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layers
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base.py
Commit message (
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Author
Age
*
Simplify eager/graph Layer.losses conditionals
Allen Lavoie
2018-09-28
*
initializer might be a tensor so do not try to convert it to a boolean
Alexandre Passos
2018-08-20
*
Remove usage of magic-api-link syntax from source files.
Mark Daoust
2018-08-09
*
Add `synchronization` and `aggregation` args to the layer `add_weight()` API....
Pavithra Vijay
2018-07-09
*
Automated g4 rollback of changelist 200783477
Reed Wanderman-Milne
2018-06-19
*
Automatic cast layer inputs to the layer's dtype.
Reed Wanderman-Milne
2018-06-15
*
Merge changes from github.
Yifei Feng
2018-05-24
*
Move Keras code out of _impl folder and remove API files.
Pavithra Vijay
2018-05-17
*
Move fn_args utility into core TensorFlow from Estimator.
Michael Case
2018-05-11
*
Refactor layers:
Francois Chollet
2018-04-10
*
Creates a LinearModel (inherits from keras.training.Model) that creates a linear
Rohan Jain
2018-04-04
*
Allow positional arguments in tf.keras.Model subclasses
Allen Lavoie
2018-03-28
*
Refactor keras.Sequential and enable building Sequential models without speci...
Francois Chollet
2018-03-22
*
Merge changes from github.
Jacques Pienaar
2018-03-21
*
eager: Rename in_eager_mode to executing_eagerly and get rid of in_graph_mode.
Asim Shankar
2018-03-07
*
Improvement to eager linear regression benchmark
Akshay Modi
2018-03-06
*
Fixes a number of usability issues with model_to_estimator, in particular:
Francois Chollet
2018-03-05
*
Make Layers Checkpointable
Allen Lavoie
2018-02-27
*
Lazily reads from resource variables in eager mode.
Alexandre Passos
2018-02-13
*
Enable Model subclassing, both in eager-mode and symbolic-mode.
Francois Chollet
2018-02-12
*
Simplify and extend the management of input-conditional losses and updates.
Francois Chollet
2018-02-09
*
Adding tf_export decorators/calls to TensorFlow functions and constants.
Anna R
2018-02-08
*
Eager support for tf.Keras.
Anjali Sridhar
2018-01-31
*
Delete dead code in Layer.
Akshay Agrawal
2018-01-30
*
Update tf.keras to the Keras 2.1.3 API.
Francois Chollet
2018-01-25
*
Replace instances of `control_dependencies(None)` with `init_scope` when
Akshay Agrawal
2018-01-25
*
Make it possible to wrap Layer's `call` method in `tfe.defun`.
Akshay Agrawal
2018-01-05
*
Make layer method `compute_output_shape` public.
Francois Chollet
2018-01-04
*
Automated g4 rollback of changelist 179846085
A. Unique TensorFlower
2017-12-22
*
Merge changes from github.
A. Unique TensorFlower
2017-12-22
*
Make it possible to wrap tf.layers.Layer's 'call' method in tfe.defun.
Akshay Agrawal
2017-12-21
*
.base_dtype when inferring dtypes of layers
Alexandre Passos
2017-12-14
*
Support tfe.Network.losses
Allen Lavoie
2017-11-28
*
Merge changes from github.
Yifei Feng
2017-11-22
*
Automated g4 rollback of changelist 176615107
Yifei Feng
2017-11-22
*
Merge changes from github.
Yifei Feng
2017-11-21
*
Switch the op naming of tfe.Network to match its variable naming scheme.
Allen Lavoie
2017-11-15
*
Rename layers.base.Network -> layers.network.GraphNetwork
Allen Lavoie
2017-11-15
*
Switch tfe.Network to zero-based naming to match Layer variable names.
Allen Lavoie
2017-11-15
*
Update tf.keras RNNs to the Keras 2.0.9 API. Does not include cuDNN layers.
Francois Chollet
2017-11-10
*
tfe.Network naming under variable scopes. Networks take on the full prefix of...
Allen Lavoie
2017-11-10
*
Convert BasicRNNCell and GRUCell to proper layers.
Eugene Brevdo
2017-11-01
*
Gives Eager Networks unique names, adds related errors.
Allen Lavoie
2017-10-26
*
Add a build method to LSTMCell.
Eugene Brevdo
2017-10-26
*
Make Network compatible with eager mode. Currently it only allows to instanti...
Francois Chollet
2017-10-20
*
Caching for variable scopes in Layers
Allen Lavoie
2017-10-13
*
Switch to nest.flatten() in tf.layers.Layer to allow dicts and
A. Unique TensorFlower
2017-10-12
*
Switch some contextlib.contextmanagers to regular objects
Allen Lavoie
2017-10-04
*
Allow Layer.add_update() in Eager mode.
A. Unique TensorFlower
2017-10-04
*
Internal cleanup
A. Unique TensorFlower
2017-10-04
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