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tensor akışı:: işlem:: Çok terimli
#include <random_ops.h>
Çok terimli bir dağılımdan örnekler çizer.
Özet
Argümanlar:
- kapsam: Bir Kapsam nesnesi
- logits:
[batch_size, num_classes]
şeklinde 2-D Tensör . Her dilim [i, :]
tüm sınıflar için normalleştirilmemiş log olasılıklarını temsil eder. - num_samples: 0-D. Her satır dilimi için çizilecek bağımsız örneklerin sayısı.
İsteğe bağlı özellikler (bkz. Attrs
):
- tohum: Tohum veya tohum2'den biri sıfırdan farklı olarak ayarlanırsa, dahili rastgele sayı üreteci verilen tohum tarafından tohumlanır. Aksi takdirde rastgele bir tohum kullanılır.
- tohum2: Tohum çarpışmasını önlemek için ikinci bir tohum.
İade:
-
Output
: [batch_size, num_samples]
şeklinde 2-D Tensör . Her dilim [i, :]
[0, num_classes)
aralığına sahip çizilmiş sınıf etiketlerini içerir.
Genel özellikler
Kamu işlevleri
düğüm
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operatör::tensorflow::Çıktı
operator::tensorflow::Output() const
Genel statik işlevler
ÇıkışDtürü
Attrs OutputDtype(
DataType x
)
Tohum
Attrs Seed(
int64 x
)
Tohum2
Attrs Seed2(
int64 x
)
Aksi belirtilmediği sürece bu sayfanın içeriği Creative Commons Atıf 4.0 Lisansı altında ve kod örnekleri Apache 2.0 Lisansı altında lisanslanmıştır. Ayrıntılı bilgi için Google Developers Site Politikaları'na göz atın. Java, Oracle ve/veya satış ortaklarının tescilli ticari markasıdır.
Son güncelleme tarihi: 2025-07-27 UTC.
[null,null,["Son güncelleme tarihi: 2025-07-27 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/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- logits: 2-D [Tensor](/versions/r2.3/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/r2.3/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/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): 2-D [Tensor](/versions/r2.3/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/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` logits, ::`[tensorflow::Input](/versions/r2.3/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/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` logits, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` num_samples, const `[Multinomial::Attrs](/versions/r2.3/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/r2.3/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_multinomial_1a6a1eb6aa0ee5680c889a15fcbb64eea1) | `::`[tensorflow::Output](/versions/r2.3/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/r2.3/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/r2.3/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/r2.3/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/r2.3/api_docs/cc/struct/tensorflow/ops/multinomial/attrs) | Optional attribute setters for [Multinomial](/versions/r2.3/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```"]]