GTX960M ubuntu16.04+cuda8.0+cudnn 7.1.4+opencv3.4.2+anaconda3 with python3.6.5+gcc 5.4
1. error: #error This file requires compiler and library support for the ISO C++ 2011 standard. This support must be enabled with the -std=c++11 or -std=gnu++11 compiler options. #error This file requires compiler and library support \
2. Makefile:597: recipe for target '.build_release/cuda/src/caffe/solvers/adagrad_solver.o' failed
make: *** [.build_release/cuda/src/caffe/solvers/adagrad_solver.o] Error 1
Makefile:597: recipe for target '.build_release/cuda/src/caffe/solvers/sgd_solver.o' failed
make: *** [.build_release/cuda/src/caffe/solvers/sgd_solver.o] Error 1
Makefile:597: recipe for target '.build_release/cuda/src/caffe/solvers/adadelta_solver.o' failed
make: *** [.build_release/cuda/src/caffe/solvers/adadelta_solver.o] Error 1
Makefile:597: recipe for target '.build_release/cuda/src/caffe/solvers/rmsprop_solver.o' failed
make: *** [.build_release/cuda/src/caffe/solvers/rmsprop_solver.o] Error 1
screenshot is as follows:
Any one has encountered these? Any one could help please?
Boost version: 1.58.0
Found the following Boost libraries:
system
thread
filesystem
chrono
date_time
atomic
Found gflags (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libgflags.so)
Found glog (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libglog.so)
Found PROTOBUF Compiler: /usr/local/bin/protoc
HDF5: Using hdf5 compiler wrapper to determine C configuration
HDF5: Using hdf5 compiler wrapper to determine CXX configuration
Found lmdb (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/liblmdb.so)
Found LevelDB (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libleveldb.so)
Found Snappy (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libsnappy.so)
CUDA detected: 8.0
Found cuDNN: ver. 6.0.21 found (include: /usr/local/cuda-8.0/include, library: /usr/local/cuda-8.0/lib/x86_64-linux-gnu/libcudnn.so)
Added CUDA NVCC flags for: sm_61
Found NCCL (include: /usr/include, library: /usr/lib/libnccl.so)
OpenCV found (/usr/local/share/OpenCV)
Found Atlas (include: /usr/include library: /usr/lib/libatlas.so lapack: /usr/lib/liblapack.so
NumPy ver. 1.14.3 found (include: /home/narvis/.local/lib/python2.7/site-packages/numpy/core/include)
Boost version: 1.58.0
Found the following Boost libraries:
python
Could NOT find Doxygen (missing: DOXYGEN_EXECUTABLE)
******************* Caffe Configuration Summary *******************
General:
Version : 1.0.0
Git : 1.0-117-g2a1c552-dirty
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 : ON
ALLOW_LMDB_NOLOCK : OFF
Dependencies:
BLAS : Yes (Atlas)
Boost : Yes (ver. 1.58)
glog : Yes
gflags : Yes
protobuf : Yes (ver. 3.6.0)
lmdb : Yes (ver. 0.9.17)
LevelDB : Yes (ver. 1.18)
Snappy : Yes (ver. 1.1.3)
OpenCV : Yes (ver. 3.4.2)
CUDA : Yes (ver. 8.0)
NVIDIA CUDA:
Target GPU(s) : Auto
GPU arch(s) : sm_61
cuDNN : Yes (ver. 6.0.21)
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 : /home/narvis/.local/lib/python2.7/site-packages/numpy/core/include (ver 1.14.3)
Documentaion:
Doxygen : No
config_file :
Install:
Install path : /home/narvis/Lib/caffe/build/install
Configuring done
Generating done
The C++ compiler for NVCC looks also fine:
lrwxrwxrwx 1 root root 20 Apr 18 13:04 cc -> /etc/alternatives/cc
narvis@narvis-System-Product-Name:/usr/bin$ ls -la /etc/alternatives/cc
lrwxrwxrwx 1 root root 12 Apr 18 13:04 /etc/alternatives/cc -> /usr/bin/gcc
narvis@narvis-System-Product-Name:/usr/bin$ /usr/bin/gcc --version
gcc (Ubuntu 5.4.0-6ubuntu1~16.04.10) 5.4.0 20160609
Copyright (C) 2015 Free Software Foundation, Inc.
This is free software; see the source for copying conditions. There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
I couldnt fix the issue yet. Does someone has a solution for this?