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Diffstat (limited to 'neuralnetworks/utils/adapter/src/Device.cpp')
| -rw-r--r-- | neuralnetworks/utils/adapter/src/Device.cpp | 556 |
1 files changed, 556 insertions, 0 deletions
diff --git a/neuralnetworks/utils/adapter/src/Device.cpp b/neuralnetworks/utils/adapter/src/Device.cpp new file mode 100644 index 0000000000..96142c3577 --- /dev/null +++ b/neuralnetworks/utils/adapter/src/Device.cpp @@ -0,0 +1,556 @@ +/* + * 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 "Device.h" + +#include "Buffer.h" +#include "PreparedModel.h" + +#include <android-base/logging.h> +#include <android/hardware/neuralnetworks/1.0/IPreparedModelCallback.h> +#include <android/hardware/neuralnetworks/1.0/types.h> +#include <android/hardware/neuralnetworks/1.1/types.h> +#include <android/hardware/neuralnetworks/1.2/IPreparedModelCallback.h> +#include <android/hardware/neuralnetworks/1.2/types.h> +#include <android/hardware/neuralnetworks/1.3/IDevice.h> +#include <android/hardware/neuralnetworks/1.3/IPreparedModelCallback.h> +#include <android/hardware/neuralnetworks/1.3/types.h> +#include <hwbinder/IPCThreadState.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 <nnapi/hal/1.0/Conversions.h> +#include <nnapi/hal/1.0/Utils.h> +#include <nnapi/hal/1.1/Conversions.h> +#include <nnapi/hal/1.1/Utils.h> +#include <nnapi/hal/1.2/Conversions.h> +#include <nnapi/hal/1.2/Utils.h> +#include <nnapi/hal/1.3/Conversions.h> +#include <nnapi/hal/1.3/Utils.h> +#include <sys/types.h> + +#include <memory> + +// See hardware/interfaces/neuralnetworks/utils/README.md for more information on HIDL interface +// lifetimes across processes and for protecting asynchronous calls across HIDL. + +namespace android::hardware::neuralnetworks::adapter { +namespace { + +template <typename Type> +auto convertInput(const Type& object) -> decltype(nn::convert(std::declval<Type>())) { + auto result = nn::convert(object); + if (!result.has_value()) { + result.error().code = nn::ErrorStatus::INVALID_ARGUMENT; + } + return result; +} + +using PrepareModelResult = nn::GeneralResult<nn::SharedPreparedModel>; + +sp<PreparedModel> adaptPreparedModel(nn::SharedPreparedModel preparedModel, Executor executor, + uid_t userId) { + if (preparedModel == nullptr) { + return nullptr; + } + return sp<PreparedModel>::make(std::move(preparedModel), std::move(executor), userId); +} + +void notify(V1_0::IPreparedModelCallback* callback, nn::ErrorStatus status, + const sp<PreparedModel>& hidlPreparedModel) { + if (callback != nullptr) { + const auto hidlStatus = V1_0::utils::convert(status).value(); + const auto ret = callback->notify(hidlStatus, hidlPreparedModel); + if (!ret.isOk()) { + LOG(ERROR) << "V1_0::IPreparedModelCallback::notify failed with " << ret.description(); + } + } +} + +void notify(V1_2::IPreparedModelCallback* callback, nn::ErrorStatus status, + const sp<PreparedModel>& hidlPreparedModel) { + if (callback != nullptr) { + const auto hidlStatus = V1_2::utils::convert(status).value(); + const auto ret = callback->notify_1_2(hidlStatus, hidlPreparedModel); + if (!ret.isOk()) { + LOG(ERROR) << "V1_2::IPreparedModelCallback::notify_1_2 failed with " + << ret.description(); + } + } +} + +void notify(V1_3::IPreparedModelCallback* callback, nn::ErrorStatus status, + const sp<PreparedModel>& hidlPreparedModel) { + if (callback != nullptr) { + const auto hidlStatus = V1_3::utils::convert(status).value(); + const auto ret = callback->notify_1_3(hidlStatus, hidlPreparedModel); + if (!ret.isOk()) { + LOG(ERROR) << "V1_3::IPreparedModelCallback::notify_1_3 failed with " + << ret.description(); + } + } +} + +template <typename CallbackType> +void notify(CallbackType* callback, PrepareModelResult result, Executor executor, uid_t userId) { + if (!result.has_value()) { + const auto [message, status] = std::move(result).error(); + LOG(ERROR) << message; + notify(callback, status, nullptr); + } else { + auto preparedModel = std::move(result).value(); + auto hidlPreparedModel = + adaptPreparedModel(std::move(preparedModel), std::move(executor), userId); + notify(callback, nn::ErrorStatus::NONE, std::move(hidlPreparedModel)); + } +} + +template <typename ModelType> +nn::GeneralResult<hidl_vec<bool>> getSupportedOperations(const nn::SharedDevice& device, + const ModelType& model) { + const auto nnModel = NN_TRY(convertInput(model)); + return NN_TRY(device->getSupportedOperations(nnModel)); +} + +nn::GeneralResult<void> prepareModel(const nn::SharedDevice& device, const Executor& executor, + const V1_0::Model& model, + const sp<V1_0::IPreparedModelCallback>& callback) { + if (callback.get() == nullptr) { + return NN_ERROR(nn::ErrorStatus::INVALID_ARGUMENT) << "Invalid callback"; + } + + auto nnModel = NN_TRY(convertInput(model)); + + const uid_t userId = hardware::IPCThreadState::self()->getCallingUid(); + Task task = [device, nnModel = std::move(nnModel), userId, executor, callback] { + auto result = device->prepareModel(nnModel, nn::ExecutionPreference::DEFAULT, + nn::Priority::DEFAULT, {}, {}, {}, {}); + notify(callback.get(), std::move(result), executor, userId); + }; + executor(std::move(task), userId, {}); + + return {}; +} + +nn::GeneralResult<void> prepareModel_1_1(const nn::SharedDevice& device, const Executor& executor, + const V1_1::Model& model, + V1_1::ExecutionPreference preference, + const sp<V1_0::IPreparedModelCallback>& callback) { + if (callback.get() == nullptr) { + return NN_ERROR(nn::ErrorStatus::INVALID_ARGUMENT) << "Invalid callback"; + } + + auto nnModel = NN_TRY(convertInput(model)); + const auto nnPreference = NN_TRY(convertInput(preference)); + + const uid_t userId = hardware::IPCThreadState::self()->getCallingUid(); + Task task = [device, nnModel = std::move(nnModel), nnPreference, userId, executor, callback] { + auto result = + device->prepareModel(nnModel, nnPreference, nn::Priority::DEFAULT, {}, {}, {}, {}); + notify(callback.get(), std::move(result), executor, userId); + }; + executor(std::move(task), userId, {}); + + return {}; +} + +nn::GeneralResult<void> prepareModel_1_2(const nn::SharedDevice& device, const Executor& executor, + const V1_2::Model& model, + V1_1::ExecutionPreference preference, + const hidl_vec<hidl_handle>& modelCache, + const hidl_vec<hidl_handle>& dataCache, + const CacheToken& token, + const sp<V1_2::IPreparedModelCallback>& callback) { + if (callback.get() == nullptr) { + return NN_ERROR(nn::ErrorStatus::INVALID_ARGUMENT) << "Invalid callback"; + } + + auto nnModel = NN_TRY(convertInput(model)); + const auto nnPreference = NN_TRY(convertInput(preference)); + auto nnModelCache = NN_TRY(convertInput(modelCache)); + auto nnDataCache = NN_TRY(convertInput(dataCache)); + const auto nnToken = nn::CacheToken(token); + + const uid_t userId = hardware::IPCThreadState::self()->getCallingUid(); + Task task = [device, nnModel = std::move(nnModel), nnPreference, + nnModelCache = std::move(nnModelCache), nnDataCache = std::move(nnDataCache), + nnToken, userId, executor, callback] { + auto result = device->prepareModel(nnModel, nnPreference, nn::Priority::DEFAULT, {}, + nnModelCache, nnDataCache, nnToken); + notify(callback.get(), std::move(result), executor, userId); + }; + executor(std::move(task), userId, {}); + + return {}; +} + +nn::GeneralResult<void> prepareModel_1_3( + const nn::SharedDevice& device, const Executor& executor, const V1_3::Model& model, + V1_1::ExecutionPreference preference, V1_3::Priority priority, + const V1_3::OptionalTimePoint& deadline, const hidl_vec<hidl_handle>& modelCache, + const hidl_vec<hidl_handle>& dataCache, const CacheToken& token, + const sp<V1_3::IPreparedModelCallback>& callback) { + if (callback.get() == nullptr) { + return NN_ERROR(nn::ErrorStatus::INVALID_ARGUMENT) << "Invalid callback"; + } + + auto nnModel = NN_TRY(convertInput(model)); + const auto nnPreference = NN_TRY(convertInput(preference)); + const auto nnPriority = NN_TRY(convertInput(priority)); + const auto nnDeadline = NN_TRY(convertInput(deadline)); + auto nnModelCache = NN_TRY(convertInput(modelCache)); + auto nnDataCache = NN_TRY(convertInput(dataCache)); + const auto nnToken = nn::CacheToken(token); + + const uid_t userId = hardware::IPCThreadState::self()->getCallingUid(); + Task task = [device, nnModel = std::move(nnModel), nnPreference, nnPriority, nnDeadline, + nnModelCache = std::move(nnModelCache), nnDataCache = std::move(nnDataCache), + nnToken, userId, executor, callback] { + auto result = device->prepareModel(nnModel, nnPreference, nnPriority, nnDeadline, + nnModelCache, nnDataCache, nnToken); + notify(callback.get(), std::move(result), executor, userId); + }; + executor(std::move(task), userId, nnDeadline); + + return {}; +} + +nn::GeneralResult<void> prepareModelFromCache(const nn::SharedDevice& device, + const Executor& executor, + const hidl_vec<hidl_handle>& modelCache, + const hidl_vec<hidl_handle>& dataCache, + const CacheToken& token, + const sp<V1_2::IPreparedModelCallback>& callback) { + if (callback.get() == nullptr) { + return NN_ERROR(nn::ErrorStatus::INVALID_ARGUMENT) << "Invalid callback"; + } + + auto nnModelCache = NN_TRY(convertInput(modelCache)); + auto nnDataCache = NN_TRY(convertInput(dataCache)); + const auto nnToken = nn::CacheToken(token); + + const uid_t userId = hardware::IPCThreadState::self()->getCallingUid(); + Task task = [device, nnModelCache = std::move(nnModelCache), + nnDataCache = std::move(nnDataCache), nnToken, userId, executor, callback] { + auto result = device->prepareModelFromCache({}, nnModelCache, nnDataCache, nnToken); + notify(callback.get(), std::move(result), executor, userId); + }; + executor(std::move(task), userId, {}); + + return {}; +} + +nn::GeneralResult<void> prepareModelFromCache_1_3( + const nn::SharedDevice& device, const Executor& executor, + const V1_3::OptionalTimePoint& deadline, const hidl_vec<hidl_handle>& modelCache, + const hidl_vec<hidl_handle>& dataCache, const CacheToken& token, + const sp<V1_3::IPreparedModelCallback>& callback) { + if (callback.get() == nullptr) { + return NN_ERROR(nn::ErrorStatus::INVALID_ARGUMENT) << "Invalid callback"; + } + + const auto nnDeadline = NN_TRY(convertInput(deadline)); + auto nnModelCache = NN_TRY(convertInput(modelCache)); + auto nnDataCache = NN_TRY(convertInput(dataCache)); + const auto nnToken = nn::CacheToken(token); + + const uid_t userId = hardware::IPCThreadState::self()->getCallingUid(); + auto task = [device, nnDeadline, nnModelCache = std::move(nnModelCache), + nnDataCache = std::move(nnDataCache), nnToken, userId, executor, callback] { + auto result = device->prepareModelFromCache(nnDeadline, nnModelCache, nnDataCache, nnToken); + notify(callback.get(), std::move(result), executor, userId); + }; + executor(std::move(task), userId, nnDeadline); + + return {}; +} + +nn::GeneralResult<nn::SharedPreparedModel> downcast(const sp<V1_3::IPreparedModel>& preparedModel) { + if (preparedModel == nullptr) { + return NN_ERROR(nn::ErrorStatus::INVALID_ARGUMENT) << "preparedModel is nullptr"; + } + if (preparedModel->isRemote()) { + return NN_ERROR(nn::ErrorStatus::INVALID_ARGUMENT) << "Cannot convert remote models"; + } + + // This static_cast is safe because adapter::PreparedModel is the only class that implements + // the IPreparedModel interface in the adapter service code. + const auto* casted = static_cast<const PreparedModel*>(preparedModel.get()); + return casted->getUnderlyingPreparedModel(); +} + +nn::GeneralResult<std::vector<nn::SharedPreparedModel>> downcastAll( + const hidl_vec<sp<V1_3::IPreparedModel>>& preparedModels) { + std::vector<nn::SharedPreparedModel> canonical; + canonical.reserve(preparedModels.size()); + for (const auto& preparedModel : preparedModels) { + canonical.push_back(NN_TRY(downcast(preparedModel))); + } + return canonical; +} + +nn::GeneralResult<std::pair<sp<V1_3::IBuffer>, uint32_t>> allocate( + const nn::SharedDevice& device, const V1_3::BufferDesc& desc, + const hidl_vec<sp<V1_3::IPreparedModel>>& preparedModels, + const hidl_vec<V1_3::BufferRole>& inputRoles, + const hidl_vec<V1_3::BufferRole>& outputRoles) { + auto nnDesc = NN_TRY(convertInput(desc)); + auto nnPreparedModels = NN_TRY(downcastAll(preparedModels)); + auto nnInputRoles = NN_TRY(convertInput(inputRoles)); + auto nnOutputRoles = NN_TRY(convertInput(outputRoles)); + + auto buffer = NN_TRY(device->allocate(nnDesc, nnPreparedModels, nnInputRoles, nnOutputRoles)); + + const nn::Request::MemoryDomainToken token = buffer->getToken(); + auto hidlBuffer = sp<Buffer>::make(std::move(buffer)); + return std::make_pair(std::move(hidlBuffer), static_cast<uint32_t>(token)); +} + +} // namespace + +Device::Device(nn::SharedDevice device, Executor executor) + : kDevice(std::move(device)), kExecutor(std::move(executor)) { + CHECK(kDevice != nullptr); + CHECK(kExecutor != nullptr); +} + +Return<void> Device::getCapabilities(getCapabilities_cb cb) { + const auto capabilities = V1_0::utils::convert(kDevice->getCapabilities()).value(); + cb(V1_0::ErrorStatus::NONE, capabilities); + return Void(); +} + +Return<void> Device::getCapabilities_1_1(getCapabilities_1_1_cb cb) { + const auto capabilities = V1_1::utils::convert(kDevice->getCapabilities()).value(); + cb(V1_0::ErrorStatus::NONE, capabilities); + return Void(); +} + +Return<void> Device::getCapabilities_1_2(getCapabilities_1_2_cb cb) { + const auto capabilities = V1_2::utils::convert(kDevice->getCapabilities()).value(); + cb(V1_0::ErrorStatus::NONE, capabilities); + return Void(); +} + +Return<void> Device::getCapabilities_1_3(getCapabilities_1_3_cb cb) { + const auto capabilities = V1_3::utils::convert(kDevice->getCapabilities()).value(); + cb(V1_3::ErrorStatus::NONE, capabilities); + return Void(); +} + +Return<void> Device::getVersionString(getVersionString_cb cb) { + cb(V1_0::ErrorStatus::NONE, kDevice->getVersionString()); + return Void(); +} + +Return<void> Device::getType(getType_cb cb) { + const auto maybeDeviceType = V1_2::utils::convert(kDevice->getType()); + if (!maybeDeviceType.has_value()) { + const auto& [message, code] = maybeDeviceType.error(); + LOG(ERROR) << "adapter::Device::getType failed with " << code << ": " << message; + cb(V1_2::utils::convert(code).value(), {}); + } else { + cb(V1_0::ErrorStatus::NONE, maybeDeviceType.value()); + } + return Void(); +} + +Return<void> Device::getSupportedExtensions(getSupportedExtensions_cb cb) { + const auto maybeSupportedExtensions = V1_2::utils::convert(kDevice->getSupportedExtensions()); + if (!maybeSupportedExtensions.has_value()) { + const auto& [message, code] = maybeSupportedExtensions.error(); + LOG(ERROR) << "adapter::Device::getSupportedExtensions failed with " << code << ": " + << message; + cb(V1_2::utils::convert(code).value(), {}); + } else { + cb(V1_0::ErrorStatus::NONE, maybeSupportedExtensions.value()); + } + return Void(); +} + +Return<void> Device::getSupportedOperations(const V1_0::Model& model, + getSupportedOperations_cb cb) { + const auto result = adapter::getSupportedOperations(kDevice, model); + if (!result.has_value()) { + const auto& [message, code] = result.error(); + LOG(ERROR) << "adapter::Device::getSupportedOperations_1_0 failed with " << code << ": " + << message; + cb(V1_0::utils::convert(code).value(), {}); + } else { + cb(V1_0::ErrorStatus::NONE, result.value()); + } + return Void(); +} + +Return<void> Device::getSupportedOperations_1_1(const V1_1::Model& model, + getSupportedOperations_1_1_cb cb) { + const auto result = adapter::getSupportedOperations(kDevice, model); + if (!result.has_value()) { + const auto& [message, code] = result.error(); + LOG(ERROR) << "adapter::Device::getSupportedOperations_1_1 failed with " << code << ": " + << message; + cb(V1_1::utils::convert(code).value(), {}); + } else { + cb(V1_0::ErrorStatus::NONE, result.value()); + } + return Void(); +} + +Return<void> Device::getSupportedOperations_1_2(const V1_2::Model& model, + getSupportedOperations_1_2_cb cb) { + const auto result = adapter::getSupportedOperations(kDevice, model); + if (!result.has_value()) { + const auto& [message, code] = result.error(); + LOG(ERROR) << "adapter::Device::getSupportedOperations_1_2 failed with " << code << ": " + << message; + cb(V1_2::utils::convert(code).value(), {}); + } else { + cb(V1_0::ErrorStatus::NONE, result.value()); + } + return Void(); +} + +Return<void> Device::getSupportedOperations_1_3(const V1_3::Model& model, + getSupportedOperations_1_3_cb cb) { + const auto result = adapter::getSupportedOperations(kDevice, model); + if (!result.has_value()) { + const auto& [message, code] = result.error(); + LOG(ERROR) << "adapter::Device::getSupportedOperations_1_3 failed with " << code << ": " + << message; + cb(V1_3::utils::convert(code).value(), {}); + } else { + cb(V1_3::ErrorStatus::NONE, result.value()); + } + return Void(); +} + +Return<void> Device::getNumberOfCacheFilesNeeded(getNumberOfCacheFilesNeeded_cb cb) { + const auto [numModelCache, numDataCache] = kDevice->getNumberOfCacheFilesNeeded(); + cb(V1_0::ErrorStatus::NONE, numModelCache, numDataCache); + return Void(); +} + +Return<V1_0::ErrorStatus> Device::prepareModel(const V1_0::Model& model, + const sp<V1_0::IPreparedModelCallback>& callback) { + auto result = adapter::prepareModel(kDevice, kExecutor, model, callback); + if (!result.has_value()) { + auto [message, code] = std::move(result).error(); + LOG(ERROR) << "adapter::Device::prepareModel failed with " << code << ": " << message; + notify(callback.get(), code, nullptr); + return V1_0::utils::convert(code).value(); + } + return V1_0::ErrorStatus::NONE; +} + +Return<V1_0::ErrorStatus> Device::prepareModel_1_1( + const V1_1::Model& model, V1_1::ExecutionPreference preference, + const sp<V1_0::IPreparedModelCallback>& callback) { + auto result = adapter::prepareModel_1_1(kDevice, kExecutor, model, preference, callback); + if (!result.has_value()) { + auto [message, code] = std::move(result).error(); + LOG(ERROR) << "adapter::Device::prepareModel_1_1 failed with " << code << ": " << message; + notify(callback.get(), code, nullptr); + return V1_1::utils::convert(code).value(); + } + return V1_0::ErrorStatus::NONE; +} + +Return<V1_0::ErrorStatus> Device::prepareModel_1_2( + const V1_2::Model& model, V1_1::ExecutionPreference preference, + const hidl_vec<hidl_handle>& modelCache, const hidl_vec<hidl_handle>& dataCache, + const CacheToken& token, const sp<V1_2::IPreparedModelCallback>& callback) { + auto result = adapter::prepareModel_1_2(kDevice, kExecutor, model, preference, modelCache, + dataCache, token, callback); + if (!result.has_value()) { + auto [message, code] = std::move(result).error(); + LOG(ERROR) << "adapter::Device::prepareModel_1_2 failed with " << code << ": " << message; + notify(callback.get(), code, nullptr); + return V1_2::utils::convert(code).value(); + } + return V1_0::ErrorStatus::NONE; +} + +Return<V1_3::ErrorStatus> Device::prepareModel_1_3( + const V1_3::Model& model, V1_1::ExecutionPreference preference, V1_3::Priority priority, + const V1_3::OptionalTimePoint& deadline, const hidl_vec<hidl_handle>& modelCache, + const hidl_vec<hidl_handle>& dataCache, const CacheToken& token, + const sp<V1_3::IPreparedModelCallback>& callback) { + auto result = adapter::prepareModel_1_3(kDevice, kExecutor, model, preference, priority, + deadline, modelCache, dataCache, token, callback); + if (!result.has_value()) { + auto [message, code] = std::move(result).error(); + LOG(ERROR) << "adapter::Device::prepareModel_1_3 failed with " << code << ": " << message; + notify(callback.get(), code, nullptr); + return V1_3::utils::convert(code).value(); + } + return V1_3::ErrorStatus::NONE; +} + +Return<V1_0::ErrorStatus> Device::prepareModelFromCache( + const hidl_vec<hidl_handle>& modelCache, const hidl_vec<hidl_handle>& dataCache, + const CacheToken& token, const sp<V1_2::IPreparedModelCallback>& callback) { + auto result = adapter::prepareModelFromCache(kDevice, kExecutor, modelCache, dataCache, token, + callback); + if (!result.has_value()) { + auto [message, code] = std::move(result).error(); + LOG(ERROR) << "adapter::Device::prepareModelFromCache failed with " << code << ": " + << message; + notify(callback.get(), code, nullptr); + return V1_2::utils::convert(code).value(); + } + return V1_0::ErrorStatus::NONE; +} + +Return<V1_3::ErrorStatus> Device::prepareModelFromCache_1_3( + const V1_3::OptionalTimePoint& deadline, const hidl_vec<hidl_handle>& modelCache, + const hidl_vec<hidl_handle>& dataCache, const CacheToken& token, + const sp<V1_3::IPreparedModelCallback>& callback) { + auto result = adapter::prepareModelFromCache_1_3(kDevice, kExecutor, deadline, modelCache, + dataCache, token, callback); + if (!result.has_value()) { + auto [message, code] = std::move(result).error(); + LOG(ERROR) << "adapter::Device::prepareModelFromCache_1_3 failed with " << code << ": " + << message; + notify(callback.get(), code, nullptr); + return V1_3::utils::convert(code).value(); + } + return V1_3::ErrorStatus::NONE; +} + +Return<V1_0::DeviceStatus> Device::getStatus() { + return V1_0::DeviceStatus::AVAILABLE; +} + +Return<void> Device::allocate(const V1_3::BufferDesc& desc, + const hidl_vec<sp<V1_3::IPreparedModel>>& preparedModels, + const hidl_vec<V1_3::BufferRole>& inputRoles, + const hidl_vec<V1_3::BufferRole>& outputRoles, allocate_cb cb) { + auto result = adapter::allocate(kDevice, desc, preparedModels, inputRoles, outputRoles); + if (!result.has_value()) { + const auto [message, code] = std::move(result).error(); + LOG(ERROR) << "adapter::Device::allocate failed with " << code << ": " << message; + cb(V1_3::utils::convert(code).value(), nullptr, /*token=*/0); + return Void(); + } + auto [buffer, token] = std::move(result).value(); + cb(V1_3::ErrorStatus::NONE, buffer, token); + return Void(); +} + +} // namespace android::hardware::neuralnetworks::adapter |