tf.signal.ifftnd

ND inverse fast Fourier transform.

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Compat aliases for migration

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tf.compat.v1.signal.ifftnd

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

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.