Struct tensorflow::ops::SparseApplyFtrl

pub struct SparseApplyFtrl { /* private fields */ }

Builder for the SparseApplyFtrl operation.

Implementations

impl SparseApplyFtrl

pub fn new() -> Self

Creates a new SparseApplyFtrl.

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 multiply_linear_by_lr<ArgType: Into<bool>>(self, value: ArgType) -> Self

Sets the multiply_linear_by_lr 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, accum: O1, linear: O2, grad: O3, indices: O4, lr: O5, l1: O6, l2: O7, lr_power: O8, scope: &mut Scope ) -> Result<Operation>

Builds the SparseApplyFtrl operation.

pub fn build_instance( &self, var: Output, accum: Output, linear: Output, grad: Output, indices: Output, lr: Output, l1: Output, l2: Output, lr_power: Output, scope: &mut Scope ) -> Result<SparseApplyFtrlInst>

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

Trait Implementations

impl Debug for SparseApplyFtrl

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

Formats the value using the given formatter.

impl Default for SparseApplyFtrl

fn default() -> SparseApplyFtrl

Returns the “default value” for a type.