Struct tensorflow::ops::SparseSegmentMeanWithNumSegments

pub struct SparseSegmentMeanWithNumSegments { /* private fields */ }

Builder for the SparseSegmentMeanWithNumSegments operation.

Implementations

impl SparseSegmentMeanWithNumSegments

pub fn new() -> Self

Creates a new SparseSegmentMeanWithNumSegments.

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 Tnumsegments<ArgType: Into<DataType>>(self, value: ArgType) -> Self

Sets the Tnumsegments 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, data: O0, indices: O1, segment_ids: O2, num_segments: O3, scope: &mut Scope ) -> Result<Operation>

Builds the SparseSegmentMeanWithNumSegments operation.

pub fn build_instance( &self, data: Output, indices: Output, segment_ids: Output, num_segments: Output, scope: &mut Scope ) -> Result<SparseSegmentMeanWithNumSegmentsInst>

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

Trait Implementations

impl Debug for SparseSegmentMeanWithNumSegments

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

Formats the value using the given formatter.

impl Default for SparseSegmentMeanWithNumSegments

fn default() -> SparseSegmentMeanWithNumSegments

Returns the “default value” for a type.