Hi,
I am trying to build the caffe fp16 version on a Tegra X1 platform.
Following is the error that happens. I have tried using make all -j3, make all -j2, when building. I am installing it over ssh. Can anyone give me some pointers to what might be causing it?
[ 80%] Building CXX object src/caffe/CMakeFiles/caffe.dir/util/hdf5.cpp.o
[ 80%] Building CXX object src/caffe/CMakeFiles/caffe.dir/util/signal_handler.cpp.o
[ 81%] Building CXX object src/caffe/CMakeFiles/caffe.dir/util/db_lmdb.cpp.o
[ 81%] Building CXX object src/caffe/CMakeFiles/caffe.dir/util/io.cpp.o
[ 82%] Building CXX object src/caffe/CMakeFiles/caffe.dir/util/db.cpp.o
[ 82%] Building CXX object src/caffe/CMakeFiles/caffe.dir/util/gpu_memory.cpp.o
[ 82%] Building CXX object src/caffe/CMakeFiles/caffe.dir/util/db_leveldb.cpp.o
[ 84%] Building CXX object src/caffe/CMakeFiles/caffe.dir/util/insert_splits.cpp.o
[ 84%] Building CXX object src/caffe/CMakeFiles/caffe.dir/util/benchmark.cpp.o
/tmp/ccof9TBz.s: Assembler messages:
/tmp/ccof9TBz.s:1309: Error: unknown mnemonic `pause' -- `pause'
/tmp/ccof9TBz.s:1742: Error: unknown mnemonic `pause' -- `pause'
/tmp/ccof9TBz.s:2188: Error: unknown mnemonic `pause' -- `pause'
/tmp/ccof9TBz.s:2951: Error: unknown mnemonic `pause' -- `pause'
/tmp/ccof9TBz.s:3859: Error: unknown mnemonic `pause' -- `pause'
/tmp/ccof9TBz.s:4063: Error: unknown mnemonic `pause' -- `pause'
/tmp/ccof9TBz.s:4948: Error: unknown mnemonic `pause' -- `pause'
src/caffe/CMakeFiles/caffe.dir/build.make:2232: recipe for target 'src/caffe/CMakeFiles/caffe.dir/util/gpu_memory.cpp.o' failed
make[2]: *** [src/caffe/CMakeFiles/caffe.dir/util/gpu_memory.cpp.o] Error 1
make[2]: *** Waiting for unfinished jobs....
CMakeFiles/Makefile2:218: recipe for target 'src/caffe/CMakeFiles/caffe.dir/all' failed
make[1]: *** [src/caffe/CMakeFiles/caffe.dir/all] Error 2
Makefile:117: recipe for target 'all' failed
make: *** [all] Error 2
jachen
June 17, 2016, 8:08am
2
Hello, tousif111:
I guess you are using 64bit, right?
in file “3rdparty/cub/cub/host/spinlock.cuh”
it only contains #ifndef arm
you can comment out the following ‘pause’ code. or change arm to aarch64
br
ChenJian
DJmimi
October 26, 2016, 10:04am
3
Hi ChenJian,
I have the same question and my GPU is P40 on a ppc64le system.
And I didn’t find “3rdparty/cub/cub/host/spinlock.cuh” in my caffe directory
which clone from NVIDIA official webpage on github.
Do you have any suggestion?
Thanks
BR
Mike
kayccc
November 24, 2016, 7:53am
4
Hi DJmimi,
For issue on other GPU than Tegra, you may post it to another board:
[url]https://devtalk.nvidia.com/default/board/55/gpu-accelerated-libraries/[/url]
Thanks
Hi,
CXX/LD -o .build_release/tools/convert_imageset.bin
CXX/LD -o .build_release/tools/extract_features.bin
CXX/LD -o .build_release/tools/compute_image_mean.bin
CXX/LD -o .build_release/tools/upgrade_net_proto_binary.bin
.build_release/lib/libcaffe-nv.so: undefined reference to cudnnSetConvolutionMathType' collect2: error: ld returned 1 exit status Makefile:657: recipe for target '.build_release/tools/convert_imageset.bin' failed make: *** [.build_release/tools/convert_imageset.bin] Error 1 make: *** Waiting for unfinished jobs.... .build_release/lib/libcaffe-nv.so: undefined reference to
cudnnSetConvolutionMathType’
collect2: error: ld returned 1 exit status
Makefile:657: recipe for target ‘.build_release/tools/upgrade_net_proto_binary.bin’ failed
make: *** [.build_release/tools/upgrade_net_proto_binary.bin] Error 1
.build_release/lib/libcaffe-nv.so: undefined reference to cudnnSetConvolutionMathType' collect2: error: ld returned 1 exit status .build_release/lib/libcaffe-nv.so: undefined reference to
cudnnSetConvolutionMathType’
collect2: error: ld returned 1 exit status
Makefile:657: recipe for target ‘.build_release/tools/compute_image_mean.bin’ failed
make: *** [.build_release/tools/compute_image_mean.bin] Error 1
Makefile:657: recipe for target ‘.build_release/tools/extract_features.bin’ failed
make: *** [.build_release/tools/extract_features.bin] Error 1
How can I solve this error?
kayccc
February 8, 2018, 2:54am
6
Hi Pratosha,
It seems your issue got resolved from below link, if not, please file a new topic with clear description.
[url]Install cuDNN from deb - cuDNN - NVIDIA Developer Forums
Thanks