Struct tensorflow::eager::raw_ops::EnqueueTPUEmbeddingSparseTensorBatch

pub struct EnqueueTPUEmbeddingSparseTensorBatch { /* private fields */ }

EnqueueTPUEmbeddingSparseTensorBatch

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

Implementations

impl EnqueueTPUEmbeddingSparseTensorBatch

pub fn new() -> Self

Creates a new EnqueueTPUEmbeddingSparseTensorBatch.

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

Sets the device_ordinal attribute.

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

Sets the combiners attribute.

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

Sets the table_ids attribute.

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

Sets the max_sequence_lengths attribute.

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

Sets the num_features attribute.

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, sample_indices: &[&T0], embedding_indices: &[&T1], aggregation_weights: &[&T2], mode_override: &T3 ) -> Result<()>

Execute enqueue_tpuembedding_sparse_tensor_batch.

Trait Implementations

impl Clone for EnqueueTPUEmbeddingSparseTensorBatch

fn clone(&self) -> EnqueueTPUEmbeddingSparseTensorBatch

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for EnqueueTPUEmbeddingSparseTensorBatch

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

Formats the value using the given formatter.

impl Default for EnqueueTPUEmbeddingSparseTensorBatch

fn default() -> Self

Returns the “default value” for a type.