Ubuntu 16.04 CUDA8.0 CUDNN6.0 Ca

作者: 从菜鸟开始 | 来源:发表于2018-10-27 00:58 被阅读0次

最近由于遇到开源代码是基于Caffe的，所以打算在ubuntu平台上配置caffe-gpu，本机硬件：
Ubuntu 16.04
GTX 1070 8g
CUDA 8.0 Cudnn 6
Anaconda Python3.6
Matlab R2017b

Let us go~

一、安装依赖

For Ubuntu < 17.04:

#General dependencies
sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libhdf5-serial-dev protobuf-compiler
sudo apt-get install --no-install-recommends libboost-all-dev
sudo apt-get install libgflags-dev libgoogle-glog-dev liblmdb-dev 
sudo apt-get install git cmake build-essential #以上两条来自博客，是否必须有待确定(https://blog.csdn.net/yhaolpz/article/details/71375762）

BLAS：

sudo apt-get install libatlas-base-dev

二、编译

2.1 编译前的操作

主要是一些配置文件的改动:(https://blog.csdn.net/yhaolpz/article/details/71375762）

2.2 正式编译

make all -j8

此步出错:

CXX src/caffe/util/db_lmdb.cpp
CXX src/caffe/internal_thread.cpp
CXX src/caffe/util/signal_handler.cpp
CXX src/caffe/util/benchmark.cpp
PROTOC src/caffe/proto/caffe.proto
CXX src/caffe/layer_factory.cpp
CXX src/caffe/net.cpp
CXX src/caffe/util/im2col.cpp
CXX src/caffe/util/insert_splits.cpp
In file included from ./include/caffe/util/device_alternate.hpp:40:0,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/util/math_functions.hpp:9,
                 from src/caffe/util/im2col.cpp:4:
./include/caffe/util/cudnn.hpp: In function ‘const char* cudnnGetErrorString(cudnnStatus_t)’:
./include/caffe/util/cudnn.hpp:23:10: warning: enumeration value ‘CUDNN_STATUS_RUNTIME_PREREQUISITE_MISSING’ not handled in switch [-Wswitch]
   switch (status) {
          ^
./include/caffe/util/cudnn.hpp: In function ‘void caffe::cudnn::setConvolutionDesc(cudnnConvolutionStruct**, cudnnTensorDescriptor_t, cudnnFilterDescriptor_t, int, int, int, int)’:
./include/caffe/util/cudnn.hpp:162:70: error: too few arguments to function ‘cudnnStatus_t cudnnSetConvolution2dDescriptor(cudnnConvolutionDescriptor_t, int, int, int, int, int, int, cudnnConvolutionMode_t, cudnnDataType_t)’
       pad_h, pad_w, stride_h, stride_w, 1, 1, CUDNN_CROSS_CORRELATION));
                                                                      ^
./include/caffe/util/cudnn.hpp:17:28: note: in definition of macro ‘CUDNN_CHECK’
     cudnnStatus_t status = condition; \
                            ^
In file included from ./include/caffe/util/cudnn.hpp:5:0,
                 from ./include/caffe/util/device_alternate.hpp:40,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/util/math_functions.hpp:9,
                 from src/caffe/util/im2col.cpp:4:
/usr/local/cuda/include/cudnn.h:500:27: note: declared here
 cudnnStatus_t CUDNNWINAPI cudnnSetConvolution2dDescriptor( cudnnConvolutionDescriptor_t convDesc,
                           ^
In file included from ./include/caffe/util/device_alternate.hpp:40:0,
                 from ./include/caffe/common.hpp:19,
                 from src/caffe/util/insert_splits.cpp:7:
./include/caffe/util/cudnn.hpp: In function ‘const char* cudnnGetErrorString(cudnnStatus_t)’:
./include/caffe/util/cudnn.hpp:23:10: warning: enumeration value ‘CUDNN_STATUS_RUNTIME_PREREQUISITE_MISSING’ not handled in switch [-Wswitch]
   switch (status) {
          ^
./include/caffe/util/cudnn.hpp: In function ‘void caffe::cudnn::setConvolutionDesc(cudnnConvolutionStruct**, cudnnTensorDescriptor_t, cudnnFilterDescriptor_t, int, int, int, int)’:
./include/caffe/util/cudnn.hpp:162:70: error: too few arguments to function ‘cudnnStatus_t cudnnSetConvolution2dDescriptor(cudnnConvolutionDescriptor_t, int, int, int, int, int, int, cudnnConvolutionMode_t, cudnnDataType_t)’
       pad_h, pad_w, stride_h, stride_w, 1, 1, CUDNN_CROSS_CORRELATION));
                                                                      ^
./include/caffe/util/cudnn.hpp:17:28: note: in definition of macro ‘CUDNN_CHECK’
     cudnnStatus_t status = condition; \
                            ^
In file included from ./include/caffe/util/cudnn.hpp:5:0,
                 from ./include/caffe/util/device_alternate.hpp:40,
                 from ./include/caffe/common.hpp:19,
                 from src/caffe/util/insert_splits.cpp:7:
/usr/local/cuda/include/cudnn.h:500:27: note: declared here
 cudnnStatus_t CUDNNWINAPI cudnnSetConvolution2dDescriptor( cudnnConvolutionDescriptor_t convDesc,
                           ^
In file included from ./include/caffe/util/device_alternate.hpp:40:0,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/util/db.hpp:6,
                 from ./include/caffe/util/db_lmdb.hpp:10,
                 from src/caffe/util/db_lmdb.cpp:2:
./include/caffe/util/cudnn.hpp: In function ‘const char* cudnnGetErrorString(cudnnStatus_t)’:
./include/caffe/util/cudnn.hpp:23:10: warning: enumeration value ‘CUDNN_STATUS_RUNTIME_PREREQUISITE_MISSING’ not handled in switch [-Wswitch]
   switch (status) {
          ^
./include/caffe/util/cudnn.hpp: In function ‘void caffe::cudnn::setConvolutionDesc(cudnnConvolutionStruct**, cudnnTensorDescriptor_t, cudnnFilterDescriptor_t, int, int, int, int)’:
./include/caffe/util/cudnn.hpp:162:70: error: too few arguments to function ‘cudnnStatus_t cudnnSetConvolution2dDescriptor(cudnnConvolutionDescriptor_t, int, int, int, int, int, int, cudnnConvolutionMode_t, cudnnDataType_t)’
       pad_h, pad_w, stride_h, stride_w, 1, 1, CUDNN_CROSS_CORRELATION));
                                                                      ^
./include/caffe/util/cudnn.hpp:17:28: note: in definition of macro ‘CUDNN_CHECK’
     cudnnStatus_t status = condition; \
                            ^
In file included from ./include/caffe/util/cudnn.hpp:5:0,
                 from ./include/caffe/util/device_alternate.hpp:40,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/util/db.hpp:6,
                 from ./include/caffe/util/db_lmdb.hpp:10,
                 from src/caffe/util/db_lmdb.cpp:2:
/usr/local/cuda/include/cudnn.h:500:27: note: declared here
 cudnnStatus_t CUDNNWINAPI cudnnSetConvolution2dDescriptor( cudnnConvolutionDescriptor_t convDesc,
                           ^
Makefile:583: recipe for target '/home/dlr/build_master_release/src/caffe/util/im2col.o' failed
make: *** [/home/dlr/build_master_release/src/caffe/util/im2col.o] Error 1
make: *** Waiting for unfinished jobs....
Makefile:583: recipe for target '/home/dlr/build_master_release/src/caffe/util/db_lmdb.o' failed
make: *** [/home/dlr/build_master_release/src/caffe/util/db_lmdb.o] Error 1
Makefile:583: recipe for target '/home/dlr/build_master_release/src/caffe/util/insert_splits.o' failed
make: *** [/home/dlr/build_master_release/src/caffe/util/insert_splits.o] Error 1
In file included from ./include/caffe/util/device_alternate.hpp:40:0,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/blob.hpp:8,
                 from ./include/caffe/net.hpp:10,
                 from ./include/caffe/solver.hpp:7,
                 from ./include/caffe/util/signal_handler.h:5,
                 from src/caffe/util/signal_handler.cpp:7:
./include/caffe/util/cudnn.hpp: In function ‘const char* cudnnGetErrorString(cudnnStatus_t)’:
./include/caffe/util/cudnn.hpp:23:10: warning: enumeration value ‘CUDNN_STATUS_RUNTIME_PREREQUISITE_MISSING’ not handled in switch [-Wswitch]
   switch (status) {
          ^
./include/caffe/util/cudnn.hpp: In function ‘void caffe::cudnn::setConvolutionDesc(cudnnConvolutionStruct**, cudnnTensorDescriptor_t, cudnnFilterDescriptor_t, int, int, int, int)’:
./include/caffe/util/cudnn.hpp:162:70: error: too few arguments to function ‘cudnnStatus_t cudnnSetConvolution2dDescriptor(cudnnConvolutionDescriptor_t, int, int, int, int, int, int, cudnnConvolutionMode_t, cudnnDataType_t)’
       pad_h, pad_w, stride_h, stride_w, 1, 1, CUDNN_CROSS_CORRELATION));
                                                                      ^
./include/caffe/util/cudnn.hpp:17:28: note: in definition of macro ‘CUDNN_CHECK’
     cudnnStatus_t status = condition; \
                            ^
In file included from ./include/caffe/util/cudnn.hpp:5:0,
                 from ./include/caffe/util/device_alternate.hpp:40,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/blob.hpp:8,
                 from ./include/caffe/net.hpp:10,
                 from ./include/caffe/solver.hpp:7,
                 from ./include/caffe/util/signal_handler.h:5,
                 from src/caffe/util/signal_handler.cpp:7:
/usr/local/cuda/include/cudnn.h:500:27: note: declared here
 cudnnStatus_t CUDNNWINAPI cudnnSetConvolution2dDescriptor( cudnnConvolutionDescriptor_t convDesc,
                           ^
Makefile:583: recipe for target '/home/dlr/build_master_release/src/caffe/util/signal_handler.o' failed
make: *** [/home/dlr/build_master_release/src/caffe/util/signal_handler.o] Error 1
In file included from ./include/caffe/util/device_alternate.hpp:40:0,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/internal_thread.hpp:4,
                 from src/caffe/internal_thread.cpp:4:
./include/caffe/util/cudnn.hpp: In function ‘const char* cudnnGetErrorString(cudnnStatus_t)’:
./include/caffe/util/cudnn.hpp:23:10: warning: enumeration value ‘CUDNN_STATUS_RUNTIME_PREREQUISITE_MISSING’ not handled in switch [-Wswitch]
   switch (status) {
          ^
./include/caffe/util/cudnn.hpp: In function ‘void caffe::cudnn::setConvolutionDesc(cudnnConvolutionStruct**, cudnnTensorDescriptor_t, cudnnFilterDescriptor_t, int, int, int, int)’:
./include/caffe/util/cudnn.hpp:162:70: error: too few arguments to function ‘cudnnStatus_t cudnnSetConvolution2dDescriptor(cudnnConvolutionDescriptor_t, int, int, int, int, int, int, cudnnConvolutionMode_t, cudnnDataType_t)’
       pad_h, pad_w, stride_h, stride_w, 1, 1, CUDNN_CROSS_CORRELATION));
                                                                      ^
./include/caffe/util/cudnn.hpp:17:28: note: in definition of macro ‘CUDNN_CHECK’
     cudnnStatus_t status = condition; \
                            ^
In file included from ./include/caffe/util/cudnn.hpp:5:0,
                 from ./include/caffe/util/device_alternate.hpp:40,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/internal_thread.hpp:4,
                 from src/caffe/internal_thread.cpp:4:
/usr/local/cuda/include/cudnn.h:500:27: note: declared here
 cudnnStatus_t CUDNNWINAPI cudnnSetConvolution2dDescriptor( cudnnConvolutionDescriptor_t convDesc,
                           ^
Makefile:583: recipe for target '/home/dlr/build_master_release/src/caffe/internal_thread.o' failed
make: *** [/home/dlr/build_master_release/src/caffe/internal_thread.o] Error 1
In file included from ./include/caffe/util/device_alternate.hpp:40:0,
                 from ./include/caffe/common.hpp:19,
                 from src/caffe/util/benchmark.cpp:3:
./include/caffe/util/cudnn.hpp: In function ‘const char* cudnnGetErrorString(cudnnStatus_t)’:
./include/caffe/util/cudnn.hpp:23:10: warning: enumeration value ‘CUDNN_STATUS_RUNTIME_PREREQUISITE_MISSING’ not handled in switch [-Wswitch]
   switch (status) {
          ^
./include/caffe/util/cudnn.hpp: In function ‘void caffe::cudnn::setConvolutionDesc(cudnnConvolutionStruct**, cudnnTensorDescriptor_t, cudnnFilterDescriptor_t, int, int, int, int)’:
./include/caffe/util/cudnn.hpp:162:70: error: too few arguments to function ‘cudnnStatus_t cudnnSetConvolution2dDescriptor(cudnnConvolutionDescriptor_t, int, int, int, int, int, int, cudnnConvolutionMode_t, cudnnDataType_t)’
       pad_h, pad_w, stride_h, stride_w, 1, 1, CUDNN_CROSS_CORRELATION));
                                                                      ^
./include/caffe/util/cudnn.hpp:17:28: note: in definition of macro ‘CUDNN_CHECK’
     cudnnStatus_t status = condition; \
                            ^
In file included from ./include/caffe/util/cudnn.hpp:5:0,
                 from ./include/caffe/util/device_alternate.hpp:40,
                 from ./include/caffe/common.hpp:19,
                 from src/caffe/util/benchmark.cpp:3:
/usr/local/cuda/include/cudnn.h:500:27: note: declared here
 cudnnStatus_t CUDNNWINAPI cudnnSetConvolution2dDescriptor( cudnnConvolutionDescriptor_t convDesc,
                           ^
Makefile:583: recipe for target '/home/dlr/build_master_release/src/caffe/util/benchmark.o' failed
make: *** [/home/dlr/build_master_release/src/caffe/util/benchmark.o] Error 1
In file included from ./include/caffe/util/device_alternate.hpp:40:0,
                 from ./include/caffe/common.hpp:19,
                 from src/caffe/net.cpp:10:
./include/caffe/util/cudnn.hpp: In function ‘const char* cudnnGetErrorString(cudnnStatus_t)’:
./include/caffe/util/cudnn.hpp:23:10: warning: enumeration value ‘CUDNN_STATUS_RUNTIME_PREREQUISITE_MISSING’ not handled in switch [-Wswitch]
   switch (status) {
          ^
./include/caffe/util/cudnn.hpp: In function ‘void caffe::cudnn::setConvolutionDesc(cudnnConvolutionStruct**, cudnnTensorDescriptor_t, cudnnFilterDescriptor_t, int, int, int, int)’:
./include/caffe/util/cudnn.hpp:162:70: error: too few arguments to function ‘cudnnStatus_t cudnnSetConvolution2dDescriptor(cudnnConvolutionDescriptor_t, int, int, int, int, int, int, cudnnConvolutionMode_t, cudnnDataType_t)’
       pad_h, pad_w, stride_h, stride_w, 1, 1, CUDNN_CROSS_CORRELATION));
                                                                      ^
./include/caffe/util/cudnn.hpp:17:28: note: in definition of macro ‘CUDNN_CHECK’
     cudnnStatus_t status = condition; \
                            ^
In file included from ./include/caffe/util/cudnn.hpp:5:0,
                 from ./include/caffe/util/device_alternate.hpp:40,
                 from ./include/caffe/common.hpp:19,
                 from src/caffe/net.cpp:10:
/usr/local/cuda/include/cudnn.h:500:27: note: declared here
 cudnnStatus_t CUDNNWINAPI cudnnSetConvolution2dDescriptor( cudnnConvolutionDescriptor_t convDesc,
                           ^
Makefile:583: recipe for target '/home/dlr/build_master_release/src/caffe/net.o' failed
make: *** [/home/dlr/build_master_release/src/caffe/net.o] Error 1
In file included from ./include/caffe/util/device_alternate.hpp:40:0,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/blob.hpp:8,
                 from ./include/caffe/layer.hpp:8,
                 from src/caffe/layer_factory.cpp:8:
./include/caffe/util/cudnn.hpp: In function ‘const char* cudnnGetErrorString(cudnnStatus_t)’:
./include/caffe/util/cudnn.hpp:23:10: warning: enumeration value ‘CUDNN_STATUS_RUNTIME_PREREQUISITE_MISSING’ not handled in switch [-Wswitch]
   switch (status) {
          ^
./include/caffe/util/cudnn.hpp: In function ‘void caffe::cudnn::setConvolutionDesc(cudnnConvolutionStruct**, cudnnTensorDescriptor_t, cudnnFilterDescriptor_t, int, int, int, int)’:
./include/caffe/util/cudnn.hpp:162:70: error: too few arguments to function ‘cudnnStatus_t cudnnSetConvolution2dDescriptor(cudnnConvolutionDescriptor_t, int, int, int, int, int, int, cudnnConvolutionMode_t, cudnnDataType_t)’
       pad_h, pad_w, stride_h, stride_w, 1, 1, CUDNN_CROSS_CORRELATION));
                                                                      ^
./include/caffe/util/cudnn.hpp:17:28: note: in definition of macro ‘CUDNN_CHECK’
     cudnnStatus_t status = condition; \
                            ^
In file included from ./include/caffe/util/cudnn.hpp:5:0,
                 from ./include/caffe/util/device_alternate.hpp:40,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/blob.hpp:8,
                 from ./include/caffe/layer.hpp:8,
                 from src/caffe/layer_factory.cpp:8:
/usr/local/cuda/include/cudnn.h:500:27: note: declared here
 cudnnStatus_t CUDNNWINAPI cudnnSetConvolution2dDescriptor( cudnnConvolutionDescriptor_t convDesc,
                           ^
src/caffe/layer_factory.cpp: In function ‘boost::shared_ptr<caffe::Layer<Dtype> > caffe::GetTanHLayer(const caffe::LayerParameter&) [with Dtype = double]’:
src/caffe/layer_factory.cpp:239:1: warning: control reaches end of non-void function [-Wreturn-type]
 }
 ^
src/caffe/layer_factory.cpp: In function ‘boost::shared_ptr<caffe::Layer<Dtype> > caffe::GetTanHLayer(const caffe::LayerParameter&) [with Dtype = float]’:
src/caffe/layer_factory.cpp:239:1: warning: control reaches end of non-void function [-Wreturn-type]
 }
 ^
src/caffe/layer_factory.cpp: In function ‘boost::shared_ptr<caffe::Layer<Dtype> > caffe::GetSoftmaxLayer(const caffe::LayerParameter&) [with Dtype = double]’:
src/caffe/layer_factory.cpp:216:1: warning: control reaches end of non-void function [-Wreturn-type]
 }
 ^
src/caffe/layer_factory.cpp: In function ‘boost::shared_ptr<caffe::Layer<Dtype> > caffe::GetSoftmaxLayer(const caffe::LayerParameter&) [with Dtype = float]’:
src/caffe/layer_factory.cpp:216:1: warning: control reaches end of non-void function [-Wreturn-type]
 }
 ^
src/caffe/layer_factory.cpp: In function ‘boost::shared_ptr<caffe::Layer<Dtype> > caffe::GetSigmoidLayer(const caffe::LayerParameter&) [with Dtype = double]’:
src/caffe/layer_factory.cpp:193:1: warning: control reaches end of non-void function [-Wreturn-type]
 }
 ^
src/caffe/layer_factory.cpp: In function ‘boost::shared_ptr<caffe::Layer<Dtype> > caffe::GetSigmoidLayer(const caffe::LayerParameter&) [with Dtype = float]’:
src/caffe/layer_factory.cpp:193:1: warning: control reaches end of non-void function [-Wreturn-type]
 }
 ^
src/caffe/layer_factory.cpp: In function ‘boost::shared_ptr<caffe::Layer<Dtype> > caffe::GetReLULayer(const caffe::LayerParameter&) [with Dtype = double]’:
src/caffe/layer_factory.cpp:170:1: warning: control reaches end of non-void function [-Wreturn-type]
 }
 ^
src/caffe/layer_factory.cpp: In function ‘boost::shared_ptr<caffe::Layer<Dtype> > caffe::GetReLULayer(const caffe::LayerParameter&) [with Dtype = float]’:
src/caffe/layer_factory.cpp:170:1: warning: control reaches end of non-void function [-Wreturn-type]
 }
 ^
src/caffe/layer_factory.cpp: In function ‘boost::shared_ptr<caffe::Layer<Dtype> > caffe::GetLRNLayer(const caffe::LayerParameter&) [with Dtype = double]’:
src/caffe/layer_factory.cpp:147:1: warning: control reaches end of non-void function [-Wreturn-type]
 }
 ^
src/caffe/layer_factory.cpp: In function ‘boost::shared_ptr<caffe::Layer<Dtype> > caffe::GetLRNLayer(const caffe::LayerParameter&) [with Dtype = float]’:
src/caffe/layer_factory.cpp:147:1: warning: control reaches end of non-void function [-Wreturn-type]
 }
 ^
src/caffe/layer_factory.cpp: In function ‘boost::shared_ptr<caffe::Layer<Dtype> > caffe::GetPoolingLayer(const caffe::LayerParameter&) [with Dtype = double]’:
src/caffe/layer_factory.cpp:110:1: warning: control reaches end of non-void function [-Wreturn-type]
 }
 ^
src/caffe/layer_factory.cpp: In function ‘boost::shared_ptr<caffe::Layer<Dtype> > caffe::GetPoolingLayer(const caffe::LayerParameter&) [with Dtype = float]’:
src/caffe/layer_factory.cpp:110:1: warning: control reaches end of non-void function [-Wreturn-type]
 }
 ^
src/caffe/layer_factory.cpp: In function ‘boost::shared_ptr<caffe::Layer<Dtype> > caffe::GetConvolutionLayer(const caffe::LayerParameter&) [with Dtype = double]’:
src/caffe/layer_factory.cpp:71:1: warning: control reaches end of non-void function [-Wreturn-type]
 }
 ^
src/caffe/layer_factory.cpp: In function ‘boost::shared_ptr<caffe::Layer<Dtype> > caffe::GetConvolutionLayer(const caffe::LayerParameter&) [with Dtype = float]’:
src/caffe/layer_factory.cpp:71:1: warning: control reaches end of non-void function [-Wreturn-type]
 }
 ^
Makefile:583: recipe for target '/home/dlr/build_master_release/src/caffe/layer_factory.o' failed
make: *** [/home/dlr/build_master_release/src/caffe/layer_factory.o] Error 1

在github上找到解决放方法：

https://github.com/BVLC/caffe/issues/5793#issuecomment-404729152

翻过了第一个bug，下面有出错了：

CXX src/caffe/internal_thread.cpp
CXX src/caffe/util/im2col.cpp
CXX src/caffe/net.cpp
PROTOC src/caffe/proto/caffe.proto
CXX src/caffe/util/db_lmdb.cpp
CXX src/caffe/layer_factory.cpp
CXX src/caffe/util/benchmark.cpp
CXX src/caffe/util/signal_handler.cpp
CXX src/caffe/util/insert_splits.cpp
CXX src/caffe/util/db_leveldb.cpp
CXX src/caffe/util/cudnn.cpp
CXX src/caffe/util/blocking_queue.cpp
CXX src/caffe/util/db.cpp
CXX src/caffe/util/math_functions.cpp
CXX src/caffe/util/io.cpp
CXX src/caffe/util/upgrade_proto.cpp
CXX src/caffe/util/hdf5.cpp
CXX src/caffe/layers/prelu_layer.cpp
CXX src/caffe/layers/lrn_layer.cpp
CXX src/caffe/layers/eltwise_layer.cpp
CXX src/caffe/layers/softmax_layer.cpp
CXX src/caffe/layers/batch_reindex_layer.cpp
CXX src/caffe/layers/neuron_layer.cpp
CXX src/caffe/layers/image_data_layer.cpp
CXX src/caffe/layers/concat_layer.cpp
CXX src/caffe/layers/bnll_layer.cpp
CXX src/caffe/layers/cudnn_softmax_layer.cpp
CXX src/caffe/layers/power_layer.cpp
CXX src/caffe/layers/hinge_loss_layer.cpp
CXX src/caffe/layers/euclidean_loss_layer.cpp
CXX src/caffe/layers/slice_layer.cpp
CXX src/caffe/layers/cudnn_relu_layer.cpp
CXX src/caffe/layers/tile_layer.cpp
CXX src/caffe/layers/base_data_layer.cpp
CXX src/caffe/layers/hdf5_data_layer.cpp
src/caffe/layers/cudnn_relu_layer.cpp: In member function ‘virtual void caffe::CuDNNReLULayer<Dtype>::LayerSetUp(const std::vector<caffe::Blob<Dtype>*>&, const std::vector<caffe::Blob<Dtype>*>&)’:
src/caffe/layers/cudnn_relu_layer.cpp:14:3: error: ‘createTensorDesc’ is not a member of ‘caffe::cudnn’
   cudnn::createTensorDesc<Dtype>(&bottom_desc_);
   ^
src/caffe/layers/cudnn_relu_layer.cpp:14:32: error: expected primary-expression before ‘>’ token
   cudnn::createTensorDesc<Dtype>(&bottom_desc_);
                                ^
src/caffe/layers/cudnn_relu_layer.cpp:15:3: error: ‘createTensorDesc’ is not a member of ‘caffe::cudnn’
   cudnn::createTensorDesc<Dtype>(&top_desc_);
   ^
src/caffe/layers/cudnn_relu_layer.cpp:15:32: error: expected primary-expression before ‘>’ token
   cudnn::createTensorDesc<Dtype>(&top_desc_);
                                ^
src/caffe/layers/cudnn_relu_layer.cpp: In member function ‘virtual void caffe::CuDNNReLULayer<Dtype>::Reshape(const std::vector<caffe::Blob<Dtype>*>&, const std::vector<caffe::Blob<Dtype>*>&)’:
src/caffe/layers/cudnn_relu_layer.cpp:24:3: error: ‘setTensorNdDesc’ is not a member of ‘caffe::cudnn’
   cudnn::setTensorNdDesc<Dtype>(&bottom_desc_, bottom[0]->shape());
   ^
src/caffe/layers/cudnn_relu_layer.cpp:24:31: error: expected primary-expression before ‘>’ token
   cudnn::setTensorNdDesc<Dtype>(&bottom_desc_, bottom[0]->shape());
                               ^
src/caffe/layers/cudnn_relu_layer.cpp:25:3: error: ‘setTensorNdDesc’ is not a member of ‘caffe::cudnn’
   cudnn::setTensorNdDesc<Dtype>(&top_desc_, bottom[0]->shape());
   ^
src/caffe/layers/cudnn_relu_layer.cpp:25:31: error: expected primary-expression before ‘>’ token
   cudnn::setTensorNdDesc<Dtype>(&top_desc_, bottom[0]->shape());
                               ^
src/caffe/layers/cudnn_relu_layer.cpp: In instantiation of ‘void caffe::CuDNNReLULayer<Dtype>::Reshape(const std::vector<caffe::Blob<Dtype>*>&, const std::vector<caffe::Blob<Dtype>*>&) [with Dtype = float]’:
src/caffe/layers/cudnn_relu_layer.cpp:38:1:   required from here
src/caffe/layers/cudnn_relu_layer.cpp:24:46: warning: left operand of comma operator has no effect [-Wunused-value]
   cudnn::setTensorNdDesc<Dtype>(&bottom_desc_, bottom[0]->shape());
                                              ^
src/caffe/layers/cudnn_relu_layer.cpp:25:43: warning: left operand of comma operator has no effect [-Wunused-value]
   cudnn::setTensorNdDesc<Dtype>(&top_desc_, bottom[0]->shape());
                                           ^
src/caffe/layers/cudnn_relu_layer.cpp: In instantiation of ‘void caffe::CuDNNReLULayer<Dtype>::Reshape(const std::vector<caffe::Blob<Dtype>*>&, const std::vector<caffe::Blob<Dtype>*>&) [with Dtype = double]’:
src/caffe/layers/cudnn_relu_layer.cpp:38:1:   required from here
src/caffe/layers/cudnn_relu_layer.cpp:24:46: warning: left operand of comma operator has no effect [-Wunused-value]
   cudnn::setTensorNdDesc<Dtype>(&bottom_desc_, bottom[0]->shape());
                                              ^
src/caffe/layers/cudnn_relu_layer.cpp:25:43: warning: left operand of comma operator has no effect [-Wunused-value]
   cudnn::setTensorNdDesc<Dtype>(&top_desc_, bottom[0]->shape());
                                           ^
Makefile:583: recipe for target '/home/dlr/Project/sscnet/caffe_code/caffe3d_suncg/build_master_release/src/caffe/layers/cudnn_relu_layer.o' failed
make: *** [/home/dlr/Project/sscnet/caffe_code/caffe3d_suncg/build_master_release/src/caffe/layers/cudnn_relu_layer.o] Error 1
make: *** Waiting for unfinished jobs....

https://blog.csdn.net/qq_15505637/article/details/78423233

https://github.com/BVLC/caffe/issues/6139#issuecomment-407317661

注意的是SSCNet作者提到caffe
经历了两天，终于到了最后的一步

https://github.com/muupan/dqn-in-the-caffe/issues/3#issuecomment-70795202

编译时避免多版本protobuf 冲突；

conda uninstall protobuf
conda uninstall libprotobuf

但注意在pycaffe编译成功后再装回来，否则import caffe会报错找不到google.protobuf

conda install libprotobuf

https://github.com/BVLC/caffe/issues/3046#issuecomment-316606472
(可能我这样有些暴力。。)

接着可以开始运行demo了：

python demotest_model.py

然而又有新bug：

图 1.png

E1031 20:10:34.877794 22173 common.cpp:113] Cannot create Cublas handle. Cublas won't be available.
F1031 20:10:35.117483 22163 cudnn_conv_layer.cpp:53] Check failed: status == CUDNN_STATUS_SUCCESS (4 vs. 0)  CUDNN_STATUS_INTERNAL_ERROR
*** Check failure stack trace: ***
Aborted (core dumped)
解决方法 注释掉 Cudnn模式，从新编译。。（虽然不治本吧）

解决了：https://devtalk.nvidia.com/default/topic/1007071/cuda-setup-and-installation/cuda-error-when-running-matrixmulcublas-sample-ubuntu-16-04/

sudo rm -rf .nv/

运行demo时，遇到问题

图 2.png
参考：https://github.com/shurans/sscnet/issues/28#issue-278987264 （也是暴力的方法）
然后重新编译

但是遇到了之前解决好的问题：

图 3.png

而且之前的解决方法无效了？？

export LD_LIBRARY_PATH=/home/dlr/Project/sscnet/caffe_code/caffe3d_suncg/build_master_release/lib:/home/dlr/Downloads/cuda8_5.1/lib64:~/anaconda3/lib:$LD_LIBRARY_PATH
export PYTHONPATH=/home/dlr/Project/sscnet/caffe_code/caffe3d_suncg/build_master_release/python:$PYTHONPATH

参考https://github.com/BVLC/caffe/issues/5170#issuecomment-271965791
对于python3，编译caffe时要选择对应版本的protobuf，于是安装protobuf-3.6.0
参考：http://blog.const.net.cn/a/19247.htm
https://github.com/protocolbuffers/protobuf/releases
重新编译，编译通过，但在make pycaffe出现新问题：

图 4.png

好吧，放弃py3.6，在anoconda py2.7虚拟环境重新来过：

git clone https://github.com/shurans/sscnet

经过py2.7实验，发现还是卡到上个相同问题，不过原因是不匹配的protobuf版本，我把安装的protobuf3.6.0卸载了：

#在protobuf下载的包的位置
make clean
make uninstall

缺少 caffe_pb.h:
https://github.com/BVLC/caffe/issues/1761
兜兜转转，再次用同样办法解决图4的问题

打算直接注释对应blob.cpp的语句。重新编译，然而：

图 5

这个问题一度让我绝望，可是在看了
https://blog.csdn.net/e01528/article/details/80636867
后，激发了灵感，这个问题在于：
在~/Project/sscnet/caffe_code/caffe3d_suncg/build_master_release/python中没有caffe_pb2.py,经过在caffe3d_suncg下搜索，位于
~/Project/sscnet/caffe_code/caffe3d_suncg/python/caffe/proto/caffe_pb2.py
应该要保证~/Project/sscnet/caffe_code/caffe3d_suncg/build_master_release/python/caffe/proto/下有caffe_pb2.py，只要从上面的位置复制过来就成功了
还有注意

conda install protobuf==2.6.1

终于import caffe 成功！

图 6

Ubuntu 16.04 CUDA8.0 CUDNN6.0 Ca

Let us go~

相关tips

一、安装依赖

二、编译

2.1 编译前的操作

2.2 正式编译

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