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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 "tflite/ext/kernels/register.h"
#include "tensorflow/lite/model.h"
#include "tflite/interp/FlatBufferBuilder.h"
#include "tflite/Diff.h"
#include <iostream>
#include <stdexcept>
using namespace tflite;
using namespace nnfw::tflite;
int main(const int argc, char **argv)
{
if (argc < 2)
{
std::cerr << "nnapi_test\n\n";
std::cerr << "Usage: " << argv[0] << " <.tflite>\n\n";
return 1;
}
const auto filename = argv[1];
StderrReporter error_reporter;
auto model = FlatBufferModel::BuildFromFile(filename, &error_reporter);
const nnfw::tflite::FlatBufferBuilder builder(*model);
try
{
return RandomTestRunner::make(0).run(builder);
}
catch (const std::exception &e)
{
std::cerr << e.what() << std::endl;
return 1;
}
}
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