commit 49817a0e0f4a3d2d24751b89e94ff90f92cc463f
author Slava Shklyaev <slavash@google.com> Tue Oct 27 18:44:01 2020 +0000
committer Slava Shklyaev <slavash@google.com> Fri Nov 20 13:55:05 2020 +0000
tree f43650d7efa0b61f95edbf60332b6bbaee40c2af
parent d7f04f9f0626f3e5aef9705b470f32325194380e

Replace nn::NativeHandle with nn::SharedHandle

Bug: 160669116
Test: mma
Change-Id: I73b2b93aab6cbf37d3c145e15ee9ae45228954f1
Merged-In: I73b2b93aab6cbf37d3c145e15ee9ae45228954f1
(cherry picked from commit d4290b8bf8f9da1b7b34db3963762810258b132e)

neuralnetworks/1.3/utils/src/Device.cpp

diff --git a/neuralnetworks/1.3/utils/src/Device.cpp b/neuralnetworks/1.3/utils/src/Device.cpp
index c215f39..5e3d5c2 100644
--- a/neuralnetworks/1.3/utils/src/Device.cpp
+++ b/neuralnetworks/1.3/utils/src/Device.cpp
@@ -179,8 +179,8 @@
 
 nn::GeneralResult<nn::SharedPreparedModel> Device::prepareModel(
         const nn::Model& model, nn::ExecutionPreference preference, nn::Priority priority,
-        nn::OptionalTimePoint deadline, const std::vector<nn::NativeHandle>& modelCache,
-        const std::vector<nn::NativeHandle>& dataCache, const nn::CacheToken& token) const {
+        nn::OptionalTimePoint deadline, const std::vector<nn::SharedHandle>& modelCache,
+        const std::vector<nn::SharedHandle>& dataCache, const nn::CacheToken& token) const {
     // Ensure that model is ready for IPC.
     std::optional<nn::Model> maybeModelInShared;
     const nn::Model& modelInShared =
@@ -211,8 +211,8 @@
 }
 
 nn::GeneralResult<nn::SharedPreparedModel> Device::prepareModelFromCache(
-        nn::OptionalTimePoint deadline, const std::vector<nn::NativeHandle>& modelCache,
-        const std::vector<nn::NativeHandle>& dataCache, const nn::CacheToken& token) const {
+        nn::OptionalTimePoint deadline, const std::vector<nn::SharedHandle>& modelCache,
+        const std::vector<nn::SharedHandle>& dataCache, const nn::CacheToken& token) const {
     const auto hidlDeadline = NN_TRY(convert(deadline));
     const auto hidlModelCache = NN_TRY(V1_2::utils::convert(modelCache));
     const auto hidlDataCache = NN_TRY(V1_2::utils::convert(dataCache));

neuralnetworks/1.3/utils/src/PreparedModel.cpp

diff --git a/neuralnetworks/1.3/utils/src/PreparedModel.cpp b/neuralnetworks/1.3/utils/src/PreparedModel.cpp
index df9b280..2781053 100644
--- a/neuralnetworks/1.3/utils/src/PreparedModel.cpp
+++ b/neuralnetworks/1.3/utils/src/PreparedModel.cpp
@@ -53,15 +53,6 @@
     return hal::utils::makeExecutionFailure(convertExecutionResultsHelper(outputShapes, timing));
 }
 
-nn::GeneralResult<hidl_vec<hidl_handle>> convertSyncFences(
-        const std::vector<nn::SyncFence>& syncFences) {
-    hidl_vec<hidl_handle> handles(syncFences.size());
-    for (size_t i = 0; i < syncFences.size(); ++i) {
-        handles[i] = NN_TRY(V1_2::utils::convert(syncFences[i].getHandle()));
-    }
-    return handles;
-}
-
 nn::GeneralResult<std::pair<nn::Timing, nn::Timing>> convertFencedExecutionCallbackResults(
         const V1_2::Timing& timingLaunched, const V1_2::Timing& timingFenced) {
     return std::make_pair(NN_TRY(validatedConvertToCanonical(timingLaunched)),
@@ -221,7 +212,7 @@
             NN_TRY(hal::utils::flushDataFromPointerToShared(&request, &maybeRequestInShared));
 
     const auto hidlRequest = NN_TRY(convert(requestInShared));
-    const auto hidlWaitFor = NN_TRY(convertSyncFences(waitFor));
+    const auto hidlWaitFor = NN_TRY(hal::utils::convertSyncFences(waitFor));
     const auto hidlMeasure = NN_TRY(V1_2::utils::convert(measure));
     const auto hidlDeadline = NN_TRY(convert(deadline));
     const auto hidlLoopTimeoutDuration = NN_TRY(convert(loopTimeoutDuration));