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tensoreflusso:: ops:: RaggedBincount
#include <math_ops.h>
Conta il numero di occorrenze di ciascun valore in una matrice di numeri interi.
Riepilogo
Restituisce un vettore con size
della lunghezza e lo stesso dtype dei weights
. Se weights
sono vuoti, l'indice i
memorizza il numero di volte in cui il valore i
viene conteggiato in arr
. Se weights
non sono vuoti, indice i
memorizza la somma del valore in weights
in ciascun indice in cui il valore corrispondente in arr
è i
.
I valori in arr
esterni all'intervallo [0, size) vengono ignorati.
Argomenti:
- scope: un oggetto Scope
- si divide: 1D int64
Tensor
. - valori: 2D int
Tensor
. - dimensione: non negativo int scalare
Tensor
. - pesi: è un
Tensor
int32, int64, float32 o float64 con la stessa forma di input
o un Tensor
length-0, nel qual caso agisce come tutti i pesi uguali a 1.
Attributi facoltativi (vedi Attrs
):
- output_binario: bool; Se il kernel deve contare l'apparizione o il numero di occorrenze.
Resi:
-
Output
: Tensor
1D con lunghezza uguale a size
o Tensor
2D con [batch_size, size
]. I conteggi o i pesi sommati per ciascun valore nell'intervallo [0, dimensione).
Attributi pubblici
Funzioni pubbliche
nodo
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operatore::tensorflow::Output
operator::tensorflow::Output() const
Funzioni pubbliche statiche
Uscita binaria
Attrs BinaryOutput(
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::RaggedBincount Class Reference\n\ntensorflow::ops::RaggedBincount\n===============================\n\n`#include \u003cmath_ops.h\u003e`\n\nCounts the number of occurrences of each value in an integer array.\n\nSummary\n-------\n\nOutputs a vector with length `size` and the same dtype as `weights`. If `weights` are empty, then index `i` stores the number of times the value `i` is counted in `arr`. If `weights` are non-empty, then index `i` stores the sum of the value in `weights` at each index where the corresponding value in `arr` is `i`.\n\nValues in `arr` outside of the range \\[0, size) are ignored.\n\nArguments:\n\n- scope: A [Scope](/versions/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- splits: 1D int64 [Tensor](/versions/r2.3/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor).\n- values: 2D int [Tensor](/versions/r2.3/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor).\n- size: non-negative int scalar [Tensor](/versions/r2.3/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor).\n- weights: is an int32, int64, float32, or float64 [Tensor](/versions/r2.3/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor) with the same shape as `input`, or a length-0 [Tensor](/versions/r2.3/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor), in which case it acts as all weights equal to 1.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/ragged-bincount/attrs#structtensorflow_1_1ops_1_1_ragged_bincount_1_1_attrs)):\n\n- binary_output: bool; Whether the kernel should count the appearance or number of occurrences.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): 1D [Tensor](/versions/r2.3/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor) with length equal to `size` or 2D [Tensor](/versions/r2.3/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor) with \\[batch_size, `size`\\]. The counts or summed weights for each value in the range \\[0, size).\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [RaggedBincount](#classtensorflow_1_1ops_1_1_ragged_bincount_1af6554de96f809fccbd678adaffbc3c24)`(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)` splits, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` values, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` size, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` weights)` ||\n| [RaggedBincount](#classtensorflow_1_1ops_1_1_ragged_bincount_1ab10c029cf1e632fc88ce35a983cecd43)`(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)` splits, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` values, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` size, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` weights, const `[RaggedBincount::Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/ragged-bincount/attrs#structtensorflow_1_1ops_1_1_ragged_bincount_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|---------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_ragged_bincount_1a733325350aabe10af880482ad5e1f9e0) | [Operation](/versions/r2.3/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_ragged_bincount_1a29aa4960a91cfce90a6ff9b5bdd8f47d) | `::`[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_ragged_bincount_1ab80b688c6e079f3cb485c27bae9fc4f6)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_ragged_bincount_1a3ee830fe3366afe1d6d8185e5d362999)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_ragged_bincount_1a0258579a8e475e40192adf1f9d54b806)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|----------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------|\n| [BinaryOutput](#classtensorflow_1_1ops_1_1_ragged_bincount_1a9853523da24b28968c4a53efae303ab9)`(bool x)` | [Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/ragged-bincount/attrs#structtensorflow_1_1ops_1_1_ragged_bincount_1_1_attrs) |\n\n| ### Structs ||\n|------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::RaggedBincount::Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/ragged-bincount/attrs) | Optional attribute setters for [RaggedBincount](/versions/r2.3/api_docs/cc/class/tensorflow/ops/ragged-bincount#classtensorflow_1_1ops_1_1_ragged_bincount). |\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### RaggedBincount\n\n```gdscript\n RaggedBincount(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input splits,\n ::tensorflow::Input values,\n ::tensorflow::Input size,\n ::tensorflow::Input weights\n)\n``` \n\n### RaggedBincount\n\n```gdscript\n RaggedBincount(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input splits,\n ::tensorflow::Input values,\n ::tensorflow::Input size,\n ::tensorflow::Input weights,\n const RaggedBincount::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### BinaryOutput\n\n```text\nAttrs BinaryOutput(\n bool x\n)\n```"]]