SparseAddGrad
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The gradient operator for the SparseAdd op.
The SparseAdd op calculates A + B, where A, B, and the sum are all represented
as `SparseTensor` objects. This op takes in the upstream gradient w.r.t.
non-empty values of the sum, and outputs the gradients w.r.t. the non-empty
values of A and B.
Constants
| String |
OP_NAME |
The name of this op, as known by TensorFlow core engine |
Inherited Methods
From class
java.lang.Object
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boolean
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equals(Object arg0)
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final
Class<?>
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getClass()
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int
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hashCode()
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final
void
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notify()
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final
void
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notifyAll()
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String
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toString()
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final
void
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wait(long arg0, int arg1)
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final
void
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wait(long arg0)
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final
void
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wait()
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Constants
public
static
final
String
OP_NAME
The name of this op, as known by TensorFlow core engine
Constant Value:
"SparseAddGrad"
Public Methods
public
Output<T>
aValGrad
()
1-D with shape `[nnz(A)]`. The gradient with respect to the
non-empty values of A.
public
Output<T>
bValGrad
()
1-D with shape `[nnz(B)]`. The gradient with respect to the
non-empty values of B.
Factory method to create a class wrapping a new SparseAddGrad operation.
Parameters
| scope |
current scope |
| backpropValGrad |
1-D with shape `[nnz(sum)]`. The gradient with respect to
the non-empty values of the sum. |
| aIndices |
2-D. The `indices` of the `SparseTensor` A, size `[nnz(A), ndims]`. |
| bIndices |
2-D. The `indices` of the `SparseTensor` B, size `[nnz(B), ndims]`. |
| sumIndices |
2-D. The `indices` of the sum `SparseTensor`, size
`[nnz(sum), ndims]`. |
Returns
- a new instance of SparseAddGrad
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2021-11-29 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2021-11-29 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"]]
