Struct tensorflow::eager::raw_ops::ApplyAdaMax

pub struct ApplyAdaMax { /* private fields */ }

ApplyAdaMax

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

Implementations

impl ApplyAdaMax

pub fn new() -> Self

Creates a new ApplyAdaMax.

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>, T3: ToTensorHandle<'a>, T4: ToTensorHandle<'a>, T5: ToTensorHandle<'a>, T6: ToTensorHandle<'a>, T7: ToTensorHandle<'a>, T8: ToTensorHandle<'a>>( &self, ctx: &'a Context, var: &T0, m: &T1, v: &T2, beta1_power: &T3, lr: &T4, beta1: &T5, beta2: &T6, epsilon: &T7, grad: &T8 ) -> Result<TensorHandle<'a>>

Execute apply_ada_max.

Trait Implementations

impl Clone for ApplyAdaMax

fn clone(&self) -> ApplyAdaMax

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for ApplyAdaMax

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

Formats the value using the given formatter.

impl Default for ApplyAdaMax

fn default() -> Self

Returns the “default value” for a type.