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tensoreflusso:: ops:: Significare
#include <math_ops.h>
Calcola la media degli elementi attraverso le dimensioni di un tensore.
Riepilogo
Riduce input
lungo le dimensioni indicate axis
. A meno che keep_dims
non sia vero, il rango del tensore viene ridotto di 1 per ogni voce in axis
. Se keep_dims
è true, le dimensioni ridotte vengono mantenute con lunghezza 1.
Argomenti:
- scope: un oggetto Scope
- input: il tensore da ridurre.
- asse: le dimensioni da ridurre. Deve essere compreso nell'intervallo
[-rank(input), rank(input))
.
Attributi facoltativi (vedi Attrs
):
- keep_dims: se vero, mantiene le dimensioni ridotte con lunghezza 1.
Resi:
Alias:
Funzioni pubbliche statiche |
---|
KeepDims (bool x) | |
Attributi pubblici
Funzioni pubbliche
nodo
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operatore::tensorflow::Output
operator::tensorflow::Output() const
Funzioni pubbliche statiche
KeepDims
Attrs KeepDims(
bool x
)
Salvo quando diversamente specificato, i contenuti di questa pagina sono concessi in base alla licenza Creative Commons Attribution 4.0, mentre gli esempi di codice sono concessi in base alla licenza Apache 2.0. Per ulteriori dettagli, consulta le norme del sito di Google Developers. Java è un marchio registrato di Oracle e/o delle sue consociate.
Ultimo aggiornamento 2025-07-26 UTC.
[null,null,["Ultimo aggiornamento 2025-07-26 UTC."],[],[],null,["# tensorflow::ops::Mean Class Reference\n\ntensorflow::ops::Mean\n=====================\n\n`#include \u003cmath_ops.h\u003e`\n\nComputes the mean 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/r1.15/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/r1.15/api_docs/cc/struct/tensorflow/ops/mean/attrs#structtensorflow_1_1ops_1_1_mean_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/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The reduced tensor.\n\n\u003cbr /\u003e\n\nAliases:\n\n- ReduceMean\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [Mean](#classtensorflow_1_1ops_1_1_mean_1a197238a837bef771356ceef555eb3fc5)`(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)` input, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` axis)` ||\n| [Mean](#classtensorflow_1_1ops_1_1_mean_1a4012ca456e79d366e748b30485e13896)`(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)` input, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` axis, const `[Mean::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/mean/attrs#structtensorflow_1_1ops_1_1_mean_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|----------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_mean_1a2d6d74ce2f11798a21c40e7802d15d30) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_mean_1a87264bbbee4da96f9ba784e0710505aa) | `::`[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_mean_1af104f07bacdeb2d4919e1b53d3e9c06d)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_mean_1a6de63011b12a38e192d945bc750aa38a)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_mean_1a7bcb6958d02f23b2e94caeaa619be29c)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|-------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------|\n| [KeepDims](#classtensorflow_1_1ops_1_1_mean_1a9c8b878945fc885afb0f6a74e28efac6)`(bool x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/mean/attrs#structtensorflow_1_1ops_1_1_mean_1_1_attrs) |\n\n| ### Structs ||\n|----------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::Mean::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/mean/attrs) | Optional attribute setters for [Mean](/versions/r1.15/api_docs/cc/class/tensorflow/ops/mean#classtensorflow_1_1ops_1_1_mean). |\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### Mean\n\n```gdscript\n Mean(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input,\n ::tensorflow::Input axis\n)\n``` \n\n### Mean\n\n```gdscript\n Mean(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input,\n ::tensorflow::Input axis,\n const Mean::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```"]]