jspark1105
commented
7 years ago Sorry about late reply. The error sounds like OpenMP is not on in your compiler option. What's the version of your Intel compiler? Can you comment Q ?= @ (the last line of Makefile.config) and see -qopenmp is included in your compiler option?
Issue summary
Hi,Thanks for your code,but I encountered a problem when "make all": PROTOC src/caffe/proto/caffe.proto CXX .build_release/src/caffe/proto/caffe.pb.cc CXX src/caffe/data_reader.cpp CXX src/caffe/common.cpp src/caffe/common.cpp(140): error: identifier "omp_get_thread_num" is undefined if (0 == omp_get_thread_num()) { ^
compilation aborted for src/caffe/common.cpp (code 2) make: *** [.build_release/src/caffe/common.o] Error 1
Steps to reproduce
Follow is my Makefile.config:
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 3
OPENCV_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 := icpc
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 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 := mkl
Custom (MKL/ATLAS/OpenBLAS) include and lib directories.
Leave commented to accept the defaults for your choice of BLAS
(which should work)!
BLAS_INCLUDE := /path/to/your/blas
BLAS_LIB := /path/to/your/blas
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 \
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/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/include src src/libxsmm/include $(CUDA_DIR)/include LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib src/SpMP src/libxsmm/lib $(CUDA_DIR)/lib64
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-configto 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 cleanBUILD_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 ?= @
Your system configuration
Operating system:Ubuntu 14.04 Compiler:intel compiler CUDA version (if applicable):cuda8.0 BLAS:mkl Python or MATLAB version (for pycaffe and matcaffe respectively):python2.7