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#include <random_ops.h> Restituisce numeri interi casuali da una distribuzione uniforme.
Riepilogo
I valori generati sono numeri interi uniformi nell'intervallo [minval, maxval) . Il minval del limite inferiore è incluso nell'intervallo, mentre il maxval del limite superiore è escluso.
Gli interi casuali sono leggermente distorti a meno che maxval - minval non sia una potenza esatta di due. Il bias è piccolo per valori di maxval - minval significativamente inferiori all'intervallo dell'output ( 2^32 o 2^64 ).
Argomenti:
- scope: un oggetto Scope
- forma: la forma del tensore di uscita.
- valore minimo: 0-D. Limite inferiore inclusivo sugli interi generati.
- valore massimo: 0-D. Limite superiore esclusivo sugli interi generati.
Attributi facoltativi (vedi Attrs ):
- seme: se
seed o seed2 sono impostati su un valore diverso da zero, il generatore di numeri casuali viene seminato dal seme specificato. Altrimenti, viene seminato da un seme casuale. - seed2: un secondo seme per evitare la collisione del seme.
Resi:
-
Output : un tensore della forma specificata riempito con numeri interi casuali uniformi.
Funzioni pubbliche statiche |
|---|
Seed (int64 x) | |
Seed2 (int64 x) | |
Attributi pubblici
Funzioni pubbliche
Funzioni pubbliche statiche
Salvo quando diversamente specificato, i contenuti di questa pagina sono concessi in base alla licenza Creative Commons Attribution 4.0, mentre gli esempi di codice sono concessi in base alla licenza Apache 2.0. Per ulteriori dettagli, consulta le norme del sito di Google Developers. Java è un marchio registrato di Oracle e/o delle sue consociate.
Ultimo aggiornamento 2025-07-26 UTC.
[null,null,["Ultimo aggiornamento 2025-07-26 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```"]]
