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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 __NNFW_SUPPORT_TFLITE_KERNELS_SQUARED_DIFFERENCE_H__
#define __NNFW_SUPPORT_TFLITE_KERNELS_SQUARED_DIFFERENCE_H__
#include "tensorflow/contrib/lite/context.h"
namespace tflite
{
namespace ops
{
namespace custom
{
namespace nnfw
{
namespace SquaredDifference
{
void *InitSquaredDifference(TfLiteContext *context, const char *buffer, size_t length);
void FreeSquaredDifference(TfLiteContext *context, void *buffer);
TfLiteStatus PrepareSquaredDifference(TfLiteContext *context, TfLiteNode *node);
TfLiteStatus EvalSquaredDifference(TfLiteContext *context, TfLiteNode *node);
} // namespace SquaredDifference
} // namespace nnfw
} // namespace custom
} // namespace ops
} // namespace tflite
#endif
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