tf.raw_ops.FFTND
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ND fast Fourier transform.
tf.raw_ops.FFTND( input, fft_length, axes, name=None )
Computes the n-dimensional discrete Fourier transform over designated dimensions of input. The designated dimensions of input are assumed to be the result of FFTND.
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. |
