Struct tensorflow::ops::LearnedUnigramCandidateSampler

pub struct LearnedUnigramCandidateSampler { /* private fields */ }

Builder for the LearnedUnigramCandidateSampler operation.

Implementations

impl LearnedUnigramCandidateSampler

pub fn new() -> Self

Creates a new LearnedUnigramCandidateSampler.

pub fn num_true<ArgType: Into<i64>>(self, value: ArgType) -> Self

Sets the num_true attribute.

pub fn num_sampled<ArgType: Into<i64>>(self, value: ArgType) -> Self

Sets the num_sampled attribute.

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

Sets the unique attribute.

pub fn range_max<ArgType: Into<i64>>(self, value: ArgType) -> Self

Sets the range_max attribute.

pub fn seed<ArgType: Into<i64>>(self, value: ArgType) -> Self

Sets the seed attribute.

pub fn seed2<ArgType: Into<i64>>(self, value: ArgType) -> Self

Sets the seed2 attribute.

pub fn add_control_input(self, op: Operation) -> Self

Adds a control input.

pub fn build<O0: Into<Output>>( &self, true_classes: O0, scope: &mut Scope ) -> Result<Operation>

Builds the LearnedUnigramCandidateSampler operation.

pub fn build_instance( &self, true_classes: Output, scope: &mut Scope ) -> Result<LearnedUnigramCandidateSamplerInst>

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

Trait Implementations

impl Debug for LearnedUnigramCandidateSampler

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

Formats the value using the given formatter.

impl Default for LearnedUnigramCandidateSampler

fn default() -> LearnedUnigramCandidateSampler

Returns the “default value” for a type.