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 oftmpnam' 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++

I downloaded cmake 3.7.2 and rebuilt, but I ran into the same exact error (aarch64-linux-gnu-gcc: internal compiler error) and location. This could just be a memory issue since I tried building without swap space (usb drive)...Any thoughts?

(cv40py35) nvidia@tegra-ubuntu:~/pytorch$ cmake --version cmake version 3.7.2

CMake suite maintained and supported by Kitware (kitware.com/cmake).

[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 -- Up-to-date: /home/nvidia/pytorch/torch/lib/tmp_install/include/THPP/THPP.h -- Up-to-date: /home/nvidia/pytorch/torch/lib/tmp_install/include/THPP/Storage.hpp -- Up-to-date: /home/nvidia/pytorch/torch/lib/tmp_install/include/THPP/Tensor.hpp -- Up-to-date: /home/nvidia/pytorch/torch/lib/tmp_install/include/THPP/Traits.hpp -- Up-to-date: /home/nvidia/pytorch/torch/lib/tmp_install/include/THPP/TraitsCuda.hpp -- Up-to-date: /home/nvidia/pytorch/torch/lib/tmp_install/include/THPP/Type.hpp -- Up-to-date: /home/nvidia/pytorch/torch/lib/tmp_install/include/THPP/storages/THCStorage.hpp -- Up-to-date: /home/nvidia/pytorch/torch/lib/tmp_install/include/THPP/storages/THStorage.hpp -- Up-to-date: /home/nvidia/pytorch/torch/lib/tmp_install/include/THPP/storages/generic/THCStorage.hpp -- Up-to-date: /home/nvidia/pytorch/torch/lib/tmp_install/include/THPP/storages/generic/THStorage.hpp -- Up-to-date: /home/nvidia/pytorch/torch/lib/tmp_install/include/THPP/tensors/THCSTensor.hpp -- Up-to-date: /home/nvidia/pytorch/torch/lib/tmp_install/include/THPP/tensors/THCTensor.hpp -- Up-to-date: /home/nvidia/pytorch/torch/lib/tmp_install/include/THPP/tensors/THSTensor.hpp -- Up-to-date: /home/nvidia/pytorch/torch/lib/tmp_install/include/THPP/tensors/THTensor.hpp -- Up-to-date: /home/nvidia/pytorch/torch/lib/tmp_install/include/THPP/tensors/generic/THCSTensor.hpp -- Up-to-date: /home/nvidia/pytorch/torch/lib/tmp_install/include/THPP/tensors/generic/THCTensor.hpp -- Up-to-date: /home/nvidia/pytorch/torch/lib/tmp_install/include/THPP/tensors/generic/THSTensor.hpp -- Up-to-date: /home/nvidia/pytorch/torch/lib/tmp_install/include/THPP/tensors/generic/THTensor.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 -- Configuring done -- Generating done -- Build files have been written to: /home/nvidia/pytorch/torch/lib/build/libshm Scanning dependencies of target shm Scanning dependencies of target torch_shm_manager [ 25%] Building CXX object CMakeFiles/shm.dir/core.cpp.o [ 50%] Building CXX object CMakeFiles/torch_shm_manager.dir/manager.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 oftmpnam' 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 -- Up-to-date: /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 copying torch/version.py -> build/lib.linux-aarch64-3.5/torch 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 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 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 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 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 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/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/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/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/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/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 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++ 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/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/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: 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/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 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++

andrewadare / jetson-tx2-pytorch

Install Error: "aarch64-linux-gnu-gcc: internal compiler error" #5