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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.
*/
#include "CLTensor.h"
#include <arm_compute/runtime/CL/CLScheduler.h>
#include <arm_compute/runtime/CL/CLMemory.h>
#include <arm_compute/runtime/CL/CLMemoryRegion.h>
#include <Convert.h>
namespace onert
{
namespace backend
{
namespace acl_cl
{
namespace operand
{
CLTensor::CLTensor(const arm_compute::TensorInfo &info, size_t rank, size_t num_uses)
: _cl_tensor(std::make_shared<arm_compute::CLTensor>()), _rank{rank}, _num_uses{num_uses}
{
allocator()->init(info);
}
const arm_compute::CLTensor *CLTensor::handle() const { return _cl_tensor.get(); }
arm_compute::CLTensor *CLTensor::handle() { return _cl_tensor.get(); }
arm_compute::CLTensorAllocator *CLTensor::allocator() { return _cl_tensor->allocator(); }
void CLTensor::map(bool blocking) { _cl_tensor->map(blocking); }
void CLTensor::unmap() { _cl_tensor->unmap(); }
void CLTensor::setBuffer(void *host_ptr)
{
// Constructs a Buffer on a user-supplied memory
auto buffer = cl::Buffer(arm_compute::CLScheduler::get().context(),
CL_MEM_USE_HOST_PTR | CL_MEM_READ_WRITE, info()->total_size(), host_ptr);
// import memory
allocator()->import_memory(buffer);
}
} // namespace operand
} // namespace acl_cl
} // namespace backend
} // namespace onert
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