cxx CC='gcc' CXX='gcc' LD='gcc' -largtable2 -llapack -lblas -lquadmath -lm
虽然您已经修改了CFLAGS
Makefile变量以包含-fPIC
,但您没有确保它被传递给mex
(Makefile中最底层的命令)。您可以修改MEXFLAGS
。这应该涵盖所有基地:
MEXFLAGS = -v -cxx CC='$(CXX)' CXX='$(CXX)' CFLAGS='$(CFLAGS)' CXXFLAGS='$(CFLAGS)' LD='$(CXX)'
您不需要CC
和CXX
(可能只需要CXX
,因为它是作为C++编译的)。此外,添加-v
标志以查看失败的g++命令是什么。
有趣的是,使用mex
只是链接对象文件,而不是同时进行编译。如果我理解这里的目标,那就是链接编译为C的对象文件,方法是指示mex
编译为C++,但设置CXX=gcc
,迫使它使用C前端。我想应该行得通,但似乎有些扭曲。