Struct tensorflow::eager::raw_ops::SparseSegmentMeanWithNumSegments

pub struct SparseSegmentMeanWithNumSegments { /* private fields */ }

SparseSegmentMeanWithNumSegments

See : https://www.tensorflow.org/api_docs/python/tf/raw_ops/SparseSegmentMeanWithNumSegments

Implementations

impl SparseSegmentMeanWithNumSegments

pub fn new() -> Self

Creates a new SparseSegmentMeanWithNumSegments.

pub fn target_device_name<ArgType: Into<String>>(self, value: ArgType) -> Self

Sets the `` attribute.

pub fn call<'a, T0: ToTensorHandle<'a>, T1: ToTensorHandle<'a>, T2: ToTensorHandle<'a>, T3: ToTensorHandle<'a>>( &self, ctx: &'a Context, data: &T0, indices: &T1, segment_ids: &T2, num_segments: &T3 ) -> Result<TensorHandle<'a>>

Execute sparse_segment_mean_with_num_segments.

Trait Implementations

impl Clone for SparseSegmentMeanWithNumSegments

fn clone(&self) -> SparseSegmentMeanWithNumSegments

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for SparseSegmentMeanWithNumSegments

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

Formats the value using the given formatter.

impl Default for SparseSegmentMeanWithNumSegments

fn default() -> Self

Returns the “default value” for a type.