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/*
* Copyright (c) 2019 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 "mlapse/tfl/load.h"
#include <tflite/ext/kernels/register.h>
namespace
{
tflite::StderrReporter error_reporter;
} // namespace
namespace mlapse
{
namespace tfl
{
std::unique_ptr<tflite::FlatBufferModel> load_model(const std::string &path)
{
return tflite::FlatBufferModel::BuildFromFile(path.c_str(), &error_reporter);
}
std::unique_ptr<tflite::Interpreter> make_interpreter(const tflite::FlatBufferModel *model)
{
// Let's use extended resolver!
nnfw::tflite::BuiltinOpResolver resolver;
tflite::InterpreterBuilder builder(*model, resolver);
std::unique_ptr<tflite::Interpreter> interpreter;
if (builder(&interpreter) != kTfLiteOk)
{
return nullptr;
}
return std::move(interpreter);
}
} // namespace tfl
} // namespace mlapse
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