Struct tensorflow::ops::SparseMatrixSparseMatMul

pub struct SparseMatrixSparseMatMul { /* private fields */ }

Builder for the SparseMatrixSparseMatMul operation.

Implementations

impl SparseMatrixSparseMatMul

pub fn new() -> Self

Creates a new SparseMatrixSparseMatMul.

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

Sets the type attribute.

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

Sets the transpose_a attribute.

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

Sets the transpose_b attribute.

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

Sets the adjoint_a attribute.

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

Sets the adjoint_b attribute.

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

Adds a control input.

pub fn build<O0: Into<Output>, O1: Into<Output>>( &self, a: O0, b: O1, scope: &mut Scope ) -> Result<Operation>

Builds the SparseMatrixSparseMatMul operation.

pub fn build_instance( &self, a: Output, b: Output, scope: &mut Scope ) -> Result<SparseMatrixSparseMatMulInst>

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

Trait Implementations

impl Debug for SparseMatrixSparseMatMul

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

Formats the value using the given formatter.

impl Default for SparseMatrixSparseMatMul

fn default() -> SparseMatrixSparseMatMul

Returns the “default value” for a type.