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tensor akışı:: işlem:: NicelenmişÖrnekNormu
#include <array_ops.h>
Nicelenmiş Örnek normalizasyonu.
Özet
Argümanlar:
- kapsam: Bir Kapsam nesnesi
- x: Bir 4D giriş Tensörü .
- x_min: En düşük nicelenmiş giriş tarafından temsil edilen değer.
- x_max: En yüksek nicelenmiş giriş tarafından temsil edilen değer.
İsteğe bağlı özellikler (bkz. Attrs
):
- çıktı_aralığı_given: Doğruysa, çıkış aralığı olarak
given_y_min
ve given_y_min
ve given_y_max
kullanılır. Aksi takdirde uygulama çıkış aralığını hesaplar. - Given_y_min:
output_range_given
True ise y_min
cinsinden çıktı . - Given_y_max:
output_range_given
True ise y_max
cinsinden çıktı . - variance_epsilon: 0'a bölünmeyi önlemek için küçük bir kayan sayı.
- min_separation:
y_max - y_min
minimum değeri
İade:
-
Output
y: Bir 4D Tensör . -
Output
y_min: En düşük nicelenmiş çıkışla temsil edilen değer. -
Output
y_max: En yüksek nicelenmiş çıkışla temsil edilen değer.
Genel özellikler
Kamu işlevleri
Genel statik işlevler
VerilenYMaks
Attrs GivenYMax(
float x
)
VerilenYMin
Attrs GivenYMin(
float x
)
MinimumAyırma
Attrs MinSeparation(
float x
)
Çıktı AralığıVerilen
Attrs OutputRangeGiven(
bool x
)
VaryansEpsilon
Attrs VarianceEpsilon(
float x
)
Aksi belirtilmediği sürece bu sayfanın içeriği Creative Commons Atıf 4.0 Lisansı altında ve kod örnekleri Apache 2.0 Lisansı altında lisanslanmıştır. Ayrıntılı bilgi için Google Developers Site Politikaları'na göz atın. Java, Oracle ve/veya satış ortaklarının tescilli ticari markasıdır.
Son güncelleme tarihi: 2025-07-25 UTC.
[null,null,["Son güncelleme tarihi: 2025-07-25 UTC."],[],[],null,["# tensorflow::ops::QuantizedInstanceNorm Class Reference\n\ntensorflow::ops::QuantizedInstanceNorm\n======================================\n\n`#include \u003carray_ops.h\u003e`\n\nQuantized Instance normalization.\n\nSummary\n-------\n\nArguments:\n\n- scope: A [Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- x: A 4D input [Tensor](/versions/r1.15/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor).\n- x_min: The value represented by the lowest quantized input.\n- x_max: The value represented by the highest quantized input.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/quantized-instance-norm/attrs#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs)):\n\n- output_range_given: If True, `given_y_min` and `given_y_min` and `given_y_max` are used as the output range. Otherwise, the implementation computes the output range.\n- given_y_min: [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) in `y_min` if `output_range_given` is True.\n- given_y_max: [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) in `y_max` if `output_range_given` is True.\n- variance_epsilon: A small float number to avoid dividing by 0.\n- min_separation: [Minimum](/versions/r1.15/api_docs/cc/class/tensorflow/ops/minimum#classtensorflow_1_1ops_1_1_minimum) value of `y_max - y_min`\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) y: A 4D [Tensor](/versions/r1.15/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor).\n- [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) y_min: The value represented by the lowest quantized output.\n- [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) y_max: The value represented by the highest quantized output.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [QuantizedInstanceNorm](#classtensorflow_1_1ops_1_1_quantized_instance_norm_1a66f14d43d5a9459d866db037f7bb4906)`(const ::`[tensorflow::Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` x, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` x_min, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` x_max)` ||\n| [QuantizedInstanceNorm](#classtensorflow_1_1ops_1_1_quantized_instance_norm_1ac70831b63384f7e34a878a00fccc1b5e)`(const ::`[tensorflow::Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` x, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` x_min, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` x_max, const `[QuantizedInstanceNorm::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/quantized-instance-norm/attrs#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|-----------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_quantized_instance_norm_1a9c16e83b751d6d10a6bca12d0abb615f) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [y](#classtensorflow_1_1ops_1_1_quantized_instance_norm_1ad70ba4eba105fb7eae8362df8a2cfccd) | `::`[tensorflow::Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [y_max](#classtensorflow_1_1ops_1_1_quantized_instance_norm_1a9ecfdc7d60f12b5439992b5e0e9d70bf) | `::`[tensorflow::Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [y_min](#classtensorflow_1_1ops_1_1_quantized_instance_norm_1a4e52b8d2fb01146563d0679d4b72dcb7) | `::`[tensorflow::Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public static functions ||\n|----------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [GivenYMax](#classtensorflow_1_1ops_1_1_quantized_instance_norm_1ab8f1ad838d1814616fbd34a0c34cfc00)`(float x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/quantized-instance-norm/attrs#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs) |\n| [GivenYMin](#classtensorflow_1_1ops_1_1_quantized_instance_norm_1a59f4f357b2be2e533c5e60801d978170)`(float x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/quantized-instance-norm/attrs#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs) |\n| [MinSeparation](#classtensorflow_1_1ops_1_1_quantized_instance_norm_1a971e6b0a27bdc399ed7e5d9837dcbe39)`(float x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/quantized-instance-norm/attrs#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs) |\n| [OutputRangeGiven](#classtensorflow_1_1ops_1_1_quantized_instance_norm_1a8b157c23eb87cca9013c02ae6cadb1a6)`(bool x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/quantized-instance-norm/attrs#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs) |\n| [VarianceEpsilon](#classtensorflow_1_1ops_1_1_quantized_instance_norm_1ad19d246905b047dfa2a65bd7bb7fd601)`(float x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/quantized-instance-norm/attrs#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs) |\n\n| ### Structs ||\n|----------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::QuantizedInstanceNorm::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/quantized-instance-norm/attrs) | Optional attribute setters for [QuantizedInstanceNorm](/versions/r1.15/api_docs/cc/class/tensorflow/ops/quantized-instance-norm#classtensorflow_1_1ops_1_1_quantized_instance_norm). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### y\n\n```text\n::tensorflow::Output y\n``` \n\n### y_max\n\n```scdoc\n::tensorflow::Output y_max\n``` \n\n### y_min\n\n```scdoc\n::tensorflow::Output y_min\n``` \n\nPublic functions\n----------------\n\n### QuantizedInstanceNorm\n\n```gdscript\n QuantizedInstanceNorm(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input x,\n ::tensorflow::Input x_min,\n ::tensorflow::Input x_max\n)\n``` \n\n### QuantizedInstanceNorm\n\n```gdscript\n QuantizedInstanceNorm(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input x,\n ::tensorflow::Input x_min,\n ::tensorflow::Input x_max,\n const QuantizedInstanceNorm::Attrs & attrs\n)\n``` \n\nPublic static functions\n-----------------------\n\n### GivenYMax\n\n```text\nAttrs GivenYMax(\n float x\n)\n``` \n\n### GivenYMin\n\n```text\nAttrs GivenYMin(\n float x\n)\n``` \n\n### MinSeparation\n\n```text\nAttrs MinSeparation(\n float x\n)\n``` \n\n### OutputRangeGiven\n\n```text\nAttrs OutputRangeGiven(\n bool x\n)\n``` \n\n### VarianceEpsilon\n\n```text\nAttrs VarianceEpsilon(\n float x\n)\n```"]]