Я пытался в течение нескольких дней ускорить работу RCNN в ноутбуке с графическим процессором (Quadro K5100M). Мне удалось запустить demo.py в ноутбуке только с процессором. Я использую CUDA 8 и CuDnn 4 и работы по сборке caffe, но процесс сборки caffe в более быстром rcnn не делает. У меня теперь CuDnn прокомментирован из-за некоторых других ошибок. Может ли кто-нибудь дать мне несколько предложений.Быстрее RCNN make fail
Я получаю эту ошибку во время make -j8 & & сделать pycaffe.
.build_release/tools/extract_features.o: In function INT feature_extraction_pipeline (INT, символ **) ': extract_features.cpp :(text._Z27feature_extraction_pipelineIfEiiPPc [_Z27feature_extraction_pipelineIfEiiPPc] + 0x162):. Неопределенная ссылка на caffe::Net<float>::Net(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, caffe::Phase, caffe::Net<float> const*)' collect2: error: ld returned 1 exit status CXX/LD -o .build_release/examples/mnist/convert_mnist_data.bin Makefile:607: recipe for target '.build_release/tools/extract_features.bin' failed make: *** [.build_release/tools/extract_features.bin] Error 1 make: *** Waiting for unfinished jobs.... .build_release/tools/caffe.o: In function тест()':. caffe.cpp :(текст + 0x1157): неопределенная ссылка на caffe::Net<float>::Net(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, caffe::Phase, caffe::Net<float> const*)' .build_release/tools/caffe.o: In function поезда() ': caffe.cpp :(текст + 0x2a3e). неопределенная ссылка на caffe::P2PSync<float>::P2PSync(boost::shared_ptr<caffe::Solver<float> >, caffe::P2PSync<float>*, caffe::SolverParameter const&)' caffe.cpp:(.text+0x2a6b): undefined reference to Caffe :: P2PSync :: Run (станд :: вектор> сопзЬ &)' caffe.cpp :(текст + 0x2a73): неопределенная ссылка на caffe::P2PSync<float>::~P2PSync()' caffe.cpp:(.text+0x3c53): undefined reference to caffe :: P2PSync :: ~ P2PSync() ' caffe.cpp :(текст + 0x3f45): неопределенная ссылка на caffe::P2PSync<float>::~P2PSync()' .build_release/tools/caffe.o: In function время()': caffe . E.cpp :(текст + 0x4136): неопределенная ссылка на caffe::Net<float>::Net(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, caffe::Phase, caffe::Net<float> const*)' caffe.cpp:(.text+0x44ef): undefined reference to Caffe :: Layer :: Лок()» caffe.cpp :(текст + 0x45ed). Неопределенная ссылка на caffe::Layer<float>::Unlock()' collect2: error: ld returned 1 exit status Makefile:607: recipe for target '.build_release/tools/caffe.bin' failed
This is my makefile
# USE_CUDNN := 1
# CPU-only switch (uncomment to build without GPU support).
# CPU_ONLY := 1
# Uncomment if you're using OpenCV 3
OPENCV_VERSION := 3
# CUDA directory contains bin/ and lib/ directories that we need.
CUDA_DIR := /usr/local/cuda-8.0
# 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_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 := atlas
#BLAS := open
# 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/local/lib/python2.7/dist-packages/numpy/core/include \
/usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy
# We need to be able to find libpythonX.X.so or .dylib.
PYTHON_LIB := /usr/lib
# PYTHON_LIB := $(ANACONDA_HOME)/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/include/hdf5/serial /usr/include/opencv /usr/local/cuda-8.0/include
LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /usr/lib/x86_64-linux-gnu /usr/lib/x86_64-linux-gnu/hdf5/serial /usr/local/share/OpenCV /usr/local/cuda-8.0/lib64
# N.B. both build and distribute dirs are cleared on `make clean`
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 ?= @