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flujo tensor:: operaciones:: AleatorioPoissonV2
#include <random_ops.h>
Genera valores aleatorios de las distribuciones de Poisson descritas por tasa.
Resumen
Esta operación utiliza dos algoritmos, según la tasa. Si la tasa >= 10, entonces el algoritmo de Hormann se utiliza para adquirir muestras mediante transformación-rechazo. Consulte http://www.sciencedirect.com/science/article/pii/0167668793909974 .
De lo contrario, el algoritmo de Knuth se utiliza para adquirir muestras multiplicando variables aleatorias uniformes. Véase Donald E. Knuth (1969). Algoritmos seminuméricos. El arte de la programación informática, volumen 2. Addison Wesley
Argumentos:
- alcance: un objeto de alcance
- forma: tensor entero 1-D. Forma de muestras independientes para extraer de cada distribución descrita por los parámetros de forma dados en tasa.
- tasa: tensor en el que cada escalar es un parámetro de "tasa" que describe la distribución de Poisson asociada.
Atributos opcionales (ver Attrs
):
- semilla: si
seed
o seed2
se configuran como distintos de cero, el generador de números aleatorios se siembra con la semilla dada. De lo contrario, se siembra con una semilla aleatoria. - semilla2: una segunda semilla para evitar la colisión de semillas.
Devoluciones:
-
Output
: Un tensor con forma shape + shape(rate)
. Cada segmento [:, ..., :, i0, i1, ...iN]
contiene las muestras extraídas para rate[i0, i1, ...iN]
.
Funciones estáticas públicas |
---|
Dtype (DataType x) | |
Seed (int64 x) | |
Seed2 (int64 x) | |
Atributos públicos
Funciones públicas
nodo
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operador::tensorflow::Salida
operator::tensorflow::Output() const
Funciones estáticas públicas
tipo D
Attrs Dtype(
DataType x
)
Semilla
Attrs Seed(
int64 x
)
Semilla2
Attrs Seed2(
int64 x
)
A menos que se indique lo contrario, el contenido de esta página está sujeto a la licencia Reconocimiento 4.0 de Creative Commons y las muestras de código están sujetas a la licencia Apache 2.0. Para obtener más información, consulta las políticas del sitio web de Google Developers. Java es una marca registrada de Oracle o sus afiliados.
Última actualización: 2025-07-27 (UTC).
[null,null,["Última actualización: 2025-07-27 (UTC)."],[],[],null,["# tensorflow::ops::RandomPoissonV2 Class Reference\n\ntensorflow::ops::RandomPoissonV2\n================================\n\n`#include \u003crandom_ops.h\u003e`\n\nOutputs random values from the Poisson distribution(s) described by rate.\n\nSummary\n-------\n\nThis op uses two algorithms, depending on rate. If rate \\\u003e= 10, then the algorithm by Hormann is used to acquire samples via transformation-rejection. See \u003chttp://www.sciencedirect.com/science/article/pii/0167668793909974\u003e.\n\nOtherwise, Knuth's algorithm is used to acquire samples via multiplying uniform random variables. See Donald E. Knuth (1969). Seminumerical Algorithms. The Art of Computer Programming, Volume 2. Addison Wesley\n\nArguments:\n\n- scope: A [Scope](/versions/r2.1/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- shape: 1-D integer tensor. Shape of independent samples to draw from each distribution described by the shape parameters given in rate.\n- rate: A tensor in which each scalar is a \"rate\" parameter describing the associated poisson distribution.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/random-poisson-v2/attrs#structtensorflow_1_1ops_1_1_random_poisson_v2_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/r2.1/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): A tensor with shape `shape + shape(rate)`. Each slice `[:, ..., :, i0, i1, ...iN]` contains the samples drawn for `rate[i0, i1, ...iN]`.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [RandomPoissonV2](#classtensorflow_1_1ops_1_1_random_poisson_v2_1ac6781b746b5d655d44cf7298d0ec0e8d)`(const ::`[tensorflow::Scope](/versions/r2.1/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` shape, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` rate)` ||\n| [RandomPoissonV2](#classtensorflow_1_1ops_1_1_random_poisson_v2_1affe491853f03c22d0d69fe155380690d)`(const ::`[tensorflow::Scope](/versions/r2.1/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` shape, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` rate, const `[RandomPoissonV2::Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/random-poisson-v2/attrs#structtensorflow_1_1ops_1_1_random_poisson_v2_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|-----------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_random_poisson_v2_1a8a6d22a45ef402122008fd37ae60584a) | [Operation](/versions/r2.1/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_random_poisson_v2_1aacc4e0f70e7215919fd2ed050cc778ec) | `::`[tensorflow::Output](/versions/r2.1/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|-----------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_random_poisson_v2_1a2c4c1c5791ce65536c0711c345c5104f)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_random_poisson_v2_1a680111c81759da8f485b7c57830a97c8)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_random_poisson_v2_1ab0e8e0cee5576ad5d628eb26db934fc6)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|---------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------|\n| [Dtype](#classtensorflow_1_1ops_1_1_random_poisson_v2_1a16ea2843b7cb14092e392a1634d5f9d3)`(DataType x)` | [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/random-poisson-v2/attrs#structtensorflow_1_1ops_1_1_random_poisson_v2_1_1_attrs) |\n| [Seed](#classtensorflow_1_1ops_1_1_random_poisson_v2_1a4923276f993adff27a39549f725e140c)`(int64 x)` | [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/random-poisson-v2/attrs#structtensorflow_1_1ops_1_1_random_poisson_v2_1_1_attrs) |\n| [Seed2](#classtensorflow_1_1ops_1_1_random_poisson_v2_1a3db3d3b1dcf6fd61014a43d46719c992)`(int64 x)` | [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/random-poisson-v2/attrs#structtensorflow_1_1ops_1_1_random_poisson_v2_1_1_attrs) |\n\n| ### Structs ||\n|---------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::RandomPoissonV2::Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/random-poisson-v2/attrs) | Optional attribute setters for [RandomPoissonV2](/versions/r2.1/api_docs/cc/class/tensorflow/ops/random-poisson-v2#classtensorflow_1_1ops_1_1_random_poisson_v2). |\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### RandomPoissonV2\n\n```gdscript\n RandomPoissonV2(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input shape,\n ::tensorflow::Input rate\n)\n``` \n\n### RandomPoissonV2\n\n```gdscript\n RandomPoissonV2(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input shape,\n ::tensorflow::Input rate,\n const RandomPoissonV2::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### Dtype\n\n```carbon\nAttrs Dtype(\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```"]]