Add additional parameters for NN Burst -- HAL
Adds deadline and loopTimeoutDuration to nn::IBurst::execute.
This CL additionally adds a test case for
IPreparedModel::configureExecutionBurst and adds the suffix "_H" to
the header guards that were missing "_H".
Bug: 180492058
Bug: 177267324
Test: mma
Test: NeuralNetworksTest_static
Change-Id: Ic9ba2fb9b4dee4e40d99ae91bb9555a58d0508d2
Merged-In: Ic9ba2fb9b4dee4e40d99ae91bb9555a58d0508d2
(cherry picked from commit bbbdb0d5f118efa8159c3cc98304208fd7631609)
diff --git a/neuralnetworks/1.2/utils/src/PreparedModel.cpp b/neuralnetworks/1.2/utils/src/PreparedModel.cpp
index 71a4ea8..b209a44 100644
--- a/neuralnetworks/1.2/utils/src/PreparedModel.cpp
+++ b/neuralnetworks/1.2/utils/src/PreparedModel.cpp
@@ -122,10 +122,12 @@
nn::GeneralResult<nn::SharedBurst> PreparedModel::configureExecutionBurst() const {
auto self = shared_from_this();
- auto fallback = [preparedModel = std::move(self)](const nn::Request& request,
- nn::MeasureTiming measure)
+ auto fallback = [preparedModel = std::move(self)](
+ const nn::Request& request, nn::MeasureTiming measure,
+ const nn::OptionalTimePoint& deadline,
+ const nn::OptionalDuration& loopTimeoutDuration)
-> nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> {
- return preparedModel->execute(request, measure, {}, {});
+ return preparedModel->execute(request, measure, deadline, loopTimeoutDuration);
};
const auto pollingTimeWindow = getBurstControllerPollingTimeWindow();
return ExecutionBurstController::create(kPreparedModel, std::move(fallback), pollingTimeWindow);