RFFTND

public final class RFFTND

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

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.

public static 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.

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 RFFTND

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.