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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, 0 insertions, 556 deletions
diff --git a/neuralnetworks/utils/adapter/src/Device.cpp b/neuralnetworks/utils/adapter/src/Device.cpp deleted file mode 100644 index 96142c3577..0000000000 --- a/neuralnetworks/utils/adapter/src/Device.cpp +++ /dev/null @@ -1,556 +0,0 @@ -/* - * 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 |