code: def ccorr(a, b):
      """
      Compute circular correlation of two tensors.
      Parameters
      ----------
      a: Tensor, 1D or 2D
      b: Tensor, 1D or 2D
  
      Notes
      -----
      Input a and b should have the same dimensions. And this operation supports broadcasting.
  
      Returns
      -------
      Tensor, having the same dimension as the input a.
      """
      return th.fft.irfftn(
          th.conj(th.fft.rfftn(a, (-1))) * th.fft.rfftn(b, (-1)), (-1)
      )
  
imports: import dgl
  import torch
label_desc: Use image node_id 3 for calling a global function with example usage: ccorr(a, b) and returns: th