Struct tensorflow::ops::PaddedBatchDataset

pub struct PaddedBatchDataset { /* private fields */ }

Builder for the PaddedBatchDataset operation.

Implementations

impl PaddedBatchDataset

pub fn new() -> Self

Creates a new PaddedBatchDataset.

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

Sets the Toutput_types attribute.

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

Sets the output_shapes attribute.

pub fn N<ArgType: Into<i64>>(self, value: ArgType) -> Self

Sets the N 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>>( &self, input_dataset: O0, batch_size: O1, padded_shapes: O2, padding_values: O3, scope: &mut Scope ) -> Result<Operation>

Builds the PaddedBatchDataset operation.

pub fn build_instance( &self, input_dataset: Output, batch_size: Output, padded_shapes: Vec<Output>, padding_values: Output, scope: &mut Scope ) -> Result<PaddedBatchDatasetInst>

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

Trait Implementations

impl Debug for PaddedBatchDataset

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

Formats the value using the given formatter.

impl Default for PaddedBatchDataset

fn default() -> PaddedBatchDataset

Returns the “default value” for a type.