RequantizationRange
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Simpan dan kategorikan konten berdasarkan preferensi Anda.
Menghitung rentang yang mencakup nilai aktual yang ada dalam tensor terkuantisasi.
Mengingat tensor terkuantisasi yang dijelaskan oleh `(input, input_min, input_max)`, menghasilkan rentang yang mencakup nilai aktual yang ada dalam tensor tersebut. Operasi ini biasanya digunakan untuk menghasilkan `requested_output_min` dan `requested_output_max` untuk `Requantize`.
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: "RequantizationRange"
Metode Publik
Metode pabrik untuk membuat kelas yang membungkus operasi RequantizationRange baru.
Parameter
| cakupan | ruang lingkup saat ini |
|---|
| masukanMin | Nilai float yang diwakili oleh nilai masukan terkuantisasi minimum. |
|---|
| masukanMaks | Nilai float yang diwakili oleh nilai masukan terkuantisasi maksimum. |
|---|
Kembali
- contoh baru dari RequantizationRange
output maksimal yang dihitung.
Output min yang dihitung.
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,["# 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."]]
