Class SplitDedupData.Inputs

java.lang.Object

org.tensorflow.op.RawOpInputs<SplitDedupData<?,?>>

org.tensorflow.op.tpu.SplitDedupData.Inputs

Enclosing class:

SplitDedupData<T extends TNumber, U extends TNumber>

public static class SplitDedupData.Inputs
extends RawOpInputs<SplitDedupData<?,?>>

Field Summary

Fields

Modifier and Type	Field	Description
final String	config	The config attribute
final DataType	floatType	float_tensor type.
final Operand<? extends TType>	input	An XLA tuple including integer and float elements as deduplication data tuple.
final DataType	integerType	integer_tensor type.
final String	tupleMask	A serialized TensorProto string of output tuple mask.

Constructor Summary

Constructors

Constructor	Description
Inputs(GraphOperation op)

Method Summary

Methods inherited from class RawOpInputs

attributeMetadata, attributeNames, attributes, attributeValue, attributeValues, equals, getOutputs, hashCode, toString

Methods inherited from class Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Field Details

input

public final Operand<? extends TType> input

An XLA tuple including integer and float elements as deduplication data tuple.

integerType

public final DataType integerType

integer_tensor type. Allowed types: int32, int64, uint32, uint64.

floatType

public final DataType floatType

float_tensor type. Allowed types: half, bfloat16, float.

tupleMask

public final String tupleMask

A serialized TensorProto string of output tuple mask. This mask is a 2-D tensor, with first column as tuple element type, and second column as span of this type. For example, an output tuple of (1, 2, 0.1, 3), its mask is [[0, 2], [1, 1], [0, 1]]. We expect only two types of elements: integer(0) and float(1).

config

public final String config

The config attribute

Constructor Details

Inputs

public Inputs(GraphOperation op)