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텐서플로우:: 작전:: 유클리드표준
#include <math_ops.h>
텐서의 차원 전체에 걸쳐 요소의 유클리드 노름을 계산합니다.
요약
axis
에 지정된 차원에 따라 input
줄입니다. keep_dims
true가 아닌 이상, 텐서의 순위는 axis
의 각 항목에 대해 1씩 감소합니다. keep_dims
true이면 축소된 치수가 길이 1로 유지됩니다.
인수:
- 범위: 범위 개체
- 입력: 줄일 텐서입니다.
- axis: 축소할 치수입니다.
[-rank(input), rank(input))
범위 내에 있어야 합니다.
선택적 속성( Attrs
참조):
- keep_dims: true인 경우 길이가 1인 축소된 치수를 유지합니다.
보고:
공개 속성
공공 기능
마디
::tensorflow::Node * node() const
operator::tensorflow::Input() const
연산자::텐서플로우::출력
operator::tensorflow::Output() const
공개 정적 함수
KeepDims
Attrs KeepDims(
bool x
)
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최종 업데이트: 2025-07-26(UTC)
[null,null,["최종 업데이트: 2025-07-26(UTC)"],[],[],null,["# tensorflow::ops::EuclideanNorm Class Reference\n\ntensorflow::ops::EuclideanNorm\n==============================\n\n`#include \u003cmath_ops.h\u003e`\n\nComputes the euclidean norm of elements across dimensions of a tensor.\n\nSummary\n-------\n\nReduces `input` along the dimensions given in `axis`. Unless `keep_dims` is true, the rank of the tensor is reduced by 1 for each entry in `axis`. If `keep_dims` is true, the reduced dimensions are retained with length 1.\n\nArguments:\n\n- scope: A [Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- input: The tensor to reduce.\n- axis: The dimensions to reduce. Must be in the range `[-rank(input), rank(input))`.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/euclidean-norm/attrs#structtensorflow_1_1ops_1_1_euclidean_norm_1_1_attrs)):\n\n- keep_dims: If true, retain reduced dimensions with length 1.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The reduced tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [EuclideanNorm](#classtensorflow_1_1ops_1_1_euclidean_norm_1ad96a126c59e864a7aaa3ab3cd313273a)`(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)` input, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` axis)` ||\n| [EuclideanNorm](#classtensorflow_1_1ops_1_1_euclidean_norm_1a995101f70b7895e10937291accc5886e)`(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)` input, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` axis, const `[EuclideanNorm::Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/euclidean-norm/attrs#structtensorflow_1_1ops_1_1_euclidean_norm_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|--------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_euclidean_norm_1a5ae15c96faa67ad8305c7665de6b345e) | [Operation](/versions/r2.0/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_euclidean_norm_1a7d8a7cf02839cdddf74d59f1f5da6c90) | `::`[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_euclidean_norm_1a69ca3e7c52e209a54e6a625f950090bf)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_euclidean_norm_1af43d94b3da8359a70678f274dc9b6d55)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_euclidean_norm_1a642cbc335a48a890ebb975de49cab8ad)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|-----------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------|\n| [KeepDims](#classtensorflow_1_1ops_1_1_euclidean_norm_1a0eb53b9fc1abe872ed5db5dee0d2db76)`(bool x)` | [Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/euclidean-norm/attrs#structtensorflow_1_1ops_1_1_euclidean_norm_1_1_attrs) |\n\n| ### Structs ||\n|----------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::EuclideanNorm::Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/euclidean-norm/attrs) | Optional attribute setters for [EuclideanNorm](/versions/r2.0/api_docs/cc/class/tensorflow/ops/euclidean-norm#classtensorflow_1_1ops_1_1_euclidean_norm). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### output\n\n```text\n::tensorflow::Output output\n``` \n\nPublic functions\n----------------\n\n### EuclideanNorm\n\n```gdscript\n EuclideanNorm(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input,\n ::tensorflow::Input axis\n)\n``` \n\n### EuclideanNorm\n\n```gdscript\n EuclideanNorm(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input,\n ::tensorflow::Input axis,\n const EuclideanNorm::Attrs & attrs\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``` \n\nPublic static functions\n-----------------------\n\n### KeepDims\n\n```text\nAttrs KeepDims(\n bool x\n)\n```"]]