RequantizationRange
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Calcola un intervallo che copre i valori effettivi presenti in un tensore quantizzato.
Dato un tensore quantizzato descritto da "(input, input_min, input_max)", restituisce un intervallo che copre i valori effettivi presenti in quel tensore. Questa operazione viene generalmente utilizzata per produrre "requested_output_min" e "requested_output_max" per "Requantize".
Costanti
| Corda | OP_NAME | Il nome di questa operazione, come noto al motore principale di TensorFlow |
Metodi ereditati
Dalla classe java.lang.Object | booleano | è uguale a (Oggetto arg0) |
| Classe finale<?> | getClass () |
| int | codice hash () |
| vuoto finale | notificare () |
| vuoto finale | notificaTutti () |
| Corda | accordare () |
| vuoto finale | attendere (lungo arg0, int arg1) |
| vuoto finale | aspetta (lungo arg0) |
| vuoto finale | Aspettare () |
Costanti
Stringa finale statica pubblica OP_NAME
Il nome di questa operazione, come noto al motore principale di TensorFlow
Valore costante: "RequantizationRange"
Metodi pubblici
Metodo factory per creare una classe che racchiude una nuova operazione RequantizationRange.
Parametri
| scopo | ambito attuale |
|---|
| ingressoMin | Il valore float rappresentato dal valore di input quantizzato minimo. |
|---|
| ingressoMax | Il valore float che rappresenta il valore di input quantizzato massimo. |
|---|
ritorna
- una nuova istanza di RequantizationRange
l'output massimo calcolato.
L'output minimo calcolato.
Salvo quando diversamente specificato, i contenuti di questa pagina sono concessi in base alla licenza Creative Commons Attribution 4.0, mentre gli esempi di codice sono concessi in base alla licenza Apache 2.0. Per ulteriori dettagli, consulta le norme del sito di Google Developers. Java è un marchio registrato di Oracle e/o delle sue consociate.
Ultimo aggiornamento 2025-07-26 UTC.
[null,null,["Ultimo aggiornamento 2025-07-26 UTC."],[],[],null,["# RequantizationRange\n\npublic final class **RequantizationRange** \nComputes a range that covers the actual values present in a quantized tensor.\n\n\nGiven a quantized tensor described by \\`(input, input_min, input_max)\\`, outputs a\nrange that covers the actual values present in that tensor. This op is typically\nused to produce the \\`requested_output_min\\` and \\`requested_output_max\\` for\n\\`Requantize\\`.\n\n\u003cbr /\u003e\n\n### Constants\n\n|--------|------------------------------------------------------------------------------------------|---------------------------------------------------------|\n| String | [OP_NAME](/jvm/api_docs/java/org/tensorflow/op/quantization/RequantizationRange#OP_NAME) | The name of this op, as known by TensorFlow core engine |\n\n### Public Methods\n\n|--------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| static [RequantizationRange](/jvm/api_docs/java/org/tensorflow/op/quantization/RequantizationRange) | [create](/jvm/api_docs/java/org/tensorflow/op/quantization/RequantizationRange#create(org.tensorflow.op.Scope, org.tensorflow.Operand\u003c? extends org.tensorflow.types.family.TType\u003e, org.tensorflow.Operand\u003corg.tensorflow.types.TFloat32\u003e, org.tensorflow.Operand\u003corg.tensorflow.types.TFloat32\u003e))([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c? extends [TType](/jvm/api_docs/java/org/tensorflow/types/family/TType)\\\u003e input, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TFloat32](/jvm/api_docs/java/org/tensorflow/types/TFloat32)\\\u003e inputMin, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TFloat32](/jvm/api_docs/java/org/tensorflow/types/TFloat32)\\\u003e inputMax) Factory method to create a class wrapping a new RequantizationRange operation. |\n| [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003c[TFloat32](/jvm/api_docs/java/org/tensorflow/types/TFloat32)\\\u003e | [outputMax](/jvm/api_docs/java/org/tensorflow/op/quantization/RequantizationRange#outputMax())() the computed max output. |\n| [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003c[TFloat32](/jvm/api_docs/java/org/tensorflow/types/TFloat32)\\\u003e | [outputMin](/jvm/api_docs/java/org/tensorflow/op/quantization/RequantizationRange#outputMin())() The computed min output. |\n\n### Inherited Methods\n\nFrom class [org.tensorflow.op.RawOp](/jvm/api_docs/java/org/tensorflow/op/RawOp) \n\n|----------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| final boolean | [equals](/jvm/api_docs/java/org/tensorflow/op/RawOp#equals(java.lang.Object))(Object obj) |\n| final int | [hashCode](/jvm/api_docs/java/org/tensorflow/op/RawOp#hashCode())() |\n| [Operation](/jvm/api_docs/java/org/tensorflow/Operation) | [op](/jvm/api_docs/java/org/tensorflow/op/RawOp#op())() Return this unit of computation as a single [Operation](/jvm/api_docs/java/org/tensorflow/Operation). |\n| final String | [toString](/jvm/api_docs/java/org/tensorflow/op/RawOp#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\nFrom interface [org.tensorflow.op.Op](/jvm/api_docs/java/org/tensorflow/op/Op) \n\n|-----------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| abstract [ExecutionEnvironment](/jvm/api_docs/java/org/tensorflow/ExecutionEnvironment) | [env](/jvm/api_docs/java/org/tensorflow/op/Op#env())() Return the execution environment this op was created in. |\n| abstract [Operation](/jvm/api_docs/java/org/tensorflow/Operation) | [op](/jvm/api_docs/java/org/tensorflow/op/Op#op())() Return this unit of computation as a single [Operation](/jvm/api_docs/java/org/tensorflow/Operation). |\n\nConstants\n---------\n\n#### public static final String\n**OP_NAME**\n\nThe name of this op, as known by TensorFlow core engine \nConstant Value: \"RequantizationRange\"\n\nPublic Methods\n--------------\n\n#### public static [RequantizationRange](/jvm/api_docs/java/org/tensorflow/op/quantization/RequantizationRange)\n**create**\n([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c? extends [TType](/jvm/api_docs/java/org/tensorflow/types/family/TType)\\\u003e input, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TFloat32](/jvm/api_docs/java/org/tensorflow/types/TFloat32)\\\u003e inputMin, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TFloat32](/jvm/api_docs/java/org/tensorflow/types/TFloat32)\\\u003e inputMax)\n\nFactory method to create a class wrapping a new RequantizationRange operation. \n\n##### Parameters\n\n| scope | current scope |\n| inputMin | The float value that the minimum quantized input value represents. |\n| inputMax | The float value that the maximum quantized input value represents. |\n|----------|--------------------------------------------------------------------|\n\n##### Returns\n\n- a new instance of RequantizationRange \n\n#### public [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003c[TFloat32](/jvm/api_docs/java/org/tensorflow/types/TFloat32)\\\u003e\n**outputMax**\n()\n\nthe computed max output. \n\n#### public [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003c[TFloat32](/jvm/api_docs/java/org/tensorflow/types/TFloat32)\\\u003e\n**outputMin**\n()\n\nThe computed min output."]]
