IFFTND

public final class IFFTND

ND inverse fast Fourier transform.

Computes the n-dimensional inverse discrete Fourier transform over designated dimensions of `input`. The designated dimensions of `input` are assumed to be the result of `IFFTND`.

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<T>
asOutput()
Returns the symbolic handle of a tensor.
static <T> IFFTND<T>
create(Scope scope, Operand<T> input, Operand<Integer> fftLength, Operand<Integer> axes)
Factory method to create a class wrapping a new IFFTND operation.
Output<T>
output()
A complex tensor of the same shape as `input`.

Inherited Methods

org.tensorflow.op.PrimitiveOp
final boolean
equals(Object obj)
final int
hashCode()
Operation
op()
Returns the underlying Operation
final String
toString()
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()
org.tensorflow.Operand
abstract Output<T>
asOutput()
Returns the symbolic handle of a tensor.

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.

public static IFFTND<T> create (Scope scope, Operand<T> input, Operand<Integer> fftLength, Operand<Integer> axes)

Factory method to create a class wrapping a new IFFTND 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.
Returns
  • a new instance of IFFTND

public Output<T> output ()

A complex tensor of the same shape as `input`. The designated dimensions of `input` are replaced with their inverse Fourier transforms.