Incubator-mxnet: ld: library not found for -llibopencv_stitching.3.3.1.dylib

Created on 1 Nov 2017  路  9Comments  路  Source: apache/incubator-mxnet

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Description

Build from source on macOS failed

Environment info (Required)

macOS 10.13
opencv 3.3.1

The full error information is

cd /Users/odin/local/mxnet/dmlc-core; /Library/Developer/CommandLineTools/usr/bin/make libdmlc.a USE_SSE=1 config=/Users/odin/local/mxnet/config.mk; cd /Users/odin/local/mxnet
make[1]: `libdmlc.a' is up to date.
g++ -DMSHADOW_FORCE_STREAM -Wall -Wsign-compare -O3 -DNDEBUG=1 -I/Users/odin/local/mxnet/mshadow/ -I/Users/odin/local/mxnet/dmlc-core/include -fPIC -I/Users/odin/local/mxnet/nnvm/include -I/Users/odin/local/mxnet/dlpack/include -Iinclude -funroll-loops -Wno-unused-variable -Wno-unused-parameter -Wno-unknown-pragmas -Wno-unused-local-typedefs -msse3 -I/usr/local/cuda/include -DMSHADOW_USE_CBLAS=1 -DMSHADOW_USE_MKL=0 -DMSHADOW_RABIT_PS=0 -DMSHADOW_DIST_PS=0 -DMSHADOW_USE_PASCAL=0 -DMXNET_USE_OPENCV=1 -I/usr/local/Cellar/opencv/3.3.1_1/include/opencv -I/usr/local/Cellar/opencv/3.3.1_1/include -DMSHADOW_USE_CUDNN=1  -I/usr/local/opt/openblas/include -I/Users/odin/local/mxnet/cub -DMXNET_USE_NVRTC=0 -shared -o lib/libmxnet.so build/src/operator/contrib/count_sketch.o build/src/operator/contrib/ctc_loss.o build/src/operator/contrib/deformable_convolution.o build/src/operator/contrib/deformable_psroi_pooling.o build/src/operator/contrib/dequantize.o build/src/operator/contrib/fft.o build/src/operator/contrib/ifft.o build/src/operator/contrib/multi_proposal.o build/src/operator/contrib/multibox_detection.o build/src/operator/contrib/multibox_prior.o build/src/operator/contrib/multibox_target.o build/src/operator/contrib/proposal.o build/src/operator/contrib/psroi_pooling.o build/src/operator/contrib/quantize.o build/src/operator/custom/custom.o build/src/operator/custom/native_op.o build/src/operator/custom/ndarray_op.o build/src/operator/mkl/mkl_cppwrapper.o build/src/operator/mkl/mkl_memory.o build/src/operator/nn/softmax.o build/src/operator/nnpack/nnpack_util.o build/src/operator/random/multisample_op.o build/src/operator/random/sample_multinomial_op.o build/src/operator/random/sample_op.o build/src/operator/tensor/broadcast_reduce_op_index.o build/src/operator/tensor/broadcast_reduce_op_value.o build/src/operator/tensor/control_flow_op.o build/src/operator/tensor/elemwise_binary_broadcast_op_basic.o build/src/operator/tensor/elemwise_binary_broadcast_op_extended.o build/src/operator/tensor/elemwise_binary_broadcast_op_logic.o build/src/operator/tensor/elemwise_binary_op_basic.o build/src/operator/tensor/elemwise_binary_op_extended.o build/src/operator/tensor/elemwise_binary_op_logic.o build/src/operator/tensor/elemwise_binary_scalar_op_basic.o build/src/operator/tensor/elemwise_binary_scalar_op_extended.o build/src/operator/tensor/elemwise_binary_scalar_op_logic.o build/src/operator/tensor/elemwise_sum.o build/src/operator/tensor/elemwise_unary_op.o build/src/operator/tensor/indexing_op.o build/src/operator/tensor/init_op.o build/src/operator/tensor/la_op.o build/src/operator/tensor/matrix_op.o build/src/operator/tensor/ordering_op.o build/src/c_api/c_api.o build/src/c_api/c_api_error.o build/src/c_api/c_api_executor.o build/src/c_api/c_api_function.o build/src/c_api/c_api_ndarray.o build/src/c_api/c_api_symbolic.o build/src/c_api/c_predict_api.o build/src/common/mxrtc.o build/src/engine/engine.o build/src/engine/naive_engine.o build/src/engine/profiler.o build/src/engine/threaded_engine.o build/src/engine/threaded_engine_perdevice.o build/src/engine/threaded_engine_pooled.o build/src/executor/attach_op_execs_pass.o build/src/executor/attach_op_resource_pass.o build/src/executor/graph_executor.o build/src/executor/inplace_addto_detect_pass.o build/src/io/image_aug_default.o build/src/io/image_det_aug_default.o build/src/io/image_io.o build/src/io/io.o build/src/io/iter_csv.o build/src/io/iter_image_det_recordio.o build/src/io/iter_image_recordio.o build/src/io/iter_image_recordio_2.o build/src/io/iter_mnist.o build/src/kvstore/kvstore.o build/src/ndarray/autograd.o build/src/ndarray/ndarray.o build/src/ndarray/ndarray_function.o build/src/nnvm/legacy_json_util.o build/src/nnvm/legacy_op_util.o build/src/operator/activation.o build/src/operator/batch_norm.o build/src/operator/batch_norm_v1.o build/src/operator/bilinear_sampler.o build/src/operator/concat.o build/src/operator/convolution.o build/src/operator/convolution_v1.o build/src/operator/correlation.o build/src/operator/crop.o build/src/operator/cross_device_copy.o build/src/operator/cudnn_algoreg.o build/src/operator/cudnn_batch_norm.o build/src/operator/deconvolution.o build/src/operator/dropout.o build/src/operator/fully_connected.o build/src/operator/grid_generator.o build/src/operator/identity_attach_KL_sparse_reg.o build/src/operator/instance_norm.o build/src/operator/l2_normalization.o build/src/operator/leaky_relu.o build/src/operator/loss_binary_op.o build/src/operator/lrn.o build/src/operator/make_loss.o build/src/operator/operator.o build/src/operator/operator_util.o build/src/operator/optimizer_op.o build/src/operator/pad.o build/src/operator/pooling.o build/src/operator/pooling_v1.o build/src/operator/regression_output.o build/src/operator/rnn.o build/src/operator/roi_pooling.o build/src/operator/sequence_last.o build/src/operator/sequence_mask.o build/src/operator/sequence_reverse.o build/src/operator/slice_channel.o build/src/operator/softmax_activation.o build/src/operator/softmax_output.o build/src/operator/spatial_transformer.o build/src/operator/svm_output.o build/src/operator/swapaxis.o build/src/operator/upsampling.o build/src/storage/storage.o build/src/initialize.o build/src/resource.o /Users/odin/local/mxnet/dmlc-core/libdmlc.a build/src/operator/contrib/count_sketch_gpu.o build/src/operator/contrib/ctc_loss_gpu.o build/src/operator/contrib/deformable_convolution_gpu.o build/src/operator/contrib/deformable_psroi_pooling_gpu.o build/src/operator/contrib/dequantize_gpu.o build/src/operator/contrib/fft_gpu.o build/src/operator/contrib/ifft_gpu.o build/src/operator/contrib/multi_proposal_gpu.o build/src/operator/contrib/multibox_detection_gpu.o build/src/operator/contrib/multibox_prior_gpu.o build/src/operator/contrib/multibox_target_gpu.o build/src/operator/contrib/proposal_gpu.o build/src/operator/contrib/psroi_pooling_gpu.o build/src/operator/contrib/quantize_gpu.o build/src/operator/custom/native_op_gpu.o build/src/operator/nn/softmax_gpu.o build/src/operator/random/sample_multinomial_op_gpu.o build/src/operator/random/sample_op_gpu.o build/src/operator/tensor/broadcast_reduce_op_index_gpu.o build/src/operator/tensor/broadcast_reduce_op_value_gpu.o build/src/operator/tensor/control_flow_op_gpu.o build/src/operator/tensor/elemwise_binary_broadcast_op_basic_gpu.o build/src/operator/tensor/elemwise_binary_broadcast_op_extended_gpu.o build/src/operator/tensor/elemwise_binary_broadcast_op_logic_gpu.o build/src/operator/tensor/elemwise_binary_op_basic_gpu.o build/src/operator/tensor/elemwise_binary_op_extended_gpu.o build/src/operator/tensor/elemwise_binary_op_logic_gpu.o build/src/operator/tensor/elemwise_binary_scalar_op_basic_gpu.o build/src/operator/tensor/elemwise_binary_scalar_op_extended_gpu.o build/src/operator/tensor/elemwise_binary_scalar_op_logic_gpu.o build/src/operator/tensor/elemwise_sum_gpu.o build/src/operator/tensor/elemwise_unary_op_gpu.o build/src/operator/tensor/indexing_op_gpu.o build/src/operator/tensor/init_op_gpu.o build/src/operator/tensor/la_op_gpu.o build/src/operator/tensor/matrix_op_gpu.o build/src/operator/tensor/ordering_op_gpu.o build/src/ndarray/ndarray_function_gpu.o build/src/operator/activation_gpu.o build/src/operator/batch_norm_gpu.o build/src/operator/batch_norm_v1_gpu.o build/src/operator/bilinear_sampler_gpu.o build/src/operator/concat_gpu.o build/src/operator/convolution_gpu.o build/src/operator/convolution_v1_gpu.o build/src/operator/correlation_gpu.o build/src/operator/crop_gpu.o build/src/operator/cudnn_batch_norm_gpu.o build/src/operator/deconvolution_gpu.o build/src/operator/dropout_gpu.o build/src/operator/fully_connected_gpu.o build/src/operator/grid_generator_gpu.o build/src/operator/identity_attach_KL_sparse_reg_gpu.o build/src/operator/instance_norm_gpu.o build/src/operator/l2_normalization_gpu.o build/src/operator/leaky_relu_gpu.o build/src/operator/loss_binary_op_gpu.o build/src/operator/lrn_gpu.o build/src/operator/make_loss_gpu.o build/src/operator/optimizer_op_gpu.o build/src/operator/pad_gpu.o build/src/operator/pooling_gpu.o build/src/operator/pooling_v1_gpu.o build/src/operator/regression_output_gpu.o build/src/operator/rnn_gpu.o build/src/operator/roi_pooling_gpu.o build/src/operator/sequence_last_gpu.o build/src/operator/sequence_mask_gpu.o build/src/operator/sequence_reverse_gpu.o build/src/operator/slice_channel_gpu.o build/src/operator/softmax_activation_gpu.o build/src/operator/softmax_output_gpu.o build/src/operator/spatial_transformer_gpu.o build/src/operator/svm_output_gpu.o build/src/operator/swapaxis_gpu.o build/src/operator/upsampling_gpu.o -pthread -lm -lcudart -lcublas -lcurand -lcusolver -L/usr/local/cuda/lib64 -L/usr/local/cuda/lib -lopenblas  -L/usr/local/Cellar/opencv/3.3.1_1/lib -llibopencv_stitching.3.3.1.dylib -llibopencv_superres.3.3.1.dylib -llibopencv_videostab.3.3.1.dylib -llibopencv_photo.3.3.1.dylib -llibopencv_aruco.3.3.1.dylib -llibopencv_bgsegm.3.3.1.dylib -llibopencv_bioinspired.3.3.1.dylib -llibopencv_ccalib.3.3.1.dylib -llibopencv_dpm.3.3.1.dylib -llibopencv_face.3.3.1.dylib -llibopencv_fuzzy.3.3.1.dylib -llibopencv_img_hash.3.3.1.dylib -llibopencv_line_descriptor.3.3.1.dylib -llibopencv_optflow.3.3.1.dylib -llibopencv_reg.3.3.1.dylib -llibopencv_rgbd.3.3.1.dylib -llibopencv_saliency.3.3.1.dylib -llibopencv_stereo.3.3.1.dylib -llibopencv_structured_light.3.3.1.dylib -llibopencv_phase_unwrapping.3.3.1.dylib -llibopencv_surface_matching.3.3.1.dylib -llibopencv_tracking.3.3.1.dylib -llibopencv_datasets.3.3.1.dylib -llibopencv_text.3.3.1.dylib -llibopencv_dnn.3.3.1.dylib -llibopencv_plot.3.3.1.dylib -llibopencv_xfeatures2d.3.3.1.dylib -llibopencv_shape.3.3.1.dylib -llibopencv_video.3.3.1.dylib -llibopencv_ml.3.3.1.dylib -llibopencv_ximgproc.3.3.1.dylib -llibopencv_calib3d.3.3.1.dylib -llibopencv_features2d.3.3.1.dylib -llibopencv_highgui.3.3.1.dylib -llibopencv_videoio.3.3.1.dylib -llibopencv_flann.3.3.1.dylib -llibopencv_xobjdetect.3.3.1.dylib -llibopencv_imgcodecs.3.3.1.dylib -llibopencv_objdetect.3.3.1.dylib -llibopencv_xphoto.3.3.1.dylib -llibopencv_imgproc.3.3.1.dylib -llibopencv_core.3.3.1.dylib -lcudnn  -L/usr/local/opt/openblas/lib -L/usr/local/lib/graphviz/ -L/usr/local/opt/opencv/lib -lcuda -lcufft \
     -Wl,-all_load /Users/odin/local/mxnet/nnvm/lib/libnnvm.a -Wl,-noall_load
clang: warning: argument unused during compilation: '-pthread'
ld: warning: directory not found for option '-L/usr/local/cuda/lib64'
ld: library not found for -llibopencv_stitching.3.3.1.dylib
clang: error: linker command failed with exit code 1 (use -v to see invocation)
make: *** [lib/libmxnet.so] Error 1

I have checked the opencv library in the link path, it is there

picture lightingghost

All 9 comments

did you put in the linker flag -llibopencv_stitching.3.3.1.dylib by yourself? If so, try -lopencv_stitching instead and make sure its path appear in your -L paths.

szha picture szha on 1 Nov 2017

Though even that may not be necessary since mxnet is not using the stitcher. Only opencv_core, opencv_imgcodecs and opencv_imgproc are needed.

szha picture szha on 1 Nov 2017

Thanks @szha for help. I did not put any additional option in the config file. Here is my config file

export CC = gcc
export CXX = g++
export NVCC = nvcc

# whether compile with options for MXNet developer
DEV = 0

# whether compile with debug
DEBUG = 0

# the additional link flags you want to add
ADD_LDFLAGS =

# the additional compile flags you want to add
ADD_CFLAGS =

#---------------------------------------------
# matrix computation libraries for CPU/GPU
#---------------------------------------------

# whether use CUDA during compile
USE_CUDA = 0

# add the path to CUDA library to link and compile flag
# if you have already add them to environment variable, leave it as NONE
# USE_CUDA_PATH = /usr/local/cuda
USE_CUDA_PATH = NONE

# whether use CUDNN R3 library
USE_CUDNN = 0

# whether use cuda runtime compiling for writing kernels in native language (i.e. Python)
USE_NVRTC = 0

# whether use opencv during compilation
# you can disable it, however, you will not able to use
# imbin iterator
USE_OPENCV = 0

# use openmp for parallelization
USE_OPENMP = 0

# choose the version of blas you want to use
# can be: mkl, blas, atlas, openblas
USE_BLAS = apple

# whether use lapack during compilation
# only effective when compiled with blas versions openblas/apple/atlas/mkl
USE_LAPACK = 1

# add path to intel library, you may need it for MKL, if you did not add the path
# to environment variable
USE_INTEL_PATH = NONE

#----------------------------
# distributed computing
#----------------------------

# whether or not to enable multi-machine supporting
USE_DIST_KVSTORE = 0

# whether or not allow to read and write HDFS directly. If yes, then hadoop is
# required
USE_HDFS = 0

# path to libjvm.so. required if USE_HDFS=1
LIBJVM=$(JAVA_HOME)/jre/lib/amd64/server

# whether or not allow to read and write AWS S3 directly. If yes, then
# libcurl4-openssl-dev is required, it can be installed on Ubuntu by
# sudo apt-get install -y libcurl4-openssl-dev
USE_S3 = 0

#----------------------------
# additional operators
#----------------------------

# path to folders containing projects specific operators that you don't want to put in src/operators
EXTRA_OPERATORS =


#----------------------------
# plugins
#----------------------------

# whether to use torch integration. This requires installing torch.
# TORCH_PATH = $(HOME)/torch
# MXNET_PLUGINS += plugin/torch/torch.mk
USE_BLAS = openblas
ADD_CFLAGS += -I/usr/local/opt/openblas/include
ADD_LDFLAGS += -L/usr/local/opt/openblas/lib
ADD_LDFLAGS += -L/usr/local/lib/graphviz/
ADD_LDFLAGS += -L/usr/local/opt/opencv/lib
USE_CUDA = 1
USE_CUDA_PATH = /usr/local/cuda
USE_CUDNN = 1
lightingghost picture lightingghost on 1 Nov 2017

Then most likely it was introduced by pkg-config. Is there an opencv.pc file in /usr/local/opt/opencv/lib/pkgconfig/? If so, could you edit it to only include the libraries I listed above?

szha picture szha on 1 Nov 2017
👍1

@szha Thanks for your help. Now it comes with another problem T_T

cd /Users/odin/local/mxnet/dmlc-core; /Library/Developer/CommandLineTools/usr/bin/make libdmlc.a USE_SSE=1 config=/Users/odin/local/mxnet/config.mk; cd /Users/odin/local/mxnet
make[1]: `libdmlc.a' is up to date.
Libs field occurs twice in '/usr/local/lib/pkgconfig/opencv.pc'
Libs field occurs twice in '/usr/local/lib/pkgconfig/opencv.pc'
g++ -DMSHADOW_FORCE_STREAM -Wall -Wsign-compare -O3 -DNDEBUG=1 -I/Users/odin/local/mxnet/mshadow/ -I/Users/odin/local/mxnet/dmlc-core/include -fPIC -I/Users/odin/local/mxnet/nnvm/include -I/Users/odin/local/mxnet/dlpack/include -Iinclude -funroll-loops -Wno-unused-variable -Wno-unused-parameter -Wno-unknown-pragmas -Wno-unused-local-typedefs -msse3 -I/usr/local/cuda/include -DMSHADOW_USE_CBLAS=1 -DMSHADOW_USE_MKL=0 -DMSHADOW_RABIT_PS=0 -DMSHADOW_DIST_PS=0 -DMSHADOW_USE_PASCAL=0 -DMXNET_USE_OPENCV=1  -DMSHADOW_USE_CUDNN=1  -I/usr/local/opt/openblas/include -I/Users/odin/local/mxnet/cub -DMXNET_USE_NVRTC=0 -shared -o lib/libmxnet.so build/src/operator/contrib/count_sketch.o build/src/operator/contrib/ctc_loss.o build/src/operator/contrib/deformable_convolution.o build/src/operator/contrib/deformable_psroi_pooling.o build/src/operator/contrib/dequantize.o build/src/operator/contrib/fft.o build/src/operator/contrib/ifft.o build/src/operator/contrib/multi_proposal.o build/src/operator/contrib/multibox_detection.o build/src/operator/contrib/multibox_prior.o build/src/operator/contrib/multibox_target.o build/src/operator/contrib/proposal.o build/src/operator/contrib/psroi_pooling.o build/src/operator/contrib/quantize.o build/src/operator/custom/custom.o build/src/operator/custom/native_op.o build/src/operator/custom/ndarray_op.o build/src/operator/mkl/mkl_cppwrapper.o build/src/operator/mkl/mkl_memory.o build/src/operator/nn/softmax.o build/src/operator/nnpack/nnpack_util.o build/src/operator/random/multisample_op.o build/src/operator/random/sample_multinomial_op.o build/src/operator/random/sample_op.o build/src/operator/tensor/broadcast_reduce_op_index.o build/src/operator/tensor/broadcast_reduce_op_value.o build/src/operator/tensor/control_flow_op.o build/src/operator/tensor/elemwise_binary_broadcast_op_basic.o build/src/operator/tensor/elemwise_binary_broadcast_op_extended.o build/src/operator/tensor/elemwise_binary_broadcast_op_logic.o build/src/operator/tensor/elemwise_binary_op_basic.o build/src/operator/tensor/elemwise_binary_op_extended.o build/src/operator/tensor/elemwise_binary_op_logic.o build/src/operator/tensor/elemwise_binary_scalar_op_basic.o build/src/operator/tensor/elemwise_binary_scalar_op_extended.o build/src/operator/tensor/elemwise_binary_scalar_op_logic.o build/src/operator/tensor/elemwise_sum.o build/src/operator/tensor/elemwise_unary_op.o build/src/operator/tensor/indexing_op.o build/src/operator/tensor/init_op.o build/src/operator/tensor/la_op.o build/src/operator/tensor/matrix_op.o build/src/operator/tensor/ordering_op.o build/src/c_api/c_api.o build/src/c_api/c_api_error.o build/src/c_api/c_api_executor.o build/src/c_api/c_api_function.o build/src/c_api/c_api_ndarray.o build/src/c_api/c_api_symbolic.o build/src/c_api/c_predict_api.o build/src/common/mxrtc.o build/src/engine/engine.o build/src/engine/naive_engine.o build/src/engine/profiler.o build/src/engine/threaded_engine.o build/src/engine/threaded_engine_perdevice.o build/src/engine/threaded_engine_pooled.o build/src/executor/attach_op_execs_pass.o build/src/executor/attach_op_resource_pass.o build/src/executor/graph_executor.o build/src/executor/inplace_addto_detect_pass.o build/src/io/image_aug_default.o build/src/io/image_det_aug_default.o build/src/io/image_io.o build/src/io/io.o build/src/io/iter_csv.o build/src/io/iter_image_det_recordio.o build/src/io/iter_image_recordio.o build/src/io/iter_image_recordio_2.o build/src/io/iter_mnist.o build/src/kvstore/kvstore.o build/src/ndarray/autograd.o build/src/ndarray/ndarray.o build/src/ndarray/ndarray_function.o build/src/nnvm/legacy_json_util.o build/src/nnvm/legacy_op_util.o build/src/operator/activation.o build/src/operator/batch_norm.o build/src/operator/batch_norm_v1.o build/src/operator/bilinear_sampler.o build/src/operator/concat.o build/src/operator/convolution.o build/src/operator/convolution_v1.o build/src/operator/correlation.o build/src/operator/crop.o build/src/operator/cross_device_copy.o build/src/operator/cudnn_algoreg.o build/src/operator/cudnn_batch_norm.o build/src/operator/deconvolution.o build/src/operator/dropout.o build/src/operator/fully_connected.o build/src/operator/grid_generator.o build/src/operator/identity_attach_KL_sparse_reg.o build/src/operator/instance_norm.o build/src/operator/l2_normalization.o build/src/operator/leaky_relu.o build/src/operator/loss_binary_op.o build/src/operator/lrn.o build/src/operator/make_loss.o build/src/operator/operator.o build/src/operator/operator_util.o build/src/operator/optimizer_op.o build/src/operator/pad.o build/src/operator/pooling.o build/src/operator/pooling_v1.o build/src/operator/regression_output.o build/src/operator/rnn.o build/src/operator/roi_pooling.o build/src/operator/sequence_last.o build/src/operator/sequence_mask.o build/src/operator/sequence_reverse.o build/src/operator/slice_channel.o build/src/operator/softmax_activation.o build/src/operator/softmax_output.o build/src/operator/spatial_transformer.o build/src/operator/svm_output.o build/src/operator/swapaxis.o build/src/operator/upsampling.o build/src/storage/storage.o build/src/initialize.o build/src/resource.o /Users/odin/local/mxnet/dmlc-core/libdmlc.a build/src/operator/contrib/count_sketch_gpu.o build/src/operator/contrib/ctc_loss_gpu.o build/src/operator/contrib/deformable_convolution_gpu.o build/src/operator/contrib/deformable_psroi_pooling_gpu.o build/src/operator/contrib/dequantize_gpu.o build/src/operator/contrib/fft_gpu.o build/src/operator/contrib/ifft_gpu.o build/src/operator/contrib/multi_proposal_gpu.o build/src/operator/contrib/multibox_detection_gpu.o build/src/operator/contrib/multibox_prior_gpu.o build/src/operator/contrib/multibox_target_gpu.o build/src/operator/contrib/proposal_gpu.o build/src/operator/contrib/psroi_pooling_gpu.o build/src/operator/contrib/quantize_gpu.o build/src/operator/custom/native_op_gpu.o build/src/operator/nn/softmax_gpu.o build/src/operator/random/sample_multinomial_op_gpu.o build/src/operator/random/sample_op_gpu.o build/src/operator/tensor/broadcast_reduce_op_index_gpu.o build/src/operator/tensor/broadcast_reduce_op_value_gpu.o build/src/operator/tensor/control_flow_op_gpu.o build/src/operator/tensor/elemwise_binary_broadcast_op_basic_gpu.o build/src/operator/tensor/elemwise_binary_broadcast_op_extended_gpu.o build/src/operator/tensor/elemwise_binary_broadcast_op_logic_gpu.o build/src/operator/tensor/elemwise_binary_op_basic_gpu.o build/src/operator/tensor/elemwise_binary_op_extended_gpu.o build/src/operator/tensor/elemwise_binary_op_logic_gpu.o build/src/operator/tensor/elemwise_binary_scalar_op_basic_gpu.o build/src/operator/tensor/elemwise_binary_scalar_op_extended_gpu.o build/src/operator/tensor/elemwise_binary_scalar_op_logic_gpu.o build/src/operator/tensor/elemwise_sum_gpu.o build/src/operator/tensor/elemwise_unary_op_gpu.o build/src/operator/tensor/indexing_op_gpu.o build/src/operator/tensor/init_op_gpu.o build/src/operator/tensor/la_op_gpu.o build/src/operator/tensor/matrix_op_gpu.o build/src/operator/tensor/ordering_op_gpu.o build/src/ndarray/ndarray_function_gpu.o build/src/operator/activation_gpu.o build/src/operator/batch_norm_gpu.o build/src/operator/batch_norm_v1_gpu.o build/src/operator/bilinear_sampler_gpu.o build/src/operator/concat_gpu.o build/src/operator/convolution_gpu.o build/src/operator/convolution_v1_gpu.o build/src/operator/correlation_gpu.o build/src/operator/crop_gpu.o build/src/operator/cudnn_batch_norm_gpu.o build/src/operator/deconvolution_gpu.o build/src/operator/dropout_gpu.o build/src/operator/fully_connected_gpu.o build/src/operator/grid_generator_gpu.o build/src/operator/identity_attach_KL_sparse_reg_gpu.o build/src/operator/instance_norm_gpu.o build/src/operator/l2_normalization_gpu.o build/src/operator/leaky_relu_gpu.o build/src/operator/loss_binary_op_gpu.o build/src/operator/lrn_gpu.o build/src/operator/make_loss_gpu.o build/src/operator/optimizer_op_gpu.o build/src/operator/pad_gpu.o build/src/operator/pooling_gpu.o build/src/operator/pooling_v1_gpu.o build/src/operator/regression_output_gpu.o build/src/operator/rnn_gpu.o build/src/operator/roi_pooling_gpu.o build/src/operator/sequence_last_gpu.o build/src/operator/sequence_mask_gpu.o build/src/operator/sequence_reverse_gpu.o build/src/operator/slice_channel_gpu.o build/src/operator/softmax_activation_gpu.o build/src/operator/softmax_output_gpu.o build/src/operator/spatial_transformer_gpu.o build/src/operator/svm_output_gpu.o build/src/operator/swapaxis_gpu.o build/src/operator/upsampling_gpu.o -pthread -lm -lcudart -lcublas -lcurand -lcusolver -L/usr/local/cuda/lib64 -L/usr/local/cuda/lib -lopenblas   -lcudnn  -L/usr/local/opt/openblas/lib -L/usr/local/lib/graphviz/ -L/usr/local/opt/opencv/lib -lcuda -lcufft \
     -Wl,-all_load /Users/odin/local/mxnet/nnvm/lib/libnnvm.a -Wl,-noall_load
clang: warning: argument unused during compilation: '-pthread'
ld: warning: directory not found for option '-L/usr/local/cuda/lib64'
ld: warning: option -noall_load is obsolete and being ignored
Undefined symbols for architecture x86_64:
  "cv::warpAffine(cv::_InputArray const&, cv::_OutputArray const&, cv::_InputArray const&, cv::Size_<int>, int, int, cv::Scalar_<double> const&)", referenced from:
      mxnet::io::DefaultImageAugmenter::Process(cv::Mat const&, std::__1::vector<float, std::__1::allocator<float> >*, std::__1::mersenne_twister_engine<unsigned int, 32ul, 624ul, 397ul, 31ul, 2567483615u, 11ul, 4294967295u, 7ul, 2636928640u, 15ul, 4022730752u, 18ul, 1812433253u>*) in image_aug_default.o
  "cv::copyMakeBorder(cv::_InputArray const&, cv::_OutputArray const&, int, int, int, int, int, cv::Scalar_<double> const&)", referenced from:
      mxnet::io::DefaultImageAugmenter::Process(cv::Mat const&, std::__1::vector<float, std::__1::allocator<float> >*, std::__1::mersenne_twister_engine<unsigned int, 32ul, 624ul, 397ul, 31ul, 2567483615u, 11ul, 4294967295u, 7ul, 2636928640u, 15ul, 4022730752u, 18ul, 1812433253u>*) in image_aug_default.o
      mxnet::io::DefaultImageDetAugmenter::Process(cv::Mat const&, std::__1::vector<float, std::__1::allocator<float> >*, std::__1::mersenne_twister_engine<unsigned int, 32ul, 624ul, 397ul, 31ul, 2567483615u, 11ul, 4294967295u, 7ul, 2636928640u, 15ul, 4022730752u, 18ul, 1812433253u>*) in image_det_aug_default.o
      mxnet::io::copyMakeBorder(nnvm::NodeAttrs const&, mxnet::OpContext const&, std::__1::vector<mxnet::TBlob, std::__1::allocator<mxnet::TBlob> > const&, std::__1::vector<mxnet::OpReqType, std::__1::allocator<mxnet::OpReqType> > const&, std::__1::vector<mxnet::TBlob, std::__1::allocator<mxnet::TBlob> > const&) in image_io.o
  "cv::Mat::deallocate()", referenced from:
      mxnet::io::DefaultImageAugmenter::DefaultImageAugmenter() in image_aug_default.o
      mxnet::io::DefaultImageAugmenter::Process(cv::Mat const&, std::__1::vector<float, std::__1::allocator<float> >*, std::__1::mersenne_twister_engine<unsigned int, 32ul, 624ul, 397ul, 31ul, 2567483615u, 11ul, 4294967295u, 7ul, 2636928640u, 15ul, 4022730752u, 18ul, 1812433253u>*) in image_aug_default.o
      cv::Mat::operator=(cv::Mat const&) in image_aug_default.o
      mxnet::io::DefaultImageAugmenter::~DefaultImageAugmenter() in image_aug_default.o
      mxnet::io::DefaultImageDetAugmenter::Process(cv::Mat const&, std::__1::vector<float, std::__1::allocator<float> >*, std::__1::mersenne_twister_engine<unsigned int, 32ul, 624ul, 397ul, 31ul, 2567483615u, 11ul, 4294967295u, 7ul, 2636928640u, 15ul, 4022730752u, 18ul, 1812433253u>*) in image_det_aug_default.o
      mxnet::io::DefaultImageDetAugmenter::~DefaultImageDetAugmenter() in image_det_aug_default.o
      mxnet::io::DefaultImageDetAugmenter::~DefaultImageDetAugmenter() in image_det_aug_default.o
      ...
  "cv::Mat::create(int, int const*, int)", referenced from:
      mxnet::io::DefaultImageAugmenter::DefaultImageAugmenter() in image_aug_default.o
      mxnet::io::DefaultImageAugmenter::Process(cv::Mat const&, std::__1::vector<float, std::__1::allocator<float> >*, std::__1::mersenne_twister_engine<unsigned int, 32ul, 624ul, 397ul, 31ul, 2567483615u, 11ul, 4294967295u, 7ul, 2636928640u, 15ul, 4022730752u, 18ul, 1812433253u>*) in image_aug_default.o
  "cv::Mat::copySize(cv::Mat const&)", referenced from:
      cv::Mat::operator=(cv::Mat const&) in image_aug_default.o
      mxnet::io::DefaultImageDetAugmenter::Process(cv::Mat const&, std::__1::vector<float, std::__1::allocator<float> >*, std::__1::mersenne_twister_engine<unsigned int, 32ul, 624ul, 397ul, 31ul, 2567483615u, 11ul, 4294967295u, 7ul, 2636928640u, 15ul, 4022730752u, 18ul, 1812433253u>*) in image_det_aug_default.o
      cv::Mat::operator=(cv::Mat const&) in image_det_aug_default.o
  "cv::Mat::Mat(cv::Mat const&, cv::Rect_<int> const&)", referenced from:
      mxnet::io::DefaultImageAugmenter::Process(cv::Mat const&, std::__1::vector<float, std::__1::allocator<float> >*, std::__1::mersenne_twister_engine<unsigned int, 32ul, 624ul, 397ul, 31ul, 2567483615u, 11ul, 4294967295u, 7ul, 2636928640u, 15ul, 4022730752u, 18ul, 1812433253u>*) in image_aug_default.o
      mxnet::io::DefaultImageDetAugmenter::Process(cv::Mat const&, std::__1::vector<float, std::__1::allocator<float> >*, std::__1::mersenne_twister_engine<unsigned int, 32ul, 624ul, 397ul, 31ul, 2567483615u, 11ul, 4294967295u, 7ul, 2636928640u, 15ul, 4022730752u, 18ul, 1812433253u>*) in image_det_aug_default.o
  "cv::flip(cv::_InputArray const&, cv::_OutputArray const&, int)", referenced from:
      mxnet::io::DefaultImageDetAugmenter::Process(cv::Mat const&, std::__1::vector<float, std::__1::allocator<float> >*, std::__1::mersenne_twister_engine<unsigned int, 32ul, 624ul, 397ul, 31ul, 2567483615u, 11ul, 4294967295u, 7ul, 2636928640u, 15ul, 4022730752u, 18ul, 1812433253u>*) in image_det_aug_default.o
  "cv::error(int, cv::String const&, char const*, char const*, int)", referenced from:
      cv::Mat::Mat(int, int, int, void*, unsigned long) in image_io.o
      cv::Mat::Mat(int, int, int, void*, unsigned long) in iter_image_det_recordio.o
      cv::Mat::Mat(int, int, int, void*, unsigned long) in iter_image_recordio.o
      cv::Mat::Mat(int, int, int, void*, unsigned long) in iter_image_recordio_2.o
      cv::Mat::Mat(int, int, int, void*, unsigned long) in ndarray.o
  "cv::String::deallocate()", referenced from:
      cvflann::anyimpl::big_any_policy<cv::String>::static_delete(void**) in image_aug_default.o
      cvflann::anyimpl::big_any_policy<cv::String>::move(void* const*, void**) in image_aug_default.o
      cvflann::anyimpl::big_any_policy<cv::String>::static_delete(void**) in image_det_aug_default.o
      cvflann::anyimpl::big_any_policy<cv::String>::move(void* const*, void**) in image_det_aug_default.o
      cv::Mat::Mat(int, int, int, void*, unsigned long) in image_io.o
      cvflann::anyimpl::big_any_policy<cv::String>::static_delete(void**) in image_io.o
      cvflann::anyimpl::big_any_policy<cv::String>::move(void* const*, void**) in image_io.o
      ...
  "cv::String::allocate(unsigned long)", referenced from:
      cv::Mat::Mat(int, int, int, void*, unsigned long) in image_io.o
      cv::Mat::Mat(int, int, int, void*, unsigned long) in iter_image_det_recordio.o
      cv::Mat::Mat(int, int, int, void*, unsigned long) in iter_image_recordio.o
      cv::Mat::Mat(int, int, int, void*, unsigned long) in iter_image_recordio_2.o
      cv::Mat::Mat(int, int, int, void*, unsigned long) in ndarray.o
  "cv::resize(cv::_InputArray const&, cv::_OutputArray const&, cv::Size_<int>, double, double, int)", referenced from:
      mxnet::io::DefaultImageAugmenter::Process(cv::Mat const&, std::__1::vector<float, std::__1::allocator<float> >*, std::__1::mersenne_twister_engine<unsigned int, 32ul, 624ul, 397ul, 31ul, 2567483615u, 11ul, 4294967295u, 7ul, 2636928640u, 15ul, 4022730752u, 18ul, 1812433253u>*) in image_aug_default.o
      mxnet::io::DefaultImageDetAugmenter::Process(cv::Mat const&, std::__1::vector<float, std::__1::allocator<float> >*, std::__1::mersenne_twister_engine<unsigned int, 32ul, 624ul, 397ul, 31ul, 2567483615u, 11ul, 4294967295u, 7ul, 2636928640u, 15ul, 4022730752u, 18ul, 1812433253u>*) in image_det_aug_default.o
      mxnet::io::Imresize(nnvm::NodeAttrs const&, mxnet::OpContext const&, std::__1::vector<mxnet::TBlob, std::__1::allocator<mxnet::TBlob> > const&, std::__1::vector<mxnet::OpReqType, std::__1::allocator<mxnet::OpReqType> > const&, std::__1::vector<mxnet::TBlob, std::__1::allocator<mxnet::TBlob> > const&) in image_io.o
  "cv::cvtColor(cv::_InputArray const&, cv::_OutputArray const&, int, int)", referenced from:
      mxnet::io::DefaultImageAugmenter::Process(cv::Mat const&, std::__1::vector<float, std::__1::allocator<float> >*, std::__1::mersenne_twister_engine<unsigned int, 32ul, 624ul, 397ul, 31ul, 2567483615u, 11ul, 4294967295u, 7ul, 2636928640u, 15ul, 4022730752u, 18ul, 1812433253u>*) in image_aug_default.o
      mxnet::io::DefaultImageDetAugmenter::Process(cv::Mat const&, std::__1::vector<float, std::__1::allocator<float> >*, std::__1::mersenne_twister_engine<unsigned int, 32ul, 624ul, 397ul, 31ul, 2567483615u, 11ul, 4294967295u, 7ul, 2636928640u, 15ul, 4022730752u, 18ul, 1812433253u>*) in image_det_aug_default.o
      mxnet::io::ImdecodeImpl(int, bool, void*, unsigned long, mxnet::NDArray*) in image_io.o
  "cv::fastFree(void*)", referenced from:
      mxnet::io::DefaultImageAugmenter::DefaultImageAugmenter() in image_aug_default.o
      mxnet::io::DefaultImageAugmenter::Process(cv::Mat const&, std::__1::vector<float, std::__1::allocator<float> >*, std::__1::mersenne_twister_engine<unsigned int, 32ul, 624ul, 397ul, 31ul, 2567483615u, 11ul, 4294967295u, 7ul, 2636928640u, 15ul, 4022730752u, 18ul, 1812433253u>*) in image_aug_default.o
      mxnet::io::DefaultImageAugmenter::~DefaultImageAugmenter() in image_aug_default.o
      mxnet::io::DefaultImageDetAugmenter::Process(cv::Mat const&, std::__1::vector<float, std::__1::allocator<float> >*, std::__1::mersenne_twister_engine<unsigned int, 32ul, 624ul, 397ul, 31ul, 2567483615u, 11ul, 4294967295u, 7ul, 2636928640u, 15ul, 4022730752u, 18ul, 1812433253u>*) in image_det_aug_default.o
      mxnet::io::DefaultImageDetAugmenter::~DefaultImageDetAugmenter() in image_det_aug_default.o
      mxnet::io::DefaultImageDetAugmenter::~DefaultImageDetAugmenter() in image_det_aug_default.o
      mxnet::io::ImdecodeImpl(int, bool, void*, unsigned long, mxnet::NDArray*) in image_io.o
      ...
  "cv::imdecode(cv::_InputArray const&, int)", referenced from:
      mxnet::io::ImdecodeImpl(int, bool, void*, unsigned long, mxnet::NDArray*) in image_io.o
      mxnet::io::ImageDetRecordIOParser<float>::ParseNext(std::__1::vector<mxnet::io::InstVector<float>, std::__1::allocator<mxnet::io::InstVector<float> > >*) in iter_image_det_recordio.o
      mxnet::io::ImageRecordIOParser<float>::ParseNext(std::__1::vector<mxnet::io::InstVector<float>, std::__1::allocator<mxnet::io::InstVector<float> > >*) in iter_image_recordio.o
      mxnet::io::ImageRecordIOParser<unsigned char>::ParseNext(std::__1::vector<mxnet::io::InstVector<unsigned char>, std::__1::allocator<mxnet::io::InstVector<unsigned char> > >*) in iter_image_recordio.o
      mxnet::io::ImageRecordIOParser2<float>::ParseChunk(dmlc::InputSplit::Blob*) in iter_image_recordio_2.o
      mxnet::io::ImageRecordIOParser2<unsigned char>::ParseChunk(dmlc::InputSplit::Blob*) in iter_image_recordio_2.o
      mxnet::Imdecode(mxnet::NDArray*, mxnet::NDArray, unsigned long, unsigned long, unsigned long, unsigned long, unsigned long, unsigned long, unsigned long, char*) in ndarray.o
      ...
  "cv::imdecode(cv::_InputArray const&, int, cv::Mat*)", referenced from:
      mxnet::io::ImdecodeImpl(int, bool, void*, unsigned long, mxnet::NDArray*) in image_io.o
  "cv::Mat::copyTo(cv::_OutputArray const&) const", referenced from:
      mxnet::io::ImdecodeImpl(int, bool, void*, unsigned long, mxnet::NDArray*) in image_io.o
  "cv::Mat::convertTo(cv::_OutputArray const&, int, double, double) const", referenced from:
      mxnet::io::DefaultImageDetAugmenter::Process(cv::Mat const&, std::__1::vector<float, std::__1::allocator<float> >*, std::__1::mersenne_twister_engine<unsigned int, 32ul, 624ul, 397ul, 31ul, 2567483615u, 11ul, 4294967295u, 7ul, 2636928640u, 15ul, 4022730752u, 18ul, 1812433253u>*) in image_det_aug_default.o
  "_cudnnGetConvolutionBackwardDataAlgorithmMaxCount", referenced from:
      MaxBackwardDataAlgos(cudnnContext*) in convolution_gpu.o
      MaxBackwardDataAlgos(cudnnContext*) in deconvolution_gpu.o
  "_cudnnGetConvolutionBackwardDataAlgorithm_v7", referenced from:
      mxnet::op::CuDNNConvolutionOp<float>::SelectAlgo(mxnet::Context const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, cudnnDataType_t, cudnnDataType_t)::'lambda'(mxnet::RunContext)::operator()(mxnet::RunContext) const in convolution_gpu.o
      mxnet::op::CuDNNConvolutionOp<double>::SelectAlgo(mxnet::Context const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, cudnnDataType_t, cudnnDataType_t)::'lambda'(mxnet::RunContext)::operator()(mxnet::RunContext) const in convolution_gpu.o
      mxnet::op::CuDNNConvolutionOp<mshadow::half::half_t>::SelectAlgo(mxnet::Context const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, cudnnDataType_t, cudnnDataType_t)::'lambda'(mxnet::RunContext)::operator()(mxnet::RunContext) const in convolution_gpu.o
      mxnet::op::CuDNNDeconvolutionOp<float>::SelectAlgo(mxnet::Context const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, cudnnDataType_t, cudnnDataType_t)::'lambda'(mxnet::RunContext)::operator()(mxnet::RunContext) const in deconvolution_gpu.o
      mxnet::op::CuDNNDeconvolutionOp<double>::SelectAlgo(mxnet::Context const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, cudnnDataType_t, cudnnDataType_t)::'lambda'(mxnet::RunContext)::operator()(mxnet::RunContext) const in deconvolution_gpu.o
      mxnet::op::CuDNNDeconvolutionOp<mshadow::half::half_t>::SelectAlgo(mxnet::Context const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, cudnnDataType_t, cudnnDataType_t)::'lambda'(mxnet::RunContext)::operator()(mxnet::RunContext) const in deconvolution_gpu.o
  "_cudnnGetConvolutionBackwardFilterAlgorithmMaxCount", referenced from:
      MaxBackwardFilterAlgos(cudnnContext*) in convolution_gpu.o
      MaxBackwardFilterAlgos(cudnnContext*) in deconvolution_gpu.o
  "_cudnnGetConvolutionBackwardFilterAlgorithm_v7", referenced from:
      mxnet::op::CuDNNConvolutionOp<float>::SelectAlgo(mxnet::Context const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, cudnnDataType_t, cudnnDataType_t)::'lambda'(mxnet::RunContext)::operator()(mxnet::RunContext) const in convolution_gpu.o
      mxnet::op::CuDNNConvolutionOp<double>::SelectAlgo(mxnet::Context const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, cudnnDataType_t, cudnnDataType_t)::'lambda'(mxnet::RunContext)::operator()(mxnet::RunContext) const in convolution_gpu.o
      mxnet::op::CuDNNConvolutionOp<mshadow::half::half_t>::SelectAlgo(mxnet::Context const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, cudnnDataType_t, cudnnDataType_t)::'lambda'(mxnet::RunContext)::operator()(mxnet::RunContext) const in convolution_gpu.o
      mxnet::op::CuDNNDeconvolutionOp<float>::SelectAlgo(mxnet::Context const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, cudnnDataType_t, cudnnDataType_t)::'lambda'(mxnet::RunContext)::operator()(mxnet::RunContext) const in deconvolution_gpu.o
      mxnet::op::CuDNNDeconvolutionOp<double>::SelectAlgo(mxnet::Context const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, cudnnDataType_t, cudnnDataType_t)::'lambda'(mxnet::RunContext)::operator()(mxnet::RunContext) const in deconvolution_gpu.o
      mxnet::op::CuDNNDeconvolutionOp<mshadow::half::half_t>::SelectAlgo(mxnet::Context const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, cudnnDataType_t, cudnnDataType_t)::'lambda'(mxnet::RunContext)::operator()(mxnet::RunContext) const in deconvolution_gpu.o
  "_cudnnGetConvolutionForwardAlgorithmMaxCount", referenced from:
      MaxForwardAlgos(cudnnContext*) in convolution_gpu.o
      MaxForwardAlgos(cudnnContext*) in deconvolution_gpu.o
  "_cudnnGetConvolutionForwardAlgorithm_v7", referenced from:
      mxnet::op::CuDNNConvolutionOp<float>::SelectAlgo(mxnet::Context const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, cudnnDataType_t, cudnnDataType_t)::'lambda'(mxnet::RunContext)::operator()(mxnet::RunContext) const in convolution_gpu.o
      mxnet::op::CuDNNConvolutionOp<double>::SelectAlgo(mxnet::Context const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, cudnnDataType_t, cudnnDataType_t)::'lambda'(mxnet::RunContext)::operator()(mxnet::RunContext) const in convolution_gpu.o
      mxnet::op::CuDNNConvolutionOp<mshadow::half::half_t>::SelectAlgo(mxnet::Context const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, cudnnDataType_t, cudnnDataType_t)::'lambda'(mxnet::RunContext)::operator()(mxnet::RunContext) const in convolution_gpu.o
      mxnet::op::CuDNNDeconvolutionOp<float>::SelectAlgo(mxnet::Context const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, cudnnDataType_t, cudnnDataType_t)::'lambda'(mxnet::RunContext)::operator()(mxnet::RunContext) const in deconvolution_gpu.o
      mxnet::op::CuDNNDeconvolutionOp<double>::SelectAlgo(mxnet::Context const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, cudnnDataType_t, cudnnDataType_t)::'lambda'(mxnet::RunContext)::operator()(mxnet::RunContext) const in deconvolution_gpu.o
      mxnet::op::CuDNNDeconvolutionOp<mshadow::half::half_t>::SelectAlgo(mxnet::Context const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, cudnnDataType_t, cudnnDataType_t)::'lambda'(mxnet::RunContext)::operator()(mxnet::RunContext) const in deconvolution_gpu.o
  "_cudnnSetConvolutionMathType", referenced from:
      mxnet::op::CuDNNConvolutionOp<float>::InitDescriptors(mxnet::Context const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, cudnnDataType_t, cudnnDataType_t) in convolution_gpu.o
      mxnet::op::CuDNNConvolutionOp<float>::SelectAlgo(mxnet::Context const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, cudnnDataType_t, cudnnDataType_t) in convolution_gpu.o
      mxnet::op::CuDNNConvolutionOp<double>::InitDescriptors(mxnet::Context const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, cudnnDataType_t, cudnnDataType_t) in convolution_gpu.o
      mxnet::op::CuDNNConvolutionOp<double>::SelectAlgo(mxnet::Context const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, cudnnDataType_t, cudnnDataType_t) in convolution_gpu.o
      mxnet::op::CuDNNConvolutionOp<mshadow::half::half_t>::InitDescriptors(mxnet::Context const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, cudnnDataType_t, cudnnDataType_t) in convolution_gpu.o
      mxnet::op::CuDNNConvolutionOp<mshadow::half::half_t>::SelectAlgo(mxnet::Context const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, cudnnDataType_t, cudnnDataType_t) in convolution_gpu.o
      mxnet::op::CuDNNDeconvolutionOp<float>::InitDescriptors(mxnet::Context const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, std::__1::vector<nnvm::TShape, std::__1::allocator<nnvm::TShape> > const&, cudnnDataType_t, cudnnDataType_t) in deconvolution_gpu.o
      ...
  "_cudnnSetRNNDescriptor_v6", referenced from:
      mxnet::op::CuDNNRNNOp<float>::Init(mshadow::Stream<mshadow::gpu>*, std::__1::vector<mxnet::TBlob, std::__1::allocator<mxnet::TBlob> > const&, std::__1::vector<mxnet::TBlob, std::__1::allocator<mxnet::TBlob> > const&) in rnn_gpu.o
      mxnet::op::CuDNNRNNOp<double>::Init(mshadow::Stream<mshadow::gpu>*, std::__1::vector<mxnet::TBlob, std::__1::allocator<mxnet::TBlob> > const&, std::__1::vector<mxnet::TBlob, std::__1::allocator<mxnet::TBlob> > const&) in rnn_gpu.o
      mxnet::op::CuDNNRNNOp<mshadow::half::half_t>::Init(mshadow::Stream<mshadow::gpu>*, std::__1::vector<mxnet::TBlob, std::__1::allocator<mxnet::TBlob> > const&, std::__1::vector<mxnet::TBlob, std::__1::allocator<mxnet::TBlob> > const&) in rnn_gpu.o
  "_cudnnSetRNNMatrixMathType", referenced from:
      mxnet::op::CuDNNRNNOp<float>::Init(mshadow::Stream<mshadow::gpu>*, std::__1::vector<mxnet::TBlob, std::__1::allocator<mxnet::TBlob> > const&, std::__1::vector<mxnet::TBlob, std::__1::allocator<mxnet::TBlob> > const&) in rnn_gpu.o
      mxnet::op::CuDNNRNNOp<double>::Init(mshadow::Stream<mshadow::gpu>*, std::__1::vector<mxnet::TBlob, std::__1::allocator<mxnet::TBlob> > const&, std::__1::vector<mxnet::TBlob, std::__1::allocator<mxnet::TBlob> > const&) in rnn_gpu.o
      mxnet::op::CuDNNRNNOp<mshadow::half::half_t>::Init(mshadow::Stream<mshadow::gpu>*, std::__1::vector<mxnet::TBlob, std::__1::allocator<mxnet::TBlob> > const&, std::__1::vector<mxnet::TBlob, std::__1::allocator<mxnet::TBlob> > const&) in rnn_gpu.o
ld: symbol(s) not found for architecture x86_64
clang: error: linker command failed with exit code 1 (use -v to see invocation)
make: *** [lib/libmxnet.so] Error 1

I am using CUDA 9.0 with cudnn 7.0. Is there a problem with them?

lightingghost picture lightingghost on 1 Nov 2017

The following needs fixing:

  • Libs field occurs twice in '/usr/local/lib/pkgconfig/opencv.pc'.

    • Could you make sure that the format is consistent with what it was before editing?

  • "_cudnnGetConvolutionBackwardDataAlgorithmMaxCount", referenced from:

    • linker didn't find your cudnn. You need to find libcudnn's file and explicitly add its residing directory using ADD_LDFLAGS += -L/usr/local/cuda/somewhere

szha picture szha on 1 Nov 2017
👍1

Thanks @szha,

for the opencv.pc, the file show from vim and emacs are different, which probably comes from some buffer issues. Now I fixed the duplicated Libs field.

I explicitly added ADD_LDFLAGS += -L/usr/local/cuda/lib/libcudnn.dylib but it still shows ld: library not found for -l/usr/local/cuda/lib/libcudnn.dylib

lightingghost picture lightingghost on 1 Nov 2017

Should be ADD_LDFLAGS += -L/usr/local/cuda/lib/

szha picture szha on 1 Nov 2017

@szha Thanks. I reinstalled my system and it solves all the problem...

lightingghost picture lightingghost on 2 Nov 2017
🎉1
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