code: def fbcorr(imgs, filters, output):
      n_imgs, n_rows, n_cols, n_channels = imgs.shape
      n_filters, height, width, n_ch2 = filters.shape
  
      "omp parallel for"
      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
                                  )
  
label_desc: Use image node_id 1 for calling a global function with example usage: fbcorr(imgs, filters, output) without return types