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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 __INTERNAL_KERNELS_ACL_CL_TENSOR_CONVERT_FROM_COMMON_LAYER_H__
#define __INTERNAL_KERNELS_ACL_CL_TENSOR_CONVERT_FROM_COMMON_LAYER_H__
#include <NeuralNetworks.h>
#include <arm_compute/runtime/IFunction.h>
#include <arm_compute/core/CL/ICLTensor.h>
#include "internal/Model.h"
#include "internal/common/Tensor.h"
namespace neurun
{
namespace kernel
{
namespace acl_cl
{
class TensorConvertFromCommonLayer : public ::arm_compute::IFunction
{
public:
TensorConvertFromCommonLayer() {}
public:
bool convert();
void configure(::internal::common::Tensor *inputTensor, ::arm_compute::ICLTensor *outputTensor,
const ::neurun::graph::operand::Shape &tensorShape);
void run();
private:
::internal::common::Tensor *_inputTensor;
::arm_compute::ICLTensor *_outputTensor;
::neurun::graph::operand::Shape _tensorShape{1};
};
} // namespace acl_cl
} // namespace kernel
} // namespace neurun
#endif // __INTERNAL_KERNELS_ACL_CL_TENSOR_CONVERT_FROM_COMMON_LAYER_H__
#endif
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