Consolidate NNAPI VTS utility code
This CL does additional NNAPI VTS test cleanup, including consolidating
duplicate functionality. Specifically, this CL:
* consolidates the createPreparedModel function, removing the duplicate
* consolidates the std::out ErrorStatus and DeviceStatus code into Utils
* changes non-null constant pointers to constant references
* removes redudant leading namespace specifiers (V1_0::, ::testing, etc.)
* makes the Valdiation tests free functions
* renames device to kDevice and mTestModel to kTestModel
Bug: N/A
Test: mma
Test: VtsHalNeuralnetworksV1_*TargetTest (with sample-all)
Change-Id: Ic401bb1f1760cc10384ac0d30c0c93409b63a9c7
Merged-In: Ic401bb1f1760cc10384ac0d30c0c93409b63a9c7
(cherry picked from commit e16af0a44ba9b76667a598b10a085f808efb8c7c)
diff --git a/neuralnetworks/1.2/vts/functional/BasicTests.cpp b/neuralnetworks/1.2/vts/functional/BasicTests.cpp
index 86849d5..8f95b96 100644
--- a/neuralnetworks/1.2/vts/functional/BasicTests.cpp
+++ b/neuralnetworks/1.2/vts/functional/BasicTests.cpp
@@ -29,7 +29,7 @@
// status test
TEST_F(NeuralnetworksHidlTest, StatusTest) {
- Return<DeviceStatus> status = device->getStatus();
+ Return<DeviceStatus> status = kDevice->getStatus();
ASSERT_TRUE(status.isOk());
EXPECT_EQ(DeviceStatus::AVAILABLE, static_cast<DeviceStatus>(status));
}
@@ -37,8 +37,8 @@
// initialization
TEST_F(NeuralnetworksHidlTest, GetCapabilitiesTest) {
using OperandPerformance = Capabilities::OperandPerformance;
- Return<void> ret = device->getCapabilities_1_2([](ErrorStatus status,
- const Capabilities& capabilities) {
+ Return<void> ret = kDevice->getCapabilities_1_2([](ErrorStatus status,
+ const Capabilities& capabilities) {
EXPECT_EQ(ErrorStatus::NONE, status);
auto isPositive = [](const PerformanceInfo& perf) {
@@ -61,16 +61,17 @@
// device version test
TEST_F(NeuralnetworksHidlTest, GetDeviceVersionStringTest) {
- Return<void> ret = device->getVersionString([](ErrorStatus status, const hidl_string& version) {
- EXPECT_EQ(ErrorStatus::NONE, status);
- EXPECT_LT(0, version.size());
- });
+ Return<void> ret =
+ kDevice->getVersionString([](ErrorStatus status, const hidl_string& version) {
+ EXPECT_EQ(ErrorStatus::NONE, status);
+ EXPECT_LT(0, version.size());
+ });
EXPECT_TRUE(ret.isOk());
}
// device type test
TEST_F(NeuralnetworksHidlTest, GetDeviceTypeTest) {
- Return<void> ret = device->getType([](ErrorStatus status, DeviceType type) {
+ Return<void> ret = kDevice->getType([](ErrorStatus status, DeviceType type) {
EXPECT_EQ(ErrorStatus::NONE, status);
EXPECT_TRUE(type == DeviceType::OTHER || type == DeviceType::CPU ||
type == DeviceType::GPU || type == DeviceType::ACCELERATOR);
@@ -80,7 +81,7 @@
// device supported extensions test
TEST_F(NeuralnetworksHidlTest, GetDeviceSupportedExtensionsTest) {
- Return<void> ret = device->getSupportedExtensions(
+ Return<void> ret = kDevice->getSupportedExtensions(
[](ErrorStatus status, const hidl_vec<Extension>& extensions) {
EXPECT_EQ(ErrorStatus::NONE, status);
for (auto& extension : extensions) {
@@ -101,7 +102,7 @@
// getNumberOfCacheFilesNeeded test
TEST_F(NeuralnetworksHidlTest, getNumberOfCacheFilesNeeded) {
- Return<void> ret = device->getNumberOfCacheFilesNeeded(
+ Return<void> ret = kDevice->getNumberOfCacheFilesNeeded(
[](ErrorStatus status, uint32_t numModelCache, uint32_t numDataCache) {
EXPECT_EQ(ErrorStatus::NONE, status);
EXPECT_LE(numModelCache,