auto get_int = [](Attribute attr) {
        return mlir::cast<IntegerAttr>(attr).getInt();
      };

      SmallVector<int32_t> padding_values(padding_attr_array.size());
      for (int i = 0; i < padding_attr_array.size(); i++) {
        padding_values[i] =
            static_cast<int32_t>(get_int(padding_attr_array[i]));
      }

      RankedTensorType padding_attr_type = tensorflow::GetTypeFromTFTensorShape(

  }
  SetOpAttrValueScalar(ctx, op, i_list_values, "ksize", status);
  SetOpAttrValueScalar(ctx, op, i_list_values, "strides", status);

  tensorflow::AttrValue padding_value;
  *padding_value.mutable_s() = "VALID";
  tensorflow::SetOpAttrValueScalar(ctx, op, padding_value, "padding", status);

  tensorflow::AttrValue data_format_value;
  *data_format_value.mutable_s() = "NHWC";