Add FL6 spec tests to AIDL VTS.
Also skip FL6 (AIDL_V2) tests for older AIDL drivers.
Bug: 203038813
Test: VtsHalNeuralnetworksTargetTest
Specifically, for old driver such as AIDL_V1 sample driver, it can pass
HIDL tests and skip AIDL_V2 tests. For new driver such as AIDL_V2
sample driver, it can pass all tests.
Change-Id: I689fef0945428f6548977628e3c43628dd1e5bf7
diff --git a/neuralnetworks/aidl/vts/functional/Android.bp b/neuralnetworks/aidl/vts/functional/Android.bp
index 4dc2ed0..3558d12 100644
--- a/neuralnetworks/aidl/vts/functional/Android.bp
+++ b/neuralnetworks/aidl/vts/functional/Android.bp
@@ -63,6 +63,7 @@
"neuralnetworks_utils_hal_aidl",
],
whole_static_libs: [
+ "neuralnetworks_generated_AIDL_V2_example",
"neuralnetworks_generated_V1_0_example",
"neuralnetworks_generated_V1_1_example",
"neuralnetworks_generated_V1_2_example",
diff --git a/neuralnetworks/aidl/vts/functional/GeneratedTestHarness.cpp b/neuralnetworks/aidl/vts/functional/GeneratedTestHarness.cpp
index ac5b96a..f67fd34 100644
--- a/neuralnetworks/aidl/vts/functional/GeneratedTestHarness.cpp
+++ b/neuralnetworks/aidl/vts/functional/GeneratedTestHarness.cpp
@@ -907,6 +907,20 @@
const bool deviceIsResponsive =
ndk::ScopedAStatus::fromStatus(AIBinder_ping(kDevice->asBinder().get())).isOk();
ASSERT_TRUE(deviceIsResponsive);
+ // TODO(b/201260787): We should require old drivers to report the model as
+ // unsupported instead of simply skipping the test.
+ SkipIfDriverOlderThanTestModel();
+}
+
+void GeneratedTestBase::SkipIfDriverOlderThanTestModel() {
+ int32_t deviceVersion;
+ ASSERT_TRUE(kDevice->getInterfaceVersion(&deviceVersion).isOk());
+ const int32_t modelVersion = kTestModel.getAidlVersionInt();
+ if (deviceVersion < modelVersion) {
+ GTEST_SKIP() << "Device interface version " << deviceVersion
+ << " is older than test model's minimum supported HAL version " << modelVersion
+ << ". Skipping test.";
+ }
}
std::vector<NamedModel> getNamedModels(const FilterFn& filter) {
diff --git a/neuralnetworks/aidl/vts/functional/GeneratedTestHarness.h b/neuralnetworks/aidl/vts/functional/GeneratedTestHarness.h
index ad40f06..da74db9 100644
--- a/neuralnetworks/aidl/vts/functional/GeneratedTestHarness.h
+++ b/neuralnetworks/aidl/vts/functional/GeneratedTestHarness.h
@@ -34,6 +34,9 @@
void SetUp() override;
const std::shared_ptr<IDevice> kDevice = getData(std::get<NamedDevice>(GetParam()));
const test_helper::TestModel& kTestModel = *getData(std::get<NamedModel>(GetParam()));
+
+ private:
+ void SkipIfDriverOlderThanTestModel();
};
using FilterFn = std::function<bool(const test_helper::TestModel&)>;
diff --git a/neuralnetworks/aidl/vts/functional/ValidateModel.cpp b/neuralnetworks/aidl/vts/functional/ValidateModel.cpp
index 3f3e225..fdc7eff 100644
--- a/neuralnetworks/aidl/vts/functional/ValidateModel.cpp
+++ b/neuralnetworks/aidl/vts/functional/ValidateModel.cpp
@@ -1122,6 +1122,7 @@
// align_corners and half_pixel_centers parameters.
// - L2_NORMALIZATION, LOCAL_RESPONSE_NORMALIZATION, SOFTMAX can have an optional axis
// parameter.
+ // - PACK has at least 2 inputs, with the first element being INT32.
switch (op.type) {
case OperationType::CONCATENATION: {
if (op.inputs.size() > 2 && input != op.inputs.size() - 1) {
@@ -1178,6 +1179,11 @@
return true;
}
} break;
+ case OperationType::PACK: {
+ if (op.inputs.size() > 2 && input != 0) {
+ return true;
+ }
+ } break;
default:
break;
}