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Andrew Audibert 6b9a9d98bb Update "master" to "dispatch"/"dispatcher" in tf.data service terminology. 
Dispatcher is more descriptive and follows the guidance in https://developers.google.com/style/word-list#master

PiperOrigin-RevId: 321613785
Change-Id: Iaa576d35f0581e21278101f8b31201ba737a6865
2020-07-16 13:07:28 -07:00
..
tensorflow.__operators__.pbtxt Export and add dispatch to overloaded tensor operators (that were not already exported under different api symbols) under the hidden namespace tf.__operators__. 2020-06-11 16:20:41 -07:00
tensorflow.-aggregation-method.pbtxt Split-up gradients_impl into gradients_util 2019-01-31 14:37:54 -08:00
tensorflow.-critical-section.pbtxt Expose CriticalSection in core as tf.CriticalSection. 2019-02-08 17:23:19 -08:00
tensorflow.-d-type.pbtxt dtypes.DType is now a wrapper around tensorflow::DataType 2019-11-27 02:36:11 -08:00
tensorflow.-device-spec.pbtxt Implement several optimizations to reduce graph construction time. 2019-04-10 21:08:37 -07:00
tensorflow.-gradient-tape.pbtxt Add parallel_iterations option to batch_jacobian and jacobian functions. 2018-11-28 15:05:03 -08:00
tensorflow.-graph.pbtxt Make Graph().create_op() dtype argument optional. 2019-03-13 10:45:44 -07:00
tensorflow.-indexed-slices-spec.pbtxt Fix default value of IndexedSlicesSpec dense_shape_dtype to be 2019-06-25 22:30:24 -07:00
tensorflow.-indexed-slices.pbtxt Move TensorLike under types.internal and rename it NativeObject to distinguish from types which actually behave like tensors. 2020-04-22 13:02:41 -07:00
tensorflow.-module.pbtxt Remove implicit name scoping from tf.Modules. 2019-02-25 09:15:28 -08:00
tensorflow.-operation.pbtxt Removed StackFrame.func_start_lineno and Operation.traceback_with_start_lines 2019-08-28 14:32:50 -07:00
tensorflow.-optional-spec.pbtxt [tf.data] API changes. 2020-06-11 16:46:30 -07:00
tensorflow.-ragged-tensor-spec.pbtxt Rolling back a change that broke backwards compatibility. 2020-03-25 09:57:35 -07:00
tensorflow.-ragged-tensor.pbtxt Move TensorLike under types.internal and rename it NativeObject to distinguish from types which actually behave like tensors. 2020-04-22 13:02:41 -07:00
tensorflow.-register-gradient.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-sparse-tensor-spec.pbtxt Add properties SparseTensorSpec.dtype and SparseTensorSpec.shape 2019-07-31 14:34:45 -07:00
tensorflow.-sparse-tensor.pbtxt Move TensorLike under types.internal and rename it NativeObject to distinguish from types which actually behave like tensors. 2020-04-22 13:02:41 -07:00
tensorflow.-tensor-array-spec.pbtxt Add new "TypeSpec" classes, which can be used to specify types for objects accepted or returned by TensorFlow APIs. For example, TypeSpec subclasses may be used in tf.function's input_signature argument, and in tf.while_loop's shape_invariant argument. 2019-06-13 15:56:28 -07:00
tensorflow.-tensor-array.pbtxt [TF] Add support for TensorArrays to tf.data Dataset. 2019-04-09 15:13:00 -07:00
tensorflow.-tensor-shape.pbtxt Simplify TensorShape v1/v2 switch (and fix bugs in it). Note that this means that whenever v2 behavior is enabled, all functions (including compat.v1 functions) will return 2019-02-13 22:47:48 -08:00
tensorflow.-tensor-spec.pbtxt Add Variable encoding so that functions with variable arguments can be saved to SavedModel. 2019-10-31 16:41:04 -07:00
tensorflow.-tensor.pbtxt Make core.Tensor the base type for Tensor and replace the register_dense_tensor_like with direct subclassing. 2020-05-12 14:57:45 -07:00
tensorflow.-type-spec.pbtxt Add new "TypeSpec" classes, which can be used to specify types for objects accepted or returned by TensorFlow APIs. For example, TypeSpec subclasses may be used in tf.function's input_signature argument, and in tf.while_loop's shape_invariant argument. 2019-06-13 15:56:28 -07:00
tensorflow.-unconnected-gradients.pbtxt Add option in tf.gradients() to return zero tensors for unconnected gradients. 2018-10-04 06:14:08 -07:00
tensorflow.-variable-aggregation.pbtxt Step 1 of "tower" -> "replica" terminology transition for DistributionStrategy. 2018-10-17 22:38:46 -07:00
tensorflow.-variable-synchronization.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.-variable.-save-slice-info.pbtxt Fix TF 2.0 variable API exporting. 2018-10-16 09:40:59 -07:00
tensorflow.-variable.pbtxt Make experimental_ref no longer experimental 2020-02-10 10:56:24 -08:00
tensorflow.audio.pbtxt PR (updated): Add decode_wav api endpoint 2019-02-01 15:30:47 -08:00
tensorflow.autodiff.-forward-accumulator.pbtxt Forwardprop: add a public API 2019-10-09 19:40:16 -07:00
tensorflow.autodiff.-gradient-tape.pbtxt Forwardprop: add a public API 2019-10-09 19:40:16 -07:00
tensorflow.autodiff.pbtxt Forwardprop: add a public API 2019-10-09 19:40:16 -07:00
tensorflow.autograph.experimental.-feature.pbtxt Reactivate logical operators: not, and, or, which aren't supported by Python's operator overloading. Move the equality operator under a new experimental feature which will be eventually deprecated. 2019-05-18 10:02:48 -07:00
tensorflow.autograph.experimental.pbtxt Enable support for loop directives, include shape_invariants. 2019-12-17 06:15:26 -08:00
tensorflow.autograph.pbtxt API cleanup: remove obsolete arguments in V2. 2019-04-17 15:53:53 -07:00
tensorflow.bitwise.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.compat.pbtxt Export Dimension related compatibility tooling to compat. 2018-12-20 13:48:48 -08:00
tensorflow.config.-logical-device-configuration.pbtxt Implement GPU device priority for virtual devices. 2020-06-02 22:31:35 -07:00
tensorflow.config.-logical-device.pbtxt Make device listing APIs non-experimental 2019-11-05 02:14:04 -08:00
tensorflow.config.-physical-device.pbtxt Make device listing APIs non-experimental 2019-11-05 02:14:04 -08:00
tensorflow.config.experimental.-cluster-device-filters.pbtxt Allow configuring device filters in eager cluster to isolate workers. 2020-01-29 16:24:08 -08:00
tensorflow.config.experimental.-virtual-device-configuration.pbtxt Implement GPU device priority for virtual devices. 2020-06-02 22:31:35 -07:00
tensorflow.config.experimental.pbtxt Add get_device_details API. 2020-06-11 11:42:48 -07:00
tensorflow.config.optimizer.pbtxt Expose optimizer options in tf.config 2019-03-18 16:53:34 -07:00
tensorflow.config.pbtxt Removing experimental from run_functions_eagerly. Also removed all references for the experimental one from documentation. 2020-04-29 09:28:20 -07:00
tensorflow.config.threading.pbtxt Add get_ prefix to parallelism_threads APIs 2019-06-04 01:16:15 -07:00
tensorflow.constant_initializer.pbtxt Remove dtype argument from the init method of the initializers in v2 and the partition_info from the call. Move all API symbols to only Keras in v2. 2018-12-21 03:38:42 -08:00
tensorflow.data.-dataset-spec.pbtxt In DatasetSpec constructor, convert dataset_shape to a shape. 2019-07-15 18:14:29 -07:00
tensorflow.data.-dataset.pbtxt [tf.data] API changes. 2020-06-11 16:46:30 -07:00
tensorflow.data.-fixed-length-record-dataset.pbtxt [tf.data] API changes. 2020-06-11 16:46:30 -07:00
tensorflow.data.-iterator-spec.pbtxt [tf.data] API changes. 2020-06-11 16:46:30 -07:00
tensorflow.data.-iterator.pbtxt [tf.data] API changes. 2020-06-11 16:46:30 -07:00
tensorflow.data.-options.pbtxt Getting rid of experimental_allow_stateful now that we have experimental_external_state_policy instead. 2019-10-22 12:29:45 -07:00
tensorflow.data.-t-f-record-dataset.pbtxt [tf.data] API changes. 2020-06-11 16:46:30 -07:00
tensorflow.data.-text-line-dataset.pbtxt [tf.data] API changes. 2020-06-11 16:46:30 -07:00
tensorflow.data.experimental.-auto-shard-policy.pbtxt Consolidate DistributeOptions.auto_shard into DistributeOptions.auto_shard_policy. 2019-10-21 16:03:57 -07:00
tensorflow.data.experimental.-checkpoint-input-pipeline-hook.pbtxt Handle ExternalStatePolicy during Iterator::Save(). This CL adds an optional external_state_policy attr to the SerializeIterator op which is by default set to FAIL thereby keeping the behavior the same as before. Now users can override it if they want something else. This CL also exposes this option in the CheckpointInputPipelineHook. 2019-12-18 19:56:11 -08:00
tensorflow.data.experimental.-csv-dataset.pbtxt [tf.data] API changes. 2020-06-11 16:46:30 -07:00
tensorflow.data.experimental.-distribute-options.pbtxt Consolidate DistributeOptions.auto_shard into DistributeOptions.auto_shard_policy. 2019-10-21 16:03:57 -07:00
tensorflow.data.experimental.-map-vectorization-options.pbtxt [tf.data] Add option to control whether vectorization is aggressive (i.e. always vectorizes) or safe (i.e. uses ChooseFastestBranchDataset) 2019-03-19 09:23:14 -07:00
tensorflow.data.experimental.-optimization-options.pbtxt 1) Remove autotune_algorithm from experimental_options. Instead, use HILL_CLIMB when buffer size autotuning is disabled and GRADIENT_DESCENT when buffer size autotuning is enabled. 2019-12-04 17:06:52 -08:00
tensorflow.data.experimental.-optional.pbtxt [tf.data] API changes. 2020-06-11 16:46:30 -07:00
tensorflow.data.experimental.-random-dataset.pbtxt [tf.data] API changes. 2020-06-11 16:46:30 -07:00
tensorflow.data.experimental.-reducer.pbtxt [tf.data] Deprecate tf.contrib.data and introduce tf.data.experimental to replace it. 2018-10-01 16:50:05 -07:00
tensorflow.data.experimental.-sql-dataset.pbtxt [tf.data] API changes. 2020-06-11 16:46:30 -07:00
tensorflow.data.experimental.-stats-aggregator.pbtxt [data-stats] Adds TF 2.0 support for tf.data StatsAggregator. 2019-03-22 14:51:26 -07:00
tensorflow.data.experimental.-stats-options.pbtxt [tf.data] Options-related changes. 2018-11-21 14:50:01 -08:00
tensorflow.data.experimental.-t-f-record-writer.pbtxt [tf.data] Deprecate tf.contrib.data and introduce tf.data.experimental to replace it. 2018-10-01 16:50:05 -07:00
tensorflow.data.experimental.-threading-options.pbtxt [tf.data] Options-related changes. 2018-11-21 14:50:01 -08:00
tensorflow.data.experimental.pbtxt [tf.data] Implementation of tf.data.experimental.save and tf.data.experimental.load. The former makes it possible to save the output of a dataset, while the latter makes it possible to load a previously saved data. 2020-06-11 15:37:49 -07:00
tensorflow.data.experimental.service.-dispatch-server.pbtxt Update "master" to "dispatch"/"dispatcher" in tf.data service terminology. 2020-07-16 13:07:28 -07:00
tensorflow.data.experimental.service.-worker-server.pbtxt Update "master" to "dispatch"/"dispatcher" in tf.data service terminology. 2020-07-16 13:07:28 -07:00
tensorflow.data.experimental.service.pbtxt Update "master" to "dispatch"/"dispatcher" in tf.data service terminology. 2020-07-16 13:07:28 -07:00
tensorflow.data.pbtxt [tf.data] API changes. 2020-06-11 16:46:30 -07:00
tensorflow.debugging.experimental.pbtxt [tfdbg] Add public API tf.debugging.experimental.(enable|disable)_dump_debug_info() 2019-11-06 14:10:07 -08:00
tensorflow.debugging.pbtxt [tfdbg] Add public API tf.debugging.experimental.(enable|disable)_dump_debug_info() 2019-11-06 14:10:07 -08:00
tensorflow.distribute.-cross-device-ops.pbtxt Add an experimental_hints to batch all reduce 2020-02-25 20:32:44 -08:00
tensorflow.distribute.-distributed-dataset.pbtxt Export and Document DistributedDataset and DistributedIterator APIs 2020-06-17 18:27:33 -07:00
tensorflow.distribute.-distributed-iterator.pbtxt Add get_next_as_optional method for a distributed iterator 2020-06-18 22:18:33 -07:00
tensorflow.distribute.-distributed-values.pbtxt Make DistributedValues an exported TF symbol. 2020-02-24 13:57:36 -08:00
tensorflow.distribute.-hierarchical-copy-all-reduce.pbtxt Add an experimental_hints to batch all reduce 2020-02-25 20:32:44 -08:00
tensorflow.distribute.-input-context.pbtxt Move distribute.py, distribution_strategy_context.py, and device_util.py 2018-11-25 18:06:53 -08:00
tensorflow.distribute.-input-options.pbtxt Add InputOptions to experimental_distribute_dataset(s_from_function). 2020-06-15 16:05:58 -07:00
tensorflow.distribute.-input-replication-mode.pbtxt Create tf.distribute namespace with the base classes and standard APIs 2018-11-19 10:26:57 -08:00
tensorflow.distribute.-mirrored-strategy.pbtxt Make cluster_resolver standard property in tf.distribute strategies. 2020-06-22 18:19:14 -07:00
tensorflow.distribute.-nccl-all-reduce.pbtxt Add an experimental_hints to batch all reduce 2020-02-25 20:32:44 -08:00
tensorflow.distribute.-one-device-strategy.pbtxt Make cluster_resolver standard property in tf.distribute strategies. 2020-06-22 18:19:14 -07:00
tensorflow.distribute.-reduce-op.pbtxt Create tf.distribute namespace with the base classes and standard APIs 2018-11-19 10:26:57 -08:00
tensorflow.distribute.-reduction-to-one-device.pbtxt Add an experimental_hints to batch all reduce 2020-02-25 20:32:44 -08:00
tensorflow.distribute.-replica-context.pbtxt Add an experimental_hints to batch all reduce 2020-02-25 20:32:44 -08:00
tensorflow.distribute.-run-options.pbtxt Add a padding_spec argument into tpu.replicate, which provides the functionality of auto bucketing inputs. 2020-02-14 14:31:09 -08:00
tensorflow.distribute.-server.pbtxt Move some class symbols from tf 2.0. 2018-12-11 10:25:27 -08:00
tensorflow.distribute.-strategy-extended.pbtxt Add an experimental_hints to batch all reduce 2020-02-25 20:32:44 -08:00
tensorflow.distribute.-strategy.pbtxt Make cluster_resolver standard property in tf.distribute strategies. 2020-06-22 18:19:14 -07:00
tensorflow.distribute.-t-p-u-strategy.pbtxt Make cluster_resolver standard property in tf.distribute strategies. 2020-06-22 18:19:14 -07:00
tensorflow.distribute.cluster_resolver.-cluster-resolver.pbtxt Make task_type and task_id standard properties in tf.distribute cluster resolvers. 2020-06-22 14:48:14 -07:00
tensorflow.distribute.cluster_resolver.-g-c-e-cluster-resolver.pbtxt Making Cluster Resolvers visible by default for TensorFlow 2.0 transition 2019-01-28 18:55:12 -08:00
tensorflow.distribute.cluster_resolver.-kubernetes-cluster-resolver.pbtxt Make task_type and task_id standard properties in tf.distribute cluster resolvers. 2020-06-22 14:48:14 -07:00
tensorflow.distribute.cluster_resolver.-simple-cluster-resolver.pbtxt Patch Simple/Union/Slurm/TPUClusterResolver to use the new num_accelerators function prototype. 2019-02-22 12:01:19 -08:00
tensorflow.distribute.cluster_resolver.-slurm-cluster-resolver.pbtxt Make task_type and task_id standard properties in tf.distribute cluster resolvers. 2020-06-22 14:48:14 -07:00
tensorflow.distribute.cluster_resolver.-t-f-config-cluster-resolver.pbtxt Making Cluster Resolvers visible by default for TensorFlow 2.0 transition 2019-01-28 18:55:12 -08:00
tensorflow.distribute.cluster_resolver.-t-p-u-cluster-resolver.pbtxt Make task_type and task_id standard properties in tf.distribute cluster resolvers. 2020-06-22 14:48:14 -07:00
tensorflow.distribute.cluster_resolver.-union-resolver.pbtxt Patch Simple/Union/Slurm/TPUClusterResolver to use the new num_accelerators function prototype. 2019-02-22 12:01:19 -08:00
tensorflow.distribute.cluster_resolver.pbtxt Making Cluster Resolvers visible by default for TensorFlow 2.0 transition 2019-01-28 18:55:12 -08:00
tensorflow.distribute.experimental.-central-storage-strategy.pbtxt Make cluster_resolver standard property in tf.distribute strategies. 2020-06-22 18:19:14 -07:00
tensorflow.distribute.experimental.-collective-communication.pbtxt Enable user to choose between all-reduce implementations in 2019-02-27 16:01:57 -08:00
tensorflow.distribute.experimental.-collective-hints.pbtxt Add an experimental_hints to batch all reduce 2020-02-25 20:32:44 -08:00
tensorflow.distribute.experimental.-multi-worker-mirrored-strategy.pbtxt Make cluster_resolver standard property in tf.distribute strategies. 2020-06-22 18:19:14 -07:00
tensorflow.distribute.experimental.-parameter-server-strategy.pbtxt Make cluster_resolver standard property in tf.distribute strategies. 2020-06-22 18:19:14 -07:00
tensorflow.distribute.experimental.-t-p-u-strategy.pbtxt Make cluster_resolver standard property in tf.distribute strategies. 2020-06-22 18:19:14 -07:00
tensorflow.distribute.experimental.-value-context.pbtxt Add experimental_make_distributed_values_from_function method to distribution strategy. 2020-03-02 14:23:56 -08:00
tensorflow.distribute.experimental.pbtxt Add experimental_make_distributed_values_from_function method to distribution strategy. 2020-03-02 14:23:56 -08:00
tensorflow.distribute.pbtxt Graduate TPUStrategy from experimental. 2020-06-20 13:10:50 -07:00
tensorflow.dtypes.-d-type.pbtxt dtypes.DType is now a wrapper around tensorflow::DataType 2019-11-27 02:36:11 -08:00
tensorflow.dtypes.pbtxt dtypes.DType is now a wrapper around tensorflow::DataType 2019-11-27 02:36:11 -08:00
tensorflow.errors.-aborted-error.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.errors.-already-exists-error.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.errors.-cancelled-error.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.errors.-data-loss-error.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.errors.-deadline-exceeded-error.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.errors.-failed-precondition-error.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.errors.-internal-error.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.errors.-invalid-argument-error.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.errors.-not-found-error.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.errors.-op-error.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.errors.-out-of-range-error.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.errors.-permission-denied-error.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.errors.-resource-exhausted-error.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.errors.-unauthenticated-error.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.errors.-unavailable-error.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.errors.-unimplemented-error.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.errors.-unknown-error.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.errors.pbtxt Remove deprecated error handling symbols from v2 2019-04-12 16:23:08 -07:00
tensorflow.estimator.-baseline-classifier.pbtxt Swap Estimator V1 and V2 so that Estimator V1 contains all of the old method definitions. 2019-04-05 12:25:16 -07:00
tensorflow.estimator.-baseline-estimator.pbtxt Swap Estimator V1 and V2 so that Estimator V1 contains all of the old method definitions. 2019-04-05 12:25:16 -07:00
tensorflow.estimator.-baseline-regressor.pbtxt Swap Estimator V1 and V2 so that Estimator V1 contains all of the old method definitions. 2019-04-05 12:25:16 -07:00
tensorflow.estimator.-best-exporter.pbtxt Automated rollback of commit 20f03388ac 2018-10-17 20:49:29 -07:00
tensorflow.estimator.-binary-class-head.pbtxt Make Head v2 public as tf.estimator.* 2019-06-17 16:17:11 -07:00
tensorflow.estimator.-boosted-trees-classifier.pbtxt Support multi class/label and categorical columns in Python API. 2020-01-29 14:13:01 -08:00
tensorflow.estimator.-boosted-trees-estimator.pbtxt Swap Estimator V1 and V2 so that Estimator V1 contains all of the old method definitions. 2019-04-05 12:25:16 -07:00
tensorflow.estimator.-boosted-trees-regressor.pbtxt Support multi class/label and categorical columns in Python API. 2020-01-29 14:13:01 -08:00
tensorflow.estimator.-checkpoint-saver-hook.pbtxt (1/2) Add option to not export Graph protos when training the Estimator. 2019-10-10 12:40:44 -07:00
tensorflow.estimator.-checkpoint-saver-listener.pbtxt Export tf.train.* hooks or hooks-related classes to tf.estimator.* (exporting to both v1 and v2). Keep the existing only in v1. 2018-12-08 11:03:15 -08:00
tensorflow.estimator.-d-n-n-classifier.pbtxt Swap Estimator V1 and V2 so that Estimator V1 contains all of the old method definitions. 2019-04-05 12:25:16 -07:00
tensorflow.estimator.-d-n-n-estimator.pbtxt Swap Estimator V1 and V2 so that Estimator V1 contains all of the old method definitions. 2019-04-05 12:25:16 -07:00
tensorflow.estimator.-d-n-n-linear-combined-classifier.pbtxt Swap Estimator V1 and V2 so that Estimator V1 contains all of the old method definitions. 2019-04-05 12:25:16 -07:00
tensorflow.estimator.-d-n-n-linear-combined-estimator.pbtxt Swap Estimator V1 and V2 so that Estimator V1 contains all of the old method definitions. 2019-04-05 12:25:16 -07:00
tensorflow.estimator.-d-n-n-linear-combined-regressor.pbtxt
tensorflow.estimator.-d-n-n-regressor.pbtxt
tensorflow.estimator.-estimator-spec.pbtxt Automated rollback of commit 20f03388ac 2018-10-17 20:49:29 -07:00
tensorflow.estimator.-estimator.pbtxt Swap Estimator V1 and V2 so that Estimator V1 contains all of the old method definitions. 2019-04-05 12:25:16 -07:00
tensorflow.estimator.-eval-spec.pbtxt Automated rollback of commit 20f03388ac 2018-10-17 20:49:29 -07:00
tensorflow.estimator.-exporter.pbtxt Automated rollback of commit 20f03388ac 2018-10-17 20:49:29 -07:00
tensorflow.estimator.-feed-fn-hook.pbtxt Export tf.train.* hooks or hooks-related classes to tf.estimator.* (exporting to both v1 and v2). Keep the existing only in v1. 2018-12-08 11:03:15 -08:00
tensorflow.estimator.-final-exporter.pbtxt Automated rollback of commit 20f03388ac 2018-10-17 20:49:29 -07:00
tensorflow.estimator.-final-ops-hook.pbtxt Export tf.train.* hooks or hooks-related classes to tf.estimator.* (exporting to both v1 and v2). Keep the existing only in v1. 2018-12-08 11:03:15 -08:00
tensorflow.estimator.-global-step-waiter-hook.pbtxt Export tf.train.* hooks or hooks-related classes to tf.estimator.* (exporting to both v1 and v2). Keep the existing only in v1. 2018-12-08 11:03:15 -08:00
tensorflow.estimator.-head.pbtxt Make Head v2 public as tf.estimator.* 2019-06-17 16:17:11 -07:00
tensorflow.estimator.-latest-exporter.pbtxt Automated rollback of commit 20f03388ac 2018-10-17 20:49:29 -07:00
tensorflow.estimator.-linear-classifier.pbtxt Swap Estimator V1 and V2 so that Estimator V1 contains all of the old method definitions. 2019-04-05 12:25:16 -07:00
tensorflow.estimator.-linear-estimator.pbtxt warm_start_from arg is added to LinearEstimator in TF 2.x 2020-04-15 19:51:03 -07:00
tensorflow.estimator.-linear-regressor.pbtxt
tensorflow.estimator.-logging-tensor-hook.pbtxt Export tf.train.* hooks or hooks-related classes to tf.estimator.* (exporting to both v1 and v2). Keep the existing only in v1. 2018-12-08 11:03:15 -08:00
tensorflow.estimator.-logistic-regression-head.pbtxt Make Head v2 public as tf.estimator.* 2019-06-17 16:17:11 -07:00
tensorflow.estimator.-mode-keys.pbtxt Import Estimator ModeKeys from core, and remove ModeKeysV2. 2019-02-12 09:56:00 -08:00
tensorflow.estimator.-multi-class-head.pbtxt Make Head v2 public as tf.estimator.* 2019-06-17 16:17:11 -07:00
tensorflow.estimator.-multi-head.pbtxt Make Head v2 public as tf.estimator.* 2019-06-17 16:17:11 -07:00
tensorflow.estimator.-multi-label-head.pbtxt Make Head v2 public as tf.estimator.* 2019-06-17 16:17:11 -07:00
tensorflow.estimator.-nan-loss-during-training-error.pbtxt Export tf.train.* hooks or hooks-related classes to tf.estimator.* (exporting to both v1 and v2). Keep the existing only in v1. 2018-12-08 11:03:15 -08:00
tensorflow.estimator.-nan-tensor-hook.pbtxt Export tf.train.* hooks or hooks-related classes to tf.estimator.* (exporting to both v1 and v2). Keep the existing only in v1. 2018-12-08 11:03:15 -08:00
tensorflow.estimator.-poisson-regression-head.pbtxt Make Head v2 public as tf.estimator.* 2019-06-17 16:17:11 -07:00
tensorflow.estimator.-profiler-hook.pbtxt
tensorflow.estimator.-regression-head.pbtxt Make Head v2 public as tf.estimator.* 2019-06-17 16:17:11 -07:00
tensorflow.estimator.-run-config.pbtxt Expose session_creation_timeout_secs in estimator RunConfig 2019-09-04 21:00:53 -07:00
tensorflow.estimator.-second-or-step-timer.pbtxt Export tf.train.* hooks or hooks-related classes to tf.estimator.* (exporting to both v1 and v2). Keep the existing only in v1. 2018-12-08 11:03:15 -08:00
tensorflow.estimator.-session-run-args.pbtxt Export tf.train.* session_run_hook.py classes to tf.estimator.* (exporting to both v1 and v2). Keep the existing only in v1. 2018-12-12 16:41:50 -08:00
tensorflow.estimator.-session-run-context.pbtxt Export tf.train.* session_run_hook.py classes to tf.estimator.* (exporting to both v1 and v2). Keep the existing only in v1. 2018-12-12 16:41:50 -08:00
tensorflow.estimator.-session-run-hook.pbtxt Export tf.train.* session_run_hook.py classes to tf.estimator.* (exporting to both v1 and v2). Keep the existing only in v1. 2018-12-12 16:41:50 -08:00
tensorflow.estimator.-session-run-values.pbtxt Export tf.train.* session_run_hook.py classes to tf.estimator.* (exporting to both v1 and v2). Keep the existing only in v1. 2018-12-12 16:41:50 -08:00
tensorflow.estimator.-step-counter-hook.pbtxt Export tf.train.* hooks or hooks-related classes to tf.estimator.* (exporting to both v1 and v2). Keep the existing only in v1. 2018-12-08 11:03:15 -08:00
tensorflow.estimator.-stop-at-step-hook.pbtxt Export tf.train.* hooks or hooks-related classes to tf.estimator.* (exporting to both v1 and v2). Keep the existing only in v1. 2018-12-08 11:03:15 -08:00
tensorflow.estimator.-summary-saver-hook.pbtxt Export tf.train.* hooks or hooks-related classes to tf.estimator.* (exporting to both v1 and v2). Keep the existing only in v1. 2018-12-08 11:03:15 -08:00
tensorflow.estimator.-train-spec.pbtxt Add saving_listeners to tf.estimator.TrainSpec so users may pass tf.estimator.CheckpointSaverListeners. 2020-03-24 08:07:48 -07:00
tensorflow.estimator.-vocab-info.pbtxt Expose an axis argument for VocabInfo, which allows for warm-starting of the second axis of Tensors through tf.train.warm_start. Note that the underlying initializer already has this functionality (for example, for output layers). 2018-09-05 15:42:44 -07:00
tensorflow.estimator.-warm-start-settings.pbtxt Automated rollback of commit 20f03388ac 2018-10-17 20:49:29 -07:00
tensorflow.estimator.experimental.-in-memory-evaluator-hook.pbtxt Export tf.train.* hooks or hooks-related classes to tf.estimator.* (exporting to both v1 and v2). Keep the existing only in v1. 2018-12-08 11:03:15 -08:00
tensorflow.estimator.experimental.-linear-s-d-c-a.pbtxt Migrate the SDCA optimizer to tensorflow_estimator. 2018-10-25 11:34:05 -07:00
tensorflow.estimator.experimental.-r-n-n-classifier.pbtxt Move RNNEstimator module from TF contrib to core. 2019-06-20 15:17:49 -07:00
tensorflow.estimator.experimental.-r-n-n-estimator.pbtxt Move RNNEstimator module from TF contrib to core. 2019-06-20 15:17:49 -07:00
tensorflow.estimator.experimental.pbtxt Move RNNEstimator module from TF contrib to core. 2019-06-20 15:17:49 -07:00
tensorflow.estimator.export.-classification-output.__metaclass__.pbtxt
tensorflow.estimator.export.-classification-output.pbtxt Remove export utility functions from estimator, update references to point to the same code in core. 2019-02-21 14:20:07 -08:00
tensorflow.estimator.export.-export-output.__metaclass__.pbtxt
tensorflow.estimator.export.-export-output.pbtxt Remove export utility functions from estimator, update references to point to the same code in core. 2019-02-21 14:20:07 -08:00
tensorflow.estimator.export.-predict-output.__metaclass__.pbtxt
tensorflow.estimator.export.-predict-output.pbtxt Remove export utility functions from estimator, update references to point to the same code in core. 2019-02-21 14:20:07 -08:00
tensorflow.estimator.export.-regression-output.__metaclass__.pbtxt
tensorflow.estimator.export.-regression-output.pbtxt Remove export utility functions from estimator, update references to point to the same code in core. 2019-02-21 14:20:07 -08:00
tensorflow.estimator.export.-serving-input-receiver.pbtxt Automated rollback of commit 20f03388ac 2018-10-17 20:49:29 -07:00
tensorflow.estimator.export.-tensor-serving-input-receiver.pbtxt Automated rollback of commit 20f03388ac 2018-10-17 20:49:29 -07:00
tensorflow.estimator.export.pbtxt Resolve @annarev's comments 2018-10-16 21:24:43 -07:00
tensorflow.estimator.pbtxt Make Head v2 public as tf.estimator.* 2019-06-17 16:17:11 -07:00
tensorflow.experimental.-optional.pbtxt [tf.data] API changes. 2020-06-11 16:46:30 -07:00
tensorflow.experimental.dlpack.pbtxt Merge pull request from VoVAllen:dlpack 2020-02-27 17:38:16 -08:00
tensorflow.experimental.pbtxt [tf.data] API changes. 2020-06-11 16:46:30 -07:00
tensorflow.experimental.tensorrt.-conversion-params.pbtxt Merge pull request from tfeher:allow_build_at_runtime 2020-02-20 13:35:32 -08:00
tensorflow.experimental.tensorrt.-converter.pbtxt Update goldens api of TRT converter after changing params default value 2020-01-24 15:57:02 -08:00
tensorflow.experimental.tensorrt.pbtxt Export ConversionParams an API 2020-01-16 11:32:54 -08:00
tensorflow.feature_column.pbtxt Embedding feature column performance optimization. 2020-01-29 12:23:01 -08:00
tensorflow.graph_util.pbtxt Remove tf.graph_util symbols from TF 2.0. 2018-11-09 12:04:13 -08:00
tensorflow.image.-resize-method.pbtxt Wrapper for new resize operation, that fixes the half pixel bug in previous resize method. Adds new sampling kernels and an anti-aliasing option. Fixes . 2019-02-28 19:17:15 -08:00
tensorflow.image.pbtxt Replace non_max_suppression_padded with a new implementation that supports batched inputs. This new implementation is considerably faster than previous implementations on TPU and GPU. 2020-03-24 13:12:38 -07:00
tensorflow.initializers.-constant.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.initializers.-glorot-normal.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.initializers.-glorot-uniform.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.initializers.-he-normal.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.initializers.-he-uniform.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.initializers.-identity.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.initializers.-initializer.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.initializers.-lecun-normal.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.initializers.-lecun-uniform.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.initializers.-ones.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.initializers.-orthogonal.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.initializers.-random-normal.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.initializers.-random-uniform.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.initializers.-truncated-normal.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.initializers.-variance-scaling.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.initializers.-zeros.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.initializers.constant.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.initializers.glorot_normal.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.initializers.glorot_uniform.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.initializers.he_normal.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.initializers.he_uniform.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.initializers.identity.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.initializers.lecun_normal.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.initializers.lecun_uniform.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.initializers.ones.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.initializers.orthogonal.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.initializers.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.initializers.random_normal.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.initializers.random_uniform.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.initializers.truncated_normal.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.initializers.variance_scaling.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.initializers.zeros.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.io.-fixed-len-feature.pbtxt Updated tf.io.parse_example and tf.io.parse_single_example to support ragged features. 2019-09-19 06:18:14 -07:00
tensorflow.io.-fixed-len-sequence-feature.pbtxt Updated tf.io.parse_example and tf.io.parse_single_example to support ragged features. 2019-09-19 06:18:14 -07:00
tensorflow.io.-ragged-feature.-row-lengths.pbtxt Updated tf.io.parse_example and tf.io.parse_single_example to support ragged features. 2019-09-19 06:18:14 -07:00
tensorflow.io.-ragged-feature.-row-limits.pbtxt Updated tf.io.parse_example and tf.io.parse_single_example to support ragged features. 2019-09-19 06:18:14 -07:00
tensorflow.io.-ragged-feature.-row-splits.pbtxt Updated tf.io.parse_example and tf.io.parse_single_example to support ragged features. 2019-09-19 06:18:14 -07:00
tensorflow.io.-ragged-feature.-row-starts.pbtxt Updated tf.io.parse_example and tf.io.parse_single_example to support ragged features. 2019-09-19 06:18:14 -07:00
tensorflow.io.-ragged-feature.-uniform-row-length.pbtxt Updated tf.io.parse_example and tf.io.parse_single_example to support ragged features. 2019-09-19 06:18:14 -07:00
tensorflow.io.-ragged-feature.-value-row-ids.pbtxt Updated tf.io.parse_example and tf.io.parse_single_example to support ragged features. 2019-09-19 06:18:14 -07:00
tensorflow.io.-ragged-feature.pbtxt Updated tf.io.parse_example and tf.io.parse_single_example to support ragged features. 2019-09-19 06:18:14 -07:00
tensorflow.io.-sparse-feature.pbtxt Updated tf.io.parse_example and tf.io.parse_single_example to support ragged features. 2019-09-19 06:18:14 -07:00
tensorflow.io.-t-f-record-options.pbtxt Updating function and class tf_export decorators for endpoints according to 2018-10-01 11:58:12 -07:00
tensorflow.io.-t-f-record-writer.pbtxt Converted py_record_writer.i and py_record_reader.i to pybind11 2019-12-18 07:36:29 -08:00
tensorflow.io.-var-len-feature.pbtxt Updated tf.io.parse_example and tf.io.parse_single_example to support ragged features. 2019-09-19 06:18:14 -07:00
tensorflow.io.gfile.-g-file.pbtxt Update api golden for api compatibility 2019-04-21 03:27:58 +00:00
tensorflow.io.gfile.pbtxt Fix GFile tf_export for v2. 2018-12-26 15:34:31 -08:00
tensorflow.io.pbtxt Update API goldens 2020-03-10 09:16:01 +05:30
tensorflow.keras.-model.pbtxt Add SaveOptions/CheckpointOptions to keras.Models.save_weights and keras_call_backs.ModelCheckpoint. 2020-06-17 15:09:44 -07:00
tensorflow.keras.-sequential.pbtxt Add SaveOptions/CheckpointOptions to keras.Models.save_weights and keras_call_backs.ModelCheckpoint. 2020-06-17 15:09:44 -07:00
tensorflow.keras.activations.pbtxt Add EfficientNetB0 to B7 to Keras Applications. 2019-12-20 11:47:56 -08:00
tensorflow.keras.applications.densenet.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.applications.efficientnet.pbtxt Export EfficientNet models to the public API. 2020-04-13 12:11:48 -07:00
tensorflow.keras.applications.imagenet_utils.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.applications.inception_resnet_v2.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.applications.inception_v3.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.applications.mobilenet_v2.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.applications.mobilenet.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.applications.nasnet.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.applications.pbtxt Export EfficientNet models to the public API. 2020-04-13 12:11:48 -07:00
tensorflow.keras.applications.resnet50.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.applications.resnet_v2.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.applications.resnet.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.applications.vgg16.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.applications.vgg19.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.applications.xception.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.backend.pbtxt Deprecate random_binomial in favor of random_bernoulli. 2020-03-05 15:14:38 -08:00
tensorflow.keras.callbacks.-base-logger.pbtxt Add Callbacks hooks for evaluate and predict. 2018-12-14 15:13:34 -08:00
tensorflow.keras.callbacks.-c-s-v-logger.pbtxt Remove the 'mode' argument in on_epoch_begin and on_epoch_end methods of CallbackList and Callback classes, to eliminate exposure of ModeKeys api that's intended to be TensorFlow-internal. Add doc that says the methods should only be called during TRAIN mode. 2018-12-19 20:39:19 -08:00
tensorflow.keras.callbacks.-callback-list.pbtxt Export CallbackList to the public API. 2020-04-13 16:28:02 -07:00
tensorflow.keras.callbacks.-callback.pbtxt Remove the 'mode' argument in on_epoch_begin and on_epoch_end methods of CallbackList and Callback classes, to eliminate exposure of ModeKeys api that's intended to be TensorFlow-internal. Add doc that says the methods should only be called during TRAIN mode. 2018-12-19 20:39:19 -08:00
tensorflow.keras.callbacks.-early-stopping.pbtxt Remove the 'mode' argument in on_epoch_begin and on_epoch_end methods of CallbackList and Callback classes, to eliminate exposure of ModeKeys api that's intended to be TensorFlow-internal. Add doc that says the methods should only be called during TRAIN mode. 2018-12-19 20:39:19 -08:00
tensorflow.keras.callbacks.-history.pbtxt Remove the 'mode' argument in on_epoch_begin and on_epoch_end methods of CallbackList and Callback classes, to eliminate exposure of ModeKeys api that's intended to be TensorFlow-internal. Add doc that says the methods should only be called during TRAIN mode. 2018-12-19 20:39:19 -08:00
tensorflow.keras.callbacks.-lambda-callback.pbtxt Remove the 'mode' argument in on_epoch_begin and on_epoch_end methods of CallbackList and Callback classes, to eliminate exposure of ModeKeys api that's intended to be TensorFlow-internal. Add doc that says the methods should only be called during TRAIN mode. 2018-12-19 20:39:19 -08:00
tensorflow.keras.callbacks.-learning-rate-scheduler.pbtxt Add Callbacks hooks for evaluate and predict. 2018-12-14 15:13:34 -08:00
tensorflow.keras.callbacks.-model-checkpoint.pbtxt Add SaveOptions/CheckpointOptions to keras.Models.save_weights and keras_call_backs.ModelCheckpoint. 2020-06-17 15:09:44 -07:00
tensorflow.keras.callbacks.-progbar-logger.pbtxt Add Callbacks hooks for evaluate and predict. 2018-12-14 15:13:34 -08:00
tensorflow.keras.callbacks.-reduce-l-r-on-plateau.pbtxt Remove the 'mode' argument in on_epoch_begin and on_epoch_end methods of CallbackList and Callback classes, to eliminate exposure of ModeKeys api that's intended to be TensorFlow-internal. Add doc that says the methods should only be called during TRAIN mode. 2018-12-19 20:39:19 -08:00
tensorflow.keras.callbacks.-remote-monitor.pbtxt Remove the 'mode' argument in on_epoch_begin and on_epoch_end methods of CallbackList and Callback classes, to eliminate exposure of ModeKeys api that's intended to be TensorFlow-internal. Add doc that says the methods should only be called during TRAIN mode. 2018-12-19 20:39:19 -08:00
tensorflow.keras.callbacks.-tensor-board.pbtxt Create Variables to track mini-batches seen in Model.fit / evaluate / predict. 2020-03-17 14:58:12 -07:00
tensorflow.keras.callbacks.-terminate-on-na-n.pbtxt Remove the 'mode' argument in on_epoch_begin and on_epoch_end methods of CallbackList and Callback classes, to eliminate exposure of ModeKeys api that's intended to be TensorFlow-internal. Add doc that says the methods should only be called during TRAIN mode. 2018-12-19 20:39:19 -08:00
tensorflow.keras.callbacks.experimental.-backup-and-restore.pbtxt Add BackupAndRestore callback to help model back up periodically and recover from unexpected failure, e.g. preemption. 2020-05-27 14:19:33 -07:00
tensorflow.keras.callbacks.experimental.pbtxt Add BackupAndRestore callback to help model back up periodically and recover from unexpected failure, e.g. preemption. 2020-05-27 14:19:33 -07:00
tensorflow.keras.callbacks.pbtxt Add BackupAndRestore callback to help model back up periodically and recover from unexpected failure, e.g. preemption. 2020-05-27 14:19:33 -07:00
tensorflow.keras.constraints.-constraint.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.constraints.-max-norm.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.constraints.-min-max-norm.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.constraints.-non-neg.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.constraints.-radial-constraint.pbtxt Adding radial constraint for Conv2D kernels to make them rotation invariant. 2019-06-19 21:31:56 -07:00
tensorflow.keras.constraints.-unit-norm.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.constraints.max_norm.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.constraints.min_max_norm.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.constraints.non_neg.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.constraints.pbtxt Adding radial constraint for Conv2D kernels to make them rotation invariant. 2019-06-19 21:31:56 -07:00
tensorflow.keras.constraints.radial_constraint.pbtxt Adding radial constraint for Conv2D kernels to make them rotation invariant. 2019-06-19 21:31:56 -07:00
tensorflow.keras.constraints.unit_norm.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.datasets.boston_housing.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.datasets.cifar10.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.datasets.cifar100.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.datasets.fashion_mnist.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.datasets.imdb.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.datasets.mnist.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.datasets.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.datasets.reuters.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.estimator.pbtxt Add support for adding custom metric names in model_to_estimator API. 2020-03-23 13:47:16 -07:00
tensorflow.keras.experimental.-cosine-decay-restarts.pbtxt This CL introduces serializable/deserializable learning rate decay schedules for the Keras v2 optimizers. 2019-01-30 11:15:08 -08:00
tensorflow.keras.experimental.-cosine-decay.pbtxt This CL introduces serializable/deserializable learning rate decay schedules for the Keras v2 optimizers. 2019-01-30 11:15:08 -08:00
tensorflow.keras.experimental.-linear-cosine-decay.pbtxt This CL introduces serializable/deserializable learning rate decay schedules for the Keras v2 optimizers. 2019-01-30 11:15:08 -08:00
tensorflow.keras.experimental.-linear-model.pbtxt Add SaveOptions/CheckpointOptions to keras.Models.save_weights and keras_call_backs.ModelCheckpoint. 2020-06-17 15:09:44 -07:00
tensorflow.keras.experimental.-noisy-linear-cosine-decay.pbtxt This CL introduces serializable/deserializable learning rate decay schedules for the Keras v2 optimizers. 2019-01-30 11:15:08 -08:00
tensorflow.keras.experimental.-peephole-l-s-t-m-cell.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.experimental.-sequence-features.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.experimental.-wide-deep-model.pbtxt Add SaveOptions/CheckpointOptions to keras.Models.save_weights and keras_call_backs.ModelCheckpoint. 2020-06-17 15:09:44 -07:00
tensorflow.keras.experimental.pbtxt Remove experimental keras SavedModel symbol from V2. 2019-10-22 13:31:54 -07:00
tensorflow.keras.initializers.-constant.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.-glorot-normal.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.-glorot-uniform.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.-he-normal.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.-he-uniform.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.-identity.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.-initializer.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.-lecun-normal.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.-lecun-uniform.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.-ones.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.-orthogonal.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.-random-normal.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.-random-uniform.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.-truncated-normal.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.-variance-scaling.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.-zeros.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.constant.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.glorot_normal.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.glorot_uniform.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.he_normal.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.he_uniform.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.identity.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.lecun_normal.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.lecun_uniform.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.ones.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.orthogonal.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.random_normal.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.random_uniform.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.truncated_normal.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.variance_scaling.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.initializers.zeros.pbtxt Make Keras maintain its own initializer classes. 2020-03-26 11:29:12 -07:00
tensorflow.keras.layers.-abstract-r-n-n-cell.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-activation.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-activity-regularization.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-add.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-additive-attention.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-alpha-dropout.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-attention.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-average-pooling1-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-average-pooling2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-average-pooling3-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-average.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-avg-pool1-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-avg-pool2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-avg-pool3-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-batch-normalization.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-bidirectional.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-concatenate.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-conv1-d-transpose.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-conv1-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-conv2-d-transpose.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-conv2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-conv3-d-transpose.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-conv3-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-conv-l-s-t-m2-d.pbtxt Make return_state as explicit kwarg in the Conv2DLSTM layer. 2020-06-18 15:55:19 -07:00
tensorflow.keras.layers.-convolution1-d-transpose.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-convolution1-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-convolution2-d-transpose.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-convolution2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-convolution3-d-transpose.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-convolution3-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-cropping1-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-cropping2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-cropping3-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-dense-features.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-dense.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-depthwise-conv2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-dot.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-dropout.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-e-l-u.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-embedding.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-flatten.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-g-r-u-cell.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-g-r-u.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-gaussian-dropout.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-gaussian-noise.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-global-average-pooling1-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-global-average-pooling2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-global-average-pooling3-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-global-avg-pool1-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-global-avg-pool2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-global-avg-pool3-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-global-max-pool1-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-global-max-pool2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-global-max-pool3-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-global-max-pooling1-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-global-max-pooling2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-global-max-pooling3-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-input-layer.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-input-spec.pbtxt Keras models and layers saving and reviving code. Implements go/tf-model-serialization. 2019-06-04 00:34:24 -07:00
tensorflow.keras.layers.-l-s-t-m-cell.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-l-s-t-m.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-lambda.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-layer-normalization.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-layer.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-leaky-re-l-u.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-locally-connected1-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-locally-connected2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-masking.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-max-pool1-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-max-pool2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-max-pool3-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-max-pooling1-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-max-pooling2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-max-pooling3-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-maximum.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-minimum.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-multiply.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-p-re-l-u.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-permute.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-r-n-n.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-re-l-u.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-repeat-vector.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-reshape.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-separable-conv1-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-separable-conv2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-separable-convolution1-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-separable-convolution2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-simple-r-n-n-cell.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-simple-r-n-n.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-softmax.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-spatial-dropout1-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-spatial-dropout2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-spatial-dropout3-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-stacked-r-n-n-cells.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-subtract.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-thresholded-re-l-u.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-time-distributed.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-up-sampling1-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-up-sampling2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-up-sampling3-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-wrapper.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-zero-padding1-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-zero-padding2-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.-zero-padding3-d.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.-einsum-dense.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.-random-fourier-features.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.-sync-batch-normalization.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.pbtxt Add an einsum layer. 2020-04-30 08:42:06 -07:00
tensorflow.keras.layers.experimental.preprocessing.-category-crossing.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.-category-encoding.__metaclass__.pbtxt Exporting CategoryEncoding layer. 2020-05-21 13:16:57 -07:00
tensorflow.keras.layers.experimental.preprocessing.-category-encoding.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.-center-crop.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.-discretization.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.-hashing.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.-integer-lookup.__metaclass__.pbtxt Export StringLookup and IntegerLookup layers. 2020-05-29 12:37:56 -07:00
tensorflow.keras.layers.experimental.preprocessing.-integer-lookup.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.-normalization.__metaclass__.pbtxt Export Keras preprocessing layers in tf.keras.layers.experimental. 2019-11-09 01:31:26 -08:00
tensorflow.keras.layers.experimental.preprocessing.-normalization.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.-preprocessing-layer.__metaclass__.pbtxt Export Keras preprocessing layers in tf.keras.layers.experimental. 2019-11-09 01:31:26 -08:00
tensorflow.keras.layers.experimental.preprocessing.-preprocessing-layer.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.-random-contrast.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.-random-crop.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.-random-flip.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.-random-height.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.-random-rotation.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.-random-translation.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.-random-width.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.-random-zoom.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.-rescaling.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.-resizing.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.-string-lookup.__metaclass__.pbtxt Export StringLookup and IntegerLookup layers. 2020-05-29 12:37:56 -07:00
tensorflow.keras.layers.experimental.preprocessing.-string-lookup.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.-text-vectorization.__metaclass__.pbtxt Export Keras preprocessing layers in tf.keras.layers.experimental. 2019-11-09 01:31:26 -08:00
tensorflow.keras.layers.experimental.preprocessing.-text-vectorization.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.layers.experimental.preprocessing.pbtxt Export StringLookup and IntegerLookup layers. 2020-05-29 12:37:56 -07:00
tensorflow.keras.layers.pbtxt Support Conv1DTranspose for Keras. 2020-04-08 16:41:16 -07:00
tensorflow.keras.losses.-binary-crossentropy.pbtxt Set default loss reduction as AUTO for improving reliability of loss scaling with distribution strategy and custom training loops. Raise an error in distribution strategy + custom training loop use cases if loss reduction type is AUTO/SUM_OVER_BATCH_SIZE. 2019-04-18 12:46:34 -07:00
tensorflow.keras.losses.-categorical-crossentropy.pbtxt Set default loss reduction as AUTO for improving reliability of loss scaling with distribution strategy and custom training loops. Raise an error in distribution strategy + custom training loop use cases if loss reduction type is AUTO/SUM_OVER_BATCH_SIZE. 2019-04-18 12:46:34 -07:00
tensorflow.keras.losses.-categorical-hinge.pbtxt Set default loss reduction as AUTO for improving reliability of loss scaling with distribution strategy and custom training loops. Raise an error in distribution strategy + custom training loop use cases if loss reduction type is AUTO/SUM_OVER_BATCH_SIZE. 2019-04-18 12:46:34 -07:00
tensorflow.keras.losses.-cosine-similarity.pbtxt Set default loss reduction as AUTO for improving reliability of loss scaling with distribution strategy and custom training loops. Raise an error in distribution strategy + custom training loop use cases if loss reduction type is AUTO/SUM_OVER_BATCH_SIZE. 2019-04-18 12:46:34 -07:00
tensorflow.keras.losses.-hinge.pbtxt More descriptive docstrings for losses 2019-06-26 17:37:14 -07:00
tensorflow.keras.losses.-huber.pbtxt Set default loss reduction as AUTO for improving reliability of loss scaling with distribution strategy and custom training loops. Raise an error in distribution strategy + custom training loop use cases if loss reduction type is AUTO/SUM_OVER_BATCH_SIZE. 2019-04-18 12:46:34 -07:00
tensorflow.keras.losses.-k-l-divergence.pbtxt Regularize loss naming quirks. 2020-03-30 13:46:01 -07:00
tensorflow.keras.losses.-log-cosh.pbtxt Regularize loss naming quirks. 2020-03-30 13:46:01 -07:00
tensorflow.keras.losses.-loss.pbtxt Set default loss reduction as AUTO for improving reliability of loss scaling with distribution strategy and custom training loops. Raise an error in distribution strategy + custom training loop use cases if loss reduction type is AUTO/SUM_OVER_BATCH_SIZE. 2019-04-18 12:46:34 -07:00
tensorflow.keras.losses.-mean-absolute-error.pbtxt Set default loss reduction as AUTO for improving reliability of loss scaling with distribution strategy and custom training loops. Raise an error in distribution strategy + custom training loop use cases if loss reduction type is AUTO/SUM_OVER_BATCH_SIZE. 2019-04-18 12:46:34 -07:00
tensorflow.keras.losses.-mean-absolute-percentage-error.pbtxt Set default loss reduction as AUTO for improving reliability of loss scaling with distribution strategy and custom training loops. Raise an error in distribution strategy + custom training loop use cases if loss reduction type is AUTO/SUM_OVER_BATCH_SIZE. 2019-04-18 12:46:34 -07:00
tensorflow.keras.losses.-mean-squared-error.pbtxt Set default loss reduction as AUTO for improving reliability of loss scaling with distribution strategy and custom training loops. Raise an error in distribution strategy + custom training loop use cases if loss reduction type is AUTO/SUM_OVER_BATCH_SIZE. 2019-04-18 12:46:34 -07:00
tensorflow.keras.losses.-mean-squared-logarithmic-error.pbtxt Set default loss reduction as AUTO for improving reliability of loss scaling with distribution strategy and custom training loops. Raise an error in distribution strategy + custom training loop use cases if loss reduction type is AUTO/SUM_OVER_BATCH_SIZE. 2019-04-18 12:46:34 -07:00
tensorflow.keras.losses.-poisson.pbtxt Set default loss reduction as AUTO for improving reliability of loss scaling with distribution strategy and custom training loops. Raise an error in distribution strategy + custom training loop use cases if loss reduction type is AUTO/SUM_OVER_BATCH_SIZE. 2019-04-18 12:46:34 -07:00
tensorflow.keras.losses.-reduction.pbtxt Set default loss reduction as AUTO for improving reliability of loss scaling with distribution strategy and custom training loops. Raise an error in distribution strategy + custom training loop use cases if loss reduction type is AUTO/SUM_OVER_BATCH_SIZE. 2019-04-18 12:46:34 -07:00
tensorflow.keras.losses.-sparse-categorical-crossentropy.pbtxt More descriptive docstrings for losses 2019-06-26 17:37:14 -07:00
tensorflow.keras.losses.-squared-hinge.pbtxt Set default loss reduction as AUTO for improving reliability of loss scaling with distribution strategy and custom training loops. Raise an error in distribution strategy + custom training loop use cases if loss reduction type is AUTO/SUM_OVER_BATCH_SIZE. 2019-04-18 12:46:34 -07:00
tensorflow.keras.losses.pbtxt Regularize loss naming quirks. 2020-03-30 13:46:01 -07:00
tensorflow.keras.metrics.-a-u-c.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-accuracy.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-binary-accuracy.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-binary-crossentropy.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-categorical-accuracy.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-categorical-crossentropy.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-categorical-hinge.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-cosine-similarity.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-false-negatives.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-false-positives.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-hinge.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-k-l-divergence.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-log-cosh-error.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-mean-absolute-error.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-mean-absolute-percentage-error.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-mean-io-u.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-mean-relative-error.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-mean-squared-error.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-mean-squared-logarithmic-error.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-mean-tensor.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-mean.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-metric.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-poisson.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-precision-at-recall.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-precision.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-recall-at-precision.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-recall.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-root-mean-squared-error.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-sensitivity-at-specificity.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-sparse-categorical-accuracy.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-sparse-categorical-crossentropy.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-sparse-top-k-categorical-accuracy.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-specificity-at-sensitivity.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-squared-hinge.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-sum.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-top-k-categorical-accuracy.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-true-negatives.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.-true-positives.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.keras.metrics.pbtxt Regularize loss naming quirks. 2020-03-30 13:46:01 -07:00
tensorflow.keras.mixed_precision.experimental.-loss-scale-optimizer.pbtxt Change LossScaleOptimizer checkpoint format. 2020-04-14 14:14:30 -07:00
tensorflow.keras.mixed_precision.experimental.-policy.pbtxt Support Layer.get_config with a mixed_[b]float16 dtype policy. 2019-10-03 16:06:20 -07:00
tensorflow.keras.mixed_precision.experimental.pbtxt Add get_layer_policy() function. 2020-01-03 12:32:20 -08:00
tensorflow.keras.mixed_precision.pbtxt Initial support for mixed precision policies. 2019-02-27 17:13:33 -08:00
tensorflow.keras.models.-model.pbtxt Add SaveOptions/CheckpointOptions to keras.Models.save_weights and keras_call_backs.ModelCheckpoint. 2020-06-17 15:09:44 -07:00
tensorflow.keras.models.-sequential.pbtxt Add SaveOptions/CheckpointOptions to keras.Models.save_weights and keras_call_backs.ModelCheckpoint. 2020-06-17 15:09:44 -07:00
tensorflow.keras.models.pbtxt Add load option for loading SavedModel from specific io_device for distributed training. 2020-06-15 15:34:47 -07:00
tensorflow.keras.optimizers.-adadelta.pbtxt Rename all_reduce_sum_gradients to experimental_aggregate_gradients 2020-03-24 13:31:15 -07:00
tensorflow.keras.optimizers.-adagrad.pbtxt Rename all_reduce_sum_gradients to experimental_aggregate_gradients 2020-03-24 13:31:15 -07:00
tensorflow.keras.optimizers.-adam.pbtxt Rename all_reduce_sum_gradients to experimental_aggregate_gradients 2020-03-24 13:31:15 -07:00
tensorflow.keras.optimizers.-adamax.pbtxt Rename all_reduce_sum_gradients to experimental_aggregate_gradients 2020-03-24 13:31:15 -07:00
tensorflow.keras.optimizers.-ftrl.pbtxt Rename all_reduce_sum_gradients to experimental_aggregate_gradients 2020-03-24 13:31:15 -07:00
tensorflow.keras.optimizers.-nadam.pbtxt Rename all_reduce_sum_gradients to experimental_aggregate_gradients 2020-03-24 13:31:15 -07:00
tensorflow.keras.optimizers.-optimizer.pbtxt Rename all_reduce_sum_gradients to experimental_aggregate_gradients 2020-03-24 13:31:15 -07:00
tensorflow.keras.optimizers.-r-m-sprop.pbtxt Rename all_reduce_sum_gradients to experimental_aggregate_gradients 2020-03-24 13:31:15 -07:00
tensorflow.keras.optimizers.-s-g-d.pbtxt Rename all_reduce_sum_gradients to experimental_aggregate_gradients 2020-03-24 13:31:15 -07:00
tensorflow.keras.optimizers.pbtxt Add ftrl endpoint. 2019-02-21 09:32:42 -08:00
tensorflow.keras.optimizers.schedules.-exponential-decay.pbtxt This CL introduces serializable/deserializable learning rate decay schedules for the Keras v2 optimizers. 2019-01-30 11:15:08 -08:00
tensorflow.keras.optimizers.schedules.-inverse-time-decay.pbtxt This CL introduces serializable/deserializable learning rate decay schedules for the Keras v2 optimizers. 2019-01-30 11:15:08 -08:00
tensorflow.keras.optimizers.schedules.-learning-rate-schedule.pbtxt This CL introduces serializable/deserializable learning rate decay schedules for the Keras v2 optimizers. 2019-01-30 11:15:08 -08:00
tensorflow.keras.optimizers.schedules.-piecewise-constant-decay.pbtxt This CL introduces serializable/deserializable learning rate decay schedules for the Keras v2 optimizers. 2019-01-30 11:15:08 -08:00
tensorflow.keras.optimizers.schedules.-polynomial-decay.pbtxt This CL introduces serializable/deserializable learning rate decay schedules for the Keras v2 optimizers. 2019-01-30 11:15:08 -08:00
tensorflow.keras.optimizers.schedules.pbtxt This CL introduces serializable/deserializable learning rate decay schedules for the Keras v2 optimizers. 2019-01-30 11:15:08 -08:00
tensorflow.keras.pbtxt Add ragged tensor input support to Keras via the 'ragged' arg in keras.Input. 2019-06-20 13:51:43 -07:00
tensorflow.keras.preprocessing.image.-directory-iterator.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.preprocessing.image.-image-data-generator.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.preprocessing.image.-iterator.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.preprocessing.image.-numpy-array-iterator.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.preprocessing.image.pbtxt Export the keras.preprocessing.image.smart_resize utility. 2020-05-11 10:57:59 -07:00
tensorflow.keras.preprocessing.pbtxt Export text_dataset_from_directory to the public API. 2020-04-23 13:21:34 -07:00
tensorflow.keras.preprocessing.sequence.-timeseries-generator.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.preprocessing.sequence.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.preprocessing.text.-tokenizer.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.preprocessing.text.pbtxt Reintroduce API compatibility checks for Keras Preprocessing and Keras 2020-04-07 16:24:41 -07:00
tensorflow.keras.regularizers.-l1-l2.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.regularizers.-l1.pbtxt Make regularizers API more consistent. 2020-05-13 14:27:05 -07:00
tensorflow.keras.regularizers.-l2.pbtxt Make regularizers API more consistent. 2020-05-13 14:27:05 -07:00
tensorflow.keras.regularizers.-regularizer.pbtxt Updates Keras Regularizer documentation 2019-09-26 15:32:57 -07:00
tensorflow.keras.regularizers.l1.pbtxt Make regularizers API more consistent. 2020-05-13 14:27:05 -07:00
tensorflow.keras.regularizers.l2.pbtxt Make regularizers API more consistent. 2020-05-13 14:27:05 -07:00
tensorflow.keras.regularizers.pbtxt Make regularizers API more consistent. 2020-05-13 14:27:05 -07:00
tensorflow.keras.utils.-custom-object-scope.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.utils.-generator-enqueuer.pbtxt Part 3/4 of the update of tf.keras to the 2.2.4 API. 2018-10-10 20:54:50 -07:00
tensorflow.keras.utils.-h-d-f5-matrix.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.utils.-ordered-enqueuer.pbtxt Adding forgotten exports. 2018-09-10 14:29:23 -07:00
tensorflow.keras.utils.-progbar.pbtxt Keras ideal fit and compile. 2020-02-19 17:10:04 -08:00
tensorflow.keras.utils.-sequence-enqueuer.pbtxt Part 3/4 of the update of tf.keras to the 2.2.4 API. 2018-10-10 20:54:50 -07:00
tensorflow.keras.utils.-sequence.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.utils.custom_object_scope.pbtxt Improves public-facing documentation for tf.keras.utils.custom_object_scope. 2020-03-23 13:39:19 -07:00
tensorflow.keras.utils.pbtxt Export unpack_x_y_sample_weight and pack_x_y_sample_weight 2020-06-02 23:44:08 -07:00
tensorflow.keras.wrappers.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.wrappers.scikit_learn.-keras-classifier.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.wrappers.scikit_learn.-keras-regressor.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.keras.wrappers.scikit_learn.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.linalg.-linear-operator-adjoint.pbtxt Add Condition number method to LinearOperator. 2019-11-25 15:20:34 -08:00
tensorflow.linalg.-linear-operator-block-diag.pbtxt Add Condition number method to LinearOperator. 2019-11-25 15:20:34 -08:00
tensorflow.linalg.-linear-operator-block-lower-triangular.pbtxt Add the lower-triangular blockwise linear operator, tf.linalg.LinearOperatorBlockLowerTriangular. 2020-01-29 14:02:05 -08:00
tensorflow.linalg.-linear-operator-circulant2-d.pbtxt Add Condition number method to LinearOperator. 2019-11-25 15:20:34 -08:00
tensorflow.linalg.-linear-operator-circulant3-d.pbtxt Add Condition number method to LinearOperator. 2019-11-25 15:20:34 -08:00
tensorflow.linalg.-linear-operator-circulant.pbtxt Add Condition number method to LinearOperator. 2019-11-25 15:20:34 -08:00
tensorflow.linalg.-linear-operator-composition.pbtxt Add Condition number method to LinearOperator. 2019-11-25 15:20:34 -08:00
tensorflow.linalg.-linear-operator-diag.pbtxt Add Condition number method to LinearOperator. 2019-11-25 15:20:34 -08:00
tensorflow.linalg.-linear-operator-full-matrix.pbtxt Add Condition number method to LinearOperator. 2019-11-25 15:20:34 -08:00
tensorflow.linalg.-linear-operator-householder.pbtxt Add Condition number method to LinearOperator. 2019-11-25 15:20:34 -08:00
tensorflow.linalg.-linear-operator-identity.pbtxt Add Condition number method to LinearOperator. 2019-11-25 15:20:34 -08:00
tensorflow.linalg.-linear-operator-inversion.pbtxt Add Condition number method to LinearOperator. 2019-11-25 15:20:34 -08:00
tensorflow.linalg.-linear-operator-kronecker.pbtxt Add Condition number method to LinearOperator. 2019-11-25 15:20:34 -08:00
tensorflow.linalg.-linear-operator-low-rank-update.pbtxt Add Condition number method to LinearOperator. 2019-11-25 15:20:34 -08:00
tensorflow.linalg.-linear-operator-lower-triangular.pbtxt Add Condition number method to LinearOperator. 2019-11-25 15:20:34 -08:00
tensorflow.linalg.-linear-operator-permutation.pbtxt Add Condition number method to LinearOperator. 2019-11-25 15:20:34 -08:00
tensorflow.linalg.-linear-operator-scaled-identity.pbtxt Add Condition number method to LinearOperator. 2019-11-25 15:20:34 -08:00
tensorflow.linalg.-linear-operator-toeplitz.pbtxt Add Condition number method to LinearOperator. 2019-11-25 15:20:34 -08:00
tensorflow.linalg.-linear-operator-tridiag.pbtxt Add LinearOperatorTridiag for tridiagonal matrices. 2019-12-16 13:03:00 -08:00
tensorflow.linalg.-linear-operator-zeros.pbtxt Add Condition number method to LinearOperator. 2019-11-25 15:20:34 -08:00
tensorflow.linalg.-linear-operator.pbtxt Add Condition number method to LinearOperator. 2019-11-25 15:20:34 -08:00
tensorflow.linalg.experimental.pbtxt Add tf.linalg.experimental.conjugate_gradient to python API. 2019-11-27 10:35:09 -08:00
tensorflow.linalg.pbtxt Add banded triangular solve op. 2020-06-18 10:03:35 -07:00
tensorflow.lite.-interpreter.pbtxt Merge branch 'master' into export_SetNumThreads_to_tflite_python 2020-05-20 16:25:33 +08:00
tensorflow.lite.-ops-set.pbtxt Fix for CI failure. 2020-06-08 17:57:27 +01:00
tensorflow.lite.-optimize.pbtxt Introduce DEFAULT_OPTIMIZE that is the recommendation to users. 2019-04-23 17:27:38 -07:00
tensorflow.lite.-representative-dataset.pbtxt Remove confusing unused output_gen field. 2019-04-17 21:34:30 -07:00
tensorflow.lite.-t-f-lite-converter.pbtxt Split merged TFLiteConverter implementations into frozen graph converter and saved model converter 2020-05-06 23:27:25 -07:00
tensorflow.lite.-target-spec.pbtxt Enable Float16 conversion of model constants through Python API 2019-07-03 18:23:05 -07:00
tensorflow.lite.experimental.pbtxt Add Python delegate interface to interpreter. 2019-06-07 15:48:52 -07:00
tensorflow.lite.pbtxt Add Python delegate interface to interpreter. 2019-06-07 15:48:52 -07:00
tensorflow.lookup.-key-value-tensor-initializer.pbtxt Adding tf_export bindings for the tf.lookup API. Adds tf.lookup.StaticHashTable, tf.lookup.VocabularyTable, tf.lookup.experimental.DenseHashTable, tf.lookup.TextFileInitializer and tf.lookup.KeyValueTensorInitializer 2019-02-27 14:39:48 -08:00
tensorflow.lookup.-static-hash-table.pbtxt Factor out scope tracking from TrackableResource 2019-05-01 16:50:47 -07:00
tensorflow.lookup.-static-vocabulary-table.pbtxt Factor out scope tracking from TrackableResource 2019-05-01 16:50:47 -07:00
tensorflow.lookup.-text-file-index.pbtxt Update API golden for tf.lookup.TextFileIndex 2019-03-13 05:02:51 +00:00
tensorflow.lookup.-text-file-initializer.pbtxt Adding tf_export bindings for the tf.lookup API. Adds tf.lookup.StaticHashTable, tf.lookup.VocabularyTable, tf.lookup.experimental.DenseHashTable, tf.lookup.TextFileInitializer and tf.lookup.KeyValueTensorInitializer 2019-02-27 14:39:48 -08:00
tensorflow.lookup.experimental.-dataset-initializer.pbtxt Allowing tf.lookup tables to be initialized from a Dataset 2020-03-02 15:41:42 -08:00
tensorflow.lookup.experimental.-dense-hash-table.pbtxt Factor out scope tracking from TrackableResource 2019-05-01 16:50:47 -07:00
tensorflow.lookup.experimental.pbtxt Allowing tf.lookup tables to be initialized from a Dataset 2020-03-02 15:41:42 -08:00
tensorflow.lookup.pbtxt Update API golden for tf.lookup.TextFileIndex 2019-03-13 05:02:51 +00:00
tensorflow.losses.-binary-crossentropy.pbtxt Set default loss reduction as AUTO for improving reliability of loss scaling with distribution strategy and custom training loops. Raise an error in distribution strategy + custom training loop use cases if loss reduction type is AUTO/SUM_OVER_BATCH_SIZE. 2019-04-18 12:46:34 -07:00
tensorflow.losses.-categorical-crossentropy.pbtxt Set default loss reduction as AUTO for improving reliability of loss scaling with distribution strategy and custom training loops. Raise an error in distribution strategy + custom training loop use cases if loss reduction type is AUTO/SUM_OVER_BATCH_SIZE. 2019-04-18 12:46:34 -07:00
tensorflow.losses.-categorical-hinge.pbtxt Set default loss reduction as AUTO for improving reliability of loss scaling with distribution strategy and custom training loops. Raise an error in distribution strategy + custom training loop use cases if loss reduction type is AUTO/SUM_OVER_BATCH_SIZE. 2019-04-18 12:46:34 -07:00
tensorflow.losses.-cosine-similarity.pbtxt Set default loss reduction as AUTO for improving reliability of loss scaling with distribution strategy and custom training loops. Raise an error in distribution strategy + custom training loop use cases if loss reduction type is AUTO/SUM_OVER_BATCH_SIZE. 2019-04-18 12:46:34 -07:00
tensorflow.losses.-hinge.pbtxt More descriptive docstrings for losses 2019-06-26 17:37:14 -07:00
tensorflow.losses.-huber.pbtxt Set default loss reduction as AUTO for improving reliability of loss scaling with distribution strategy and custom training loops. Raise an error in distribution strategy + custom training loop use cases if loss reduction type is AUTO/SUM_OVER_BATCH_SIZE. 2019-04-18 12:46:34 -07:00
tensorflow.losses.-k-l-divergence.pbtxt Regularize loss naming quirks. 2020-03-30 13:46:01 -07:00
tensorflow.losses.-log-cosh.pbtxt Regularize loss naming quirks. 2020-03-30 13:46:01 -07:00
tensorflow.losses.-loss.pbtxt Set default loss reduction as AUTO for improving reliability of loss scaling with distribution strategy and custom training loops. Raise an error in distribution strategy + custom training loop use cases if loss reduction type is AUTO/SUM_OVER_BATCH_SIZE. 2019-04-18 12:46:34 -07:00
tensorflow.losses.-mean-absolute-error.pbtxt Set default loss reduction as AUTO for improving reliability of loss scaling with distribution strategy and custom training loops. Raise an error in distribution strategy + custom training loop use cases if loss reduction type is AUTO/SUM_OVER_BATCH_SIZE. 2019-04-18 12:46:34 -07:00
tensorflow.losses.-mean-absolute-percentage-error.pbtxt Set default loss reduction as AUTO for improving reliability of loss scaling with distribution strategy and custom training loops. Raise an error in distribution strategy + custom training loop use cases if loss reduction type is AUTO/SUM_OVER_BATCH_SIZE. 2019-04-18 12:46:34 -07:00
tensorflow.losses.-mean-squared-error.pbtxt Set default loss reduction as AUTO for improving reliability of loss scaling with distribution strategy and custom training loops. Raise an error in distribution strategy + custom training loop use cases if loss reduction type is AUTO/SUM_OVER_BATCH_SIZE. 2019-04-18 12:46:34 -07:00
tensorflow.losses.-mean-squared-logarithmic-error.pbtxt Set default loss reduction as AUTO for improving reliability of loss scaling with distribution strategy and custom training loops. Raise an error in distribution strategy + custom training loop use cases if loss reduction type is AUTO/SUM_OVER_BATCH_SIZE. 2019-04-18 12:46:34 -07:00
tensorflow.losses.-poisson.pbtxt Set default loss reduction as AUTO for improving reliability of loss scaling with distribution strategy and custom training loops. Raise an error in distribution strategy + custom training loop use cases if loss reduction type is AUTO/SUM_OVER_BATCH_SIZE. 2019-04-18 12:46:34 -07:00
tensorflow.losses.-reduction.pbtxt Set default loss reduction as AUTO for improving reliability of loss scaling with distribution strategy and custom training loops. Raise an error in distribution strategy + custom training loop use cases if loss reduction type is AUTO/SUM_OVER_BATCH_SIZE. 2019-04-18 12:46:34 -07:00
tensorflow.losses.-sparse-categorical-crossentropy.pbtxt More descriptive docstrings for losses 2019-06-26 17:37:14 -07:00
tensorflow.losses.-squared-hinge.pbtxt Set default loss reduction as AUTO for improving reliability of loss scaling with distribution strategy and custom training loops. Raise an error in distribution strategy + custom training loop use cases if loss reduction type is AUTO/SUM_OVER_BATCH_SIZE. 2019-04-18 12:46:34 -07:00
tensorflow.losses.pbtxt Regularize loss naming quirks. 2020-03-30 13:46:01 -07:00
tensorflow.math.pbtxt use bincount_v2 in tf.math.bincount, support axis and binary_output, and support int64. 2020-05-20 15:55:06 -07:00
tensorflow.math.special.pbtxt Add Bessel functions to the public api: 2020-06-17 21:06:09 -07:00
tensorflow.metrics.-a-u-c.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.metrics.-accuracy.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.metrics.-binary-accuracy.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.metrics.-binary-crossentropy.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.metrics.-categorical-accuracy.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.metrics.-categorical-crossentropy.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.metrics.-categorical-hinge.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.metrics.-cosine-similarity.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.metrics.-false-negatives.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.metrics.-false-positives.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.metrics.-hinge.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.metrics.-k-l-divergence.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.metrics.-log-cosh-error.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.metrics.-mean-absolute-error.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.metrics.-mean-absolute-percentage-error.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.metrics.-mean-io-u.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.metrics.-mean-relative-error.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.metrics.-mean-squared-error.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.metrics.-mean-squared-logarithmic-error.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.metrics.-mean-tensor.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.metrics.-mean.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.metrics.-metric.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.metrics.-poisson.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.metrics.-precision-at-recall.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.metrics.-precision.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.metrics.-recall-at-precision.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.metrics.-recall.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.metrics.-root-mean-squared-error.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.metrics.-sensitivity-at-specificity.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.metrics.-sparse-categorical-accuracy.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.metrics.-sparse-categorical-crossentropy.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.metrics.-sparse-top-k-categorical-accuracy.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.metrics.-specificity-at-sensitivity.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.metrics.-squared-hinge.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.metrics.-sum.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.metrics.-top-k-categorical-accuracy.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.metrics.-true-negatives.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.metrics.-true-positives.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.metrics.pbtxt Regularize loss naming quirks. 2020-03-30 13:46:01 -07:00
tensorflow.mixed_precision.experimental.-dynamic-loss-scale.pbtxt Rename LossScale classes. 2019-10-01 23:38:51 -07:00
tensorflow.mixed_precision.experimental.-fixed-loss-scale.pbtxt Rename LossScale classes. 2019-10-01 23:38:51 -07:00
tensorflow.mixed_precision.experimental.-loss-scale.pbtxt Rename LossScale classes. 2019-10-01 23:38:51 -07:00
tensorflow.mixed_precision.experimental.pbtxt Unexpose LossScaleGradientTape. 2019-12-11 14:20:19 -08:00
tensorflow.mixed_precision.pbtxt Upstream loss scaling gradient tape 2019-08-21 15:11:27 -07:00
tensorflow.mlir.experimental.pbtxt Add pass_pipeline optional arguments when importing a GraphDef to MLIR 2019-09-16 16:32:56 -07:00
tensorflow.mlir.pbtxt Implement a basic API: tf.mlir.experimental.convert_graph_def 2019-09-09 15:00:00 -07:00
tensorflow.name_scope.pbtxt ops.name_scope now dispatches no name_scope_{v1,v2} or Graph.name_scope 2019-09-01 05:10:50 -07:00
tensorflow.nest.pbtxt Export nest.is_sequence as tf.nest.is_nested 2019-02-14 19:09:15 -08:00
tensorflow.nn.-r-n-n-cell-device-wrapper.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.nn.-r-n-n-cell-dropout-wrapper.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.nn.-r-n-n-cell-residual-wrapper.pbtxt Reduce Layer.__call__ overhead by ~15%. 2020-06-05 00:01:46 -07:00
tensorflow.nn.pbtxt Update golden APIs to reflect swish becoming a regular function 2019-08-12 16:50:36 -07:00
tensorflow.ones_initializer.pbtxt Remove dtype argument from the init method of the initializers in v2 and the partition_info from the call. Move all API symbols to only Keras in v2. 2018-12-21 03:38:42 -08:00
tensorflow.optimizers.-adadelta.pbtxt Rename all_reduce_sum_gradients to experimental_aggregate_gradients 2020-03-24 13:31:15 -07:00
tensorflow.optimizers.-adagrad.pbtxt Rename all_reduce_sum_gradients to experimental_aggregate_gradients 2020-03-24 13:31:15 -07:00
tensorflow.optimizers.-adam.pbtxt Rename all_reduce_sum_gradients to experimental_aggregate_gradients 2020-03-24 13:31:15 -07:00
tensorflow.optimizers.-adamax.pbtxt Rename all_reduce_sum_gradients to experimental_aggregate_gradients 2020-03-24 13:31:15 -07:00
tensorflow.optimizers.-ftrl.pbtxt Rename all_reduce_sum_gradients to experimental_aggregate_gradients 2020-03-24 13:31:15 -07:00
tensorflow.optimizers.-nadam.pbtxt Rename all_reduce_sum_gradients to experimental_aggregate_gradients 2020-03-24 13:31:15 -07:00
tensorflow.optimizers.-optimizer.pbtxt Rename all_reduce_sum_gradients to experimental_aggregate_gradients 2020-03-24 13:31:15 -07:00
tensorflow.optimizers.-r-m-sprop.pbtxt Rename all_reduce_sum_gradients to experimental_aggregate_gradients 2020-03-24 13:31:15 -07:00
tensorflow.optimizers.-s-g-d.pbtxt Rename all_reduce_sum_gradients to experimental_aggregate_gradients 2020-03-24 13:31:15 -07:00
tensorflow.optimizers.pbtxt Add ftrl endpoint. 2019-02-21 09:32:42 -08:00
tensorflow.optimizers.schedules.-exponential-decay.pbtxt Add module aliases for v2 optimizers tf.optimizers = tf.keras.optimizers 2019-02-08 14:42:54 -08:00
tensorflow.optimizers.schedules.-inverse-time-decay.pbtxt Add module aliases for v2 optimizers tf.optimizers = tf.keras.optimizers 2019-02-08 14:42:54 -08:00
tensorflow.optimizers.schedules.-learning-rate-schedule.pbtxt Add module aliases for v2 optimizers tf.optimizers = tf.keras.optimizers 2019-02-08 14:42:54 -08:00
tensorflow.optimizers.schedules.-piecewise-constant-decay.pbtxt Add module aliases for v2 optimizers tf.optimizers = tf.keras.optimizers 2019-02-08 14:42:54 -08:00
tensorflow.optimizers.schedules.-polynomial-decay.pbtxt Add module aliases for v2 optimizers tf.optimizers = tf.keras.optimizers 2019-02-08 14:42:54 -08:00
tensorflow.optimizers.schedules.pbtxt Add module aliases for v2 optimizers tf.optimizers = tf.keras.optimizers 2019-02-08 14:42:54 -08:00
tensorflow.pbtxt Add Registration for non-stateful scatter_nd_min and scatter_nd_max. 2020-06-03 11:05:54 -07:00
tensorflow.profiler.experimental.-profile.pbtxt profiler session allow more options to be specified at python level. such as host trace level and python tracer enable. 2020-04-01 14:39:29 -07:00
tensorflow.profiler.experimental.-profiler-options.pbtxt allow profiler_client.py v2 (our rpc client) to provide ProfilerOptions, 2020-04-13 14:24:44 -07:00
tensorflow.profiler.experimental.-trace.pbtxt Append new metadata to a TraceMe after it is created. 2020-04-09 10:04:29 -07:00
tensorflow.profiler.experimental.client.pbtxt allow profiler_client.py v2 (our rpc client) to provide ProfilerOptions, 2020-04-13 14:24:44 -07:00
tensorflow.profiler.experimental.pbtxt profiler session allow more options to be specified at python level. such as host trace level and python tracer enable. 2020-04-01 14:39:29 -07:00
tensorflow.profiler.experimental.server.pbtxt Export public symbols for programmatic profiling APIs. 2020-02-19 14:11:43 -08:00
tensorflow.profiler.pbtxt Export public symbols for programmatic profiling APIs. 2020-02-19 14:11:43 -08:00
tensorflow.quantization.pbtxt Support Dequantize to bfloat16. 2020-01-14 11:58:53 -08:00
tensorflow.queue.-f-i-f-o-queue.pbtxt Move some class symbols from tf 2.0. 2018-12-11 10:25:27 -08:00
tensorflow.queue.-padding-f-i-f-o-queue.pbtxt Move some class symbols from tf 2.0. 2018-12-11 10:25:27 -08:00
tensorflow.queue.-priority-queue.pbtxt Move some class symbols from tf 2.0. 2018-12-11 10:25:27 -08:00
tensorflow.queue.-queue-base.pbtxt Move some class symbols from tf 2.0. 2018-12-11 10:25:27 -08:00
tensorflow.queue.-random-shuffle-queue.pbtxt Move some class symbols from tf 2.0. 2018-12-11 10:25:27 -08:00
tensorflow.queue.pbtxt Move some class symbols from tf 2.0. 2018-12-11 10:25:27 -08:00
tensorflow.ragged.pbtxt Add tf.ragged.cross and tf.ragged.cross_hashed operations. These ops generate feature crosses from a list of input tensors (similar to tf.sparse.cross), and return the result as a RaggedTensor. Inputs may be tf.RaggedTensors, tf.Tensors, or tf.SparseTensors. 2020-03-02 18:13:45 -08:00
tensorflow.random_normal_initializer.pbtxt
tensorflow.random_uniform_initializer.pbtxt Remove dtype argument from the init method of the initializers in v2 and the partition_info from the call. Move all API symbols to only Keras in v2. 2018-12-21 03:38:42 -08:00
tensorflow.random.-algorithm.pbtxt Moves tf.random.experimental.Generator out of experimental status 2019-12-18 13:56:27 -08:00
tensorflow.random.-generator.pbtxt Moves tf.random.experimental.Generator out of experimental status 2019-12-18 13:56:27 -08:00
tensorflow.random.experimental.-algorithm.pbtxt Adds examples in stateful_random_ops.py, improves some docstrings, and also adds missing export for algorithm enum. 2019-12-16 14:06:51 -08:00
tensorflow.random.experimental.-generator.pbtxt Makes tf.random.experimental.Generator a CompositeTensor. 2019-11-11 16:22:34 -08:00
tensorflow.random.experimental.pbtxt Adds tf.random.experimental.stateless_split and tf.random.experimental.stateless_fold_in to manage seeds for stateless RNGs. 2020-03-23 14:42:43 -07:00
tensorflow.random.pbtxt Add StatelessParameterizedTruncatedNormal sampler. 2020-06-18 10:28:38 -07:00
tensorflow.raw_ops.pbtxt Add StatelessParameterizedTruncatedNormal sampler. 2020-06-18 10:28:38 -07:00
tensorflow.saved_model.-asset.pbtxt Add tf.saved_model.Asset public symbol. 2019-09-05 23:46:40 -07:00
tensorflow.saved_model.-load-options.pbtxt Add load option for loading SavedModel from specific io_device for distributed training. 2020-06-15 15:34:47 -07:00
tensorflow.saved_model.-save-options.pbtxt Add an option to choose the I/O Device for saving and loading models. 2020-04-22 11:27:15 -07:00
tensorflow.saved_model.pbtxt Add load option for loading SavedModel from specific io_device for distributed training. 2020-06-15 15:34:47 -07:00
tensorflow.sets.pbtxt Update the name for tf.sets.set_* to tf.sets.* and exporting to v2 and v1. 2018-11-15 17:56:15 -08:00
tensorflow.signal.pbtxt tf.signal: Add a Modified Discrete Cosine Transform (MDCT) and its inverse to tf.signal. 2020-01-10 09:08:22 -08:00
tensorflow.sparse.-sparse-tensor.pbtxt Move TensorLike under types.internal and rename it NativeObject to distinguish from types which actually behave like tensors. 2020-04-22 13:02:41 -07:00
tensorflow.sparse.pbtxt Export Hashing layer. Add separator for CategoryCrossing and tf.sparse.cross. Add benchmarks for hashing. 2020-05-20 16:43:49 -07:00
tensorflow.strings.pbtxt Create a C++ string-ngrams op. 2019-07-25 11:21:48 -07:00
tensorflow.summary.-summary-writer.pbtxt Change TF 2.0 tf.summary.SummaryWriter to map 1:1 to underlying resource 2019-02-22 13:44:32 -08:00
tensorflow.summary.experimental.pbtxt Add tf.summary.experimental.write_raw_pb() to replace import_event() 2019-04-11 17:59:49 -07:00
tensorflow.summary.pbtxt Exposes should_record_summaries() and optimizes for static record_if values. 2020-04-22 13:52:03 -07:00
tensorflow.sysconfig.pbtxt Provide NVIDIA CUDA build data in metadata and API 2020-06-05 16:44:24 -07:00
tensorflow.test.-benchmark.pbtxt Add metrics fields to BenchmarkEntry in test_log.proto. 2019-04-08 20:06:21 -07:00
tensorflow.test.pbtxt [TF XLA] Add ability to convert SavedModel subgraphs to compiled [XLA CPU] objects via saved_model_cli. 2020-01-16 14:26:12 -08:00
tensorflow.tpu.experimental.-device-assignment.pbtxt Expose experimental device assignment helper 2019-03-13 14:15:47 -07:00
tensorflow.tpu.experimental.-t-p-u-system-metadata.pbtxt Add get_tpu_system_metadata API to TPUClusterResolver. Also export tf.tpu.experimental.TPUSystemMetadata and tf.tpu.experimental.Topology symbols. 2020-03-18 19:48:04 -07:00
tensorflow.tpu.experimental.-topology.pbtxt Add get_tpu_system_metadata API to TPUClusterResolver. Also export tf.tpu.experimental.TPUSystemMetadata and tf.tpu.experimental.Topology symbols. 2020-03-18 19:48:04 -07:00
tensorflow.tpu.experimental.embedding.-adagrad.pbtxt Add TPUEmbedding mid level API. 2020-05-19 10:00:34 -07:00
tensorflow.tpu.experimental.embedding.-adam.pbtxt Add TPUEmbedding mid level API. 2020-05-19 10:00:34 -07:00
tensorflow.tpu.experimental.embedding.-feature-config.pbtxt Add TPUEmbedding mid level API. 2020-05-19 10:00:34 -07:00
tensorflow.tpu.experimental.embedding.-s-g-d.pbtxt Add TPUEmbedding mid level API. 2020-05-19 10:00:34 -07:00
tensorflow.tpu.experimental.embedding.-t-p-u-embedding.pbtxt Add TPUEmbedding mid level API. 2020-05-19 10:00:34 -07:00
tensorflow.tpu.experimental.embedding.-table-config.pbtxt Add TPUEmbedding mid level API. 2020-05-19 10:00:34 -07:00
tensorflow.tpu.experimental.embedding.pbtxt Add TPUEmbedding mid level API. 2020-05-19 10:00:34 -07:00
tensorflow.tpu.experimental.pbtxt Add TPUEmbedding mid level API. 2020-05-19 10:00:34 -07:00
tensorflow.tpu.pbtxt Expose TPUStrategy experimental symbols 2019-02-26 16:26:47 -08:00
tensorflow.train.-bytes-list.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-checkpoint-manager.pbtxt Extend tf.train.CheckpointManager functionality: 2020-02-12 19:37:30 -08:00
tensorflow.train.-checkpoint-options.pbtxt Add an option to choose the I/O Device for saving and loading models. 2020-04-22 11:27:15 -07:00
tensorflow.train.-checkpoint.pbtxt Add an option to choose the I/O Device for saving and loading models. 2020-04-22 11:27:15 -07:00
tensorflow.train.-cluster-def.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-cluster-spec.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-coordinator.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-example.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-exponential-moving-average.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-feature-list.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-feature-lists.-feature-list-entry.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-feature-lists.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-feature.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-features.-feature-entry.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-features.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-float-list.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-int64-list.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-job-def.-tasks-entry.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-job-def.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-sequence-example.pbtxt Keep 2 sets of API Goldens (goldens/v1 and goldens/v2). 2018-08-07 14:43:40 -07:00
tensorflow.train.-server-def.pbtxt Allow configuring device filters in eager cluster to isolate workers. 2020-01-29 16:24:08 -08:00
tensorflow.train.experimental.-dynamic-loss-scale.pbtxt Merge the two LossScale classes. 2019-05-14 14:58:15 -07:00
tensorflow.train.experimental.-fixed-loss-scale.pbtxt Merge the two LossScale classes. 2019-05-14 14:58:15 -07:00
tensorflow.train.experimental.-loss-scale.pbtxt Merge the two LossScale classes. 2019-05-14 14:58:15 -07:00
tensorflow.train.experimental.-python-state.pbtxt Adds tf.train.experimental.PythonState 2019-02-25 12:47:48 -08:00
tensorflow.train.experimental.pbtxt Reinstate graph rewrite mixed precision as experimental. 2019-08-02 12:47:39 -07:00
tensorflow.train.pbtxt Add an option to choose the I/O Device for saving and loading models. 2020-04-22 11:27:15 -07:00
tensorflow.version.pbtxt Updating constant endpoints. 2018-10-15 17:49:13 -07:00
tensorflow.xla.experimental.pbtxt Export xla.compile() and friends in v2. 2019-03-26 20:49:14 -07:00
tensorflow.xla.pbtxt Export xla.compile() and friends in v2. 2019-03-26 20:49:14 -07:00
tensorflow.zeros_initializer.pbtxt Remove dtype argument from the init method of the initializers in v2 and the partition_info from the call. Move all API symbols to only Keras in v2. 2018-12-21 03:38:42 -08:00