Struct tensorflow::eager::raw_ops::LearnedUnigramCandidateSampler

pub struct LearnedUnigramCandidateSampler { /* private fields */ }

LearnedUnigramCandidateSampler

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

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

Sets the `` attribute.

pub fn call<'a, T0: ToTensorHandle<'a>>( &self, ctx: &'a Context, true_classes: &T0 ) -> Result<[TensorHandle<'a>; 3]>

Execute learned_unigram_candidate_sampler.

Trait Implementations

impl Clone for LearnedUnigramCandidateSampler

fn clone(&self) -> LearnedUnigramCandidateSampler

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for LearnedUnigramCandidateSampler

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

Formats the value using the given formatter.

impl Default for LearnedUnigramCandidateSampler

fn default() -> Self

Returns the “default value” for a type.