Struct tensorflow::eager::raw_ops::SparseTensorDenseMatMul

pub struct SparseTensorDenseMatMul { /* private fields */ }

SparseTensorDenseMatMul

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

Implementations

impl SparseTensorDenseMatMul

pub fn new() -> Self

Creates a new SparseTensorDenseMatMul.

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>, T2: ToTensorHandle<'a>, T3: ToTensorHandle<'a>>( &self, ctx: &'a Context, a_indices: &T0, a_values: &T1, a_shape: &T2, b: &T3 ) -> Result<TensorHandle<'a>>

Execute sparse_tensor_dense_mat_mul.

Trait Implementations

impl Clone for SparseTensorDenseMatMul

fn clone(&self) -> SparseTensorDenseMatMul

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for SparseTensorDenseMatMul

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

Formats the value using the given formatter.

impl Default for SparseTensorDenseMatMul

fn default() -> Self

Returns the “default value” for a type.