Warning: This API is deprecated and will be removed in a future
version of TensorFlow after
the replacement is stable.
TensorScatterMax
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Apply a sparse update to a tensor taking the element-wise maximum.
Returns a new tensor copied from `tensor` whose values are element-wise maximum between
tensor and updates according to the indices.
>>> tensor = [0, 0, 0, 0, 0, 0, 0, 0]
>>> indices = [[1], [4], [5]]
>>> updates = [1, -1, 1]
>>> tf.tensor_scatter_nd_max(tensor, indices, updates).numpy()
array([0, 1, 0, 0, 0, 1, 0, 0], dtype=int32)
Refer to tf.tensor_scatter_nd_update for more details.
Public Methods
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Output<T>
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asOutput()
Returns the symbolic handle of a tensor.
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static
<T, U extends Number>
TensorScatterMax<T>
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Output<T>
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output()
A new tensor copied from tensor whose values are element-wise maximum between tensor and updates according to the indices.
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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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Public Methods
public
Output<T>
asOutput
()
Returns the symbolic handle of a tensor.
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is
used to obtain a symbolic handle that represents the computation of the input.
Factory method to create a class wrapping a new TensorScatterMax operation.
Parameters
| scope |
current scope |
| tensor |
Tensor to update. |
| indices |
Index tensor. |
| updates |
Updates to scatter into output. |
Returns
- a new instance of TensorScatterMax
public
Output<T>
output
()
A new tensor copied from tensor whose values are element-wise maximum between tensor and updates according to the indices.
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 2023-03-23 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 2023-03-23 UTC."],[],[],null,["# TensorScatterMax\n\npublic final class **TensorScatterMax** \nApply a sparse update to a tensor taking the element-wise maximum.\n\n\nReturns a new tensor copied from \\`tensor\\` whose values are element-wise maximum between\ntensor and updates according to the indices.\n\n\n\\\u003e\\\u003e\\\u003e tensor = \\[0, 0, 0, 0, 0, 0, 0, 0\\]\n\\\u003e\\\u003e\\\u003e indices = \\[\\[1\\], \\[4\\], \\[5\\]\\]\n\\\u003e\\\u003e\\\u003e updates = \\[1, -1, 1\\]\n\\\u003e\\\u003e\\\u003e tf.tensor_scatter_nd_max(tensor, indices, updates).numpy()\narray(\\[0, 1, 0, 0, 0, 1, 0, 0\\], dtype=int32)\n\n\nRefer to [`tf.tensor_scatter_nd_update`](https://www.tensorflow.org/api_docs/python/tf/tensor_scatter_nd_update) for more details.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n### Public Methods\n\n|----------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [Output](/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e | [asOutput](/api_docs/java/org/tensorflow/op/core/TensorScatterMax#asOutput())() Returns the symbolic handle of a tensor. |\n| static \\\u003cT, U extends Number\\\u003e [TensorScatterMax](/api_docs/java/org/tensorflow/op/core/TensorScatterMax)\\\u003cT\\\u003e | [create](/api_docs/java/org/tensorflow/op/core/TensorScatterMax#create(org.tensorflow.op.Scope,%20org.tensorflow.Operand\u003cT\u003e,%20org.tensorflow.Operand\u003cU\u003e,%20org.tensorflow.Operand\u003cT\u003e))([Scope](/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e tensor, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cU\\\u003e indices, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e updates) Factory method to create a class wrapping a new TensorScatterMax operation. |\n| [Output](/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e | [output](/api_docs/java/org/tensorflow/op/core/TensorScatterMax#output())() A new tensor copied from tensor whose values are element-wise maximum between tensor and updates according to the indices. |\n\n### Inherited Methods\n\nFrom class [org.tensorflow.op.PrimitiveOp](/api_docs/java/org/tensorflow/op/PrimitiveOp) \n\n|------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------|\n| final boolean | [equals](/api_docs/java/org/tensorflow/op/PrimitiveOp#equals(java.lang.Object))(Object obj) |\n| final int | [hashCode](/api_docs/java/org/tensorflow/op/PrimitiveOp#hashCode())() |\n| [Operation](/api_docs/java/org/tensorflow/Operation) | [op](/api_docs/java/org/tensorflow/op/PrimitiveOp#op())() Returns the underlying [Operation](/api_docs/java/org/tensorflow/Operation) |\n| final String | [toString](/api_docs/java/org/tensorflow/op/PrimitiveOp#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.Operand](/api_docs/java/org/tensorflow/Operand) \n\n|--------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| abstract [Output](/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e | [asOutput](/api_docs/java/org/tensorflow/Operand#asOutput())() Returns the symbolic handle of a tensor. |\n\nPublic Methods\n--------------\n\n#### public [Output](/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e\n**asOutput**\n()\n\nReturns the symbolic handle of a 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 [TensorScatterMax](/api_docs/java/org/tensorflow/op/core/TensorScatterMax)\\\u003cT\\\u003e\n**create**\n([Scope](/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e tensor, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cU\\\u003e indices, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e updates)\n\nFactory method to create a class wrapping a new TensorScatterMax operation. \n\n##### Parameters\n\n| scope | current scope |\n| tensor | Tensor to update. |\n| indices | Index tensor. |\n| updates | Updates to scatter into output. |\n|---------|---------------------------------|\n\n##### Returns\n\n- a new instance of TensorScatterMax \n\n#### public [Output](/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e\n**output**\n()\n\nA new tensor copied from tensor whose values are element-wise maximum between tensor and updates according to the indices."]]
