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tensor akışı:: işlem:: Deney1
#include <math_ops.h> exp(x) - 1 öğesini eleman bazında hesaplar.
Özet
yani exp(x) - 1 veya e^(x) - 1 , burada x giriş tensörüdür. e Euler sayısını belirtir ve yaklaşık olarak 2,718281'e eşittir.
x = tf.constant(2.0)
tf.math.expm1(x) ==> 6.389056
x = tf.constant([2.0, 8.0])
tf.math.expm1(x) ==> array([6.389056, 2979.958], dtype=float32)
x = tf.constant(1 + 1j)
tf.math.expm1(x) ==> (0.46869393991588515+2.2873552871788423j)
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::Expm1 Class Reference\n\ntensorflow::ops::Expm1\n======================\n\n`#include \u003cmath_ops.h\u003e`\n\nComputes `exp(x) - 1` element-wise.\n\nSummary\n-------\n\ni.e. `exp(x) - 1` or `e^(x) - 1`, where `x` is the input tensor. `e` denotes Euler's number and is approximately equal to 2.718281.\n\n\n```gdscript\n x = tf.constant(2.0)\n tf.math.expm1(x) ==\u003e 6.389056\n```\n\n\u003cbr /\u003e\n\n\n```gdscript\n x = tf.constant([2.0, 8.0])\n tf.math.expm1(x) ==\u003e array([6.389056, 2979.958], dtype=float32)\n```\n\n\u003cbr /\u003e\n\n\n```gdscript\n x = tf.constant(1 + 1j)\n tf.math.expm1(x) ==\u003e (0.46869393991588515+2.2873552871788423j)\n \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 y tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [Expm1](#classtensorflow_1_1ops_1_1_expm1_1a8b296111e0b616c52bb1ac32c54a6d7a)`(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)` x)` ||\n\n| ### Public attributes ||\n|-----------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_expm1_1a7a9850515f4ea6fbf373787463eb09df) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [y](#classtensorflow_1_1ops_1_1_expm1_1a05fbc6afc7aea30c2af304ea0f47dbf4) | `::`[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_expm1_1a8f37d6ec3ccfb35f8989f12b006ef8f3)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_expm1_1a9ea90c07657a9520b10ba34cf017fe7a)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_expm1_1a0adfeeb72d4fe4c11e5d03a6fd39facc)`() 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### Expm1\n\n```gdscript\n Expm1(\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```"]]
