Warning: This API is deprecated and will be removed in a future
version of TensorFlow after
the replacement is stable.
RFFTND
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ND fast real Fourier transform.
Computes the n-dimensional real discrete Fourier transform over designated
dimensions of `input`. The designated dimensions of `input` are assumed to be
the result of `RFFTND`. The length of the last axis transformed will be
fft_length[-1]//2+1.
If fft_length[i]shape(input)[i], the input is padded with zeros. If fft_length
is not given, the default shape(input) is used.
Axes mean the dimensions to perform the transform on. Default is to perform on
all axes.
Public Methods
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Output<U>
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asOutput()
Returns the symbolic handle of a tensor.
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static
<U, T extends Number>
RFFTND<U>
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create( Scope scope, Operand<T> input, Operand<Integer> fftLength, Operand<Integer> axes, Class<U> Tcomplex)
Factory method to create a class wrapping a new RFFTND operation.
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Output<U>
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output()
A complex tensor of the same shape as `input`.
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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<U>
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 RFFTND operation.
Parameters
| scope |
current scope |
| input |
A complex tensor. |
| fftLength |
An int32 tensor. The FFT length for each dimension. |
| axes |
An int32 tensor with a same shape as fft_length. Axes to perform the transform. |
public
Output<U>
output
()
A complex tensor of the same shape as `input`. The designated
dimensions of `input` are replaced with their real Fourier transforms.
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 2023-10-06 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 2023-10-06 UTC."],[],[],null,["# RFFTND\n\npublic final class **RFFTND** \nND fast real Fourier transform.\n\n\nComputes the n-dimensional real discrete Fourier transform over designated\ndimensions of \\`input\\`. The designated dimensions of \\`input\\` are assumed to be\nthe result of \\`RFFTND\\`. The length of the last axis transformed will be\nfft_length\\[-1\\]//2+1.\n\n\nIf fft_length\\[i\\]shape(input)\\[i\\], the input is padded with zeros. If fft_length is not given, the default shape(input) is used.\n\n\nAxes mean the dimensions to perform the transform on. Default is to perform on\nall axes.\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)\\\u003cU\\\u003e | [asOutput](/api_docs/java/org/tensorflow/op/core/RFFTND#asOutput())() Returns the symbolic handle of a tensor. |\n| static \\\u003cU, T extends Number\\\u003e [RFFTND](/api_docs/java/org/tensorflow/op/core/RFFTND)\\\u003cU\\\u003e | [create](/api_docs/java/org/tensorflow/op/core/RFFTND#create(org.tensorflow.op.Scope,%20org.tensorflow.Operand\u003cT\u003e,%20org.tensorflow.Operand\u003cjava.lang.Integer\u003e,%20org.tensorflow.Operand\u003cjava.lang.Integer\u003e,%20java.lang.Class\u003cU\u003e))([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)\\\u003cInteger\\\u003e fftLength, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cInteger\\\u003e axes, Class\\\u003cU\\\u003e Tcomplex) Factory method to create a class wrapping a new RFFTND operation. |\n| [Output](/api_docs/java/org/tensorflow/Output)\\\u003cU\\\u003e | [output](/api_docs/java/org/tensorflow/op/core/RFFTND#output())() A complex tensor of the same shape as \\`input\\`. |\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)\\\u003cU\\\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)\\\u003cU\\\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 [RFFTND](/api_docs/java/org/tensorflow/op/core/RFFTND)\\\u003cU\\\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)\\\u003cInteger\\\u003e fftLength, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cInteger\\\u003e axes, Class\\\u003cU\\\u003e Tcomplex)\n\nFactory method to create a class wrapping a new RFFTND operation. \n\n##### Parameters\n\n| scope | current scope |\n| input | A complex tensor. |\n| fftLength | An int32 tensor. The FFT length for each dimension. |\n| axes | An int32 tensor with a same shape as fft_length. Axes to perform the transform. |\n|-----------|---------------------------------------------------------------------------------|\n\n##### Returns\n\n- a new instance of RFFTND \n\n#### public [Output](/api_docs/java/org/tensorflow/Output)\\\u003cU\\\u003e\n**output**\n()\n\nA complex tensor of the same shape as \\`input\\`. The designated\ndimensions of \\`input\\` are replaced with their real Fourier transforms.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e"]]
