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#include <random_ops.h> Genera números enteros aleatorios a partir de una distribución uniforme.
Resumen
Los valores generados son enteros uniformes en el rango [minval, maxval) . El límite inferior minval se incluye en el rango, mientras que el límite superior maxval está excluido.
Los enteros aleatorios están ligeramente sesgados a menos que maxval - minval sea una potencia exacta de dos. El sesgo es pequeño para valores de maxval - minval significativamente más pequeños que el rango de la salida (ya sea 2^32 o 2^64 ).
Argumentos:
- alcance: un objeto de alcance
- forma: la forma del tensor de salida.
- minval: 0-D. Límite inferior inclusivo en los enteros generados.
- maxval: 0-D. Límite superior exclusivo en los enteros generados.
Atributos opcionales (consulte Attrs ):
- semilla: si
seed o seed2 se establecen en un valor distinto de cero, el generador de números aleatorios se sembró con la semilla dada. De lo contrario, es sembrado por una semilla aleatoria. - seed2: Una segunda semilla para evitar la colisión de semillas.
Devoluciones:
-
Output : un tensor de la forma especificada lleno de enteros aleatorios uniformes.
Funciones estáticas públicas |
|---|
Seed (int64 x) | |
Seed2 (int64 x) | |
Atributos públicos
Funciones publicas
Funciones estáticas públicas
Salvo que se indique lo contrario, el contenido de esta página está sujeto a la licencia Atribución 4.0 de Creative Commons, y los ejemplos de código están sujetos a la licencia Apache 2.0. Para obtener más información, consulta las políticas del sitio de Google Developers. Java es una marca registrada de Oracle o sus afiliados.
Última actualización: 2020-04-20 (UTC)
[null,null,["Última actualización: 2020-04-20 (UTC)"],[],[],null,["# tensorflow::ops::RandomUniformInt Class Reference\n\ntensorflow::ops::RandomUniformInt\n=================================\n\n`#include \u003crandom_ops.h\u003e`\n\nOutputs random integers from a uniform distribution.\n\nSummary\n-------\n\nThe generated values are uniform integers in the range `[minval, maxval)`. The lower bound `minval` is included in the range, while the upper bound `maxval` is excluded.\n\nThe random integers are slightly biased unless `maxval - minval` is an exact power of two. The bias is small for values of `maxval - minval` significantly smaller than the range of the output (either `2^32` or `2^64`).\n\nArguments:\n\n- scope: A [Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- shape: The shape of the output tensor.\n- minval: 0-D. Inclusive lower bound on the generated integers.\n- maxval: 0-D. Exclusive upper bound on the generated integers.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/random-uniform-int/attrs#structtensorflow_1_1ops_1_1_random_uniform_int_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/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): A tensor of the specified shape filled with uniform random integers.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [RandomUniformInt](#classtensorflow_1_1ops_1_1_random_uniform_int_1a7b0f0233dbf65c942cf3918e6d82450f)`(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)` shape, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` minval, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` maxval)` ||\n| [RandomUniformInt](#classtensorflow_1_1ops_1_1_random_uniform_int_1ae9a8b67a0592c64aeadb9c28b8c94d11)`(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)` shape, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` minval, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` maxval, const `[RandomUniformInt::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/random-uniform-int/attrs#structtensorflow_1_1ops_1_1_random_uniform_int_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_random_uniform_int_1a71afc20cf5a867f5f4e616265fbdc245) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_random_uniform_int_1ac0cdf1a4f133d9b49df247840a40ff7f) | `::`[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_random_uniform_int_1a49b64e7338480155d405c8857052dba8)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_random_uniform_int_1ab20d5478b1e7f66bec1208d955bc485f)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_random_uniform_int_1a3a4c37bc4f79b459f17c8d6d01e4024c)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|-------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------|\n| [Seed](#classtensorflow_1_1ops_1_1_random_uniform_int_1a62449aa6617d6d92891fbd702315d3d6)`(int64 x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/random-uniform-int/attrs#structtensorflow_1_1ops_1_1_random_uniform_int_1_1_attrs) |\n| [Seed2](#classtensorflow_1_1ops_1_1_random_uniform_int_1a88e15830d1509a59f35301ecfe8aee1c)`(int64 x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/random-uniform-int/attrs#structtensorflow_1_1ops_1_1_random_uniform_int_1_1_attrs) |\n\n| ### Structs ||\n|------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::RandomUniformInt::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/random-uniform-int/attrs) | Optional attribute setters for [RandomUniformInt](/versions/r1.15/api_docs/cc/class/tensorflow/ops/random-uniform-int#classtensorflow_1_1ops_1_1_random_uniform_int). |\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### RandomUniformInt\n\n```gdscript\n RandomUniformInt(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input shape,\n ::tensorflow::Input minval,\n ::tensorflow::Input maxval\n)\n``` \n\n### RandomUniformInt\n\n```gdscript\n RandomUniformInt(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input shape,\n ::tensorflow::Input minval,\n ::tensorflow::Input maxval,\n const RandomUniformInt::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```"]]
