컬렉션을 사용해 정리하기
내 환경설정을 기준으로 콘텐츠를 저장하고 분류하세요.
텐서플로우:: 작전:: ArgMax
#include <math_ops.h>
텐서의 차원 전체에서 가장 큰 값을 가진 인덱스를 반환합니다.
요약
동점인 경우 반환 값의 동일성은 보장되지 않습니다.
용법:
import tensorflow as tf
a = [1, 10, 26.9, 2.8, 166.32, 62.3]
b = tf.math.argmax(input = a)
c = tf.keras.backend.eval(b)
# c = 4
# here a[4] = 166.32 which is the largest element of a across axis 0
인수:
- 범위: 범위 개체
- 차원: int32 또는 int64,
[-rank(input), rank(input))
범위에 있어야 합니다. 축소할 입력 텐서 의 차원을 설명합니다. 벡터의 경우 차원 = 0을 사용합니다.
보고:
공개 속성
공공 기능
마디
::tensorflow::Node * node() const
operator::tensorflow::Input() const
연산자::텐서플로우::출력
operator::tensorflow::Output() const
공개 정적 함수
출력 유형
Attrs OutputType(
DataType x
)
달리 명시되지 않는 한 이 페이지의 콘텐츠에는 Creative Commons Attribution 4.0 라이선스에 따라 라이선스가 부여되며, 코드 샘플에는 Apache 2.0 라이선스에 따라 라이선스가 부여됩니다. 자세한 내용은 Google Developers 사이트 정책을 참조하세요. 자바는 Oracle 및/또는 Oracle 계열사의 등록 상표입니다.
최종 업데이트: 2025-07-26(UTC)
[null,null,["최종 업데이트: 2025-07-26(UTC)"],[],[],null,["# tensorflow::ops::ArgMax Class Reference\n\ntensorflow::ops::ArgMax\n=======================\n\n`#include \u003cmath_ops.h\u003e`\n\nReturns the index with the largest value across dimensions of a tensor.\n\nSummary\n-------\n\nNote that in case of ties the identity of the return value is not guaranteed.\n\nUsage: \n\n```python\n import tensorflow as tf\n a = [1, 10, 26.9, 2.8, 166.32, 62.3]\n b = tf.math.argmax(input = a)\n c = tf.keras.backend.eval(b)\n # c = 4\n # here a[4] = 166.32 which is the largest element of a across axis 0\n \n```\n\n\u003cbr /\u003e\n\nArguments:\n\n- scope: A [Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- dimension: int32 or int64, must be in the range `[-rank(input), rank(input))`. Describes which dimension of the input [Tensor](/versions/r2.2/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor) to reduce across. For vectors, use dimension = 0.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The output tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [ArgMax](#classtensorflow_1_1ops_1_1_arg_max_1abfe8a95c471e85d0f404f93189a3d616)`(const ::`[tensorflow::Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` dimension)` ||\n| [ArgMax](#classtensorflow_1_1ops_1_1_arg_max_1a534c4b1988d0fe5c5150338c42c115b2)`(const ::`[tensorflow::Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` dimension, const `[ArgMax::Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/arg-max/attrs#structtensorflow_1_1ops_1_1_arg_max_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|-------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_arg_max_1a60663c9ffb26ff3cb9dc201881e87a3a) | [Operation](/versions/r2.2/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_arg_max_1a2e1f5ef358c10195be899e08e0a3b46c) | `::`[tensorflow::Output](/versions/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|-------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_arg_max_1ad8106e00a969b5bb5791dd57f0831f26)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_arg_max_1accba38db65bed3a37b5872a4d19b5dae)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_arg_max_1a1620a09f5066f00dc88f6ed91b70cd37)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|----------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------|\n| [OutputType](#classtensorflow_1_1ops_1_1_arg_max_1a25eece835d32a5e813f6bbe1047fc6e8)`(DataType x)` | [Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/arg-max/attrs#structtensorflow_1_1ops_1_1_arg_max_1_1_attrs) |\n\n| ### Structs ||\n|--------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::ArgMax::Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/arg-max/attrs) | Optional attribute setters for [ArgMax](/versions/r2.2/api_docs/cc/class/tensorflow/ops/arg-max#classtensorflow_1_1ops_1_1_arg_max). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### output\n\n```text\n::tensorflow::Output output\n``` \n\nPublic functions\n----------------\n\n### ArgMax\n\n```gdscript\n ArgMax(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input,\n ::tensorflow::Input dimension\n)\n``` \n\n### ArgMax\n\n```gdscript\n ArgMax(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input,\n ::tensorflow::Input dimension,\n const ArgMax::Attrs & attrs\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``` \n\nPublic static functions\n-----------------------\n\n### OutputType\n\n```text\nAttrs OutputType(\n DataType x\n)\n```"]]