Struct tensorflow::ops::SparseAccumulatorApplyGradient

pub struct SparseAccumulatorApplyGradient { /* private fields */ }

Builder for the SparseAccumulatorApplyGradient operation.

Implementations

impl SparseAccumulatorApplyGradient

pub fn new() -> Self

Creates a new SparseAccumulatorApplyGradient.

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

Sets the dtype attribute.

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

Sets the has_known_shape 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>>( &self, handle: O0, local_step: O1, gradient_indices: O2, gradient_values: O3, gradient_shape: O4, scope: &mut Scope ) -> Result<Operation>

Builds the SparseAccumulatorApplyGradient operation.

pub fn build_instance( &self, handle: Output, local_step: Output, gradient_indices: Output, gradient_values: Output, gradient_shape: Output, scope: &mut Scope ) -> Result<SparseAccumulatorApplyGradientInst>

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

Trait Implementations

impl Debug for SparseAccumulatorApplyGradient

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

Formats the value using the given formatter.

impl Default for SparseAccumulatorApplyGradient

fn default() -> SparseAccumulatorApplyGradient

Returns the “default value” for a type.