Struct tensorflow::ops::MapAndBatchDataset

pub struct MapAndBatchDataset { /* private fields */ }

Builder for the MapAndBatchDataset operation.

Implementations

impl MapAndBatchDataset

pub fn new() -> Self

Creates a new MapAndBatchDataset.

pub fn f<ArgType: Into<String>>(self, value: ArgType) -> Self

Sets the f attribute.

pub fn Targuments<ArgType: Into<Vec<DataType>>>(self, value: ArgType) -> Self

Sets the Targuments attribute.

pub fn output_types<ArgType: Into<Vec<DataType>>>(self, value: ArgType) -> Self

Sets the output_types attribute.

pub fn output_shapes<ArgType: Into<Vec<Shape>>>(self, value: ArgType) -> Self

Sets the output_shapes attribute.

pub fn preserve_cardinality<ArgType: Into<bool>>(self, value: ArgType) -> Self

Sets the preserve_cardinality attribute.

pub fn metadata<ArgType: Into<String>>(self, value: ArgType) -> Self

Sets the metadata attribute.

pub fn add_control_input(self, op: Operation) -> Self

Adds a control input.

pub fn build<O0: Into<Output>, O1: Into<Output>, O2: Into<Output>, O3: Into<Output>, O4: Into<Output>>( &self, input_dataset: O0, other_arguments: O1, batch_size: O2, num_parallel_calls: O3, drop_remainder: O4, scope: &mut Scope ) -> Result<Operation>

Builds the MapAndBatchDataset operation.

pub fn build_instance( &self, input_dataset: Output, other_arguments: Output, batch_size: Output, num_parallel_calls: Output, drop_remainder: Output, scope: &mut Scope ) -> Result<MapAndBatchDatasetInst>

Builds a new instance of ‘MapAndBatchDataset’ Operation with it’s Outputs and Inputs exposed as methods.

Trait Implementations

impl Debug for MapAndBatchDataset

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for MapAndBatchDataset

fn default() -> MapAndBatchDataset

Returns the “default value” for a type.