Struct tensorflow::ops::PrefetchDataset

pub struct PrefetchDataset { /* private fields */ }

Builder for the PrefetchDataset operation.

Implementations

impl PrefetchDataset

pub fn new() -> Self

Creates a new PrefetchDataset.

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 slack_period<ArgType: Into<i64>>(self, value: ArgType) -> Self

Sets the slack_period attribute.

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

Sets the legacy_autotune attribute.

pub fn buffer_size_min<ArgType: Into<i64>>(self, value: ArgType) -> Self

Sets the buffer_size_min 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>>( &self, input_dataset: O0, buffer_size: O1, scope: &mut Scope ) -> Result<Operation>

Builds the PrefetchDataset operation.

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

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

Trait Implementations

impl Debug for PrefetchDataset

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

Formats the value using the given formatter.

impl Default for PrefetchDataset

fn default() -> PrefetchDataset

Returns the “default value” for a type.