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텐서플로우:: 작전:: 논리적이고
#include <math_ops.h>
x AND y 요소의 진리값을 반환합니다.
요약
참고 : LogicalAnd
브로드캐스팅을 지원합니다. 방송에 대한 자세한 내용은 여기에서 확인하세요.
인수:
보고:
공개 속성
공공 기능
마디
::tensorflow::Node * node() const
operator::tensorflow::Input() const
연산자::텐서플로우::출력
operator::tensorflow::Output() const
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최종 업데이트: 2025-07-25(UTC)
[null,null,["최종 업데이트: 2025-07-25(UTC)"],[],[],null,["# tensorflow::ops::LogicalAnd Class Reference\n\ntensorflow::ops::LogicalAnd\n===========================\n\n`#include \u003cmath_ops.h\u003e`\n\nReturns the truth value of x AND y element-wise.\n\nSummary\n-------\n\n*NOTE* : [LogicalAnd](/versions/r2.0/api_docs/cc/class/tensorflow/ops/logical-and#classtensorflow_1_1ops_1_1_logical_and) supports broadcasting. More about broadcasting [here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)\n\nArguments:\n\n- scope: A [Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The z tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [LogicalAnd](#classtensorflow_1_1ops_1_1_logical_and_1af9f3111b131782783944593da486c6ea)`(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)` ||\n\n| ### Public attributes ||\n|-----------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_logical_and_1a7e98c420d645dc620c8f7b4b4516b760) | [Operation](/versions/r2.0/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [z](#classtensorflow_1_1ops_1_1_logical_and_1ab57d788691dfd9ebdd7f1ccf083f02e8) | `::`[tensorflow::Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|-----------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_logical_and_1aff566fcbb7549bdf712003579d7f5fe8)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_logical_and_1a4c7dc783f1b82046b6c24949b80bce65)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_logical_and_1a45e23c40e39ae2706aad1a159ca88dd7)`() const ` | ` ` ` ` |\n\nPublic attributes\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### LogicalAnd\n\n```gdscript\n LogicalAnd(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input x,\n ::tensorflow::Input y\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```"]]