Open cqray1990 opened 4 years ago
USE_CUDNN := 1
OPENCV_VERSION := 3
CUDA_DIR := /usr/local/cuda
CUDA_ARCH := -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 := atlas
# $(ANACONDA_HOME)/include/python2.7 \ # $(ANACONDA_HOME)/lib/python2.7/site-packages/numpy/core/include
PYTHON_LIBRARIES := boost_python3 python3.6m PYTHON_INCLUDE := /usr/include/python3.6m \ /usr/local/lib/python3.6/dist-packages/numpy/core/include
PYTHON_LIB := /usr/lib
WITH_PYTHON_LAYER := 1
INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /usr/include/hdf5/serial LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /usr/lib/x86_64-linux-gnu /usr/lib/x86_64-linux-gnu/hdf5/serial
pkg-config
make clean
BUILD_DIR := build DISTRIBUTE_DIR := distribute
TEST_GPUID := 0
Q ?= @
cmake .. results as follows: -- The C compiler identification is GNU 5.4.0 -- The CXX compiler identification is GNU 5.4.0 -- Check for working C compiler: /usr/bin/cc -- Check for working C compiler: /usr/bin/cc -- works -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Detecting C compile features -- Detecting C compile features - done -- Check for working CXX compiler: /usr/bin/c++ -- Check for working CXX compiler: /usr/bin/c++ -- works -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Detecting CXX compile features -- Detecting CXX compile features - done Boost 1.54 found. Found Boost components: system;thread;filesystem -- Found Threads: TRUE -- Found GFlags: /usr/include -- Found gflags (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libgflags.so) -- Found Glog: /usr/include -- Found glog (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libglog.so) -- Found Protobuf: /usr/lib/x86_64-linux-gnu/libprotobuf.so -- Found PROTOBUF Compiler: /usr/bin/protoc -- Found HDF5: /usr/lib/x86_64-linux-gnu/hdf5/serial/lib/libhdf5_hl.so;/usr/lib/x86_64-linux-gnu/hdf5/serial/lib/libhdf5.so;/usr/lib/x86_64-linux-gnu/libpthread.so;/usr/lib/x86_64-linux-gnu/libsz.so;/usr/lib/x86_64-linux-gnu/libz.so;/usr/lib/x86_64-linux-gnu/libdl.so;/usr/lib/x86_64-linux-gnu/libm.so (found version "1.8.16") -- Found LMDB: /usr/include -- Found lmdb (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/liblmdb.so) -- Found LevelDB: /usr/include -- Found LevelDB (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libleveldb.so) -- Found Snappy: /usr/include -- Found Snappy (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libsnappy.so) -- CUDA detected: 9.0 -- Found cuDNN: ver. 7.1.4 found (include: /usr/local/cuda-9.0/include, library: /usr/local/cuda-9.0/lib64/libcudnn.so) -- Added CUDA NVCC flags for: sm_61 -- OpenCV found (/usr/local/share/OpenCV) -- Found Atlas: /usr/include -- Found Atlas (include: /usr/include library: /usr/lib/libatlas.so lapack: /usr/lib/liblapack.so -- Found PythonInterp: /usr/bin/python2.7 (found suitable version "2.7.12", minimum required is "2.7") -- Found PythonLibs: /usr/lib/x86_64-linux-gnu/libpython2.7.so (found suitable version "2.7.12", minimum required is "2.7") -- Found NumPy: /usr/lib/python2.7/dist-packages/numpy/core/include (found suitable version "1.11.0", minimum required is "1.7.1") -- NumPy ver. 1.11.0 found (include: /usr/lib/python2.7/dist-packages/numpy/core/include) Boost 1.46 found. Found Boost components: python -- Could NOT find Doxygen (missing: DOXYGEN_EXECUTABLE) -- Found Git: /usr/bin/git (found version "2.7.4") -- -- Caffe Configuration Summary -- General: -- Version : 1.0.0 -- Git : unknown -- System : Linux -- C++ compiler : /usr/bin/c++ -- Release CXX flags : -O3 -DNDEBUG -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -- Debug CXX flags : -g -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -- Build type : Release -- -- BUILD_SHARED_LIBS : ON -- BUILD_python : ON -- BUILD_matlab : OFF -- BUILD_docs : ON -- CPU_ONLY : OFF -- USE_OPENCV : ON -- USE_LEVELDB : ON -- USE_LMDB : ON -- USE_NCCL : OFF -- ALLOW_LMDB_NOLOCK : OFF -- USE_HDF5 : ON -- -- Dependencies: -- BLAS : Yes (Atlas) -- Boost : Yes (ver. 1.71) -- glog : Yes -- gflags : Yes -- protobuf : Yes (ver. 2.6.1) -- lmdb : Yes (ver. 0.9.17) -- LevelDB : Yes (ver. 1.18) -- Snappy : Yes (ver. 1.1.3) -- OpenCV : Yes (ver. 3.4.0) -- CUDA : Yes (ver. 9.0) -- -- NVIDIA CUDA: -- Target GPU(s) : Auto -- GPU arch(s) : sm_61 -- cuDNN : Yes (ver. 7.1.4) -- -- Python: -- Interpreter : /usr/bin/python2.7 (ver. 2.7.12) -- Libraries : /usr/lib/x86_64-linux-gnu/libpython2.7.so (ver 2.7.12) -- NumPy : /usr/lib/python2.7/dist-packages/numpy/core/include (ver 1.11.0)
why it can not find python3.6? can you help me ,thank you so much,my boost version is 1.71 and instal successfully
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
This code is taken from https://github.com/sh1r0/caffe-android-lib
USE_HDF5 := 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 := 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_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 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 := /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 python3.6m PYTHON_INCLUDE := /usr/include/python3.6m \ /usr/local/lib/python3.6/dist-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/include/hdf5/serial LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /usr/lib/x86_64-linux-gnu /usr/lib/x86_64-linux-gnu/hdf5/serial
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 := 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 ?= @
cmake .. results as follows: -- The C compiler identification is GNU 5.4.0 -- The CXX compiler identification is GNU 5.4.0 -- Check for working C compiler: /usr/bin/cc -- Check for working C compiler: /usr/bin/cc -- works -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Detecting C compile features -- Detecting C compile features - done -- Check for working CXX compiler: /usr/bin/c++ -- Check for working CXX compiler: /usr/bin/c++ -- works -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Detecting CXX compile features -- Detecting CXX compile features - done Boost 1.54 found. Found Boost components: system;thread;filesystem -- Found Threads: TRUE
-- Found GFlags: /usr/include
-- Found gflags (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libgflags.so) -- Found Glog: /usr/include
-- Found glog (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libglog.so) -- Found Protobuf: /usr/lib/x86_64-linux-gnu/libprotobuf.so
-- Found PROTOBUF Compiler: /usr/bin/protoc -- Found HDF5: /usr/lib/x86_64-linux-gnu/hdf5/serial/lib/libhdf5_hl.so;/usr/lib/x86_64-linux-gnu/hdf5/serial/lib/libhdf5.so;/usr/lib/x86_64-linux-gnu/libpthread.so;/usr/lib/x86_64-linux-gnu/libsz.so;/usr/lib/x86_64-linux-gnu/libz.so;/usr/lib/x86_64-linux-gnu/libdl.so;/usr/lib/x86_64-linux-gnu/libm.so (found version "1.8.16") -- Found LMDB: /usr/include
-- Found lmdb (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/liblmdb.so) -- Found LevelDB: /usr/include
-- Found LevelDB (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libleveldb.so) -- Found Snappy: /usr/include
-- Found Snappy (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libsnappy.so) -- CUDA detected: 9.0 -- Found cuDNN: ver. 7.1.4 found (include: /usr/local/cuda-9.0/include, library: /usr/local/cuda-9.0/lib64/libcudnn.so) -- Added CUDA NVCC flags for: sm_61 -- OpenCV found (/usr/local/share/OpenCV) -- Found Atlas: /usr/include
-- Found Atlas (include: /usr/include library: /usr/lib/libatlas.so lapack: /usr/lib/liblapack.so -- Found PythonInterp: /usr/bin/python2.7 (found suitable version "2.7.12", minimum required is "2.7") -- Found PythonLibs: /usr/lib/x86_64-linux-gnu/libpython2.7.so (found suitable version "2.7.12", minimum required is "2.7") -- Found NumPy: /usr/lib/python2.7/dist-packages/numpy/core/include (found suitable version "1.11.0", minimum required is "1.7.1") -- NumPy ver. 1.11.0 found (include: /usr/lib/python2.7/dist-packages/numpy/core/include) Boost 1.46 found. Found Boost components: python -- Could NOT find Doxygen (missing: DOXYGEN_EXECUTABLE) -- Found Git: /usr/bin/git (found version "2.7.4") -- -- Caffe Configuration Summary -- General: -- Version : 1.0.0 -- Git : unknown -- System : Linux -- C++ compiler : /usr/bin/c++ -- Release CXX flags : -O3 -DNDEBUG -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -- Debug CXX flags : -g -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -- Build type : Release -- -- BUILD_SHARED_LIBS : ON -- BUILD_python : ON -- BUILD_matlab : OFF -- BUILD_docs : ON -- CPU_ONLY : OFF -- USE_OPENCV : ON -- USE_LEVELDB : ON -- USE_LMDB : ON -- USE_NCCL : OFF -- ALLOW_LMDB_NOLOCK : OFF -- USE_HDF5 : ON -- -- Dependencies: -- BLAS : Yes (Atlas) -- Boost : Yes (ver. 1.71) -- glog : Yes -- gflags : Yes -- protobuf : Yes (ver. 2.6.1) -- lmdb : Yes (ver. 0.9.17) -- LevelDB : Yes (ver. 1.18) -- Snappy : Yes (ver. 1.1.3) -- OpenCV : Yes (ver. 3.4.0) -- CUDA : Yes (ver. 9.0) -- -- NVIDIA CUDA: -- Target GPU(s) : Auto -- GPU arch(s) : sm_61 -- cuDNN : Yes (ver. 7.1.4) -- -- Python: -- Interpreter : /usr/bin/python2.7 (ver. 2.7.12) -- Libraries : /usr/lib/x86_64-linux-gnu/libpython2.7.so (ver 2.7.12) -- NumPy : /usr/lib/python2.7/dist-packages/numpy/core/include (ver 1.11.0)
why it can not find python3.6? can you help me ,thank you so much,my boost version is 1.71 and instal successfully