QuantizedRelu
Stay organized with collections
Save and categorize content based on your preferences.
Computes Quantized Rectified Linear: `max(features, 0)`
Constants
String |
OP_NAME |
The name of this op, as known by TensorFlow core engine |
Inherited Methods
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()
|
Constants
public
static
final
String
OP_NAME
The name of this op, as known by TensorFlow core engine
Constant Value:
"QuantizedRelu"
Public Methods
public
Output<U>
activations
()
Has the same output shape as "features".
Factory method to create a class wrapping a new QuantizedRelu operation.
Parameters
scope |
current scope |
minFeatures |
The float value that the lowest quantized value represents. |
maxFeatures |
The float value that the highest quantized value represents. |
Returns
- a new instance of QuantizedRelu
The float value that the highest quantized value represents.
The float value that the lowest quantized value represents.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2021-11-29 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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2021-11-29 UTC."],[],[],null,["# QuantizedRelu\n\npublic final class **QuantizedRelu** \nComputes Quantized Rectified Linear: \\`max(features, 0)\\` \n\n### Constants\n\n|--------|--------------------------------------------------------------------------|---------------------------------------------------------|\n| String | [OP_NAME](/jvm/api_docs/java/org/tensorflow/op/nn/QuantizedRelu#OP_NAME) | The name of this op, as known by TensorFlow core engine |\n\n### Public Methods\n\n|----------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cU\\\u003e | [activations](/jvm/api_docs/java/org/tensorflow/op/nn/QuantizedRelu#activations())() Has the same output shape as \"features\". |\n| static \\\u003cU extends [TType](/jvm/api_docs/java/org/tensorflow/types/family/TType)\\\u003e [QuantizedRelu](/jvm/api_docs/java/org/tensorflow/op/nn/QuantizedRelu)\\\u003cU\\\u003e | [create](/jvm/api_docs/java/org/tensorflow/op/nn/QuantizedRelu#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.Class\u003cU\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 features, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TFloat32](/jvm/api_docs/java/org/tensorflow/types/TFloat32)\\\u003e minFeatures, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TFloat32](/jvm/api_docs/java/org/tensorflow/types/TFloat32)\\\u003e maxFeatures, Class\\\u003cU\\\u003e outType) Factory method to create a class wrapping a new QuantizedRelu operation. |\n| [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003c[TFloat32](/jvm/api_docs/java/org/tensorflow/types/TFloat32)\\\u003e | [maxActivations](/jvm/api_docs/java/org/tensorflow/op/nn/QuantizedRelu#maxActivations())() The float value that the highest quantized value represents. |\n| [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003c[TFloat32](/jvm/api_docs/java/org/tensorflow/types/TFloat32)\\\u003e | [minActivations](/jvm/api_docs/java/org/tensorflow/op/nn/QuantizedRelu#minActivations())() The float value that the lowest quantized value represents. |\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: \"QuantizedRelu\"\n\nPublic Methods\n--------------\n\n#### public [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cU\\\u003e\n**activations**\n()\n\nHas the same output shape as \"features\". \n\n#### public static [QuantizedRelu](/jvm/api_docs/java/org/tensorflow/op/nn/QuantizedRelu)\\\u003cU\\\u003e\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 features, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TFloat32](/jvm/api_docs/java/org/tensorflow/types/TFloat32)\\\u003e minFeatures, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TFloat32](/jvm/api_docs/java/org/tensorflow/types/TFloat32)\\\u003e maxFeatures, Class\\\u003cU\\\u003e outType)\n\nFactory method to create a class wrapping a new QuantizedRelu operation. \n\n##### Parameters\n\n| scope | current scope |\n| minFeatures | The float value that the lowest quantized value represents. |\n| maxFeatures | The float value that the highest quantized value represents. |\n|-------------|--------------------------------------------------------------|\n\n##### Returns\n\n- a new instance of QuantizedRelu \n\n#### public [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003c[TFloat32](/jvm/api_docs/java/org/tensorflow/types/TFloat32)\\\u003e\n**maxActivations**\n()\n\nThe float value that the highest quantized value represents. \n\n#### public [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003c[TFloat32](/jvm/api_docs/java/org/tensorflow/types/TFloat32)\\\u003e\n**minActivations**\n()\n\nThe float value that the lowest quantized value represents."]]