Struct tensorflow::eager::raw_ops::AccumulatorApplyGradient

pub struct AccumulatorApplyGradient { /* private fields */ }

AccumulatorApplyGradient

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

Implementations

impl AccumulatorApplyGradient

pub fn new() -> Self

Creates a new AccumulatorApplyGradient.

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>>( &self, ctx: &'a Context, handle: &T0, local_step: &T1, gradient: &T2 ) -> Result<()>

Execute accumulator_apply_gradient.

Trait Implementations

impl Clone for AccumulatorApplyGradient

fn clone(&self) -> AccumulatorApplyGradient

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for AccumulatorApplyGradient

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

Formats the value using the given formatter.

impl Default for AccumulatorApplyGradient

fn default() -> Self

Returns the “default value” for a type.