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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.
*/
//
// THIS FILE IS UNUSED BUT LEFT FOR FUTURE REFERNCE
//
#if 0
#ifndef __NEURUN_KERNEL_CPU_TENSOR_CONVERT_TO_COMMON_LAYER_H__
#define __NEURUN_KERNEL_CPU_TENSOR_CONVERT_TO_COMMON_LAYER_H__
#include <NeuralNetworks.h>
#include <arm_compute/runtime/IFunction.h>
#include "internal/Model.h"
#include "internal/common/Tensor.h"
#include "internal/cpu.h"
namespace neurun
{
namespace kernel
{
namespace cpu
{
class TensorConvertToCommonLayer : public ::arm_compute::IFunction
{
public:
TensorConvertToCommonLayer() {}
public:
bool convert();
void configure(::internal::cpu::Tensor *inputTensor, ::internal::common::Tensor *outputTensor,
const Shape &tensorShape);
void run();
private:
::internal::cpu::Tensor *_inputTensor;
::internal::common::Tensor *_outputTensor;
Shape _tensorShape{1};
};
} // namespace cpu
} // namespace kernel
} // namespace neurun
#endif // __NEURUN_KERNEL_CPU_TENSOR_CONVERT_TO_COMMON_LAYER_H__
#endif
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