inglada commented on issue #12837: [cpp-package]Wrong GLIBCXX version for cpp-package examples URL: https://github.com/apache/incubator-mxnet/issues/12837#issuecomment-435653931 @leleamol I would like to use it for all steps of the ML process: building the model architecture (included new layers that I would implement), training and deployment over large amounts of data on a HPC cluster. mxnet would be a dependency of http://www.orfeo-toolbox.org which is CMake based and has a "superbuild" process to build all its dependencies (boost, itk, gdal, opencv, libsvm, shark-ml, etc.). We have now the means of integrating Tensorflow, but it is very difficult to build (bazel based!) and the c++ API is not exposed. Furthermore, I have found mxnet's API much more intuitive. I am also evaluating PyTorch, since they are now exposing a C++ fontend. However, not using static graphs makes me wonder about performances.
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