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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 __NNKIT_SUPPORT_TFLITE_ABSTRACT_BACKEND_H__
#define __NNKIT_SUPPORT_TFLITE_ABSTRACT_BACKEND_H__
#include <nnkit/Backend.h>
#include <tensorflow/contrib/lite/interpreter.h>
namespace nnkit
{
namespace support
{
namespace tflite
{
class AbstractBackend : public nnkit::Backend
{
public:
virtual ~AbstractBackend() = default;
public:
virtual ::tflite::Interpreter &interpreter(void) = 0;
public:
void prepare(const std::function<void(TensorContext &)> &f) override;
void run(void) override;
void teardown(const std::function<void(TensorContext &)> &f) override;
};
} // namespace tflite
} // namespace support
} // namespace nnkit
#endif // __NNKIT_SUPPORT_TFLITE_ABSTRACT_BACKEND_H__
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