Warning: This API is deprecated and will be removed in a future
version of TensorFlow after
the replacement is stable.
MirrorPadGrad
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Gradient op for `MirrorPad` op. This op folds a mirror-padded tensor.
This operation folds the padded areas of `input` by `MirrorPad` according to the
`paddings` you specify. `paddings` must be the same as `paddings` argument
given to the corresponding `MirrorPad` op.
The folded size of each dimension D of the output is:
`input.dim_size(D) - paddings(D, 0) - paddings(D, 1)`
For example:
# 't' is [[1, 2, 3], [4, 5, 6], [7, 8, 9]].
# 'paddings' is [[0, 1]], [0, 1]].
# 'mode' is SYMMETRIC.
# rank of 't' is 2.
pad(t, paddings) ==> [[ 1, 5]
[11, 28]]
Inherited Methods
From class
java.lang.Object
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boolean
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Class<?>
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getClass()
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int
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hashCode()
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final
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notify()
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notifyAll()
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wait()
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Public Methods
public
Output<T>
asOutput
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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 MirrorPadGrad operation.
Parameters
| scope |
current scope |
| input |
The input tensor to be folded. |
| paddings |
A two-column matrix specifying the padding sizes. The number of
rows must be the same as the rank of `input`. |
| mode |
The mode used in the `MirrorPad` op. |
Returns
- a new instance of MirrorPadGrad
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Last updated 2022-02-12 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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2022-02-12 UTC."],[],[],null,["# MirrorPadGrad\n\npublic final class **MirrorPadGrad** \nGradient op for \\`MirrorPad\\` op. This op folds a mirror-padded tensor.\n\n\nThis operation folds the padded areas of \\`input\\` by \\`MirrorPad\\` according to the\n\\`paddings\\` you specify. \\`paddings\\` must be the same as \\`paddings\\` argument\ngiven to the corresponding \\`MirrorPad\\` op.\n\n\nThe folded size of each dimension D of the output is:\n\n\n\\`input.dim_size(D) - paddings(D, 0) - paddings(D, 1)\\`\n\n\nFor example: \n\n # 't' is [[1, 2, 3], [4, 5, 6], [7, 8, 9]].\n # 'paddings' is [[0, 1]], [0, 1]].\n # 'mode' is SYMMETRIC.\n # rank of 't' is 2.\n pad(t, paddings) ==> [[ 1, 5]\n [11, 28]]\n \n\u003cbr /\u003e\n\n\u003cbr /\u003e\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/MirrorPadGrad#asOutput())() Returns the symbolic handle of a tensor. |\n| static \\\u003cT, U extends Number\\\u003e [MirrorPadGrad](/api_docs/java/org/tensorflow/op/core/MirrorPadGrad)\\\u003cT\\\u003e | [create](/api_docs/java/org/tensorflow/op/core/MirrorPadGrad#create(org.tensorflow.op.Scope,%20org.tensorflow.Operand\u003cT\u003e,%20org.tensorflow.Operand\u003cU\u003e,%20java.lang.String))([Scope](/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e input, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cU\\\u003e paddings, String mode) Factory method to create a class wrapping a new MirrorPadGrad operation. |\n| [Output](/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e | [output](/api_docs/java/org/tensorflow/op/core/MirrorPadGrad#output())() The folded tensor. |\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 [MirrorPadGrad](/api_docs/java/org/tensorflow/op/core/MirrorPadGrad)\\\u003cT\\\u003e\n**create**\n([Scope](/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e input, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cU\\\u003e paddings, String mode)\n\nFactory method to create a class wrapping a new MirrorPadGrad operation. \n\n##### Parameters\n\n| scope | current scope |\n| input | The input tensor to be folded. |\n| paddings | A two-column matrix specifying the padding sizes. The number of rows must be the same as the rank of \\`input\\`. |\n| mode | The mode used in the \\`MirrorPad\\` op. |\n|----------|-----------------------------------------------------------------------------------------------------------------|\n\n##### Returns\n\n- a new instance of MirrorPadGrad \n\n#### public [Output](/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e\n**output**\n()\n\nThe folded tensor."]]
