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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.
*/
/**
* @file TensorFlowMax.h
* @brief This file contains TensorFlowMax namespace and TensorFlowMax function definitions
* @ingroup COM_AI_RUNTIME
*/
#ifndef __NNFW_TFLITE_EXT_KERNELS_TENSORFLOW_MAX_H__
#define __NNFW_TFLITE_EXT_KERNELS_TENSORFLOW_MAX_H__
#include "tensorflow/lite/context.h"
namespace nnfw
{
namespace tflite
{
namespace custom
{
namespace TensorFlowMax
{
/**
* @brief Initialize TensorFlowMax operand using the contents of buffer
* @param[in] context The TfLite context
* @param[in] buffer The buffer with contents
* @param[in] length The buffer length
* @return The void pointer for user data
*/
void *InitTensorFlowMax(TfLiteContext *context, const char *buffer, size_t length);
/**
* @brief Release any memory it might have allocated via 'InitTensorFlowMax'
* @param[in] context The TfLite context
* @param[in] buffer The buffer with contents
* @return N/A
*/
void FreeTensorFlowMax(TfLiteContext *context, void *buffer);
/**
* @brief Prepare the TensorFlowMax operand for execution
* @param[in] context The TfLite context
* @param[in] node The operand node
* @return The TfLite status
*/
TfLiteStatus PrepareTensorFlowMax(TfLiteContext *context, TfLiteNode *node);
/**
* @brief Evaluation the TensorFlowMax operand for execution
* @param[in] context The TfLite context
* @param[in] node The operand node
* @return The TfLite status
*/
TfLiteStatus EvalTensorFlowMax(TfLiteContext *context, TfLiteNode *node);
} // namespace TensorFlowMax
} // namespace custom
} // namespace tflite
} // namespace nnfw
#endif // __NNFW_TFLITE_EXT_KERNELS_TENSORFLOW_MAX_H__
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