컬렉션을 사용해 정리하기
내 환경설정을 기준으로 콘텐츠를 저장하고 분류하세요.
텐서플로우:: 작전:: SparseSegmentMeanWithNumSegments
#include <math_ops.h>
텐서의 희소 세그먼트를 따라 평균을 계산합니다.
요약
SparseSegmentMean
과 유사하지만, segment_ids
에 누락된 ID를 허용합니다. ID가 잘못된 경우 해당 위치의 output
텐서는 0이 됩니다.
세그먼트에 대한 설명은 세그먼트화 섹션을 읽어보세요.
인수:
- 범위: 범위 개체
- 인덱스: 1차원 텐서.
segment_ids
와 순위가 동일합니다. - 세그먼트_ID: 1차원 텐서. 값은 정렬되어야 하며 반복될 수 있습니다.
- num_segments: 개별 세그먼트 ID의 수와 동일해야 합니다.
보고:
-
Output
: 크기가 num_segments
인 차원 0을 제외하고 데이터와 모양이 동일합니다.
공개 속성
공공 기능
마디
::tensorflow::Node * node() const
operator::tensorflow::Input() const
연산자::텐서플로우::출력
operator::tensorflow::Output() const
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: 2025-07-25(UTC)
[null,null,["최종 업데이트: 2025-07-25(UTC)"],[],[],null,["# tensorflow::ops::SparseSegmentMeanWithNumSegments Class Reference\n\ntensorflow::ops::SparseSegmentMeanWithNumSegments\n=================================================\n\n`#include \u003cmath_ops.h\u003e`\n\nComputes the mean along sparse segments of a tensor.\n\nSummary\n-------\n\nLike [SparseSegmentMean](/versions/r1.15/api_docs/cc/class/tensorflow/ops/sparse-segment-mean#classtensorflow_1_1ops_1_1_sparse_segment_mean), but allows missing ids in `segment_ids`. If an id is misisng, the `output` tensor at that position will be zeroed.\n\nRead [the section on segmentation](https://tensorflow.org/api_docs/python/tf/math#Segmentation) for an explanation of segments.\n\nArguments:\n\n- scope: A [Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- indices: A 1-D tensor. Has same rank as `segment_ids`.\n- segment_ids: A 1-D tensor. Values should be sorted and can be repeated.\n- num_segments: Should equal the number of distinct segment IDs.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): Has same shape as data, except for dimension 0 which has size `num_segments`.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [SparseSegmentMeanWithNumSegments](#classtensorflow_1_1ops_1_1_sparse_segment_mean_with_num_segments_1acc14eb336c9bb422d63a332e5ff475aa)`(const ::`[tensorflow::Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` data, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` indices, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` segment_ids, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` num_segments)` ||\n\n| ### Public attributes ||\n|-------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_sparse_segment_mean_with_num_segments_1a1750008c63c66918b6adeac3d952ecef) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_sparse_segment_mean_with_num_segments_1a7a024ed618e930ac1bea2d738bd0f394) | `::`[tensorflow::Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|-------------------------------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_sparse_segment_mean_with_num_segments_1ab959360a1d82011d10097010d5274941)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_sparse_segment_mean_with_num_segments_1a0856c9bfce8692ac6cfaf403591e8d4e)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_sparse_segment_mean_with_num_segments_1a298a1bf3fbf9b34d2c306955c3090ff8)`() const ` | ` ` ` ` |\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### SparseSegmentMeanWithNumSegments\n\n```gdscript\n SparseSegmentMeanWithNumSegments(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input data,\n ::tensorflow::Input indices,\n ::tensorflow::Input segment_ids,\n ::tensorflow::Input num_segments\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```"]]