Struct tensorflow::ops::InterleaveDataset

pub struct InterleaveDataset { /* private fields */ }

Builder for the InterleaveDataset operation.

Implementations

impl InterleaveDataset

pub fn new() -> Self

Creates a new InterleaveDataset.

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 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,
    other_arguments: O1,
    cycle_length: O2,
    block_length: O3,
    scope: &mut Scope
) -> Result<Operation>

Builds the InterleaveDataset operation.

pub fn build_instance(
    &self,
    input_dataset: Output,
    other_arguments: Output,
    cycle_length: Output,
    block_length: Output,
    scope: &mut Scope
) -> Result<InterleaveDatasetInst>

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

Trait Implementations

impl Debug for InterleaveDataset

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

Formats the value using the given formatter.

impl Default for InterleaveDataset

fn default() -> InterleaveDataset

Returns the “default value” for a type.