Struct tensorflow::eager::raw_ops::SparseMatrixSoftmaxGrad

pub struct SparseMatrixSoftmaxGrad { /* private fields */ }

SparseMatrixSoftmaxGrad

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

Implementations

impl SparseMatrixSoftmaxGrad

pub fn new() -> Self

Creates a new SparseMatrixSoftmaxGrad.

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

Sets the type 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, softmax: &T0, grad_softmax: &T1 ) -> Result<TensorHandle<'a>>

Execute sparse_matrix_softmax_grad.

Trait Implementations

impl Clone for SparseMatrixSoftmaxGrad

fn clone(&self) -> SparseMatrixSoftmaxGrad

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for SparseMatrixSoftmaxGrad

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

Formats the value using the given formatter.

impl Default for SparseMatrixSoftmaxGrad

fn default() -> Self

Returns the “default value” for a type.