STT-tensorflow

__init__.py

2019-10-28 15:25:48 -07:00

base_layer_test.py

Fix a critical breakage in training argument default value in inference for

2020-06-25 15:26:51 -07:00

base_layer_utils_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

base_layer_utils.py

Add an explicit distribution_strategy attribute to TrackableHandler. Since it's treated as a weight by Keras, it needs to pass DistStrat checks during compile.

2020-06-16 07:46:19 -07:00

base_layer_v1.py

Explicitly raise a (clearer) error message when models end up in invalid states due to interleaving graph and eager.

2020-07-14 11:45:20 -07:00

base_layer.py

Relax the error about functional api construction w/ a mix of symbolic and non-symbolic tensors for built-in layers (such as layers.add and layers.multiply where using constants is a common user pattern)

2020-07-16 21:40:28 -07:00

base_preprocessing_layer_test.py

In .adapt, don't freeze any shape values, only the number of dimensions.

2020-06-19 20:39:32 -07:00

base_preprocessing_layer_v1.py

Update TextVectorization to use internal layer adapt calls instead of its own combiner.

2020-05-19 09:26:19 -07:00

base_preprocessing_layer.py

In .adapt, don't freeze any shape values, only the number of dimensions.

2020-06-19 20:39:32 -07:00

BUILD

Cleanup the build deps for base_layer.

2020-06-07 17:54:40 -07:00

compile_utils_test.py

Fix issue - 1. tf.keras.Model.compile metrics do not respect masking since TF 2.2

2020-06-05 11:26:28 -07:00

compile_utils.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

control_flow_test.py

Reenable autograph in Layer.__call__ and add safeguards to prevent users from writing invalid static control flow.

2019-04-24 18:54:46 -07:00

correctness_test.py

Remove passing experimental_run_tf_function in most tests.

2020-02-27 13:34:09 -08:00

data_adapter_test.py

Do not wrap a single x input passed to Model.fit in a tuple

2020-06-09 00:09:26 -07:00

data_adapter.py

Avoid deprecation warning related to the use of collections.Sequence. It will stop working in Python 3.8.

2020-06-17 14:35:15 -07:00

deferred_sequential_test.py

Unifies the behaviors of "regular Sequential" (starts with an Input, wraps a Functional model) and "deferred Sequential" models (only gets built when it sees its input data for the first time).

2020-04-12 16:04:20 -07:00

feature_columns_integration_test.py

Rollback the previous change of feature_column test.

2020-06-05 08:44:53 -07:00

functional_test.py

Merge pull request #41483 from tomerk/cherrypicks_DC0YA

2020-07-17 12:07:45 -07:00

functional.py

Fix input mapping issue when model is constructed/tested with dict input tensor.

2020-06-22 18:28:15 -07:00

input_layer.py

Fix invalid keras tensor isinstance check

2020-06-09 13:59:23 -07:00

input_spec_test.py

Keras models and layers saving and reviving code. Implements go/tf-model-serialization.

2019-06-04 00:34:24 -07:00

input_spec.py

Document the input_spec attribute.

2020-02-24 11:28:07 -08:00

keras_tensor.py

Fix sparse kerastensors to maintain dense shape information after converting to a placeholder.

2020-06-15 14:01:44 -07:00

node_test.py

Stops special-casing first argument in Keras's internal Node representation. This makes the special-casing-behavior in __call__ more explicit, and make it easier to reduce how much special casing of the first argument Keras does moving forward.

2020-04-25 13:47:50 -07:00

node.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

partial_batch_padding_handler.py

…

saving.py

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sequential_test.py

Simplify Layer.add_udpate in v2 and update version_selector to use v1 inside a

2020-06-17 11:01:44 -07:00

sequential.py

Reduce 1-layer Functional.__call__ overhead by ~10%

2020-06-01 16:51:20 -07:00

training_arrays_test.py

Remove passing experimental_run_tf_function in most tests.

2020-02-27 13:34:09 -08:00

training_arrays.py

Keras ideal fit and compile.

2020-02-19 17:10:04 -08:00

training_dataset_test.py

Remove passing experimental_run_tf_function in most tests.

2020-02-27 13:34:09 -08:00

training_distributed.py

Drop experimental and v2 qualifiers from Strategy experimental_run_v2 method.

2020-03-12 10:26:26 -07:00

training_eager_test.py

Stops special-casing first argument in Keras's internal Node representation. This makes the special-casing-behavior in __call__ more explicit, and make it easier to reduce how much special casing of the first argument Keras does moving forward.

2020-04-25 13:47:50 -07:00

training_eager.py

Automated rollback of commit 445a22e8a91a7ea36964c3776d54d3391c35b6ae

2020-02-13 18:39:31 -08:00

training_generator_test.py

Update tests under keras.engine to use combinations.

2020-03-14 21:42:59 -07:00

training_generator.py

Keras ideal fit and compile.

2020-02-19 17:10:04 -08:00

training_gpu_test.py

Update tests under keras.engine to use combinations.

2020-03-14 21:42:59 -07:00

training_integration_test.py

Remove passing experimental_run_tf_function in most tests.

2020-02-27 13:34:09 -08:00

training_test.py

PR #40169 : ensure model initialized on ANY trackable attr set

2020-06-16 13:24:58 -07:00

training_utils_test.py

Add check to see mismatch between input and output batch size in single execution code path.

2019-07-22 12:18:10 -07:00

training_utils.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

training_v1.py

Explicitly raise a (clearer) error message when models end up in invalid states due to interleaving graph and eager.

2020-07-14 11:45:20 -07:00

training.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