Introduce reusable execution to canonical interface -- HAL.

This CL modifies the canonical interface for reusable executions:
- Add new interface: IExecution with compute and computeFenced methods
- Add new method IPreparedModel::createExecution

In NNAPI runtime, the new interface IExecution is used to
memoize request-specific execution resources (e.g. converted HAL
request). The expected usage is that, IPreparedModel::createExecution
will be invoked in the first computation of a reusable NDK ANNExecution
object, and IExecution::compute* will be invoked repeatedly.

The IPreparedModel::execute* methods are preserved to avoid redundant
object creation and memoization overhead for a single-time
(non-reusable) execution.

For a vendor implementing the canonical interfaces, only the
IPreparedModel::execute* methods will be called because there is
currently no reusable execution at HAL interface. A DefaultExecution
implementation is provided to reduce the work needed on the vendor side.

Bug: 184073769
Test: NNT_static
Test: neuralnetworks_utils_hal_1_0_test
Test: neuralnetworks_utils_hal_1_1_test
Test: neuralnetworks_utils_hal_1_2_test
Test: neuralnetworks_utils_hal_1_3_test
Test: neuralnetworks_utils_hal_common_test
Test: neuralnetworks_utils_hal_aidl_test
Change-Id: I91790bb5ccf5ae648687fe603f88ffda2c9fd2b2

1 files changed, 6 insertions, 0 deletions

diff --git a/neuralnetworks/utils/common/src/InvalidPreparedModel.cpp b/neuralnetworks/utils/common/src/InvalidPreparedModel.cpp
index 9081e1fdd1..8195462ba8 100644
--- a/neuralnetworks/utils/common/src/InvalidPreparedModel.cpp
+++ b/neuralnetworks/utils/common/src/InvalidPreparedModel.cpp
@@ -42,6 +42,12 @@ InvalidPreparedModel::executeFenced(
     return NN_ERROR() << "InvalidPreparedModel";
 }
 
+nn::GeneralResult<nn::SharedExecution> InvalidPreparedModel::createReusableExecution(
+        const nn::Request& /*request*/, nn::MeasureTiming /*measure*/,
+        const nn::OptionalDuration& /*loopTimeoutDuration*/) const {
+    return NN_ERROR() << "InvalidPreparedModel";
+}
+
 nn::GeneralResult<nn::SharedBurst> InvalidPreparedModel::configureExecutionBurst() const {
     return NN_ERROR() << "InvalidPreparedModel";
 }