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aliran tensor:: operasi:: jumlah bin
#include <math_ops.h> Menghitung jumlah kemunculan setiap nilai dalam array bilangan bulat.
Ringkasan
Menghasilkan vektor dengan size panjang dan tipe d yang sama dengan weights . Jika weights kosong, maka indeks i menyimpan berapa kali nilai i dihitung dalam arr . Jika weights tidak kosong, maka indeks i menyimpan jumlah nilai weights pada setiap indeks yang nilai arr adalah i .
Nilai dalam arr di luar rentang [0, ukuran) diabaikan.
Argumen:
- ruang lingkup: Objek Lingkup
- arr: int32
Tensor . - ukuran:
Tensor skalar int32 non-negatif. - bobot: adalah
Tensor int32, int64, float32, atau float64 dengan bentuk yang sama dengan arr , atau Tensor dengan panjang-0, dalam hal ini ia bertindak karena semua bobot sama dengan 1.
Pengembalian:
-
Output : Tensor 1D dengan panjang sama dengan size . Jumlah atau penjumlahan bobot untuk setiap nilai dalam rentang [0, ukuran).
Atribut publik
Fungsi publik
simpul
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Keluaran
operator::tensorflow::Output() const
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Terakhir diperbarui pada 2025-07-26 UTC.
[null,null,["Terakhir diperbarui pada 2025-07-26 UTC."],[],[],null,["# tensorflow::ops::Bincount Class Reference\n\ntensorflow::ops::Bincount\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/r2.1/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- arr: int32 [Tensor](/versions/r2.1/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor).\n- size: non-negative int32 scalar [Tensor](/versions/r2.1/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor).\n- weights: is an int32, int64, float32, or float64 [Tensor](/versions/r2.1/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor) with the same shape as `arr`, or a length-0 [Tensor](/versions/r2.1/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\nReturns:\n\n- [Output](/versions/r2.1/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): 1D [Tensor](/versions/r2.1/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor) with length equal to `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| [Bincount](#classtensorflow_1_1ops_1_1_bincount_1aab467738732ef3a8009ad662ba4d3821)`(const ::`[tensorflow::Scope](/versions/r2.1/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` arr, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` size, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` weights)` ||\n\n| ### Public attributes ||\n|--------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [bins](#classtensorflow_1_1ops_1_1_bincount_1ac125b9a1515efa737f727151bfeaaa73) | `::`[tensorflow::Output](/versions/r2.1/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [operation](#classtensorflow_1_1ops_1_1_bincount_1ab09a9d72c4506a6911bfbe00775dde37) | [Operation](/versions/r2.1/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n\n| ### Public functions ||\n|--------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_bincount_1a4e41f60ef9fb7473b6aa1d8b939e11db)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_bincount_1a3ac1f5104aacae7c5ed57e9a2094a80a)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_bincount_1a05eb54bb4dcf8b07c04cd58c4232d229)`() const ` | ` ` ` ` |\n\nPublic attributes\n-----------------\n\n### bins\n\n```text\n::tensorflow::Output bins\n``` \n\n### operation\n\n```text\nOperation operation\n``` \n\nPublic functions\n----------------\n\n### Bincount\n\n```gdscript\n Bincount(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input arr,\n ::tensorflow::Input size,\n ::tensorflow::Input weights\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```"]]
