Thanks the MXNet team for releasing the framework. However, I think its current documentation for C++ API is not complete (_e.g._, How to install MXNet C++ API, Use MXNet in C++, etc.). Has the team any plan to add documentation or offers any tutorial (_e.g.,_ like the fantastic tutorials for _Gluon_) in the near future?
I hear that @leleamol is currently working on making the use of C++ APIs best in class and at par with the other APIs. Keep an eye for improvements in the C++ package soon!
Hello @ahkarami please refer to README Files in [cpp-package] (https://github.com/apache/incubator-mxnet/blob/master/cpp-package/README.md) and [cpp-package/example] (https://github.com/apache/incubator-mxnet/blob/master/cpp-package/example/README.md) folders.
Also, the C++ documentation on mxnet website is up-to-date. The documentation for classes in mxnet::cpp namespace can be found here
I hope this helps.
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Dear @leleamol,
Thank you very much for your nice attempts. I think the MXNet C++ API has improved, but adding more comprehensive examples and tutorials would be helpful.
Thanks @ahkarami,
Currently, we have examples in cpp-package folders that are covering training (e.g. building a model using C++ API) and inference workflows (loading a pre-trained model and running the forward pass.) It would be great, if you can suggest specific topic for examples or tutorials.
Meanwhile, I would suggest closing this issue and opening new issues or feature request with specific topics for examples/tutorials. This way we would be able to track the progress.
@mxnet-label-bot
Thanks @leleamol,
I agree with you there. I think it is better to close this issue in this state.
@mxnet-label-bot Can we close this issue as per the last comment?
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I hear that @leleamol is currently working on making the use of C++ APIs best in class and at par with the other APIs. Keep an eye for improvements in the C++ package soon!