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텐서플로우:: 작전:: 랜덤보통
#include <random_ops.h>
정규 분포에서 임의의 값을 출력합니다.
요약
생성된 값은 평균 0과 표준편차 1을 갖습니다.
인수:
- 범위: 범위 개체
- 모양: 출력 텐서의 모양입니다.
- dtype: 출력 유형입니다.
선택적 속성( Attrs
참조):
- Seed:
seed
또는 seed2
0이 아닌 값으로 설정된 경우 난수 생성기는 지정된 시드에 의해 시드됩니다. 그렇지 않으면 무작위 시드에 의해 시드됩니다. - Seed2: 시드 충돌을 피하기 위한 두 번째 시드입니다.
보고:
-
Output
: 임의의 정규 값으로 채워진 지정된 모양의 텐서.
공개 속성
공공 기능
마디
::tensorflow::Node * node() const
operator::tensorflow::Input() const
연산자::텐서플로우::출력
operator::tensorflow::Output() const
공개 정적 함수
시드2
Attrs Seed2(
int64 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::RandomNormal Class Reference\n\ntensorflow::ops::RandomNormal\n=============================\n\n`#include \u003crandom_ops.h\u003e`\n\nOutputs random values from a normal distribution.\n\nSummary\n-------\n\nThe generated values will have mean 0 and standard deviation 1.\n\nArguments:\n\n- scope: A [Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- shape: The shape of the output tensor.\n- dtype: The type of the output.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/random-normal/attrs#structtensorflow_1_1ops_1_1_random_normal_1_1_attrs)):\n\n- seed: If either `seed` or `seed2` are set to be non-zero, the random number generator is seeded by the given seed. Otherwise, it is seeded by a random seed.\n- seed2: A second seed to avoid seed collision.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): A tensor of the specified shape filled with random normal values.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [RandomNormal](#classtensorflow_1_1ops_1_1_random_normal_1a7b41dc701cdee57b719f6abecd04670e)`(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)` shape, DataType dtype)` ||\n| [RandomNormal](#classtensorflow_1_1ops_1_1_random_normal_1a64b0e935c4c1d4a47c6f986121add84c)`(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)` shape, DataType dtype, const `[RandomNormal::Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/random-normal/attrs#structtensorflow_1_1ops_1_1_random_normal_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|-------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_random_normal_1ac47fd518b235cd1e014afceb66d7f306) | [Operation](/versions/r2.2/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_random_normal_1a02c28c9d84b4b07ca4e80b016da0ecd4) | `::`[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_random_normal_1a1a40dd145b64991a7d58c8048c78ebba)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_random_normal_1a87b2066f673bc74872fe7646084dd9ae)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_random_normal_1a21f1b07cb82b038ec549d30297ba37a0)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|--------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------|\n| [Seed](#classtensorflow_1_1ops_1_1_random_normal_1adcde4468e983c17b0051ecad4c5c3cd6)`(int64 x)` | [Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/random-normal/attrs#structtensorflow_1_1ops_1_1_random_normal_1_1_attrs) |\n| [Seed2](#classtensorflow_1_1ops_1_1_random_normal_1a72ff9c5ac216023bca9894fe971ed85b)`(int64 x)` | [Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/random-normal/attrs#structtensorflow_1_1ops_1_1_random_normal_1_1_attrs) |\n\n| ### Structs ||\n|--------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::RandomNormal::Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/random-normal/attrs) | Optional attribute setters for [RandomNormal](/versions/r2.2/api_docs/cc/class/tensorflow/ops/random-normal#classtensorflow_1_1ops_1_1_random_normal). |\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### RandomNormal\n\n```gdscript\n RandomNormal(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input shape,\n DataType dtype\n)\n``` \n\n### RandomNormal\n\n```gdscript\n RandomNormal(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input shape,\n DataType dtype,\n const RandomNormal::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### Seed\n\n```text\nAttrs Seed(\n int64 x\n)\n``` \n\n### Seed2\n\n```text\nAttrs Seed2(\n int64 x\n)\n```"]]