var segs bytes.Buffer
			itype := fmt.Sprintf("%s%d", typ, iWidth)
			names.WriteString("\ttest" + itype + ",\n")
			for _, fWidth := range floatWidths {
				ftype := fmt.Sprintf("float%d", fWidth)
				seg := strings.Replace(testSegment, "$F", ftype, -1)
				seg = strings.Replace(seg, "$I", itype, -1)
				segs.WriteString(seg)
			}
			body := strings.Replace(testFunc, "$I", itype, -1)
			if typ[0] == 'u' {

    return absl::OkStatus();
  } else if (auto itype = mlir::dyn_cast<mlir::IntegerType>(type)) {
    switch (itype.getWidth()) {
      case 1:
        *dtype = DT_BOOL;
        return absl::OkStatus();
      case 4:
        *dtype = itype.isUnsigned() ? DT_UINT4 : DT_INT4;
        return absl::OkStatus();
      case 8:
        *dtype = itype.isUnsigned() ? DT_UINT8 : DT_INT8;
        return absl::OkStatus();

  } else if (auto itype = mlir::dyn_cast<mlir::IntegerType>(type)) {
    switch (itype.getWidth()) {
      case 1:
        return tflite::TensorType_BOOL;
      case 4:
        if (itype.isUnsigned())
          llvm_unreachable("invalid unsigned 4bit integer Type in conversion");
        else
          return tflite::TensorType_INT4;
      case 8:
        if (itype.isUnsigned())

    } else {
      return tensorflow::Status(absl::StatusCode::kInvalidArgument,
                                "Unsupported type");
    }
  } else if (auto itype = mlir::dyn_cast<mlir::IntegerType>(element_type)) {
    if (element_type.isSignedInteger()) {
      switch (itype.getWidth()) {
        case 8:
          return DenseElementsAttr::get<int8_t>(shaped_type,
                                                static_cast<int8_t>(value));