tf.ifftnd

ND inverse fast Fourier transform.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.ifftnd

tf.ifftnd(
    input: Annotated[Any, TV_IFFTND_Tcomplex],
    fft_length: Annotated[Any, _atypes.Int32],
    axes: Annotated[Any, _atypes.Int32],
    name=None
) -> Annotated[Any, TV_IFFTND_Tcomplex]

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.

Args
input	A Tensor. Must be one of the following types: complex64, complex128. A complex 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.
name	A name for the operation (optional).

Returns
A Tensor. Has the same type as input.