/* * Copyright (C) 2019 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. */ #define LOG_TAG "Callbacks" #include "1.2/Callbacks.h" #include #include namespace android::hardware::neuralnetworks::V1_2::implementation { using V1_0::ErrorStatus; constexpr Timing kNoTiming = {.timeOnDevice = std::numeric_limits::max(), .timeInDriver = std::numeric_limits::max()}; // PreparedModelCallback methods begin here Return PreparedModelCallback::notify(ErrorStatus errorStatus, const sp& preparedModel) { { std::lock_guard hold(mMutex); // quick-return if object has already been notified if (mNotified) { return Void(); } // store results and mark as notified mErrorStatus = errorStatus; mPreparedModel = preparedModel; mNotified = true; } mCondition.notify_all(); return Void(); } Return PreparedModelCallback::notify_1_2(ErrorStatus errorStatus, const sp& preparedModel) { return notify(errorStatus, preparedModel); } void PreparedModelCallback::wait() const { std::unique_lock lock(mMutex); mCondition.wait(lock, [this] { return mNotified; }); } ErrorStatus PreparedModelCallback::getStatus() const { wait(); return mErrorStatus; } sp PreparedModelCallback::getPreparedModel() const { wait(); return mPreparedModel; } // ExecutionCallback methods begin here Return ExecutionCallback::notify(ErrorStatus errorStatus) { notifyInternal(errorStatus, {}, kNoTiming); return Void(); } Return ExecutionCallback::notify_1_2(ErrorStatus errorStatus, const hidl_vec& outputShapes, const Timing& timing) { if (errorStatus == ErrorStatus::OUTPUT_INSUFFICIENT_SIZE) { // outputShapes must not be empty if OUTPUT_INSUFFICIENT_SIZE. if (outputShapes.size() == 0) { LOG(ERROR) << "Notified with empty output shape vector when OUTPUT_INSUFFICIENT_SIZE"; notifyInternal(ErrorStatus::GENERAL_FAILURE, {}, kNoTiming); return Void(); } } else if (errorStatus != ErrorStatus::NONE) { // outputShapes must be empty if errorStatus is neither NONE nor OUTPUT_INSUFFICIENT_SIZE. if (outputShapes.size() != 0) { LOG(ERROR) << "Notified with non-empty output shape vector when error status is " "neither NONE nor OUTPUT_INSUFFICIENT_SIZE"; notifyInternal(ErrorStatus::GENERAL_FAILURE, {}, kNoTiming); return Void(); } } notifyInternal(errorStatus, outputShapes, timing); return Void(); } void ExecutionCallback::wait() const { std::unique_lock lock(mMutex); mCondition.wait(lock, [this] { return mNotified; }); } ErrorStatus ExecutionCallback::getStatus() const { wait(); return mErrorStatus; } const std::vector& ExecutionCallback::getOutputShapes() const { wait(); return mOutputShapes; } Timing ExecutionCallback::getTiming() const { wait(); return mTiming; } void ExecutionCallback::notifyInternal(ErrorStatus errorStatus, const hidl_vec& outputShapes, const Timing& timing) { { std::lock_guard hold(mMutex); // quick-return if object has already been notified if (mNotified) { return; } mErrorStatus = errorStatus; mOutputShapes = outputShapes; mTiming = timing; mNotified = true; } mCondition.notify_all(); } } // namespace android::hardware::neuralnetworks::V1_2::implementation