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텐서플로우:: 작전:: 양자화멀
#include <math_ops.h>
양자화된 버퍼에서 작동하여 x * y 요소를 반환합니다.
요약
인수:
- 범위: 범위 개체
- min_x: 가장 낮은 양자화된
x
값이 나타내는 부동 소수점 값입니다. - max_x: 가장 높은 양자화된
x
값이 나타내는 부동 소수점 값입니다. - min_y: 가장 낮은 양자화된
y
값이 나타내는 부동 소수점 값입니다. - max_y: 가장 높은 양자화된
y
값이 나타내는 부동 소수점 값입니다.
보고:
-
Output
z -
Output
min_z: 가장 낮은 양자화된 출력 값이 나타내는 부동 소수점 값입니다. -
Output
max_z: 가장 높은 양자화된 출력 값이 나타내는 부동 소수점 값입니다.
참고 : QuantizedMul
제한된 형태의 방송을 지원합니다. 방송에 대한 자세한 내용은 여기에서 확인하세요.
생성자와 소멸자 |
---|
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) |
공개 속성
공공 기능
공개 정적 함수
출력
Attrs Toutput(
DataType x
)
달리 명시되지 않는 한 이 페이지의 콘텐츠에는 Creative Commons Attribution 4.0 라이선스에 따라 라이선스가 부여되며, 코드 샘플에는 Apache 2.0 라이선스에 따라 라이선스가 부여됩니다. 자세한 내용은 Google Developers 사이트 정책을 참조하세요. 자바는 Oracle 및/또는 Oracle 계열사의 등록 상표입니다.
최종 업데이트: 2025-07-27(UTC)
[null,null,["최종 업데이트: 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```"]]