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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.
*/
#include <iostream>
#include <stdexcept>
#include <string>
namespace
{
void print_help()
{
std::cerr << "This generates a file that contains result of running TensorFlow Lite interpreter"
<< std::endl
<< "Usage:" << std::endl
<< "\t"
<< "$ gen-tflite-output <tflite_file_path> <input_file_path> <output_path_to_generate>"
<< std::endl;
}
void gen_tflite_output(const std::string tflite_path, const std::string input_path,
const std::string output_path)
{
throw std::runtime_error("Not Yet Implemented");
}
} // namespace
int main(int argc, char **argv)
{
// TODO We need better args parsing in future
if (argc != 4)
{
print_help();
return 255;
}
gen_tflite_output(argv[1], argv[2], argv[3]);
return 0;
}
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