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Installation Error on ubuntu16.04

See original GitHub issue

Here is my env in /etc/profile. And g++ version is above 5. export CUDA_PATH=/usr/local/cuda-8.0 export CUDA_PATH=/usr/local/cuda-8.0/bin:$CUDA_PATH export PATH=/usr/local/cuda-8.0/bin:$PATH export PATH=/usr/local/cuda-8.0:$PATH export LIBRARY_PATH=/usr/local/cuda-8.0/include export CFLAGS=/usr/local/cuda-8.0/include export LDFLAGS=/usr/local/cuda-8.0/lib64 export LD_LIBRARY_PATH=/usr/local/cuda-8.0/lib64:$LD_LIBRARY_PATH

Running setup.py install for chainer ... error
    Complete output from command /usr/bin/python -u -c "import setuptools, tokenize;__file__='/tmp/pip-build-gKRvCH/chainer/setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" install --record /tmp/pip-wtNsOP-record/install-record.txt --single-version-externally-managed --compile:
    running install
    running build
    running build_py
    creating build
    creating build/lib.linux-x86_64-2.7
    creating build/lib.linux-x86_64-2.7/chainer
    copying chainer/cuda.py -> build/lib.linux-x86_64-2.7/chainer
    copying chainer/function.py -> build/lib.linux-x86_64-2.7/chainer
    copying chainer/function_set.py -> build/lib.linux-x86_64-2.7/chainer
    copying chainer/gradient_check.py -> build/lib.linux-x86_64-2.7/chainer
    copying chainer/computational_graph.py -> build/lib.linux-x86_64-2.7/chainer
    copying chainer/__init__.py -> build/lib.linux-x86_64-2.7/chainer
    copying chainer/flag.py -> build/lib.linux-x86_64-2.7/chainer
    copying chainer/variable.py -> build/lib.linux-x86_64-2.7/chainer
    copying chainer/serializer.py -> build/lib.linux-x86_64-2.7/chainer
    copying chainer/link.py -> build/lib.linux-x86_64-2.7/chainer
    copying chainer/optimizer.py -> build/lib.linux-x86_64-2.7/chainer
    creating build/lib.linux-x86_64-2.7/chainer/functions
    copying chainer/functions/__init__.py -> build/lib.linux-x86_64-2.7/chainer/functions
    creating build/lib.linux-x86_64-2.7/chainer/functions/activation
    copying chainer/functions/activation/tanh.py -> build/lib.linux-x86_64-2.7/chainer/functions/activation
    copying chainer/functions/activation/prelu.py -> build/lib.linux-x86_64-2.7/chainer/functions/activation
    copying chainer/functions/activation/sigmoid.py -> build/lib.linux-x86_64-2.7/chainer/functions/activation
    copying chainer/functions/activation/softplus.py -> build/lib.linux-x86_64-2.7/chainer/functions/activation
    copying chainer/functions/activation/log_softmax.py -> build/lib.linux-x86_64-2.7/chainer/functions/activation
    copying chainer/functions/activation/lstm.py -> build/lib.linux-x86_64-2.7/chainer/functions/activation
    copying chainer/functions/activation/softmax.py -> build/lib.linux-x86_64-2.7/chainer/functions/activation
    copying chainer/functions/activation/relu.py -> build/lib.linux-x86_64-2.7/chainer/functions/activation
    copying chainer/functions/activation/__init__.py -> build/lib.linux-x86_64-2.7/chainer/functions/activation
    copying chainer/functions/activation/maxout.py -> build/lib.linux-x86_64-2.7/chainer/functions/activation
    copying chainer/functions/activation/elu.py -> build/lib.linux-x86_64-2.7/chainer/functions/activation
    copying chainer/functions/activation/clipped_relu.py -> build/lib.linux-x86_64-2.7/chainer/functions/activation
    copying chainer/functions/activation/slstm.py -> build/lib.linux-x86_64-2.7/chainer/functions/activation
    copying chainer/functions/activation/leaky_relu.py -> build/lib.linux-x86_64-2.7/chainer/functions/activation
    creating build/lib.linux-x86_64-2.7/chainer/functions/array
    copying chainer/functions/array/expand_dims.py -> build/lib.linux-x86_64-2.7/chainer/functions/array
    copying chainer/functions/array/swapaxes.py -> build/lib.linux-x86_64-2.7/chainer/functions/array
    copying chainer/functions/array/split_axis.py -> build/lib.linux-x86_64-2.7/chainer/functions/array
    copying chainer/functions/array/select_item.py -> build/lib.linux-x86_64-2.7/chainer/functions/array
    copying chainer/functions/array/copy.py -> build/lib.linux-x86_64-2.7/chainer/functions/array
    copying chainer/functions/array/__init__.py -> build/lib.linux-x86_64-2.7/chainer/functions/array
    copying chainer/functions/array/where.py -> build/lib.linux-x86_64-2.7/chainer/functions/array
    copying chainer/functions/array/reshape.py -> build/lib.linux-x86_64-2.7/chainer/functions/array
    copying chainer/functions/array/broadcast.py -> build/lib.linux-x86_64-2.7/chainer/functions/array
    copying chainer/functions/array/transpose.py -> build/lib.linux-x86_64-2.7/chainer/functions/array
    copying chainer/functions/array/concat.py -> build/lib.linux-x86_64-2.7/chainer/functions/array
    creating build/lib.linux-x86_64-2.7/chainer/functions/caffe
    copying chainer/functions/caffe/__init__.py -> build/lib.linux-x86_64-2.7/chainer/functions/caffe
    creating build/lib.linux-x86_64-2.7/chainer/functions/connection
    copying chainer/functions/connection/embed_id.py -> build/lib.linux-x86_64-2.7/chainer/functions/connection
    copying chainer/functions/connection/bilinear.py -> build/lib.linux-x86_64-2.7/chainer/functions/connection
    copying chainer/functions/connection/linear.py -> build/lib.linux-x86_64-2.7/chainer/functions/connection
    copying chainer/functions/connection/deconvolution_2d.py -> build/lib.linux-x86_64-2.7/chainer/functions/connection
    copying chainer/functions/connection/__init__.py -> build/lib.linux-x86_64-2.7/chainer/functions/connection
    copying chainer/functions/connection/convolution_2d.py -> build/lib.linux-x86_64-2.7/chainer/functions/connection
    creating build/lib.linux-x86_64-2.7/chainer/functions/evaluation
    copying chainer/functions/evaluation/binary_accuracy.py -> build/lib.linux-x86_64-2.7/chainer/functions/evaluation
    copying chainer/functions/evaluation/__init__.py -> build/lib.linux-x86_64-2.7/chainer/functions/evaluation
    copying chainer/functions/evaluation/accuracy.py -> build/lib.linux-x86_64-2.7/chainer/functions/evaluation
    creating build/lib.linux-x86_64-2.7/chainer/functions/loss
    copying chainer/functions/loss/cross_covariance.py -> build/lib.linux-x86_64-2.7/chainer/functions/loss
    copying chainer/functions/loss/negative_sampling.py -> build/lib.linux-x86_64-2.7/chainer/functions/loss
    copying chainer/functions/loss/sigmoid_cross_entropy.py -> build/lib.linux-x86_64-2.7/chainer/functions/loss
    copying chainer/functions/loss/contrastive.py -> build/lib.linux-x86_64-2.7/chainer/functions/loss
    copying chainer/functions/loss/vae.py -> build/lib.linux-x86_64-2.7/chainer/functions/loss
    copying chainer/functions/loss/hinge.py -> build/lib.linux-x86_64-2.7/chainer/functions/loss
    copying chainer/functions/loss/__init__.py -> build/lib.linux-x86_64-2.7/chainer/functions/loss
    copying chainer/functions/loss/mean_squared_error.py -> build/lib.linux-x86_64-2.7/chainer/functions/loss
    copying chainer/functions/loss/ctc.py -> build/lib.linux-x86_64-2.7/chainer/functions/loss
    copying chainer/functions/loss/softmax_cross_entropy.py -> build/lib.linux-x86_64-2.7/chainer/functions/loss
    creating build/lib.linux-x86_64-2.7/chainer/functions/math
    copying chainer/functions/math/inv.py -> build/lib.linux-x86_64-2.7/chainer/functions/math
    copying chainer/functions/math/batch_l2_norm_squared.py -> build/lib.linux-x86_64-2.7/chainer/functions/math
    copying chainer/functions/math/det.py -> build/lib.linux-x86_64-2.7/chainer/functions/math
    copying chainer/functions/math/trigonometric.py -> build/lib.linux-x86_64-2.7/chainer/functions/math
    copying chainer/functions/math/exponential.py -> build/lib.linux-x86_64-2.7/chainer/functions/math
    copying chainer/functions/math/sum.py -> build/lib.linux-x86_64-2.7/chainer/functions/math
    copying chainer/functions/math/__init__.py -> build/lib.linux-x86_64-2.7/chainer/functions/math
    copying chainer/functions/math/basic_math.py -> build/lib.linux-x86_64-2.7/chainer/functions/math
    copying chainer/functions/math/minmax.py -> build/lib.linux-x86_64-2.7/chainer/functions/math
    copying chainer/functions/math/matmul.py -> build/lib.linux-x86_64-2.7/chainer/functions/math
    copying chainer/functions/math/identity.py -> build/lib.linux-x86_64-2.7/chainer/functions/math
    creating build/lib.linux-x86_64-2.7/chainer/functions/noise
    copying chainer/functions/noise/gaussian.py -> build/lib.linux-x86_64-2.7/chainer/functions/noise
    copying chainer/functions/noise/dropout.py -> build/lib.linux-x86_64-2.7/chainer/functions/noise
    copying chainer/functions/noise/__init__.py -> build/lib.linux-x86_64-2.7/chainer/functions/noise
    creating build/lib.linux-x86_64-2.7/chainer/functions/normalization
    copying chainer/functions/normalization/local_response_normalization.py -> build/lib.linux-x86_64-2.7/chainer/functions/normalization
    copying chainer/functions/normalization/batch_normalization.py -> build/lib.linux-x86_64-2.7/chainer/functions/normalization
    copying chainer/functions/normalization/__init__.py -> build/lib.linux-x86_64-2.7/chainer/functions/normalization
    creating build/lib.linux-x86_64-2.7/chainer/functions/pooling
    copying chainer/functions/pooling/pooling_2d.py -> build/lib.linux-x86_64-2.7/chainer/functions/pooling
    copying chainer/functions/pooling/average_pooling_2d.py -> build/lib.linux-x86_64-2.7/chainer/functions/pooling
    copying chainer/functions/pooling/unpooling_2d.py -> build/lib.linux-x86_64-2.7/chainer/functions/pooling
    copying chainer/functions/pooling/spatial_pyramid_pooling_2d.py -> build/lib.linux-x86_64-2.7/chainer/functions/pooling
    copying chainer/functions/pooling/__init__.py -> build/lib.linux-x86_64-2.7/chainer/functions/pooling
    copying chainer/functions/pooling/max_pooling_2d.py -> build/lib.linux-x86_64-2.7/chainer/functions/pooling
    creating build/lib.linux-x86_64-2.7/chainer/links
    copying chainer/links/__init__.py -> build/lib.linux-x86_64-2.7/chainer/links
    creating build/lib.linux-x86_64-2.7/chainer/links/activation
    copying chainer/links/activation/prelu.py -> build/lib.linux-x86_64-2.7/chainer/links/activation
    copying chainer/links/activation/__init__.py -> build/lib.linux-x86_64-2.7/chainer/links/activation
    copying chainer/links/activation/maxout.py -> build/lib.linux-x86_64-2.7/chainer/links/activation
    creating build/lib.linux-x86_64-2.7/chainer/links/caffe
    copying chainer/links/caffe/caffe_function.py -> build/lib.linux-x86_64-2.7/chainer/links/caffe
    copying chainer/links/caffe/caffe_pb2.py -> build/lib.linux-x86_64-2.7/chainer/links/caffe
    copying chainer/links/caffe/__init__.py -> build/lib.linux-x86_64-2.7/chainer/links/caffe
    creating build/lib.linux-x86_64-2.7/chainer/links/connection
    copying chainer/links/connection/embed_id.py -> build/lib.linux-x86_64-2.7/chainer/links/connection
    copying chainer/links/connection/bilinear.py -> build/lib.linux-x86_64-2.7/chainer/links/connection
    copying chainer/links/connection/lstm.py -> build/lib.linux-x86_64-2.7/chainer/links/connection
    copying chainer/links/connection/linear.py -> build/lib.linux-x86_64-2.7/chainer/links/connection
    copying chainer/links/connection/inceptionbn.py -> build/lib.linux-x86_64-2.7/chainer/links/connection
    copying chainer/links/connection/deconvolution_2d.py -> build/lib.linux-x86_64-2.7/chainer/links/connection
    copying chainer/links/connection/__init__.py -> build/lib.linux-x86_64-2.7/chainer/links/connection
    copying chainer/links/connection/parameter.py -> build/lib.linux-x86_64-2.7/chainer/links/connection
    copying chainer/links/connection/mlp_convolution_2d.py -> build/lib.linux-x86_64-2.7/chainer/links/connection
    copying chainer/links/connection/inception.py -> build/lib.linux-x86_64-2.7/chainer/links/connection
    copying chainer/links/connection/convolution_2d.py -> build/lib.linux-x86_64-2.7/chainer/links/connection
    copying chainer/links/connection/gru.py -> build/lib.linux-x86_64-2.7/chainer/links/connection
    creating build/lib.linux-x86_64-2.7/chainer/links/loss
    copying chainer/links/loss/negative_sampling.py -> build/lib.linux-x86_64-2.7/chainer/links/loss
    copying chainer/links/loss/__init__.py -> build/lib.linux-x86_64-2.7/chainer/links/loss
    copying chainer/links/loss/hierarchical_softmax.py -> build/lib.linux-x86_64-2.7/chainer/links/loss
    creating build/lib.linux-x86_64-2.7/chainer/links/model
    copying chainer/links/model/classifier.py -> build/lib.linux-x86_64-2.7/chainer/links/model
    copying chainer/links/model/__init__.py -> build/lib.linux-x86_64-2.7/chainer/links/model
    creating build/lib.linux-x86_64-2.7/chainer/links/normalization
    copying chainer/links/normalization/batch_normalization.py -> build/lib.linux-x86_64-2.7/chainer/links/normalization
    copying chainer/links/normalization/__init__.py -> build/lib.linux-x86_64-2.7/chainer/links/normalization
    creating build/lib.linux-x86_64-2.7/chainer/optimizers
    copying chainer/optimizers/ada_delta.py -> build/lib.linux-x86_64-2.7/chainer/optimizers
    copying chainer/optimizers/ada_grad.py -> build/lib.linux-x86_64-2.7/chainer/optimizers
    copying chainer/optimizers/sgd.py -> build/lib.linux-x86_64-2.7/chainer/optimizers
    copying chainer/optimizers/nesterov_ag.py -> build/lib.linux-x86_64-2.7/chainer/optimizers
    copying chainer/optimizers/adam.py -> build/lib.linux-x86_64-2.7/chainer/optimizers
    copying chainer/optimizers/__init__.py -> build/lib.linux-x86_64-2.7/chainer/optimizers
    copying chainer/optimizers/rmsprop.py -> build/lib.linux-x86_64-2.7/chainer/optimizers
    copying chainer/optimizers/momentum_sgd.py -> build/lib.linux-x86_64-2.7/chainer/optimizers
    copying chainer/optimizers/rmsprop_graves.py -> build/lib.linux-x86_64-2.7/chainer/optimizers
    creating build/lib.linux-x86_64-2.7/chainer/serializers
    copying chainer/serializers/npz.py -> build/lib.linux-x86_64-2.7/chainer/serializers
    copying chainer/serializers/__init__.py -> build/lib.linux-x86_64-2.7/chainer/serializers
    copying chainer/serializers/hdf5.py -> build/lib.linux-x86_64-2.7/chainer/serializers
    creating build/lib.linux-x86_64-2.7/chainer/testing
    copying chainer/testing/parameterized.py -> build/lib.linux-x86_64-2.7/chainer/testing
    copying chainer/testing/attr.py -> build/lib.linux-x86_64-2.7/chainer/testing
    copying chainer/testing/__init__.py -> build/lib.linux-x86_64-2.7/chainer/testing
    copying chainer/testing/condition.py -> build/lib.linux-x86_64-2.7/chainer/testing
    creating build/lib.linux-x86_64-2.7/chainer/utils
    copying chainer/utils/array.py -> build/lib.linux-x86_64-2.7/chainer/utils
    copying chainer/utils/conv.py -> build/lib.linux-x86_64-2.7/chainer/utils
    copying chainer/utils/walker_alias.py -> build/lib.linux-x86_64-2.7/chainer/utils
    copying chainer/utils/type_check.py -> build/lib.linux-x86_64-2.7/chainer/utils
    copying chainer/utils/__init__.py -> build/lib.linux-x86_64-2.7/chainer/utils
    creating build/lib.linux-x86_64-2.7/cupy
    copying cupy/internal.py -> build/lib.linux-x86_64-2.7/cupy
    copying cupy/cudnn.py -> build/lib.linux-x86_64-2.7/cupy
    copying cupy/__init__.py -> build/lib.linux-x86_64-2.7/cupy
    creating build/lib.linux-x86_64-2.7/cupy/binary
    copying cupy/binary/elementwise.py -> build/lib.linux-x86_64-2.7/cupy/binary
    copying cupy/binary/__init__.py -> build/lib.linux-x86_64-2.7/cupy/binary
    copying cupy/binary/packing.py -> build/lib.linux-x86_64-2.7/cupy/binary
    creating build/lib.linux-x86_64-2.7/cupy/core
    copying cupy/core/__init__.py -> build/lib.linux-x86_64-2.7/cupy/core
    creating build/lib.linux-x86_64-2.7/cupy/creation
    copying cupy/creation/basic.py -> build/lib.linux-x86_64-2.7/cupy/creation
    copying cupy/creation/from_data.py -> build/lib.linux-x86_64-2.7/cupy/creation
    copying cupy/creation/ranges.py -> build/lib.linux-x86_64-2.7/cupy/creation
    copying cupy/creation/__init__.py -> build/lib.linux-x86_64-2.7/cupy/creation
    copying cupy/creation/matrix.py -> build/lib.linux-x86_64-2.7/cupy/creation
    creating build/lib.linux-x86_64-2.7/cupy/cuda
    copying cupy/cuda/compiler.py -> build/lib.linux-x86_64-2.7/cupy/cuda
    copying cupy/cuda/stream.py -> build/lib.linux-x86_64-2.7/cupy/cuda
    copying cupy/cuda/__init__.py -> build/lib.linux-x86_64-2.7/cupy/cuda
    creating build/lib.linux-x86_64-2.7/cupy/indexing
    copying cupy/indexing/insert.py -> build/lib.linux-x86_64-2.7/cupy/indexing
    copying cupy/indexing/__init__.py -> build/lib.linux-x86_64-2.7/cupy/indexing
    copying cupy/indexing/generate.py -> build/lib.linux-x86_64-2.7/cupy/indexing
    copying cupy/indexing/indexing.py -> build/lib.linux-x86_64-2.7/cupy/indexing
    creating build/lib.linux-x86_64-2.7/cupy/io
    copying cupy/io/text.py -> build/lib.linux-x86_64-2.7/cupy/io
    copying cupy/io/npz.py -> build/lib.linux-x86_64-2.7/cupy/io
    copying cupy/io/__init__.py -> build/lib.linux-x86_64-2.7/cupy/io
    copying cupy/io/rawfile.py -> build/lib.linux-x86_64-2.7/cupy/io
    copying cupy/io/formatting.py -> build/lib.linux-x86_64-2.7/cupy/io
    creating build/lib.linux-x86_64-2.7/cupy/linalg
    copying cupy/linalg/eigenvalue.py -> build/lib.linux-x86_64-2.7/cupy/linalg
    copying cupy/linalg/__init__.py -> build/lib.linux-x86_64-2.7/cupy/linalg
    copying cupy/linalg/norm.py -> build/lib.linux-x86_64-2.7/cupy/linalg
    copying cupy/linalg/product.py -> build/lib.linux-x86_64-2.7/cupy/linalg
    copying cupy/linalg/solve.py -> build/lib.linux-x86_64-2.7/cupy/linalg
    copying cupy/linalg/decomposition.py -> build/lib.linux-x86_64-2.7/cupy/linalg
    creating build/lib.linux-x86_64-2.7/cupy/logic
    copying cupy/logic/ops.py -> build/lib.linux-x86_64-2.7/cupy/logic
    copying cupy/logic/truth.py -> build/lib.linux-x86_64-2.7/cupy/logic
    copying cupy/logic/comparison.py -> build/lib.linux-x86_64-2.7/cupy/logic
    copying cupy/logic/type_test.py -> build/lib.linux-x86_64-2.7/cupy/logic
    copying cupy/logic/__init__.py -> build/lib.linux-x86_64-2.7/cupy/logic
    copying cupy/logic/content.py -> build/lib.linux-x86_64-2.7/cupy/logic
    creating build/lib.linux-x86_64-2.7/cupy/manipulation
    copying cupy/manipulation/tiling.py -> build/lib.linux-x86_64-2.7/cupy/manipulation
    copying cupy/manipulation/split.py -> build/lib.linux-x86_64-2.7/cupy/manipulation
    copying cupy/manipulation/join.py -> build/lib.linux-x86_64-2.7/cupy/manipulation
    copying cupy/manipulation/basic.py -> build/lib.linux-x86_64-2.7/cupy/manipulation
    copying cupy/manipulation/dims.py -> build/lib.linux-x86_64-2.7/cupy/manipulation
    copying cupy/manipulation/rearrange.py -> build/lib.linux-x86_64-2.7/cupy/manipulation
    copying cupy/manipulation/__init__.py -> build/lib.linux-x86_64-2.7/cupy/manipulation
    copying cupy/manipulation/shape.py -> build/lib.linux-x86_64-2.7/cupy/manipulation
    copying cupy/manipulation/add_remove.py -> build/lib.linux-x86_64-2.7/cupy/manipulation
    copying cupy/manipulation/kind.py -> build/lib.linux-x86_64-2.7/cupy/manipulation
    copying cupy/manipulation/transpose.py -> build/lib.linux-x86_64-2.7/cupy/manipulation
    creating build/lib.linux-x86_64-2.7/cupy/math
    copying cupy/math/misc.py -> build/lib.linux-x86_64-2.7/cupy/math
    copying cupy/math/explog.py -> build/lib.linux-x86_64-2.7/cupy/math
    copying cupy/math/special.py -> build/lib.linux-x86_64-2.7/cupy/math
    copying cupy/math/arithmetic.py -> build/lib.linux-x86_64-2.7/cupy/math
    copying cupy/math/rounding.py -> build/lib.linux-x86_64-2.7/cupy/math
    copying cupy/math/trigonometric.py -> build/lib.linux-x86_64-2.7/cupy/math
    copying cupy/math/hyperbolic.py -> build/lib.linux-x86_64-2.7/cupy/math
    copying cupy/math/sumprod.py -> build/lib.linux-x86_64-2.7/cupy/math
    copying cupy/math/floating.py -> build/lib.linux-x86_64-2.7/cupy/math
    copying cupy/math/ufunc.py -> build/lib.linux-x86_64-2.7/cupy/math
    copying cupy/math/__init__.py -> build/lib.linux-x86_64-2.7/cupy/math
    creating build/lib.linux-x86_64-2.7/cupy/padding
    copying cupy/padding/__init__.py -> build/lib.linux-x86_64-2.7/cupy/padding
    creating build/lib.linux-x86_64-2.7/cupy/random
    copying cupy/random/distributions.py -> build/lib.linux-x86_64-2.7/cupy/random
    copying cupy/random/sample.py -> build/lib.linux-x86_64-2.7/cupy/random
    copying cupy/random/__init__.py -> build/lib.linux-x86_64-2.7/cupy/random
    copying cupy/random/generator.py -> build/lib.linux-x86_64-2.7/cupy/random
    copying cupy/random/permutations.py -> build/lib.linux-x86_64-2.7/cupy/random
    creating build/lib.linux-x86_64-2.7/cupy/sorting
    copying cupy/sorting/count.py -> build/lib.linux-x86_64-2.7/cupy/sorting
    copying cupy/sorting/sort.py -> build/lib.linux-x86_64-2.7/cupy/sorting
    copying cupy/sorting/__init__.py -> build/lib.linux-x86_64-2.7/cupy/sorting
    copying cupy/sorting/search.py -> build/lib.linux-x86_64-2.7/cupy/sorting
    creating build/lib.linux-x86_64-2.7/cupy/statistics
    copying cupy/statistics/histogram.py -> build/lib.linux-x86_64-2.7/cupy/statistics
    copying cupy/statistics/order.py -> build/lib.linux-x86_64-2.7/cupy/statistics
    copying cupy/statistics/__init__.py -> build/lib.linux-x86_64-2.7/cupy/statistics
    copying cupy/statistics/meanvar.py -> build/lib.linux-x86_64-2.7/cupy/statistics
    copying cupy/statistics/correlation.py -> build/lib.linux-x86_64-2.7/cupy/statistics
    creating build/lib.linux-x86_64-2.7/cupy/testing
    copying cupy/testing/parameterized.py -> build/lib.linux-x86_64-2.7/cupy/testing
    copying cupy/testing/attr.py -> build/lib.linux-x86_64-2.7/cupy/testing
    copying cupy/testing/array.py -> build/lib.linux-x86_64-2.7/cupy/testing
    copying cupy/testing/helper.py -> build/lib.linux-x86_64-2.7/cupy/testing
    copying cupy/testing/__init__.py -> build/lib.linux-x86_64-2.7/cupy/testing
    copying cupy/testing/condition.py -> build/lib.linux-x86_64-2.7/cupy/testing
    copying cupy/testing/hypothesis.py -> build/lib.linux-x86_64-2.7/cupy/testing
    copying cupy/core/carray.cuh -> build/lib.linux-x86_64-2.7/cupy/core
    running build_ext
    Executing cythonize
    Options: {'profile': False, 'annotate': False, 'linetrace': False, 'no_cuda': False}
    Include directories: ['/usr/local/cuda-8.0/include', '/usr/local/lib/python2.7/dist-packages/numpy/core/include']
    Library directories: ['/usr/local/cuda-8.0/lib64']
    creating /tmp/tmpL0Zqls/tmp
    creating /tmp/tmpL0Zqls/tmp/tmpL0Zqls
    x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC -I/usr/local/cuda-8.0/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -c /tmp/tmpL0Zqls/a.cpp -o /tmp/tmpL0Zqls/tmp/tmpL0Zqls/a.o
    cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
    x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security /tmp/tmpL0Zqls/tmp/tmpL0Zqls/a.o -o /tmp/tmpL0Zqls/liba.so
    creating /tmp/tmpE1k9V6/tmp
    creating /tmp/tmpE1k9V6/tmp/tmpE1k9V6
    x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC -c /tmp/tmpE1k9V6/a.cpp -o /tmp/tmpE1k9V6/tmp/tmpE1k9V6/a.o
    cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
    x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security /tmp/tmpE1k9V6/tmp/tmpE1k9V6/a.o -L/usr/local/cuda-8.0/lib64 -lcublas -lcuda -lcudart -lcurand -o /tmp/tmpE1k9V6/liba.so
    creating /tmp/tmp8B6y9d/tmp
    creating /tmp/tmp8B6y9d/tmp/tmp8B6y9d
    x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC -I/usr/local/cuda-8.0/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -c /tmp/tmp8B6y9d/a.cpp -o /tmp/tmp8B6y9d/tmp/tmp8B6y9d/a.o
    cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
    x86_64-linux-gnu-gcc -pthread /tmp/tmp8B6y9d/tmp/tmp8B6y9d/a.o -o /tmp/tmp8B6y9d/a
    Include directories: ['/usr/local/cuda-8.0/include', '/usr/local/lib/python2.7/dist-packages/numpy/core/include']
    Library directories: ['/usr/local/cuda-8.0/lib64']
    creating /tmp/tmpoIEV7e/tmp
    creating /tmp/tmpoIEV7e/tmp/tmpoIEV7e
    x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC -I/usr/local/cuda-8.0/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -c /tmp/tmpoIEV7e/a.cpp -o /tmp/tmpoIEV7e/tmp/tmpoIEV7e/a.o
    cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
    x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security /tmp/tmpoIEV7e/tmp/tmpoIEV7e/a.o -o /tmp/tmpoIEV7e/liba.so
    creating /tmp/tmpzcKXp7/tmp
    creating /tmp/tmpzcKXp7/tmp/tmpzcKXp7
    x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC -c /tmp/tmpzcKXp7/a.cpp -o /tmp/tmpzcKXp7/tmp/tmpzcKXp7/a.o
    cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
    x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security /tmp/tmpzcKXp7/tmp/tmpzcKXp7/a.o -L/usr/local/cuda-8.0/lib64 -lcudnn -o /tmp/tmpzcKXp7/liba.so
    creating /tmp/tmpH9guPA/tmp
    creating /tmp/tmpH9guPA/tmp/tmpH9guPA
    x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC -I/usr/local/cuda-8.0/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -c /tmp/tmpH9guPA/a.cpp -o /tmp/tmpH9guPA/tmp/tmpH9guPA/a.o
    cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
    x86_64-linux-gnu-gcc -pthread /tmp/tmpH9guPA/tmp/tmpH9guPA/a.o -o /tmp/tmpH9guPA/a
    cython path:/usr/local/lib/python2.7/dist-packages
    building 'cupy.core.core' extension
    creating build/temp.linux-x86_64-2.7
    creating build/temp.linux-x86_64-2.7/cupy
    creating build/temp.linux-x86_64-2.7/cupy/core
    x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC -I/usr/local/cuda-8.0/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c cupy/core/core.cpp -o build/temp.linux-x86_64-2.7/cupy/core/core.o
    cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
    cupy/core/core.cpp: In function ‘__pyx_obj_4cupy_4core_4core_ndarray* __pyx_f_4cupy_4core_4core_7ndarray__transpose(__pyx_obj_4cupy_4core_4core_ndarray*, std::vector<long int>, int)’:
    cupy/core/core.cpp:8631:37: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
       __pyx_t_7 = ((__pyx_v_axes.size() != __pyx_v_ndim) != 0);
                                         ^
    cupy/core/core.cpp: In function ‘__pyx_obj_4cupy_4core_4core_ndarray* __pyx_f_4cupy_4core_4core_7ndarray_squeeze(__pyx_obj_4cupy_4core_4core_ndarray*, int, __pyx_opt_args_4cupy_4core_4core_7ndarray_squeeze*)’:
    cupy/core/core.cpp:10350:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
         __pyx_t_7 = ((__pyx_v_j < __pyx_v_vec_axis.size()) != 0);
                                 ^
    cupy/core/core.cpp:10356:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
         __pyx_t_7 = ((__pyx_v_i == (__pyx_v_vec_axis[__pyx_v_j])) != 0);
                                 ^
    cupy/core/core.cpp: In function ‘__pyx_obj_4cupy_4core_4core_ndarray* __pyx_f_4cupy_4core_4core_7ndarray_reduced_view(__pyx_obj_4cupy_4core_4core_ndarray*, int, __pyx_opt_args_4cupy_4core_4core_7ndarray_reduced_view*)’:
    cupy/core/core.cpp:24149:30: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
       __pyx_t_6 = ((__pyx_v_ndim == __pyx_v_shape.size()) != 0);
                                  ^
    cupy/core/core.cpp: In function ‘PyObject* __pyx_f_4cupy_4core_4core__reduce_dims(PyObject*, PyObject*, PyObject*, int)’:
    cupy/core/core.cpp:29916:35: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
         for (__pyx_t_9 = 0; __pyx_t_9 < __pyx_t_8; __pyx_t_9+=1) {
                                       ^
    cupy/core/core.cpp: In function ‘int __pyx_pf_4cupy_4core_4core_9broadcast___init__(__pyx_obj_4cupy_4core_4core_broadcast*, PyObject*)’:
    cupy/core/core.cpp:52531:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
         if (((__pyx_t_6 > __pyx_t_7) != 0)) {
                         ^
    cupy/core/core.cpp:52614:35: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
         for (__pyx_t_9 = 0; __pyx_t_9 < __pyx_t_8; __pyx_t_9+=1) {
                                       ^
    cupy/core/core.cpp:52624:31: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
           __pyx_t_5 = ((__pyx_v_i < (__pyx_v_shape_arr[__pyx_v_j]).size()) != 0);
                                   ^
    c++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/cupy/core/core.o -L/usr/local/cuda-8.0/lib64 -Wl,-R/usr/local/cuda-8.0/lib64 -lcublas -lcuda -lcudart -lcurand -o build/lib.linux-x86_64-2.7/cupy/core/core.so
    building 'cupy.core.flags' extension
    x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC -I/usr/local/cuda-8.0/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c cupy/core/flags.cpp -o build/temp.linux-x86_64-2.7/cupy/core/flags.o
    cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
    c++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/cupy/core/flags.o -L/usr/local/cuda-8.0/lib64 -Wl,-R/usr/local/cuda-8.0/lib64 -lcublas -lcuda -lcudart -lcurand -o build/lib.linux-x86_64-2.7/cupy/core/flags.so
    building 'cupy.core.internal' extension
    x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC -I/usr/local/cuda-8.0/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c cupy/core/internal.cpp -o build/temp.linux-x86_64-2.7/cupy/core/internal.o
    cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
    cupy/core/internal.cpp: In function ‘int __pyx_f_4cupy_4core_8internal_vector_equal(std::vector<long int>&, std::vector<long int>&, int)’:
    cupy/core/internal.cpp:1781:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
       __pyx_t_1 = ((__pyx_v_n != __pyx_v_y.size()) != 0);
                               ^
    cupy/core/internal.cpp: In function ‘void __pyx_f_4cupy_4core_8internal_get_reduced_dims(std::vector<long int>&, std::vector<long int>&, Py_ssize_t, std::vector<long int>&, std::vector<long int>&)’:
    cupy/core/internal.cpp:2224:33: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
       for (__pyx_t_2 = 0; __pyx_t_2 < __pyx_t_4; __pyx_t_2+=1) {
                                     ^
    c++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/cupy/core/internal.o -L/usr/local/cuda-8.0/lib64 -Wl,-R/usr/local/cuda-8.0/lib64 -lcublas -lcuda -lcudart -lcurand -o build/lib.linux-x86_64-2.7/cupy/core/internal.so
    building 'cupy.cuda.cublas' extension
    creating build/temp.linux-x86_64-2.7/cupy/cuda
    x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC -I/usr/local/cuda-8.0/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c cupy/cuda/cublas.cpp -o build/temp.linux-x86_64-2.7/cupy/cuda/cublas.o
    cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
    c++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/cupy/cuda/cublas.o -L/usr/local/cuda-8.0/lib64 -Wl,-R/usr/local/cuda-8.0/lib64 -lcublas -lcuda -lcudart -lcurand -o build/lib.linux-x86_64-2.7/cupy/cuda/cublas.so
    building 'cupy.cuda.curand' extension
    x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC -I/usr/local/cuda-8.0/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c cupy/cuda/curand.cpp -o build/temp.linux-x86_64-2.7/cupy/cuda/curand.o
    cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
    c++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/cupy/cuda/curand.o -L/usr/local/cuda-8.0/lib64 -Wl,-R/usr/local/cuda-8.0/lib64 -lcublas -lcuda -lcudart -lcurand -o build/lib.linux-x86_64-2.7/cupy/cuda/curand.so
    building 'cupy.cuda.device' extension
    x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC -I/usr/local/cuda-8.0/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c cupy/cuda/device.cpp -o build/temp.linux-x86_64-2.7/cupy/cuda/device.o
    cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
    cupy/cuda/device.cpp: In function ‘PyObject* __pyx_getprop_4cupy_4cuda_6device_6Device_cublas_handle(PyObject*, void*)’:
    cupy/cuda/device.cpp:5949:33: warning: ‘__pyx_v_handle’ may be used uninitialized in this function [-Wmaybe-uninitialized]
         return PyInt_FromSize_t(ival);
                                     ^
    cupy/cuda/device.cpp:2434:10: note: ‘__pyx_v_handle’ was declared here
       size_t __pyx_v_handle;
              ^
    c++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/cupy/cuda/device.o -L/usr/local/cuda-8.0/lib64 -Wl,-R/usr/local/cuda-8.0/lib64 -lcublas -lcuda -lcudart -lcurand -o build/lib.linux-x86_64-2.7/cupy/cuda/device.so
    building 'cupy.cuda.driver' extension
    x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC -I/usr/local/cuda-8.0/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c cupy/cuda/driver.cpp -o build/temp.linux-x86_64-2.7/cupy/cuda/driver.o
    cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
    c++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/cupy/cuda/driver.o -L/usr/local/cuda-8.0/lib64 -Wl,-R/usr/local/cuda-8.0/lib64 -lcublas -lcuda -lcudart -lcurand -o build/lib.linux-x86_64-2.7/cupy/cuda/driver.so
    building 'cupy.cuda.memory' extension
    x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC -I/usr/local/cuda-8.0/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c cupy/cuda/memory.cpp -o build/temp.linux-x86_64-2.7/cupy/cuda/memory.o
    cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
    c++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/cupy/cuda/memory.o -L/usr/local/cuda-8.0/lib64 -Wl,-R/usr/local/cuda-8.0/lib64 -lcublas -lcuda -lcudart -lcurand -o build/lib.linux-x86_64-2.7/cupy/cuda/memory.so
    building 'cupy.cuda.function' extension
    x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC -I/usr/local/cuda-8.0/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c cupy/cuda/function.cpp -o build/temp.linux-x86_64-2.7/cupy/cuda/function.o
    cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
    In file included from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                     from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                     from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                     from cupy/cuda/function.cpp:455:
    /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
     #warning "Using deprecated NumPy API, disable it by " \
      ^
    c++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/cupy/cuda/function.o -L/usr/local/cuda-8.0/lib64 -Wl,-R/usr/local/cuda-8.0/lib64 -lcublas -lcuda -lcudart -lcurand -o build/lib.linux-x86_64-2.7/cupy/cuda/function.so
    building 'cupy.cuda.runtime' extension
    x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC -I/usr/local/cuda-8.0/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c cupy/cuda/runtime.cpp -o build/temp.linux-x86_64-2.7/cupy/cuda/runtime.o
    cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
    c++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/cupy/cuda/runtime.o -L/usr/local/cuda-8.0/lib64 -Wl,-R/usr/local/cuda-8.0/lib64 -lcublas -lcuda -lcudart -lcurand -o build/lib.linux-x86_64-2.7/cupy/cuda/runtime.so
    building 'cupy.util' extension
    x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC -I/usr/local/cuda-8.0/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c cupy/util.cpp -o build/temp.linux-x86_64-2.7/cupy/util.o
    cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
    c++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/cupy/util.o -L/usr/local/cuda-8.0/lib64 -Wl,-R/usr/local/cuda-8.0/lib64 -lcublas -lcuda -lcudart -lcurand -o build/lib.linux-x86_64-2.7/cupy/util.so
    building 'cupy.cuda.cudnn' extension
    x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC -I/usr/local/cuda-8.0/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c cupy/cuda/cudnn.cpp -o build/temp.linux-x86_64-2.7/cupy/cuda/cudnn.o
    cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
    cupy/cuda/cudnn.cpp: In function ‘PyObject* __pyx_f_4cupy_4cuda_5cudnn_addTensor_v2(size_t, int, size_t, size_t, size_t, size_t, size_t, size_t, int)’:
    cupy/cuda/cudnn.cpp:3035:73: error: ‘cudnnAddMode_t’ was not declared in this scope
       __pyx_v_status = cudnnAddTensor_v2(((cudnnHandle_t)__pyx_v_handle), ((cudnnAddMode_t)__pyx_v_mode), ((void *)__pyx_v_alpha), ((cudnnTensorDescriptor_t)__pyx_v_biasDesc), ((void *)__pyx_v_biasData), ((void *)__pyx_v_beta), ((cudnnTensorDescriptor_t)__pyx_v_srcDestDesc), ((void *)__pyx_v_srcDestData));
                                                                             ^
    cupy/cuda/cudnn.cpp:3035:88: error: expected ‘)’ before ‘__pyx_v_mode’
       __pyx_v_status = cudnnAddTensor_v2(((cudnnHandle_t)__pyx_v_handle), ((cudnnAddMode_t)__pyx_v_mode), ((void *)__pyx_v_alpha), ((cudnnTensorDescriptor_t)__pyx_v_biasDesc), ((void *)__pyx_v_biasData), ((void *)__pyx_v_beta), ((cudnnTensorDescriptor_t)__pyx_v_srcDestDesc), ((void *)__pyx_v_srcDestData));
                                                                                            ^
    cupy/cuda/cudnn.cpp: In function ‘PyObject* __pyx_f_4cupy_4cuda_5cudnn_setFilter4dDescriptor(size_t, int, int, int, int, int, int)’:
    cupy/cuda/cudnn.cpp:3330:173: error: invalid conversion from ‘int’ to ‘cudnnTensorFormat_t’ [-fpermissive]
       __pyx_v_status = cudnnSetFilter4dDescriptor(((cudnnFilterDescriptor_t)__pyx_v_filterDesc), ((cudnnDataType_t)__pyx_v_dataType), __pyx_v_k, __pyx_v_c, __pyx_v_h, __pyx_v_w);
                                                                                                                                                                                 ^
    cupy/cuda/cudnn.cpp:3330:173: error: too few arguments to function ‘cudnnStatus_t cudnnSetFilter4dDescriptor(cudnnFilterDescriptor_t, cudnnDataType_t, cudnnTensorFormat_t, int, int, int, int)’
    In file included from cupy/cuda/cupy_cudnn.h:9:0,
                     from cupy/cuda/cudnn.cpp:446:
    /usr/local/cuda-8.0/include/cudnn.h:320:27: note: declared here
     cudnnStatus_t CUDNNWINAPI cudnnSetFilter4dDescriptor(
                               ^
    cupy/cuda/cudnn.cpp: In function ‘PyObject* __pyx_f_4cupy_4cuda_5cudnn_setFilterNdDescriptor(size_t, int, int, size_t, int)’:
    cupy/cuda/cudnn.cpp:3504:174: error: invalid conversion from ‘int’ to ‘cudnnTensorFormat_t’ [-fpermissive]
       __pyx_v_status = cudnnSetFilterNdDescriptor(((cudnnFilterDescriptor_t)__pyx_v_filterDesc), ((cudnnDataType_t)__pyx_v_dataType), __pyx_v_nbDims, ((int *)__pyx_v_filterDimA));
                                                                                                                                                                                  ^
    cupy/cuda/cudnn.cpp:3504:174: error: invalid conversion from ‘int*’ to ‘int’ [-fpermissive]
    cupy/cuda/cudnn.cpp:3504:174: error: too few arguments to function ‘cudnnStatus_t cudnnSetFilterNdDescriptor(cudnnFilterDescriptor_t, cudnnDataType_t, cudnnTensorFormat_t, int, const int*)’
    In file included from cupy/cuda/cupy_cudnn.h:9:0,
                     from cupy/cuda/cudnn.cpp:446:
    /usr/local/cuda-8.0/include/cudnn.h:340:27: note: declared here
     cudnnStatus_t CUDNNWINAPI cudnnSetFilterNdDescriptor(
                               ^
    cupy/cuda/cudnn.cpp: In function ‘PyObject* __pyx_f_4cupy_4cuda_5cudnn_setConvolutionNdDescriptor_v2(size_t, int, size_t, size_t, size_t, int, int)’:
    cupy/cuda/cudnn.cpp:4058:246: error: ‘cudnnSetConvolutionNdDescriptor_v2’ was not declared in this scope
       __pyx_v_status = cudnnSetConvolutionNdDescriptor_v2(((cudnnConvolutionDescriptor_t)__pyx_v_convDesc), __pyx_v_arrayLength, ((int *)__pyx_v_padA), ((int *)__pyx_v_filterStrideA), ((int *)__pyx_v_upscaleA), ((cudnnConvolutionMode_t)__pyx_v_mode));
                                                                                                                                                                                                                                                          ^
    cupy/cuda/cudnn.cpp: In function ‘PyObject* __pyx_f_4cupy_4cuda_5cudnn_convolutionBackwardFilter_v2(size_t, size_t, size_t, size_t, size_t, size_t, size_t, size_t, size_t, size_t, int)’:
    cupy/cuda/cudnn.cpp:5509:401: error: ‘cudnnConvolutionBackwardFilter_v2’ was not declared in this scope
       __pyx_v_status = cudnnConvolutionBackwardFilter_v2(((cudnnHandle_t)__pyx_v_handle), ((void *)__pyx_v_alpha), ((cudnnTensorDescriptor_t)__pyx_v_srcDesc), ((void *)__pyx_v_srcData), ((cudnnTensorDescriptor_t)__pyx_v_diffDesc), ((void *)__pyx_v_diffData), ((cudnnConvolutionDescriptor_t)__pyx_v_convDesc), ((void *)__pyx_v_beta), ((cudnnFilterDescriptor_t)__pyx_v_gradDesc), ((void *)__pyx_v_gradData));
                                                                                                                                                                                                                                                                                                                                                                                                                     ^
    cupy/cuda/cudnn.cpp: In function ‘PyObject* __pyx_f_4cupy_4cuda_5cudnn_convolutionBackwardFilter_v3(size_t, size_t, size_t, size_t, size_t, size_t, size_t, int, size_t, size_t, size_t, size_t, size_t, int)’:
    cupy/cuda/cudnn.cpp:5719:509: error: ‘cudnnConvolutionBackwardFilter_v3’ was not declared in this scope
       __pyx_v_status = cudnnConvolutionBackwardFilter_v3(((cudnnHandle_t)__pyx_v_handle), ((void *)__pyx_v_alpha), ((cudnnTensorDescriptor_t)__pyx_v_srcDesc), ((void *)__pyx_v_srcData), ((cudnnTensorDescriptor_t)__pyx_v_diffDesc), ((void *)__pyx_v_diffData), ((cudnnConvolutionDescriptor_t)__pyx_v_convDesc), ((cudnnConvolutionBwdFilterAlgo_t)__pyx_v_algo), ((void *)__pyx_v_workSpace), __pyx_v_workSpaceSizeInBytes, ((void *)__pyx_v_beta), ((cudnnFilterDescriptor_t)__pyx_v_gradDesc), ((void *)__pyx_v_gradData));
                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 ^
    cupy/cuda/cudnn.cpp: In function ‘PyObject* __pyx_f_4cupy_4cuda_5cudnn_convolutionBackwardData_v2(size_t, size_t, size_t, size_t, size_t, size_t, size_t, size_t, size_t, size_t, int)’:
    cupy/cuda/cudnn.cpp:6333:405: error: ‘cudnnConvolutionBackwardData_v2’ was not declared in this scope
       __pyx_v_status = cudnnConvolutionBackwardData_v2(((cudnnHandle_t)__pyx_v_handle), ((void *)__pyx_v_alpha), ((cudnnFilterDescriptor_t)__pyx_v_filterDesc), ((void *)__pyx_v_filterData), ((cudnnTensorDescriptor_t)__pyx_v_diffDesc), ((void *)__pyx_v_diffData), ((cudnnConvolutionDescriptor_t)__pyx_v_convDesc), ((void *)__pyx_v_beta), ((cudnnTensorDescriptor_t)__pyx_v_gradDesc), ((void *)__pyx_v_gradData));
                                                                                                                                                                                                                                                                                                                                                                                                                         ^
    cupy/cuda/cudnn.cpp: In function ‘PyObject* __pyx_f_4cupy_4cuda_5cudnn_convolutionBackwardData_v3(size_t, size_t, size_t, size_t, size_t, size_t, size_t, int, size_t, size_t, size_t, size_t, size_t, int)’:
    cupy/cuda/cudnn.cpp:6543:511: error: ‘cudnnConvolutionBackwardData_v3’ was not declared in this scope
       __pyx_v_status = cudnnConvolutionBackwardData_v3(((cudnnHandle_t)__pyx_v_handle), ((void *)__pyx_v_alpha), ((cudnnFilterDescriptor_t)__pyx_v_filterDesc), ((void *)__pyx_v_filterData), ((cudnnTensorDescriptor_t)__pyx_v_diffDesc), ((void *)__pyx_v_diffData), ((cudnnConvolutionDescriptor_t)__pyx_v_convDesc), ((cudnnConvolutionBwdDataAlgo_t)__pyx_v_algo), ((void *)__pyx_v_workSpace), __pyx_v_workSpaceSizeInBytes, ((void *)__pyx_v_beta), ((cudnnTensorDescriptor_t)__pyx_v_gradDesc), ((void *)__pyx_v_gradData));
                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   ^
    cupy/cuda/cudnn.cpp: In function ‘PyObject* __pyx_f_4cupy_4cuda_5cudnn_setPooling2dDescriptor(size_t, int, int, int, int, int, int, int, int)’:
    cupy/cuda/cudnn.cpp:6883:276: error: invalid conversion from ‘int’ to ‘cudnnNanPropagation_t’ [-fpermissive]
       __pyx_v_status = cudnnSetPooling2dDescriptor(((cudnnPoolingDescriptor_t)__pyx_v_poolingDesc), ((cudnnPoolingMode_t)__pyx_v_mode), __pyx_v_windowHeight, __pyx_v_windowWidth, __pyx_v_verticalPadding, __pyx_v_horizontalPadding, __pyx_v_verticalStride, __pyx_v_horizontalStride);
                                                                                                                                                                                                                                                                                        ^
    cupy/cuda/cudnn.cpp:6883:276: error: too few arguments to function ‘cudnnStatus_t cudnnSetPooling2dDescriptor(cudnnPoolingDescriptor_t, cudnnPoolingMode_t, cudnnNanPropagation_t, int, int, int, int, int, int)’
    In file included from cupy/cuda/cupy_cudnn.h:9:0,
                     from cupy/cuda/cudnn.cpp:446:
    /usr/local/cuda-8.0/include/cudnn.h:803:27: note: declared here
     cudnnStatus_t CUDNNWINAPI cudnnSetPooling2dDescriptor(
                               ^
    cupy/cuda/cudnn.cpp: In function ‘PyObject* __pyx_f_4cupy_4cuda_5cudnn_setPoolingNdDescriptor(size_t, int, int, size_t, size_t, size_t, int)’:
    cupy/cuda/cudnn.cpp:7075:229: error: invalid conversion from ‘int’ to ‘cudnnNanPropagation_t’ [-fpermissive]
       __pyx_v_status = cudnnSetPoolingNdDescriptor(((cudnnPoolingDescriptor_t)__pyx_v_poolingDesc), ((cudnnPoolingMode_t)__pyx_v_mode), __pyx_v_nbDims, ((int *)__pyx_v_windowDimA), ((int *)__pyx_v_paddingA), ((int *)__pyx_v_strideA));
                                                                                                                                                                                                                                         ^
    cupy/cuda/cudnn.cpp:7075:229: error: invalid conversion from ‘int*’ to ‘int’ [-fpermissive]
    cupy/cuda/cudnn.cpp:7075:229: error: too few arguments to function ‘cudnnStatus_t cudnnSetPoolingNdDescriptor(cudnnPoolingDescriptor_t, cudnnPoolingMode_t, cudnnNanPropagation_t, int, const int*, const int*, const int*)’
    In file included from cupy/cuda/cupy_cudnn.h:9:0,
                     from cupy/cuda/cudnn.cpp:446:
    /usr/local/cuda-8.0/include/cudnn.h:825:27: note: declared here
     cudnnStatus_t CUDNNWINAPI cudnnSetPoolingNdDescriptor(
                               ^
    cupy/cuda/cudnn.cpp: In function ‘PyObject* __pyx_f_4cupy_4cuda_5cudnn_activationForward(size_t, int, size_t, size_t, size_t, size_t, size_t, size_t, int)’:
    cupy/cuda/cudnn.cpp:8192:304: error: cannot convert ‘cudnnActivationMode_t’ to ‘cudnnActivationDescriptor_t {aka cudnnActivationStruct*}’ for argument ‘2’ to ‘cudnnStatus_t cudnnActivationForward(cudnnHandle_t, cudnnActivationDescriptor_t, const void*, cudnnTensorDescriptor_t, const void*, const void*, cudnnTensorDescriptor_t, void*)’
       __pyx_v_status = cudnnActivationForward(((cudnnHandle_t)__pyx_v_handle), ((cudnnActivationMode_t)__pyx_v_mode), ((void *)__pyx_v_alpha), ((cudnnTensorDescriptor_t)__pyx_v_srcDesc), ((void *)__pyx_v_srcData), ((void *)__pyx_v_beta), ((cudnnTensorDescriptor_t)__pyx_v_dstDesc), ((void *)__pyx_v_dstData));
                                                                                                                                                                                                                                                                                                                    ^
    cupy/cuda/cudnn.cpp: In function ‘PyObject* __pyx_f_4cupy_4cuda_5cudnn_activationBackward(size_t, int, size_t, size_t, size_t, size_t, size_t, size_t, size_t, size_t, size_t, size_t, int)’:
    cupy/cuda/cudnn.cpp:8384:467: error: cannot convert ‘cudnnActivationMode_t’ to ‘cudnnActivationDescriptor_t {aka cudnnActivationStruct*}’ for argument ‘2’ to ‘cudnnStatus_t cudnnActivationBackward(cudnnHandle_t, cudnnActivationDescriptor_t, const void*, cudnnTensorDescriptor_t, const void*, cudnnTensorDescriptor_t, const void*, cudnnTensorDescriptor_t, const void*, const void*, cudnnTensorDescriptor_t, void*)’
       __pyx_v_status = cudnnActivationBackward(((cudnnHandle_t)__pyx_v_handle), ((cudnnActivationMode_t)__pyx_v_mode), ((void *)__pyx_v_alpha), ((cudnnTensorDescriptor_t)__pyx_v_srcDesc), ((void *)__pyx_v_srcData), ((cudnnTensorDescriptor_t)__pyx_v_srcDiffDesc), ((void *)__pyx_v_srcDiffData), ((cudnnTensorDescriptor_t)__pyx_v_destDesc), ((void *)__pyx_v_destData), ((void *)__pyx_v_beta), ((cudnnTensorDescriptor_t)__pyx_v_destDiffDesc), ((void *)__pyx_v_destDiffData));
                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       ^
    error: command 'x86_64-linux-gnu-gcc' failed with exit status 1
    
    ----------------------------------------
Command "/usr/bin/python -u -c "import setuptools, tokenize;__file__='/tmp/pip-build-gKRvCH/chainer/setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" install --record /tmp/pip-wtNsOP-record/install-record.txt --single-version-externally-managed --compile" failed with error code 1 in /tmp/pip-build-gKRvCH/chainer/

Issue Analytics

  • State:closed
  • Created 6 years ago
  • Comments:9 (5 by maintainers)

github_iconTop GitHub Comments

3reactions
unnonounocommented, Apr 16, 2017

The first compile error

Maybe your have too new version of cuDNN. Chainer v1.7 only support cuDNN v2, v3 and v4. https://github.com/pfnet/chainer/tree/v1.7.0 Use latest version of Chainer or use old version of cuDNN.

The second runtime error

As an error message says, your GPU memory is not enough. cupy.cuda.runtime.CUDARuntimeError: cudaErrorMemoryAllocation: out of memory Reduce batch size or use GPUs which has larger video memory.

But I still can only use gpu 0.

If you want to use multiple GPUs, you need to write code to use multiple GPUs. See this example. https://github.com/pfnet/chainer/blob/master/examples/mnist/train_mnist_data_parallel.py

0reactions
unnonounocommented, Oct 6, 2017

Can i close this issue?

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BLAS error at backward of F.sum of L.Convolution2d

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Training slows down dramatically as epochs proceed in CPU