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Reality is that most production ML workflows still use 1.x,( not even the latest 1.14[5]. Migration to 2.x does not make sense in many existing use cases unless
by spicyramen 7y ago
Reality is that most production ML workflows still use 1.x,( not even the latest 1.14[5]. Migration to 2.x does not make sense in many existing use cases unless you want to build your new algorithms from scratch. From previous experience with TF, API changes so much that is impossible to keep up from an Enterprise perspective, I expect TF team do some type of LTS version for Enterprise and continue improving 2.x, which clearly was a response to Pytorch and is an evolution of TF.keras and eager execution plus all the cleanup.