Struct tensorflow::eager::raw_ops::ResourceApplyGradientDescent

pub struct ResourceApplyGradientDescent { /* private fields */ }

ResourceApplyGradientDescent

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

Implementations

impl ResourceApplyGradientDescent

pub fn new() -> Self

Creates a new ResourceApplyGradientDescent.

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<()>

Execute resource_apply_gradient_descent.

Trait Implementations

impl Clone for ResourceApplyGradientDescent

fn clone(&self) -> ResourceApplyGradientDescent

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for ResourceApplyGradientDescent

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

Formats the value using the given formatter.

impl Default for ResourceApplyGradientDescent

fn default() -> Self

Returns the “default value” for a type.