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Installing PyTorch on the Nvidia Jetson TX1/TX2

License: MIT License

pytorch jetson-tx1 jetson-tx2

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c++: error: unrecognized command line option ‘-mavx2’

[ 15%] Building CXX object src/ATen/CMakeFiles/ATen.dir/native/cpu/ReduceOpsKernel.cpp.AVX.cpp.o
c++: error: unrecognized command line option ‘-mavx2’
src/ATen/CMakeFiles/ATen.dir/build.make:81862: recipe for target 'src/ATen/CMakeFiles/ATen.dir/native/cpu/ReduceOpsKernel.cpp.AVX2.cpp.o' failed
make[2]: *** [src/ATen/CMakeFiles/ATen.dir/native/cpu/ReduceOpsKernel.cpp.AVX2.cpp.o] Error 1
make[2]: *** Waiting for unfinished jobs....
c++: error: unrecognized command line option ‘-mavx’
src/ATen/CMakeFiles/ATen.dir/build.make:81886: recipe for target 'src/ATen/CMakeFiles/ATen.dir/native/cpu/ReduceOpsKernel.cpp.AVX.cpp.o' failed
make[2]: *** [src/ATen/CMakeFiles/ATen.dir/native/cpu/ReduceOpsKernel.cpp.AVX.cpp.o] Error 1
CMakeFiles/Makefile2:233: recipe for target 'src/ATen/CMakeFiles/ATen.dir/all' failed
make[1]: *** [src/ATen/CMakeFiles/ATen.dir/all] Error 2
Makefile:129: recipe for target 'all' failed
make: *** [all] Error

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parse error in template argument list

Hi,

When I run 'python setup.py install --user' ,it output an error:
[ 85%] Building NVCC (Device) object src/ATen/CMakeFiles/ATen_cuda.dir/native/cuda/ATen_cuda_generated_TensorFactories.cu.o
In file included from tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:1:0:
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:41:17: error: parse error in template argument list
template<> __specialization_static void __wrapper__device_stub_cunn_SoftMaxForward<2, ::at::cuda::type , ::at::acc_type<double, (bool)1> , ::at::native::operator ::LogSoftMaxForwardEpilogue>( _ZN2at4cuda4typeIdEE *&__cuda_0,_ZN2at4cuda4typeIdEE *&__cuda_1,int &__cuda_2){__device_stub__ZN2at6native66_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a462619cunn_SoftMaxForwardILi2EddNS1_25LogSoftMaxForwardEpilogueEEEvPT0_S5_i( (_ZN2at4cuda4typeIdEE &)__cuda_0,(_ZN2at4cuda4typeIdEE &)__cuda_1,(int &)__cuda_2);}}}}
^
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:41:17: error: template-id ‘__wrapper__device_stub_cunn_SoftMaxForward<2, at::cuda::type, at::acc_type<double, true>, >’ for ‘void at::native::_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a4626::__wrapper__device_stub_cunn_SoftMaxForward(_ZN2at4cuda4typeIdEE&, _ZN2at4cuda4typeIdEE&, int&)’ does not match any template declaration
In file included from tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:1:0:
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:46:17: error: parse error in template argument list
template<> __specialization_static void __wrapper__device_stub_cunn_SoftMaxForward<2, ::at::cuda::type , ::at::acc_type<float, (bool)1> , ::at::native::operator ::LogSoftMaxForwardEpilogue>( _ZN2at4cuda4typeIfEE *&__cuda_0,_ZN2at4cuda4typeIfEE *&__cuda_1,int &__cuda_2){__device_stub__ZN2at6native66_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a462619cunn_SoftMaxForwardILi2EffNS1_25LogSoftMaxForwardEpilogueEEEvPT0_S5_i( (_ZN2at4cuda4typeIfEE &)__cuda_0,(_ZN2at4cuda4typeIfEE &)__cuda_1,(int &)__cuda_2);}}}}
^
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:46:17: error: template-id ‘__wrapper__device_stub_cunn_SoftMaxForward<2, at::cuda::type, at::acc_type<float, true>, >’ for ‘void at::native::_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a4626::__wrapper__device_stub_cunn_SoftMaxForward(_ZN2at4cuda4typeIfEE&, _ZN2at4cuda4typeIfEE&, int&)’ does not match any template declaration
In file included from tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:1:0:
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:51:17: error: parse error in template argument list
template<> __specialization_static void __wrapper__device_stub_cunn_SoftMaxForward<2, ::at::cuda::type< ::at::Half> , ::at::acc_type< ::__half, (bool)1> , ::at::native::operator ::LogSoftMaxForwardEpilogue>( _ZN2at4cuda4typeINS_4HalfEEE *&__cuda_0,_ZN2at4cuda4typeINS_4HalfEEE *&__cuda_1,int &__cuda_2){__device_stub__ZN2at6native66_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a462619cunn_SoftMaxForwardILi2E6__halffNS1_25LogSoftMaxForwardEpilogueEEEvPT0_S6_i( (_ZN2at4cuda4typeINS_4HalfEEE &)__cuda_0,(_ZN2at4cuda4typeINS_4HalfEEE &)__cuda_1,(int &)__cuda_2);}}}}
^
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:51:17: error: template-id ‘__wrapper__device_stub_cunn_SoftMaxForward<2, at::cuda::typeat::Half, at::acc_type<__half, true>, >’ for ‘void at::native::_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a4626::__wrapper__device_stub_cunn_SoftMaxForward(_ZN2at4cuda4typeINS_4HalfEEE&, _ZN2at4cuda4typeINS_4HalfEEE&, int&)’ does not match any template declaration
In file included from tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:1:0:
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:56:17: error: parse error in template argument list
template<> __specialization_static void __wrapper__device_stub_cunn_SpatialSoftMaxForward< ::at::cuda::type , ::at::acc_type<double, (bool)1> , ::at::native::operator ::LogSoftMaxForwardEpilogue>( _ZN2at4cuda4typeIdEE *&__cuda_0,_ZN2at4cuda4typeIdEE *&__cuda_1,::uint32_t &__cuda_2,::uint32_t &__cuda_3,::uint32_t &__cuda_4){__device_stub__ZN2at6native66_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a462626cunn_SpatialSoftMaxForwardIddNS1_25LogSoftMaxForwardEpilogueEEEvPT_S5_jjj( (_ZN2at4cuda4typeIdEE &)__cuda_0,(_ZN2at4cuda4typeIdEE &)__cuda_1,(::uint32_t &)__cuda_2,(::uint32_t &)__cuda_3,(::uint32_t &)__cuda_4);}}}}
^
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:56:17: error: template-id ‘__wrapper__device_stub_cunn_SpatialSoftMaxForward<at::cuda::type, at::acc_type<double, true>, >’ for ‘void at::native::_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a4626::__wrapper__device_stub_cunn_SpatialSoftMaxForward(_ZN2at4cuda4typeIdEE&, _ZN2at4cuda4typeIdEE&, uint32_t&, uint32_t&, uint32_t&)’ does not match any template declaration
In file included from tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:1:0:
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:61:17: error: parse error in template argument list
template<> __specialization_static void __wrapper__device_stub_cunn_SpatialSoftMaxForward< ::at::cuda::type , ::at::acc_type<float, (bool)1> , ::at::native::operator ::LogSoftMaxForwardEpilogue>( _ZN2at4cuda4typeIfEE *&__cuda_0,_ZN2at4cuda4typeIfEE *&__cuda_1,::uint32_t &__cuda_2,::uint32_t &__cuda_3,::uint32_t &__cuda_4){__device_stub__ZN2at6native66_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a462626cunn_SpatialSoftMaxForwardIffNS1_25LogSoftMaxForwardEpilogueEEEvPT_S5_jjj( (_ZN2at4cuda4typeIfEE &)__cuda_0,(_ZN2at4cuda4typeIfEE &)__cuda_1,(::uint32_t &)__cuda_2,(::uint32_t &)__cuda_3,(::uint32_t &)__cuda_4);}}}}
^
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:61:17: error: template-id ‘__wrapper__device_stub_cunn_SpatialSoftMaxForward<at::cuda::type, at::acc_type<float, true>, >’ for ‘void at::native::_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a4626::__wrapper__device_stub_cunn_SpatialSoftMaxForward(_ZN2at4cuda4typeIfEE&, _ZN2at4cuda4typeIfEE&, uint32_t&, uint32_t&, uint32_t&)’ does not match any template declaration
In file included from tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:1:0:
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:66:17: error: parse error in template argument list
template<> __specialization_static void __wrapper__device_stub_cunn_SpatialSoftMaxForward< ::at::cuda::type< ::at::Half> , ::at::acc_type< ::__half, (bool)1> , ::at::native::operator ::LogSoftMaxForwardEpilogue>( _ZN2at4cuda4typeINS_4HalfEEE *&__cuda_0,_ZN2at4cuda4typeINS_4HalfEEE *&__cuda_1,::uint32_t &__cuda_2,::uint32_t &__cuda_3,::uint32_t &__cuda_4){__device_stub__ZN2at6native66_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a462626cunn_SpatialSoftMaxForwardI6__halffNS1_25LogSoftMaxForwardEpilogueEEEvPT_S6_jjj( (_ZN2at4cuda4typeINS_4HalfEEE &)__cuda_0,(_ZN2at4cuda4typeINS_4HalfEEE &)__cuda_1,(::uint32_t &)__cuda_2,(::uint32_t &)__cuda_3,(::uint32_t &)__cuda_4);}}}}
^
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:66:17: error: template-id ‘__wrapper__device_stub_cunn_SpatialSoftMaxForward<at::cuda::typeat::Half, at::acc_type<__half, true>, >’ for ‘void at::native::_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a4626::__wrapper__device_stub_cunn_SpatialSoftMaxForward(_ZN2at4cuda4typeINS_4HalfEEE&, _ZN2at4cuda4typeINS_4HalfEEE&, uint32_t&, uint32_t&, uint32_t&)’ does not match any template declaration
In file included from tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:1:0:
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:71:17: error: parse error in template argument list
template<> __specialization_static void __wrapper__device_stub_cunn_SoftMaxBackward<2, ::at::cuda::type , ::at::acc_type<double, (bool)1> , ::at::native::operator ::LogSoftMaxBackwardEpilogue>( _ZN2at4cuda4typeIdEE *&__cuda_0,_ZN2at4cuda4typeIdEE *&__cuda_1,_ZN2at4cuda4typeIdEE *&__cuda_2,int &__cuda_3){__device_stub__ZN2at6native66_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a462620cunn_SoftMaxBackwardILi2EddNS1_26LogSoftMaxBackwardEpilogueEEEvPT0_S5_S5_i( (_ZN2at4cuda4typeIdEE &)__cuda_0,(_ZN2at4cuda4typeIdEE &)__cuda_1,(_ZN2at4cuda4typeIdEE &)__cuda_2,(int &)__cuda_3);}}}}
^
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:71:17: error: template-id ‘__wrapper__device_stub_cunn_SoftMaxBackward<2, at::cuda::type, at::acc_type<double, true>, >’ for ‘void at::native::_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a4626::__wrapper__device_stub_cunn_SoftMaxBackward(_ZN2at4cuda4typeIdEE&, _ZN2at4cuda4typeIdEE&, _ZN2at4cuda4typeIdEE&, int&)’ does not match any template declaration
In file included from tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:1:0:
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:76:17: error: parse error in template argument list
template<> __specialization_static void __wrapper__device_stub_cunn_SoftMaxBackward<2, ::at::cuda::type , ::at::acc_type<float, (bool)1> , ::at::native::operator ::LogSoftMaxBackwardEpilogue>( _ZN2at4cuda4typeIfEE *&__cuda_0,_ZN2at4cuda4typeIfEE *&__cuda_1,_ZN2at4cuda4typeIfEE *&__cuda_2,int &__cuda_3){__device_stub__ZN2at6native66_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a462620cunn_SoftMaxBackwardILi2EffNS1_26LogSoftMaxBackwardEpilogueEEEvPT0_S5_S5_i( (_ZN2at4cuda4typeIfEE &)__cuda_0,(_ZN2at4cuda4typeIfEE &)__cuda_1,(_ZN2at4cuda4typeIfEE &)__cuda_2,(int &)__cuda_3);}}}}
^
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:76:17: error: template-id ‘__wrapper__device_stub_cunn_SoftMaxBackward<2, at::cuda::type, at::acc_type<float, true>, >’ for ‘void at::native::_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a4626::__wrapper__device_stub_cunn_SoftMaxBackward(_ZN2at4cuda4typeIfEE&, _ZN2at4cuda4typeIfEE&, _ZN2at4cuda4typeIfEE&, int&)’ does not match any template declaration
In file included from tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:1:0:
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:81:17: error: parse error in template argument list
template<> __specialization_static void __wrapper__device_stub_cunn_SoftMaxBackward<2, ::at::cuda::type< ::at::Half> , ::at::acc_type< ::__half, (bool)1> , ::at::native::operator ::LogSoftMaxBackwardEpilogue>( _ZN2at4cuda4typeINS_4HalfEEE *&__cuda_0,_ZN2at4cuda4typeINS_4HalfEEE *&__cuda_1,_ZN2at4cuda4typeINS_4HalfEEE *&__cuda_2,int &__cuda_3){__device_stub__ZN2at6native66_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a462620cunn_SoftMaxBackwardILi2E6__halffNS1_26LogSoftMaxBackwardEpilogueEEEvPT0_S6_S6_i( (_ZN2at4cuda4typeINS_4HalfEEE &)__cuda_0,(_ZN2at4cuda4typeINS_4HalfEEE &)__cuda_1,(_ZN2at4cuda4typeINS_4HalfEEE &)__cuda_2,(int &)__cuda_3);}}}}
^
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:81:17: error: template-id ‘__wrapper__device_stub_cunn_SoftMaxBackward<2, at::cuda::typeat::Half, at::acc_type<__half, true>, >’ for ‘void at::native::_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a4626::__wrapper__device_stub_cunn_SoftMaxBackward(_ZN2at4cuda4typeINS_4HalfEEE&, _ZN2at4cuda4typeINS_4HalfEEE&, _ZN2at4cuda4typeINS_4HalfEEE&, int&)’ does not match any template declaration
In file included from tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:1:0:
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:86:17: error: parse error in template argument list
template<> __specialization_static void __wrapper__device_stub_cunn_SpatialSoftMaxBackward< ::at::cuda::type , ::at::acc_type<double, (bool)1> , ::at::native::operator ::LogSoftMaxBackwardEpilogue>( _ZN2at4cuda4typeIdEE *&__cuda_0,_ZN2at4cuda4typeIdEE *&__cuda_1,_ZN2at4cuda4typeIdEE *&__cuda_2,::uint32_t &__cuda_3,::uint32_t &__cuda_4,::uint32_t &__cuda_5){__device_stub__ZN2at6native66_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a462627cunn_SpatialSoftMaxBackwardIddNS1_26LogSoftMaxBackwardEpilogueEEEvPT_S5_S5_jjj( (_ZN2at4cuda4typeIdEE &)__cuda_0,(_ZN2at4cuda4typeIdEE &)__cuda_1,(_ZN2at4cuda4typeIdEE &)__cuda_2,(::uint32_t &)__cuda_3,(::uint32_t &)__cuda_4,(::uint32_t &)__cuda_5);}}}}
^
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:86:17: error: template-id ‘__wrapper__device_stub_cunn_SpatialSoftMaxBackward<at::cuda::type, at::acc_type<double, true>, >’ for ‘void at::native::_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a4626::__wrapper__device_stub_cunn_SpatialSoftMaxBackward(_ZN2at4cuda4typeIdEE&, _ZN2at4cuda4typeIdEE&, _ZN2at4cuda4typeIdEE&, uint32_t&, uint32_t&, uint32_t&)’ does not match any template declaration
In file included from tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:1:0:
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:91:17: error: parse error in template argument list
template<> __specialization_static void __wrapper__device_stub_cunn_SpatialSoftMaxBackward< ::at::cuda::type , ::at::acc_type<float, (bool)1> , ::at::native::operator ::LogSoftMaxBackwardEpilogue>( _ZN2at4cuda4typeIfEE *&__cuda_0,_ZN2at4cuda4typeIfEE *&__cuda_1,_ZN2at4cuda4typeIfEE *&__cuda_2,::uint32_t &__cuda_3,::uint32_t &__cuda_4,::uint32_t &__cuda_5){__device_stub__ZN2at6native66_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a462627cunn_SpatialSoftMaxBackwardIffNS1_26LogSoftMaxBackwardEpilogueEEEvPT_S5_S5_jjj( (_ZN2at4cuda4typeIfEE &)__cuda_0,(_ZN2at4cuda4typeIfEE &)__cuda_1,(_ZN2at4cuda4typeIfEE &)__cuda_2,(::uint32_t &)__cuda_3,(::uint32_t &)__cuda_4,(::uint32_t &)__cuda_5);}}}}
^
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:91:17: error: template-id ‘__wrapper__device_stub_cunn_SpatialSoftMaxBackward<at::cuda::type, at::acc_type<float, true>, >’ for ‘void at::native::_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a4626::__wrapper__device_stub_cunn_SpatialSoftMaxBackward(_ZN2at4cuda4typeIfEE&, _ZN2at4cuda4typeIfEE&, _ZN2at4cuda4typeIfEE&, uint32_t&, uint32_t&, uint32_t&)’ does not match any template declaration
In file included from tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:1:0:
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:96:17: error: parse error in template argument list
template<> __specialization_static void __wrapper__device_stub_cunn_SpatialSoftMaxBackward< ::at::cuda::type< ::at::Half> , ::at::acc_type< ::__half, (bool)1> , ::at::native::operator ::LogSoftMaxBackwardEpilogue>( _ZN2at4cuda4typeINS_4HalfEEE *&__cuda_0,_ZN2at4cuda4typeINS_4HalfEEE *&__cuda_1,_ZN2at4cuda4typeINS_4HalfEEE *&__cuda_2,::uint32_t &__cuda_3,::uint32_t &__cuda_4,::uint32_t &__cuda_5){__device_stub__ZN2at6native66_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a462627cunn_SpatialSoftMaxBackwardI6__halffNS1_26LogSoftMaxBackwardEpilogueEEEvPT_S6_S6_jjj( (_ZN2at4cuda4typeINS_4HalfEEE &)__cuda_0,(_ZN2at4cuda4typeINS_4HalfEEE &)__cuda_1,(_ZN2at4cuda4typeINS_4HalfEEE &)__cuda_2,(::uint32_t &)__cuda_3,(::uint32_t &)__cuda_4,(::uint32_t &)__cuda_5);}}}}
^
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:96:17: error: template-id ‘__wrapper__device_stub_cunn_SpatialSoftMaxBackward<at::cuda::typeat::Half, at::acc_type<__half, true>, >’ for ‘void at::native::_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a4626::__wrapper__device_stub_cunn_SpatialSoftMaxBackward(_ZN2at4cuda4typeINS_4HalfEEE&, _ZN2at4cuda4typeINS_4HalfEEE&, _ZN2at4cuda4typeINS_4HalfEEE&, uint32_t&, uint32_t&, uint32_t&)’ does not match any template declaration
In file included from tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:1:0:
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:101:17: error: parse error in template argument list
template<> __specialization_static void __wrapper__device_stub_cunn_SoftMaxForward<2, ::at::cuda::type , ::at::acc_type<double, (bool)1> , ::at::native::operator ::SoftMaxForwardEpilogue>( _ZN2at4cuda4typeIdEE *&__cuda_0,_ZN2at4cuda4typeIdEE *&__cuda_1,int &__cuda_2){__device_stub__ZN2at6native66_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a462619cunn_SoftMaxForwardILi2EddNS1_22SoftMaxForwardEpilogueEEEvPT0_S5_i( (_ZN2at4cuda4typeIdEE &)__cuda_0,(_ZN2at4cuda4typeIdEE &)__cuda_1,(int &)__cuda_2);}}}}
^
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:101:17: error: template-id ‘__wrapper__device_stub_cunn_SoftMaxForward<2, at::cuda::type, at::acc_type<double, true>, >’ for ‘void at::native::_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a4626::__wrapper__device_stub_cunn_SoftMaxForward(_ZN2at4cuda4typeIdEE&, _ZN2at4cuda4typeIdEE&, int&)’ does not match any template declaration
In file included from tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:1:0:
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:106:17: error: parse error in template argument list
template<> __specialization_static void __wrapper__device_stub_cunn_SoftMaxForward<2, ::at::cuda::type , ::at::acc_type<float, (bool)1> , ::at::native::operator ::SoftMaxForwardEpilogue>( _ZN2at4cuda4typeIfEE *&__cuda_0,_ZN2at4cuda4typeIfEE *&__cuda_1,int &__cuda_2){__device_stub__ZN2at6native66_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a462619cunn_SoftMaxForwardILi2EffNS1_22SoftMaxForwardEpilogueEEEvPT0_S5_i( (_ZN2at4cuda4typeIfEE &)__cuda_0,(_ZN2at4cuda4typeIfEE &)__cuda_1,(int &)__cuda_2);}}}}
^
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:106:17: error: template-id ‘__wrapper__device_stub_cunn_SoftMaxForward<2, at::cuda::type, at::acc_type<float, true>, >’ for ‘void at::native::_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a4626::__wrapper__device_stub_cunn_SoftMaxForward(_ZN2at4cuda4typeIfEE&, _ZN2at4cuda4typeIfEE&, int&)’ does not match any template declaration
In file included from tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:1:0:
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:111:17: error: parse error in template argument list
template<> __specialization_static void __wrapper__device_stub_cunn_SoftMaxForward<2, ::at::cuda::type< ::at::Half> , ::at::acc_type< ::__half, (bool)1> , ::at::native::operator ::SoftMaxForwardEpilogue>( _ZN2at4cuda4typeINS_4HalfEEE *&__cuda_0,_ZN2at4cuda4typeINS_4HalfEEE *&__cuda_1,int &__cuda_2){__device_stub__ZN2at6native66_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a462619cunn_SoftMaxForwardILi2E6__halffNS1_22SoftMaxForwardEpilogueEEEvPT0_S6_i( (_ZN2at4cuda4typeINS_4HalfEEE &)__cuda_0,(_ZN2at4cuda4typeINS_4HalfEEE &)__cuda_1,(int &)__cuda_2);}}}}
^
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:111:17: error: template-id ‘__wrapper__device_stub_cunn_SoftMaxForward<2, at::cuda::typeat::Half, at::acc_type<__half, true>, >’ for ‘void at::native::_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a4626::__wrapper__device_stub_cunn_SoftMaxForward(_ZN2at4cuda4typeINS_4HalfEEE&, _ZN2at4cuda4typeINS_4HalfEEE&, int&)’ does not match any template declaration
In file included from tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:1:0:
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:116:17: error: parse error in template argument list
template<> __specialization_static void __wrapper__device_stub_cunn_SpatialSoftMaxForward< ::at::cuda::type , ::at::acc_type<double, (bool)1> , ::at::native::operator ::SoftMaxForwardEpilogue>( _ZN2at4cuda4typeIdEE *&__cuda_0,_ZN2at4cuda4typeIdEE *&__cuda_1,::uint32_t &__cuda_2,::uint32_t &__cuda_3,::uint32_t &__cuda_4){__device_stub__ZN2at6native66_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a462626cunn_SpatialSoftMaxForwardIddNS1_22SoftMaxForwardEpilogueEEEvPT_S5_jjj( (_ZN2at4cuda4typeIdEE &)__cuda_0,(_ZN2at4cuda4typeIdEE &)__cuda_1,(::uint32_t &)__cuda_2,(::uint32_t &)__cuda_3,(::uint32_t &)__cuda_4);}}}}
^
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:116:17: error: template-id ‘__wrapper__device_stub_cunn_SpatialSoftMaxForward<at::cuda::type, at::acc_type<double, true>, >’ for ‘void at::native::_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a4626::__wrapper__device_stub_cunn_SpatialSoftMaxForward(_ZN2at4cuda4typeIdEE&, _ZN2at4cuda4typeIdEE&, uint32_t&, uint32_t&, uint32_t&)’ does not match any template declaration
In file included from tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:1:0:
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:121:17: error: parse error in template argument list
template<> __specialization_static void __wrapper__device_stub_cunn_SpatialSoftMaxForward< ::at::cuda::type , ::at::acc_type<float, (bool)1> , ::at::native::operator ::SoftMaxForwardEpilogue>( _ZN2at4cuda4typeIfEE *&__cuda_0,_ZN2at4cuda4typeIfEE *&__cuda_1,::uint32_t &__cuda_2,::uint32_t &__cuda_3,::uint32_t &__cuda_4){__device_stub__ZN2at6native66_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a462626cunn_SpatialSoftMaxForwardIffNS1_22SoftMaxForwardEpilogueEEEvPT_S5_jjj( (_ZN2at4cuda4typeIfEE &)__cuda_0,(_ZN2at4cuda4typeIfEE &)__cuda_1,(::uint32_t &)__cuda_2,(::uint32_t &)__cuda_3,(::uint32_t &)__cuda_4);}}}}
^
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:121:17: error: template-id ‘__wrapper__device_stub_cunn_SpatialSoftMaxForward<at::cuda::type, at::acc_type<float, true>, >’ for ‘void at::native::_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a4626::__wrapper__device_stub_cunn_SpatialSoftMaxForward(_ZN2at4cuda4typeIfEE&, _ZN2at4cuda4typeIfEE&, uint32_t&, uint32_t&, uint32_t&)’ does not match any template declaration
In file included from tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:1:0:
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:126:17: error: parse error in template argument list
template<> __specialization_static void __wrapper__device_stub_cunn_SpatialSoftMaxForward< ::at::cuda::type< ::at::Half> , ::at::acc_type< ::__half, (bool)1> , ::at::native::operator ::SoftMaxForwardEpilogue>( _ZN2at4cuda4typeINS_4HalfEEE *&__cuda_0,_ZN2at4cuda4typeINS_4HalfEEE *&__cuda_1,::uint32_t &__cuda_2,::uint32_t &__cuda_3,::uint32_t &__cuda_4){__device_stub__ZN2at6native66_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a462626cunn_SpatialSoftMaxForwardI6__halffNS1_22SoftMaxForwardEpilogueEEEvPT_S6_jjj( (_ZN2at4cuda4typeINS_4HalfEEE &)__cuda_0,(_ZN2at4cuda4typeINS_4HalfEEE &)__cuda_1,(::uint32_t &)__cuda_2,(::uint32_t &)__cuda_3,(::uint32_t &)__cuda_4);}}}}
^
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:126:17: error: template-id ‘__wrapper__device_stub_cunn_SpatialSoftMaxForward<at::cuda::typeat::Half, at::acc_type<__half, true>, >’ for ‘void at::native::_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a4626::__wrapper__device_stub_cunn_SpatialSoftMaxForward(_ZN2at4cuda4typeINS_4HalfEEE&, _ZN2at4cuda4typeINS_4HalfEEE&, uint32_t&, uint32_t&, uint32_t&)’ does not match any template declaration
In file included from tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:1:0:
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:131:17: error: parse error in template argument list
template<> __specialization_static void __wrapper__device_stub_cunn_SoftMaxBackward<2, ::at::cuda::type , ::at::acc_type<double, (bool)1> , ::at::native::operator ::SoftMaxBackwardEpilogue>( _ZN2at4cuda4typeIdEE *&__cuda_0,_ZN2at4cuda4typeIdEE *&__cuda_1,_ZN2at4cuda4typeIdEE *&__cuda_2,int &__cuda_3){__device_stub__ZN2at6native66_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a462620cunn_SoftMaxBackwardILi2EddNS1_23SoftMaxBackwardEpilogueEEEvPT0_S5_S5_i( (_ZN2at4cuda4typeIdEE &)__cuda_0,(_ZN2at4cuda4typeIdEE &)__cuda_1,(_ZN2at4cuda4typeIdEE &)__cuda_2,(int &)__cuda_3);}}}}
^
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:131:17: error: template-id ‘__wrapper__device_stub_cunn_SoftMaxBackward<2, at::cuda::type, at::acc_type<double, true>, >’ for ‘void at::native::_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a4626::__wrapper__device_stub_cunn_SoftMaxBackward(_ZN2at4cuda4typeIdEE&, _ZN2at4cuda4typeIdEE&, _ZN2at4cuda4typeIdEE&, int&)’ does not match any template declaration
In file included from tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:1:0:
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:136:17: error: parse error in template argument list
template<> __specialization_static void __wrapper__device_stub_cunn_SoftMaxBackward<2, ::at::cuda::type , ::at::acc_type<float, (bool)1> , ::at::native::operator ::SoftMaxBackwardEpilogue>( _ZN2at4cuda4typeIfEE *&__cuda_0,_ZN2at4cuda4typeIfEE *&__cuda_1,_ZN2at4cuda4typeIfEE *&__cuda_2,int &__cuda_3){__device_stub__ZN2at6native66_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a462620cunn_SoftMaxBackwardILi2EffNS1_23SoftMaxBackwardEpilogueEEEvPT0_S5_S5_i( (_ZN2at4cuda4typeIfEE &)__cuda_0,(_ZN2at4cuda4typeIfEE &)__cuda_1,(_ZN2at4cuda4typeIfEE &)__cuda_2,(int &)__cuda_3);}}}}
^
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:136:17: error: template-id ‘__wrapper__device_stub_cunn_SoftMaxBackward<2, at::cuda::type, at::acc_type<float, true>, >’ for ‘void at::native::_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a4626::__wrapper__device_stub_cunn_SoftMaxBackward(_ZN2at4cuda4typeIfEE&, _ZN2at4cuda4typeIfEE&, _ZN2at4cuda4typeIfEE&, int&)’ does not match any template declaration
In file included from tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:1:0:
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:141:17: error: parse error in template argument list
template<> __specialization_static void __wrapper__device_stub_cunn_SoftMaxBackward<2, ::at::cuda::type< ::at::Half> , ::at::acc_type< ::__half, (bool)1> , ::at::native::operator ::SoftMaxBackwardEpilogue>( _ZN2at4cuda4typeINS_4HalfEEE *&__cuda_0,_ZN2at4cuda4typeINS_4HalfEEE *&__cuda_1,_ZN2at4cuda4typeINS_4HalfEEE *&__cuda_2,int &__cuda_3){__device_stub__ZN2at6native66_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a462620cunn_SoftMaxBackwardILi2E6__halffNS1_23SoftMaxBackwardEpilogueEEEvPT0_S6_S6_i( (_ZN2at4cuda4typeINS_4HalfEEE &)__cuda_0,(_ZN2at4cuda4typeINS_4HalfEEE &)__cuda_1,(_ZN2at4cuda4typeINS_4HalfEEE &)__cuda_2,(int &)__cuda_3);}}}}
^
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:141:17: error: template-id ‘__wrapper__device_stub_cunn_SoftMaxBackward<2, at::cuda::typeat::Half, at::acc_type<__half, true>, >’ for ‘void at::native::_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a4626::__wrapper__device_stub_cunn_SoftMaxBackward(_ZN2at4cuda4typeINS_4HalfEEE&, _ZN2at4cuda4typeINS_4HalfEEE&, _ZN2at4cuda4typeINS_4HalfEEE&, int&)’ does not match any template declaration
In file included from tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:1:0:
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:146:17: error: parse error in template argument list
template<> __specialization_static void __wrapper__device_stub_cunn_SpatialSoftMaxBackward< ::at::cuda::type , ::at::acc_type<double, (bool)1> , ::at::native::operator ::SoftMaxBackwardEpilogue>( _ZN2at4cuda4typeIdEE *&__cuda_0,_ZN2at4cuda4typeIdEE *&__cuda_1,_ZN2at4cuda4typeIdEE *&__cuda_2,::uint32_t &__cuda_3,::uint32_t &__cuda_4,::uint32_t &__cuda_5){__device_stub__ZN2at6native66_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a462627cunn_SpatialSoftMaxBackwardIddNS1_23SoftMaxBackwardEpilogueEEEvPT_S5_S5_jjj( (_ZN2at4cuda4typeIdEE &)__cuda_0,(_ZN2at4cuda4typeIdEE &)__cuda_1,(_ZN2at4cuda4typeIdEE &)__cuda_2,(::uint32_t &)__cuda_3,(::uint32_t &)__cuda_4,(::uint32_t &)__cuda_5);}}}}
^
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:146:17: error: template-id ‘__wrapper__device_stub_cunn_SpatialSoftMaxBackward<at::cuda::type, at::acc_type<double, true>, >’ for ‘void at::native::_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a4626::__wrapper__device_stub_cunn_SpatialSoftMaxBackward(_ZN2at4cuda4typeIdEE&, _ZN2at4cuda4typeIdEE&, _ZN2at4cuda4typeIdEE&, uint32_t&, uint32_t&, uint32_t&)’ does not match any template declaration
In file included from tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:1:0:
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:151:17: error: parse error in template argument list
template<> __specialization_static void __wrapper__device_stub_cunn_SpatialSoftMaxBackward< ::at::cuda::type , ::at::acc_type<float, (bool)1> , ::at::native::operator ::SoftMaxBackwardEpilogue>( _ZN2at4cuda4typeIfEE *&__cuda_0,_ZN2at4cuda4typeIfEE *&__cuda_1,_ZN2at4cuda4typeIfEE *&__cuda_2,::uint32_t &__cuda_3,::uint32_t &__cuda_4,::uint32_t &__cuda_5){__device_stub__ZN2at6native66_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a462627cunn_SpatialSoftMaxBackwardIffNS1_23SoftMaxBackwardEpilogueEEEvPT_S5_S5_jjj( (_ZN2at4cuda4typeIfEE &)__cuda_0,(_ZN2at4cuda4typeIfEE &)__cuda_1,(_ZN2at4cuda4typeIfEE &)__cuda_2,(::uint32_t &)__cuda_3,(::uint32_t &)__cuda_4,(::uint32_t &)__cuda_5);}}}}
^
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:151:17: error: template-id ‘__wrapper__device_stub_cunn_SpatialSoftMaxBackward<at::cuda::type, at::acc_type<float, true>, >’ for ‘void at::native::_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a4626::__wrapper__device_stub_cunn_SpatialSoftMaxBackward(_ZN2at4cuda4typeIfEE&, _ZN2at4cuda4typeIfEE&, _ZN2at4cuda4typeIfEE&, uint32_t&, uint32_t&, uint32_t&)’ does not match any template declaration
In file included from tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:1:0:
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:156:17: error: parse error in template argument list
template<> __specialization_static void __wrapper__device_stub_cunn_SpatialSoftMaxBackward< ::at::cuda::type< ::at::Half> , ::at::acc_type< ::__half, (bool)1> , ::at::native::operator ::SoftMaxBackwardEpilogue>( _ZN2at4cuda4typeINS_4HalfEEE *&__cuda_0,_ZN2at4cuda4typeINS_4HalfEEE *&__cuda_1,_ZN2at4cuda4typeINS_4HalfEEE *&__cuda_2,::uint32_t &__cuda_3,::uint32_t &__cuda_4,::uint32_t &__cuda_5){__device_stub__ZN2at6native66_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a462627cunn_SpatialSoftMaxBackwardI6__halffNS1_23SoftMaxBackwardEpilogueEEEvPT_S6_S6_jjj( (_ZN2at4cuda4typeINS_4HalfEEE &)__cuda_0,(_ZN2at4cuda4typeINS_4HalfEEE &)__cuda_1,(_ZN2at4cuda4typeINS_4HalfEEE &)__cuda_2,(::uint32_t &)__cuda_3,(::uint32_t &)__cuda_4,(::uint32_t &)__cuda_5);}}}}
^
/tmp/tmpxft_00007024_00000000-4_SoftMax.cudafe1.stub.c:156:17: error: template-id ‘__wrapper__device_stub_cunn_SpatialSoftMaxBackward<at::cuda::typeat::Half, at::acc_type<__half, true>, >’ for ‘void at::native::_GLOBAL__N__42_tmpxft_00007024_00000000_7_SoftMax_cpp1_ii_826a4626::__wrapper__device_stub_cunn_SpatialSoftMaxBackward(_ZN2at4cuda4typeINS_4HalfEEE&, _ZN2at4cuda4typeINS_4HalfEEE&, _ZN2at4cuda4typeINS_4HalfEEE&, uint32_t&, uint32_t&, uint32_t&)’ does not match any template declaration
cc1plus: warning: unrecognized command line option ‘-Wno-absolute-value’
CMake Error at ATen_cuda_generated_SoftMax.cu.o.Release.cmake:279 (message):
Error generating file
/home/ubuntu/pytorch0.3/aten/build/src/ATen/CMakeFiles/ATen_cuda.dir/native/cuda/./ATen_cuda_generated_SoftMax.cu.o

src/ATen/CMakeFiles/ATen_cuda.dir/build.make:1169: recipe for target 'src/ATen/CMakeFiles/ATen_cuda.dir/native/cuda/ATen_cuda_generated_SoftMax.cu.o' failed
make[2]: *** [src/ATen/CMakeFiles/ATen_cuda.dir/native/cuda/ATen_cuda_generated_SoftMax.cu.o] Error 1
make[2]: *** 正在等待未完成的任务....
CMakeFiles/Makefile2:209: recipe for target 'src/ATen/CMakeFiles/ATen_cuda.dir/all' failed
make[1]: *** [src/ATen/CMakeFiles/ATen_cuda.dir/all] Error 2
Makefile:129: recipe for target 'all' failed

How to fix it?

Install Error: "aarch64-linux-gnu-gcc: internal compiler error"

I ran into a compiler error using cmake 3.5.1. I might try to upgrade the compiler to 3.7...

(cv40py35) nvidia@tegra-ubuntu:~/pytorch$ cmake --version
cmake version 3.5.1

Error:
"aarch64-linux-gnu-gcc: internal compiler error (program cc1plus)"

This could just be a memory issue since I tried building without swap space (usb drive)...

-- Build files have been written to: /home/nvidia/pytorch/torch/lib/build/THPP
Scanning dependencies of target THPP
[ 11%] Building CXX object CMakeFiles/THPP.dir/Traits.cpp.o
[ 22%] Building CXX object CMakeFiles/THPP.dir/storages/THCStorage.cpp.o
[ 33%] Building CXX object CMakeFiles/THPP.dir/tensors/THCTensor.cpp.o
[ 44%] Building CXX object CMakeFiles/THPP.dir/storages/THStorage.cpp.o
[ 55%] Building CXX object CMakeFiles/THPP.dir/tensors/THTensor.cpp.o
[ 66%] Building CXX object CMakeFiles/THPP.dir/tensors/THCSTensor.cpp.o
[ 77%] Building CXX object CMakeFiles/THPP.dir/tensors/THSTensor.cpp.o
[ 88%] Building CXX object CMakeFiles/THPP.dir/TraitsCuda.cpp.o
[100%] Linking CXX shared library libTHPP.so
[100%] Built target THPP
Install the project...
-- Install configuration: "Release"
-- Installing: /home/nvidia/pytorch/torch/lib/tmp_install/lib/libTHPP.so.1
-- Installing: /home/nvidia/pytorch/torch/lib/tmp_install/lib/libTHPP.so
-- Installing: /home/nvidia/pytorch/torch/lib/tmp_install/include/THPP/THPP.h
-- Installing: /home/nvidia/pytorch/torch/lib/tmp_install/include/THPP/TraitsCuda.hpp
-- Installing: /home/nvidia/pytorch/torch/lib/tmp_install/include/THPP/Storage.hpp
-- Installing: /home/nvidia/pytorch/torch/lib/tmp_install/include/THPP/Tensor.hpp
-- Installing: /home/nvidia/pytorch/torch/lib/tmp_install/include/THPP/Traits.hpp
-- Installing: /home/nvidia/pytorch/torch/lib/tmp_install/include/THPP/storages/generic/THCStorage.hpp
-- Installing: /home/nvidia/pytorch/torch/lib/tmp_install/include/THPP/storages/generic/THStorage.hpp
-- Installing: /home/nvidia/pytorch/torch/lib/tmp_install/include/THPP/storages/THCStorage.hpp
-- Installing: /home/nvidia/pytorch/torch/lib/tmp_install/include/THPP/storages/THStorage.hpp
-- Installing: /home/nvidia/pytorch/torch/lib/tmp_install/include/THPP/tensors/generic/THCSTensor.hpp
-- Installing: /home/nvidia/pytorch/torch/lib/tmp_install/include/THPP/tensors/generic/THTensor.hpp
-- Installing: /home/nvidia/pytorch/torch/lib/tmp_install/include/THPP/tensors/generic/THSTensor.hpp
-- Installing: /home/nvidia/pytorch/torch/lib/tmp_install/include/THPP/tensors/generic/THCTensor.hpp
-- Installing: /home/nvidia/pytorch/torch/lib/tmp_install/include/THPP/tensors/THCSTensor.hpp
-- Installing: /home/nvidia/pytorch/torch/lib/tmp_install/include/THPP/tensors/THTensor.hpp
-- Installing: /home/nvidia/pytorch/torch/lib/tmp_install/include/THPP/tensors/THSTensor.hpp
-- Installing: /home/nvidia/pytorch/torch/lib/tmp_install/include/THPP/tensors/THCTensor.hpp
-- Installing: /home/nvidia/pytorch/torch/lib/tmp_install/include/THPP/Type.hpp
-- 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 clock_gettime in rt
-- Looking for clock_gettime in rt - found
-- Configuring done
-- Generating done
CMake Warning:
Manually-specified variables were not used by the project:

CUDA_NVCC_FLAGS
NO_CUDA
THCS_LIBRARIES
THCUNN_SO_VERSION
THC_LIBRARIES
THC_SO_VERSION
THD_SO_VERSION
THNN_SO_VERSION
THPP_LIBRARIES
THS_LIBRARIES
TH_INCLUDE_PATH
TH_LIB_PATH
TH_SO_VERSION
Torch_FOUND

-- Build files have been written to: /home/nvidia/pytorch/torch/lib/build/libshm
Scanning dependencies of target torch_shm_manager
Scanning dependencies of target shm
[ 25%] Building CXX object CMakeFiles/torch_shm_manager.dir/manager.cpp.o
[ 50%] Building CXX object CMakeFiles/shm.dir/core.cpp.o
/home/nvidia/pytorch/torch/lib/libshm/manager.cpp: In function 'void print_init_message(const char*)':
/home/nvidia/pytorch/torch/lib/libshm/manager.cpp:58:37: warning: ignoring return value of 'ssize_t write(int, const void*, size_t)', declared with attribute warn_unused_result [-Wunused-result]
write(1, message, strlen(message));
^
/home/nvidia/pytorch/torch/lib/libshm/manager.cpp:59:20: warning: ignoring return value of 'ssize_t write(int, const void*, size_t)', declared with attribute warn_unused_result [-Wunused-result]
write(1, "\n", 1);
^
[ 75%] Linking CXX shared library libshm.so
[ 75%] Built target shm
[100%] Linking CXX executable torch_shm_manager
CMakeFiles/torch_shm_manager.dir/manager.cpp.o: In function main': manager.cpp:(.text.startup+0x3c): warning: the use of tmpnam' is dangerous, better use `mkstemp'
[100%] Built target torch_shm_manager
Install the project...
-- Install configuration: "Release"
-- Installing: /home/nvidia/pytorch/torch/lib/tmp_install/lib/libshm.so
-- Installing: /home/nvidia/pytorch/torch/lib/tmp_install/include/libshm.h
-- Installing: /home/nvidia/pytorch/torch/lib/tmp_install/bin/torch_shm_manager
running build
running build_py
-- Building version 0.1.10+ac9245a
creating build
creating build/lib.linux-aarch64-3.5
creating build/lib.linux-aarch64-3.5/torch
copying torch/_torch_docs.py -> build/lib.linux-aarch64-3.5/torch
copying torch/_utils.py -> build/lib.linux-aarch64-3.5/torch
copying torch/storage.py -> build/lib.linux-aarch64-3.5/torch
copying torch/serialization.py -> build/lib.linux-aarch64-3.5/torch
copying torch/tensor.py -> build/lib.linux-aarch64-3.5/torch
copying torch/version.py -> build/lib.linux-aarch64-3.5/torch
copying torch/functional.py -> build/lib.linux-aarch64-3.5/torch
copying torch/_tensor_str.py -> build/lib.linux-aarch64-3.5/torch
copying torch/_tensor_docs.py -> build/lib.linux-aarch64-3.5/torch
copying torch/init.py -> build/lib.linux-aarch64-3.5/torch
creating build/lib.linux-aarch64-3.5/tools
copying tools/init.py -> build/lib.linux-aarch64-3.5/tools
creating build/lib.linux-aarch64-3.5/torch/legacy
copying torch/legacy/init.py -> build/lib.linux-aarch64-3.5/torch/legacy
creating build/lib.linux-aarch64-3.5/torch/utils
copying torch/utils/model_zoo.py -> build/lib.linux-aarch64-3.5/torch/utils
copying torch/utils/hooks.py -> build/lib.linux-aarch64-3.5/torch/utils
copying torch/utils/init.py -> build/lib.linux-aarch64-3.5/torch/utils
creating build/lib.linux-aarch64-3.5/torch/backends
copying torch/backends/init.py -> build/lib.linux-aarch64-3.5/torch/backends
creating build/lib.linux-aarch64-3.5/torch/multiprocessing
copying torch/multiprocessing/pool.py -> build/lib.linux-aarch64-3.5/torch/multiprocessing
copying torch/multiprocessing/init.py -> build/lib.linux-aarch64-3.5/torch/multiprocessing
copying torch/multiprocessing/reductions.py -> build/lib.linux-aarch64-3.5/torch/multiprocessing
copying torch/multiprocessing/queue.py -> build/lib.linux-aarch64-3.5/torch/multiprocessing
creating build/lib.linux-aarch64-3.5/torch/sparse
copying torch/sparse/init.py -> build/lib.linux-aarch64-3.5/torch/sparse
creating build/lib.linux-aarch64-3.5/torch/distributed
copying torch/distributed/remote_types.py -> build/lib.linux-aarch64-3.5/torch/distributed
copying torch/distributed/init.py -> build/lib.linux-aarch64-3.5/torch/distributed
copying torch/distributed/collectives.py -> build/lib.linux-aarch64-3.5/torch/distributed
creating build/lib.linux-aarch64-3.5/torch/_thnn
copying torch/_thnn/utils.py -> build/lib.linux-aarch64-3.5/torch/_thnn
copying torch/_thnn/init.py -> build/lib.linux-aarch64-3.5/torch/_thnn
creating build/lib.linux-aarch64-3.5/torch/autograd
copying torch/autograd/gradcheck.py -> build/lib.linux-aarch64-3.5/torch/autograd
copying torch/autograd/stochastic_function.py -> build/lib.linux-aarch64-3.5/torch/autograd
copying torch/autograd/function.py -> build/lib.linux-aarch64-3.5/torch/autograd
copying torch/autograd/engine.py -> build/lib.linux-aarch64-3.5/torch/autograd
copying torch/autograd/init.py -> build/lib.linux-aarch64-3.5/torch/autograd
copying torch/autograd/variable.py -> build/lib.linux-aarch64-3.5/torch/autograd
creating build/lib.linux-aarch64-3.5/torch/nn
copying torch/nn/parameter.py -> build/lib.linux-aarch64-3.5/torch/nn
copying torch/nn/functional.py -> build/lib.linux-aarch64-3.5/torch/nn
copying torch/nn/init.py -> build/lib.linux-aarch64-3.5/torch/nn
copying torch/nn/init.py -> build/lib.linux-aarch64-3.5/torch/nn
creating build/lib.linux-aarch64-3.5/torch/cuda
copying torch/cuda/sparse.py -> build/lib.linux-aarch64-3.5/torch/cuda
copying torch/cuda/nccl.py -> build/lib.linux-aarch64-3.5/torch/cuda
copying torch/cuda/streams.py -> build/lib.linux-aarch64-3.5/torch/cuda
copying torch/cuda/random.py -> build/lib.linux-aarch64-3.5/torch/cuda
copying torch/cuda/comm.py -> build/lib.linux-aarch64-3.5/torch/cuda
copying torch/cuda/init.py -> build/lib.linux-aarch64-3.5/torch/cuda
creating build/lib.linux-aarch64-3.5/torch/optim
copying torch/optim/adam.py -> build/lib.linux-aarch64-3.5/torch/optim
copying torch/optim/adagrad.py -> build/lib.linux-aarch64-3.5/torch/optim
copying torch/optim/adadelta.py -> build/lib.linux-aarch64-3.5/torch/optim
copying torch/optim/rmsprop.py -> build/lib.linux-aarch64-3.5/torch/optim
copying torch/optim/sgd.py -> build/lib.linux-aarch64-3.5/torch/optim
copying torch/optim/asgd.py -> build/lib.linux-aarch64-3.5/torch/optim
copying torch/optim/optimizer.py -> build/lib.linux-aarch64-3.5/torch/optim
copying torch/optim/init.py -> build/lib.linux-aarch64-3.5/torch/optim
copying torch/optim/adamax.py -> build/lib.linux-aarch64-3.5/torch/optim
copying torch/optim/lbfgs.py -> build/lib.linux-aarch64-3.5/torch/optim
copying torch/optim/rprop.py -> build/lib.linux-aarch64-3.5/torch/optim
creating build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/LeakyReLU.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Sum.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Concat.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Bilinear.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/CosineDistance.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/AddConstant.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/DistKLDivCriterion.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/DotProduct.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/WeightedEuclidean.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/MarginRankingCriterion.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Add.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/L1HingeEmbeddingCriterion.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/GradientReversal.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/SpatialAdaptiveMaxPooling.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/VolumetricFullConvolution.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Cosine.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Log.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/SoftShrink.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/MaskedSelect.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/CMul.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/SpatialConvolution.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/L1Cost.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Clamp.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/BatchNormalization.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/utils.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/MM.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Unsqueeze.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Sequential.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/PartialLinear.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/SelectTable.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/MulConstant.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/SpatialReflectionPadding.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Reshape.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Min.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Tanh.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Criterion.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/HardTanh.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/VolumetricAveragePooling.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/LookupTable.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/SpatialLPPooling.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/SoftMarginCriterion.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/SpatialMaxPooling.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/SpatialReplicationPadding.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Sqrt.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/SplitTable.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Replicate.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/CSubTable.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/SpatialSubtractiveNormalization.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Squeeze.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Index.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Narrow.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/MultiLabelMarginCriterion.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Abs.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/ParallelTable.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/VolumetricConvolution.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/SpatialUpSamplingNearest.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/SpatialCrossMapLRN.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/DepthConcat.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/VolumetricDropout.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/SpatialDivisiveNormalization.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/MSECriterion.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/HardShrink.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Threshold.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/CosineEmbeddingCriterion.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Module.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Identity.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/MarginCriterion.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Mean.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/WeightedMSECriterion.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/FlattenTable.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Contiguous.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Transpose.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/CrossEntropyCriterion.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/SpatialClassNLLCriterion.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/SoftMax.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/CMulTable.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/SpatialSubSampling.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Dropout.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/SpatialFractionalMaxPooling.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/CDivTable.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/TemporalConvolution.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/JoinTable.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/NarrowTable.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/VolumetricBatchNormalization.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/SpatialDilatedConvolution.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/CAddTable.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/MultiLabelSoftMarginCriterion.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/SpatialFullConvolution.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/LogSoftMax.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/MV.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/MixtureTable.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/PReLU.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/SpatialConvolutionLocal.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Container.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/SpatialAveragePooling.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/RReLU.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Linear.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Exp.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Padding.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Max.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Select.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/SpatialBatchNormalization.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/AbsCriterion.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/LogSigmoid.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/CriterionTable.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Square.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/SmoothL1Criterion.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/SpatialDropout.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Euclidean.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/View.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/ClassNLLCriterion.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/MultiMarginCriterion.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/TemporalMaxPooling.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/SoftSign.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/ReLU6.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/SpatialSoftMax.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/VolumetricMaxPooling.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Power.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/SpatialFullConvolutionMap.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Copy.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/init.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/ReLU.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Mul.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/MultiCriterion.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/VolumetricMaxUnpooling.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/PairwiseDistance.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/SpatialMaxUnpooling.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Parallel.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/SpatialConvolutionMap.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/SoftPlus.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/HingeEmbeddingCriterion.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/TanhShrink.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/BCECriterion.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Normalize.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/VolumetricReplicationPadding.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/SpatialContrastiveNormalization.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/SpatialZeroPadding.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/Sigmoid.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/ConcatTable.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/TemporalSubSampling.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/L1Penalty.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/ClassSimplexCriterion.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/ParallelCriterion.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/ELU.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
copying torch/legacy/nn/SoftMin.py -> build/lib.linux-aarch64-3.5/torch/legacy/nn
creating build/lib.linux-aarch64-3.5/torch/legacy/optim
copying torch/legacy/optim/adam.py -> build/lib.linux-aarch64-3.5/torch/legacy/optim
copying torch/legacy/optim/nag.py -> build/lib.linux-aarch64-3.5/torch/legacy/optim
copying torch/legacy/optim/adagrad.py -> build/lib.linux-aarch64-3.5/torch/legacy/optim
copying torch/legacy/optim/adadelta.py -> build/lib.linux-aarch64-3.5/torch/legacy/optim
copying torch/legacy/optim/rmsprop.py -> build/lib.linux-aarch64-3.5/torch/legacy/optim
copying torch/legacy/optim/sgd.py -> build/lib.linux-aarch64-3.5/torch/legacy/optim
copying torch/legacy/optim/asgd.py -> build/lib.linux-aarch64-3.5/torch/legacy/optim
copying torch/legacy/optim/cg.py -> build/lib.linux-aarch64-3.5/torch/legacy/optim
copying torch/legacy/optim/init.py -> build/lib.linux-aarch64-3.5/torch/legacy/optim
copying torch/legacy/optim/adamax.py -> build/lib.linux-aarch64-3.5/torch/legacy/optim
copying torch/legacy/optim/lbfgs.py -> build/lib.linux-aarch64-3.5/torch/legacy/optim
copying torch/legacy/optim/rprop.py -> build/lib.linux-aarch64-3.5/torch/legacy/optim
creating build/lib.linux-aarch64-3.5/torch/utils/ffi
copying torch/utils/ffi/init.py -> build/lib.linux-aarch64-3.5/torch/utils/ffi
creating build/lib.linux-aarch64-3.5/torch/utils/trainer
copying torch/utils/trainer/trainer.py -> build/lib.linux-aarch64-3.5/torch/utils/trainer
copying torch/utils/trainer/init.py -> build/lib.linux-aarch64-3.5/torch/utils/trainer
creating build/lib.linux-aarch64-3.5/torch/utils/serialization
copying torch/utils/serialization/read_lua_file.py -> build/lib.linux-aarch64-3.5/torch/utils/serialization
copying torch/utils/serialization/init.py -> build/lib.linux-aarch64-3.5/torch/utils/serialization
creating build/lib.linux-aarch64-3.5/torch/utils/data
copying torch/utils/data/dataloader.py -> build/lib.linux-aarch64-3.5/torch/utils/data
copying torch/utils/data/dataset.py -> build/lib.linux-aarch64-3.5/torch/utils/data
copying torch/utils/data/init.py -> build/lib.linux-aarch64-3.5/torch/utils/data
copying torch/utils/data/sampler.py -> build/lib.linux-aarch64-3.5/torch/utils/data
creating build/lib.linux-aarch64-3.5/torch/utils/trainer/plugins
copying torch/utils/trainer/plugins/progress.py -> build/lib.linux-aarch64-3.5/torch/utils/trainer/plugins
copying torch/utils/trainer/plugins/accuracy.py -> build/lib.linux-aarch64-3.5/torch/utils/trainer/plugins
copying torch/utils/trainer/plugins/plugin.py -> build/lib.linux-aarch64-3.5/torch/utils/trainer/plugins
copying torch/utils/trainer/plugins/monitor.py -> build/lib.linux-aarch64-3.5/torch/utils/trainer/plugins
copying torch/utils/trainer/plugins/logger.py -> build/lib.linux-aarch64-3.5/torch/utils/trainer/plugins
copying torch/utils/trainer/plugins/loss.py -> build/lib.linux-aarch64-3.5/torch/utils/trainer/plugins
copying torch/utils/trainer/plugins/time.py -> build/lib.linux-aarch64-3.5/torch/utils/trainer/plugins
copying torch/utils/trainer/plugins/init.py -> build/lib.linux-aarch64-3.5/torch/utils/trainer/plugins
creating build/lib.linux-aarch64-3.5/torch/backends/cudnn
copying torch/backends/cudnn/rnn.py -> build/lib.linux-aarch64-3.5/torch/backends/cudnn
copying torch/backends/cudnn/init.py -> build/lib.linux-aarch64-3.5/torch/backends/cudnn
creating build/lib.linux-aarch64-3.5/torch/autograd/_functions
copying torch/autograd/_functions/stochastic.py -> build/lib.linux-aarch64-3.5/torch/autograd/_functions
copying torch/autograd/_functions/reduce.py -> build/lib.linux-aarch64-3.5/torch/autograd/_functions
copying torch/autograd/_functions/tensor.py -> build/lib.linux-aarch64-3.5/torch/autograd/_functions
copying torch/autograd/_functions/blas.py -> build/lib.linux-aarch64-3.5/torch/autograd/_functions
copying torch/autograd/_functions/basic_ops.py -> build/lib.linux-aarch64-3.5/torch/autograd/_functions
copying torch/autograd/_functions/pointwise.py -> build/lib.linux-aarch64-3.5/torch/autograd/_functions
copying torch/autograd/_functions/linalg.py -> build/lib.linux-aarch64-3.5/torch/autograd/_functions
copying torch/autograd/_functions/init.py -> build/lib.linux-aarch64-3.5/torch/autograd/_functions
copying torch/autograd/_functions/compare.py -> build/lib.linux-aarch64-3.5/torch/autograd/_functions
creating build/lib.linux-aarch64-3.5/torch/nn/utils
copying torch/nn/utils/clip_grad.py -> build/lib.linux-aarch64-3.5/torch/nn/utils
copying torch/nn/utils/rnn.py -> build/lib.linux-aarch64-3.5/torch/nn/utils
copying torch/nn/utils/init.py -> build/lib.linux-aarch64-3.5/torch/nn/utils
creating build/lib.linux-aarch64-3.5/torch/nn/backends
copying torch/nn/backends/backend.py -> build/lib.linux-aarch64-3.5/torch/nn/backends
copying torch/nn/backends/thnn.py -> build/lib.linux-aarch64-3.5/torch/nn/backends
copying torch/nn/backends/init.py -> build/lib.linux-aarch64-3.5/torch/nn/backends
creating build/lib.linux-aarch64-3.5/torch/nn/_functions
copying torch/nn/_functions/conv.py -> build/lib.linux-aarch64-3.5/torch/nn/_functions
copying torch/nn/_functions/padding.py -> build/lib.linux-aarch64-3.5/torch/nn/_functions
copying torch/nn/_functions/dropout.py -> build/lib.linux-aarch64-3.5/torch/nn/_functions
copying torch/nn/_functions/loss.py -> build/lib.linux-aarch64-3.5/torch/nn/_functions
copying torch/nn/_functions/rnn.py -> build/lib.linux-aarch64-3.5/torch/nn/_functions
copying torch/nn/_functions/batchnorm.py -> build/lib.linux-aarch64-3.5/torch/nn/_functions
copying torch/nn/_functions/linear.py -> build/lib.linux-aarch64-3.5/torch/nn/_functions
copying torch/nn/_functions/init.py -> build/lib.linux-aarch64-3.5/torch/nn/_functions
copying torch/nn/_functions/activation.py -> build/lib.linux-aarch64-3.5/torch/nn/_functions
creating build/lib.linux-aarch64-3.5/torch/nn/parallel
copying torch/nn/parallel/data_parallel.py -> build/lib.linux-aarch64-3.5/torch/nn/parallel
copying torch/nn/parallel/replicate.py -> build/lib.linux-aarch64-3.5/torch/nn/parallel
copying torch/nn/parallel/parallel_apply.py -> build/lib.linux-aarch64-3.5/torch/nn/parallel
copying torch/nn/parallel/scatter_gather.py -> build/lib.linux-aarch64-3.5/torch/nn/parallel
copying torch/nn/parallel/_functions.py -> build/lib.linux-aarch64-3.5/torch/nn/parallel
copying torch/nn/parallel/init.py -> build/lib.linux-aarch64-3.5/torch/nn/parallel
creating build/lib.linux-aarch64-3.5/torch/nn/modules
copying torch/nn/modules/container.py -> build/lib.linux-aarch64-3.5/torch/nn/modules
copying torch/nn/modules/sparse.py -> build/lib.linux-aarch64-3.5/torch/nn/modules
copying torch/nn/modules/conv.py -> build/lib.linux-aarch64-3.5/torch/nn/modules
copying torch/nn/modules/utils.py -> build/lib.linux-aarch64-3.5/torch/nn/modules
copying torch/nn/modules/module.py -> build/lib.linux-aarch64-3.5/torch/nn/modules
copying torch/nn/modules/padding.py -> build/lib.linux-aarch64-3.5/torch/nn/modules
copying torch/nn/modules/upsampling.py -> build/lib.linux-aarch64-3.5/torch/nn/modules
copying torch/nn/modules/pooling.py -> build/lib.linux-aarch64-3.5/torch/nn/modules
copying torch/nn/modules/distance.py -> build/lib.linux-aarch64-3.5/torch/nn/modules
copying torch/nn/modules/pixelshuffle.py -> build/lib.linux-aarch64-3.5/torch/nn/modules
copying torch/nn/modules/dropout.py -> build/lib.linux-aarch64-3.5/torch/nn/modules
copying torch/nn/modules/normalization.py -> build/lib.linux-aarch64-3.5/torch/nn/modules
copying torch/nn/modules/loss.py -> build/lib.linux-aarch64-3.5/torch/nn/modules
copying torch/nn/modules/rnn.py -> build/lib.linux-aarch64-3.5/torch/nn/modules
copying torch/nn/modules/batchnorm.py -> build/lib.linux-aarch64-3.5/torch/nn/modules
copying torch/nn/modules/linear.py -> build/lib.linux-aarch64-3.5/torch/nn/modules
copying torch/nn/modules/init.py -> build/lib.linux-aarch64-3.5/torch/nn/modules
copying torch/nn/modules/activation.py -> build/lib.linux-aarch64-3.5/torch/nn/modules
creating build/lib.linux-aarch64-3.5/torch/nn/_functions/thnn
copying torch/nn/_functions/thnn/sparse.py -> build/lib.linux-aarch64-3.5/torch/nn/_functions/thnn
copying torch/nn/_functions/thnn/auto.py -> build/lib.linux-aarch64-3.5/torch/nn/_functions/thnn
copying torch/nn/_functions/thnn/upsampling.py -> build/lib.linux-aarch64-3.5/torch/nn/_functions/thnn
copying torch/nn/_functions/thnn/pooling.py -> build/lib.linux-aarch64-3.5/torch/nn/_functions/thnn
copying torch/nn/_functions/thnn/normalization.py -> build/lib.linux-aarch64-3.5/torch/nn/_functions/thnn
copying torch/nn/_functions/thnn/loss.py -> build/lib.linux-aarch64-3.5/torch/nn/_functions/thnn
copying torch/nn/_functions/thnn/init.py -> build/lib.linux-aarch64-3.5/torch/nn/_functions/thnn
copying torch/nn/_functions/thnn/activation.py -> build/lib.linux-aarch64-3.5/torch/nn/_functions/thnn
creating build/lib.linux-aarch64-3.5/torch/lib
copying torch/lib/libshm.so -> build/lib.linux-aarch64-3.5/torch/lib
copying torch/lib/libTHNN.so.1 -> build/lib.linux-aarch64-3.5/torch/lib
copying torch/lib/libTHCUNN.so.1 -> build/lib.linux-aarch64-3.5/torch/lib
copying torch/lib/libTHS.so.1 -> build/lib.linux-aarch64-3.5/torch/lib
copying torch/lib/libTH.so.1 -> build/lib.linux-aarch64-3.5/torch/lib
copying torch/lib/libnccl.so -> build/lib.linux-aarch64-3.5/torch/lib
copying torch/lib/libTHC.so.1 -> build/lib.linux-aarch64-3.5/torch/lib
copying torch/lib/libTHCS.so.1 -> build/lib.linux-aarch64-3.5/torch/lib
copying torch/lib/libTHPP.so.1 -> build/lib.linux-aarch64-3.5/torch/lib
copying torch/lib/torch_shm_manager -> build/lib.linux-aarch64-3.5/torch/lib
copying torch/lib/THCUNN.h -> build/lib.linux-aarch64-3.5/torch/lib
copying torch/lib/THNN.h -> build/lib.linux-aarch64-3.5/torch/lib
creating build/lib.linux-aarch64-3.5/torch/lib/include
creating build/lib.linux-aarch64-3.5/torch/lib/include/TH
copying torch/lib/include/TH/THFilePrivate.h -> build/lib.linux-aarch64-3.5/torch/lib/include/TH
copying torch/lib/include/TH/THRandom.h -> build/lib.linux-aarch64-3.5/torch/lib/include/TH
copying torch/lib/include/TH/THStorage.h -> build/lib.linux-aarch64-3.5/torch/lib/include/TH
copying torch/lib/include/TH/TH.h -> build/lib.linux-aarch64-3.5/torch/lib/include/TH
copying torch/lib/include/TH/THTensorMacros.h -> build/lib.linux-aarch64-3.5/torch/lib/include/TH
copying torch/lib/include/TH/THMath.h -> build/lib.linux-aarch64-3.5/torch/lib/include/TH
copying torch/lib/include/TH/THDiskFile.h -> build/lib.linux-aarch64-3.5/torch/lib/include/TH
copying torch/lib/include/TH/THGeneral.h -> build/lib.linux-aarch64-3.5/torch/lib/include/TH
copying torch/lib/include/TH/THAtomic.h -> build/lib.linux-aarch64-3.5/torch/lib/include/TH
copying torch/lib/include/TH/THFile.h -> build/lib.linux-aarch64-3.5/torch/lib/include/TH
copying torch/lib/include/TH/THVector.h -> build/lib.linux-aarch64-3.5/torch/lib/include/TH
copying torch/lib/include/TH/THTensor.h -> build/lib.linux-aarch64-3.5/torch/lib/include/TH
copying torch/lib/include/TH/THTensorApply.h -> build/lib.linux-aarch64-3.5/torch/lib/include/TH
copying torch/lib/include/TH/THGenerateHalfType.h -> build/lib.linux-aarch64-3.5/torch/lib/include/TH
copying torch/lib/include/TH/THGenerateAllTypes.h -> build/lib.linux-aarch64-3.5/torch/lib/include/TH
copying torch/lib/include/TH/THHalf.h -> build/lib.linux-aarch64-3.5/torch/lib/include/TH
copying torch/lib/include/TH/THMemoryFile.h -> build/lib.linux-aarch64-3.5/torch/lib/include/TH
copying torch/lib/include/TH/THTensorDimApply.h -> build/lib.linux-aarch64-3.5/torch/lib/include/TH
copying torch/lib/include/TH/THBlas.h -> build/lib.linux-aarch64-3.5/torch/lib/include/TH
copying torch/lib/include/TH/THAllocator.h -> build/lib.linux-aarch64-3.5/torch/lib/include/TH
copying torch/lib/include/TH/THGenerateIntTypes.h -> build/lib.linux-aarch64-3.5/torch/lib/include/TH
copying torch/lib/include/TH/THLapack.h -> build/lib.linux-aarch64-3.5/torch/lib/include/TH
copying torch/lib/include/TH/THGenerateFloatTypes.h -> build/lib.linux-aarch64-3.5/torch/lib/include/TH
copying torch/lib/include/TH/THLogAdd.h -> build/lib.linux-aarch64-3.5/torch/lib/include/TH
creating build/lib.linux-aarch64-3.5/torch/lib/include/TH/generic
copying torch/lib/include/TH/generic/THTensorMath.h -> build/lib.linux-aarch64-3.5/torch/lib/include/TH/generic
copying torch/lib/include/TH/generic/THStorage.h -> build/lib.linux-aarch64-3.5/torch/lib/include/TH/generic
copying torch/lib/include/TH/generic/THTensorLapack.h -> build/lib.linux-aarch64-3.5/torch/lib/include/TH/generic
copying torch/lib/include/TH/generic/THTensorCopy.h -> build/lib.linux-aarch64-3.5/torch/lib/include/TH/generic
copying torch/lib/include/TH/generic/THVector.h -> build/lib.linux-aarch64-3.5/torch/lib/include/TH/generic
copying torch/lib/include/TH/generic/THTensor.h -> build/lib.linux-aarch64-3.5/torch/lib/include/TH/generic
copying torch/lib/include/TH/generic/THTensorRandom.h -> build/lib.linux-aarch64-3.5/torch/lib/include/TH/generic
copying torch/lib/include/TH/generic/THStorageCopy.h -> build/lib.linux-aarch64-3.5/torch/lib/include/TH/generic
copying torch/lib/include/TH/generic/THTensorConv.h -> build/lib.linux-aarch64-3.5/torch/lib/include/TH/generic
copying torch/lib/include/TH/generic/THBlas.h -> build/lib.linux-aarch64-3.5/torch/lib/include/TH/generic
copying torch/lib/include/TH/generic/THLapack.h -> build/lib.linux-aarch64-3.5/torch/lib/include/TH/generic
creating build/lib.linux-aarch64-3.5/torch/lib/include/THC
copying torch/lib/include/THC/THCGenerateFloatType.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC
copying torch/lib/include/THC/THCAllocator.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC
copying torch/lib/include/THC/THCSleep.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC
copying torch/lib/include/THC/THCGenerateByteType.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC
copying torch/lib/include/THC/THCGeneral.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC
copying torch/lib/include/THC/THCGenerateHalfType.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC
copying torch/lib/include/THC/THCTensorCopy.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC
copying torch/lib/include/THC/THCTensorConv.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC
copying torch/lib/include/THC/THCStream.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC
copying torch/lib/include/THC/THCCachingAllocator.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC
copying torch/lib/include/THC/THCCachingHostAllocator.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC
copying torch/lib/include/THC/THCStorage.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC
copying torch/lib/include/THC/THCGenerateShortType.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC
copying torch/lib/include/THC/THCGenerateLongType.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC
copying torch/lib/include/THC/THCHalf.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC
copying torch/lib/include/THC/THCTensorTopK.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC
copying torch/lib/include/THC/THCGenerateAllTypes.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC
copying torch/lib/include/THC/THCGenerateFloatTypes.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC
copying torch/lib/include/THC/THC.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC
copying torch/lib/include/THC/THCThreadLocal.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC
copying torch/lib/include/THC/THCTensorRandom.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC
copying torch/lib/include/THC/THCGenerateIntType.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC
copying torch/lib/include/THC/THCStorageCopy.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC
copying torch/lib/include/THC/THCGenerateCharType.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC
copying torch/lib/include/THC/THCTensor.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC
copying torch/lib/include/THC/THCBlas.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC
copying torch/lib/include/THC/THCTensorMath.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC
copying torch/lib/include/THC/THCGenerateDoubleType.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC
creating build/lib.linux-aarch64-3.5/torch/lib/include/THC/generic
copying torch/lib/include/THC/generic/THCTensorMathReduce.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC/generic
copying torch/lib/include/THC/generic/THCTensorMasked.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC/generic
copying torch/lib/include/THC/generic/THCTensorCopy.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC/generic
copying torch/lib/include/THC/generic/THCTensorMathCompareT.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC/generic
copying torch/lib/include/THC/generic/THCTensorScatterGather.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC/generic
copying torch/lib/include/THC/generic/THCStorage.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC/generic
copying torch/lib/include/THC/generic/THCTensorMathCompare.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC/generic
copying torch/lib/include/THC/generic/THCTensorIndex.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC/generic
copying torch/lib/include/THC/generic/THCTensorMathPointwise.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC/generic
copying torch/lib/include/THC/generic/THCTensorMathBlas.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC/generic
copying torch/lib/include/THC/generic/THCTensorRandom.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC/generic
copying torch/lib/include/THC/generic/THCStorageCopy.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC/generic
copying torch/lib/include/THC/generic/THCTensorSort.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC/generic
copying torch/lib/include/THC/generic/THCTensorMathScan.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC/generic
copying torch/lib/include/THC/generic/THCTensorMathPairwise.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC/generic
copying torch/lib/include/THC/generic/THCTensor.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC/generic
copying torch/lib/include/THC/generic/THCTensorMathMagma.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC/generic
copying torch/lib/include/THC/generic/THCTensorMath.h -> build/lib.linux-aarch64-3.5/torch/lib/include/THC/generic
running build_ext
-- Building with NumPy bindings
-- Detected cuDNN at /usr/lib/aarch64-linux-gnu, /usr/include
-- Detected CUDA at /usr/local/cuda-8.0
building 'torch._C' extension
creating build/temp.linux-aarch64-3.5
creating build/temp.linux-aarch64-3.5/torch
creating build/temp.linux-aarch64-3.5/torch/csrc
creating build/temp.linux-aarch64-3.5/torch/csrc/utils
creating build/temp.linux-aarch64-3.5/torch/csrc/autograd
creating build/temp.linux-aarch64-3.5/torch/csrc/autograd/functions
creating build/temp.linux-aarch64-3.5/torch/csrc/nn
creating build/temp.linux-aarch64-3.5/torch/csrc/cuda
creating build/temp.linux-aarch64-3.5/torch/csrc/cudnn
aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/home/nvidia/pytorch -I/home/nvidia/pytorch/torch/csrc -I/home/nvidia/pytorch/torch/lib/tmp_install/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/TH -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THPP -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THNN -I/usr/local/lib/python3.5/dist-packages/numpy/core/include -I/usr/local/cuda-8.0/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/usr/include/python3.5m -c torch/csrc/PtrWrapper.cpp -o build/temp.linux-aarch64-3.5/torch/csrc/PtrWrapper.o -D_THP_CORE -std=c++11 -Wno-write-strings -DWITH_NUMPY -DWITH_CUDA -DCUDA_LIB_PATH=/usr/local/cuda-8.0/lib64 -DWITH_CUDNN
aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/home/nvidia/pytorch -I/home/nvidia/pytorch/torch/csrc -I/home/nvidia/pytorch/torch/lib/tmp_install/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/TH -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THPP -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THNN -I/usr/local/lib/python3.5/dist-packages/numpy/core/include -I/usr/local/cuda-8.0/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/usr/include/python3.5m -c torch/csrc/Size.cpp -o build/temp.linux-aarch64-3.5/torch/csrc/Size.o -D_THP_CORE -std=c++11 -Wno-write-strings -DWITH_NUMPY -DWITH_CUDA -DCUDA_LIB_PATH=/usr/local/cuda-8.0/lib64 -DWITH_CUDNN
aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/home/nvidia/pytorch -I/home/nvidia/pytorch/torch/csrc -I/home/nvidia/pytorch/torch/lib/tmp_install/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/TH -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THPP -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THNN -I/usr/local/lib/python3.5/dist-packages/numpy/core/include -I/usr/local/cuda-8.0/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/usr/include/python3.5m -c torch/csrc/Storage.cpp -o build/temp.linux-aarch64-3.5/torch/csrc/Storage.o -D_THP_CORE -std=c++11 -Wno-write-strings -DWITH_NUMPY -DWITH_CUDA -DCUDA_LIB_PATH=/usr/local/cuda-8.0/lib64 -DWITH_CUDNN
aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/home/nvidia/pytorch -I/home/nvidia/pytorch/torch/csrc -I/home/nvidia/pytorch/torch/lib/tmp_install/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/TH -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THPP -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THNN -I/usr/local/lib/python3.5/dist-packages/numpy/core/include -I/usr/local/cuda-8.0/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/usr/include/python3.5m -c torch/csrc/utils.cpp -o build/temp.linux-aarch64-3.5/torch/csrc/utils.o -D_THP_CORE -std=c++11 -Wno-write-strings -DWITH_NUMPY -DWITH_CUDA -DCUDA_LIB_PATH=/usr/local/cuda-8.0/lib64 -DWITH_CUDNN
cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++
cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++
cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++
cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++
aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/home/nvidia/pytorch -I/home/nvidia/pytorch/torch/csrc -I/home/nvidia/pytorch/torch/lib/tmp_install/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/TH -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THPP -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THNN -I/usr/local/lib/python3.5/dist-packages/numpy/core/include -I/usr/local/cuda-8.0/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/usr/include/python3.5m -c torch/csrc/Module.cpp -o build/temp.linux-aarch64-3.5/torch/csrc/Module.o -D_THP_CORE -std=c++11 -Wno-write-strings -DWITH_NUMPY -DWITH_CUDA -DCUDA_LIB_PATH=/usr/local/cuda-8.0/lib64 -DWITH_CUDNN
cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++
aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/home/nvidia/pytorch -I/home/nvidia/pytorch/torch/csrc -I/home/nvidia/pytorch/torch/lib/tmp_install/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/TH -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THPP -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THNN -I/usr/local/lib/python3.5/dist-packages/numpy/core/include -I/usr/local/cuda-8.0/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/usr/include/python3.5m -c torch/csrc/Exceptions.cpp -o build/temp.linux-aarch64-3.5/torch/csrc/Exceptions.o -D_THP_CORE -std=c++11 -Wno-write-strings -DWITH_NUMPY -DWITH_CUDA -DCUDA_LIB_PATH=/usr/local/cuda-8.0/lib64 -DWITH_CUDNN
cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++
aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/home/nvidia/pytorch -I/home/nvidia/pytorch/torch/csrc -I/home/nvidia/pytorch/torch/lib/tmp_install/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/TH -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THPP -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THNN -I/usr/local/lib/python3.5/dist-packages/numpy/core/include -I/usr/local/cuda-8.0/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/usr/include/python3.5m -c torch/csrc/Tensor.cpp -o build/temp.linux-aarch64-3.5/torch/csrc/Tensor.o -D_THP_CORE -std=c++11 -Wno-write-strings -DWITH_NUMPY -DWITH_CUDA -DCUDA_LIB_PATH=/usr/local/cuda-8.0/lib64 -DWITH_CUDNN
cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++
aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/home/nvidia/pytorch -I/home/nvidia/pytorch/torch/csrc -I/home/nvidia/pytorch/torch/lib/tmp_install/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/TH -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THPP -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THNN -I/usr/local/lib/python3.5/dist-packages/numpy/core/include -I/usr/local/cuda-8.0/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/usr/include/python3.5m -c torch/csrc/utils/object_ptr.cpp -o build/temp.linux-aarch64-3.5/torch/csrc/utils/object_ptr.o -D_THP_CORE -std=c++11 -Wno-write-strings -DWITH_NUMPY -DWITH_CUDA -DCUDA_LIB_PATH=/usr/local/cuda-8.0/lib64 -DWITH_CUDNN
cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++
aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/home/nvidia/pytorch -I/home/nvidia/pytorch/torch/csrc -I/home/nvidia/pytorch/torch/lib/tmp_install/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/TH -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THPP -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THNN -I/usr/local/lib/python3.5/dist-packages/numpy/core/include -I/usr/local/cuda-8.0/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/usr/include/python3.5m -c torch/csrc/Generator.cpp -o build/temp.linux-aarch64-3.5/torch/csrc/Generator.o -D_THP_CORE -std=c++11 -Wno-write-strings -DWITH_NUMPY -DWITH_CUDA -DCUDA_LIB_PATH=/usr/local/cuda-8.0/lib64 -DWITH_CUDNN
cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++
aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/home/nvidia/pytorch -I/home/nvidia/pytorch/torch/csrc -I/home/nvidia/pytorch/torch/lib/tmp_install/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/TH -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THPP -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THNN -I/usr/local/lib/python3.5/dist-packages/numpy/core/include -I/usr/local/cuda-8.0/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/usr/include/python3.5m -c torch/csrc/allocators.cpp -o build/temp.linux-aarch64-3.5/torch/csrc/allocators.o -D_THP_CORE -std=c++11 -Wno-write-strings -DWITH_NUMPY -DWITH_CUDA -DCUDA_LIB_PATH=/usr/local/cuda-8.0/lib64 -DWITH_CUDNN
cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++
aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/home/nvidia/pytorch -I/home/nvidia/pytorch/torch/csrc -I/home/nvidia/pytorch/torch/lib/tmp_install/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/TH -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THPP -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THNN -I/usr/local/lib/python3.5/dist-packages/numpy/core/include -I/usr/local/cuda-8.0/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/usr/include/python3.5m -c torch/csrc/serialization.cpp -o build/temp.linux-aarch64-3.5/torch/csrc/serialization.o -D_THP_CORE -std=c++11 -Wno-write-strings -DWITH_NUMPY -DWITH_CUDA -DCUDA_LIB_PATH=/usr/local/cuda-8.0/lib64 -DWITH_CUDNN
cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++
aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/home/nvidia/pytorch -I/home/nvidia/pytorch/torch/csrc -I/home/nvidia/pytorch/torch/lib/tmp_install/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/TH -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THPP -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THNN -I/usr/local/lib/python3.5/dist-packages/numpy/core/include -I/usr/local/cuda-8.0/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/usr/include/python3.5m -c torch/csrc/autograd/function.cpp -o build/temp.linux-aarch64-3.5/torch/csrc/autograd/function.o -D_THP_CORE -std=c++11 -Wno-write-strings -DWITH_NUMPY -DWITH_CUDA -DCUDA_LIB_PATH=/usr/local/cuda-8.0/lib64 -DWITH_CUDNN
cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++
aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/home/nvidia/pytorch -I/home/nvidia/pytorch/torch/csrc -I/home/nvidia/pytorch/torch/lib/tmp_install/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/TH -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THPP -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THNN -I/usr/local/lib/python3.5/dist-packages/numpy/core/include -I/usr/local/cuda-8.0/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/usr/include/python3.5m -c torch/csrc/autograd/variable.cpp -o build/temp.linux-aarch64-3.5/torch/csrc/autograd/variable.o -D_THP_CORE -std=c++11 -Wno-write-strings -DWITH_NUMPY -DWITH_CUDA -DCUDA_LIB_PATH=/usr/local/cuda-8.0/lib64 -DWITH_CUDNN
cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++
aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/home/nvidia/pytorch -I/home/nvidia/pytorch/torch/csrc -I/home/nvidia/pytorch/torch/lib/tmp_install/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/TH -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THPP -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THNN -I/usr/local/lib/python3.5/dist-packages/numpy/core/include -I/usr/local/cuda-8.0/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/usr/include/python3.5m -c torch/csrc/DynamicTypes.cpp -o build/temp.linux-aarch64-3.5/torch/csrc/DynamicTypes.o -D_THP_CORE -std=c++11 -Wno-write-strings -DWITH_NUMPY -DWITH_CUDA -DCUDA_LIB_PATH=/usr/local/cuda-8.0/lib64 -DWITH_CUDNN
cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++
aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/home/nvidia/pytorch -I/home/nvidia/pytorch/torch/csrc -I/home/nvidia/pytorch/torch/lib/tmp_install/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/TH -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THPP -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THNN -I/usr/local/lib/python3.5/dist-packages/numpy/core/include -I/usr/local/cuda-8.0/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/usr/include/python3.5m -c torch/csrc/autograd/init.cpp -o build/temp.linux-aarch64-3.5/torch/csrc/autograd/init.o -D_THP_CORE -std=c++11 -Wno-write-strings -DWITH_NUMPY -DWITH_CUDA -DCUDA_LIB_PATH=/usr/local/cuda-8.0/lib64 -DWITH_CUDNN
cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++
aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/home/nvidia/pytorch -I/home/nvidia/pytorch/torch/csrc -I/home/nvidia/pytorch/torch/lib/tmp_install/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/TH -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THPP -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THNN -I/usr/local/lib/python3.5/dist-packages/numpy/core/include -I/usr/local/cuda-8.0/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/usr/include/python3.5m -c torch/csrc/autograd/grad_buffer.cpp -o build/temp.linux-aarch64-3.5/torch/csrc/autograd/grad_buffer.o -D_THP_CORE -std=c++11 -Wno-write-strings -DWITH_NUMPY -DWITH_CUDA -DCUDA_LIB_PATH=/usr/local/cuda-8.0/lib64 -DWITH_CUDNN
cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++
aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/home/nvidia/pytorch -I/home/nvidia/pytorch/torch/csrc -I/home/nvidia/pytorch/torch/lib/tmp_install/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/TH -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THPP -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THNN -I/usr/local/lib/python3.5/dist-packages/numpy/core/include -I/usr/local/cuda-8.0/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/usr/include/python3.5m -c torch/csrc/autograd/engine.cpp -o build/temp.linux-aarch64-3.5/torch/csrc/autograd/engine.o -D_THP_CORE -std=c++11 -Wno-write-strings -DWITH_NUMPY -DWITH_CUDA -DCUDA_LIB_PATH=/usr/local/cuda-8.0/lib64 -DWITH_CUDNN
cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++
aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/home/nvidia/pytorch -I/home/nvidia/pytorch/torch/csrc -I/home/nvidia/pytorch/torch/lib/tmp_install/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/TH -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THPP -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THNN -I/usr/local/lib/python3.5/dist-packages/numpy/core/include -I/usr/local/cuda-8.0/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/usr/include/python3.5m -c torch/csrc/byte_order.cpp -o build/temp.linux-aarch64-3.5/torch/csrc/byte_order.o -D_THP_CORE -std=c++11 -Wno-write-strings -DWITH_NUMPY -DWITH_CUDA -DCUDA_LIB_PATH=/usr/local/cuda-8.0/lib64 -DWITH_CUDNN
cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++
aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/home/nvidia/pytorch -I/home/nvidia/pytorch/torch/csrc -I/home/nvidia/pytorch/torch/lib/tmp_install/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/TH -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THPP -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THNN -I/usr/local/lib/python3.5/dist-packages/numpy/core/include -I/usr/local/cuda-8.0/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/usr/include/python3.5m -c torch/csrc/autograd/python_function.cpp -o build/temp.linux-aarch64-3.5/torch/csrc/autograd/python_function.o -D_THP_CORE -std=c++11 -Wno-write-strings -DWITH_NUMPY -DWITH_CUDA -DCUDA_LIB_PATH=/usr/local/cuda-8.0/lib64 -DWITH_CUDNN
cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++
aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/home/nvidia/pytorch -I/home/nvidia/pytorch/torch/csrc -I/home/nvidia/pytorch/torch/lib/tmp_install/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/TH -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THPP -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THNN -I/usr/local/lib/python3.5/dist-packages/numpy/core/include -I/usr/local/cuda-8.0/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/usr/include/python3.5m -c torch/csrc/autograd/python_engine.cpp -o build/temp.linux-aarch64-3.5/torch/csrc/autograd/python_engine.o -D_THP_CORE -std=c++11 -Wno-write-strings -DWITH_NUMPY -DWITH_CUDA -DCUDA_LIB_PATH=/usr/local/cuda-8.0/lib64 -DWITH_CUDNN
cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++
aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/home/nvidia/pytorch -I/home/nvidia/pytorch/torch/csrc -I/home/nvidia/pytorch/torch/lib/tmp_install/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/TH -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THPP -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THNN -I/usr/local/lib/python3.5/dist-packages/numpy/core/include -I/usr/local/cuda-8.0/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/usr/include/python3.5m -c torch/csrc/autograd/functions/batch_normalization.cpp -o build/temp.linux-aarch64-3.5/torch/csrc/autograd/functions/batch_normalization.o -D_THP_CORE -std=c++11 -Wno-write-strings -DWITH_NUMPY -DWITH_CUDA -DCUDA_LIB_PATH=/usr/local/cuda-8.0/lib64 -DWITH_CUDNN
cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++
aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/home/nvidia/pytorch -I/home/nvidia/pytorch/torch/csrc -I/home/nvidia/pytorch/torch/lib/tmp_install/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/TH -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THPP -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THNN -I/usr/local/lib/python3.5/dist-packages/numpy/core/include -I/usr/local/cuda-8.0/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/usr/include/python3.5m -c torch/csrc/nn/THNN_generic.cpp -o build/temp.linux-aarch64-3.5/torch/csrc/nn/THNN_generic.o -D_THP_CORE -std=c++11 -Wno-write-strings -DWITH_NUMPY -DWITH_CUDA -DCUDA_LIB_PATH=/usr/local/cuda-8.0/lib64 -DWITH_CUDNN
cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++
aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/home/nvidia/pytorch -I/home/nvidia/pytorch/torch/csrc -I/home/nvidia/pytorch/torch/lib/tmp_install/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/TH -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THPP -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THNN -I/usr/local/lib/python3.5/dist-packages/numpy/core/include -I/usr/local/cuda-8.0/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/usr/include/python3.5m -c torch/csrc/autograd/functions/init.cpp -o build/temp.linux-aarch64-3.5/torch/csrc/autograd/functions/init.o -D_THP_CORE -std=c++11 -Wno-write-strings -DWITH_NUMPY -DWITH_CUDA -DCUDA_LIB_PATH=/usr/local/cuda-8.0/lib64 -DWITH_CUDNN
cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++
aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/home/nvidia/pytorch -I/home/nvidia/pytorch/torch/csrc -I/home/nvidia/pytorch/torch/lib/tmp_install/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/TH -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THPP -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THNN -I/usr/local/lib/python3.5/dist-packages/numpy/core/include -I/usr/local/cuda-8.0/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/usr/include/python3.5m -c torch/csrc/autograd/python_cpp_function.cpp -o build/temp.linux-aarch64-3.5/torch/csrc/autograd/python_cpp_function.o -D_THP_CORE -std=c++11 -Wno-write-strings -DWITH_NUMPY -DWITH_CUDA -DCUDA_LIB_PATH=/usr/local/cuda-8.0/lib64 -DWITH_CUDNN
cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++
aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/home/nvidia/pytorch -I/home/nvidia/pytorch/torch/csrc -I/home/nvidia/pytorch/torch/lib/tmp_install/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/TH -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THPP -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THNN -I/usr/local/lib/python3.5/dist-packages/numpy/core/include -I/usr/local/cuda-8.0/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/usr/include/python3.5m -c torch/csrc/cuda/Stream.cpp -o build/temp.linux-aarch64-3.5/torch/csrc/cuda/Stream.o -D_THP_CORE -std=c++11 -Wno-write-strings -DWITH_NUMPY -DWITH_CUDA -DCUDA_LIB_PATH=/usr/local/cuda-8.0/lib64 -DWITH_CUDNN
cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++
aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/home/nvidia/pytorch -I/home/nvidia/pytorch/torch/csrc -I/home/nvidia/pytorch/torch/lib/tmp_install/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/TH -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THPP -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THNN -I/usr/local/lib/python3.5/dist-packages/numpy/core/include -I/usr/local/cuda-8.0/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/usr/include/python3.5m -c torch/csrc/autograd/python_variable.cpp -o build/temp.linux-aarch64-3.5/torch/csrc/autograd/python_variable.o -D_THP_CORE -std=c++11 -Wno-write-strings -DWITH_NUMPY -DWITH_CUDA -DCUDA_LIB_PATH=/usr/local/cuda-8.0/lib64 -DWITH_CUDNN
cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++
aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/home/nvidia/pytorch -I/home/nvidia/pytorch/torch/csrc -I/home/nvidia/pytorch/torch/lib/tmp_install/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/TH -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THPP -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THNN -I/usr/local/lib/python3.5/dist-packages/numpy/core/include -I/usr/local/cuda-8.0/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/usr/include/python3.5m -c torch/csrc/cuda/Tensor.cpp -o build/temp.linux-aarch64-3.5/torch/csrc/cuda/Tensor.o -D_THP_CORE -std=c++11 -Wno-write-strings -DWITH_NUMPY -DWITH_CUDA -DCUDA_LIB_PATH=/usr/local/cuda-8.0/lib64 -DWITH_CUDNN
cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++
aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/home/nvidia/pytorch -I/home/nvidia/pytorch/torch/csrc -I/home/nvidia/pytorch/torch/lib/tmp_install/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/TH -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THPP -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THNN -I/usr/local/lib/python3.5/dist-packages/numpy/core/include -I/usr/local/cuda-8.0/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/usr/include/python3.5m -c torch/csrc/cuda/utils.cpp -o build/temp.linux-aarch64-3.5/torch/csrc/cuda/utils.o -D_THP_CORE -std=c++11 -Wno-write-strings -DWITH_NUMPY -DWITH_CUDA -DCUDA_LIB_PATH=/usr/local/cuda-8.0/lib64 -DWITH_CUDNN
cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++
aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/home/nvidia/pytorch -I/home/nvidia/pytorch/torch/csrc -I/home/nvidia/pytorch/torch/lib/tmp_install/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/TH -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THPP -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THNN -I/usr/local/lib/python3.5/dist-packages/numpy/core/include -I/usr/local/cuda-8.0/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/usr/include/python3.5m -c torch/csrc/cuda/Module.cpp -o build/temp.linux-aarch64-3.5/torch/csrc/cuda/Module.o -D_THP_CORE -std=c++11 -Wno-write-strings -DWITH_NUMPY -DWITH_CUDA -DCUDA_LIB_PATH=/usr/local/cuda-8.0/lib64 -DWITH_CUDNN
cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++
aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/home/nvidia/pytorch -I/home/nvidia/pytorch/torch/csrc -I/home/nvidia/pytorch/torch/lib/tmp_install/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/TH -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THPP -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THNN -I/usr/local/lib/python3.5/dist-packages/numpy/core/include -I/usr/local/cuda-8.0/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/usr/include/python3.5m -c torch/csrc/cuda/serialization.cpp -o build/temp.linux-aarch64-3.5/torch/csrc/cuda/serialization.o -D_THP_CORE -std=c++11 -Wno-write-strings -DWITH_NUMPY -DWITH_CUDA -DCUDA_LIB_PATH=/usr/local/cuda-8.0/lib64 -DWITH_CUDNN
cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++
aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/home/nvidia/pytorch -I/home/nvidia/pytorch/torch/csrc -I/home/nvidia/pytorch/torch/lib/tmp_install/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/TH -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THPP -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THNN -I/usr/local/lib/python3.5/dist-packages/numpy/core/include -I/usr/local/cuda-8.0/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/usr/include/python3.5m -c torch/csrc/cuda/Storage.cpp -o build/temp.linux-aarch64-3.5/torch/csrc/cuda/Storage.o -D_THP_CORE -std=c++11 -Wno-write-strings -DWITH_NUMPY -DWITH_CUDA -DCUDA_LIB_PATH=/usr/local/cuda-8.0/lib64 -DWITH_CUDNN
cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++
aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/home/nvidia/pytorch -I/home/nvidia/pytorch/torch/csrc -I/home/nvidia/pytorch/torch/lib/tmp_install/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/TH -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THPP -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THNN -I/usr/local/lib/python3.5/dist-packages/numpy/core/include -I/usr/local/cuda-8.0/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/usr/include/python3.5m -c torch/csrc/cudnn/BatchNorm.cpp -o build/temp.linux-aarch64-3.5/torch/csrc/cudnn/BatchNorm.o -D_THP_CORE -std=c++11 -Wno-write-strings -DWITH_NUMPY -DWITH_CUDA -DCUDA_LIB_PATH=/usr/local/cuda-8.0/lib64 -DWITH_CUDNN
cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++
aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/home/nvidia/pytorch -I/home/nvidia/pytorch/torch/csrc -I/home/nvidia/pytorch/torch/lib/tmp_install/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/TH -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THPP -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THNN -I/usr/local/lib/python3.5/dist-packages/numpy/core/include -I/usr/local/cuda-8.0/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/usr/include/python3.5m -c torch/csrc/cudnn/Conv.cpp -o build/temp.linux-aarch64-3.5/torch/csrc/cudnn/Conv.o -D_THP_CORE -std=c++11 -Wno-write-strings -DWITH_NUMPY -DWITH_CUDA -DCUDA_LIB_PATH=/usr/local/cuda-8.0/lib64 -DWITH_CUDNN
cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++
aarch64-linux-gnu-gcc: internal compiler error: Killed (program cc1plus)
Please submit a full bug report,
with preprocessed source if appropriate.
See file:///usr/share/doc/gcc-5/README.Bugs for instructions.
aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/home/nvidia/pytorch -I/home/nvidia/pytorch/torch/csrc -I/home/nvidia/pytorch/torch/lib/tmp_install/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/TH -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THPP -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THNN -I/usr/local/lib/python3.5/dist-packages/numpy/core/include -I/usr/local/cuda-8.0/include -I/home/nvidia/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/usr/include/python3.5m -c torch/csrc/cudnn/Handles.cpp -o build/temp.linux-aarch64-3.5/torch/csrc/cudnn/Handles.o -D_THP_CORE -std=c++11 -Wno-write-strings -DWITH_NUMPY -DWITH_CUDA -DCUDA_LIB_PATH=/usr/local/cuda-8.0/lib64 -DWITH_CUDNN
error: command 'aarch64-linux-gnu-gcc' failed with exit status 4
cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++

AttributeError: module 'torch' has no attribute 'version'

I was able to build pytorch using your instruction set, but when testing the installation, I ran into a missing attribute error (see below):

Nvidia TX1
Ubuntu 16
Python 3.5
Cmake 3.7.2

torch==0.1.10+ac9245a
torchvision==0.2.2.post3

(cv40py35) nvidia@tegra-ubuntu:~$ which cmake
/usr/local/bin/cmake
(cv40py35) nvidia@tegra-ubuntu:~$ cmake --version
cmake version 3.7.2
Cuda 8
Cudnn 5

(cv40py35) nvidia@tegra-ubuntu:~$ python3 -c 'import sys; print("\n".join(sys.path))'

/home/nvidia/.virtualenvs/cv40py35/lib/python35.zip
/home/nvidia/.virtualenvs/cv40py35/lib/python3.5
/home/nvidia/.virtualenvs/cv40py35/lib/python3.5/plat-aarch64-linux-gnu
/home/nvidia/.virtualenvs/cv40py35/lib/python3.5/lib-dynload
/usr/lib/python3.5
/usr/lib/python3.5/plat-aarch64-linux-gnu
/home/nvidia/.virtualenvs/cv40py35/lib/python3.5/site-packages

(cv40py35) nvidia@tegra-ubuntu:/~$ python
Python 3.5.2 (default, Nov 23 2017, 16:37:01)
[GCC 5.4.0 20160609] on linux
Type "help", "copyright", "credits" or "license" for more information.

import torch
print(torch.version)
Traceback (most recent call last):
File "", line 1, in
AttributeError: module 'torch' has no attribute 'version'

pytorch-install.log

CMake Error at ATen_generated_THCTensorMode.cu.o.Release.cmake:279 (message): Error generating file

Hi, I met the a error as following:
[ 18%] Building NVCC (Device) object src/ATen/CMakeFiles/ATen.dir//THC/ATen_generated_THCTensorScatterGather.cu.o
[ 18%] Building NVCC (Device) object src/ATen/CMakeFiles/ATen.dir//THC/ATen_generated_THCTensorTopK.cu.o
[ 18%] Building NVCC (Device) object src/ATen/CMakeFiles/ATen.dir//THC/ATen_generated_THCTensorSort.cu.o
[ 18%] Building NVCC (Device) object src/ATen/CMakeFiles/ATen.dir//THC/ATen_generated_THCTensorTypeUtils.cu.o
[ 19%] Building NVCC (Device) object src/ATen/CMakeFiles/ATen.dir//THC/ATen_generated_THCSortUtils.cu.o
[ 19%] Building NVCC (Device) object src/ATen/CMakeFiles/ATen.dir//THC/ATen_generated_THCTensorMode.cu.o
[ 19%] Building NVCC (Device) object src/ATen/CMakeFiles/ATen.dir//THC/generated/ATen_generated_THCTensorSortByte.cu.o
[ 19%] Building NVCC (Device) object src/ATen/CMakeFiles/ATen.dir//THC/generated/ATen_generated_THCTensorMathCompareTByte.cu.o
Killed
CMake Error at ATen_generated_THCTensorMode.cu.o.Release.cmake:279 (message):
Error generating file
/home/nvidia/pytorch/aten/build/src/ATen/CMakeFiles/ATen.dir/__/THC/./ATen_generated_THCTensorMode.cu.o

src/ATen/CMakeFiles/ATen.dir/build.make:210: recipe for target 'src/ATen/CMakeFiles/ATen.dir//THC/ATen_generated_THCTensorMode.cu.o' failed
make[2]: *** [src/ATen/CMakeFiles/ATen.dir//THC/ATen_generated_THCTensorMode.cu.o] Error 1
make[2]: *** Waiting for unfinished jobs....
CMakeFiles/Makefile2:233: recipe for target 'src/ATen/CMakeFiles/ATen.dir/all' failed
make[1]: *** [src/ATen/CMakeFiles/ATen.dir/all] Error 2
Makefile:127: recipe for target 'all' failed
make: *** [all] Error 2

have u met it?waiting for ur reply! thx

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