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tensorflow :: ops :: DenseBincount
#include <math_ops.h>
Conta o número de ocorrências de cada valor em uma matriz de inteiros.
Resumo
Produz um vetor com size
comprimento e o mesmo tipo de weights
. Se os weights
estiverem vazios, o índice i
armazena o número de vezes que o valor i
é contado em arr
. Se os weights
não forem vazios, o índice i
armazena a soma do valor em weights
em cada índice onde o valor correspondente em arr
é i
.
Os valores em arr
fora do intervalo [0, tamanho) são ignorados.
Argumentos:
- escopo: um objeto Scope
- entrada: 1D ou 2D int
Tensor
. - tamanho:
Tensor
escalar int não negativo. - pesos: é um
Tensor
int32, int64, float32 ou float64 com a mesma forma de arr
ou um Tensor
length-0, caso em que atua como todos os pesos iguais a 1.
Atributos opcionais (consulte Attrs
):
- saída_binária: bool; Se o kernel deve contar a aparência ou o número de ocorrências.
Retorna:
-
Output
: Tensor
1D com comprimento igual ao size
ou Tensor
2D com [batch_size, size
]. As contagens ou pesos somados para cada valor no intervalo [0, tamanho).
Atributos públicos
Funções públicas
nó
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operador :: tensorflow :: Saída
operator::tensorflow::Output() const
Funções estáticas públicas
BinaryOutput
Attrs BinaryOutput(
bool x
)
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Última atualização 2020-06-29 UTC.
[null,null,["Última atualização 2020-06-29 UTC."],[],[],null,["# tensorflow::ops::DenseBincount Class Reference\n\ntensorflow::ops::DenseBincount\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- input: 1D or 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 `arr`, 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/dense-bincount/attrs#structtensorflow_1_1ops_1_1_dense_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| [DenseBincount](#classtensorflow_1_1ops_1_1_dense_bincount_1ab02953a432ff72a2a17beaf962267085)`(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)` input, ::`[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| [DenseBincount](#classtensorflow_1_1ops_1_1_dense_bincount_1a35f740d0e88d21d9fda3f036ab191f5f)`(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)` input, ::`[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 `[DenseBincount::Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/dense-bincount/attrs#structtensorflow_1_1ops_1_1_dense_bincount_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|--------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_dense_bincount_1a530c866f76f77857645c04629ff95f0f) | [Operation](/versions/r2.3/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_dense_bincount_1a72cd36e267012d1fba1f52d9fc5dbdde) | `::`[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_dense_bincount_1afe5ba5aab8439e56df2cb121e22cdab4)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_dense_bincount_1ae0ec3cf397401ec119f7a80af6b90207)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_dense_bincount_1a094e2333d7032966f32eeba7350a532c)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|---------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------|\n| [BinaryOutput](#classtensorflow_1_1ops_1_1_dense_bincount_1ade99d480052f18d963d715c56162434b)`(bool x)` | [Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/dense-bincount/attrs#structtensorflow_1_1ops_1_1_dense_bincount_1_1_attrs) |\n\n| ### Structs ||\n|----------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::DenseBincount::Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/dense-bincount/attrs) | Optional attribute setters for [DenseBincount](/versions/r2.3/api_docs/cc/class/tensorflow/ops/dense-bincount#classtensorflow_1_1ops_1_1_dense_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### DenseBincount\n\n```gdscript\n DenseBincount(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input,\n ::tensorflow::Input size,\n ::tensorflow::Input weights\n)\n``` \n\n### DenseBincount\n\n```gdscript\n DenseBincount(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input,\n ::tensorflow::Input size,\n ::tensorflow::Input weights,\n const DenseBincount::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```"]]