|
I am building caffee at my Jetson-TK1 board. The board runs Ubuntu Linux 32bit.
My Makefile.config is as follow ## 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
# 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-6.5 # 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 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_50,code=compute_50
# BLAS choice: # atlas for ATLAS (default) # mkl for MKL # open for OpenBlas BLAS := atlas # Custom (MKL/ATLAS/OpenBLAS) include and lib directories. # Leave commented to accept the defaults for your choice of BLAS # (which should work)! BLAS_INCLUDE := /usr/include BLAS_LIB := /usr/lib
# 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/local # MATLAB_DIR := /Applications/MATLAB_R2012b.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/include/python2.7 \ /usr/lib/python2.7/dist-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 \
# We need to be able to find libpythonX.X.so or .dylib. PYTHON_LIB := /usr/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/hdf5/include LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /usr/local/hdf5/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
# Uncomment to use `pkg-config` to specify OpenCV library paths. # (Usually not necessary -- OpenCV libraries are normally installed in one of the above $LIBRARY_DIRS.) # USE_PKG_CONFIG := 1
BUILD_DIR := build DISTRIBUTE_DIR := distribute
# Uncomment for debugging. Does not work on OSX due to https://github.com/BVLC/caffe/issues/171 DEBUG := 1
# The ID of the GPU that 'make runtest' will use to run unit tests. TEST_GPUID := 0
# enable pretty build (comment to see full commands) Q ?= @
I can do make all with success.
The errors came when I run make test .
The errors are ubuntu@tegra-ubuntu:/opt/caffee$ make test CXX/LD -o .build_debug/test/test_all.testbin src/caffe/test/test_caffe_main.cpp .build_debug/lib/libcaffe.so: undefined reference to `caffe::BaseConvolutionLayer<float>::forward_gpu_bias(float*, float const*)' .build_debug/lib/libcaffe.so: undefined reference to `caffe::BaseConvolutionLayer<double>::backward_gpu_gemm(double const*, double const*, double*)' .build_debug/lib/libcaffe.so: undefined reference to `caffe::BaseConvolutionLayer<double>::backward_gpu_bias(double*, double const*)' .build_debug/lib/libcaffe.so: undefined reference to `caffe::BaseConvolutionLayer<float>::forward_gpu_gemm(float const*, float const*, float*, bool)' .build_debug/lib/libcaffe.so: undefined reference to `caffe::BaseConvolutionLayer<float>::backward_gpu_bias(float*, float const*)' .build_debug/lib/libcaffe.so: undefined reference to `caffe::BaseConvolutionLayer<double>::weight_gpu_gemm(double const*, double const*, double*)' .build_debug/lib/libcaffe.so: undefined reference to `caffe::curandGetErrorString(curandStatus)' .build_debug/lib/libcaffe.so: undefined reference to `caffe::BaseConvolutionLayer<double>::forward_gpu_bias(double*, double const*)' .build_debug/lib/libcaffe.so: undefined reference to `caffe::BaseConvolutionLayer<float>::backward_gpu_gemm(float const*, float const*, float*)' .build_debug/lib/libcaffe.so: undefined reference to `caffe::cublasGetErrorString(cublasStatus_t)' .build_debug/lib/libcaffe.so: undefined reference to `caffe::BaseConvolutionLayer<double>::forward_gpu_gemm(double const*, double const*, double*, bool)' .build_debug/lib/libcaffe.so: undefined reference to `caffe::BaseConvolutionLayer<float>::weight_gpu_gemm(float const*, float const*, float*)' collect2: error: ld returned 1 exit status make: *** [.build_debug/test/test_all.testbin] Error 1 ubuntu@tegra-ubuntu:/opt/caffe
I use CUDA-6.5 .
What could be wrong with this build?
Thanks |