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Diffstat (limited to 'runtime/contrib/pure_arm_compute/src/memory.cc')
-rw-r--r-- | runtime/contrib/pure_arm_compute/src/memory.cc | 55 |
1 files changed, 55 insertions, 0 deletions
diff --git a/runtime/contrib/pure_arm_compute/src/memory.cc b/runtime/contrib/pure_arm_compute/src/memory.cc new file mode 100644 index 000000000..9e999661a --- /dev/null +++ b/runtime/contrib/pure_arm_compute/src/memory.cc @@ -0,0 +1,55 @@ +/* + * 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); } |