Struct tensorflow::eager::raw_ops::SparseMatrixSparseMatMul

pub struct SparseMatrixSparseMatMul { /* private fields */ }

SparseMatrixSparseMatMul

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

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 target_device_name<ArgType: Into<String>>(self, value: ArgType) -> Self

Sets the `` attribute.

pub fn call<'a, T0: ToTensorHandle<'a>, T1: ToTensorHandle<'a>>( &self, ctx: &'a Context, a: &T0, b: &T1 ) -> Result<TensorHandle<'a>>

Execute sparse_matrix_sparse_mat_mul.

Trait Implementations

impl Clone for SparseMatrixSparseMatMul

fn clone(&self) -> SparseMatrixSparseMatMul

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for SparseMatrixSparseMatMul

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

Formats the value using the given formatter.

impl Default for SparseMatrixSparseMatMul

fn default() -> Self

Returns the “default value” for a type.