STT-tensorflow/tensorflow/python/keras
Rohan Jain d60d7d3c7e Going back to forcing embedding layer variables on the CPU even within a tf.function as this is breaking some user code.
PiperOrigin-RevId: 321607029
Change-Id: Id159867f51b26e6604a1186d9ce526658ddd1e19
2020-07-22 11:45:58 -07:00
..
api Export unpack_x_y_sample_weight and pack_x_y_sample_weight 2020-06-02 23:44:08 -07:00
applications correct summing total blocks 2020-06-05 18:55:32 -04:00
benchmark Add fused/non-fused inference/training overhead benchmarks for 2020-06-16 08:58:33 -07:00
datasets Ensure there are test samples for imdb dataset, when maxlen is low 2020-06-19 07:04:19 -05:00
distribute Skip data loading error in multi_worker_tutorial_test (the test does not aim to cover this). 2020-06-23 15:56:23 -07:00
engine Merge pull request from tomerk/cherrypicks_DC0YA 2020-07-17 12:07:45 -07:00
estimator Add a note to model_to_estimator docs about weighted metrics. 2020-04-22 21:41:46 -07:00
feature_column Move the _BaseFeatureLayer back to Keras. 2020-05-20 11:34:23 -07:00
initializers
integration_test Fork the keras related tpu_strategy_test to keras integration test. 2020-06-18 19:41:18 -07:00
layers Going back to forcing embedding layer variables on the CPU even within a tf.function as this is breaking some user code. 2020-07-22 11:45:58 -07:00
legacy_tf_layers
mixed_precision Allow tf.distribute.TPUStrategy to be used with TPUEmbedding API and ensure that LossScaleOptimizer properly rejects it. 2020-06-25 15:32:43 -07:00
optimizer_v2 [ROCm] Adding no_rocm tag to a unit-test regression. 2020-06-02 14:47:24 +00:00
premade Stop skipping KerasTensors for Keras tests that now work with KerasTensors. 2020-06-15 14:26:38 -07:00
preprocessing GitHub Issue fix typo 2020-06-20 20:37:12 -07:00
protobuf Update naming of embedding in callback for TensorBoard integration. 2020-06-04 02:39:35 -07:00
saving Roll forward of cl/316247127: Make sure compiled metrics are accessible after loading from H5 or SavedModel. 2020-06-19 10:22:33 -07:00
tests Updates Keras layer __call__ to always set training, with the following priority order: 2020-06-22 13:13:46 -07:00
type
utils Simplify Layer.add_udpate in v2 and update version_selector to use v1 inside a 2020-06-17 11:01:44 -07:00
wrappers
__init__.py Update tf.keras version number. 2020-06-15 20:37:05 -07:00
activations_test.py
activations.py Merge pull request from Bharat123rox:update-elu 2020-06-10 14:16:42 -07:00
backend_config_test.py
backend_config.py Add dispatch support to more Python APIs. 2020-05-15 11:03:18 -07:00
backend_test.py Merge pull request from faustomorales:fix/#35799-ctc-decode 2020-05-28 11:11:44 -07:00
backend.py Fix critical bug with add_loss TFOpLayer graph construction 2020-07-15 12:18:38 -07:00
BUILD This change adds WIP support for using KerasTensor objects in Keras's functional API instead of symbolic graph tf.Tensors. It is controlled by an internal behavior flag that is disabled by default and is not yet exposed in TF's APIs. 2020-06-05 15:47:28 -07:00
callbacks_test.py Add SaveOptions/CheckpointOptions to keras.Models.save_weights and keras_call_backs.ModelCheckpoint. 2020-06-17 15:09:44 -07:00
callbacks_v1_test.py
callbacks_v1.py
callbacks.py Fix the api docstrings for on_*_batch_begin methods in callbacks.Callback 2020-06-25 15:37:32 -07:00
combinations_test.py
combinations.py This change adds WIP support for using KerasTensor objects in Keras's functional API instead of symbolic graph tf.Tensors. It is controlled by an internal behavior flag that is disabled by default and is not yet exposed in TF's APIs. 2020-06-05 15:47:28 -07:00
constraints_test.py
constraints.py
initializers_test.py
keras_parameterized_test.py This change adds WIP support for using KerasTensor objects in Keras's functional API instead of symbolic graph tf.Tensors. It is controlled by an internal behavior flag that is disabled by default and is not yet exposed in TF's APIs. 2020-06-05 15:47:28 -07:00
keras_parameterized.py This change adds WIP support for using KerasTensor objects in Keras's functional API instead of symbolic graph tf.Tensors. It is controlled by an internal behavior flag that is disabled by default and is not yet exposed in TF's APIs. 2020-06-05 15:47:28 -07:00
losses_test.py Switches keras.backend.placeholder + keras.backend.function to build a keras model when running eagerly (instead of trying to directly lift ops out of a graph into a concretefunction). Allows us to strip most of EagerDefinedExecutionFunction from the keras backend. 2020-05-21 11:53:44 -07:00
losses.py Update losses.py 2020-06-11 17:47:56 -07:00
metrics_confusion_matrix_test.py
metrics_correctness_test.py Fix last partial batch loss regression in 2.2 2020-04-21 13:13:04 -07:00
metrics_functional_test.py
metrics_test.py Merge pull request from yongtang:36790-tf.metrics.Recall-backend-float64 2020-05-28 10:01:00 -07:00
metrics.py Roll forward of cl/316247127: Make sure compiled metrics are accessible after loading from H5 or SavedModel. 2020-06-19 10:22:33 -07:00
models_test.py Follow up to 0e1f3de50a. This change enables keras tensor tests related to updates/losses. 2020-06-09 01:13:30 -07:00
models.py Reduce 1-layer Functional.__call__ overhead by ~10% 2020-06-01 16:51:20 -07:00
optimizers_test.py Fix a number of deserialization error messages. While print(string, obj) is valid syntax, ValueError(string, obj) is not. 2020-05-04 21:25:54 -07:00
optimizers.py Fix a number of deserialization error messages. While print(string, obj) is valid syntax, ValueError(string, obj) is not. 2020-05-04 21:25:54 -07:00
README.md
regularizers_test.py Stop skipping KerasTensors for Keras tests that now work with KerasTensors. 2020-06-15 14:26:38 -07:00
regularizers.py Merge pull request from howl-anderson:bugfix/tf_issue_37196 2020-06-10 10:00:46 -07:00
testing_utils.py Fix tokenization tests and update testing_utils to transfer state between layer creation. 2020-06-19 14:34:39 -07:00

Keras is an object-oriented API for defining and training neural networks.

This module contains a pure-TensorFlow implementation of the Keras API, allowing for deep integration with TensorFlow functionality.

See keras.io for complete documentation and user guides.