tensorflow:: אופס:: FakeQuantWithMinMaxArgs
#include <array_ops.h>
בצע התאמה מזויפת של טנסור 'כניסות', הקלד float לטנסור 'פלטים' מאותו סוג.
תַקצִיר
תכונות [min; max]
מגדירים את טווח ההידוק עבור נתוני inputs
. ערכי inputs
מקוונטים לטווח הכימות ( [0; 2^num_bits - 1]
כאשר narrow_range
הוא false ו- [1; 2^num_bits - 1]
כאשר הוא נכון) ולאחר מכן דה-קוונטיזציה ומוצאת כצף ב- [min; max]
מרווח. num_bits
הוא רוחב הסיביות של הקוונטיזציה; בין 2 ל-16, כולל.
לפני הקוונטיזציה, ערכי min
max
מותאמים לפי ההיגיון הבא. מומלץ לקבל min <= 0 <= max
. אם 0
אינו בטווח הערכים, ההתנהגות יכולה להיות בלתי צפויה: אם 0 < min < max
: min_adj = 0
ו max_adj = max - min
. אם min < max < 0
: min_adj = min - max
ו max_adj = 0
. אם min <= 0 <= max
: scale = (max - min) / (2^num_bits - 1)
, min_adj = scale * round(min / scale)
and max_adj = max + min_adj - min
.
קוונטיזציה נקראת מזויף מכיוון שהפלט עדיין בנקודה צפה.
טיעונים:
החזרות:
תכונות ציבוריות
מִבצָע
Operation operation
תפוקות
::tensorflow::Output outputs
תפקידים ציבוריים
FakeQuantWithMinMaxArgs
FakeQuantWithMinMaxArgs(
const ::tensorflow::Scope & scope,
::tensorflow::Input inputs
)
FakeQuantWithMinMaxArgs
FakeQuantWithMinMaxArgs(
const ::tensorflow::Scope & scope,
::tensorflow::Input inputs,
const FakeQuantWithMinMaxArgs::Attrs & attrs
)
צוֹמֶת
::tensorflow::Node * node() const
operator::tensorflow::Input() const
אופרטור::tensorflow::פלט
operator::tensorflow::Output() const
פונקציות סטטיות ציבוריות
מקסימום
Attrs Max(
float x
)
מינימום
Attrs Min(
float x
)
טווח צר
Attrs NarrowRange(
bool x
)
NumBits
Attrs NumBits(
int64 x
)
אלא אם צוין אחרת, התוכן של דף זה הוא ברישיון Creative Commons Attribution 4.0 ודוגמאות הקוד הן ברישיון Apache 2.0. לפרטים, ניתן לעיין במדיניות האתר Google Developers. Java הוא סימן מסחרי רשום של חברת Oracle ו/או של השותפים העצמאיים שלה.
עדכון אחרון: 2025-07-25 (שעון UTC).
[null,null,["עדכון אחרון: 2025-07-25 (שעון UTC)."],[],[],null,["# tensorflow::ops::FakeQuantWithMinMaxArgs Class Reference\n\ntensorflow::ops::FakeQuantWithMinMaxArgs\n========================================\n\n`#include \u003carray_ops.h\u003e`\n\nFake-quantize the 'inputs' tensor, type float to 'outputs' tensor of same type.\n\nSummary\n-------\n\nAttributes `[min; max]` define the clamping range for the `inputs` data. `inputs` values are quantized into the quantization range (`[0; 2^num_bits - 1]` when `narrow_range` is false and `[1; 2^num_bits - 1]` when it is true) and then de-quantized and output as floats in `[min; max]` interval. `num_bits` is the bitwidth of the quantization; between 2 and 16, inclusive.\n\nBefore quantization, `min` and `max` values are adjusted with the following logic. It is suggested to have `min \u003c= 0 \u003c= max`. If `0` is not in the range of values, the behavior can be unexpected: If `0 \u003c min \u003c max`: `min_adj = 0` and `max_adj = max - min`. If `min \u003c max \u003c 0`: `min_adj = min - max` and `max_adj = 0`. If `min \u003c= 0 \u003c= max`: `scale = (max - min) / (2^num_bits - 1)`, `min_adj = scale * round(min / scale)` and `max_adj = max + min_adj - min`.\n\nQuantization is called fake since the output is still in floating point.\n\nArguments:\n\n- scope: A [Scope](/versions/r2.1/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.1/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The outputs tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [FakeQuantWithMinMaxArgs](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_1a85e03d1dc3cd4bc32cd221b7b9cf6d9a)`(const ::`[tensorflow::Scope](/versions/r2.1/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` inputs)` ||\n| [FakeQuantWithMinMaxArgs](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_1a5a50c94e0d72103df198cd3f00bed13d)`(const ::`[tensorflow::Scope](/versions/r2.1/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` inputs, const `[FakeQuantWithMinMaxArgs::Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/fake-quant-with-min-max-args/attrs#structtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|----------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_1a74ebb70c787d9ab49c7e4f6a25a1caba) | [Operation](/versions/r2.1/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [outputs](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_1a9f9cb032ade7705f0b4a03b0ab94cb0c) | `::`[tensorflow::Output](/versions/r2.1/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|----------------------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_1adf0a81f8d2e49f0bf4eb5859fac39168)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_1a51cf8e44b3b26ce30a5016a440b99c69)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_1a614548643c093eefd86990ce72baece3)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|----------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [Max](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_1a5e82983f6429be0078510aea65c1593b)`(float x)` | [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/fake-quant-with-min-max-args/attrs#structtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_1_1_attrs) |\n| [Min](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_1a3fd5bd826632651830791d26c59fb56f)`(float x)` | [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/fake-quant-with-min-max-args/attrs#structtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_1_1_attrs) |\n| [NarrowRange](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_1a9af5fd9211a71acf844cf8d911fde2ac)`(bool x)` | [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/fake-quant-with-min-max-args/attrs#structtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_1_1_attrs) |\n| [NumBits](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_1a80f557e9c790845a7e5c910bae0ef5fd)`(int64 x)` | [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/fake-quant-with-min-max-args/attrs#structtensorflow_1_1ops_1_1_fake_quant_with_min_max_args_1_1_attrs) |\n\n| ### Structs ||\n|----------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::FakeQuantWithMinMaxArgs::Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/fake-quant-with-min-max-args/attrs) | Optional attribute setters for [FakeQuantWithMinMaxArgs](/versions/r2.1/api_docs/cc/class/tensorflow/ops/fake-quant-with-min-max-args#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_args). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### outputs\n\n```text\n::tensorflow::Output outputs\n``` \n\nPublic functions\n----------------\n\n### FakeQuantWithMinMaxArgs\n\n```gdscript\n FakeQuantWithMinMaxArgs(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input inputs\n)\n``` \n\n### FakeQuantWithMinMaxArgs\n\n```gdscript\n FakeQuantWithMinMaxArgs(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input inputs,\n const FakeQuantWithMinMaxArgs::Attrs & attrs\n)\n``` \n\n### node\n\n```gdscript\n::tensorflow::Node * node() const \n``` \n\n### operator::tensorflow::Input\n\n```gdscript\n operator::tensorflow::Input() const \n``` \n\n### operator::tensorflow::Output\n\n```gdscript\n operator::tensorflow::Output() const \n``` \n\nPublic static functions\n-----------------------\n\n### Max\n\n```text\nAttrs Max(\n float x\n)\n``` \n\n### Min\n\n```text\nAttrs Min(\n float x\n)\n``` \n\n### NarrowRange\n\n```text\nAttrs NarrowRange(\n bool x\n)\n``` \n\n### NumBits\n\n```text\nAttrs NumBits(\n int64 x\n)\n```"]]