Create NN AIDL Burst adapter am: 7a9d6092cd am: 4e6d013362 am: 9d0c3f1e77 (42d9f3f3) · Commits · e / os / android_hardware_interfaces

neuralnetworks/aidl/utils/Android.bp

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		@@ -34,7 +34,6 @@ cc_library_static {
		"libarect",
		"neuralnetworks_types",
		"neuralnetworks_utils_hal_common",
		"neuralnetworks_utils_hal_1_0",
		],
		shared_libs: [
		"android.hardware.neuralnetworks-V1-ndk_platform",

neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Burst.h

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		/*
		* Copyright (C) 2021 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.
		*/

		#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_BURST_H
		#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_BURST_H

		#include <aidl/android/hardware/neuralnetworks/IBurst.h>
		#include <android-base/scopeguard.h>
		#include <android-base/thread_annotations.h>
		#include <nnapi/IBurst.h>
		#include <nnapi/Result.h>
		#include <nnapi/Types.h>
		#include <nnapi/hal/CommonUtils.h>

		#include <atomic>
		#include <memory>
		#include <mutex>
		#include <optional>
		#include <unordered_map>
		#include <utility>

		// See hardware/interfaces/neuralnetworks/utils/README.md for more information on AIDL interface
		// lifetimes across processes and for protecting asynchronous calls across AIDL.

		namespace aidl::android::hardware::neuralnetworks::utils {

		// Class that adapts aidl_hal::IBurst to nn::IBurst.
		class Burst final : public nn::IBurst {
		struct PrivateConstructorTag {};

		public:
		/**
		* Thread-safe, self-cleaning cache that relates an nn::Memory object to a unique int64_t
		* identifier.
		*/
		class MemoryCache : public std::enable_shared_from_this<MemoryCache> {
		public:
		using Task = std::function<void()>;
		using Cleanup = ::android::base::ScopeGuard<Task>;
		using SharedCleanup = std::shared_ptr<const Cleanup>;
		using WeakCleanup = std::weak_ptr<const Cleanup>;

		explicit MemoryCache(std::shared_ptr<aidl_hal::IBurst> burst);

		/**
		* Get or cache a memory object in the MemoryCache object.
		*
		* @param memory Memory object to be cached while the returned `SharedCleanup` is alive.
		* @return A pair of (1) a unique identifier for the cache entry and (2) a ref-counted
		* "hold" object which preserves the cache as long as the hold object is alive.
		*/
		std::pair<int64_t, SharedCleanup> getOrCacheMemory(const nn::SharedMemory& memory);

		/**
		* Get a cached memory object in the MemoryCache object if it exists, otherwise
		* std::nullopt.
		*
		* @param memory Memory object to be cached while the returned `SharedCleanup` is alive.
		* @return A pair of (1) a unique identifier for the cache entry and (2) a ref-counted
		* "hold" object which preserves the cache as long as the hold object is alive. IF the
		* cache entry is not present, std::nullopt is returned instead.
		*/
		std::optional<std::pair<int64_t, SharedCleanup>> getMemoryIfAvailable(
		const nn::SharedMemory& memory);

		private:
		void tryFreeMemory(const nn::SharedMemory& memory, int64_t identifier);

		const std::shared_ptr<aidl_hal::IBurst> kBurst;
		std::mutex mMutex;
		int64_t mUnusedIdentifier GUARDED_BY(mMutex) = 0;
		std::unordered_map<nn::SharedMemory, std::pair<int64_t, WeakCleanup>> mCache
		GUARDED_BY(mMutex);
		};

		static nn::GeneralResult<std::shared_ptr<const Burst>> create(
		std::shared_ptr<aidl_hal::IBurst> burst);

		Burst(PrivateConstructorTag tag, std::shared_ptr<aidl_hal::IBurst> burst);

		// See IBurst::cacheMemory for information.
		OptionalCacheHold cacheMemory(const nn::SharedMemory& memory) const override;

		// See IBurst::execute for information.
		nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> execute(
		const nn::Request& request, nn::MeasureTiming measure,
		const nn::OptionalTimePoint& deadline,
		const nn::OptionalDuration& loopTimeoutDuration) const override;

		private:
		mutable std::atomic_flag mExecutionInFlight = ATOMIC_FLAG_INIT;
		const std::shared_ptr<aidl_hal::IBurst> kBurst;
		const std::shared_ptr<MemoryCache> kMemoryCache;
		};

		} // namespace aidl::android::hardware::neuralnetworks::utils

		#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_BURST_H

neuralnetworks/aidl/utils/include/nnapi/hal/aidl/PreparedModel.h

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		@@ -22,7 +22,6 @@
		#include <nnapi/Result.h>
		#include <nnapi/Types.h>
		#include <nnapi/hal/CommonUtils.h>
		#include <nnapi/hal/aidl/ProtectCallback.h>

		#include <memory>
		#include <tuple>
		@@ -35,8 +34,7 @@
		namespace aidl::android::hardware::neuralnetworks::utils {

		// Class that adapts aidl_hal::IPreparedModel to nn::IPreparedModel.
		class PreparedModel final : public nn::IPreparedModel,
		public std::enable_shared_from_this<PreparedModel> {
		class PreparedModel final : public nn::IPreparedModel {
		struct PrivateConstructorTag {};

		public:

neuralnetworks/aidl/utils/src/Burst.cpp

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		/*
		* Copyright (C) 2021 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 "Burst.h"

		#include "Conversions.h"
		#include "Utils.h"

		#include <android-base/logging.h>
		#include <android/binder_auto_utils.h>
		#include <nnapi/IBurst.h>
		#include <nnapi/Result.h>
		#include <nnapi/TypeUtils.h>
		#include <nnapi/Types.h>
		#include <nnapi/hal/HandleError.h>

		#include <memory>
		#include <mutex>
		#include <optional>
		#include <utility>

		namespace aidl::android::hardware::neuralnetworks::utils {
		namespace {

		nn::GeneralResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> convertExecutionResults(
		const std::vector<OutputShape>& outputShapes, const Timing& timing) {
		return std::make_pair(NN_TRY(nn::convert(outputShapes)), NN_TRY(nn::convert(timing)));
		}

		} // namespace

		Burst::MemoryCache::MemoryCache(std::shared_ptr<aidl_hal::IBurst> burst)
		: kBurst(std::move(burst)) {}

		std::pair<int64_t, Burst::MemoryCache::SharedCleanup> Burst::MemoryCache::getOrCacheMemory(
		const nn::SharedMemory& memory) {
		std::lock_guard lock(mMutex);

		// Get the cache payload or create it (with default values) if it does not exist.
		auto& cachedPayload = mCache[memory];
		{
		const auto& [identifier, maybeCleaner] = cachedPayload;
		// If cache payload already exists, reuse it.
		if (auto cleaner = maybeCleaner.lock()) {
		return std::make_pair(identifier, std::move(cleaner));
		}
		}

		// If the code reaches this point, the cached payload either did not exist or expired prior to
		// this call.

		// Allocate a new identifier.
		CHECK_LT(mUnusedIdentifier, std::numeric_limits<int64_t>::max());
		const int64_t identifier = mUnusedIdentifier++;

		// Create reference-counted self-cleaning cache object.
		auto self = weak_from_this();
		Task cleanup = [memory, identifier, maybeMemoryCache = std::move(self)] {
		if (const auto memoryCache = maybeMemoryCache.lock()) {
		memoryCache->tryFreeMemory(memory, identifier);
		}
		};
		auto cleaner = std::make_shared<const Cleanup>(std::move(cleanup));

		// Store the result in the cache and return it.
		auto result = std::make_pair(identifier, std::move(cleaner));
		cachedPayload = result;
		return result;
		}

		std::optional<std::pair<int64_t, Burst::MemoryCache::SharedCleanup>>
		Burst::MemoryCache::getMemoryIfAvailable(const nn::SharedMemory& memory) {
		std::lock_guard lock(mMutex);

		// Get the existing cached entry if it exists.
		const auto iter = mCache.find(memory);
		if (iter != mCache.end()) {
		const auto& [identifier, maybeCleaner] = iter->second;
		if (auto cleaner = maybeCleaner.lock()) {
		return std::make_pair(identifier, std::move(cleaner));
		}
		}

		// If the code reaches this point, the cached payload did not exist or was actively being
		// deleted.
		return std::nullopt;
		}

		void Burst::MemoryCache::tryFreeMemory(const nn::SharedMemory& memory, int64_t identifier) {
		{
		std::lock_guard guard(mMutex);
		// Remove the cached memory and payload if it is present but expired. Note that it may not
		// be present or may not be expired because another thread may have removed or cached the
		// same memory object before the current thread locked mMutex in tryFreeMemory.
		const auto iter = mCache.find(memory);
		if (iter != mCache.end()) {
		if (std::get<WeakCleanup>(iter->second).expired()) {
		mCache.erase(iter);
		}
		}
		}
		kBurst->releaseMemoryResource(identifier);
		}

		nn::GeneralResult<std::shared_ptr<const Burst>> Burst::create(
		std::shared_ptr<aidl_hal::IBurst> burst) {
		if (burst == nullptr) {
		return NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE)
		<< "aidl_hal::utils::Burst::create must have non-null burst";
		}

		return std::make_shared<const Burst>(PrivateConstructorTag{}, std::move(burst));
		}

		Burst::Burst(PrivateConstructorTag /tag/, std::shared_ptr<aidl_hal::IBurst> burst)
		: kBurst(std::move(burst)), kMemoryCache(std::make_shared<MemoryCache>(kBurst)) {
		CHECK(kBurst != nullptr);
		}

		Burst::OptionalCacheHold Burst::cacheMemory(const nn::SharedMemory& memory) const {
		auto [identifier, hold] = kMemoryCache->getOrCacheMemory(memory);
		return hold;
		}

		nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> Burst::execute(
		const nn::Request& request, nn::MeasureTiming measure,
		const nn::OptionalTimePoint& deadline,
		const nn::OptionalDuration& loopTimeoutDuration) const {
		// Ensure that at most one execution is in flight at any given time.
		const bool alreadyInFlight = mExecutionInFlight.test_and_set();
		if (alreadyInFlight) {
		return NN_ERROR() << "IBurst already has an execution in flight";
		}
		const auto guard = ::android::base::make_scope_guard([this] { mExecutionInFlight.clear(); });

		// Ensure that request is ready for IPC.
		std::optional<nn::Request> maybeRequestInShared;
		const nn::Request& requestInShared = NN_TRY(hal::utils::makeExecutionFailure(
		hal::utils::flushDataFromPointerToShared(&request, &maybeRequestInShared)));

		const auto aidlRequest = NN_TRY(hal::utils::makeExecutionFailure(convert(requestInShared)));
		const auto aidlMeasure = NN_TRY(hal::utils::makeExecutionFailure(convert(measure)));
		const auto aidlDeadline = NN_TRY(hal::utils::makeExecutionFailure(convert(deadline)));
		const auto aidlLoopTimeoutDuration =
		NN_TRY(hal::utils::makeExecutionFailure(convert(loopTimeoutDuration)));

		std::vector<int64_t> memoryIdentifierTokens;
		std::vector<OptionalCacheHold> holds;
		memoryIdentifierTokens.reserve(request.pools.size());
		holds.reserve(request.pools.size());
		for (const auto& memoryPool : request.pools) {
		if (const auto* memory = std::get_if<nn::SharedMemory>(&memoryPool)) {
		if (auto cached = kMemoryCache->getMemoryIfAvailable(*memory)) {
		auto& [identifier, hold] = *cached;
		memoryIdentifierTokens.push_back(identifier);
		holds.push_back(std::move(hold));
		continue;
		}
		}
		memoryIdentifierTokens.push_back(-1);
		}
		CHECK_EQ(request.pools.size(), memoryIdentifierTokens.size());

		ExecutionResult executionResult;
		const auto ret =
		kBurst->executeSynchronously(aidlRequest, memoryIdentifierTokens, aidlMeasure,
		aidlDeadline, aidlLoopTimeoutDuration, &executionResult);
		HANDLE_ASTATUS(ret) << "execute failed";
		if (!executionResult.outputSufficientSize) {
		auto canonicalOutputShapes =
		nn::convert(executionResult.outputShapes).value_or(std::vector<nn::OutputShape>{});
		return NN_ERROR(nn::ErrorStatus::OUTPUT_INSUFFICIENT_SIZE, std::move(canonicalOutputShapes))
		<< "execution failed with " << nn::ErrorStatus::OUTPUT_INSUFFICIENT_SIZE;
		}
		auto [outputShapes, timing] = NN_TRY(hal::utils::makeExecutionFailure(
		convertExecutionResults(executionResult.outputShapes, executionResult.timing)));

		NN_TRY(hal::utils::makeExecutionFailure(
		hal::utils::unflushDataFromSharedToPointer(request, maybeRequestInShared)));

		return std::make_pair(std::move(outputShapes), timing);
		}

		} // namespace aidl::android::hardware::neuralnetworks::utils

neuralnetworks/aidl/utils/src/PreparedModel.cpp

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		@@ -16,9 +16,9 @@

		#include "PreparedModel.h"

		#include "Burst.h"
		#include "Callbacks.h"
		#include "Conversions.h"
		#include "ProtectCallback.h"
		#include "Utils.h"

		#include <android/binder_auto_utils.h>
		@@ -26,7 +26,6 @@
		#include <nnapi/Result.h>
		#include <nnapi/TypeUtils.h>
		#include <nnapi/Types.h>
		#include <nnapi/hal/1.0/Burst.h>
		#include <nnapi/hal/CommonUtils.h>
		#include <nnapi/hal/HandleError.h>

		@@ -161,7 +160,10 @@ PreparedModel::executeFenced(const nn::Request& request, const std::vector<nn::S
		}

		nn::GeneralResult<nn::SharedBurst> PreparedModel::configureExecutionBurst() const {
		return hal::V1_0::utils::Burst::create(shared_from_this());
		std::shared_ptr<IBurst> burst;
		const auto ret = kPreparedModel->configureExecutionBurst(&burst);
		HANDLE_ASTATUS(ret) << "configureExecutionBurst failed";
		return Burst::create(std::move(burst));
		}

		std::any PreparedModel::getUnderlyingResource() const {