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aliran tensor:: operasi:: Nyata
#include <math_ops.h> Mengembalikan bagian real dari bilangan kompleks.
Ringkasan
Mengingat input tensor bilangan kompleks, operasi ini mengembalikan tensor bertipe float yang merupakan bagian nyata dari setiap elemen dalam input . Semua elemen yang input harus berbentuk bilangan kompleks \(a + bj\), dimana a adalah bagian real yang dihasilkan oleh operasi ini dan b adalah bagian imajiner.
Misalnya:
# tensor 'input' is [-2.25 + 4.75j, 3.25 + 5.75j]
tf.real(input) ==> [-2.25, 3.25]
Argumen:
Pengembalian:
Fungsi statis publik |
|---|
Tout (DataType x) | |
Atribut publik
Fungsi publik
simpul
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Keluaran
operator::tensorflow::Output() const
Fungsi statis publik
Mengintip
Attrs Tout(
DataType x
)
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Terakhir diperbarui pada 2025-07-26 UTC.
[null,null,["Terakhir diperbarui pada 2025-07-26 UTC."],[],[],null,["# tensorflow::ops::Real Class Reference\n\ntensorflow::ops::Real\n=====================\n\n`#include \u003cmath_ops.h\u003e`\n\nReturns the real part of a complex number.\n\nSummary\n-------\n\nGiven a tensor `input` of complex numbers, this operation returns a tensor of type `float` that is the real part of each element in `input`. [All](/versions/r1.15/api_docs/cc/class/tensorflow/ops/all#classtensorflow_1_1ops_1_1_all) elements in `input` must be complex numbers of the form \\\\(a + bj\\\\), where *a* is the real part returned by this operation and *b* is the imaginary part.\n\nFor example:\n\n\n```text\n# tensor 'input' is [-2.25 + 4.75j, 3.25 + 5.75j]\ntf.real(input) ==\u003e [-2.25, 3.25]\n```\n\n\u003cbr /\u003e\n\nArguments:\n\n- scope: A [Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The output tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [Real](#classtensorflow_1_1ops_1_1_real_1a325ef3b733f6ad8692d9720b7e54225d)`(const ::`[tensorflow::Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input)` ||\n| [Real](#classtensorflow_1_1ops_1_1_real_1af45fe6c2bfe92acdfcd8e336edae84fa)`(const ::`[tensorflow::Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input, const `[Real::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/real/attrs#structtensorflow_1_1ops_1_1_real_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|----------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_real_1aa95f3627ba746f832e286cdac76fb519) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_real_1a9cea0b88989b3dbfc93309a32579998f) | `::`[tensorflow::Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|----------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_real_1a867b9ea135418a9d1464fdfe16980b7f)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_real_1acd53e8c51378fa3ea7d4bdba4a188c3f)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_real_1a58cc5679f42ee343e17d4ac4cea1aae7)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|-------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------|\n| [Tout](#classtensorflow_1_1ops_1_1_real_1a3978d1a4514b02a46543aaa1dc8ce5ef)`(DataType x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/real/attrs#structtensorflow_1_1ops_1_1_real_1_1_attrs) |\n\n| ### Structs ||\n|----------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::Real::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/real/attrs) | Optional attribute setters for [Real](/versions/r1.15/api_docs/cc/class/tensorflow/ops/real#classtensorflow_1_1ops_1_1_real). |\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### Real\n\n```gdscript\n Real(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input\n)\n``` \n\n### Real\n\n```gdscript\n Real(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input,\n const Real::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### Tout\n\n```text\nAttrs Tout(\n DataType x\n)\n```"]]
