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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.
*/
#include "tensor_dumper.h"
#include <fstream>
#include <iostream>
#include <cstring>
#include "tensorflow/lite/interpreter.h"
namespace TFLiteRun
{
TensorDumper::TensorDumper()
{
// DO NOTHING
}
void TensorDumper::addTensors(tflite::Interpreter &interpreter, const std::vector<int> &indices)
{
for (const auto &o : indices)
{
const TfLiteTensor *tensor = interpreter.tensor(o);
int size = tensor->bytes;
std::vector<char> buffer;
buffer.resize(size);
memcpy(buffer.data(), tensor->data.raw, size);
_tensors.emplace_back(o, std::move(buffer));
}
}
void TensorDumper::dump(const std::string &filename) const
{
// TODO Handle file open/write error
std::ofstream file(filename, std::ios::out | std::ios::binary);
// Write number of tensors
uint32_t num_tensors = static_cast<uint32_t>(_tensors.size());
file.write(reinterpret_cast<const char *>(&num_tensors), sizeof(num_tensors));
// Write tensor indices
for (const auto &t : _tensors)
{
file.write(reinterpret_cast<const char *>(&t._index), sizeof(int));
}
// Write data
for (const auto &t : _tensors)
{
file.write(t._data.data(), t._data.size());
}
file.close();
}
} // end of namespace TFLiteRun
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