[Linuxppc-users] Caffe compilation failed

[Gerrit Huizenga [Notes]]

Current build instructions for ppc64le are here:
https://github.com/ppc64le/build-scripts/tree/master/caffe


gerrit

--
"Only those who will risk going too far can possibly find out how far one
can go." ~ T. S. Eliot

Gerrit Huizenga, STSM
Power Open Source Ecosystem Lead
gerrit at us.ibm.com



From:	Frederic DUMOULIN <frederic.dumoulin at mipsology.com>
To:	linuxppc-users at lists.ozlabs.org
Date:	08/01/2017 07:38 AM
Subject:	[Linuxppc-users] Caffe compilation failed
Sent by:	"Linuxppc-users" <linuxppc-users-bounces
            +gerrit=us.ibm.com at lists.ozlabs.org>



Hi,

I'm trying to compil Caffe software following this steps
http://caffe.berkeleyvision.org/installation.html#compilation.
I need the CPU_ONLY flag to be OFF and USE_CUDNN to ON. In this mode
cuda files are compiled.

It seems that the cuda files can not be compiled with
/opt/at10.0/bin/gcc since the version is 6.3.1 whereas cuda headers
doen't support gcc > 5:
[  1%] Building NVCC (Device) object
src/caffe/CMakeFiles/cuda_compile.dir/solvers/cuda_compile_generated_adagrad_solver.cu.o

nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are
deprecated, and may be removed in a future release (Use
-Wno-deprecated-gpu-targets to suppress warning).
In file included from /usr/local/cuda/include/cuda_runtime.h:78:0,
                  from <command-line>:0:
/usr/local/cuda/include/host_config.h:119:2: error: #error --
unsupported GNU version! gcc versions later than 5 are not supported!
  #error -- unsupported GNU version! gcc versions later than 5 are not
supported!
   ^~~~~
CMake Error at cuda_compile_generated_adagrad_solver.cu.o.cmake:207
(message):

Here is the cmake configuration:
-- Boost version: 1.61.0
-- Found the following Boost libraries:
--   system
--   thread
--   filesystem
--   chrono
--   date_time
--   atomic
-- Found gflags  (include: /usr/include, library:
/usr/lib/powerpc64le-linux-gnu/libgflags.so)
-- Found glog    (include: /usr/include, library:
/usr/lib/powerpc64le-linux-gnu/libglog.so)
-- Found PROTOBUF Compiler: /usr/bin/protoc
-- Found lmdb    (include: /usr/include, library:
/usr/lib/powerpc64le-linux-gnu/liblmdb.so)
-- Found LevelDB (include: /usr/include, library:
/usr/lib/powerpc64le-linux-gnu/libleveldb.so)
-- Found Snappy  (include: /usr/include, library:
/usr/lib/powerpc64le-linux-gnu/libsnappy.so)
-- CUDA detected: 8.0
-- Found cuDNN: ver. 5.0.5 found (include: /usr/local/cuda/include,
library: /usr/local/cuda/lib64/libcudnn.so)
-- Automatic GPU detection failed. Building for all known architectures.
-- Added CUDA NVCC flags for: sm_20 sm_21 sm_30 sm_35 sm_50
-- OpenCV found (/usr/share/OpenCV)
-- Found Atlas (include: /usr/include, library: /usr/lib/libatlas.so)
-- NumPy ver. 1.11.0 found (include:
/usr/lib/python2.7/dist-packages/numpy/core/include)
-- Boost version: 1.61.0
-- Found the following Boost libraries:
--   python
-- Detected Doxygen OUTPUT_DIRECTORY: ./doxygen/
--
-- ******************* Caffe Configuration Summary *******************
-- General:
--   Version           :   1.0.0-rc3
--   Git               :   rc3-176-g790c2db
--   System            :   Linux
--   C++ compiler      :   /opt/at10.0/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. 1.61)
--   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. 2.4.9.1)
--   CUDA              :   Yes (ver. 8.0)
--
-- NVIDIA CUDA:
--   Target GPU(s)     :   Auto
--   GPU arch(s)       :   sm_20 sm_21 sm_30 sm_35 sm_50
--   cuDNN             :   Yes (ver. 5.0.5)

How can it be solved ?

Thanks,
Fred

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