Struct tensorflow::ops::SparseApplyProximalGradientDescent

pub struct SparseApplyProximalGradientDescent { /* private fields */ }

Builder for the SparseApplyProximalGradientDescent operation.

Implementations

impl SparseApplyProximalGradientDescent

pub fn new() -> Self

Creates a new SparseApplyProximalGradientDescent.

pub fn T<ArgType: Into<DataType>>(self, value: ArgType) -> Self

Sets the T attribute.

pub fn Tindices<ArgType: Into<DataType>>(self, value: ArgType) -> Self

Sets the Tindices attribute.

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

Sets the use_locking attribute.

pub fn add_control_input(self, op: Operation) -> Self

Adds a control input.

pub fn build<O0: Into<Output>, O1: Into<Output>, O2: Into<Output>, O3: Into<Output>, O4: Into<Output>, O5: Into<Output>>( &self, var: O0, alpha: O1, l1: O2, l2: O3, grad: O4, indices: O5, scope: &mut Scope ) -> Result<Operation>

Builds the SparseApplyProximalGradientDescent operation.

pub fn build_instance( &self, var: Output, alpha: Output, l1: Output, l2: Output, grad: Output, indices: Output, scope: &mut Scope ) -> Result<SparseApplyProximalGradientDescentInst>

Builds a new instance of ‘SparseApplyProximalGradientDescent’ Operation with it’s Outputs and Inputs exposed as methods.

Trait Implementations

impl Debug for SparseApplyProximalGradientDescent

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

Formats the value using the given formatter.

impl Default for SparseApplyProximalGradientDescent

fn default() -> SparseApplyProximalGradientDescent

Returns the “default value” for a type.