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텐서플로우:: 작전:: 합집합
#include <math_ops.h>
텐서의 차원 전체에 걸쳐 요소의 합을 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:
별칭:
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::Sum Class Reference\n\ntensorflow::ops::Sum\n====================\n\n`#include \u003cmath_ops.h\u003e`\n\nComputes the sum 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/r2.2/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/r2.2/api_docs/cc/struct/tensorflow/ops/sum/attrs#structtensorflow_1_1ops_1_1_sum_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/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The reduced tensor.\n\n\u003cbr /\u003e\n\nAliases:\n\n- ReduceSum\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [Sum](#classtensorflow_1_1ops_1_1_sum_1a341324ed38971337938f58c4dd0266d5)`(const ::`[tensorflow::Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` axis)` ||\n| [Sum](#classtensorflow_1_1ops_1_1_sum_1a4eda74597ef4aa27ffc9e46faa44784a)`(const ::`[tensorflow::Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` axis, const `[Sum::Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/sum/attrs#structtensorflow_1_1ops_1_1_sum_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|---------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_sum_1a8c15531c7f77d5644e4fc462aa71b50d) | [Operation](/versions/r2.2/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_sum_1aadcd98e136a98408ff471057a1470e21) | `::`[tensorflow::Output](/versions/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|---------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_sum_1a1f8bb7a4a82b5cdab23f43564703dc08)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_sum_1af520ee8ec9e5caf488ebb719a26a91e8)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_sum_1a85412c1763adffff3c4f0d0fe7a8e433)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------|\n| [KeepDims](#classtensorflow_1_1ops_1_1_sum_1a3ed061476e46b79f5e6ec8bdd28dd3e0)`(bool x)` | [Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/sum/attrs#structtensorflow_1_1ops_1_1_sum_1_1_attrs) |\n\n| ### Structs ||\n|-------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::Sum::Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/sum/attrs) | Optional attribute setters for [Sum](/versions/r2.2/api_docs/cc/class/tensorflow/ops/sum#classtensorflow_1_1ops_1_1_sum). |\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### Sum\n\n```gdscript\n Sum(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input,\n ::tensorflow::Input axis\n)\n``` \n\n### Sum\n\n```gdscript\n Sum(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input,\n ::tensorflow::Input axis,\n const Sum::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```"]]