RequantizationRangePerChannel
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Sabitler
| Sicim | OP_NAME | Bu operasyonun TensorFlow çekirdek motoru tarafından bilinen adı |
Kalıtsal Yöntemler
Java.lang.Object sınıfından | boolean | eşittir (Nesne arg0) |
| son Sınıf<?> | getClass () |
| int | hash kodu () |
| son boşluk | bildir () |
| son boşluk | tümünü bildir () |
| Sicim | toString () |
| son boşluk | bekle (uzun arg0, int arg1) |
| son boşluk | bekle (uzun arg0) |
| son boşluk | Beklemek () |
Sabitler
genel statik son Dize OP_NAME
Bu operasyonun TensorFlow çekirdek motoru tarafından bilinen adı
Sabit Değer: "RequantizationRangePerChannel"
Genel Yöntemler
Yeni bir RequantizationRangePerChannel işlemini saran bir sınıf oluşturmaya yönelik fabrika yöntemi.
Parametreler
| kapsam | mevcut kapsam |
|---|
| giriş | Orijinal giriş tensörü. |
|---|
| girişMin | Giriş tensörünün minimum değeri |
|---|
| girişMaksimum | Giriş tensörünün maksimum değeri. |
|---|
| klipValueMax | Kırpılması gereken çıktının maksimum değeri. Örnek: Relu6 için bunu 6'ya ayarlayın. |
|---|
İadeler
- RequantizationRangePerChannel'ın yeni bir örneği
Nihai çıkış tensörünün maksimum değeri.
Nihai çıkış tensörünün minimum değeri
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Son güncelleme tarihi: 2025-07-26 UTC.
[null,null,["Son güncelleme tarihi: 2025-07-26 UTC."],[],[],null,["# RequantizationRangePerChannel\n\npublic final class **RequantizationRangePerChannel** \nComputes requantization range per channel. \n\n### Constants\n\n|--------|--------------------------------------------------------------------------------------------|---------------------------------------------------------|\n| String | [OP_NAME](/jvm/api_docs/java/org/tensorflow/op/math/RequantizationRangePerChannel#OP_NAME) | The name of this op, as known by TensorFlow core engine |\n\n### Public Methods\n\n|--------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| static [RequantizationRangePerChannel](/jvm/api_docs/java/org/tensorflow/op/math/RequantizationRangePerChannel) | [create](/jvm/api_docs/java/org/tensorflow/op/math/RequantizationRangePerChannel#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, java.lang.Float))([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, Float clipValueMax) Factory method to create a class wrapping a new RequantizationRangePerChannel 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/math/RequantizationRangePerChannel#outputMax())() The maximum value of the final output tensor. |\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/math/RequantizationRangePerChannel#outputMin())() The minimum value of the final output tensor |\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: \"RequantizationRangePerChannel\"\n\nPublic Methods\n--------------\n\n#### public static [RequantizationRangePerChannel](/jvm/api_docs/java/org/tensorflow/op/math/RequantizationRangePerChannel)\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, Float clipValueMax)\n\nFactory method to create a class wrapping a new RequantizationRangePerChannel operation. \n\n##### Parameters\n\n| scope | current scope |\n| input | The original input tensor. |\n| inputMin | The minimum value of the input tensor |\n| inputMax | The maximum value of the input tensor. |\n| clipValueMax | The maximum value of the output that needs to be clipped. Example: set this to 6 for Relu6. |\n|--------------|---------------------------------------------------------------------------------------------|\n\n##### Returns\n\n- a new instance of RequantizationRangePerChannel \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 maximum value of the final output tensor. \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 minimum value of the final output tensor"]]
