Public API for tf.experimental namespace.
Modules
dlpack module: Public API for tf.experimental.dlpack namespace.
dtensor module: Public API for tf.experimental.dtensor namespace.
numpy module: # tf.experimental.numpy: NumPy API on TensorFlow.
tensorrt module: Public API for tf.experimental.tensorrt 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 Optional: Represents a value that may or may not be present.
class RowPartition: Partitioning of a sequence of values into contiguous subsequences ("rows").
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.
function_executor_type(...): Context manager for setting the executor of eager defined functions.
register_filesystem_plugin(...): Loads a TensorFlow FileSystem plugin.
unregister_dispatch_for(...): Unregisters a function that was registered with @dispatch_for_*.