Warning: This API is deprecated and will be removed in a future
version of TensorFlow after
the replacement is stable.
ExtractVolumePatches
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Extract `patches` from `input` and put them in the `"depth"` output dimension. 3D extension of `extract_image_patches`.
Public Methods
Output<T>
|
asOutput()
Returns the symbolic handle of a tensor.
|
static
<T extends Number>
ExtractVolumePatches<T>
|
create( Scope scope, Operand<T> input, List<Long> ksizes, List<Long> strides, String padding)
Factory method to create a class wrapping a new ExtractVolumePatches operation.
|
Output<T>
|
patches()
5-D Tensor with shape `[batch, out_planes, out_rows, out_cols,
ksize_planes * ksize_rows * ksize_cols * depth]` containing patches
with size `ksize_planes x ksize_rows x ksize_cols x depth` vectorized
in the "depth" dimension.
|
Inherited Methods
From class
java.lang.Object
boolean
|
equals(Object arg0)
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final
Class<?>
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getClass()
|
int
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hashCode()
|
final
void
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notify()
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final
void
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notifyAll()
|
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()
|
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 ExtractVolumePatches operation.
Parameters
scope |
current scope |
input |
5-D Tensor with shape `[batch, in_planes, in_rows, in_cols, depth]`. |
ksizes |
The size of the sliding window for each dimension of `input`. |
strides |
1-D of length 5. How far the centers of two consecutive patches are in
`input`. Must be: `[1, stride_planes, stride_rows, stride_cols, 1]`. |
padding |
The type of padding algorithm to use.
The size-related attributes are specified as follows:
ksizes = [1, ksize_planes, ksize_rows, ksize_cols, 1]
strides = [1, stride_planes, strides_rows, strides_cols, 1]
|
Returns
- a new instance of ExtractVolumePatches
public
Output<T>
patches
()
5-D Tensor with shape `[batch, out_planes, out_rows, out_cols,
ksize_planes * ksize_rows * ksize_cols * depth]` containing patches
with size `ksize_planes x ksize_rows x ksize_cols x depth` vectorized
in the "depth" dimension. Note `out_planes`, `out_rows` and `out_cols`
are the dimensions of the output patches.
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 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,["# ExtractVolumePatches\n\npublic final class **ExtractVolumePatches** \nExtract \\`patches\\` from \\`input\\` and put them in the \\`\"depth\"\\` output dimension. 3D extension of \\`extract_image_patches\\`. \n\n### Public Methods\n\n|---------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [Output](/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e | [asOutput](/api_docs/java/org/tensorflow/op/core/ExtractVolumePatches#asOutput())() Returns the symbolic handle of a tensor. |\n| static \\\u003cT extends Number\\\u003e [ExtractVolumePatches](/api_docs/java/org/tensorflow/op/core/ExtractVolumePatches)\\\u003cT\\\u003e | [create](/api_docs/java/org/tensorflow/op/core/ExtractVolumePatches#create(org.tensorflow.op.Scope,%20org.tensorflow.Operand\u003cT\u003e,%20java.util.List\u003cjava.lang.Long\u003e,%20java.util.List\u003cjava.lang.Long\u003e,%20java.lang.String))([Scope](/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e input, List\\\u003cLong\\\u003e ksizes, List\\\u003cLong\\\u003e strides, String padding) Factory method to create a class wrapping a new ExtractVolumePatches operation. |\n| [Output](/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e | [patches](/api_docs/java/org/tensorflow/op/core/ExtractVolumePatches#patches())() 5-D Tensor with shape \\`\\[batch, out_planes, out_rows, out_cols, ksize_planes \\* ksize_rows \\* ksize_cols \\* depth\\]\\` containing patches with size \\`ksize_planes x ksize_rows x ksize_cols x depth\\` vectorized in the \"depth\" dimension. |\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 [ExtractVolumePatches](/api_docs/java/org/tensorflow/op/core/ExtractVolumePatches)\\\u003cT\\\u003e\n**create**\n([Scope](/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e input, List\\\u003cLong\\\u003e ksizes, List\\\u003cLong\\\u003e strides, String padding)\n\nFactory method to create a class wrapping a new ExtractVolumePatches operation. \n\n##### Parameters\n\n| scope | current scope |\n| input | 5-D Tensor with shape \\`\\[batch, in_planes, in_rows, in_cols, depth\\]\\`. |\n| ksizes | The size of the sliding window for each dimension of \\`input\\`. |\n| strides | 1-D of length 5. How far the centers of two consecutive patches are in \\`input\\`. Must be: \\`\\[1, stride_planes, stride_rows, stride_cols, 1\\]\\`. |\n| padding | The type of padding algorithm to use. The size-related attributes are specified as follows: ksizes = [1, ksize_planes, ksize_rows, ksize_cols, 1] strides = [1, stride_planes, strides_rows, strides_cols, 1] \u003cbr /\u003e |\n|---------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n\n##### Returns\n\n- a new instance of ExtractVolumePatches \n\n#### public [Output](/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e\n**patches**\n()\n\n5-D Tensor with shape \\`\\[batch, out_planes, out_rows, out_cols,\nksize_planes \\* ksize_rows \\* ksize_cols \\* depth\\]\\` containing patches\nwith size \\`ksize_planes x ksize_rows x ksize_cols x depth\\` vectorized\nin the \"depth\" dimension. Note \\`out_planes\\`, \\`out_rows\\` and \\`out_cols\\`\nare the dimensions of the output patches."]]