Struct tensorflow::ops::SparseApplyRMSProp

pub struct SparseApplyRMSProp { /* private fields */ }

Builder for the SparseApplyRMSProp operation.

Implementations

impl SparseApplyRMSProp

pub fn new() -> Self

Creates a new SparseApplyRMSProp.

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>, O6: Into<Output>, O7: Into<Output>, O8: Into<Output>>( &self, var: O0, ms: O1, mom: O2, lr: O3, rho: O4, momentum: O5, epsilon: O6, grad: O7, indices: O8, scope: &mut Scope ) -> Result<Operation>

Builds the SparseApplyRMSProp operation.

pub fn build_instance( &self, var: Output, ms: Output, mom: Output, lr: Output, rho: Output, momentum: Output, epsilon: Output, grad: Output, indices: Output, scope: &mut Scope ) -> Result<SparseApplyRMSPropInst>

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

Trait Implementations

impl Debug for SparseApplyRMSProp

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

Formats the value using the given formatter.

impl Default for SparseApplyRMSProp

fn default() -> SparseApplyRMSProp

Returns the “default value” for a type.