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+/*
+ * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef __ONERT_BACKEND_XNNPACK_TENSOR_BUILDER_H__
+#define __ONERT_BACKEND_XNNPACK_TENSOR_BUILDER_H__
+
+#include <backend/cpu_common/DynamicTensorManager.h>
+#include <backend/cpu_common/TensorRegistry.h>
+
+#include <ir/OperandIndexMap.h>
+
+#include "StaticTensorManager.h"
+#include "Tensor.h"
+
+#include <unordered_map>
+
+namespace onert
+{
+namespace backend
+{
+namespace xnnpack
+{
+
+class TensorBuilder
+{
+public:
+ TensorBuilder(const std::shared_ptr<cpu_common::TensorRegistry> &tensor_reg);
+
+ /**
+ * @brief Register tensor information to allocate on XNNPACK backend
+ * @param[in] ind Operand index
+ * @param[in] info Operand information
+ * @param[in] layout Operand data layout
+ */
+ void registerTensorInfo(const ir::OperandIndex &ind, const ir::OperandInfo &info,
+ ir::Layout backend_layout);
+
+ void notifyFirstUse(const ir::OperandIndex &);
+ void notifyLastUse(const ir::OperandIndex &);
+
+ bool isRegistered(const ir::OperandIndex &) const;
+
+ void prepare(void);
+ void allocate();
+ void postFunctionPrepare() { /* DO NOTHING */}
+
+ IDynamicTensorManager *dynamicTensorManager(void) { return _dynamic_tensor_mgr.get(); }
+
+private:
+ const std::shared_ptr<cpu_common::TensorRegistry> _tensor_reg;
+ std::unique_ptr<cpu_common::DynamicTensorManager> _dynamic_tensor_mgr;
+ std::unique_ptr<StaticTensorManager> _static_tensor_mgr;
+ ir::OperandIndexMap<ir::OperandInfo> _tensor_info_map;
+};
+
+} // namespace xnnpack
+} // namespace backend
+} // namespace onert
+
+#endif // __ONERT_BACKEND_XNNPACK_TENSOR_BUILDER_H__