Struct tensorflow::ops::SparseApplyCenteredRMSProp

pub struct SparseApplyCenteredRMSProp { /* private fields */ }

Builder for the SparseApplyCenteredRMSProp operation.

Implementations

impl SparseApplyCenteredRMSProp

pub fn new() -> Self

Creates a new SparseApplyCenteredRMSProp.

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>, O9: Into<Output>>( &self, var: O0, mg: O1, ms: O2, mom: O3, lr: O4, rho: O5, momentum: O6, epsilon: O7, grad: O8, indices: O9, scope: &mut Scope ) -> Result<Operation>

Builds the SparseApplyCenteredRMSProp operation.

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

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

Trait Implementations

impl Debug for SparseApplyCenteredRMSProp

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

Formats the value using the given formatter.

impl Default for SparseApplyCenteredRMSProp

fn default() -> SparseApplyCenteredRMSProp

Returns the “default value” for a type.