Warning: This API is deprecated and will be removed in a future
version of TensorFlow after
the replacement is stable.
SplitDedupData
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An op splits input deduplication data XLA tuple into integer and floating point
tensors.
Deduplication data is an XLA tuple, which consists of integer and floating point
values. This op is to split these values into two groups for two types, and
construct each group as one tensor to return.
Inherited Methods
From class
java.lang.Object
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boolean
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equals(Object arg0)
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final
Class<?>
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getClass()
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int
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hashCode()
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final
void
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notify()
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final
void
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notifyAll()
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String
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toString()
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final
void
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wait(long arg0, int arg1)
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final
void
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wait(long arg0)
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final
void
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wait()
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Public Methods
Factory method to create a class wrapping a new SplitDedupData operation.
Parameters
| scope |
current scope |
| input |
An XLA tuple including integer and float elements as deduplication data tuple. |
| integerType |
integer_tensor type. Allowed types: int32, int64, uint32, uint64. |
| floatType |
float_tensor type. Allowed types: half, bfloat16, float. |
| 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). |
| options |
carries optional attributes values |
Returns
- a new instance of SplitDedupData
public
Output<U>
floatTensor
()
A 1-D float tensor, includes float elements of deduplication data tuple.
public
Output<T>
integerTensor
()
A 1-D integer tensor, includes integer elements of deduplication data tuple.
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Last updated 2023-03-23 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-03-23 UTC."],[],[],null,["# SplitDedupData\n\npublic final class **SplitDedupData** \nAn op splits input deduplication data XLA tuple into integer and floating point\ntensors.\n\n\nDeduplication data is an XLA tuple, which consists of integer and floating point\nvalues. This op is to split these values into two groups for two types, and\nconstruct each group as one tensor to return.\n\n\u003cbr /\u003e\n\n### Nested Classes\n\n|-------|---|---|------------------------------------------------------------------------------------------------|\n| class | [SplitDedupData.Options](/api_docs/java/org/tensorflow/op/core/SplitDedupData.Options) || Optional attributes for [SplitDedupData](/api_docs/java/org/tensorflow/op/core/SplitDedupData) |\n\n### Public Methods\n\n|------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| static [SplitDedupData.Options](/api_docs/java/org/tensorflow/op/core/SplitDedupData.Options) | [config](/api_docs/java/org/tensorflow/op/core/SplitDedupData#config(java.lang.String))(String config) |\n| static \\\u003cT extends Number, U extends Number\\\u003e [SplitDedupData](/api_docs/java/org/tensorflow/op/core/SplitDedupData)\\\u003cT, U\\\u003e | [create](/api_docs/java/org/tensorflow/op/core/SplitDedupData#create(org.tensorflow.op.Scope,%20org.tensorflow.Operand\u003c?\u003e,%20java.lang.Class\u003cT\u003e,%20java.lang.Class\u003cU\u003e,%20java.lang.String,%20org.tensorflow.op.core.SplitDedupData.Options...))([Scope](/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003c?\\\u003e input, Class\\\u003cT\\\u003e integerType, Class\\\u003cU\\\u003e floatType, String tupleMask, [Options...](/api_docs/java/org/tensorflow/op/core/SplitDedupData.Options) options) Factory method to create a class wrapping a new SplitDedupData operation. |\n| [Output](/api_docs/java/org/tensorflow/Output)\\\u003cU\\\u003e | [floatTensor](/api_docs/java/org/tensorflow/op/core/SplitDedupData#floatTensor())() A 1-D float tensor, includes float elements of deduplication data tuple. |\n| [Output](/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e | [integerTensor](/api_docs/java/org/tensorflow/op/core/SplitDedupData#integerTensor())() A 1-D integer tensor, includes integer elements of deduplication data tuple. |\n\n### Inherited Methods\n\nFrom class [org.tensorflow.op.PrimitiveOp](/api_docs/java/org/tensorflow/op/PrimitiveOp) \n\n|------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------|\n| final boolean | [equals](/api_docs/java/org/tensorflow/op/PrimitiveOp#equals(java.lang.Object))(Object obj) |\n| final int | [hashCode](/api_docs/java/org/tensorflow/op/PrimitiveOp#hashCode())() |\n| [Operation](/api_docs/java/org/tensorflow/Operation) | [op](/api_docs/java/org/tensorflow/op/PrimitiveOp#op())() Returns the underlying [Operation](/api_docs/java/org/tensorflow/Operation) |\n| final String | [toString](/api_docs/java/org/tensorflow/op/PrimitiveOp#toString())() |\n\nFrom class java.lang.Object \n\n|------------------|---------------------------|\n| boolean | equals(Object arg0) |\n| final Class\\\u003c?\\\u003e | getClass() |\n| int | hashCode() |\n| final void | notify() |\n| final void | notifyAll() |\n| String | toString() |\n| final void | wait(long arg0, int arg1) |\n| final void | wait(long arg0) |\n| final void | wait() |\n\nPublic Methods\n--------------\n\n#### public static [SplitDedupData.Options](/api_docs/java/org/tensorflow/op/core/SplitDedupData.Options)\n**config**\n(String config)\n\n\u003cbr /\u003e\n\n#### public static [SplitDedupData](/api_docs/java/org/tensorflow/op/core/SplitDedupData)\\\u003cT, U\\\u003e\n**create**\n([Scope](/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003c?\\\u003e input, Class\\\u003cT\\\u003e integerType, Class\\\u003cU\\\u003e floatType, String tupleMask, [Options...](/api_docs/java/org/tensorflow/op/core/SplitDedupData.Options) options)\n\nFactory method to create a class wrapping a new SplitDedupData operation. \n\n##### Parameters\n\n| scope | current scope |\n| input | An XLA tuple including integer and float elements as deduplication data tuple. |\n| integerType | integer_tensor type. Allowed types: int32, int64, uint32, uint64. |\n| floatType | float_tensor type. Allowed types: half, bfloat16, float. |\n| 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). |\n| options | carries optional attributes values |\n|-------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n\n##### Returns\n\n- a new instance of SplitDedupData \n\n#### public [Output](/api_docs/java/org/tensorflow/Output)\\\u003cU\\\u003e\n**floatTensor**\n()\n\nA 1-D float tensor, includes float elements of deduplication data tuple. \n\n#### public [Output](/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e\n**integerTensor**\n()\n\nA 1-D integer tensor, includes integer elements of deduplication data tuple."]]
