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
diff --git a/neuralnetworks/1.3/utils/src/PreparedModel.cpp b/neuralnetworks/1.3/utils/src/PreparedModel.cpp
index fd7f8f2..5163e8a 100644
--- a/neuralnetworks/1.3/utils/src/PreparedModel.cpp
+++ b/neuralnetworks/1.3/utils/src/PreparedModel.cpp
@@ -18,6 +18,7 @@
 
 #include "Callbacks.h"
 #include "Conversions.h"
+#include "Execution.h"
 #include "Utils.h"
 
 #include <android/hardware/neuralnetworks/1.0/types.h>
@@ -139,8 +140,10 @@
         const nn::OptionalDuration& loopTimeoutDuration) const {
     // Ensure that request is ready for IPC.
     std::optional<nn::Request> maybeRequestInShared;
-    const nn::Request& requestInShared = NN_TRY(hal::utils::makeExecutionFailure(
-            hal::utils::flushDataFromPointerToShared(&request, &maybeRequestInShared)));
+    hal::utils::RequestRelocation relocation;
+    const nn::Request& requestInShared =
+            NN_TRY(hal::utils::makeExecutionFailure(hal::utils::convertRequestFromPointerToShared(
+                    &request, &maybeRequestInShared, &relocation)));
 
     const auto hidlRequest = NN_TRY(hal::utils::makeExecutionFailure(convert(requestInShared)));
     const auto hidlMeasure = NN_TRY(hal::utils::makeExecutionFailure(convert(measure)));
@@ -148,16 +151,27 @@
     const auto hidlLoopTimeoutDuration =
             NN_TRY(hal::utils::makeExecutionFailure(convert(loopTimeoutDuration)));
 
+    return executeInternal(hidlRequest, hidlMeasure, hidlDeadline, hidlLoopTimeoutDuration,
+                           relocation);
+}
+
+nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>>
+PreparedModel::executeInternal(const Request& request, V1_2::MeasureTiming measure,
+                               const OptionalTimePoint& deadline,
+                               const OptionalTimeoutDuration& loopTimeoutDuration,
+                               const hal::utils::RequestRelocation& relocation) const {
+    if (relocation.input) {
+        relocation.input->flush();
+    }
+
     auto result = kExecuteSynchronously
-                          ? executeSynchronously(hidlRequest, hidlMeasure, hidlDeadline,
-                                                 hidlLoopTimeoutDuration)
-                          : executeAsynchronously(hidlRequest, hidlMeasure, hidlDeadline,
-                                                  hidlLoopTimeoutDuration);
+                          ? executeSynchronously(request, measure, deadline, loopTimeoutDuration)
+                          : executeAsynchronously(request, measure, deadline, loopTimeoutDuration);
     auto [outputShapes, timing] = NN_TRY(std::move(result));
 
-    NN_TRY(hal::utils::makeExecutionFailure(
-            hal::utils::unflushDataFromSharedToPointer(request, maybeRequestInShared)));
-
+    if (relocation.output) {
+        relocation.output->flush();
+    }
     return std::make_pair(std::move(outputShapes), timing);
 }
 
@@ -168,8 +182,9 @@
                              const nn::OptionalDuration& timeoutDurationAfterFence) const {
     // Ensure that request is ready for IPC.
     std::optional<nn::Request> maybeRequestInShared;
-    const nn::Request& requestInShared =
-            NN_TRY(hal::utils::flushDataFromPointerToShared(&request, &maybeRequestInShared));
+    hal::utils::RequestRelocation relocation;
+    const nn::Request& requestInShared = NN_TRY(hal::utils::convertRequestFromPointerToShared(
+            &request, &maybeRequestInShared, &relocation));
 
     const auto hidlRequest = NN_TRY(convert(requestInShared));
     const auto hidlWaitFor = NN_TRY(hal::utils::convertSyncFences(waitFor));
@@ -178,27 +193,58 @@
     const auto hidlLoopTimeoutDuration = NN_TRY(convert(loopTimeoutDuration));
     const auto hidlTimeoutDurationAfterFence = NN_TRY(convert(timeoutDurationAfterFence));
 
+    return executeFencedInternal(hidlRequest, hidlWaitFor, hidlMeasure, hidlDeadline,
+                                 hidlLoopTimeoutDuration, hidlTimeoutDurationAfterFence,
+                                 relocation);
+}
+
+nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>>
+PreparedModel::executeFencedInternal(const Request& request, const hidl_vec<hidl_handle>& waitFor,
+                                     V1_2::MeasureTiming measure, const OptionalTimePoint& deadline,
+                                     const OptionalTimeoutDuration& loopTimeoutDuration,
+                                     const OptionalTimeoutDuration& timeoutDurationAfterFence,
+                                     const hal::utils::RequestRelocation& relocation) const {
+    if (relocation.input) {
+        relocation.input->flush();
+    }
+
     auto cb = hal::utils::CallbackValue(fencedExecutionCallback);
 
-    const auto ret = kPreparedModel->executeFenced(hidlRequest, hidlWaitFor, hidlMeasure,
-                                                   hidlDeadline, hidlLoopTimeoutDuration,
-                                                   hidlTimeoutDurationAfterFence, cb);
+    const auto ret =
+            kPreparedModel->executeFenced(request, waitFor, measure, deadline, loopTimeoutDuration,
+                                          timeoutDurationAfterFence, cb);
     HANDLE_TRANSPORT_FAILURE(ret);
     auto [syncFence, callback] = NN_TRY(cb.take());
 
     // If executeFenced required the request memory to be moved into shared memory, block here until
     // the fenced execution has completed and flush the memory back.
-    if (maybeRequestInShared.has_value()) {
+    if (relocation.output) {
         const auto state = syncFence.syncWait({});
         if (state != nn::SyncFence::FenceState::SIGNALED) {
             return NN_ERROR() << "syncWait failed with " << state;
         }
-        NN_TRY(hal::utils::unflushDataFromSharedToPointer(request, maybeRequestInShared));
+        relocation.output->flush();
     }
 
     return std::make_pair(std::move(syncFence), std::move(callback));
 }
 
+nn::GeneralResult<nn::SharedExecution> PreparedModel::createReusableExecution(
+        const nn::Request& request, nn::MeasureTiming measure,
+        const nn::OptionalDuration& loopTimeoutDuration) const {
+    // Ensure that request is ready for IPC.
+    std::optional<nn::Request> maybeRequestInShared;
+    hal::utils::RequestRelocation relocation;
+    const nn::Request& requestInShared = NN_TRY(hal::utils::convertRequestFromPointerToShared(
+            &request, &maybeRequestInShared, &relocation));
+
+    auto hidlRequest = NN_TRY(convert(requestInShared));
+    auto hidlMeasure = NN_TRY(convert(measure));
+    auto hidlLoopTimeoutDuration = NN_TRY(convert(loopTimeoutDuration));
+    return Execution::create(shared_from_this(), std::move(hidlRequest), std::move(relocation),
+                             hidlMeasure, std::move(hidlLoopTimeoutDuration));
+}
+
 nn::GeneralResult<nn::SharedBurst> PreparedModel::configureExecutionBurst() const {
     auto self = shared_from_this();
     auto fallback = [preparedModel = std::move(self)](