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텐서플로우:: 작전:: DivNoNan
#include <math_ops.h> 분모가 0이면 0을 반환합니다.
요약
참고 : DivNoNan 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::DivNoNan Class Reference\n\ntensorflow::ops::DivNoNan\n=========================\n\n`#include \u003cmath_ops.h\u003e`\n\nReturns 0 if the denominator is zero.\n\nSummary\n-------\n\n*NOTE* : [DivNoNan](/versions/r2.1/api_docs/cc/class/tensorflow/ops/div-no-nan#classtensorflow_1_1ops_1_1_div_no_nan) supports broadcasting. More about broadcasting [here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)\n\nArguments:\n\n- scope: A [Scope](/versions/r2.1/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 z tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [DivNoNan](#classtensorflow_1_1ops_1_1_div_no_nan_1a9d2aed125515fb8f25c21307ec51c25f)`(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)` x, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` y)` ||\n\n| ### Public attributes ||\n|----------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_div_no_nan_1a52f7e0ee4c45eebb6b249ab0b275ce4e) | [Operation](/versions/r2.1/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [z](#classtensorflow_1_1ops_1_1_div_no_nan_1a55107e26ac01d006344cee48f71d2444) | `::`[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_div_no_nan_1a159c9feb45badb0a54f6299f388edeec)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_div_no_nan_1a9173fbcd035b66fe11ed54469322aad0)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_div_no_nan_1a3a7cb1eff3d3843c2515decfba5fddd3)`() 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### DivNoNan\n\n```gdscript\n DivNoNan(\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```"]]
