Will Robertson
make pycaffe
LD -o .build_release/lib/libcaffe.so.1.0.0
clang: warning: argument unused during compilation: '-pthread' [-Wunused-command-line-argument]
Undefined symbols for architecture x86_64:
"cv::imread(cv::String const&, int)", referenced from:
caffe::WindowDataLayer<float>::load_batch(caffe::Batch<float>*) in window_data_layer.o
caffe::WindowDataLayer<double>::load_batch(caffe::Batch<double>*) in window_data_layer.o
caffe::ReadImageToCVMat(std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> > const&, int, int, bool) in io.o
"cv::imdecode(cv::_InputArray const&, int)", referenced from:
caffe::DecodeDatumToCVMatNative(caffe::Datum const&) in io.o
caffe::DecodeDatumToCVMat(caffe::Datum const&, bool) in io.o
"cv::imencode(cv::String const&, cv::_InputArray const&, std::__1::vector<unsigned char, std::__1::allocator<unsigned char> >&, std::__1::vector<int, std::__1::allocator<int> > const&)", referenced from:
caffe::ReadImageToDatum(std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> > const&, int, int, int, bool, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> > const&, caffe::Datum*) in io.o
ld: symbol(s) not found for architecture x86_64
clang: error: linker command failed with exit code 1 (use -v to see invocation)
make: *** [.build_release/lib/libcaffe.so.1.0.0] Error 1
/Library/Developer/CommandLineTools/usr/include/c++/v1/__locale:478:15: error: C++ requires a type specifier for all declarations
char_type toupper(char_type __c) const
...
/Library/Developer/CommandLineTools/usr/include/c++/v1/__locale:484:48: error: too many arguments provided to function-like macro invocation
const char_type* toupper(char_type* __low, const char_type* __high) const
...
/Library/Developer/CommandLineTools/usr/include/c++/v1/__locale:484:29: error: expected ';' at end of declaration list
const char_type* toupper(char_type* __low, const char_type* __high) const
^
/Library/Developer/CommandLineTools/usr/include/c++/v1/__locale:496:48: error: too many arguments provided to function-like macro invocation
const char_type* tolower(char_type* __low, const char_type* __high) const
...
/Library/Developer/CommandLineTools/usr/include/c++/v1/__locale:480:27: error: use of undeclared identifier '__c'
return do_toupper(__c);
^
/Library/Developer/CommandLineTools/usr/include/c++/v1/__locale:587:15: error: C++ requires a type specifier for all declarations
char_type toupper(char_type __c) const
...
/Library/Developer/CommandLineTools/usr/include/c++/v1/__locale:593:48: error: too many arguments provided to function-like macro invocation
const char_type* toupper(char_type* __low, const char_type* __high) const
...
/Library/Developer/CommandLineTools/usr/include/c++/v1/__locale:717:5: error: expected expression
return use_facet<ctype<_CharT> >(__loc).is(ctype_base::space, __c);
^
/Library/Developer/CommandLineTools/usr/include/c++/v1/__locale:718:2: error: expected ';' at end of declaration
}
^
/Library/Developer/CommandLineTools/usr/include/c++/v1/__locale:739:21: error: too many arguments provided to function-like macro invocation
isupper(_CharT __c, const locale& __loc)
...
/Library/Developer/CommandLineTools/usr/include/c++/v1/__locale:739:1: error: declaration conflicts with target of using declaration already in scope
...
/Library/Developer/CommandLineTools/usr/include/c++/v1/__locale:741:5: error: expected expression
return use_facet<ctype<_CharT> >(__loc).is(ctype_base::upper, __c);
^
/Library/Developer/CommandLineTools/usr/include/c++/v1/__locale:742:2: error: expected ';' at end of declaration
}
^
/Library/Developer/CommandLineTools/usr/include/c++/v1/__locale:747:21: error: too many arguments provided to function-like macro invocation
islower(_CharT __c, const locale& __loc)
^
/usr/include/python2.7/pyport.h:723:9: note: macro 'islower' defined here
#define islower(c) iswlower(btowc(c))
^
fatal error: too many errors emitted, stopping now [-ferror-limit=]
20 errors generated.
make[3]: *** [python/CMakeFiles/pycaffe.dir/caffe/_caffe.cpp.o] Error 1
make[2]: *** [python/CMakeFiles/pycaffe.dir/all] Error 2
make[1]: *** [python/CMakeFiles/pycaffe.dir/rule] Error 2
make: *** [pycaffe] Error 2
Will Robertson
Vinodhkumar S
Real_yangyang
在此输入## Refer to http://caffe.berkeleyvision.org/installation.html# Contributions simplifying and improving our build system are welcome!
# cuDNN acceleration switch (uncomment to build with cuDNN).# USE_CUDNN := 1
# CPU-only switch (uncomment to build without GPU support).CPU_ONLY := 1
# uncomment to disable IO dependencies and corresponding data layers# USE_OPENCV := 0# USE_LEVELDB := 0# USE_LMDB := 0
# uncomment to allow MDB_NOLOCK when reading LMDB files (only if necessary)# You should not set this flag if you will be reading LMDBs with any# possibility of simultaneous read and write# ALLOW_LMDB_NOLOCK := 1
# Uncomment if you're using OpenCV 3OPENCV_VERSION := 3
# To customize your choice of compiler, uncomment and set the following.# N.B. the default for Linux is g++ and the default for OSX is clang++# CUSTOM_CXX := g++
# CUDA directory contains bin/ and lib/ directories that we need.CUDA_DIR := /usr/local/cuda# On Ubuntu 14.04, if cuda tools are installed via# "sudo apt-get install nvidia-cuda-toolkit" then use this instead:# CUDA_DIR := /usr
# CUDA architecture setting: going with all of them.# For CUDA < 6.0, comment the *_50 through *_61 lines for compatibility.# For CUDA < 8.0, comment the *_60 and *_61 lines for compatibility.# For CUDA >= 9.0, comment the *_20 and *_21 lines for compatibility.CUDA_ARCH := -gencode arch=compute_20,code=sm_20 \ -gencode arch=compute_20,code=sm_21 \ -gencode arch=compute_30,code=sm_30 \ -gencode arch=compute_35,code=sm_35 \ -gencode arch=compute_50,code=sm_50 \ -gencode arch=compute_52,code=sm_52 \ -gencode arch=compute_60,code=sm_60 \ -gencode arch=compute_61,code=sm_61 \ -gencode arch=compute_61,code=compute_61
# BLAS choice:# atlas for ATLAS (default)# mkl for MKL# open for OpenBlasBLAS := open# Custom (MKL/ATLAS/OpenBLAS) include and lib directories.# Leave commented to accept the defaults for your choice of BLAS# (which should work)!# BLAS_INCLUDE := /Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX10.13.sdk/System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/Headers# BLAS_LIB := /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A
# Homebrew puts openblas in a directory that is not on the standard search path# BLAS_INCLUDE := $(shell brew --prefix openblas)/include# BLAS_LIB := $(shell brew --prefix openblas)/lib
# This is required only if you will compile the matlab interface.# MATLAB directory should contain the mex binary in /bin.# MATLAB_DIR := /usr/localMATLAB_DIR := /Applications/MATLAB_R2018a.app
# NOTE: this is required only if you will compile the python interface.# We need to be able to find Python.h and numpy/arrayobject.h.PYTHON_INCLUDE := /usr/local/Cellar/python@2/2.7.14_3/Frameworks/Python.framework/Headers \ /usr/local/Cellar/numpy/1.14.2/lib/python2.7/site-packages/numpy/core/include
# Anaconda Python distribution is quite popular. Include path:# Verify anaconda location, sometimes it's in root.# ANACONDA_HOME := $(HOME)/anaconda# PYTHON_INCLUDE := $(ANACONDA_HOME)/include \ # $(ANACONDA_HOME)/include/python2.7 \ # $(ANACONDA_HOME)/lib/python2.7/site-packages/numpy/core/include
# Uncomment to use Python 3 (default is Python 2)# PYTHON_LIBRARIES := boost_python3 python3.5m# PYTHON_INCLUDE := /usr/include/python3.5m \# /usr/lib/python3.5/dist-packages/numpy/core/include
# We need to be able to find libpythonX.X.so or .dylib.PYTHON_LIB := /usr/local/Cellar/python@2/2.7.14_3/Frameworks/Python.framework/Versions/2.7/lib# PYTHON_LIB := $(ANACONDA_HOME)/lib
# Homebrew installs numpy in a non standard path (keg only)# PYTHON_INCLUDE += $(dir $(shell python -c 'import numpy.core; print(numpy.core.__file__)'))/include# PYTHON_LIB += $(shell brew --prefix numpy)/lib
# Uncomment to support layers written in Python (will link against Python libs)WITH_PYTHON_LAYER := 1
# Whatever else you find you need goes here.INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /usr/local/Cellar/openblas/0.2.20_1/includeLIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /usr/local/Cellar/openblas/0.2.20_1/lib
# If Homebrew is installed at a non standard location (for example your home directory) and you use it for general dependencies# INCLUDE_DIRS += $(shell brew --prefix)/include# LIBRARY_DIRS += $(shell brew --prefix)/lib
# NCCL acceleration switch (uncomment to build with NCCL)# https://github.com/NVIDIA/nccl (last tested version: v1.2.3-1+cuda8.0)# USE_NCCL := 1
# Uncomment to use `pkg-config` to specify OpenCV library paths.# (Usually not necessary -- OpenCV libraries are normally installed in one of the above $LIBRARY_DIRS.)# USE_PKG_CONFIG := 1
# N.B. both build and distribute dirs are cleared on `make clean`BUILD_DIR := buildDISTRIBUTE_DIR := distribute
# Uncomment for debugging. Does not work on OSX due to https://github.com/BVLC/caffe/issues/171# DEBUG := 1
# The ID of the GPU that 'make runtest' will use to run unit tests.TEST_GPUID := 0
# enable pretty build (comment to see full commands)Q ?= @
代码...