hkingtswcbyy commented on issue #9686: [Discussion] MXNet 2.0 Roadmap (was: APIs that might be a good idea to break in 2.0) URL: https://github.com/apache/incubator-mxnet/issues/9686#issuecomment-504712992 A light weight, highly optimized mxnet-lite package just like tensorflow-lite is really desired for converting academic researches to products. As well as quantization tools and model file format that supports save the model parameters as int8. Because for mobile device applications, package size and model file size are even more important than computation speed. For the best of my knowledge, tf (along with tf-lite) is the only one that have such abilities. Therefore, if I want my products implemented on both severs and mobile devices, tf will be the only one I will choose, because I really don't want to maintain two sets of codes.
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