Implement NNAPI canonical interfaces
This CL implements the canonical IDevice, IPreparedModel, and IBuffer
interfaces for the 1.0, 1.1, 1.2, and 1.3 NN HIDL HAL interfaces.
Further, it introduces "Resilient" adapter interfaces to automatically
retrieve a handle to a recovered interface object after it has died and
rebooted.
This CL also updates the conversion code from returning nn::Result to
nn::GeneralResult, which includes a ErrorStatus code in the case of an
error.
Finally, this CL introduces a new static library
neuralnetworks_utils_hal_service which consists of a single function
::android::nn::hal::getDevices which can be used by the NNAPI runtime to
retrieve the HIDL services without knowing the underlying HIDL types.
Bug: 160668438
Test: mma
Test: NeuralNetworksTest_static
Change-Id: Iec6ae739df196b4034ffb35ea76781fd541ffec3
diff --git a/neuralnetworks/utils/common/src/CommonUtils.cpp b/neuralnetworks/utils/common/src/CommonUtils.cpp
index 667189b..2565972 100644
--- a/neuralnetworks/utils/common/src/CommonUtils.cpp
+++ b/neuralnetworks/utils/common/src/CommonUtils.cpp
@@ -16,6 +16,8 @@
#include "CommonUtils.h"
+#include "HandleError.h"
+
#include <android-base/logging.h>
#include <nnapi/Result.h>
#include <nnapi/SharedMemory.h>
@@ -25,6 +27,7 @@
#include <algorithm>
#include <any>
+#include <functional>
#include <optional>
#include <variant>
#include <vector>
@@ -111,8 +114,18 @@
return hasNoPointerData(request.inputs) && hasNoPointerData(request.outputs);
}
-nn::Result<nn::Model> flushDataFromPointerToShared(const nn::Model& model) {
- auto modelInShared = model;
+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);
@@ -126,11 +139,22 @@
modelInShared.pools.push_back(std::move(memory));
}
- return modelInShared;
+ *maybeModelInSharedOut = modelInShared;
+ return **maybeModelInSharedOut;
}
-nn::Result<nn::Request> flushDataFromPointerToShared(const nn::Request& request) {
- auto requestInShared = request;
+nn::GeneralResult<std::reference_wrapper<const nn::Request>> flushDataFromPointerToShared(
+ const nn::Request* request, std::optional<nn::Request>* maybeRequestInSharedOut) {
+ CHECK(request != nullptr);
+ CHECK(maybeRequestInSharedOut != 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;
// Change input pointers to shared memory.
nn::ConstantMemoryBuilder inputBuilder(requestInShared.pools.size());
@@ -171,15 +195,17 @@
requestInShared.pools.push_back(std::move(memory));
}
- return requestInShared;
+ *maybeRequestInSharedOut = requestInShared;
+ return **maybeRequestInSharedOut;
}
-nn::Result<void> unflushDataFromSharedToPointer(const nn::Request& request,
- const nn::Request& requestInShared) {
- if (requestInShared.pools.empty() ||
- !std::holds_alternative<nn::Memory>(requestInShared.pools.back())) {
+nn::GeneralResult<void> unflushDataFromSharedToPointer(
+ const nn::Request& request, const std::optional<nn::Request>& maybeRequestInShared) {
+ if (!maybeRequestInShared.has_value() || maybeRequestInShared->pools.empty() ||
+ !std::holds_alternative<nn::Memory>(maybeRequestInShared->pools.back())) {
return {};
}
+ const auto& requestInShared = *maybeRequestInShared;
// Map the memory.
const auto& outputMemory = std::get<nn::Memory>(requestInShared.pools.back());
diff --git a/neuralnetworks/utils/common/src/ProtectCallback.cpp b/neuralnetworks/utils/common/src/ProtectCallback.cpp
new file mode 100644
index 0000000..1d9a307
--- /dev/null
+++ b/neuralnetworks/utils/common/src/ProtectCallback.cpp
@@ -0,0 +1,95 @@
+/*
+ * 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 "ProtectCallback.h"
+
+#include <android-base/logging.h>
+#include <android-base/scopeguard.h>
+#include <android-base/thread_annotations.h>
+#include <android/hidl/base/1.0/IBase.h>
+#include <hidl/HidlSupport.h>
+#include <nnapi/Result.h>
+#include <nnapi/hal/HandleError.h>
+
+#include <algorithm>
+#include <functional>
+#include <mutex>
+#include <vector>
+
+namespace android::hardware::neuralnetworks::utils {
+
+void DeathRecipient::serviceDied(uint64_t /*cookie*/, const wp<hidl::base::V1_0::IBase>& /*who*/) {
+ std::lock_guard guard(mMutex);
+ std::for_each(mObjects.begin(), mObjects.end(),
+ [](IProtectedCallback* killable) { killable->notifyAsDeadObject(); });
+}
+
+void DeathRecipient::add(IProtectedCallback* killable) const {
+ CHECK(killable != nullptr);
+ std::lock_guard guard(mMutex);
+ mObjects.push_back(killable);
+}
+
+void DeathRecipient::remove(IProtectedCallback* killable) const {
+ CHECK(killable != nullptr);
+ std::lock_guard guard(mMutex);
+ const auto removedIter = std::remove(mObjects.begin(), mObjects.end(), killable);
+ mObjects.erase(removedIter);
+}
+
+nn::GeneralResult<DeathHandler> DeathHandler::create(sp<hidl::base::V1_0::IBase> object) {
+ if (object == nullptr) {
+ return NN_ERROR(nn::ErrorStatus::INVALID_ARGUMENT)
+ << "utils::DeathHandler::create must have non-null object";
+ }
+ auto deathRecipient = sp<DeathRecipient>::make();
+
+ const auto ret = object->linkToDeath(deathRecipient, /*cookie=*/0);
+ const bool success = NN_TRY(handleTransportError(ret));
+ if (!success) {
+ return NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE) << "IBase::linkToDeath returned false";
+ }
+
+ return DeathHandler(std::move(object), std::move(deathRecipient));
+}
+
+DeathHandler::DeathHandler(sp<hidl::base::V1_0::IBase> object, sp<DeathRecipient> deathRecipient)
+ : kObject(std::move(object)), kDeathRecipient(std::move(deathRecipient)) {
+ CHECK(kObject != nullptr);
+ CHECK(kDeathRecipient != nullptr);
+}
+
+DeathHandler::~DeathHandler() {
+ if (kObject != nullptr && kDeathRecipient != nullptr) {
+ const auto ret = kObject->unlinkToDeath(kDeathRecipient);
+ const auto maybeSuccess = handleTransportError(ret);
+ if (!maybeSuccess.has_value()) {
+ LOG(ERROR) << maybeSuccess.error().message;
+ } else if (!maybeSuccess.value()) {
+ LOG(ERROR) << "IBase::linkToDeath returned false";
+ }
+ }
+}
+
+[[nodiscard]] base::ScopeGuard<DeathHandler::Cleanup> DeathHandler::protectCallback(
+ IProtectedCallback* killable) const {
+ CHECK(killable != nullptr);
+ kDeathRecipient->add(killable);
+ return base::make_scope_guard(
+ [deathRecipient = kDeathRecipient, killable] { deathRecipient->remove(killable); });
+}
+
+} // namespace android::hardware::neuralnetworks::utils
diff --git a/neuralnetworks/utils/common/src/ResilientBuffer.cpp b/neuralnetworks/utils/common/src/ResilientBuffer.cpp
new file mode 100644
index 0000000..984295b
--- /dev/null
+++ b/neuralnetworks/utils/common/src/ResilientBuffer.cpp
@@ -0,0 +1,75 @@
+/*
+ * 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 "ResilientBuffer.h"
+
+#include <android-base/logging.h>
+#include <android-base/thread_annotations.h>
+#include <nnapi/IBuffer.h>
+#include <nnapi/Result.h>
+#include <nnapi/Types.h>
+
+#include <functional>
+#include <memory>
+#include <mutex>
+#include <utility>
+#include <vector>
+
+namespace android::hardware::neuralnetworks::utils {
+
+nn::GeneralResult<std::shared_ptr<const ResilientBuffer>> ResilientBuffer::create(
+ Factory makeBuffer) {
+ if (makeBuffer == nullptr) {
+ return NN_ERROR(nn::ErrorStatus::INVALID_ARGUMENT)
+ << "utils::ResilientBuffer::create must have non-empty makeBuffer";
+ }
+ auto buffer = NN_TRY(makeBuffer(/*blocking=*/true));
+ CHECK(buffer != nullptr);
+ return std::make_shared<const ResilientBuffer>(PrivateConstructorTag{}, std::move(makeBuffer),
+ std::move(buffer));
+}
+
+ResilientBuffer::ResilientBuffer(PrivateConstructorTag /*tag*/, Factory makeBuffer,
+ nn::SharedBuffer buffer)
+ : kMakeBuffer(std::move(makeBuffer)), mBuffer(std::move(buffer)) {
+ CHECK(kMakeBuffer != nullptr);
+ CHECK(mBuffer != nullptr);
+}
+
+nn::SharedBuffer ResilientBuffer::getBuffer() const {
+ std::lock_guard guard(mMutex);
+ return mBuffer;
+}
+nn::SharedBuffer ResilientBuffer::recover(const nn::IBuffer* /*failingBuffer*/,
+ bool /*blocking*/) const {
+ std::lock_guard guard(mMutex);
+ return mBuffer;
+}
+
+nn::Request::MemoryDomainToken ResilientBuffer::getToken() const {
+ return getBuffer()->getToken();
+}
+
+nn::GeneralResult<void> ResilientBuffer::copyTo(const nn::Memory& dst) const {
+ return getBuffer()->copyTo(dst);
+}
+
+nn::GeneralResult<void> ResilientBuffer::copyFrom(const nn::Memory& src,
+ const nn::Dimensions& dimensions) const {
+ return getBuffer()->copyFrom(src, dimensions);
+}
+
+} // namespace android::hardware::neuralnetworks::utils
diff --git a/neuralnetworks/utils/common/src/ResilientDevice.cpp b/neuralnetworks/utils/common/src/ResilientDevice.cpp
new file mode 100644
index 0000000..95662d9
--- /dev/null
+++ b/neuralnetworks/utils/common/src/ResilientDevice.cpp
@@ -0,0 +1,236 @@
+/*
+ * 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 "ResilientDevice.h"
+
+#include "ResilientBuffer.h"
+#include "ResilientPreparedModel.h"
+
+#include <android-base/logging.h>
+#include <nnapi/IBuffer.h>
+#include <nnapi/IDevice.h>
+#include <nnapi/IPreparedModel.h>
+#include <nnapi/Result.h>
+#include <nnapi/TypeUtils.h>
+#include <nnapi/Types.h>
+
+#include <algorithm>
+#include <memory>
+#include <string>
+#include <vector>
+
+namespace android::hardware::neuralnetworks::utils {
+namespace {
+
+template <typename FnType>
+auto protect(const ResilientDevice& resilientDevice, const FnType& fn, bool blocking)
+ -> decltype(fn(*resilientDevice.getDevice())) {
+ auto device = resilientDevice.getDevice();
+ auto result = fn(*device);
+
+ // Immediately return if device is not dead.
+ if (result.has_value() || result.error().code != nn::ErrorStatus::DEAD_OBJECT) {
+ return result;
+ }
+
+ device = resilientDevice.recover(device.get(), blocking);
+ return fn(*device);
+}
+
+} // namespace
+
+nn::GeneralResult<std::shared_ptr<const ResilientDevice>> ResilientDevice::create(
+ Factory makeDevice) {
+ if (makeDevice == nullptr) {
+ return NN_ERROR(nn::ErrorStatus::INVALID_ARGUMENT)
+ << "utils::ResilientDevice::create must have non-empty makeDevice";
+ }
+ auto device = NN_TRY(makeDevice(/*blocking=*/true));
+ CHECK(device != nullptr);
+
+ auto name = device->getName();
+ auto versionString = device->getVersionString();
+ auto extensions = device->getSupportedExtensions();
+ auto capabilities = device->getCapabilities();
+
+ return std::make_shared<ResilientDevice>(PrivateConstructorTag{}, std::move(makeDevice),
+ std::move(name), std::move(versionString),
+ std::move(extensions), std::move(capabilities),
+ std::move(device));
+}
+
+ResilientDevice::ResilientDevice(PrivateConstructorTag /*tag*/, Factory makeDevice,
+ std::string name, std::string versionString,
+ std::vector<nn::Extension> extensions,
+ nn::Capabilities capabilities, nn::SharedDevice device)
+ : kMakeDevice(std::move(makeDevice)),
+ kName(std::move(name)),
+ kVersionString(std::move(versionString)),
+ kExtensions(std::move(extensions)),
+ kCapabilities(std::move(capabilities)),
+ mDevice(std::move(device)) {
+ CHECK(kMakeDevice != nullptr);
+ CHECK(mDevice != nullptr);
+}
+
+nn::SharedDevice ResilientDevice::getDevice() const {
+ std::lock_guard guard(mMutex);
+ return mDevice;
+}
+
+nn::SharedDevice ResilientDevice::recover(const nn::IDevice* failingDevice, bool blocking) const {
+ std::lock_guard guard(mMutex);
+
+ // Another caller updated the failing device.
+ if (mDevice.get() != failingDevice) {
+ return mDevice;
+ }
+
+ auto maybeDevice = kMakeDevice(blocking);
+ if (!maybeDevice.has_value()) {
+ const auto& [message, code] = maybeDevice.error();
+ LOG(ERROR) << "Failed to recover dead device with error " << code << ": " << message;
+ return mDevice;
+ }
+ auto device = std::move(maybeDevice).value();
+
+ // TODO(b/173081926): Instead of CHECKing to ensure the cache has not been changed, return an
+ // invalid/"null" IDevice object that always fails.
+ CHECK_EQ(kName, device->getName());
+ CHECK_EQ(kVersionString, device->getVersionString());
+ CHECK(kExtensions == device->getSupportedExtensions());
+ CHECK_EQ(kCapabilities, device->getCapabilities());
+
+ mDevice = std::move(device);
+ return mDevice;
+}
+
+const std::string& ResilientDevice::getName() const {
+ return kName;
+}
+
+const std::string& ResilientDevice::getVersionString() const {
+ return kVersionString;
+}
+
+nn::Version ResilientDevice::getFeatureLevel() const {
+ return getDevice()->getFeatureLevel();
+}
+
+nn::DeviceType ResilientDevice::getType() const {
+ return getDevice()->getType();
+}
+
+const std::vector<nn::Extension>& ResilientDevice::getSupportedExtensions() const {
+ return kExtensions;
+}
+
+const nn::Capabilities& ResilientDevice::getCapabilities() const {
+ return kCapabilities;
+}
+
+std::pair<uint32_t, uint32_t> ResilientDevice::getNumberOfCacheFilesNeeded() const {
+ return getDevice()->getNumberOfCacheFilesNeeded();
+}
+
+nn::GeneralResult<void> ResilientDevice::wait() const {
+ const auto fn = [](const nn::IDevice& device) { return device.wait(); };
+ return protect(*this, fn, /*blocking=*/true);
+}
+
+nn::GeneralResult<std::vector<bool>> ResilientDevice::getSupportedOperations(
+ const nn::Model& model) const {
+ const auto fn = [&model](const nn::IDevice& device) {
+ return device.getSupportedOperations(model);
+ };
+ return protect(*this, fn, /*blocking=*/false);
+}
+
+nn::GeneralResult<nn::SharedPreparedModel> ResilientDevice::prepareModel(
+ const nn::Model& model, nn::ExecutionPreference preference, nn::Priority priority,
+ nn::OptionalTimePoint deadline, const std::vector<nn::NativeHandle>& modelCache,
+ const std::vector<nn::NativeHandle>& dataCache, const nn::CacheToken& token) const {
+ auto self = shared_from_this();
+ ResilientPreparedModel::Factory makePreparedModel =
+ [device = std::move(self), model, preference, priority, deadline, modelCache, dataCache,
+ token](bool blocking) -> nn::GeneralResult<nn::SharedPreparedModel> {
+ return device->prepareModelInternal(blocking, model, preference, priority, deadline,
+ modelCache, dataCache, token);
+ };
+ return ResilientPreparedModel::create(std::move(makePreparedModel));
+}
+
+nn::GeneralResult<nn::SharedPreparedModel> ResilientDevice::prepareModelFromCache(
+ nn::OptionalTimePoint deadline, const std::vector<nn::NativeHandle>& modelCache,
+ const std::vector<nn::NativeHandle>& dataCache, const nn::CacheToken& token) const {
+ auto self = shared_from_this();
+ ResilientPreparedModel::Factory makePreparedModel =
+ [device = std::move(self), deadline, modelCache, dataCache,
+ token](bool blocking) -> nn::GeneralResult<nn::SharedPreparedModel> {
+ return device->prepareModelFromCacheInternal(blocking, deadline, modelCache, dataCache,
+ token);
+ };
+ return ResilientPreparedModel::create(std::move(makePreparedModel));
+}
+
+nn::GeneralResult<nn::SharedBuffer> ResilientDevice::allocate(
+ const nn::BufferDesc& desc, const std::vector<nn::SharedPreparedModel>& preparedModels,
+ const std::vector<nn::BufferRole>& inputRoles,
+ const std::vector<nn::BufferRole>& outputRoles) const {
+ auto self = shared_from_this();
+ ResilientBuffer::Factory makeBuffer =
+ [device = std::move(self), desc, preparedModels, inputRoles,
+ outputRoles](bool blocking) -> nn::GeneralResult<nn::SharedBuffer> {
+ return device->allocateInternal(blocking, desc, preparedModels, inputRoles, outputRoles);
+ };
+ return ResilientBuffer::create(std::move(makeBuffer));
+}
+
+nn::GeneralResult<nn::SharedPreparedModel> ResilientDevice::prepareModelInternal(
+ bool blocking, const nn::Model& model, nn::ExecutionPreference preference,
+ nn::Priority priority, nn::OptionalTimePoint deadline,
+ const std::vector<nn::NativeHandle>& modelCache,
+ const std::vector<nn::NativeHandle>& dataCache, const nn::CacheToken& token) const {
+ const auto fn = [&model, preference, priority, deadline, &modelCache, &dataCache,
+ token](const nn::IDevice& device) {
+ return device.prepareModel(model, preference, priority, deadline, modelCache, dataCache,
+ token);
+ };
+ return protect(*this, fn, blocking);
+}
+
+nn::GeneralResult<nn::SharedPreparedModel> ResilientDevice::prepareModelFromCacheInternal(
+ bool blocking, nn::OptionalTimePoint deadline,
+ const std::vector<nn::NativeHandle>& modelCache,
+ const std::vector<nn::NativeHandle>& dataCache, const nn::CacheToken& token) const {
+ const auto fn = [deadline, &modelCache, &dataCache, token](const nn::IDevice& device) {
+ return device.prepareModelFromCache(deadline, modelCache, dataCache, token);
+ };
+ return protect(*this, fn, blocking);
+}
+
+nn::GeneralResult<nn::SharedBuffer> ResilientDevice::allocateInternal(
+ bool blocking, const nn::BufferDesc& desc,
+ const std::vector<nn::SharedPreparedModel>& preparedModels,
+ const std::vector<nn::BufferRole>& inputRoles,
+ const std::vector<nn::BufferRole>& outputRoles) const {
+ const auto fn = [&desc, &preparedModels, &inputRoles, &outputRoles](const nn::IDevice& device) {
+ return device.allocate(desc, preparedModels, inputRoles, outputRoles);
+ };
+ return protect(*this, fn, blocking);
+}
+
+} // namespace android::hardware::neuralnetworks::utils
diff --git a/neuralnetworks/utils/common/src/ResilientPreparedModel.cpp b/neuralnetworks/utils/common/src/ResilientPreparedModel.cpp
new file mode 100644
index 0000000..1c9ecba
--- /dev/null
+++ b/neuralnetworks/utils/common/src/ResilientPreparedModel.cpp
@@ -0,0 +1,85 @@
+/*
+ * 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 "ResilientPreparedModel.h"
+
+#include <android-base/logging.h>
+#include <android-base/thread_annotations.h>
+#include <nnapi/IPreparedModel.h>
+#include <nnapi/Result.h>
+#include <nnapi/Types.h>
+
+#include <functional>
+#include <memory>
+#include <mutex>
+#include <utility>
+#include <vector>
+
+namespace android::hardware::neuralnetworks::utils {
+
+nn::GeneralResult<std::shared_ptr<const ResilientPreparedModel>> ResilientPreparedModel::create(
+ Factory makePreparedModel) {
+ if (makePreparedModel == nullptr) {
+ return NN_ERROR(nn::ErrorStatus::INVALID_ARGUMENT)
+ << "utils::ResilientPreparedModel::create must have non-empty makePreparedModel";
+ }
+ auto preparedModel = NN_TRY(makePreparedModel(/*blocking=*/true));
+ CHECK(preparedModel != nullptr);
+ return std::make_shared<ResilientPreparedModel>(
+ PrivateConstructorTag{}, std::move(makePreparedModel), std::move(preparedModel));
+}
+
+ResilientPreparedModel::ResilientPreparedModel(PrivateConstructorTag /*tag*/,
+ Factory makePreparedModel,
+ nn::SharedPreparedModel preparedModel)
+ : kMakePreparedModel(std::move(makePreparedModel)), mPreparedModel(std::move(preparedModel)) {
+ CHECK(kMakePreparedModel != nullptr);
+ CHECK(mPreparedModel != nullptr);
+}
+
+nn::SharedPreparedModel ResilientPreparedModel::getPreparedModel() const {
+ std::lock_guard guard(mMutex);
+ return mPreparedModel;
+}
+
+nn::SharedPreparedModel ResilientPreparedModel::recover(
+ const nn::IPreparedModel* /*failingPreparedModel*/, bool /*blocking*/) const {
+ std::lock_guard guard(mMutex);
+ return mPreparedModel;
+}
+
+nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>>
+ResilientPreparedModel::execute(const nn::Request& request, nn::MeasureTiming measure,
+ const nn::OptionalTimePoint& deadline,
+ const nn::OptionalTimeoutDuration& loopTimeoutDuration) const {
+ return getPreparedModel()->execute(request, measure, deadline, loopTimeoutDuration);
+}
+
+nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>>
+ResilientPreparedModel::executeFenced(
+ const nn::Request& request, const std::vector<nn::SyncFence>& waitFor,
+ nn::MeasureTiming measure, const nn::OptionalTimePoint& deadline,
+ const nn::OptionalTimeoutDuration& loopTimeoutDuration,
+ const nn::OptionalTimeoutDuration& timeoutDurationAfterFence) const {
+ return getPreparedModel()->executeFenced(request, waitFor, measure, deadline,
+ loopTimeoutDuration, timeoutDurationAfterFence);
+}
+
+std::any ResilientPreparedModel::getUnderlyingResource() const {
+ return getPreparedModel()->getUnderlyingResource();
+}
+
+} // namespace android::hardware::neuralnetworks::utils