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텐서플로우:: 작전:: 다항식
#include <random_ops.h>
다항 분포에서 표본을 추출합니다.
요약
인수:
- 범위: 범위 개체
- 로지트:
[batch_size, num_classes]
모양의 2차원 텐서 . 각 슬라이스 [i, :]
모든 클래스에 대한 정규화되지 않은 로그 확률을 나타냅니다. - num_samples: 0-D. 각 행 조각에 대해 그릴 독립 샘플 수입니다.
선택적 속성( Attrs
참조):
- 시드: 시드 또는 시드2가 0이 아닌 값으로 설정된 경우 내부 난수 생성기는 지정된 시드에 의해 시드됩니다. 그렇지 않으면 임의의 시드가 사용됩니다.
- Seed2: 시드 충돌을 피하기 위한 두 번째 시드입니다.
보고:
-
Output
: [batch_size, num_samples]
형태의 2차원 텐서 . 각 슬라이스 [i, :]
에는 범위가 [0, num_classes)
인 클래스 레이블이 그려져 있습니다.
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 OutputDtype(
DataType x
)
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::Multinomial Class Reference\n\ntensorflow::ops::Multinomial\n============================\n\n`#include \u003crandom_ops.h\u003e`\n\nDraws samples from a multinomial distribution.\n\nSummary\n-------\n\nArguments:\n\n- scope: A [Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- logits: 2-D [Tensor](/versions/r1.15/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor) with shape `[batch_size, num_classes]`. Each slice `[i, :]` represents the unnormalized log probabilities for all classes.\n- num_samples: 0-D. Number of independent samples to draw for each row slice.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/multinomial/attrs#structtensorflow_1_1ops_1_1_multinomial_1_1_attrs)):\n\n- seed: If either seed or seed2 is set to be non-zero, the internal random number generator is seeded by the given seed. Otherwise, a random seed is used.\n- seed2: A second seed to avoid seed collision.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): 2-D [Tensor](/versions/r1.15/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor) with shape `[batch_size, num_samples]`. Each slice `[i, :]` contains the drawn class labels with range `[0, num_classes)`.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [Multinomial](#classtensorflow_1_1ops_1_1_multinomial_1a96d252cc42db1e0cad0a64cb36e8dd17)`(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)` logits, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` num_samples)` ||\n| [Multinomial](#classtensorflow_1_1ops_1_1_multinomial_1a70c0ba099add2db08773240f75d985e3)`(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)` logits, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` num_samples, const `[Multinomial::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/multinomial/attrs#structtensorflow_1_1ops_1_1_multinomial_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|-----------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_multinomial_1a45b39de08c317c75ef554114ab7305f2) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_multinomial_1a6a1eb6aa0ee5680c889a15fcbb64eea1) | `::`[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_multinomial_1ae386d54422fe11f8963cdb5c403c4dd5)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_multinomial_1ab7c86d59414a2504b91b5e9f6a34e7b9)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_multinomial_1a2c35c8fd690941576d7163b605d01678)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|---------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------|\n| [OutputDtype](#classtensorflow_1_1ops_1_1_multinomial_1a52a67bb622d9dc2c672d5b534e498335)`(DataType x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/multinomial/attrs#structtensorflow_1_1ops_1_1_multinomial_1_1_attrs) |\n| [Seed](#classtensorflow_1_1ops_1_1_multinomial_1a5fba481081090883283e3b7e556565ee)`(int64 x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/multinomial/attrs#structtensorflow_1_1ops_1_1_multinomial_1_1_attrs) |\n| [Seed2](#classtensorflow_1_1ops_1_1_multinomial_1ae46c069e65181a29054c3f64ac06d630)`(int64 x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/multinomial/attrs#structtensorflow_1_1ops_1_1_multinomial_1_1_attrs) |\n\n| ### Structs ||\n|------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::Multinomial::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/multinomial/attrs) | Optional attribute setters for [Multinomial](/versions/r1.15/api_docs/cc/class/tensorflow/ops/multinomial#classtensorflow_1_1ops_1_1_multinomial). |\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### Multinomial\n\n```gdscript\n Multinomial(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input logits,\n ::tensorflow::Input num_samples\n)\n``` \n\n### Multinomial\n\n```gdscript\n Multinomial(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input logits,\n ::tensorflow::Input num_samples,\n const Multinomial::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### OutputDtype\n\n```carbon\nAttrs OutputDtype(\n DataType x\n)\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```"]]