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* eager guide: s/tfe.Checkpoint/tf.train.Checkpoint/Gravatar Asim Shankar2018-07-19
| | | | PiperOrigin-RevId: 205248470
* Allows constructing resource variables from tf.Variable.Gravatar Alexandre Passos2018-07-18
| | | | | | | | Also adds arguments to control distributed aggregation to the tf.Variable constructor. Removes tfe.Variable from examples as it's now unnecessary. PiperOrigin-RevId: 205096552
* Rename programmers_guide/ directory to guide/.Gravatar Billy Lamberta2018-06-22
| | | | | | Update references in source files and docs in tensorflow and related projects. PiperOrigin-RevId: 201766994
* Merge changes from github.Gravatar Yifei Feng2018-05-24
| | | | | | | Revert #18413. Too many internal test failures due to the name scope change caused by this change. Revert #18192. Cannot use re2::StringPiece internally. Need alternative for set call. Will pull and clean this up in a separate change. PiperOrigin-RevId: 197991247
* s/tfe.GradientTape/tf.GradientTape/Gravatar Asim Shankar2018-05-21
| | | | | | s/tfe.enable_eager_execution/tf.enable_eager_execution/ PiperOrigin-RevId: 197500751
* Internal changeGravatar Smit Hinsu2018-05-10
| | | | PiperOrigin-RevId: 196205436
* Internal change.Gravatar Yifei Feng2018-05-09
| | | | PiperOrigin-RevId: 196020032
* Allow positional arguments in tf.keras.Model subclassesGravatar Allen Lavoie2018-03-28
| | | | | | | | | | Makes the tf.keras.Layer.__call__ signature identical to tf.layers.Layer.__call__, but makes passing positional arguments other than "inputs" an error in most cases. The only case it's allowed is subclassed Models which do not have an "inputs" argument to their call() method. This means subclassed Models no longer need to pass all but the first argument as a keyword argument (or do list packing/unpacking) when call() takes multiple Tensor arguments. Includes errors for cases where whether an argument indicates an input is ambiguous, but otherwise doesn't do much to support non-"inputs" call() signatures for shape inference or deferred Tensors. The definition of an input/non-input is pretty clear, so that cleanup will mostly be tracking down all of the users of "self.call" and getting them to pass inputs as positional arguments if necessary. PiperOrigin-RevId: 190787899
* Convert the eager SPINN example to use tf.keras.Model and object-based ↵Gravatar Allen Lavoie2018-03-25
| | | | | | | | checkpointing. Uses a more recursive/functional tracking style which avoids numbering layers. Maybe this is too magical and we should adapt tf.keras.Sequential first? Let me know what you think. PiperOrigin-RevId: 190282346
* TFE SPINN example: use tensor instead of numpy arrayGravatar Shanqing Cai2018-02-15
| | | | | | in inference output. PiperOrigin-RevId: 185939805
* tfe SPINN example: Add inference; fix serializationGravatar Shanqing Cai2018-02-13
| | | | | | * Also de-flake a test. PiperOrigin-RevId: 185637742
* TFE: Improve spinn/README.mdGravatar Shanqing Cai2018-01-17
| | | | PiperOrigin-RevId: 182247687
* [TFE] Add link to other exapmles from spinn/README.mdGravatar Shanqing Cai2017-12-22
| | | | PiperOrigin-RevId: 179960166
* Rename create_summary_file_writer to create_file_writerGravatar Justine Tunney2017-12-01
| | | | PiperOrigin-RevId: 177651937
* TF Eager: Add SPINN model example for dynamic/recursive NN.Gravatar Shanqing Cai2017-12-01
PiperOrigin-RevId: 177636427
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