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flux tensoriel : : opérations : : QuantifiéMul
#include <math_ops.h>
Renvoie x * y élément par élément, en travaillant sur des tampons quantifiés.
Résumé
Arguments :
- scope : un objet Scope
- min_x : la valeur flottante que représente la valeur
x
quantifiée la plus basse. - max_x : la valeur flottante que représente la valeur
x
quantifiée la plus élevée. - min_y : la valeur flottante que représente la valeur
y
quantifiée la plus basse. - max_y : la valeur flottante que représente la valeur
y
quantifiée la plus élevée.
Retours :
-
Output
z -
Output
min_z : la valeur flottante que représente la valeur de sortie quantifiée la plus basse. -
Output
max_z : la valeur flottante que représente la valeur de sortie quantifiée la plus élevée.
REMARQUE : QuantizedMul
prend en charge des formes limitées de diffusion. En savoir plus sur la diffusion ici
Constructeurs et Destructeurs |
---|
QuantizedMul (const :: tensorflow::Scope & scope, :: tensorflow::Input x, :: tensorflow::Input y, :: tensorflow::Input min_x, :: tensorflow::Input max_x, :: tensorflow::Input min_y, :: tensorflow::Input max_y)
|
QuantizedMul (const :: tensorflow::Scope & scope, :: tensorflow::Input x, :: tensorflow::Input y, :: tensorflow::Input min_x, :: tensorflow::Input max_x, :: tensorflow::Input min_y, :: tensorflow::Input max_y, const QuantizedMul::Attrs & attrs) |
Fonctions statiques publiques |
---|
Toutput (DataType x) | |
Attributs publics
Fonctions publiques
Fonctions statiques publiques
Sortie
Attrs Toutput(
DataType x
)
Sauf indication contraire, le contenu de cette page est régi par une licence Creative Commons Attribution 4.0, et les échantillons de code sont régis par une licence Apache 2.0. Pour en savoir plus, consultez les Règles du site Google Developers. Java est une marque déposée d'Oracle et/ou de ses sociétés affiliées.
Dernière mise à jour le 2025/07/27 (UTC).
[null,null,["Dernière mise à jour le 2025/07/27 (UTC)."],[],[],null,["# tensorflow::ops::QuantizedMul Class Reference\n\ntensorflow::ops::QuantizedMul\n=============================\n\n`#include \u003cmath_ops.h\u003e`\n\nReturns x \\* y element-wise, working on quantized buffers.\n\nSummary\n-------\n\nArguments:\n\n- scope: A [Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- min_x: The float value that the lowest quantized `x` value represents.\n- max_x: The float value that the highest quantized `x` value represents.\n- min_y: The float value that the lowest quantized `y` value represents.\n- max_y: The float value that the highest quantized `y` value represents.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) z\n- [Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) min_z: The float value that the lowest quantized output value represents.\n- [Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) max_z: The float value that the highest quantized output value represents.\n\n\u003cbr /\u003e\n\n*NOTE* : [QuantizedMul](/versions/r2.0/api_docs/cc/class/tensorflow/ops/quantized-mul#classtensorflow_1_1ops_1_1_quantized_mul) supports limited forms of broadcasting. More about broadcasting [here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)\n\n| ### Constructors and Destructors ||\n|---|---|\n| [QuantizedMul](#classtensorflow_1_1ops_1_1_quantized_mul_1a3ba8e6004d636153b34120d1c3941667)`(const ::`[tensorflow::Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` x, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` y, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` min_x, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` max_x, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` min_y, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` max_y)` ||\n| [QuantizedMul](#classtensorflow_1_1ops_1_1_quantized_mul_1aa33fe92400d9e03bdf4cf2ae9d212006)`(const ::`[tensorflow::Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` x, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` y, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` min_x, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` max_x, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` min_y, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` max_y, const `[QuantizedMul::Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/quantized-mul/attrs#structtensorflow_1_1ops_1_1_quantized_mul_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|-------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [max_z](#classtensorflow_1_1ops_1_1_quantized_mul_1a5ff7dd8084555c1a85768b5c4ba9704a) | `::`[tensorflow::Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [min_z](#classtensorflow_1_1ops_1_1_quantized_mul_1afa5b6bf4063d76339c00b804ae843ea4) | `::`[tensorflow::Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [operation](#classtensorflow_1_1ops_1_1_quantized_mul_1ab0c6bd533e83faf6b05fde3f340b0e5f) | [Operation](/versions/r2.0/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [z](#classtensorflow_1_1ops_1_1_quantized_mul_1ab1a8cf9a36910fbb171aeb6925e47d93) | `::`[tensorflow::Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public static functions ||\n|-------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------|\n| [Toutput](#classtensorflow_1_1ops_1_1_quantized_mul_1a1c9da9e324d218df917b74a11a3af452)`(DataType x)` | [Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/quantized-mul/attrs#structtensorflow_1_1ops_1_1_quantized_mul_1_1_attrs) |\n\n| ### Structs ||\n|--------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::QuantizedMul::Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/quantized-mul/attrs) | Optional attribute setters for [QuantizedMul](/versions/r2.0/api_docs/cc/class/tensorflow/ops/quantized-mul#classtensorflow_1_1ops_1_1_quantized_mul). |\n\nPublic attributes\n-----------------\n\n### max_z\n\n```scdoc\n::tensorflow::Output max_z\n``` \n\n### min_z\n\n```scdoc\n::tensorflow::Output min_z\n``` \n\n### operation\n\n```text\nOperation operation\n``` \n\n### z\n\n```text\n::tensorflow::Output z\n``` \n\nPublic functions\n----------------\n\n### QuantizedMul\n\n```gdscript\n QuantizedMul(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input x,\n ::tensorflow::Input y,\n ::tensorflow::Input min_x,\n ::tensorflow::Input max_x,\n ::tensorflow::Input min_y,\n ::tensorflow::Input max_y\n)\n``` \n\n### QuantizedMul\n\n```gdscript\n QuantizedMul(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input x,\n ::tensorflow::Input y,\n ::tensorflow::Input min_x,\n ::tensorflow::Input max_x,\n ::tensorflow::Input min_y,\n ::tensorflow::Input max_y,\n const QuantizedMul::Attrs & attrs\n)\n``` \n\nPublic static functions\n-----------------------\n\n### Toutput\n\n```text\nAttrs Toutput(\n DataType x\n)\n```"]]