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
Output<U>
|
asOutput()
Returns the symbolic handle of a tensor.
|
static
<U, T extends Number>
RFFTND<U>
|
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.
|
Output<U>
|
output()
A complex tensor of the same shape as `input`.
|
Inherited Methods
From class
java.lang.Object
boolean
|
equals(Object arg0)
|
final
Class<?>
|
getClass()
|
int
|
hashCode()
|
final
void
|
notify()
|
final
void
|
notifyAll()
|
String
|
toString()
|
final
void
|
wait(long arg0, int arg1)
|
final
void
|
wait(long arg0)
|
final
void
|
wait()
|
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.
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Last updated 2023-10-06 UTC.
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