Create NNAPI adapter interface
This CL creates Device, PreparedModel, and Buffer classes which adapt a
canonical interface to a NN 1.3 HIDL interface.
Bug: 160668438
Test: mma
Change-Id: Ifee27858efd280307a299b3fe2e1a4bd9240e9de
Merged-In: Ifee27858efd280307a299b3fe2e1a4bd9240e9de
(cherry picked from commit 323dd0c2dc3ca771a5c66a8fe5fd41819e841a1c)
diff --git a/neuralnetworks/utils/adapter/src/Device.cpp b/neuralnetworks/utils/adapter/src/Device.cpp
new file mode 100644
index 0000000..96142c3
--- /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