Struct tensorflow::eager::raw_ops::RaggedCountSparseOutput

pub struct RaggedCountSparseOutput { /* private fields */ }

RaggedCountSparseOutput

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

Implementations

impl RaggedCountSparseOutput

pub fn new() -> Self

Creates a new RaggedCountSparseOutput.

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

Sets the minlength attribute.

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

Sets the maxlength attribute.

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

Sets the binary_output 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, splits: &T0, values: &T1, weights: &T2 ) -> Result<[TensorHandle<'a>; 3]>

Execute ragged_count_sparse_output.

Trait Implementations

impl Clone for RaggedCountSparseOutput

fn clone(&self) -> RaggedCountSparseOutput

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for RaggedCountSparseOutput

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

Formats the value using the given formatter.

impl Default for RaggedCountSparseOutput

fn default() -> Self

Returns the “default value” for a type.