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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_RUN_TENSOR_LOADER_H__
#define __TFLITE_RUN_TENSOR_LOADER_H__
#include <sys/mman.h>
#include <string>
#include <unordered_map>
#include "tflite/TensorView.h"
namespace tflite
{
class Interpreter;
}
namespace TFLiteRun
{
class TensorLoader
{
public:
TensorLoader(tflite::Interpreter &interpreter);
void loadDumpedTensors(const std::string &filename);
void loadRawTensors(const std::string &filename, const std::vector<int> &tensor_indices);
const nnfw::tflite::TensorView<float> &get(int tensor_idx) const;
size_t getNums() const { return _tensor_map.size(); }
private:
size_t loadTensorsFromRawData(const std::vector<int> &tensor_indices);
tflite::Interpreter &_interpreter;
std::unique_ptr<float[]> _raw_data;
std::unordered_map<int, nnfw::tflite::TensorView<float>> _tensor_map;
};
} // end of namespace TFLiteRun
#endif // __TFLITE_RUN_TENSOR_LOADER_H__
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