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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 <NeuralNetworks.h>
#include <sys/mman.h>
#include <memory>
#include "cpp14/memory.h"
#include "memory.h"
int ANeuralNetworksMemory_createFromFd(size_t size, int protect, int fd, size_t offset,
ANeuralNetworksMemory **memory)
{
if (memory == nullptr)
{
return ANEURALNETWORKS_UNEXPECTED_NULL;
}
// Use unique pointer to avoid memory leak
std::unique_ptr<ANeuralNetworksMemory> memory_ptr =
nnfw::cpp14::make_unique<ANeuralNetworksMemory>(size, protect, fd, offset);
if (memory_ptr == nullptr)
{
return ANEURALNETWORKS_OUT_OF_MEMORY;
}
*memory = memory_ptr.release();
return ANEURALNETWORKS_NO_ERROR;
}
void ANeuralNetworksMemory_free(ANeuralNetworksMemory *memory) { delete memory; }
//
// ANeuralNetworksMemory
//
ANeuralNetworksMemory::ANeuralNetworksMemory(size_t size, int protect, int fd, size_t offset)
{
_base = reinterpret_cast<uint8_t *>(mmap(nullptr, size, protect, MAP_PRIVATE, fd, offset));
_size = size;
}
ANeuralNetworksMemory::~ANeuralNetworksMemory() { munmap(reinterpret_cast<void *>(_base), _size); }
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