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/*
* 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 <android-base/logging.h>
#include <limits>
namespace android::hardware::neuralnetworks::V1_2::implementation {
using V1_0::ErrorStatus;
constexpr Timing kNoTiming = {.timeOnDevice = std::numeric_limits<uint64_t>::max(),
.timeInDriver = std::numeric_limits<uint64_t>::max()};
// PreparedModelCallback methods begin here
Return<void> PreparedModelCallback::notify(ErrorStatus errorStatus,
const sp<V1_0::IPreparedModel>& preparedModel) {
{
std::lock_guard<std::mutex> 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<void> PreparedModelCallback::notify_1_2(ErrorStatus errorStatus,
const sp<V1_2::IPreparedModel>& preparedModel) {
return notify(errorStatus, preparedModel);
}
void PreparedModelCallback::wait() const {
std::unique_lock<std::mutex> lock(mMutex);
mCondition.wait(lock, [this] { return mNotified; });
}
ErrorStatus PreparedModelCallback::getStatus() const {
wait();
return mErrorStatus;
}
sp<V1_0::IPreparedModel> PreparedModelCallback::getPreparedModel() const {
wait();
return mPreparedModel;
}
// ExecutionCallback methods begin here
Return<void> ExecutionCallback::notify(ErrorStatus errorStatus) {
notifyInternal(errorStatus, {}, kNoTiming);
return Void();
}
Return<void> ExecutionCallback::notify_1_2(ErrorStatus errorStatus,
const hidl_vec<OutputShape>& 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<std::mutex> lock(mMutex);
mCondition.wait(lock, [this] { return mNotified; });
}
ErrorStatus ExecutionCallback::getStatus() const {
wait();
return mErrorStatus;
}
const std::vector<OutputShape>& ExecutionCallback::getOutputShapes() const {
wait();
return mOutputShapes;
}
Timing ExecutionCallback::getTiming() const {
wait();
return mTiming;
}
void ExecutionCallback::notifyInternal(ErrorStatus errorStatus,
const hidl_vec<OutputShape>& outputShapes,
const Timing& timing) {
{
std::lock_guard<std::mutex> 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
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