Struct tensorflow::ops::SparseCountSparseOutput

pub struct SparseCountSparseOutput { /* private fields */ }

Builder for the SparseCountSparseOutput operation.

Implementations

impl SparseCountSparseOutput

pub fn new() -> Self

Creates a new SparseCountSparseOutput.

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

Sets the T attribute.

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 output_type<ArgType: Into<DataType>>(self, value: ArgType) -> Self

Sets the output_type 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>>( &self, indices: O0, values: O1, dense_shape: O2, weights: O3, scope: &mut Scope ) -> Result<Operation>

Builds the SparseCountSparseOutput operation.

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

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

Trait Implementations

impl Debug for SparseCountSparseOutput

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

Formats the value using the given formatter.

impl Default for SparseCountSparseOutput

fn default() -> SparseCountSparseOutput

Returns the “default value” for a type.