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aliran tensor:: operasi:: Pembalikan Permutasi
#include <array_ops.h> Menghitung permutasi terbalik dari tensor.
Ringkasan
Operasi ini menghitung kebalikan dari permutasi indeks. Dibutuhkan tensor bilangan bulat 1-D x , yang mewakili indeks array berbasis nol, dan menukar setiap nilai dengan posisi indeksnya. Dengan kata lain, untuk tensor keluaran y dan tensor masukan x , operasi ini menghitung hal berikut:
y[x[i]] = i for i in [0, 1, ..., len(x) - 1]
Nilai harus menyertakan 0. Tidak boleh ada nilai duplikat atau nilai negatif.
Misalnya:
# tensor `x` is [3, 4, 0, 2, 1]
invert_permutation(x) ==> [2, 4, 3, 0, 1]
Argumen:
- ruang lingkup: Objek Lingkup
- x: 1-D.
Pengembalian:
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::InvertPermutation Class Reference\n\ntensorflow::ops::InvertPermutation\n==================================\n\n`#include \u003carray_ops.h\u003e`\n\nComputes the inverse permutation of a tensor.\n\nSummary\n-------\n\nThis operation computes the inverse of an index permutation. It takes a 1-D integer tensor `x`, which represents the indices of a zero-based array, and swaps each value with its index position. In other words, for an output tensor `y` and an input tensor `x`, this operation computes the following:\n\n\n`y[x[i]] = i for i in [0, 1, ..., len(x) - 1]`\n\nThe values must include 0. There can be no duplicate values or negative values.\n\nFor example:\n\n\n```mysql\n# tensor `x` is [3, 4, 0, 2, 1]\ninvert_permutation(x) ==\u003e [2, 4, 3, 0, 1]\n```\n\n\u003cbr /\u003e\n\nArguments:\n\n- scope: A [Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- x: 1-D.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): 1-D.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [InvertPermutation](#classtensorflow_1_1ops_1_1_invert_permutation_1a47c39ba350709259ed5fbaec9e0e3ef8)`(const ::`[tensorflow::Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` x)` ||\n\n| ### Public attributes ||\n|------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_invert_permutation_1a10bdbd547af396286b226a61b4417c89) | [Operation](/versions/r2.2/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [y](#classtensorflow_1_1ops_1_1_invert_permutation_1a4c610e367ae065a0aa870a4d171fd0d6) | `::`[tensorflow::Output](/versions/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|------------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_invert_permutation_1af81a3c965d5a4111a80a32b928075993)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_invert_permutation_1a37078d47cc8bf77238aeb89a0768413b)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_invert_permutation_1a7b457c171ec14a65cc07f10866ddcd76)`() const ` | ` ` ` ` |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### y\n\n```text\n::tensorflow::Output y\n``` \n\nPublic functions\n----------------\n\n### InvertPermutation\n\n```gdscript\n InvertPermutation(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input x\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```"]]
