Struct tensorflow::eager::raw_ops::ApplyGradientDescent

pub struct ApplyGradientDescent { /* private fields */ }

ApplyGradientDescent

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

Implementations

impl ApplyGradientDescent

pub fn new() -> Self

Creates a new ApplyGradientDescent.

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

Sets the use_locking 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>>( &self, ctx: &'a Context, var: &T0, alpha: &T1, delta: &T2 ) -> Result<TensorHandle<'a>>

Execute apply_gradient_descent.

Trait Implementations

impl Clone for ApplyGradientDescent

fn clone(&self) -> ApplyGradientDescent

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for ApplyGradientDescent

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

Formats the value using the given formatter.

impl Default for ApplyGradientDescent

fn default() -> Self

Returns the “default value” for a type.