NNAPI runtime: Remove priority from prepareModelFromCache

prepareModelFromCache_1_3 uses model cache and data cache that
represent a prepared model. Any argument that contributes in a
meaningful way to the prepared model is implicitly included in
this model cache and data cache. For example, "model" and
"executionPreference" appear in prepareModel_1_3 but not in
prepareModelFromCache_1_3 because they are implicitly included
in the model cache and data cache. In a similar way, because
it could affect the resulting model, "priority" should be
removed from prepareModelFromCache_1_3.

Fixes: 148802784
Test: mma
Test: CtsNNAPITestCases
Test: NeuralNetworksTest_static
Change-Id: I83735ef8c3a10d1dbd58235d44e2c0067413cc79

1 files changed, 6 insertions, 0 deletions

diff --git a/nn/runtime/test/TestNeuralNetworksWrapper.h b/nn/runtime/test/TestNeuralNetworksWrapper.h
index 4a677cebe..236746888 100644
--- a/nn/runtime/test/TestNeuralNetworksWrapper.h
+++ b/nn/runtime/test/TestNeuralNetworksWrapper.h
@@ -37,6 +37,7 @@ namespace test_wrapper {
 
 using wrapper::Event;
 using wrapper::ExecutePreference;
+using wrapper::ExecutePriority;
 using wrapper::ExtensionModel;
 using wrapper::ExtensionOperandParams;
 using wrapper::ExtensionOperandType;
@@ -254,6 +255,11 @@ class Compilation {
                 mCompilation, static_cast<int32_t>(preference)));
     }
 
+    Result setPriority(ExecutePriority priority) {
+        return static_cast<Result>(ANeuralNetworksCompilation_setPriority(
+                mCompilation, static_cast<int32_t>(priority)));
+    }
+
     Result setCaching(const std::string& cacheDir, const std::vector<uint8_t>& token) {
         if (token.size() != ANEURALNETWORKS_BYTE_SIZE_OF_CACHE_TOKEN) {
             return Result::BAD_DATA;