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TimoSaemann / caffe-segnet-cudnn5

This repository was a fork of BVLC/caffe and includes the upsample, bn, dense_image_data and softmax_with_loss (with class weighting) layers of caffe-segnet (https://github.com/alexgkendall/caffe-segnet) to run SegNet with cuDNN version 5.
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Problems building #26

Open ShastriRam opened 6 years ago

ShastriRam commented 6 years ago

Hello, I am trying to run SegNet, so I cloned this repo. I am trying to build it and I am getting the following errors. I have modified the Makefile.config by uncommenting USE_CUDNN := 1 , then I have run the following commands:

mkdir build cd build cmake ..

After running cmake I get the following printed to terminal :

-- 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 -- Looking for pthread.h -- Looking for pthread.h - found -- Looking for pthread_create -- Looking for pthread_create - not found -- Looking for pthread_create in pthreads -- Looking for pthread_create in pthreads - not found -- Looking for pthread_create in pthread -- Looking for pthread_create in pthread - found -- Found Threads: TRUE
-- Boost version: 1.58.0 -- Found the following Boost libraries: -- system -- thread -- filesystem -- chrono -- date_time -- atomic -- 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: 8.0 -- Found cuDNN: ver. 6.0.21 found (include: /usr/local/cuda-8.0/include, library: /usr/local/cuda-8.0/lib64/libcudnn.so) -- Added CUDA NVCC flags for: sm_61 -- OpenCV found (/opt/ros/kinetic/share/OpenCV-3.3.1) -- Found Atlas: /usr/include
-- Found Atlas (include: /usr/include, library: /usr/lib/libatlas.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: /home/shastriram23/.local/lib/python2.7/site-packages/numpy/core/include (found suitable version "1.14.2", minimum required is "1.7.1") -- NumPy ver. 1.14.2 found (include: /home/shastriram23/.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) -- Found Git: /usr/bin/git (found version "2.7.4") -- -- Caffe Configuration Summary -- General: -- Version : 1.0.0-rc3 -- Git : abcf30d -- 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 -- ALLOW_LMDB_NOLOCK : OFF -- -- Dependencies: -- BLAS : Yes (Atlas) -- Boost : Yes (ver. 1.58) -- 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. 3.3.1) -- 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/shastriram23/.local/lib/python2.7/site-packages/numpy/core/include (ver 1.14.2) -- -- Documentaion: -- Doxygen : No -- config_file :
-- -- Install: -- Install path : /media/shastriram23/Data/UbuntuData/deepLearningTutorials/segNet/caffe-segnet-cudnn5/build/install -- -- Configuring done -- Generating done -- Build files have been written to: /media/shastriram23/Data/UbuntuData/deepLearningTutorials/segNet/caffe-segnet-cudnn5/build

When I run make all I get the following:

[ 0%] Running C++/Python protocol buffer compiler on /media/shastriram23/Data/UbuntuData/deepLearningTutorials/segNet/caffe-segnet-cudnn5/src/caffe/proto/caffe.proto Scanning dependencies of target proto [ 1%] Building CXX object src/caffe/CMakeFiles/proto.dir///include/caffe/proto/caffe.pb.cc.o [ 1%] Linking CXX static library ../../lib/libproto.a [ 1%] Built target proto [ 1%] Building NVCC (Device) object src/caffe/CMakeFiles/cuda_compile.dir/util/cuda_compile_generated_math_functions.cu.o /media/shastriram23/Data/UbuntuData/deepLearningTutorials/segNet/caffe-segnet-cudnn5/include/caffe/util/cudnn.hpp(112): error: too few arguments in function call

1 error detected in the compilation of "/tmp/tmpxft_00007817_00000000-5_math_functions.cpp4.ii". CMake Error at cuda_compile_generated_math_functions.cu.o.cmake:266 (message): Error generating file /media/shastriram23/Data/UbuntuData/deepLearningTutorials/segNet/caffe-segnet-cudnn5/build/src/caffe/CMakeFiles/cuda_compile.dir/util/./cuda_compile_generated_math_functions.cu.o

src/caffe/CMakeFiles/caffe.dir/build.make:483: recipe for target 'src/caffe/CMakeFiles/cuda_compile.dir/util/cuda_compile_generated_math_functions.cu.o' failed make[2]: [src/caffe/CMakeFiles/cuda_compile.dir/util/cuda_compile_generated_math_functions.cu.o] Error 1 CMakeFiles/Makefile2:272: recipe for target 'src/caffe/CMakeFiles/caffe.dir/all' failed make[1]: [src/caffe/CMakeFiles/caffe.dir/all] Error 2 Makefile:127: recipe for target 'all' failed make: *** [all] Error 2

Can someone help me out here? I really have no idea what's going wrong. I have previously installed caffe on my system and it build and runs fine. I am having problems with this caffe-segnet. I would really appreciate any help I could get since this is for my research. Thank you so much

ShastriRam commented 6 years ago

UPDATE: I apologize for the bolded large font code. I tried to change it, but I couldn't figure out how. I have been working at this and I decided to leave USE_CUDNN:=1 commented. It seemed to build fine. What does this mean however? Would I still be able to use my GPU?