tf.signal.rfftnd

ND fast real Fourier transform.

tf.signal.rfftnd(
    input_tensor, fft_length=None, axes=None, norm=None, name=None
)

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.

input A Tensor. Must be one of the following types: float32, float64. A float32 or float64 tensor.
fft_length A Tensor of type int32. An int32 tensor. The FFT length for each dimension.
axes A Tensor of type int32. An int32 tensor with a same shape as fft_length. Axes to perform the transform. Should be tf.complex64 when the type of input is float32. Should be tf.complex128 when the type of input is float64.
name A name for the operation (optional).

A Tensor of type Tcomplex.