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Poplar Giant
Apr 22, 2019, 11:19:48 PM4/22/19
to Caffe Users
I met a link error when installing clCaffe, follow https://github.com/01org/caffe/wiki/clCaffe
here is the detail information
===============================================================================================
lib paths
===============================================================================================
a@a-Z170-D3H:build$ ls /home/a/PerfTool/clCaffe/dep_libs/include/
clBLAS-complex.h clBLAS.h clBLAS.version.h isaac viennacl
a@a-Z170-D3H:build$ ls /home/a/PerfTool/clCaffe/dep_libs/lib/
cmake libisaac.so
a@a-Z170-D3H:build$ ls /home/a/code/viennacl-dev/build/libviennacl/
CMakeFiles cmake_install.cmake libviennacl.so Makefile
a@a-Z170-D3H:build$ echo $LD_LIBRARY_PATH
/usr/loca/lib/:/home/a/PerfTool/clCaffe/opencv/lib:/home/a/code/viennacl-dev/build/libviennacl/:
===============================================================================================
Makefile.config
===============================================================================================
a@a-Z170-D3H:build$ cat ../Makefile.config
# Contributions simplifying and improving our build system are welcome!
# 32 bit / 64 bit indexing
# USE_INDEX_64 := 1
# GreenTea (ViennaCL/OpenCL) backend switch
# Enable the CUDA backend
# USE_CUDA := 1
# Enable the OpenCL/Greentea backend
USE_GREENTEA := 1
DISABLE_DEVICE_HOST_UNIFIED_MEMORY := 0
# Enable the Greentea-LibDNN convolution backend
# USE_LIBDNN := 1
# Enable the Intel spatial convolutions
USE_INTEL_SPATIAL := 1
# Folder of the ViennaCL header-only library
VIENNACL_DIR := /home/a/PerfTool/clCaffe/dep_libs/include/viennacl
# Override BLAS, use CLBlast instead of ViennacLBLAS.
# USE_CLBLAST := 1
# Custom CLBlast lib and include directories.
# CLBLAST_INCLUDE := /path/to/clblast/include
# CLBLAST_LIB := /path/to/clblast/lib
# Override BLAS, use clBLAS insead of ViennaclBLAS.
# USE_CLBLAS := 1
# Custom clBLAS lib and include directories.
# CLBLAS_INCLUDE := /path/to/clblas/include
# CLBLAS_LIB := /path/to/clblas/lib
# Override BLAS, use ISAAC instead of ViennaclBLAS.
USE_ISAAC := 1
# Uncomment for FFT
# USE_FFT := 1
# cuDNN acceleration switch (uncomment to build with cuDNN).
# USE_CUDNN := 1
# CPU-only switch (uncomment to build without GPU support).
# CPU_ONLY := 1
# CPU OpenMP switch. Do not use OpenMP on dual socket systems!
USE_OPENMP := 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.
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 OpenBlas
# BLAS := atlas
BLAS := 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 := /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 \
# $(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/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) /home/a/PerfTool/OpenCL-Headers /usr/local/include /home/a/PerfTool/clCaffe/dep_libs/include
LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /home/a/PerfTool/clCaffe/opencv/lib /home/a/code/viennacl-dev/build/libviennacl
# 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 $LIBRARY_DIRS.)
# USE_PKG_CONFIG := 1
# N.B. both build and distribute dirs are cleared on `make clean`
BUILD_DIR := build
DISTRIBUTE_DIR := distribute
# Uncomment for debugging. Does not work on OSX due to https://github.com/BVLC/caffe/issues/171
# DEBUG := 1
# VIENNACL_DEBUG := 0
# The ID of the GPU that 'make runtest' will use to run unit tests.
TEST_GPUID := 0
# enable pretty build (comment to see full commands)
Q ?= @
===============================================================================================
Makefile add one line at 345
===============================================================================================
ifeq ($(DISABLE_DEVICE_HOST_UNIFIED_MEMORY),1)
COMMON_FLAGS += -DDISABLE_DEVICE_HOST_UNIFIED_MEMORY
endif
LIBRARIES += viennacl //line 345
ifeq ($(USE_GREENTEA),1)
# Find a valid OpenCL library
# TODO: Validate and complete this based on different SDKs
ifdef OPENCL_INC
CLLINC = '$(OPENCL_INC)'
===============================================================================================
cmake command for clCaffe build
===============================================================================================
export ISAAC_HOME=/home/a/PerfTool/clCaffe/dep_libs/include
cmake .. -DUSE_GREENTEA=ON -DUSE_CUDA=OFF -DUSE_INTEL_SPATIAL=ON -DBUILD_docs=0 -DUSE_ISAAC=ON -DViennaCL_INCLUDE_DIR=/home/a/PerfTool/clCaffe/dep_libs/include -DBLAS=open -DOPENCL_LIBRARY=/opt/intel_ocl_runtime_cpu/opencl/linux/compiler/lib/intel64_lin/libOpenCL.so -DOPENCL_INCLUDE_DIRS=/home/a/PerfTool/OpenCL-Headers/
==============================================================================================
make VERBOSE=1
==============================================================================================
a@a-Z170-D3H:build$ make VERBOSE=1
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/usr/bin/cmake -E cmake_progress_start /home/a/code/clCaffe/build/CMakeFiles /home/a/code/clCaffe/build/CMakeFiles/progress.marks
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../lib/libcaffe.so.1.0.0-rc5：对‘viennacl::ocl::program& caffe::RegisterKernels<float>(viennacl::ocl::context*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)’未定义的引用
../lib/libcaffe.so.1.0.0-rc5：对‘viennacl::ocl::program& caffe::RegisterKernels<half_float::half>(viennacl::ocl::context*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)’未定义的引用
../lib/libcaffe.so.1.0.0-rc5：对‘viennacl::ocl::program& caffe::RegisterKernels<double>(viennacl::ocl::context*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)’未定义的引用
../lib/libcaffe.so.1.0.0-rc5：对‘caffe::RegisterCommonKernels(viennacl::ocl::context*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)’未定义的引用
../lib/libcaffe.so.1.0.0-rc5：对‘viennacl::ocl::program& caffe::submit_conv_spatial_program<half_float::half>(viennacl::ocl::context*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)’未定义的引用
../lib/libcaffe.so.1.0.0-rc5：对‘viennacl::ocl::program& caffe::submit_conv_spatial_program<double>(viennacl::ocl::context*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)’未定义的引用
../lib/libcaffe.so.1.0.0-rc5：对‘viennacl::ocl::program& caffe::submit_conv_spatial_program<float>(viennacl::ocl::context*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)’未定义的引用
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make[1]: Leaving directory '/home/a/code/clCaffe/build'
Makefile:127: recipe for target 'all' failed
make: *** [all] Error 2
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