} else {
    padding_nums.resize(padding_nums_size);
    for (int i = 0; i < dnums.input_spatial_dimensions_size(); ++i) {
      const int64_t stride =
          mlir::cast<IntegerAttr>(op.getWindowStridesAttr()[i]).getInt();
      const int64_t lhs_size_dilated =
          ::tensorflow::UniformQuantizedConvolutionParams::DilatedSize(
              lhs_shape.getDimSize(dnums.input_spatial_dimensions(i)),