AccumulateN
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İçeriği tercihlerinize göre kaydedin ve kategorilere ayırın.
Tensör listesinin öğe bazında toplamını döndürür.
`tf.accumulate_n_v2` tf.add_n ile aynı işlemi gerçekleştirir ancak toplama işlemine başlamadan önce tüm girdilerinin hazır olmasını beklemez. Minimum geçici depolama, giriş boyutundan ziyade çıkış boyutuyla orantılı olduğundan, girişler farklı zamanlarda hazırsa bu, bellekten tasarruf sağlayabilir.
Orijinal 'accumulate_n'den farklı olarak, 'accumulate_n_v2' türevlenebilirdir.
"Girişler"in öğeleriyle aynı şekil ve türde bir "Tensör" döndürür.
Sabitler
| Sicim | OP_NAME | Bu operasyonun TensorFlow çekirdek motoru tarafından bilinen adı |
Kalıtsal Yöntemler
Java.lang.Object sınıfından | boolean | eşittir (Nesne arg0) |
| son Sınıf<?> | getClass () |
| int | hash kodu () |
| son boşluk | bildir () |
| son boşluk | tümünü bildir () |
| Sicim | toString () |
| son boşluk | bekle (uzun arg0, int arg1) |
| son boşluk | bekle (uzun arg0) |
| son boşluk | Beklemek () |
org.tensorflow.Operand arayüzünden | özet Çıkış <T> | |
| soyut T | |
| soyut Şekil | şekil () Bu işlenenin Output tarafından başvurulan tensörün (muhtemelen kısmen bilinen) şeklini döndürür. |
| soyut Sınıf<T> | tip () Bu işlenenin tensör türünü döndürür |
Sabitler
genel statik son Dize OP_NAME
Bu operasyonun TensorFlow çekirdek motoru tarafından bilinen adı
Sabit Değer: "AccumulateNV2"
Genel Yöntemler
genel Çıkış <T> asOutput ()
Tensörün sembolik tutamacını döndürür.
TensorFlow işlemlerinin girdileri, başka bir TensorFlow işleminin çıktılarıdır. Bu yöntem, girişin hesaplanmasını temsil eden sembolik bir tanıtıcı elde etmek için kullanılır.
Yeni bir AccumulateN işlemini saran bir sınıf oluşturmaya yönelik fabrika yöntemi.
Parametreler
| kapsam | mevcut kapsam |
|---|
| girişler | Her biri aynı şekil ve türde olan 'Tensor' nesnelerinin listesi. |
|---|
| şekil | 'Girdiler' elemanlarının şekli. |
|---|
İadeler
- AccumulateN'in yeni bir örneği
genel Çıkış <T> toplam ()
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: 2025-07-25 UTC.
[null,null,["Son güncelleme tarihi: 2025-07-25 UTC."],[],[],null,["# AccumulateN\n\npublic final class **AccumulateN** \nReturns the element-wise sum of a list of tensors.\n\n\n\\`tf.accumulate_n_v2\\` performs the same operation as [`tf.add_n`](https://www.tensorflow.org/api_docs/python/tf/math/add_n), but does not\nwait for all of its inputs to be ready before beginning to sum. This can\nsave memory if inputs are ready at different times, since minimum temporary\nstorage is proportional to the output size rather than the inputs size.\n\n\nUnlike the original \\`accumulate_n\\`, \\`accumulate_n_v2\\` is differentiable.\n\n\nReturns a \\`Tensor\\` of same shape and type as the elements of \\`inputs\\`.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n### Constants\n\n|--------|--------------------------------------------------------------------------|---------------------------------------------------------|\n| String | [OP_NAME](/jvm/api_docs/java/org/tensorflow/op/math/AccumulateN#OP_NAME) | The name of this op, as known by TensorFlow core engine |\n\n### Public Methods\n\n|--------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e | [asOutput](/jvm/api_docs/java/org/tensorflow/op/math/AccumulateN#asOutput())() Returns the symbolic handle of the tensor. |\n| static \\\u003cT extends [TType](/jvm/api_docs/java/org/tensorflow/types/family/TType)\\\u003e [AccumulateN](/jvm/api_docs/java/org/tensorflow/op/math/AccumulateN)\\\u003cT\\\u003e | [create](/jvm/api_docs/java/org/tensorflow/op/math/AccumulateN#create(org.tensorflow.op.Scope, java.lang.Iterable\u003corg.tensorflow.Operand\u003cT\u003e\u003e, org.tensorflow.ndarray.Shape))([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, Iterable\\\u003c[Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e\\\u003e inputs, [Shape](/jvm/api_docs/java/org/tensorflow/ndarray/Shape) shape) Factory method to create a class wrapping a new AccumulateN operation. |\n| [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e | [sum](/jvm/api_docs/java/org/tensorflow/op/math/AccumulateN#sum())() |\n\n### Inherited Methods\n\nFrom class [org.tensorflow.op.RawOp](/jvm/api_docs/java/org/tensorflow/op/RawOp) \n\n|----------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| final boolean | [equals](/jvm/api_docs/java/org/tensorflow/op/RawOp#equals(java.lang.Object))(Object obj) |\n| final int | [hashCode](/jvm/api_docs/java/org/tensorflow/op/RawOp#hashCode())() |\n| [Operation](/jvm/api_docs/java/org/tensorflow/Operation) | [op](/jvm/api_docs/java/org/tensorflow/op/RawOp#op())() Return this unit of computation as a single [Operation](/jvm/api_docs/java/org/tensorflow/Operation). |\n| final String | [toString](/jvm/api_docs/java/org/tensorflow/op/RawOp#toString())() |\n\nFrom class java.lang.Object \n\n|------------------|---------------------------|\n| boolean | equals(Object arg0) |\n| final Class\\\u003c?\\\u003e | getClass() |\n| int | hashCode() |\n| final void | notify() |\n| final void | notifyAll() |\n| String | toString() |\n| final void | wait(long arg0, int arg1) |\n| final void | wait(long arg0) |\n| final void | wait() |\n\nFrom interface [org.tensorflow.op.Op](/jvm/api_docs/java/org/tensorflow/op/Op) \n\n|-----------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| abstract [ExecutionEnvironment](/jvm/api_docs/java/org/tensorflow/ExecutionEnvironment) | [env](/jvm/api_docs/java/org/tensorflow/op/Op#env())() Return the execution environment this op was created in. |\n| abstract [Operation](/jvm/api_docs/java/org/tensorflow/Operation) | [op](/jvm/api_docs/java/org/tensorflow/op/Op#op())() Return this unit of computation as a single [Operation](/jvm/api_docs/java/org/tensorflow/Operation). |\n\nFrom interface [org.tensorflow.Operand](/jvm/api_docs/java/org/tensorflow/Operand) \n\n|-------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| abstract [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e | [asOutput](/jvm/api_docs/java/org/tensorflow/Operand#asOutput())() Returns the symbolic handle of the tensor. |\n| abstract T | [asTensor](/jvm/api_docs/java/org/tensorflow/Operand#asTensor())() Returns the tensor at this operand. |\n| abstract [Shape](/jvm/api_docs/java/org/tensorflow/ndarray/Shape) | [shape](/jvm/api_docs/java/org/tensorflow/Operand#shape())() Returns the (possibly partially known) shape of the tensor referred to by the [Output](/jvm/api_docs/java/org/tensorflow/Output) of this operand. |\n| abstract Class\\\u003cT\\\u003e | [type](/jvm/api_docs/java/org/tensorflow/Operand#type())() Returns the tensor type of this operand |\n\nFrom interface [org.tensorflow.ndarray.Shaped](/jvm/api_docs/java/org/tensorflow/ndarray/Shaped) \n\n|-------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------|\n| abstract int | [rank](/jvm/api_docs/java/org/tensorflow/ndarray/Shaped#rank())() |\n| abstract [Shape](/jvm/api_docs/java/org/tensorflow/ndarray/Shape) | [shape](/jvm/api_docs/java/org/tensorflow/ndarray/Shaped#shape())() |\n| abstract long | [size](/jvm/api_docs/java/org/tensorflow/ndarray/Shaped#size())() Computes and returns the total size of this container, in number of values. |\n\nConstants\n---------\n\n#### public static final String\n**OP_NAME**\n\nThe name of this op, as known by TensorFlow core engine \nConstant Value: \"AccumulateNV2\"\n\nPublic Methods\n--------------\n\n#### public [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e\n**asOutput**\n()\n\nReturns the symbolic handle of the tensor.\n\nInputs to TensorFlow operations are outputs of another TensorFlow operation. This method is\nused to obtain a symbolic handle that represents the computation of the input.\n\n\u003cbr /\u003e\n\n#### public static [AccumulateN](/jvm/api_docs/java/org/tensorflow/op/math/AccumulateN)\\\u003cT\\\u003e\n**create**\n([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, Iterable\\\u003c[Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e\\\u003e inputs, [Shape](/jvm/api_docs/java/org/tensorflow/ndarray/Shape) shape)\n\nFactory method to create a class wrapping a new AccumulateN operation. \n\n##### Parameters\n\n| scope | current scope |\n| inputs | A list of \\`Tensor\\` objects, each with same shape and type. |\n| shape | Shape of elements of \\`inputs\\`. |\n|--------|--------------------------------------------------------------|\n\n##### Returns\n\n- a new instance of AccumulateN \n\n#### public [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e\n**sum**\n()\n\n\u003cbr /\u003e"]]
