Struct ExperimentalDenseToSparseBatchDataset

pub struct ExperimentalDenseToSparseBatchDataset { /* private fields */ }

ExperimentalDenseToSparseBatchDataset

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

Implementations

impl ExperimentalDenseToSparseBatchDataset

pub fn new() -> Self

Creates a new ExperimentalDenseToSparseBatchDataset.

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 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, row_shape: &T2, ) -> Result<TensorHandle<'a>>

Execute experimental_dense_to_sparse_batch_dataset.

Trait Implementations

impl Clone for ExperimentalDenseToSparseBatchDataset

fn clone(&self) -> ExperimentalDenseToSparseBatchDataset

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ExperimentalDenseToSparseBatchDataset

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

Formats the value using the given formatter.

impl Default for ExperimentalDenseToSparseBatchDataset

fn default() -> Self

Returns the “default value” for a type.