Struct tensorflow::eager::raw_ops::SparseMatMul

pub struct SparseMatMul { /* private fields */ }

SparseMatMul

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

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 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_mat_mul.

Trait Implementations

impl Clone for SparseMatMul

fn clone(&self) -> SparseMatMul

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for SparseMatMul

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

Formats the value using the given formatter.

impl Default for SparseMatMul

fn default() -> Self

Returns the “default value” for a type.