tf.rfftnd

ND fast real Fourier transform.

tf.rfftnd(
    input: Annotated[Any, TV_RFFTND_Treal],
    fft_length: Annotated[Any, _atypes.Int32],
    axes: Annotated[Any, _atypes.Int32],
    Tcomplex: TV_RFFTND_Tcomplex = tf.dtypes.complex64,
    name=None
) -> Annotated[Any, TV_RFFTND_Tcomplex]

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.

inputA Tensor. Must be one of the following types: float32, float64. A complex tensor.
fft_lengthA Tensor of type int32. An int32 tensor. The FFT length for each dimension.
axesA Tensor of type int32. An int32 tensor with a same shape as fft_length. Axes to perform the transform.
TcomplexAn optional tf.DType from: tf.complex64, tf.complex128. Defaults to tf.complex64.
nameA name for the operation (optional).

A Tensor of type Tcomplex.