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/*
* Copyright (C) 2020 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.
*/
#include "AidlBufferTracker.h"
#include <android-base/macros.h>
#include <memory>
#include <mutex>
#include <set>
#include <stack>
#include <utility>
#include <vector>
#include "AidlHalInterfaces.h"
#include "CpuExecutor.h"
#include "nnapi/TypeUtils.h"
namespace android::nn {
std::shared_ptr<AidlManagedBuffer> AidlManagedBuffer::create(
uint32_t size, std::set<AidlHalPreparedModelRole> roles, const Operand& operand) {
std::unique_ptr<uint8_t[]> buffer(new (std::nothrow) uint8_t[size]);
if (buffer == nullptr) {
return nullptr;
}
if (isExtension(operand.type)) {
LOG(ERROR) << "AidlManagedBuffer cannot handle extension operands.";
return nullptr;
}
return std::make_shared<AidlManagedBuffer>(std::move(buffer), size, std::move(roles), operand);
}
AidlManagedBuffer::AidlManagedBuffer(std::unique_ptr<uint8_t[]> buffer, uint32_t size,
std::set<AidlHalPreparedModelRole> roles,
const Operand& operand)
: kBuffer(std::move(buffer)),
kSize(size),
kRoles(std::move(roles)),
kOperandType(operand.type),
kInitialDimensions(operand.dimensions),
mUpdatedDimensions(operand.dimensions) {
CHECK(!isExtension(kOperandType));
}
ErrorStatus AidlManagedBuffer::validateRequest(
uint32_t poolIndex, const Request& request,
const aidl_hal::IPreparedModel* preparedModel) const {
CHECK_LT(poolIndex, request.pools.size());
CHECK(std::holds_alternative<Request::MemoryDomainToken>(request.pools[poolIndex]));
std::lock_guard<std::mutex> guard(mMutex);
bool usedAsInput = false, usedAsOutput = false;
for (uint32_t i = 0; i < request.inputs.size(); i++) {
if (request.inputs[i].lifetime != Request::Argument::LifeTime::POOL) continue;
if (request.inputs[i].location.poolIndex != poolIndex) continue;
// Validate if the input role is specified during allocation.
if (kRoles.count({preparedModel, IOType::INPUT, i}) == 0) {
LOG(ERROR) << "AidlManagedBuffer::validateRequest -- invalid buffer role.";
return ErrorStatus::INVALID_ARGUMENT;
}
if (!mInitialized) {
LOG(ERROR)
<< "AidlManagedBuffer::validateRequest -- using uninitialized buffer as input "
"request.";
return ErrorStatus::GENERAL_FAILURE;
}
auto combined = combineDimensions(mUpdatedDimensions, request.inputs[i].dimensions);
if (!combined.has_value()) {
LOG(ERROR) << "AidlManagedBuffer::validateRequest -- incompatible dimensions ("
<< toString(mUpdatedDimensions) << " vs "
<< toString(request.inputs[i].dimensions) << ")";
return ErrorStatus::INVALID_ARGUMENT;
}
usedAsInput = true;
}
for (uint32_t i = 0; i < request.outputs.size(); i++) {
if (request.outputs[i].lifetime != Request::Argument::LifeTime::POOL) continue;
if (request.outputs[i].location.poolIndex != poolIndex) continue;
if (usedAsInput || usedAsOutput) {
LOG(ERROR) << "AidlManagedBuffer::validateRequest -- using the same device memory for "
"input/output or multiple outputs";
return ErrorStatus::INVALID_ARGUMENT;
}
// Validate if the output role is specified during allocation.
if (kRoles.count({preparedModel, IOType::OUTPUT, i}) == 0) {
LOG(ERROR) << "AidlManagedBuffer::validateRequest -- invalid buffer role.";
return ErrorStatus::INVALID_ARGUMENT;
}
auto combined = combineDimensions(kInitialDimensions, request.outputs[i].dimensions);
if (!combined.has_value()) {
LOG(ERROR) << "AidlManagedBuffer::validateRequest -- incompatible dimensions ("
<< toString(kInitialDimensions) << " vs "
<< toString(request.outputs[i].dimensions) << ")";
return ErrorStatus::INVALID_ARGUMENT;
}
usedAsOutput = true;
}
return ErrorStatus::NONE;
}
ErrorStatus AidlManagedBuffer::validateCopyFrom(const std::vector<uint32_t>& dimensions,
uint32_t size) const {
if (size != kSize) {
LOG(ERROR) << "AidlManagedBuffer::validateCopyFrom -- invalid memory size: " << kSize
<< " vs " << size;
return ErrorStatus::INVALID_ARGUMENT;
}
if (nonExtensionOperandTypeIsScalar(static_cast<int>(kOperandType))) {
if (!dimensions.empty()) {
LOG(ERROR) << "AidlManagedBuffer::validateCopyFrom -- invalid dimensions for scalar "
"operand: "
<< toString(dimensions);
return ErrorStatus::INVALID_ARGUMENT;
}
return ErrorStatus::NONE;
}
if (dimensions.empty()) {
if (tensorHasUnspecifiedDimensions(kOperandType, kInitialDimensions)) {
LOG(ERROR) << "AidlManagedBuffer::validateCopyFrom -- the initial dimensions are not "
"fully "
"specified and no dimension update is provided: "
<< toString(kInitialDimensions);
return ErrorStatus::INVALID_ARGUMENT;
}
} else {
if (tensorHasUnspecifiedDimensions(kOperandType, dimensions)) {
LOG(ERROR) << "AidlManagedBuffer::validateCopyFrom -- the updated dimensions are not "
"fully "
"specified: "
<< toString(dimensions);
return ErrorStatus::INVALID_ARGUMENT;
}
}
const auto combined = combineDimensions(kInitialDimensions, dimensions);
if (!combined.has_value()) {
LOG(ERROR) << "AidlManagedBuffer::validateCopyFrom -- incompatible dimensions ("
<< toString(kInitialDimensions) << " vs " << toString(dimensions) << ")";
return ErrorStatus::INVALID_ARGUMENT;
}
return ErrorStatus::NONE;
}
ErrorStatus AidlManagedBuffer::validateCopyTo(uint32_t size) const {
if (size != kSize) {
LOG(ERROR) << "AidlManagedBuffer::validateCopyTo -- invalid memory size: " << kSize
<< " vs " << size;
return ErrorStatus::INVALID_ARGUMENT;
}
std::lock_guard<std::mutex> guard(mMutex);
if (!mInitialized) {
LOG(ERROR) << "AidlManagedBuffer::validateCopyTo -- using uninitialized buffer as source.";
return ErrorStatus::GENERAL_FAILURE;
}
return ErrorStatus::NONE;
}
bool AidlManagedBuffer::updateDimensions(const std::vector<uint32_t>& dimensions) {
auto combined = combineDimensions(kInitialDimensions, dimensions);
if (!combined.has_value()) {
LOG(ERROR) << "AidlManagedBuffer::updateDimensions -- incompatible dimensions ("
<< toString(kInitialDimensions) << " vs " << toString(dimensions) << ")";
return false;
}
std::lock_guard<std::mutex> guard(mMutex);
mUpdatedDimensions = std::move(combined).value();
return true;
}
void AidlManagedBuffer::setInitialized(bool initialized) {
std::lock_guard<std::mutex> guard(mMutex);
mInitialized = initialized;
}
std::unique_ptr<AidlBufferTracker::Token> AidlBufferTracker::add(
std::shared_ptr<AidlManagedBuffer> buffer) {
if (buffer == nullptr) {
return nullptr;
}
std::lock_guard<std::mutex> guard(mMutex);
uint32_t token = 0;
if (mFreeTokens.empty()) {
token = mTokenToBuffers.size();
mTokenToBuffers.push_back(std::move(buffer));
} else {
token = mFreeTokens.top();
mFreeTokens.pop();
mTokenToBuffers[token] = std::move(buffer);
}
VLOG(MEMORY) << "AidlBufferTracker::add -- new token = " << token;
return std::make_unique<Token>(token, shared_from_this());
}
std::shared_ptr<AidlManagedBuffer> AidlBufferTracker::get(uint32_t token) const {
std::lock_guard<std::mutex> guard(mMutex);
if (mTokenToBuffers.size() <= token || mTokenToBuffers[token] == nullptr) {
LOG(ERROR) << "AidlBufferTracker::get -- unknown token " << token;
return nullptr;
}
return mTokenToBuffers[token];
}
void AidlBufferTracker::free(uint32_t token) {
std::lock_guard<std::mutex> guard(mMutex);
CHECK_LT(token, mTokenToBuffers.size());
CHECK(mTokenToBuffers[token] != nullptr);
VLOG(MEMORY) << "AidlBufferTracker::free -- release token = " << token;
mTokenToBuffers[token] = nullptr;
mFreeTokens.push(token);
}
} // namespace android::nn