Struct tensorflow::eager::raw_ops::BatchDatasetV2

pub struct BatchDatasetV2 { /* private fields */ }

BatchDatasetV2

See : https://www.tensorflow.org/api_docs/python/tf/raw_ops/BatchDatasetV2

Implementations

impl BatchDatasetV2

pub fn new() -> Self

Creates a new BatchDatasetV2.

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

Sets the parallel_copy 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>>( &self, ctx: &'a Context, input_dataset: &T0, batch_size: &T1, drop_remainder: &T2 ) -> Result<TensorHandle<'a>>

Execute batch_dataset_v2.

Trait Implementations

impl Clone for BatchDatasetV2

fn clone(&self) -> BatchDatasetV2

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for BatchDatasetV2

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

Formats the value using the given formatter.

impl Default for BatchDatasetV2

fn default() -> Self

Returns the “default value” for a type.