const std::vector<ControlFlowInfo>& control_flow_info,
                         const TensorShapeProto& shape, Graph* graph_out) {
  DataType data_type = src_node->output_type(src_port);
  TensorProto dummy_proto;
  dummy_proto.set_dtype(data_type);
  *dummy_proto.mutable_tensor_shape() = shape;
  // Don't set any value field in the proto, since it is only going to be used
  // for shape inference.

          hoisted_read(nullptr),
          data_type(nullptr),
          result_index(-1) {}

    bool IsResultIndexAssigned() { return result_index != -1; }

    // Refine the resource type using the given type `type`.
    void RefineType(Type type) {
      if (!data_type) {
        data_type = type;
      } else {
        data_type = TF::GetCastCompatibleType(data_type, type,

						columnType)
				}
			case "name":
				dataType := DB.Dialector.DataTypeOf(stmt.Schema.LookUpField(columnType.Name()))
				if !strings.Contains(strings.ToUpper(dataType), strings.ToUpper(columnType.DatabaseTypeName())) {
					t.Fatalf("column name type should be correct, name: %v, length: %v, expects: %v, column: %#v",
						columnType.Name(), columnType.DatabaseTypeName(), dataType, columnType)
				}

odified[f]),E.etag[f]&&T.setRequestHeader("If-None-Match",E.etag[f])),(y.data&&y.hasContent&&!1!==y.contentType||t.contentType)&&T.setRequestHeader("Content-Type",y.contentType),T.setRequestHeader("Accept",y.dataTypes[0]&&y.accepts[y.dataTypes[0]]?y.accepts[y.dataTypes[0]]+("*"!==y.dataTypes[0]?", "+It+"; q=0.01":""):y.accepts["*"]),y.headers)T.setRequestHeader(i,y.headers[i]);if(y.beforeSend&&(!1===y.beforeSend.call(v,T,y)||h))return T.abort();if(u="abort",b.add(y.complete),T.done(y.success),T....

odified[f]),E.etag[f]&&T.setRequestHeader("If-None-Match",E.etag[f])),(y.data&&y.hasContent&&!1!==y.contentType||t.contentType)&&T.setRequestHeader("Content-Type",y.contentType),T.setRequestHeader("Accept",y.dataTypes[0]&&y.accepts[y.dataTypes[0]]?y.accepts[y.dataTypes[0]]+("*"!==y.dataTypes[0]?", "+It+"; q=0.01":""):y.accepts["*"]),y.headers)T.setRequestHeader(i,y.headers[i]);if(y.beforeSend&&(!1===y.beforeSend.call(v,T,y)||h))return T.abort();if(u="abort",b.add(y.complete),T.done(y.success),T....

	reqSize := uint32(256)
	for {
		var dataType DEVPROPTYPE
		buf := make([]byte, reqSize)
		err = setupDiGetDeviceProperty(deviceInfoSet, deviceInfoData, propertyKey, &dataType, &buf[0], uint32(len(buf)), &reqSize, 0)
		if err == ERROR_INSUFFICIENT_BUFFER {
			continue
		}
		if err != nil {
			return
		}
		switch dataType {
		case DEVPROP_TYPE_STRING:

                        const Output& x0, const bool adj_x0, const Output& x1,
                        const bool adj_x1, const DataType x_data_type,
                        const Output& y0, const bool adj_y0, const Output& y1,
                        const bool adj_y1, const DataType y_data_type,
                        std::vector<Output>* grad_outputs) {
  if (is_batch == false) {
    auto dx =

  def.add_input("input2");
  def.add_input("input3");
  def.add_input("input3");
  def.add_input("input3");

  AttrValue v0;
  v0.set_type(DataType::DT_INT32);
  v0.set_i(3);
  (*def.mutable_attr())["NumInput3"] = v0;
  AttrValue v1;
  v1.set_type(DataType::DT_FLOAT);
  (*def.mutable_attr())["SomeDataTypeAttr"] = v1;

  return CreateOpKernel(DeviceType(device_name), nullptr, nullptr, def, 1,

  EXPECT_NE(attr_found, attr_values.cend());
  EXPECT_EQ(attr_found->second.list().type(0), tensorflow::DataType::DT_BOOL);
  EXPECT_EQ(attr_found->second.list().type(1), tensorflow::DataType::DT_FLOAT);
  EXPECT_EQ(attr_found->second.list().type(2), tensorflow::DataType::DT_INT32);

  TFE_TensorHandle* retvals[1] = {nullptr};
  int num_retvals = 1;

	}

	allowWatchList := isWatcher && isLister // watching on lists is allowed only for kinds that support both watch and list.
	nameParam := ws.PathParameter("name", "name of the "+kind).DataType("string")
	pathParam := ws.PathParameter("path", "path to the resource").DataType("string")

	params := []*restful.Parameter{}
	actions := []action{}

	var resourceKind string
	kindProvider, ok := storage.(rest.KindProvider)
	if ok {