Struct tensorflow::ops::SamplingDataset

pub struct SamplingDataset { /* private fields */ }

Builder for the SamplingDataset operation.

Implementations

impl SamplingDataset

pub fn new() -> Self

Creates a new SamplingDataset.

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 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, rate: O1, seed: O2, seed2: O3, scope: &mut Scope ) -> Result<Operation>

Builds the SamplingDataset operation.

pub fn build_instance( &self, input_dataset: Output, rate: Output, seed: Output, seed2: Output, scope: &mut Scope ) -> Result<SamplingDatasetInst>

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

Trait Implementations

impl Debug for SamplingDataset

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

Formats the value using the given formatter.

impl Default for SamplingDataset

fn default() -> SamplingDataset

Returns the “default value” for a type.