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텐서플로우:: 작전:: 아고쉬
#include <math_ops.h> x 요소별로 역쌍곡선 코사인을 계산합니다.
요약
입력 텐서가 주어지면 함수는 모든 요소의 역쌍곡선 코사인을 계산합니다. 입력 범위는 [1, inf] 입니다. 입력이 범위를 벗어나면 nan 반환합니다.
x = tf.constant([-2, -0.5, 1, 1.2, 200, 10000, float("inf")])
tf.math.acosh(x) ==> [nan nan 0. 0.62236255 5.9914584 9.903487 inf] 인수:
보고:
공개 속성
공공 기능
마디
::tensorflow::Node * node() const
operator::tensorflow::Input() const
연산자::텐서플로우::출력
operator::tensorflow::Output() const
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최종 업데이트: 2025-07-26(UTC)
[null,null,["최종 업데이트: 2025-07-26(UTC)"],[],[],null,["# tensorflow::ops::Acosh Class Reference\n\ntensorflow::ops::Acosh\n======================\n\n`#include \u003cmath_ops.h\u003e`\n\nComputes inverse hyperbolic cosine of x element-wise.\n\nSummary\n-------\n\nGiven an input tensor, the function computes inverse hyperbolic cosine of every element. [Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input) range is `[1, inf]`. It returns `nan` if the input lies outside the range.\n\n\n```gdscript\nx = tf.constant([-2, -0.5, 1, 1.2, 200, 10000, float(\"inf\")])\ntf.math.acosh(x) ==\u003e [nan nan 0. 0.62236255 5.9914584 9.903487 inf]\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| [Acosh](#classtensorflow_1_1ops_1_1_acosh_1a31b3474b5d1e71240fe6088301abf0a5)`(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_acosh_1aa991cae2b2e8e5c5ba714a927be34d8c) | [Operation](/versions/r2.0/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [y](#classtensorflow_1_1ops_1_1_acosh_1a5afe6daf80428d88039349ebf210c1cf) | `::`[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_acosh_1a21ed3b868b1295f99f00438352ce0ac9)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_acosh_1a45294a289edf40798c124ba4de38e96c)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_acosh_1a10bde9ae4d7770247d77d86b34da6752)`() 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### Acosh\n\n```gdscript\n Acosh(\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```"]]
