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aliran tensor:: operasi:: Konj
#include <math_ops.h> Mengembalikan konjugat kompleks dari bilangan kompleks.
Ringkasan
Mengingat input tensor bilangan kompleks, operasi ini mengembalikan tensor bilangan kompleks yang merupakan konjugat kompleks setiap elemen dalam input . Bilangan kompleks yang input harus berbentuk \(a + bj\), dimana a adalah bagian nyata dan b adalah bagian imajiner.
Konjugat kompleks yang dikembalikan oleh operasi ini berbentuk \(a - bj\).
Misalnya:
# tensor 'input' is [-2.25 + 4.75j, 3.25 + 5.75j]
tf.conj(input) ==> [-2.25 - 4.75j, 3.25 - 5.75j]
Argumen:
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::Conj Class Reference\n\ntensorflow::ops::Conj\n=====================\n\n`#include \u003cmath_ops.h\u003e`\n\nReturns the complex conjugate of a complex number.\n\nSummary\n-------\n\nGiven a tensor `input` of complex numbers, this operation returns a tensor of complex numbers that are the complex conjugate of each element in `input`. The complex numbers in `input` must be of the form \\\\(a + bj\\\\), where *a* is the real part and *b* is the imaginary part.\n\nThe complex conjugate returned by this operation is of the form \\\\(a - bj\\\\).\n\nFor example:\n\n\n```text\n# tensor 'input' is [-2.25 + 4.75j, 3.25 + 5.75j]\ntf.conj(input) ==\u003e [-2.25 - 4.75j, 3.25 - 5.75j]\n```\n\n\u003cbr /\u003e\n\nArguments:\n\n- scope: A [Scope](/versions/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The output tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [Conj](#classtensorflow_1_1ops_1_1_conj_1a8f7233511e2a1a69f87257562f793389)`(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)` ||\n\n| ### Public attributes ||\n|----------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_conj_1a5fefdf385bc3d436389114cdc0a9f9ba) | [Operation](/versions/r2.3/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_conj_1aea384c3c77a5918f2d31b72ad64a155a) | `::`[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_conj_1ac0a0d5db60f5731bf0fd10e22a70590c)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_conj_1a66307fa4c196df6a9506388209ade118)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_conj_1a6e6e95ae739308bad32d899ec224f213)`() const ` | ` ` ` ` |\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### Conj\n\n```gdscript\n Conj(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input\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```"]]
