code: def fbcorr(imgs, filters):
      n_imgs, n_rows, n_cols, n_channels = (
          len(imgs),
          len(imgs[0]),
          len(imgs[0][0]),
          len(imgs[0][0][0]),
      )
      n_filters, height, width, n_ch2 = (
          len(filters),
          len(filters[0]),
          len(filters[0][0]),
          len(filters[0][0][0]),
      )
      output = [
          [
              [
                  [0 for i in range(n_cols - width + 1)]
                  for j in range(n_rows - height + 1)
              ]
              for k in range(n_filters)
          ]
          for l in range(n_imgs)
      ]
      for ii in range(n_imgs):
          for rr in range(n_rows - height + 1):
              for cc in range(n_cols - width + 1):
                  for hh in range(height):
                      for ww in range(width):
                          for jj in range(n_channels):
                              for ff in range(n_filters):
                                  imgval = imgs[ii][rr + hh][cc + ww][
                                      jj
                                  ]
                                  filterval = filters[ff][hh][ww][jj]
                                  output[ii][ff][rr][cc] += (
                                      imgval * filterval
                                  )
      return output
  
label_desc: Use image node_id 1 for calling a global function with example usage: fbcorr(imgs, filters) and returns: output