}
		if _, ok := dat[suffix]; ok {
			// Already handled.
			continue
		}

		b, err := sectionData(s)
		if err != nil {
			return nil, err
		}

		if suffix == "types" {
			err = d.AddTypes(fmt.Sprintf("types-%d", i), b)
		} else {
			err = d.AddSection(".debug_"+suffix, b)
		}
		if err != nil {
			return nil, err
		}
	}

	return d, nil
}

      for (mlir::TensorType subtype : subtypes) {
        DataType dtype;
        TF_RETURN_IF_ERROR(ConvertToDataType(subtype.getElementType(), &dtype));
        handle_dtypes_attr.mutable_list()->add_type(dtype);

        SetTensorShapeProto(subtype,
                            handle_shapes_attr.mutable_list()->add_shape());
      }

      (*node_def->mutable_attr())["_handle_dtypes"] = handle_dtypes_attr;

      for (mlir::TensorType subtype : subtypes) {
        DataType dtype;
        TF_RETURN_IF_ERROR(ConvertToDataType(subtype.getElementType(), &dtype));
        handle_dtypes_attr.mutable_list()->add_type(dtype);

        SetTensorShapeProto(subtype,
                            handle_shapes_attr.mutable_list()->add_shape());
      }

      (*node_def->mutable_attr())["_handle_dtypes"] = handle_dtypes_attr;

TFRDialect::TFRDialect(MLIRContext *context)
    : Dialect(/*name=*/"tfr", context, TypeID::get<TFRDialect>()) {
  // TFR depends on TensorFlow for its canonicalization
  context->getOrLoadDialect<TF::TensorFlowDialect>();

  addTypes<TFRTensorType, TFRTensorListType, TFRAttrType>();
  addOperations<
#define GET_OP_LIST
#include "tensorflow/compiler/mlir/tfr/ir/tfr_ops.cc.inc"
      >();

  addInterfaces<TFRInlinerInterface>();
}

			// Already handled.
			continue
		}

		b, err := sectionData(i, s)
		if err != nil {
			return nil, err
		}

		if suffix == "types" {
			if err := d.AddTypes(fmt.Sprintf("types-%d", i), b); err != nil {
				return nil, err
			}
		} else {
			if err := d.AddSection(".debug_"+suffix, b); err != nil {
				return nil, err
			}
		}
	}