Struct tensorflow::eager::raw_ops::SparseAccumulatorApplyGradient

pub struct SparseAccumulatorApplyGradient { /* private fields */ }

SparseAccumulatorApplyGradient

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

Implementations

impl SparseAccumulatorApplyGradient

pub fn new() -> Self

Creates a new SparseAccumulatorApplyGradient.

pub fn has_known_shape<ArgType: Into<bool>>(self, value: ArgType) -> Self

Sets the has_known_shape 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>, T4: ToTensorHandle<'a>>( &self, ctx: &'a Context, handle: &T0, local_step: &T1, gradient_indices: &T2, gradient_values: &T3, gradient_shape: &T4 ) -> Result<()>

Execute sparse_accumulator_apply_gradient.

Trait Implementations

impl Clone for SparseAccumulatorApplyGradient

fn clone(&self) -> SparseAccumulatorApplyGradient

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for SparseAccumulatorApplyGradient

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

Formats the value using the given formatter.

impl Default for SparseAccumulatorApplyGradient

fn default() -> Self

Returns the “default value” for a type.