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diff --git a/compiler/tflchef/tflite/src/TFliteImport.h b/compiler/tflchef/tflite/src/TFliteImport.h
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+++ b/compiler/tflchef/tflite/src/TFliteImport.h
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+/*
+ * Copyright (c) 2018 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 __TFLITE_IMPORT_H__
+#define __TFLITE_IMPORT_H__
+
+#include <mio/tflite/schema_generated.h>
+
+#include <tflchef.pb.h>
+
+#include <map>
+#include <vector>
+
+namespace tflchef
+{
+
+using TFliteSubGraphs_t = flatbuffers::Vector<flatbuffers::Offset<tflite::SubGraph>>;
+using TFliteTensors_t = flatbuffers::Vector<flatbuffers::Offset<tflite::Tensor>>;
+using TFliteBuffers_t = flatbuffers::Vector<flatbuffers::Offset<tflite::Buffer>>;
+using TFliteOperators_t = flatbuffers::Vector<flatbuffers::Offset<tflite::Operator>>;
+
+const char *tensor_type(const tflite::Tensor *tensor);
+const char *tensor_name(const tflite::Tensor *tensor);
+bool is_valid(const tflite::OperatorCode *opcode);
+bool is_custom(const tflite::OperatorCode *opcode);
+
+/**
+ * @brief Loads TF lite file and provides helpers to access attributes
+ */
+class TFliteImport
+{
+public:
+  TFliteImport(const tflite::Model *model);
+
+  TFliteImport() = delete;
+
+public:
+  bool select_sub_graph(uint32_t subgraph);
+
+public:
+  const TFliteBuffers_t *buffers() { return _buffers; }
+  const TFliteTensors_t *tensors() { return _tensors; }
+  const TFliteOperators_t *operators() { return _operators; }
+  const std::vector<int32_t> &inputs() const { return _inputs; }
+  const std::vector<int32_t> &outputs() const { return _outputs; }
+
+  uint32_t num_subgraph() const { return _subgraphs->Length(); }
+
+  tflite::BuiltinOperator builtin_code(const tflite::Operator *op) const;
+  std::string opcode_name(const tflite::Operator *op) const;
+  size_t buffer_info(const tflite::Tensor *tensor, const uint8_t **buff_data);
+
+  /**
+   * @brief This will record the tensor by index, if it needs filler option,
+   *        such as kernel, bias.
+   */
+  void set_tensor_filler(uint32_t tensor_index) { _tensor_filler[tensor_index] = true; }
+
+  /**
+   * @brief This will store int32 filler values such as reshape information for the tensor
+   */
+  void set_tensor_filler(uint32_t tensor_index, std::vector<int32_t> &expvalues)
+  {
+    _tensor_filler_vint32[tensor_index] = expvalues;
+  }
+
+  void set_tensor_filler(uint32_t tensor_index, std::vector<float> &expvalues)
+  {
+    _tensor_filler_vfloat[tensor_index] = expvalues;
+  }
+
+  /**
+   * @brief This will return true if the tensor by index, needs a filler option.
+   */
+  bool get_tensor_filler(uint32_t tensor_index)
+  {
+    auto it = _tensor_filler.find(tensor_index);
+    if (it != _tensor_filler.end())
+    {
+      return it->second;
+    }
+    return false;
+  }
+
+  /**
+   * @brief This will return true if the tensor by index, needs a int array filler option.
+   */
+  bool get_tensor_filler(uint32_t tensor_index, std::vector<int32_t> &expvalues)
+  {
+    auto it = _tensor_filler_vint32.find(tensor_index);
+    if (it != _tensor_filler_vint32.end())
+    {
+      expvalues = it->second;
+      return true;
+    }
+    return false;
+  }
+
+  bool get_tensor_filler(uint32_t tensor_index, std::vector<float> &expvalues)
+  {
+    auto it = _tensor_filler_vfloat.find(tensor_index);
+    if (it != _tensor_filler_vfloat.end())
+    {
+      expvalues = it->second;
+      return true;
+    }
+    return false;
+  }
+
+private:
+  const TFliteSubGraphs_t *_subgraphs;
+  const TFliteBuffers_t *_buffers;
+  const TFliteTensors_t *_tensors;
+  const TFliteOperators_t *_operators;
+
+  std::vector<const tflite::OperatorCode *> _op_codes;
+  std::vector<int32_t> _inputs;
+  std::vector<int32_t> _outputs;
+
+  std::map<uint32_t, bool> _tensor_filler;
+  std::map<uint32_t, std::vector<int32_t>> _tensor_filler_vint32;
+  std::map<uint32_t, std::vector<float>> _tensor_filler_vfloat;
+};
+
+} // namespace tflchef
+
+#endif // __TFLITE_IMPORT_H__