experimental tensorflow - Robuta Search

https://www.tensorflow.org/api_docs/python/tf/debugging/experimental Module: tf.debugging.experimental | TensorFlow v2.16.1 Public API for tf._api.v2.debugging.experimental namespace experimental tensorflow v2 module tf 16 1 debugging https://www.tensorflow.org/api_docs/python/tf/config/experimental Module: tf.config.experimental | TensorFlow v2.16.1 Public API for tf._api.v2.config.experimental namespace tf config experimental tensorflow v2 16 module https://www.tensorflow.org/tfx/api_docs/python/tfx/v1/orchestration/experimental Module: tfx.v1.orchestration.experimental | TFX | TensorFlow TFX orchestration.experimental module. module tfx v1 orchestration experimental tensorflow https://www.tensorflow.org/api_docs/python/tf/experimental Module: tf.experimental | TensorFlow v2.16.1 Public API for tf._api.v2.experimental namespace experimental tensorflow v2 module tf 16 1 https://www.tensorflow.org/api_docs/python/tf/types/experimental Module: tf.types.experimental | TensorFlow v2.16.1 Public API for tf._api.v2.types.experimental namespace experimental tensorflow v2 module tf 16 1 types https://www.tensorflow.org/api_docs/python/tf/compat/v1/random/experimental Module: tf.compat.v1.random.experimental | TensorFlow v2.16.1 Public API for tf._api.v2.random.experimental namespace module tf compat experimental tensorflow v2 16 1 v1 random https://www.tensorflow.org/api_docs/python/tf/compat/v1/xla/experimental Module: tf.compat.v1.xla.experimental | TensorFlow v2.16.1 Public API for tf._api.v2.xla.experimental namespace module tf compat experimental tensorflow v2 16 1 v1 xla https://www.tensorflow.org/api_docs/python/tf/compat/v1/autograph/experimental Module: tf.compat.v1.autograph.experimental | TensorFlow v2.16.1 Public API for tf._api.v2.autograph.experimental namespace module tf compat experimental tensorflow v2 16 1 v1 autograph https://www.tensorflow.org/tfx/api_docs/python/tfx/v1/dsl/experimental Module: tfx.v1.dsl.experimental | TFX | TensorFlow TFX dsl.experimental module. module tfx v1 experimental tensorflow dsl https://www.tensorflow.org/api_docs/python/tf/compat/v1/data/experimental Module: tf.compat.v1.data.experimental | TensorFlow v2.16.1 Public API for tf._api.v2.data.experimental namespace module tf compat experimental tensorflow v2 16 1 v1 data https://www.tensorflow.org/api_docs/python/tf/experimental/numpy/dsplit tf.experimental.numpy.dsplit | TensorFlow v2.16.1 TensorFlow variant of NumPy's dsplit. tf experimental numpy tensorflow v2 16 https://www.tensorflow.org/api_docs/python/tf/experimental/numpy/sinh tf.experimental.numpy.sinh | TensorFlow v2.16.1 TensorFlow variant of NumPy's sinh. tf experimental numpy tensorflow v2 16 sinh https://www.tensorflow.org/api_docs/python/tf/distribute/experimental/rpc Module: tf.distribute.experimental.rpc | TensorFlow v2.16.1 Public API for tf._api.v2.distribute.experimental.rpc namespace module tf distribute tensorflow v2 16 experimental rpc https://www.tensorflow.org/api_docs/python/tf/distribute/experimental/rpc/Server tf.distribute.experimental.rpc.Server | TensorFlow v2.16.1 A Server base class for accepting RPCs for registered tf.functions. tf distribute experimental tensorflow v2 16 rpc server https://www.tensorflow.org/api_docs/python/tf/data/experimental/rejection_resample tf.data.experimental.rejection_resample | TensorFlow v2.16.1 A transformation that resamples a dataset to achieve a target distribution. (deprecated) tf data experimental tensorflow v2 16 rejection https://www.tensorflow.org/api_docs/python/tf/experimental/numpy/arccos tf.experimental.numpy.arccos | TensorFlow v2.16.1 TensorFlow variant of NumPy's arccos. tf experimental numpy tensorflow v2 16 arccos https://www.tensorflow.org/tfx/api_docs/python/tfx/v1/orchestration/experimental/exit_handler tfx.v1.orchestration.experimental.exit_handler | TFX | TensorFlow Creates an exit handler from a typehint-annotated Python function. tfx v1 orchestration experimental exit handler tensorflow https://www.tensorflow.org/tfx/transform/api_docs/python/tft_beam/experimental Module: tft_beam.experimental | TFX | TensorFlow Module level imports for tensorflow_transform.beam.experimental. tfx tensorflow module tft beam experimental https://www.tensorflow.org/api_docs/python/tf/experimental/dtensor/jobs tf.experimental.dtensor.jobs | TensorFlow v2.16.1 Returns a list of job names of all clients in this DTensor cluster. tf experimental dtensor tensorflow v2 16 jobs https://www.tensorflow.org/api_docs/python/tf/distribute/experimental/partitioners/MaxSizePartitioner tf.distribute.experimental.partitioners.MaxSizePartitioner | TensorFlow v2.16.1 Partitioner that keeps shards below max_shard_bytes. tf distribute experimental tensorflow v2 16 https://www.tensorflow.org/api_docs/python/tf/experimental/numpy/true_divide tf.experimental.numpy.true_divide | TensorFlow v2.16.1 TensorFlow variant of NumPy's true_divide. tf experimental numpy divide tensorflow v2 16 1 true https://www.tensorflow.org/api_docs/python/tf/profiler/experimental/client/trace tf.profiler.experimental.client.trace | TensorFlow v2.16.1 Sends gRPC requests to one or more profiler servers to perform on-demand profiling. trace tensorflow v2 16 1 tf profiler experimental https://www.tensorflow.org/api_docs/python/tf/experimental/Optional tf.experimental.Optional | TensorFlow v2.16.1 Represents a value that may or may not be present. tensorflow v2 16 tf experimental optional https://www.tensorflow.org/api_docs/python/tf/saved_model/experimental/VariablePolicy tf.saved_model.experimental.VariablePolicy | TensorFlow v2.16.1 Enum defining options for variable handling when saving. tf saved model tensorflow v2 16 experimental https://www.tensorflow.org/api_docs/python/tf/experimental/numpy/random/randint tf.experimental.numpy.random.randint | TensorFlow v2.16.1 TensorFlow variant of NumPy's random.randint. tf experimental numpy tensorflow v2 16 random https://www.tensorflow.org/api_docs/python/tf/experimental/numpy/bitwise_not tf.experimental.numpy.bitwise_not | TensorFlow v2.16.1 TensorFlow variant of NumPy's bitwise_not. tf experimental numpy tensorflow v2 16 bitwise https://www.tensorflow.org/api_docs/python/tf/experimental/numpy/power tf.experimental.numpy.power | TensorFlow v2.16.1 TensorFlow variant of NumPy's power. tf experimental numpy tensorflow v2 16 power https://www.tensorflow.org/api_docs/python/tf/xla/experimental/compile tf.xla.experimental.compile | TensorFlow v2.16.1 Builds an operator that compiles and runs computation with XLA. (deprecated) tensorflow v2 16 tf xla experimental compile https://www.tensorflow.org/api_docs/python/tf/experimental/dtensor/default_mesh tf.experimental.dtensor.default_mesh | TensorFlow v2.16.1 Sets the default DTensor device mesh to use for enclosed functions. tf experimental dtensor tensorflow v2 16 default mesh https://www.tensorflow.org/api_docs/python/tf/experimental/numpy/bitwise_xor tf.experimental.numpy.bitwise_xor | TensorFlow v2.16.1 TensorFlow variant of NumPy's bitwise_xor. tf experimental numpy tensorflow v2 16 bitwise xor https://www.tensorflow.org/api_docs/python/tf/profiler/experimental/stop tf.profiler.experimental.stop | TensorFlow v2.16.1 Stops the current profiling session. tensorflow v2 16 tf profiler experimental stop https://www.tensorflow.org/api_docs/python/tf/data/experimental/group_by_window tf.data.experimental.group_by_window | TensorFlow v2.16.1 A transformation that groups windows of elements by key and reduces them. (deprecated) tf data experimental tensorflow v2 16 group window https://www.tensorflow.org/api_docs/python/tf/experimental/numpy/floor_divide tf.experimental.numpy.floor_divide | TensorFlow v2.16.1 TensorFlow variant of NumPy's floor_divide. tf experimental numpy divide tensorflow v2 16 1 floor https://www.tensorflow.org/api_docs/python/tf/experimental/StructuredTensor/Spec tf.experimental.StructuredTensor.Spec | TensorFlow v2.16.1 A spec for StructuredTensor. tensorflow v2 16 tf experimental spec https://www.tensorflow.org/api_docs/python/tf/tpu/experimental/embedding/TPUEmbedding tf.tpu.experimental.embedding.TPUEmbedding | TensorFlow v2.16.1 The TPUEmbedding mid level API. tensorflow v2 16 tf tpu experimental embedding https://www.tensorflow.org/api_docs/python/tf/experimental/numpy/log2 tf.experimental.numpy.log2 | TensorFlow v2.16.1 TensorFlow variant of NumPy's log2. tf experimental numpy tensorflow v2 16 https://www.tensorflow.org/api_docs/python/tf/data/experimental/get_structure tf.data.experimental.get_structure | TensorFlow v2.16.1 Returns the type signature for elements of the input dataset / iterator. tf data experimental tensorflow v2 16 get structure https://www.tensorflow.org/api_docs/python/tf/experimental/numpy/exp tf.experimental.numpy.exp | TensorFlow v2.16.1 TensorFlow variant of NumPy's exp. tf experimental numpy tensorflow v2 16 https://www.tensorflow.org/api_docs/python/tf/experimental/numpy/sin tf.experimental.numpy.sin | TensorFlow v2.16.1 TensorFlow variant of NumPy's sin. tf experimental numpy sin tensorflow v2 16 1 https://www.tensorflow.org/api_docs/python/tf/train/experimental/PythonState tf.train.experimental.PythonState | TensorFlow v2.16.1 A mixin for putting Python state in an object-based checkpoint. tensorflow v2 16 tf train experimental https://www.tensorflow.org/api_docs/python/tf/config/optimizer/set_experimental_options tf.config.optimizer.set_experimental_options | TensorFlow v2.16.1 Set experimental optimizer options. tensorflow v2 16 tf config optimizer set experimental https://www.tensorflow.org/api_docs/python/tf/experimental/numpy/float64 tf.experimental.numpy.float64 | TensorFlow v2.16.1 Double-precision floating-point number type, compatible with Python float and C double. tf experimental numpy tensorflow v2 16 float64 https://www.tensorflow.org/api_docs/python/tf/experimental/numpy/uint64 tf.experimental.numpy.uint64 | TensorFlow v2.16.1 Unsigned integer type, compatible with C unsigned long. tf experimental numpy tensorflow v2 16 uint64 https://www.tensorflow.org/api_docs/python/tf/experimental/dtensor/fetch_layout tf.experimental.dtensor.fetch_layout | TensorFlow v2.16.1 Fetches the layout of a DTensor. tf experimental dtensor tensorflow v2 16 fetch layout https://www.tensorflow.org/api_docs/python/tf/experimental/dtensor/sharded_save tf.experimental.dtensor.sharded_save | TensorFlow v2.16.1 Saves given named tensor slices in a sharded, multi-client safe fashion. tf experimental dtensor tensorflow v2 16 sharded save https://www.tensorflow.org/api_docs/python/tf/experimental/numpy/object_ tf.experimental.numpy.object_ | TensorFlow v2.16.1 tf experimental numpy tensorflow v2 16 object https://www.tensorflow.org/tfx/api_docs/python/tfx/v1/orchestration/experimental/KubeflowDagRunnerConfig tfx.v1.orchestration.experimental.KubeflowDagRunnerConfig | TFX | TensorFlow Runtime configuration parameters specific to execution on Kubeflow. tfx v1 orchestration experimental tensorflow https://www.tensorflow.org/api_docs/python/tf/autograph/experimental/Feature tf.autograph.experimental.Feature | TensorFlow v2.16.1 This enumeration represents optional conversion options. tensorflow v2 16 tf autograph experimental feature https://www.tensorflow.org/api_docs/python/tf/experimental/numpy/isscalar tf.experimental.numpy.isscalar | TensorFlow v2.16.1 TensorFlow variant of NumPy's isscalar. tf experimental numpy tensorflow v2 16 https://www.tensorflow.org/api_docs/python/tf/experimental/dtensor/Layout tf.experimental.dtensor.Layout | TensorFlow v2.16.1 Represents the layout information of a DTensor. tf experimental dtensor tensorflow v2 16 layout https://www.tensorflow.org/api_docs/python/tf/experimental/numpy/matmul tf.experimental.numpy.matmul | TensorFlow v2.16.1 TensorFlow variant of NumPy's matmul. tf experimental numpy tensorflow v2 16 matmul https://www.tensorflow.org/api_docs/python/tf/experimental/numpy/ones_like tf.experimental.numpy.ones_like | TensorFlow v2.16.1 TensorFlow variant of NumPy's ones_like. tf experimental numpy tensorflow v2 16 ones like https://www.tensorflow.org/api_docs/python/tf/data/experimental/service/ShardingPolicy tf.data.experimental.service.ShardingPolicy | TensorFlow v2.16.1 Specifies how to shard data among tf.data service workers. tf data experimental tensorflow v2 16 service https://www.tensorflow.org/api_docs/python/tf/data/experimental/AutotuneOptions tf.data.experimental.AutotuneOptions | TensorFlow v2.16.1 Represents options for autotuning dataset performance. tf data experimental tensorflow v2 16 https://www.tensorflow.org/api_docs/python/tf/compat/v1/GPUOptions/Experimental/VirtualDevices tf.compat.v1.GPUOptions.Experimental.VirtualDevices | TensorFlow v2.16.1 tf compat v1 tensorflow v2 16 experimental https://www.tensorflow.org/api_docs/python/tf/random/experimental/stateless_shuffle tf.random.experimental.stateless_shuffle | TensorFlow v2.16.1 Randomly and deterministically shuffles a tensor along its first dimension. tensorflow v2 16 tf random experimental stateless shuffle https://www.tensorflow.org/api_docs/python/tf/experimental/dtensor/name_based_save tf.experimental.dtensor.name_based_save | TensorFlow v2.16.1 Saves name based Tensor into a Checkpoint. tf experimental dtensor tensorflow v2 16 name based save https://www.tensorflow.org/api_docs/python/tf/config/experimental_connect_to_host tf.config.experimental_connect_to_host | TensorFlow v2.16.1 Connects to a single machine to enable remote execution on it. tf config experimental tensorflow v2 16 connect host https://www.tensorflow.org/api_docs/python/tf/experimental/numpy/expand_dims tf.experimental.numpy.expand_dims | TensorFlow v2.16.1 TensorFlow variant of NumPy's expand_dims. tf experimental numpy expand dims tensorflow v2 16 1 https://www.tensorflow.org/api_docs/python/tf/data/experimental/Reducer tf.data.experimental.Reducer | TensorFlow v2.16.1 A reducer is used for reducing a set of elements. tf data experimental tensorflow v2 16 reducer https://www.tensorflow.org/api_docs/python/tf/experimental/numpy/linspace tf.experimental.numpy.linspace | TensorFlow v2.16.1 TensorFlow variant of NumPy's linspace. tf experimental numpy tensorflow v2 16 linspace https://www.tensorflow.org/api_docs/python/tf/experimental/async_scope tf.experimental.async_scope | TensorFlow v2.16.1 Context manager for grouping async operations. scope tensorflow v2 tf experimental 16 1 async https://www.tensorflow.org/api_docs/python/tf/experimental/numpy/clip tf.experimental.numpy.clip | TensorFlow v2.16.1 TensorFlow variant of NumPy's clip. tf experimental numpy tensorflow v2 16 clip https://www.tensorflow.org/api_docs/python/tf/data/experimental/CsvDataset tf.data.experimental.CsvDataset | TensorFlow v2.16.1 A Dataset comprising lines from one or more CSV files. tf data experimental tensorflow v2 16 https://www.tensorflow.org/api_docs/python/tf/experimental/numpy/flip tf.experimental.numpy.flip | TensorFlow v2.16.1 TensorFlow variant of NumPy's flip. tf experimental numpy tensorflow v2 16 flip https://www.tensorflow.org/api_docs/python/tf/config/experimental/get_memory_usage tf.config.experimental.get_memory_usage | TensorFlow v2.16.1 Get the current memory usage, in bytes, for the chosen device. (deprecated) tf config experimental tensorflow v2 16 memory usage get https://www.tensorflow.org/api_docs/python/tf/data/experimental/dense_to_sparse_batch tf.data.experimental.dense_to_sparse_batch | TensorFlow v2.16.1 A transformation that batches ragged elements into tf.sparse.SparseTensors. (deprecated) tf data experimental tensorflow v2 16 dense sparse batch https://www.tensorflow.org/api_docs/python/tf/lite/experimental/OpResolverType tf.lite.experimental.OpResolverType | TensorFlow v2.16.1 Different types of op resolvers for Tensorflow Lite. tensorflow v2 16 tf lite experimental https://www.tensorflow.org/api_docs/python/tf/experimental/numpy/roll tf.experimental.numpy.roll | TensorFlow v2.16.1 TensorFlow variant of NumPy's roll. tf experimental numpy tensorflow v2 16 roll https://www.tensorflow.org/api_docs/python/tf/data/experimental/RandomDataset tf.data.experimental.RandomDataset | TensorFlow v2.16.1 A Dataset of pseudorandom values. (deprecated) tf data experimental tensorflow v2 16 https://www.tensorflow.org/api_docs/python/tf/data/experimental/service/CrossTrainerCache tf.data.experimental.service.CrossTrainerCache | TensorFlow v2.16.1 Options related to the tf.data service cross trainer cache. tf data experimental tensorflow v2 16 service https://www.tensorflow.org/api_docs/python/tf/data/experimental/parse_example_dataset tf.data.experimental.parse_example_dataset | TensorFlow v2.16.1 A transformation that parses Example protos into a dict of tensors. (deprecated) tf data experimental tensorflow v2 16 parse example dataset https://www.tensorflow.org/api_docs/python/tf/experimental/register_filesystem_plugin tf.experimental.register_filesystem_plugin | TensorFlow v2.16.1 Loads a TensorFlow FileSystem plugin. tensorflow v2 16 tf experimental register filesystem plugin https://www.tensorflow.org/api_docs/python/tf/train/experimental/MaxShardSizePolicy tf.train.experimental.MaxShardSizePolicy | TensorFlow v2.16.1 Policy that splits tensors into shards with a max shard size. tensorflow v2 16 tf train experimental https://www.tensorflow.org/api_docs/python/tf/experimental/numpy/less_equal tf.experimental.numpy.less_equal | TensorFlow v2.16.1 TensorFlow variant of NumPy's less_equal. tf experimental numpy tensorflow v2 16 less equal https://www.tensorflow.org/api_docs/python/tf/compat/v1/data/experimental/map_and_batch_with_legacy_function tf.compat.v1.data.experimental.map_and_batch_with_legacy_function | TensorFlow v2.16.1 Fused implementation of map and batch. (deprecated) tf compat v1 function tensorflow v2 data experimental map batch https://www.tensorflow.org/api_docs/python/tf/experimental/dispatch_for_binary_elementwise_apis tf.experimental.dispatch_for_binary_elementwise_apis | TensorFlow v2.16.1 Decorator to override default implementation for binary elementwise APIs. tensorflow v2 16 tf experimental dispatch binary elementwise https://www.tensorflow.org/api_docs/python/tf/experimental/numpy/nanmean tf.experimental.numpy.nanmean | TensorFlow v2.16.1 TensorFlow variant of NumPy's nanmean. tf experimental numpy tensorflow v2 16 https://www.tensorflow.org/api_docs/python/tf/data/experimental/from_variant tf.data.experimental.from_variant | TensorFlow v2.16.1 Constructs a dataset from the given variant and (nested) structure. tf data experimental tensorflow v2 16 variant https://www.tensorflow.org/api_docs/python/tf/experimental/dtensor Module: tf.experimental.dtensor | TensorFlow v2.16.1 Public API for tf._api.v2.experimental.dtensor namespace tf experimental dtensor tensorflow v2 16 module https://www.tensorflow.org/api_docs/python/tf/data/experimental/choose_from_datasets tf.data.experimental.choose_from_datasets | TensorFlow v2.16.1 Creates a dataset that deterministically chooses elements from datasets. (deprecated) tf data experimental tensorflow v2 16 choose datasets https://www.tensorflow.org/api_docs/python/tf/saved_model/experimental/TrackableResource tf.saved_model.experimental.TrackableResource | TensorFlow v2.16.1 Holds a Tensor which a tf.function can capture. tf saved model tensorflow v2 16 experimental https://www.tensorflow.org/api_docs/python/tf/quantization/experimental/TfRecordRepresentativeDatasetSaver tf.quantization.experimental.TfRecordRepresentativeDatasetSaver | TensorFlow v2.16.1 Representative dataset saver in TFRecord format. tensorflow v2 16 tf quantization experimental