ComputeDedupDataTupleMask

public final class ComputeDedupDataTupleMask

An op computes tuple mask of deduplication data from embedding core.

The deduplication data receiving from embedding core is a Tensor with type=DT_VARIANT. The tensor itself is an XLA nested tuple, whose elements are rank 1 tensors. This op is to represents types and length of these elements.

Public Methods

Output<Integer>	asOutput() Returns the symbolic handle of a tensor.
static ComputeDedupDataTupleMask	create(Scope scope, String config) Factory method to create a class wrapping a new ComputeDedupDataTupleMask operation.
Output<Integer>	outputShape() A 2-D int tensor represent mask of deduplication data tuple generated by `XlaRecvTPUEmbeddingDeduplicationData`.

Inherited Methods

From class org.tensorflow.op.PrimitiveOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Returns the underlying Operation
final String	toString()

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

From interface org.tensorflow.Operand

abstract Output<Integer>

asOutput() Returns the symbolic handle of a tensor.

Public Methods

public Output<Integer> asOutput ()

Returns the symbolic handle of a tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public static ComputeDedupDataTupleMask create (Scope scope, String config)

Factory method to create a class wrapping a new ComputeDedupDataTupleMask operation.

Parameters

scope	current scope
config	Serialized TPUEmbeddingConfiguration proto.

Returns

• a new instance of ComputeDedupDataTupleMask

public Output<Integer> outputShape ()

A 2-D int tensor represent mask of deduplication data tuple generated by `XlaRecvTPUEmbeddingDeduplicationData`. The tuple has several integer and float type 1-D tensor tuple elements. The first dimenion of this output_shape 2-D tensor is tensor type of tuple elements, `0` represents integer tensor, `1` represents float tensor. The second dimension of `output_shape` gives length of each tuple element.