Struct tensorflow::ops::RaggedTensorToVariantGradient

pub struct RaggedTensorToVariantGradient { /* private fields */ }

Builder for the RaggedTensorToVariantGradient operation.

Implementations

impl RaggedTensorToVariantGradient

pub fn new() -> Self

Creates a new RaggedTensorToVariantGradient.

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

Sets the Tvalues attribute.

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

Sets the Tsplits 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>>( &self, encoded_ragged_grad: O0, row_splits: O1, dense_values_shape: O2, scope: &mut Scope ) -> Result<Operation>

Builds the RaggedTensorToVariantGradient operation.

pub fn build_instance( &self, encoded_ragged_grad: Output, row_splits: Output, dense_values_shape: Output, scope: &mut Scope ) -> Result<RaggedTensorToVariantGradientInst>

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

Trait Implementations

impl Debug for RaggedTensorToVariantGradient

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

Formats the value using the given formatter.

impl Default for RaggedTensorToVariantGradient

fn default() -> RaggedTensorToVariantGradient

Returns the “default value” for a type.