QuantizedRelu6
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Menghitung Linear Terkuantifikasi 6: `min(maks(fitur, 0), 6)`
Konstanta
Rangkaian | OP_NAME | Nama operasi ini dikenal dengan mesin inti TensorFlow |
Metode Warisan
Dari kelas java.lang.Object boolean | sama dengan (Objek arg0) |
Kelas terakhir<?> | dapatkan Kelas () |
ke dalam | Kode hash () |
kekosongan terakhir | memberitahu () |
kekosongan terakhir | beri tahuSemua () |
Rangkaian | keString () |
kekosongan terakhir | tunggu (arg0 panjang, int arg1) |
kekosongan terakhir | tunggu (argumen panjang0) |
kekosongan terakhir | Tunggu () |
Konstanta
String akhir statis publik OP_NAME
Nama operasi ini dikenal dengan mesin inti TensorFlow
Nilai Konstan: "QuantizedRelu6"
Metode Publik
aktivasi Output <U> publik ()
Memiliki bentuk keluaran yang sama dengan "fitur".
Metode pabrik untuk membuat kelas yang membungkus operasi QuantizedRelu6 baru.
Parameter
cakupan | ruang lingkup saat ini |
---|
fitur menit | Nilai mengambang yang diwakili oleh nilai terkuantisasi terendah. |
---|
Fitur maksimal | Nilai mengambang yang diwakili oleh nilai terkuantisasi tertinggi. |
---|
Kembali
- contoh baru dari QuantizedRelu6
Nilai mengambang yang diwakili oleh nilai terkuantisasi tertinggi.
Nilai mengambang yang diwakili oleh nilai terkuantisasi terendah.
Kecuali dinyatakan lain, konten di halaman ini dilisensikan berdasarkan Lisensi Creative Commons Attribution 4.0, sedangkan contoh kode dilisensikan berdasarkan Lisensi Apache 2.0. Untuk mengetahui informasi selengkapnya, lihat Kebijakan Situs Google Developers. Java adalah merek dagang terdaftar dari Oracle dan/atau afiliasinya.
Terakhir diperbarui pada 2025-07-26 UTC.
[null,null,["Terakhir diperbarui pada 2025-07-26 UTC."],[],[],null,["# QuantizedRelu6\n\npublic final class **QuantizedRelu6** \nComputes Quantized Rectified Linear 6: \\`min(max(features, 0), 6)\\` \n\n### Constants\n\n|--------|---------------------------------------------------------------------------|---------------------------------------------------------|\n| String | [OP_NAME](/jvm/api_docs/java/org/tensorflow/op/nn/QuantizedRelu6#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/QuantizedRelu6#activations())() Has the same output shape as \"features\". |\n| static \\\u003cU extends [TType](/jvm/api_docs/java/org/tensorflow/types/family/TType)\\\u003e [QuantizedRelu6](/jvm/api_docs/java/org/tensorflow/op/nn/QuantizedRelu6)\\\u003cU\\\u003e | [create](/jvm/api_docs/java/org/tensorflow/op/nn/QuantizedRelu6#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 QuantizedRelu6 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/QuantizedRelu6#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/QuantizedRelu6#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: \"QuantizedRelu6\"\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 [QuantizedRelu6](/jvm/api_docs/java/org/tensorflow/op/nn/QuantizedRelu6)\\\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 QuantizedRelu6 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 QuantizedRelu6 \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."]]