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fluxo tensor:: ops:: SparseSegmentMean
#include <math_ops.h> Calcula a média ao longo de segmentos esparsos de um tensor.
Resumo
Consulte tf.sparse.segment_sum para exemplos de uso.
Como SegmentMean , mas segment_ids pode ter classificação inferior à primeira dimensão dos data , selecionando um subconjunto da dimensão 0, especificado por indices .
Argumentos:
- escopo: um objeto Escopo
- índices: Um tensor 1-D. Tem a mesma classificação que
segment_ids . - segment_ids: um tensor 1-D. Os valores devem ser classificados e podem ser repetidos.
Retorna:
-
Output : tem o mesmo formato dos dados, exceto a dimensão 0 que tem tamanho k , o número de segmentos.
Atributos públicos
Funções públicas
nó
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operador::tensorflow::Saída
operator::tensorflow::Output() const
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Última atualização 2025-07-27 UTC.
[null,null,["Última atualização 2025-07-27 UTC."],[],[],null,["# tensorflow::ops::SparseSegmentMean Class Reference\n\ntensorflow::ops::SparseSegmentMean\n==================================\n\n`#include \u003cmath_ops.h\u003e`\n\nComputes the mean along sparse segments of a tensor.\n\nSummary\n-------\n\nSee `tf.sparse.segment_sum` for usage examples.\n\nLike [SegmentMean](/versions/r2.3/api_docs/cc/class/tensorflow/ops/segment-mean#classtensorflow_1_1ops_1_1_segment_mean), but `segment_ids` can have rank less than `data`'s first dimension, selecting a subset of dimension 0, specified by `indices`.\n\nArguments:\n\n- scope: A [Scope](/versions/r2.3/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\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): Has same shape as data, except for dimension 0 which has size `k`, the number of segments.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [SparseSegmentMean](#classtensorflow_1_1ops_1_1_sparse_segment_mean_1a2b035f5d497b4354b79c35cde0868e49)`(const ::`[tensorflow::Scope](/versions/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` data, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` indices, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` segment_ids)` ||\n\n| ### Public attributes ||\n|-------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_sparse_segment_mean_1a26621912df2877be3e9ab8041f43663a) | [Operation](/versions/r2.3/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_sparse_segment_mean_1a7cd157432ca347f2c4262909896097cf) | `::`[tensorflow::Output](/versions/r2.3/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_1af15317f10be1d8518a25b69848962916)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_sparse_segment_mean_1ad6a04426e5d9dd99a38bcb084e407eda)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_sparse_segment_mean_1ab5d230baf0773a4ec3535973bfaca162)`() 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### SparseSegmentMean\n\n```gdscript\n SparseSegmentMean(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input data,\n ::tensorflow::Input indices,\n ::tensorflow::Input segment_ids\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```"]]
