Struct tensorflow::eager::raw_ops::ReduceDataset

pub struct ReduceDataset { /* private fields */ }

ReduceDataset

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

Implementations

impl ReduceDataset

pub fn new() -> Self

Creates a new ReduceDataset.

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

Sets the use_inter_op_parallelism 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, initial_state: &T1, other_arguments: &T2 ) -> Result<TensorHandle<'a>>

Execute reduce_dataset.

Trait Implementations

impl Clone for ReduceDataset

fn clone(&self) -> ReduceDataset

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for ReduceDataset

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

Formats the value using the given formatter.

impl Default for ReduceDataset

fn default() -> Self

Returns the “default value” for a type.