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tensor akışı:: işlem:: Sinh
#include <math_ops.h> Hiperbolik sinüs x'i öğe bazında hesaplar.
Özet
Bir giriş tensörü verildiğinde, bu fonksiyon tensördeki her elemanın hiperbolik sinüsünü hesaplar. Giriş aralığı [-inf,inf] ve çıkış aralığı [-inf,inf] şeklindedir.
x = tf.constant([-float("inf"), -9, -0.5, 1, 1.2, 2, 10, float("inf")])
tf.math.sinh(x) ==> [-inf -4.0515420e+03 -5.2109528e-01 1.1752012e+00 1.5094614e+00 3.6268604e+00 1.1013232e+04 inf]
Argümanlar:
İade:
Genel özellikler
Kamu işlevleri
düğüm
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operatör::tensorflow::Çıktı
operator::tensorflow::Output() const
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Son güncelleme tarihi: 2025-07-26 UTC.
[null,null,["Son güncelleme tarihi: 2025-07-26 UTC."],[],[],null,["# tensorflow::ops::Sinh Class Reference\n\ntensorflow::ops::Sinh\n=====================\n\n`#include \u003cmath_ops.h\u003e`\n\nComputes hyperbolic sine of x element-wise.\n\nSummary\n-------\n\nGiven an input tensor, this function computes hyperbolic sine of every element in the tensor. [Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input) range is `[-inf,inf]` and output range is `[-inf,inf]`.\n\n\n```gdscript\n x = tf.constant([-float(\"inf\"), -9, -0.5, 1, 1.2, 2, 10, float(\"inf\")])\n tf.math.sinh(x) ==\u003e [-inf -4.0515420e+03 -5.2109528e-01 1.1752012e+00 1.5094614e+00 3.6268604e+00 1.1013232e+04 inf]\n \n```\n\n\u003cbr /\u003e\n\nArguments:\n\n- scope: A [Scope](/versions/r2.1/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.1/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The y tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [Sinh](#classtensorflow_1_1ops_1_1_sinh_1a858b848cd4213f41cd00d200ee172d66)`(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)` x)` ||\n\n| ### Public attributes ||\n|----------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_sinh_1a93105ee301fb80969eb476bdb33638da) | [Operation](/versions/r2.1/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [y](#classtensorflow_1_1ops_1_1_sinh_1ada558096ec0c6a3e1775a276b4196d05) | `::`[tensorflow::Output](/versions/r2.1/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|----------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_sinh_1a471f0f546ee40901a6829259e765fc83)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_sinh_1a7a599755188d6873433458bf4094bbe1)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_sinh_1adc39c87163a76f66a80ff2bb7193eef2)`() 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### Sinh\n\n```gdscript\n Sinh(\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```"]]
