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/*
* Copyright (C) 2017 The Android Open Source Project
*
* 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.
*/
#define LOG_TAG "Memory"
#include "Memory.h"
#include "HalInterfaces.h"
#include "Utils.h"
namespace android {
namespace nn {
int Memory::create(uint32_t size) {
mHidlMemory = allocateSharedMemory(size);
mMemory = mapMemory(mHidlMemory);
if (mMemory == nullptr) {
LOG(ERROR) << "Memory::create failed";
return ANEURALNETWORKS_OUT_OF_MEMORY;
}
return ANEURALNETWORKS_NO_ERROR;
}
bool Memory::validateSize(uint32_t offset, uint32_t length) const {
if (offset + length > mHidlMemory.size()) {
LOG(ERROR) << "Request size larger than the memory size.";
return false;
} else {
return true;
}
}
MemoryFd::~MemoryFd() {
// Unmap the memory.
if (mMapping) {
munmap(mMapping, mHidlMemory.size());
}
// Delete the native_handle.
if (mHandle) {
int fd = mHandle->data[0];
if (fd != -1) {
close(fd);
}
native_handle_delete(mHandle);
}
}
int MemoryFd::set(size_t size, int prot, int fd, size_t offset) {
if (fd < 0) {
LOG(ERROR) << "ANeuralNetworksMemory_createFromFd invalid fd " << fd;
return ANEURALNETWORKS_UNEXPECTED_NULL;
}
if (size == 0 || fd < 0) {
LOG(ERROR) << "Invalid size or fd";
return ANEURALNETWORKS_BAD_DATA;
}
int dupfd = dup(fd);
if (dupfd == -1) {
LOG(ERROR) << "Failed to dup the fd";
return ANEURALNETWORKS_UNEXPECTED_NULL;
}
if (mMapping) {
if (munmap(mMapping, mHidlMemory.size()) != 0) {
LOG(ERROR) << "Failed to remove the existing mapping";
// This is not actually fatal.
}
mMapping = nullptr;
}
if (mHandle) {
native_handle_delete(mHandle);
}
mHandle = native_handle_create(1, 3);
if (mHandle == nullptr) {
LOG(ERROR) << "Failed to create native_handle";
return ANEURALNETWORKS_UNEXPECTED_NULL;
}
mHandle->data[0] = dupfd;
mHandle->data[1] = prot;
mHandle->data[2] = (int32_t)(uint32_t)(offset & 0xffffffff);
#if defined(__LP64__)
mHandle->data[3] = (int32_t)(uint32_t)(offset >> 32);
#else
mHandle->data[3] = 0;
#endif
mHidlMemory = hidl_memory("mmap_fd", mHandle, size);
return ANEURALNETWORKS_NO_ERROR;
}
int MemoryFd::getPointer(uint8_t** buffer) const {
if (mMapping) {
*buffer = mMapping;
return ANEURALNETWORKS_NO_ERROR;
}
if (mHandle == nullptr) {
LOG(ERROR) << "Memory not initialized";
return ANEURALNETWORKS_UNEXPECTED_NULL;
}
int fd = mHandle->data[0];
int prot = mHandle->data[1];
size_t offset = getSizeFromInts(mHandle->data[2], mHandle->data[3]);
void* data = mmap(nullptr, mHidlMemory.size(), prot, MAP_SHARED, fd, offset);
if (data == MAP_FAILED) {
LOG(ERROR) << "MemoryFd::getPointer(): Can't mmap the file descriptor.";
return ANEURALNETWORKS_UNMAPPABLE;
} else {
mMapping = *buffer = static_cast<uint8_t*>(data);
return ANEURALNETWORKS_NO_ERROR;
}
}
uint32_t MemoryTracker::add(const Memory* memory) {
VLOG(MODEL) << __func__ << "(" << SHOW_IF_DEBUG(memory) << ")";
// See if we already have this memory. If so,
// return its index.
auto i = mKnown.find(memory);
if (i != mKnown.end()) {
return i->second;
}
VLOG(MODEL) << "It's new";
// It's a new one. Save it an assign an index to it.
size_t next = mKnown.size();
if (next > 0xFFFFFFFF) {
LOG(ERROR) << "ANeuralNetworks more than 2^32 memories.";
return ANEURALNETWORKS_BAD_DATA;
}
uint32_t idx = static_cast<uint32_t>(next);
mKnown[memory] = idx;
mMemories.push_back(memory);
return idx;
}
} // namespace nn
} // namespace android
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