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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_TENSOR_H__
#define __NEURUN_BACKEND_ACL_CL_OPERAND_CL_TENSOR_H__
#include <arm_compute/core/TensorInfo.h>
#include <arm_compute/runtime/CL/CLTensor.h>
#include <arm_compute/runtime/CL/CLScheduler.h>
#include "arm_compute/runtime/CL/CLTensorAllocator.h"
#include "ICLTensor.h"
namespace neurun
{
namespace backend
{
namespace acl_cl
{
namespace operand
{
class CLTensor : public ICLTensor
{
public:
CLTensor() = delete;
public:
CLTensor(const arm_compute::TensorInfo &info, size_t rank, size_t num_uses);
public:
size_t num_dimensions() const final { return _rank; }
public:
const arm_compute::CLTensor *handle() const override;
arm_compute::CLTensor *handle() override;
size_t num_uses() const { return _num_uses; }
public:
arm_compute::CLTensorAllocator *allocator();
void map(bool blocking = true);
void unmap();
/** Set given buffer as the buffer of the tensor
*
* @note Ownership of the memory is not transferred to this object.
* Thus management (allocate/free) should be done by the client.
*
* @param[in] host_ptr Storage to be used.
*/
void setBuffer(void *host_ptr);
private:
std::shared_ptr<arm_compute::CLTensor> _cl_tensor;
size_t _rank;
size_t _num_uses;
};
} // namespace operand
} // namespace acl_cl
} // namespace backend
} // namespace neurun
#endif // __NEURUN_BACKEND_ACL_CL_OPERAND_CL_TENSOR_H__
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