|  TensorFlow 2 version |  View source on GitHub | 
Shift the zero-frequency component to the center of the spectrum.
tf.signal.fftshift(
    x, axes=None, name=None
)
This function swaps half-spaces for all axes listed (defaults to all).
Note that y[0] is the Nyquist component only if len(x) is even.
For example:
x = tf.signal.fftshift([ 0.,  1.,  2.,  3.,  4., -5., -4., -3., -2., -1.])
x.numpy() # array([-5., -4., -3., -2., -1.,  0.,  1.,  2.,  3.,  4.])
| Args | |
|---|---|
| x | Tensor, input tensor. | 
| axes | intor shapetuple, optional Axes over which to shift.  Default is
None, which shifts all axes. | 
| name | An optional name for the operation. | 
| Returns | |
|---|---|
| A Tensor, The shifted tensor. | 
Numpy Compatibility
Equivalent to numpy.fft.fftshift. https://docs.scipy.org/doc/numpy/reference/generated/numpy.fft.fftshift.html