Public API for tf.experimental namespace.
Modules
extension_type module: Public API for tf.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_*.
Other Members | |
|---|---|
| float8_e4m3fn |
Instance of tf.dtypes.DType
8-bit float with 4 exponent bits and 3 mantissa bits, with extended finite range. This type has no representation for inf, and only two NaN values: 0xFF for negative NaN, and 0x7F for positive NaN. |
| float8_e5m2 |
Instance of tf.dtypes.DType
8-bit float with 5 exponent bits and 2 mantissa bits. |