Struct tensorflow::ops::OptimizeDataset

pub struct OptimizeDataset { /* private fields */ }

Builder for the OptimizeDataset operation.

Implementations

impl OptimizeDataset

pub fn new() -> Self

Creates a new OptimizeDataset.

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 optimization_configs<ArgType: Into<Vec<String>>>( self, value: ArgType ) -> Self

Sets the optimization_configs attribute.

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

Adds a control input.

pub fn build<O0: Into<Output>, O1: Into<Output>>( &self, input_dataset: O0, optimizations: O1, scope: &mut Scope ) -> Result<Operation>

Builds the OptimizeDataset operation.

pub fn build_instance( &self, input_dataset: Output, optimizations: Output, scope: &mut Scope ) -> Result<OptimizeDatasetInst>

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

Trait Implementations

impl Debug for OptimizeDataset

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

Formats the value using the given formatter.

impl Default for OptimizeDataset

fn default() -> OptimizeDataset

Returns the “default value” for a type.