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/*
* Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
* Copyright 2017 The TensorFlow Authors. 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 NeuralNetworksExShim.h
* @brief This file contains an actual implementation of
* ANeuralNetworksModel_addOperationEx function
*/
#ifndef __NEURAL_NETWORKS_EX_SHIM_H__
#define __NEURAL_NETWORKS_EX_SHIM_H__
#include "NeuralNetworks.h"
#include "NeuralNetworksEx.h"
#include "NeuralNetworksLoadHelpers.h"
typedef int (*ANeuralNetworksModel_addOperationEx_fn)(ANeuralNetworksModel *model,
ANeuralNetworksOperationTypeEx type,
uint32_t inputCount, const uint32_t *inputs,
uint32_t outputCount,
const uint32_t *outputs);
/**
* @brief Add an extended operation to a model.
*
* @param[in] model The model to be modified.
* @param[in] type The type of extended operation.
* @param[in] inputCount The number of entries in the inputs array.
* @param[in] inputs An array of indexes identifying each operand.
* @param[in] outputCount The number of entries in the outputs array.
* @param[in] outputs An array of indexes identifying each operand.
*
* @note The operands specified by inputs and outputs must have been
* previously added by calls to {@link ANeuralNetworksModel_addOperand}.\n
* Attempting to modify a model once {@link ANeuralNetworksModel_finish}
* has been called will return an error.\n
* See {@link ANeuralNetworksModel} for information on multithreaded usage.
*
* @return ANEURALNETWORKS_NO_ERROR if successful.
*/
inline int ANeuralNetworksModel_addOperationEx(ANeuralNetworksModel *model,
ANeuralNetworksOperationTypeEx type,
uint32_t inputCount, const uint32_t *inputs,
uint32_t outputCount, const uint32_t *outputs)
{
LOAD_FUNCTION(ANeuralNetworksModel_addOperationEx);
EXECUTE_FUNCTION_RETURN(model, type, inputCount, inputs, outputCount, outputs);
}
#endif // __NEURAL_NETWORKS_EX_SHIM_H__
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