Struct tensorflow::eager::raw_ops::SparseSparseMaximum

pub struct SparseSparseMaximum { /* private fields */ }

SparseSparseMaximum

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

Implementations

impl SparseSparseMaximum

pub fn new() -> Self

Creates a new SparseSparseMaximum.

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>, T4: ToTensorHandle<'a>, T5: ToTensorHandle<'a>>( &self, ctx: &'a Context, a_indices: &T0, a_values: &T1, a_shape: &T2, b_indices: &T3, b_values: &T4, b_shape: &T5 ) -> Result<[TensorHandle<'a>; 2]>

Execute sparse_sparse_maximum.

Trait Implementations

impl Clone for SparseSparseMaximum

fn clone(&self) -> SparseSparseMaximum

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for SparseSparseMaximum

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

Formats the value using the given formatter.

impl Default for SparseSparseMaximum

fn default() -> Self

Returns the “default value” for a type.