133 lines
3.8 KiB
C++
133 lines
3.8 KiB
C++
/*
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* Copyright (C) 2017 The Android Open Source Project
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#define LOG_TAG "Memory"
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#include "Memory.h"
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#include "HalInterfaces.h"
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#include "Utils.h"
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namespace android {
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namespace nn {
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int Memory::create(uint32_t size) {
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mHidlMemory = allocateSharedMemory(size);
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mMemory = mapMemory(mHidlMemory);
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if (mMemory == nullptr) {
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LOG(ERROR) << "Memory::create failed";
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return ANEURALNETWORKS_OP_FAILED;
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}
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return ANEURALNETWORKS_NO_ERROR;
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}
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bool Memory::validateSize(uint32_t offset, uint32_t length) const {
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if (offset + length > mHidlMemory.size()) {
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LOG(ERROR) << "Request size larger than the memory size.";
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return false;
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} else {
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return true;
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}
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}
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MemoryFd::~MemoryFd() {
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// Delete the native_handle.
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if (mHandle) {
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int fd = mHandle->data[0];
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if (fd != -1) {
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close(fd);
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}
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native_handle_delete(mHandle);
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}
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}
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int MemoryFd::set(size_t size, int prot, int fd, size_t offset) {
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if (fd < 0) {
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LOG(ERROR) << "ANeuralNetworksMemory_createFromFd invalid fd " << fd;
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return ANEURALNETWORKS_UNEXPECTED_NULL;
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}
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if (size == 0 || fd < 0) {
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LOG(ERROR) << "Invalid size or fd";
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return ANEURALNETWORKS_BAD_DATA;
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}
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int dupfd = dup(fd);
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if (dupfd == -1) {
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LOG(ERROR) << "Failed to dup the fd";
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return ANEURALNETWORKS_UNEXPECTED_NULL;
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}
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if (mHandle) {
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native_handle_delete(mHandle);
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}
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mHandle = native_handle_create(1, 3);
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if (mHandle == nullptr) {
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LOG(ERROR) << "Failed to create native_handle";
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return ANEURALNETWORKS_UNEXPECTED_NULL;
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}
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mHandle->data[0] = dupfd;
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mHandle->data[1] = prot;
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mHandle->data[2] = (int32_t)(uint32_t)(offset & 0xffffffff);
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#if defined(__LP64__)
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mHandle->data[3] = (int32_t)(uint32_t)(offset >> 32);
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#else
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mHandle->data[3] = 0;
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#endif
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mHidlMemory = hidl_memory("mmap_fd", mHandle, size);
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return ANEURALNETWORKS_NO_ERROR;
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}
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int MemoryFd::getPointer(uint8_t** buffer) const {
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if (mHandle == nullptr) {
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LOG(ERROR) << "Memory not initialized";
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return ANEURALNETWORKS_UNEXPECTED_NULL;
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}
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int fd = mHandle->data[0];
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int prot = mHandle->data[1];
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size_t offset = getSizeFromInts(mHandle->data[2], mHandle->data[3]);
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void* data = mmap(nullptr, mHidlMemory.size(), prot, MAP_SHARED, fd, offset);
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if (data == MAP_FAILED) {
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LOG(ERROR) << "Can't mmap the file descriptor.";
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return ANEURALNETWORKS_UNMAPPABLE;
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} else {
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*buffer = static_cast<uint8_t*>(data);
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return ANEURALNETWORKS_NO_ERROR;
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}
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}
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uint32_t MemoryTracker::add(const Memory* memory) {
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VLOG(MODEL) << __func__ << " for " << memory;
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// See if we already have this memory. If so,
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// return its index.
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auto i = mKnown.find(memory);
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if (i != mKnown.end()) {
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return i->second;
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}
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VLOG(MODEL) << "It's new";
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// It's a new one. Save it an assign an index to it.
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size_t next = mKnown.size();
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if (next > 0xFFFFFFFF) {
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LOG(ERROR) << "ANeuralNetworks more than 2^32 memories.";
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return ANEURALNETWORKS_BAD_DATA;
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}
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uint32_t idx = static_cast<uint32_t>(next);
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mKnown[memory] = idx;
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mMemories.push_back(memory);
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return idx;
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}
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} // namespace nn
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} // namespace android
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