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Tensorflow 2.0 support
See original GitHub issueThis issue encompasses all the exploration required to ensure we can say that tensorflow 2.0 is supported.
There is a good overview covering what is new written by the tensorflow team
I think the 2.0 priorities are
- eager +
tf.function(#279) - support SavedModel (#54)
- tighter integration with the keras & estimators APIs
- will need a sub issue for this once someone takes it on
- explore the
distribution strategy api- may be some MPC benefits here
- explore tf.data
- queue runners are being removed in favour of
tf.data, andtf.datais now the preferred way to deal with data, is there anything here we can do to provide a tighter integration with tensorflow.
- queue runners are being removed in favour of
Issue Analytics
- State:
- Created 5 years ago
- Comments:5 (5 by maintainers)
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It’s unclear when we would actually do that, plus the issue was exploratory from the start so I recommend opening a new one when the time comes.
Should we keep this issue open to track the implementation or open a new one to actually add support for 2.0?