tf.irfftnd

ND inverse real fast Fourier transform.

tf.irfftnd(
    input: Annotated[Any, TV_IRFFTND_Tcomplex],
    fft_length: Annotated[Any, _atypes.Int32],
    axes: Annotated[Any, _atypes.Int32],
    Treal: TV_IRFFTND_Treal = tf.dtypes.float32,
    name=None
) -> Annotated[Any, TV_IRFFTND_Treal]

Computes the n-dimensional inverse real discrete Fourier transform over designated dimensions of input. The designated dimensions of input are assumed to be the result of IRFFTND. The inner-most dimension contains the fft_length / 2 + 1 unique components of the DFT of a real-valued signal.

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: complex64, complex128. 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.
TrealAn optional tf.DType from: tf.float32, tf.float64. Defaults to tf.float32.
nameA name for the operation (optional).

A Tensor of type Treal.