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텐서플로우:: 작전:: 리감마
#include <math_ops.h> Gamma(x) 요소별 절대값의 로그를 계산합니다.
요약
양수의 경우 이 함수는 텐서의 모든 요소에 대해 log((input - 1)!)를 계산합니다. lgamma(5) = log((5-1)!) = log(4!) = log(24) = 3.1780539
예:
x = tf.constant([0, 0.5, 1, 4.5, -4, -5.6])
tf.math.lgamma(x) ==> [inf, 0.5723649, 0., 2.4537368, inf, -4.6477685]
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: 2025-07-27(UTC)
[null,null,["최종 업데이트: 2025-07-27(UTC)"],[],[],null,["# tensorflow::ops::Lgamma Class Reference\n\ntensorflow::ops::Lgamma\n=======================\n\n`#include \u003cmath_ops.h\u003e`\n\nComputes the log of the absolute value of `Gamma(x)` element-wise.\n\nSummary\n-------\n\nFor positive numbers, this function computes log((input - 1)!) for every element in the tensor. `lgamma(5) = log((5-1)!) = log(4!) = log(24) = 3.1780539`\n\nExample:\n\n\n```gdscript\nx = tf.constant([0, 0.5, 1, 4.5, -4, -5.6])\ntf.math.lgamma(x) ==\u003e [inf, 0.5723649, 0., 2.4537368, inf, -4.6477685]\n```\n\n\u003cbr /\u003e\n\nArguments:\n\n- scope: A [Scope](/versions/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The y tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [Lgamma](#classtensorflow_1_1ops_1_1_lgamma_1a150fec9302f3622dc8885f6d75980d58)`(const ::`[tensorflow::Scope](/versions/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` x)` ||\n\n| ### Public attributes ||\n|------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_lgamma_1aaede98d02e1e19ad09b9578d91655e12) | [Operation](/versions/r2.3/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [y](#classtensorflow_1_1ops_1_1_lgamma_1aa40f8955ff20a832e557ea33b2b764ba) | `::`[tensorflow::Output](/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_lgamma_1a68ff86c03e6c325c055e727edbb4486c)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_lgamma_1a71994d50b4db9b4158d3b0cc2f6111d4)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_lgamma_1acbf27ddfeef1916a009c8b2356ecabe6)`() 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### Lgamma\n\n```gdscript\n Lgamma(\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```"]]
