SparseAddGrad
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SparseAdd işlemi için gradyan operatörü.
SparseAdd işlemi A + B'yi hesaplar; burada A, B ve toplam, "SparseTensor" nesneleri olarak temsil edilir. Bu işlem, toplamın boş olmayan değerlerine göre yukarı akış degradesini alır ve A ve B'nin boş olmayan değerlerine göre degradelerin çıktısını alır.
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 () |
Sabitler
genel statik son Dize OP_NAME
Bu operasyonun TensorFlow çekirdek motoru tarafından bilinen adı
Sabit Değer: "SparseAddGrad"
Genel Yöntemler
genel Çıkış <T> aValGrad ()
'[nnz(A)]' şeklinde 1-D. A'nın boş olmayan değerlerine göre gradyan.
genel Çıkış <T> bValGrad ()
'[nnz(B)]' şeklinde 1-D. B'nin boş olmayan değerlerine göre gradyan.
Yeni bir SparseAddGrad işlemini saran bir sınıf oluşturmaya yönelik fabrika yöntemi.
Parametreler
| kapsam | mevcut kapsam |
|---|
| backpropValGrad | '[nnz(sum)]' şeklinde 1-D. Toplamın boş olmayan değerlerine göre gradyan. |
|---|
| aEndeksler | 2-D. 'SparseTensor' A'nın 'indeksleri', boyut '[nnz(A), ndims]'. |
|---|
| b Endeksleri | 2-D. 'SparseTensor' B'nin 'indeksleri', boyut '[nnz(B), ndims]'. |
|---|
| toplam Endeksler | 2-D. 'SparseTensor' toplamının 'indeksleri', boyut '[nnz(sum), ndims]'. |
|---|
İadeler
- SparseAddGrad'ın yeni bir örneği
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: 2025-07-26 UTC.
[null,null,["Son güncelleme tarihi: 2025-07-26 UTC."],[],[],null,["# SparseAddGrad\n\npublic final class **SparseAddGrad** \nThe gradient operator for the SparseAdd op.\n\n\nThe SparseAdd op calculates A + B, where A, B, and the sum are all represented\nas \\`SparseTensor\\` objects. This op takes in the upstream gradient w.r.t.\nnon-empty values of the sum, and outputs the gradients w.r.t. the non-empty\nvalues of A and B.\n\n\u003cbr /\u003e\n\n### Constants\n\n|--------|------------------------------------------------------------------------------|---------------------------------------------------------|\n| String | [OP_NAME](/jvm/api_docs/java/org/tensorflow/op/sparse/SparseAddGrad#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 | [aValGrad](/jvm/api_docs/java/org/tensorflow/op/sparse/SparseAddGrad#aValGrad())() 1-D with shape \\`\\[nnz(A)\\]\\`. |\n| [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e | [bValGrad](/jvm/api_docs/java/org/tensorflow/op/sparse/SparseAddGrad#bValGrad())() 1-D with shape \\`\\[nnz(B)\\]\\`. |\n| static \\\u003cT extends [TType](/jvm/api_docs/java/org/tensorflow/types/family/TType)\\\u003e [SparseAddGrad](/jvm/api_docs/java/org/tensorflow/op/sparse/SparseAddGrad)\\\u003cT\\\u003e | [create](/jvm/api_docs/java/org/tensorflow/op/sparse/SparseAddGrad#create(org.tensorflow.op.Scope, org.tensorflow.Operand\u003cT\u003e, org.tensorflow.Operand\u003corg.tensorflow.types.TInt64\u003e, org.tensorflow.Operand\u003corg.tensorflow.types.TInt64\u003e, org.tensorflow.Operand\u003corg.tensorflow.types.TInt64\u003e))([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e backpropValGrad, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TInt64](/jvm/api_docs/java/org/tensorflow/types/TInt64)\\\u003e aIndices, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TInt64](/jvm/api_docs/java/org/tensorflow/types/TInt64)\\\u003e bIndices, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TInt64](/jvm/api_docs/java/org/tensorflow/types/TInt64)\\\u003e sumIndices) Factory method to create a class wrapping a new SparseAddGrad operation. |\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\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: \"SparseAddGrad\"\n\nPublic Methods\n--------------\n\n#### public [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e\n**aValGrad**\n()\n\n1-D with shape \\`\\[nnz(A)\\]\\`. The gradient with respect to the\nnon-empty values of A. \n\n#### public [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e\n**bValGrad**\n()\n\n1-D with shape \\`\\[nnz(B)\\]\\`. The gradient with respect to the\nnon-empty values of B. \n\n#### public static [SparseAddGrad](/jvm/api_docs/java/org/tensorflow/op/sparse/SparseAddGrad)\\\u003cT\\\u003e\n**create**\n([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e backpropValGrad, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TInt64](/jvm/api_docs/java/org/tensorflow/types/TInt64)\\\u003e aIndices, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TInt64](/jvm/api_docs/java/org/tensorflow/types/TInt64)\\\u003e bIndices, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TInt64](/jvm/api_docs/java/org/tensorflow/types/TInt64)\\\u003e sumIndices)\n\nFactory method to create a class wrapping a new SparseAddGrad operation. \n\n##### Parameters\n\n| scope | current scope |\n| backpropValGrad | 1-D with shape \\`\\[nnz(sum)\\]\\`. The gradient with respect to the non-empty values of the sum. |\n| aIndices | 2-D. The \\`indices\\` of the \\`SparseTensor\\` A, size \\`\\[nnz(A), ndims\\]\\`. |\n| bIndices | 2-D. The \\`indices\\` of the \\`SparseTensor\\` B, size \\`\\[nnz(B), ndims\\]\\`. |\n| sumIndices | 2-D. The \\`indices\\` of the sum \\`SparseTensor\\`, size \\`\\[nnz(sum), ndims\\]\\`. |\n|-----------------|------------------------------------------------------------------------------------------------|\n\n##### Returns\n\n- a new instance of SparseAddGrad"]]
