input_dims, window_dims, window_strides, padding, builder);
  int64_t rank = paddings.size();
  llvm::SmallVector<int64_t, num_dims * 2> flatten_paddings(rank * 2);
  for (int i = 0; i < rank; i++) {
    flatten_paddings[2 * i] = paddings[i].first;
    flatten_paddings[2 * i + 1] = paddings[i].second;
  }
  return DenseIntElementsAttr::get(tensorflow::GetTypeFromTFTensorShape(