Struct tensorflow::ops::RangeDataset

pub struct RangeDataset { /* private fields */ }

Builder for the RangeDataset operation.

Implementations

impl RangeDataset

pub fn new() -> Self

Creates a new RangeDataset.

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 replicate_on_split<ArgType: Into<bool>>(self, value: ArgType) -> Self

Sets the replicate_on_split 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>>( &self, start: O0, stop: O1, step: O2, scope: &mut Scope ) -> Result<Operation>

Builds the RangeDataset operation.

pub fn build_instance( &self, start: Output, stop: Output, step: Output, scope: &mut Scope ) -> Result<RangeDatasetInst>

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

Trait Implementations

impl Debug for RangeDataset

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

Formats the value using the given formatter.

impl Default for RangeDataset

fn default() -> RangeDataset

Returns the “default value” for a type.