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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 __NEURUN_BACKEND_ACL_CL_OPERAND_CL_SUB_TENSOR_H__
#define __NEURUN_BACKEND_ACL_CL_OPERAND_CL_SUB_TENSOR_H__
#include <arm_compute/runtime/CL/CLSubTensor.h>
#include "ICLTensor.h"
#include "compiler/SubTensorInfo.h"
namespace neurun
{
namespace backend
{
namespace acl_cl
{
namespace operand
{
class CLSubTensor : public ICLTensor
{
public:
CLSubTensor() = delete;
public:
CLSubTensor(ICLTensor *parent, const arm_compute::TensorShape &tensor_shape,
const arm_compute::Coordinates &coords, size_t rank, bool extend_parent = false);
public:
size_t num_dimensions() const final { return _rank; }
public:
const arm_compute::CLSubTensor *handle() const override;
arm_compute::CLSubTensor *handle() override;
public:
// This method is used to prevent the use of memcpy for SubTensor
bool has_padding() const override { return true; }
private:
std::shared_ptr<arm_compute::CLSubTensor> _cl_sub_tensor;
size_t _rank;
};
} // namespace operand
} // namespace acl_cl
} // namespace backend
} // namespace neurun
#endif // __NEURUN_BACKEND_ACL_CL_OPERAND_CL_SUB_TENSOR_H__
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