Struct tensorflow::eager::raw_ops::UniformCandidateSampler

pub struct UniformCandidateSampler { /* private fields */ }

UniformCandidateSampler

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

Implementations

impl UniformCandidateSampler

pub fn new() -> Self

Creates a new UniformCandidateSampler.

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 uniform_candidate_sampler.

Trait Implementations

impl Clone for UniformCandidateSampler

fn clone(&self) -> UniformCandidateSampler

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for UniformCandidateSampler

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

Formats the value using the given formatter.

impl Default for UniformCandidateSampler

fn default() -> Self

Returns the “default value” for a type.