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fluxo tensor:: ops:: QuantizadoMul
#include <math_ops.h>
Retorna x * y elemento a elemento, trabalhando em buffers quantizados.
Resumo
Argumentos:
- escopo: um objeto Escopo
- min_x: O valor flutuante que o valor
x
quantizado mais baixo representa. - max_x: O valor flutuante que o valor
x
quantizado mais alto representa. - min_y: O valor flutuante que o valor
y
quantizado mais baixo representa. - max_y: O valor flutuante que o valor
y
quantizado mais alto representa.
Retorna:
-
Output
z -
Output
min_z: o valor flutuante que o valor de saída quantizado mais baixo representa. -
Output
max_z: o valor flutuante que o valor de saída quantizado mais alto representa.
NOTA : QuantizedMul
suporta formas limitadas de transmissão. Mais sobre transmissão aqui
Construtores e Destruidores |
---|
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) |
Funções estáticas públicas |
---|
Toutput (DataType x) | |
Atributos públicos
Funções públicas
Funções estáticas públicas
Saída
Attrs Toutput(
DataType x
)
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Última atualização 2025-07-25 UTC.
[null,null,["Última atualização 2025-07-25 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/r1.15/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/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) z\n- [Output](/versions/r1.15/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/r1.15/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/r1.15/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/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)` y, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` min_x, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` max_x, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` min_y, ::`[tensorflow::Input](/versions/r1.15/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/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)` y, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` min_x, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` max_x, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` min_y, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` max_y, const `[QuantizedMul::Attrs](/versions/r1.15/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/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [min_z](#classtensorflow_1_1ops_1_1_quantized_mul_1afa5b6bf4063d76339c00b804ae843ea4) | `::`[tensorflow::Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [operation](#classtensorflow_1_1ops_1_1_quantized_mul_1ab0c6bd533e83faf6b05fde3f340b0e5f) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [z](#classtensorflow_1_1ops_1_1_quantized_mul_1ab1a8cf9a36910fbb171aeb6925e47d93) | `::`[tensorflow::Output](/versions/r1.15/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/r1.15/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/r1.15/api_docs/cc/struct/tensorflow/ops/quantized-mul/attrs) | Optional attribute setters for [QuantizedMul](/versions/r1.15/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```"]]