OS X上的MXNet ML lib C ++分段错误

Question

I have a problem with Apache MXNet machine learning library on OS X.

I have been able to run Python version of Lenet, convolutional neural network. I installed these with pip under both Anaconda Python 2.7 and 3.6.

conda create -n mxnet27 python=2.7
conda info --envs
source activate mxnet27
conda list
pip install mxnet==0.12.1

But when I run C++ example files cpp-package/example/lenet.cpp I get the this segfault:

Segmentation fault: 11

This is the place in the code where the segfault is thrown:

Symbol conv1 =
    Convolution("conv1", data, conv1_w, conv1_b, Shape(5, 5), 20);

I get similar segfault for the other C++ examples.

I have built MXNet on OS X 10.13.2 I disabled as many libraries as possible, eg OpenCV and CUDA.

On Simon Corston-Oliver suggestion I upgraded to MXNet 1.0.0, but that version did not compile with Clang on OS X. Error message:

operator_tune.h:150:36: note: add an explicit instantiation declaration to suppress this
      warning if 'mxnet::op::OperatorTuneByType<float>::tuning_mode_' is explicitly instantiated in another translation unit

/Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/include/c++/v1/unordered_map:601:15: error: object of type 'std::__1::pair<int,
  mxnet::test::perf::TimingInstrument::Info>' cannot be assigned because its copy assignment operator is implicitly deleted

Answer 1

I don't know of a specific issue with v0.12 that would lead to a segfault but before we dig in, I'd recommend upgrading to v1.0 which was released 2017-12-04.

If you still encounter the same problem with 1.0 we can work to debug.

Answer 2

I found a solution to compiling MXNet 1.0.0 posted here by helloniklas:

https://github.com/apache/incubator-mxnet/issues/9217

It involved only using make instead of CMake .

This solution worked me and compiled the code.

C++ examples runs without the seg fault, but documentation is scarce. I only got one of the to do training.