Fixing SequenceLoss Keras incompatibility #503
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kazemnejad
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@qlzh727 Can you take a quick look when you have time? |
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Sure, let me take a look |
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@qlzh727 Have you found any problem in the PR? Thanks. |
qlzh727
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Sep 12, 2019
tomerk
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Sep 17, 2019
* Fix SequenceLoss incompatibility with Keras built-in loops * Remove debugging prints * Change the attribute existence checking to use more pythonic way
facaiy
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Sep 19, 2019
* Namespaced all of the custom ops * Updated C++ namespaces to not conflict w/ TF contrib ones * Ran code reformatting tool * Port bug fix in TF contrib to addons. (#497) * Port bug fix in TF contrib to addons. Original change at tensorflow/tensorflow@a913689. * Fix lint warning. * check pass through and do the expand_dims() only if needed (#464) * check pass through and do the expand_dims() only if needed * add indent to the fixed line * merge return condition to if state * add hardshrink kernel (#500) * add hardshrink kernel * make linter happy * Fixing SequenceLoss Keras incompatibility (#503) * Fix SequenceLoss incompatibility with Keras built-in loops * Remove debugging prints * Change the attribute existence checking to use more pythonic way * Replace some compat.v1 APIs by their v2 equivalent (#507) * Replace some compat.v1 APIs by their v2 equivalent * Fix lint error * Add documentation for LazyAdam (#515) * Updated hardshrink custom ops & made #ifdef names more consistent. * Fix to undef
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Fixing the incompatibility issue between the SequenceLoss and Keras built-in training loops by adding support for dense targets. For more information please refer to #375