Struct tensorflow::eager::raw_ops::ParallelInterleaveDataset

pub struct ParallelInterleaveDataset { /* private fields */ }

ParallelInterleaveDataset

See : https://www.tensorflow.org/api_docs/python/tf/raw_ops/ParallelInterleaveDataset

Implementations

impl ParallelInterleaveDataset

pub fn new() -> Self

Creates a new ParallelInterleaveDataset.

pub fn f<ArgType: Into<String>>(self, value: ArgType) -> Self

Sets the f 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 target_device_name<ArgType: Into<String>>(self, value: ArgType) -> Self

Sets the `` attribute.

pub fn call<'a, T0: ToTensorHandle<'a>, T1: ToTensorHandle<'a>, T2: ToTensorHandle<'a>, T3: ToTensorHandle<'a>, T4: ToTensorHandle<'a>, T5: ToTensorHandle<'a>, T6: ToTensorHandle<'a>>( &self, ctx: &'a Context, input_dataset: &T0, other_arguments: &T1, cycle_length: &T2, block_length: &T3, sloppy: &T4, buffer_output_elements: &T5, prefetch_input_elements: &T6 ) -> Result<TensorHandle<'a>>

Execute parallel_interleave_dataset.

Trait Implementations

impl Clone for ParallelInterleaveDataset

fn clone(&self) -> ParallelInterleaveDataset

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for ParallelInterleaveDataset

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

Formats the value using the given formatter.

impl Default for ParallelInterleaveDataset

fn default() -> Self

Returns the “default value” for a type.