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aliran tensor:: operasi:: Atan
#include <math_ops.h> Menghitung invers tangen trigonometri dari elemen x.
Ringkasan
Operasi tf.math.atan mengembalikan kebalikan dari tf.math.tan , sehingga jika y = tf.math.tan(x) maka, x = tf.math.atan(y) .
Catatan : Output dari tf.math.atan akan berada dalam rentang tan yang dapat dibalik, yaitu (-pi/2, pi/2).
Misalnya:
# Note: [1.047, 0.785] ~= [(pi/3), (pi/4)]
x = tf.constant([1.047, 0.785])
y = tf.math.tan(x) # [1.731261, 0.99920404]
tf.math.atan(y) # [1.047, 0.785] = x
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 2025-07-25 UTC.
[null,null,["Terakhir diperbarui pada 2025-07-25 UTC."],[],[],null,["# tensorflow::ops::Atan Class Reference\n\ntensorflow::ops::Atan\n=====================\n\n`#include \u003cmath_ops.h\u003e`\n\nComputes the trignometric inverse tangent of x element-wise.\n\nSummary\n-------\n\nThe `tf.math.atan` operation returns the inverse of `tf.math.tan`, such that if `y = tf.math.tan(x)` then, `x = tf.math.atan(y)`.\n\n**Note** : The output of `tf.math.atan` will lie within the invertible range of tan, i.e (-pi/2, pi/2).\n\nFor example:\n\n\n```gdscript\n# Note: [1.047, 0.785] ~= [(pi/3), (pi/4)]\nx = tf.constant([1.047, 0.785])\ny = tf.math.tan(x) # [1.731261, 0.99920404]\n```\n\n\u003cbr /\u003e\n\n\n```text\ntf.math.atan(y) # [1.047, 0.785] = x\n```\n\n\u003cbr /\u003e\n\nArguments:\n\n- scope: A [Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The y tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [Atan](#classtensorflow_1_1ops_1_1_atan_1a7b02bb9ab4e7cd8ff23d3e92c6686ee3)`(const ::`[tensorflow::Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` x)` ||\n\n| ### Public attributes ||\n|----------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_atan_1a117cba9fcb527e14a8cd50fef2654b73) | [Operation](/versions/r2.0/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [y](#classtensorflow_1_1ops_1_1_atan_1a760de5766d91ab58baac9b30ef72e31b) | `::`[tensorflow::Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|----------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_atan_1a1cfef5ade7b9abd1e2950e75d91a0f9e)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_atan_1aeaf5812aa103244a12bf811b2132c160)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_atan_1a79805771e314a6c80bb73dcb34bb4e73)`() 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### Atan\n\n```gdscript\n Atan(\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```"]]
