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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_CPU_OPERAND_TENSOR_H__
#define __NEURUN_BACKEND_CPU_OPERAND_TENSOR_H__
#include <arm_compute/core/ITensor.h>
#include <arm_compute/core/TensorInfo.h>
namespace neurun
{
namespace backend
{
namespace cpu
{
namespace operand
{
class Tensor : public ::arm_compute::ITensor
{
public:
Tensor() = default;
Tensor(::arm_compute::TensorInfo info) : _info(info)
{
// TODO Do not allocate buffer here. This tensor is just an abstract Tensor object for cpu.
uint32_t size = _info.total_size(); // NOTE This size may not be accurate
_buffer = new uint8_t[size]; // NOTE The allocated buffer is never deallocated.
}
Tensor(uint8_t *buffer) : _buffer(buffer)
{
// DO NOTHING
}
public:
void setBuffer(uint8_t *buffer) { _buffer = buffer; }
public:
::arm_compute::TensorInfo *info() const override
{
return const_cast<::arm_compute::TensorInfo *>(&_info);
}
::arm_compute::TensorInfo *info() override { return &_info; }
uint8_t *buffer() const override { return _buffer; }
private:
::arm_compute::TensorInfo _info;
uint8_t *_buffer = nullptr;
};
} // namespace operand
} // namespace cpu
} // namespace backend
} // namespace neurun
#endif // __NEURUN_BACKEND_CPU_OPERAND_TENSOR_H__
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