Struct tensorflow::eager::raw_ops::LoadTPUEmbeddingStochasticGradientDescentParameters

pub struct LoadTPUEmbeddingStochasticGradientDescentParameters { /* private fields */ }

LoadTPUEmbeddingStochasticGradientDescentParameters

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

Implementations

impl LoadTPUEmbeddingStochasticGradientDescentParameters

pub fn new() -> Self

Creates a new LoadTPUEmbeddingStochasticGradientDescentParameters.

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

Sets the table_id attribute.

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

Sets the table_name attribute.

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

Sets the num_shards attribute.

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

Sets the shard_id attribute.

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

Sets the config 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, parameters: &T0 ) -> Result<()>

Execute load_tpuembedding_stochastic_gradient_descent_parameters.

Trait Implementations

impl Clone for LoadTPUEmbeddingStochasticGradientDescentParameters

fn clone(&self) -> LoadTPUEmbeddingStochasticGradientDescentParameters

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for LoadTPUEmbeddingStochasticGradientDescentParameters

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

Formats the value using the given formatter.

impl Default for LoadTPUEmbeddingStochasticGradientDescentParameters

fn default() -> Self

Returns the “default value” for a type.