Module: tf.compat.v1.experimental  |  TensorFlow v2.16.1 (original) (raw)

Module: tf.compat.v1.experimental

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Public API for tf._api.v2.experimental namespace

Modules

extension_type module: Public API for tf._api.v2.experimental.extension_type namespace

Classes

class BatchableExtensionType: An ExtensionType that can be batched and unbatched.

class DynamicRaggedShape: The shape of a ragged or dense tensor.

class ExtensionType: Base class for TensorFlow ExtensionType classes.

class ExtensionTypeBatchEncoder: Class used to encode and decode extension type values for batching.

class ExtensionTypeSpec: Base class for tf.ExtensionType TypeSpec.

class Optional: Represents a value that may or may not be present.

class RowPartition: Partitioning of a sequence of values into contiguous subsequences ("rows").

class StructuredTensor: A multidimensional collection of structures with the same schema.

Functions

async_clear_error(...): Clear pending operations and error statuses in async execution.

async_scope(...): Context manager for grouping async operations.

dispatch_for_api(...): Decorator that overrides the default implementation for a TensorFlow API.

dispatch_for_binary_elementwise_apis(...): Decorator to override default implementation for binary elementwise APIs.

dispatch_for_binary_elementwise_assert_apis(...): Decorator to override default implementation for binary elementwise assert APIs.

dispatch_for_unary_elementwise_apis(...): Decorator to override default implementation for unary elementwise APIs.

enable_strict_mode(...): If called, enables strict mode for all behaviors.

function_executor_type(...): Context manager for setting the executor of eager defined functions.

output_all_intermediates(...): Whether to output all intermediates from functional control flow ops.

register_filesystem_plugin(...): Loads a TensorFlow FileSystem plugin.

unregister_dispatch_for(...): Unregisters a function that was registered with @dispatch_for_*.