Struct tensorflow::ops::SparseSegmentMeanGrad

pub struct SparseSegmentMeanGrad { /* private fields */ }

Builder for the SparseSegmentMeanGrad operation.

Implementations

impl SparseSegmentMeanGrad

pub fn new() -> Self

Creates a new SparseSegmentMeanGrad.

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

Sets the T attribute.

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

Sets the Tidx attribute.

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

Sets the Tsegmentids 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>>(
    &self,
    grad: O0,
    indices: O1,
    segment_ids: O2,
    output_dim0: O3,
    scope: &mut Scope
) -> Result<Operation>

Builds the SparseSegmentMeanGrad operation.

pub fn build_instance(
    &self,
    grad: Output,
    indices: Output,
    segment_ids: Output,
    output_dim0: Output,
    scope: &mut Scope
) -> Result<SparseSegmentMeanGradInst>

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

Trait Implementations

impl Debug for SparseSegmentMeanGrad

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

Formats the value using the given formatter.

impl Default for SparseSegmentMeanGrad

fn default() -> SparseSegmentMeanGrad

Returns the “default value” for a type.