Struct tensorflow::ops::ParallelBatchDataset

pub struct ParallelBatchDataset { /* private fields */ }

Builder for the ParallelBatchDataset operation.

Implementations

impl ParallelBatchDataset

pub fn new() -> Self

Creates a new ParallelBatchDataset.

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

Sets the parallel_copy 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 deterministic<ArgType: Into<String>>(self, value: ArgType) -> Self

Sets the deterministic 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, num_parallel_calls: O2, drop_remainder: O3, scope: &mut Scope ) -> Result<Operation>

Builds the ParallelBatchDataset operation.

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

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

Trait Implementations

impl Debug for ParallelBatchDataset

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

Formats the value using the given formatter.

impl Default for ParallelBatchDataset

fn default() -> ParallelBatchDataset

Returns the “default value” for a type.