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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 "CommonUtils.h"
#include <android-base/logging.h>
#include <nnapi/Result.h>
#include <nnapi/SharedMemory.h>
#include <nnapi/TypeUtils.h>
#include <nnapi/Types.h>
#include <nnapi/Validation.h>
#include <algorithm>
#include <any>
#include <functional>
#include <optional>
#include <variant>
#include <vector>
namespace android::hardware::neuralnetworks::utils {
namespace {
bool hasNoPointerData(const nn::Operand& operand);
bool hasNoPointerData(const nn::Model::Subgraph& subgraph);
bool hasNoPointerData(const nn::Request::Argument& argument);
template <typename Type>
bool hasNoPointerData(const std::vector<Type>& objects) {
return std::all_of(objects.begin(), objects.end(),
[](const auto& object) { return hasNoPointerData(object); });
}
bool hasNoPointerData(const nn::DataLocation& location) {
return std::visit([](auto ptr) { return ptr == nullptr; }, location.pointer);
}
bool hasNoPointerData(const nn::Operand& operand) {
return hasNoPointerData(operand.location);
}
bool hasNoPointerData(const nn::Model::Subgraph& subgraph) {
return hasNoPointerData(subgraph.operands);
}
bool hasNoPointerData(const nn::Request::Argument& argument) {
return hasNoPointerData(argument.location);
}
void copyPointersToSharedMemory(nn::Operand* operand, nn::ConstantMemoryBuilder* memoryBuilder) {
CHECK(operand != nullptr);
CHECK(memoryBuilder != nullptr);
if (operand->lifetime != nn::Operand::LifeTime::POINTER) {
return;
}
const void* data = std::visit([](auto ptr) { return static_cast<const void*>(ptr); },
operand->location.pointer);
CHECK(data != nullptr);
operand->lifetime = nn::Operand::LifeTime::CONSTANT_REFERENCE;
operand->location = memoryBuilder->append(data, operand->location.length);
}
void copyPointersToSharedMemory(nn::Model::Subgraph* subgraph,
nn::ConstantMemoryBuilder* memoryBuilder) {
CHECK(subgraph != nullptr);
std::for_each(subgraph->operands.begin(), subgraph->operands.end(),
[memoryBuilder](auto& operand) {
copyPointersToSharedMemory(&operand, memoryBuilder);
});
}
} // anonymous namespace
nn::Capabilities::OperandPerformanceTable makeQuantized8PerformanceConsistentWithP(
const nn::Capabilities::PerformanceInfo& float32Performance,
const nn::Capabilities::PerformanceInfo& quantized8Performance) {
// In Android P, most data types are treated as having the same performance as
// TENSOR_QUANT8_ASYMM. This collection must be in sorted order.
std::vector<nn::Capabilities::OperandPerformance> operandPerformances = {
{.type = nn::OperandType::FLOAT32, .info = float32Performance},
{.type = nn::OperandType::INT32, .info = quantized8Performance},
{.type = nn::OperandType::UINT32, .info = quantized8Performance},
{.type = nn::OperandType::TENSOR_FLOAT32, .info = float32Performance},
{.type = nn::OperandType::TENSOR_INT32, .info = quantized8Performance},
{.type = nn::OperandType::TENSOR_QUANT8_ASYMM, .info = quantized8Performance},
{.type = nn::OperandType::OEM, .info = quantized8Performance},
{.type = nn::OperandType::TENSOR_OEM_BYTE, .info = quantized8Performance},
};
return nn::Capabilities::OperandPerformanceTable::create(std::move(operandPerformances))
.value();
}
bool hasNoPointerData(const nn::Model& model) {
return hasNoPointerData(model.main) && hasNoPointerData(model.referenced);
}
bool hasNoPointerData(const nn::Request& request) {
return hasNoPointerData(request.inputs) && hasNoPointerData(request.outputs);
}
nn::GeneralResult<std::reference_wrapper<const nn::Model>> flushDataFromPointerToShared(
const nn::Model* model, std::optional<nn::Model>* maybeModelInSharedOut) {
CHECK(model != nullptr);
CHECK(maybeModelInSharedOut != nullptr);
if (hasNoPointerData(*model)) {
return *model;
}
// Make a copy of the model in order to make modifications. The modified model is returned to
// the caller through `maybeModelInSharedOut` if the function succeeds.
nn::Model modelInShared = *model;
nn::ConstantMemoryBuilder memoryBuilder(modelInShared.pools.size());
copyPointersToSharedMemory(&modelInShared.main, &memoryBuilder);
std::for_each(modelInShared.referenced.begin(), modelInShared.referenced.end(),
[&memoryBuilder](auto& subgraph) {
copyPointersToSharedMemory(&subgraph, &memoryBuilder);
});
if (!memoryBuilder.empty()) {
auto memory = NN_TRY(memoryBuilder.finish());
modelInShared.pools.push_back(std::move(memory));
}
*maybeModelInSharedOut = modelInShared;
return **maybeModelInSharedOut;
}
template <>
void InputRelocationTracker::flush() const {
// Copy from pointers to shared memory.
uint8_t* memoryPtr = static_cast<uint8_t*>(std::get<void*>(kMapping.pointer));
for (const auto& [data, length, offset] : kRelocationInfos) {
std::memcpy(memoryPtr + offset, data, length);
}
}
template <>
void OutputRelocationTracker::flush() const {
// Copy from shared memory to pointers.
const uint8_t* memoryPtr = static_cast<const uint8_t*>(
std::visit([](auto ptr) { return static_cast<const void*>(ptr); }, kMapping.pointer));
for (const auto& [data, length, offset] : kRelocationInfos) {
std::memcpy(data, memoryPtr + offset, length);
}
}
nn::GeneralResult<std::reference_wrapper<const nn::Request>> convertRequestFromPointerToShared(
const nn::Request* request, uint32_t alignment, uint32_t padding,
std::optional<nn::Request>* maybeRequestInSharedOut, RequestRelocation* relocationOut) {
CHECK(request != nullptr);
CHECK(maybeRequestInSharedOut != nullptr);
CHECK(relocationOut != nullptr);
if (hasNoPointerData(*request)) {
return *request;
}
// Make a copy of the request in order to make modifications. The modified request is returned
// to the caller through `maybeRequestInSharedOut` if the function succeeds.
nn::Request requestInShared = *request;
RequestRelocation relocation;
// Change input pointers to shared memory.
nn::MutableMemoryBuilder inputBuilder(requestInShared.pools.size());
std::vector<InputRelocationInfo> inputRelocationInfos;
for (auto& input : requestInShared.inputs) {
const auto& location = input.location;
if (input.lifetime != nn::Request::Argument::LifeTime::POINTER) {
continue;
}
input.lifetime = nn::Request::Argument::LifeTime::POOL;
const void* data = std::visit([](auto ptr) { return static_cast<const void*>(ptr); },
location.pointer);
CHECK(data != nullptr);
input.location = inputBuilder.append(location.length, alignment, padding);
inputRelocationInfos.push_back({data, input.location.length, input.location.offset});
}
// Allocate input memory.
if (!inputBuilder.empty()) {
auto memory = NN_TRY(inputBuilder.finish());
requestInShared.pools.push_back(memory);
relocation.input = NN_TRY(
InputRelocationTracker::create(std::move(inputRelocationInfos), std::move(memory)));
}
// Change output pointers to shared memory.
nn::MutableMemoryBuilder outputBuilder(requestInShared.pools.size());
std::vector<OutputRelocationInfo> outputRelocationInfos;
for (auto& output : requestInShared.outputs) {
const auto& location = output.location;
if (output.lifetime != nn::Request::Argument::LifeTime::POINTER) {
continue;
}
output.lifetime = nn::Request::Argument::LifeTime::POOL;
void* data = std::get<void*>(location.pointer);
CHECK(data != nullptr);
output.location = outputBuilder.append(location.length, alignment, padding);
outputRelocationInfos.push_back({data, output.location.length, output.location.offset});
}
// Allocate output memory.
if (!outputBuilder.empty()) {
auto memory = NN_TRY(outputBuilder.finish());
requestInShared.pools.push_back(memory);
relocation.output = NN_TRY(OutputRelocationTracker::create(std::move(outputRelocationInfos),
std::move(memory)));
}
*maybeRequestInSharedOut = requestInShared;
*relocationOut = std::move(relocation);
return **maybeRequestInSharedOut;
}
} // namespace android::hardware::neuralnetworks::utils
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