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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/08/21 03:33:18 UTC
[GitHub] ghgggg opened a new issue #12267: some errors when extracting
feature with mxnet c++ api in windows10 in gpu mode
ghgggg opened a new issue #12267: some errors when extracting feature with mxnet c++ api in windows10 in gpu mode
URL: https://github.com/apache/incubator-mxnet/issues/12267
## Description
in gpu mode , the code below
NDArray input(Shape(1, img.channels(), img.rows, img.cols), Context(kGPU, 0), false); occurs error .
and if I modify it as below
NDArray input(Shape(1, img.channels(), img.rows, img.cols), Context(kGPU, 0), true); it will be ok, but
the codes below occurs error.
executor = net.SimpleBind(ctx, args_map, map<string, NDArray>(), map<string, OpReqType>(), aux_map);
## Environment info
----------Python Info----------
('Version :', '2.7.13')
('Compiler :', 'MSC v.1500 64 bit (AMD64)')
('Build :', ('v2.7.13:a06454b1afa1', 'Dec 17 2016 20:53:40'))
('Arch :', ('64bit', 'WindowsPE'))
------------Pip Info-----------
('Version :', '10.0.1')
('Directory :', 'C:\\Python27\\lib\\site-packages\\pip')
----------MXNet Info-----------
('Version :', '1.2.0')
('Directory :', 'C:\\Python27\\lib\\site-packages\\mxnet-1.2.0-py2.7.egg\\mxnet')
Hashtag not found. Not installed from pre-built package.
----------System Info----------
('Platform :', 'Windows-10-10.0.17134')
('system :', 'Windows')
('node :', 'DESKTOP-VLGIO03')
('release :', '10')
('version :', '10.0.17134')
----------Hardware Info----------
('machine :', 'AMD64')
('processor :', 'Intel64 Family 6 Model 158 Stepping 9, GenuineIntel')
Name
Intel(R) Core(TM) i7-7700K CPU @ 4.20GHz
----------Network Test----------
Setting timeout: 10
Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0020 sec, LOAD: 4.9460 sec.
Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0010 sec, LOAD: 5.5290 sec.
Timing for FashionMNIST: https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.0000 sec, LOAD: 1.4930 sec.
Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.0040 sec, LOAD: 0.7540 sec.
Timing for Gluon Tutorial(en): http://gluon.mxnet.io, DNS: 0.1930 sec, LOAD: 1.1380 sec.
Timing for Gluon Tutorial(cn): https://zh.gluon.ai, DNS: 0.5940 sec, LOAD: 0.8230 sec.
Package used (Python/R/Scala/Julia):
(I'm using Python Package to install mxnet and build the cpp package)
## Build info (Required if built from source)
build is ok
Compiler is visual studio 2015
MXNet commit hash:
(Paste the output of `git rev-parse HEAD` here.)
Build config:
(Paste the content of config.mk, or the build command.)
im using cmake to build the project and the content as below
mxnet_option(USE_CUDA "Build with CUDA support" ON)
mxnet_option(USE_OLDCMAKECUDA "Build with old cmake cuda" OFF)
mxnet_option(USE_NCCL "Use NVidia NCCL with CUDA" OFF)
mxnet_option(USE_OPENCV "Build with OpenCV support" ON)
mxnet_option(USE_OPENMP "Build with Openmp support" ON)
mxnet_option(USE_CUDNN "Build with cudnn support" ON) # one could set CUDNN_ROOT for search path
mxnet_option(USE_SSE "Build with x86 SSE instruction support" ON)
mxnet_option(USE_LAPACK "Build with lapack support" ON IF NOT MSVC)
mxnet_option(USE_MKL_IF_AVAILABLE "Use MKL if found" ON)
mxnet_option(USE_MKLML_MKL "Use MKLDNN variant of MKL (if MKL found)" ON IF USE_MKL_IF_AVAILABLE AND UNIX AND (NOT APPLE))
mxnet_option(USE_MKLDNN "Use MKLDNN variant of MKL (if MKL found)" ON IF USE_MKL_IF_AVAILABLE AND UNIX AND (NOT APPLE))
mxnet_option(USE_OPERATOR_TUNING "Enable auto-tuning of operators" ON IF NOT MSVC)
mxnet_option(USE_GPERFTOOLS "Build with GPerfTools support (if found)" ON)
mxnet_option(USE_JEMALLOC "Build with Jemalloc support" ON)
mxnet_option(USE_PROFILER "Build with Profiler support" ON)
mxnet_option(USE_DIST_KVSTORE "Build with DIST_KVSTORE support" OFF)
mxnet_option(USE_PLUGINS_WARPCTC "Use WARPCTC Plugins" OFF)
mxnet_option(USE_PLUGIN_CAFFE "Use Caffe Plugin" OFF)
mxnet_option(USE_CPP_PACKAGE "Build C++ Package" ON)
mxnet_option(USE_MXNET_LIB_NAMING "Use MXNet library naming conventions." ON)
mxnet_option(USE_GPROF "Compile with gprof (profiling) flag" OFF)
mxnet_option(USE_CXX14_IF_AVAILABLE "Build with C++14 if the compiler supports it" OFF)
mxnet_option(USE_VTUNE "Enable use of Intel Amplifier XE (VTune)" OFF) # one could set VTUNE_ROOT for search path
mxnet_option(ENABLE_CUDA_RTC "Build with CUDA runtime compilation support" ON)
mxnet_option(BUILD_CPP_EXAMPLES "Build cpp examples" ON)
mxnet_option(INSTALL_EXAMPLES "Install the example source files." OFF)
mxnet_option(USE_SIGNAL_HANDLER "Print stack traces on segfaults." OFF)
mxnet_option(USE_F16C "Print stack traces on segfaults." OFF)
## Error Message:
(Paste the complete error message, including stack trace.)
no info printed and jump to the
#if DMLC_LOG_BEFORE_THROW
LOG(ERROR) << log_stream_.str();
#endif
throw Error(log_stream_.str());
}
call stack below:
KernelBase.dll!00007fff999fa388() Unknown
vcruntime140.dll!00007fff936d44f2() Unknown
> mxnet-extract-feature.exe!dmlc::LogMessageFatal::~LogMessageFatal() Line 397 C++
mxnet-extract-feature.exe!mxnet::cpp::NDArray::NDArray(const mxnet::cpp::Shape & shape, const mxnet::cpp::Context & context, bool) Line 59 C++
mxnet-extract-feature.exe!MxSpace::FeatureExtractor::Forward(const cv::_InputArray & _img) Line 46 C++
mxnet-extract-feature.exe!main() Line 189 C++
[External Code]
## Minimum reproducible example
(If you are using your own code, please provide a short script that reproduces the error. Otherwise, please provide link to the existing example.)
error 1: NDArray input(Shape(1, img.channels(), img.rows, img.cols), Context(kGPU, 0), false);
error 2: if NDArray input(Shape(1, img.channels(), img.rows, img.cols), Context(kGPU, 0), true); and error
executor = net.SimpleBind(ctx, args_map, map<string, NDArray>(), map<string, OpReqType>(), aux_map);
## What have you tried to solve it?
1. i had tried first allocate memory in cpu and then copy datas from cpu to gpu
i know a little about mxnet , anyone could help me to solve it? Thanks a lot.
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