Struct tensorflow::ops::SparseMatMul

pub struct SparseMatMul { /* private fields */ }

Builder for the SparseMatMul operation.

Implementations

impl SparseMatMul

pub fn new() -> Self

Creates a new SparseMatMul.

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

Sets the a_is_sparse attribute.

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

Sets the b_is_sparse attribute.

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

Sets the Ta attribute.

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

Sets the Tb 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 SparseMatMul operation.

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

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

Trait Implementations

impl Debug for SparseMatMul

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

Formats the value using the given formatter.

impl Default for SparseMatMul

fn default() -> SparseMatMul

Returns the “default value” for a type.