Struct tensorflow::ops::SparseBincount

pub struct SparseBincount { /* private fields */ }

Builder for the SparseBincount operation.

Implementations

impl SparseBincount

pub fn new() -> Self

Creates a new SparseBincount.

pub fn Tidx<ArgType: Into<DataType>>(self, value: ArgType) -> Self

Sets the Tidx attribute.

pub fn T<ArgType: Into<DataType>>(self, value: ArgType) -> Self

Sets the T attribute.

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

Sets the binary_output attribute.

pub fn add_control_input(self, op: Operation) -> Self

Adds a control input.

pub fn build<O0: Into<Output>, O1: Into<Output>, O2: Into<Output>, O3: Into<Output>, O4: Into<Output>>( &self, indices: O0, values: O1, dense_shape: O2, size: O3, weights: O4, scope: &mut Scope ) -> Result<Operation>

Builds the SparseBincount operation.

pub fn build_instance( &self, indices: Output, values: Output, dense_shape: Output, size: Output, weights: Output, scope: &mut Scope ) -> Result<SparseBincountInst>

Builds a new instance of ‘SparseBincount’ Operation with it’s Outputs and Inputs exposed as methods.

Trait Implementations

impl Debug for SparseBincount

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

Formats the value using the given formatter.

impl Default for SparseBincount

fn default() -> SparseBincount

Returns the “default value” for a type.