src/caffe/parallel.cpp:70:1: error: ‘Params’ does not name a type
src/caffe/parallel.cpp:70:1: error: ‘Params’ does not name a type
这不是我第一次编译caffe了，但是还是遇到了无法解决的问题。我用的caffe版本是https://github.com/chuanqi305/ssd，编译版本是GPU，我在我的电脑（Ubuntu16.04 GTX1080TI*1 cuda9.0）上编译成功运行，但是在学校服务器(Ubuntu 14.04 Tesla k80*2+Tesla k40*2 cuda8.0)，同样的代码，同样的配置，但是编译失败。错误发生在代码编译阶段而不是link阶段，但是代码本身肯定没问题，因为在另一台电脑上已经编译成功了，不知道是不是因为我的gcc/g++版本
我尝试使用 g++ 命令自己编译 parallel.cpp 文件。当我不指定头文件路径时，也会出现同样的错误，但是在Makefile中，已经添加了头文件的位置。
错误信息如下：
SGM@user-SMBIOS-implementations-newer-thandmidecode-Super-Server:~/ssd-ssd$ sudo make all
PROTOC src/caffe/proto/caffe.proto
CXX .build_release/src/caffe/proto/caffe.pb.cc
CXX src/caffe/parallel.cpp
src/caffe/parallel.cpp:70:1: error: ‘Params’ does not name a type
Params<Dtype>::Params(shared_ptr<Solver<Dtype> > root_solver)
^
src/caffe/parallel.cpp:77:1: error: ‘GPUParams’ does not name a type
GPUParams<Dtype>::GPUParams(shared_ptr<Solver<Dtype> > root_solver, int device)
^
src/caffe/parallel.cpp:102:1: error: ‘GPUParams’ does not name a type
GPUParams<Dtype>::~GPUParams() {
^
src/caffe/parallel.cpp:110:15: error: expected initializer before ‘<’ token
void GPUParams<Dtype>::configure(Solver<Dtype>* solver) const {
^
src/caffe/parallel.cpp:117:6: error: ‘DevicePair’ has not been declared
void DevicePair::compute(const vector<int> devices, vector<DevicePair>* pairs) {
^
src/caffe/parallel.cpp:117:60: error: ‘DevicePair’ was not declared in this scope
void DevicePair::compute(const vector<int> devices, vector<DevicePair>* pairs) {
^
src/caffe/parallel.cpp:117:70: error: template argument 1 is invalid
void DevicePair::compute(const vector<int> devices, vector<DevicePair>* pairs) {
^
src/caffe/parallel.cpp:117:70: error: template argument 2 is invalid
src/caffe/parallel.cpp: In function ‘void caffe::compute(std::vector<int>, int*)’:
src/caffe/parallel.cpp:133:20: error: request for member ‘push_back’ in ‘* pairs’, which is of non-class type ‘int’
pairs->push_back(DevicePair(remaining[i], remaining[j]));
^
src/caffe/parallel.cpp:133:67: error: ‘DevicePair’ was not declared in this scope
pairs->push_back(DevicePair(remaining[i], remaining[j]));
^
src/caffe/parallel.cpp:157:18: error: request for member ‘push_back’ in ‘* pairs’, which is of non-class type ‘int’
pairs->push_back(DevicePair(remaining[i], remaining[j]));
^
src/caffe/parallel.cpp:157:65: error: ‘DevicePair’ was not declared in this scope
pairs->push_back(DevicePair(remaining[i], remaining[j]));
^
src/caffe/parallel.cpp:175:14: error: request for member ‘push_back’ in ‘* pairs’, which is of non-class type ‘int’
pairs->push_back(DevicePair(remaining[i], remaining[i + 1]));
^
src/caffe/parallel.cpp:175:65: error: ‘DevicePair’ was not declared in this scope
pairs->push_back(DevicePair(remaining[i], remaining[i + 1]));
^
src/caffe/parallel.cpp:185:10: error: request for member ‘insert’ in ‘* pairs’, which is of non-class type ‘int’
pairs->insert(pairs->begin(), DevicePair(-1, remaining[0]));
^
src/caffe/parallel.cpp:185:24: error: request for member ‘begin’ in ‘* pairs’, which is of non-class type ‘int’
pairs->insert(pairs->begin(), DevicePair(-1, remaining[0]));
^
src/caffe/parallel.cpp:185:60: error: ‘DevicePair’ was not declared in this scope
pairs->insert(pairs->begin(), DevicePair(-1, remaining[0]));
^
In file included from src/caffe/parallel.cpp:4:0:
src/caffe/parallel.cpp:187:16: error: request for member ‘size’ in ‘* pairs’, which is of non-class type ‘int’
CHECK(pairs->size() == devices.size());
^
src/caffe/parallel.cpp:188:30: error: request for member ‘size’ in ‘* pairs’, which is of non-class type ‘int’
for (int i = 0; i < pairs->size(); ++i) {
^
In file included from src/caffe/parallel.cpp:4:0:
src/caffe/parallel.cpp:189:21: error: invalid types ‘int[int]’ for array subscript
CHECK((*pairs)[i].parent() != (*pairs)[i].device());
^
src/caffe/parallel.cpp:189:45: error: invalid types ‘int[int]’ for array subscript
CHECK((*pairs)[i].parent() != (*pairs)[i].device());
^
src/caffe/parallel.cpp:190:36: error: request for member ‘size’ in ‘* pairs’, which is of non-class type ‘int’
for (int j = i + 1; j < pairs->size(); ++j) {
^
In file included from src/caffe/parallel.cpp:4:0:
src/caffe/parallel.cpp:191:23: error: invalid types ‘int[int]’ for array subscript
CHECK((*pairs)[i].device() != (*pairs)[j].device());
^
src/caffe/parallel.cpp:191:47: error: invalid types ‘int[int]’ for array subscript
CHECK((*pairs)[i].device() != (*pairs)[j].device());
^
src/caffe/parallel.cpp: At global scope:
src/caffe/parallel.cpp:202:1: error: ‘P2PSync’ does not name a type
P2PSync<Dtype>::P2PSync(shared_ptr<Solver<Dtype> > root_solver,
^
src/caffe/parallel.cpp:249:1: error: ‘P2PSync’ does not name a type
P2PSync<Dtype>::~P2PSync() {
^
src/caffe/parallel.cpp:271:13: error: expected initializer before ‘<’ token
void P2PSync<Dtype>::InternalThreadEntry() {
^
src/caffe/parallel.cpp:287:13: error: expected initializer before ‘<’ token
void P2PSync<Dtype>::on_start() {
^
src/caffe/parallel.cpp:325:13: error: expected initializer before ‘<’ token
void P2PSync<Dtype>::on_gradients_ready() {
^
src/caffe/parallel.cpp:383:13: error: expected initializer before ‘<’ token
void P2PSync<Dtype>::Prepare(const vector<int>& gpus,
^
src/caffe/parallel.cpp:421:13: error: expected initializer before ‘<’ token
void P2PSync<Dtype>::Run(const vector<int>& gpus) {
^
In file included from /usr/local/include/caffe/blob.hpp:8:0,
from /usr/local/include/caffe/caffe.hpp:7,
from src/caffe/parallel.cpp:12:
src/caffe/parallel.cpp:439:19: error: ‘Params’ is not a class template
INSTANTIATE_CLASS(Params);
^
src/caffe/parallel.cpp:439:19: error: explicit instantiation of non-template type ‘caffe::Params’
src/caffe/parallel.cpp:439:19: error: ‘Params’ is not a class template
INSTANTIATE_CLASS(Params);
^
src/caffe/parallel.cpp:439:19: error: explicit instantiation of non-template type ‘caffe::Params’
src/caffe/parallel.cpp:440:19: error: ‘GPUParams’ is not a class template
INSTANTIATE_CLASS(GPUParams);
^
src/caffe/parallel.cpp:440:19: error: explicit instantiation of non-template type ‘caffe::GPUParams’
src/caffe/parallel.cpp:440:19: error: ‘GPUParams’ is not a class template
INSTANTIATE_CLASS(GPUParams);
^
src/caffe/parallel.cpp:440:19: error: explicit instantiation of non-template type ‘caffe::GPUParams’
src/caffe/parallel.cpp:441:19: error: ‘P2PSync’ is not a class template
INSTANTIATE_CLASS(P2PSync);
^
src/caffe/parallel.cpp:441:19: error: explicit instantiation of non-template type ‘caffe::P2PSync’
src/caffe/parallel.cpp:441:19: error: ‘P2PSync’ is not a class template
INSTANTIATE_CLASS(P2PSync);
^
src/caffe/parallel.cpp:441:19: error: explicit instantiation of non-template type ‘caffe::P2PSync’
make: *** [.build_release/src/caffe/parallel.o] Error 1
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 := 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 lines after *_35 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/SGM/anaconda3
PYTHON_INCLUDE := /home/SGM/anaconda3/include \
/home/SGM/anaconda3/include/python3.6m \
/home/SGM/anaconda3/lib/python3.6/site-packages/numpy/core/include
# Uncomment to use Python 3 (default is Python 2)
PYTHON_LIBRARIES := boost_python3 python3.6m
PYTHON_INCLUDE := /home/SGM/anaconda3/include/python3.6m \
/home/SGM/anaconda3/lib/python3.6/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 /home/SGM/anaconda3/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 $LIBRARY_DIRS.)
# USE_PKG_CONFIG := 1
# N.B. both build and distribute dirs are cleared on `make clean`
BUILD_DIR := build
DISTRIBUTE_DIR := distribute
# Uncomment for debugging. Does not work on OSX due to https://github.com/BVLC/caffe/issues/171
# DEBUG := 1
# The ID of the GPU that 'make runtest' will use to run unit tests.
TEST_GPUID := 0
# enable pretty build (comment to see full commands)
Q ?= @
你换环境的时候，有没有编辑Makefile.config里面的路径？
如果要用cuDNN编译，请确保python路径正确并确保安装了cudnn。
对你的问题不是很清楚，尝试评论 USE_CUDNN := 1
这不是我第一次编译caffe了，但是还是遇到了无法解决的问题。我用的caffe版本是https://github.com/chuanqi305/ssd，编译版本是GPU，我在我的电脑（Ubuntu16.04 GTX1080TI*1 cuda9.0）上编译成功运行，但是在学校服务器(Ubuntu 14.04 Tesla k80*2+Tesla k40*2 cuda8.0)，同样的代码，同样的配置，但是编译失败。错误发生在代码编译阶段而不是link阶段，但是代码本身肯定没问题，因为在另一台电脑上已经编译成功了，不知道是不是因为我的gcc/g++版本
我尝试使用 g++ 命令自己编译 parallel.cpp 文件。当我不指定头文件路径时，也会出现同样的错误，但是在Makefile中，已经添加了头文件的位置。
错误信息如下：
SGM@user-SMBIOS-implementations-newer-thandmidecode-Super-Server:~/ssd-ssd$ sudo make all
PROTOC src/caffe/proto/caffe.proto
CXX .build_release/src/caffe/proto/caffe.pb.cc
CXX src/caffe/parallel.cpp
src/caffe/parallel.cpp:70:1: error: ‘Params’ does not name a type
Params<Dtype>::Params(shared_ptr<Solver<Dtype> > root_solver)
^
src/caffe/parallel.cpp:77:1: error: ‘GPUParams’ does not name a type
GPUParams<Dtype>::GPUParams(shared_ptr<Solver<Dtype> > root_solver, int device)
^
src/caffe/parallel.cpp:102:1: error: ‘GPUParams’ does not name a type
GPUParams<Dtype>::~GPUParams() {
^
src/caffe/parallel.cpp:110:15: error: expected initializer before ‘<’ token
void GPUParams<Dtype>::configure(Solver<Dtype>* solver) const {
^
src/caffe/parallel.cpp:117:6: error: ‘DevicePair’ has not been declared
void DevicePair::compute(const vector<int> devices, vector<DevicePair>* pairs) {
^
src/caffe/parallel.cpp:117:60: error: ‘DevicePair’ was not declared in this scope
void DevicePair::compute(const vector<int> devices, vector<DevicePair>* pairs) {
^
src/caffe/parallel.cpp:117:70: error: template argument 1 is invalid
void DevicePair::compute(const vector<int> devices, vector<DevicePair>* pairs) {
^
src/caffe/parallel.cpp:117:70: error: template argument 2 is invalid
src/caffe/parallel.cpp: In function ‘void caffe::compute(std::vector<int>, int*)’:
src/caffe/parallel.cpp:133:20: error: request for member ‘push_back’ in ‘* pairs’, which is of non-class type ‘int’
pairs->push_back(DevicePair(remaining[i], remaining[j]));
^
src/caffe/parallel.cpp:133:67: error: ‘DevicePair’ was not declared in this scope
pairs->push_back(DevicePair(remaining[i], remaining[j]));
^
src/caffe/parallel.cpp:157:18: error: request for member ‘push_back’ in ‘* pairs’, which is of non-class type ‘int’
pairs->push_back(DevicePair(remaining[i], remaining[j]));
^
src/caffe/parallel.cpp:157:65: error: ‘DevicePair’ was not declared in this scope
pairs->push_back(DevicePair(remaining[i], remaining[j]));
^
src/caffe/parallel.cpp:175:14: error: request for member ‘push_back’ in ‘* pairs’, which is of non-class type ‘int’
pairs->push_back(DevicePair(remaining[i], remaining[i + 1]));
^
src/caffe/parallel.cpp:175:65: error: ‘DevicePair’ was not declared in this scope
pairs->push_back(DevicePair(remaining[i], remaining[i + 1]));
^
src/caffe/parallel.cpp:185:10: error: request for member ‘insert’ in ‘* pairs’, which is of non-class type ‘int’
pairs->insert(pairs->begin(), DevicePair(-1, remaining[0]));
^
src/caffe/parallel.cpp:185:24: error: request for member ‘begin’ in ‘* pairs’, which is of non-class type ‘int’
pairs->insert(pairs->begin(), DevicePair(-1, remaining[0]));
^
src/caffe/parallel.cpp:185:60: error: ‘DevicePair’ was not declared in this scope
pairs->insert(pairs->begin(), DevicePair(-1, remaining[0]));
^
In file included from src/caffe/parallel.cpp:4:0:
src/caffe/parallel.cpp:187:16: error: request for member ‘size’ in ‘* pairs’, which is of non-class type ‘int’
CHECK(pairs->size() == devices.size());
^
src/caffe/parallel.cpp:188:30: error: request for member ‘size’ in ‘* pairs’, which is of non-class type ‘int’
for (int i = 0; i < pairs->size(); ++i) {
^
In file included from src/caffe/parallel.cpp:4:0:
src/caffe/parallel.cpp:189:21: error: invalid types ‘int[int]’ for array subscript
CHECK((*pairs)[i].parent() != (*pairs)[i].device());
^
src/caffe/parallel.cpp:189:45: error: invalid types ‘int[int]’ for array subscript
CHECK((*pairs)[i].parent() != (*pairs)[i].device());
^
src/caffe/parallel.cpp:190:36: error: request for member ‘size’ in ‘* pairs’, which is of non-class type ‘int’
for (int j = i + 1; j < pairs->size(); ++j) {
^
In file included from src/caffe/parallel.cpp:4:0:
src/caffe/parallel.cpp:191:23: error: invalid types ‘int[int]’ for array subscript
CHECK((*pairs)[i].device() != (*pairs)[j].device());
^
src/caffe/parallel.cpp:191:47: error: invalid types ‘int[int]’ for array subscript
CHECK((*pairs)[i].device() != (*pairs)[j].device());
^
src/caffe/parallel.cpp: At global scope:
src/caffe/parallel.cpp:202:1: error: ‘P2PSync’ does not name a type
P2PSync<Dtype>::P2PSync(shared_ptr<Solver<Dtype> > root_solver,
^
src/caffe/parallel.cpp:249:1: error: ‘P2PSync’ does not name a type
P2PSync<Dtype>::~P2PSync() {
^
src/caffe/parallel.cpp:271:13: error: expected initializer before ‘<’ token
void P2PSync<Dtype>::InternalThreadEntry() {
^
src/caffe/parallel.cpp:287:13: error: expected initializer before ‘<’ token
void P2PSync<Dtype>::on_start() {
^
src/caffe/parallel.cpp:325:13: error: expected initializer before ‘<’ token
void P2PSync<Dtype>::on_gradients_ready() {
^
src/caffe/parallel.cpp:383:13: error: expected initializer before ‘<’ token
void P2PSync<Dtype>::Prepare(const vector<int>& gpus,
^
src/caffe/parallel.cpp:421:13: error: expected initializer before ‘<’ token
void P2PSync<Dtype>::Run(const vector<int>& gpus) {
^
In file included from /usr/local/include/caffe/blob.hpp:8:0,
from /usr/local/include/caffe/caffe.hpp:7,
from src/caffe/parallel.cpp:12:
src/caffe/parallel.cpp:439:19: error: ‘Params’ is not a class template
INSTANTIATE_CLASS(Params);
^
src/caffe/parallel.cpp:439:19: error: explicit instantiation of non-template type ‘caffe::Params’
src/caffe/parallel.cpp:439:19: error: ‘Params’ is not a class template
INSTANTIATE_CLASS(Params);
^
src/caffe/parallel.cpp:439:19: error: explicit instantiation of non-template type ‘caffe::Params’
src/caffe/parallel.cpp:440:19: error: ‘GPUParams’ is not a class template
INSTANTIATE_CLASS(GPUParams);
^
src/caffe/parallel.cpp:440:19: error: explicit instantiation of non-template type ‘caffe::GPUParams’
src/caffe/parallel.cpp:440:19: error: ‘GPUParams’ is not a class template
INSTANTIATE_CLASS(GPUParams);
^
src/caffe/parallel.cpp:440:19: error: explicit instantiation of non-template type ‘caffe::GPUParams’
src/caffe/parallel.cpp:441:19: error: ‘P2PSync’ is not a class template
INSTANTIATE_CLASS(P2PSync);
^
src/caffe/parallel.cpp:441:19: error: explicit instantiation of non-template type ‘caffe::P2PSync’
src/caffe/parallel.cpp:441:19: error: ‘P2PSync’ is not a class template
INSTANTIATE_CLASS(P2PSync);
^
src/caffe/parallel.cpp:441:19: error: explicit instantiation of non-template type ‘caffe::P2PSync’
make: *** [.build_release/src/caffe/parallel.o] Error 1
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 := 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 lines after *_35 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/SGM/anaconda3
PYTHON_INCLUDE := /home/SGM/anaconda3/include \
/home/SGM/anaconda3/include/python3.6m \
/home/SGM/anaconda3/lib/python3.6/site-packages/numpy/core/include
# Uncomment to use Python 3 (default is Python 2)
PYTHON_LIBRARIES := boost_python3 python3.6m
PYTHON_INCLUDE := /home/SGM/anaconda3/include/python3.6m \
/home/SGM/anaconda3/lib/python3.6/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 /home/SGM/anaconda3/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
# 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 ?= @
你换环境的时候，有没有编辑Makefile.config里面的路径？
如果要用cuDNN编译，请确保python路径正确并确保安装了cudnn。
对你的问题不是很清楚，尝试评论 USE_CUDNN := 1