NN validation tests
This CL adds validation tests for all of the existing generated models.
The strategy of this CL is this: given a valid model or request, make a
single change to invalidate the model or request, then verify that the
vendor service driver catches the inconsistency and returns
INVALID_ARGUMENT.
Bug: 67828197
Test: mma
Test: VtsHalNeuralnetworksV1_0TargetTest
Test: VtsHalNeuralnetworksV1_1TargetTest
Change-Id: I8efcdbdccc77aaf78992e52c1eac5c940fc81a03
diff --git a/neuralnetworks/1.0/vts/functional/BasicTests.cpp b/neuralnetworks/1.0/vts/functional/BasicTests.cpp
new file mode 100644
index 0000000..945c406
--- /dev/null
+++ b/neuralnetworks/1.0/vts/functional/BasicTests.cpp
@@ -0,0 +1,56 @@
+/*
+ * Copyright (C) 2018 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#define LOG_TAG "neuralnetworks_hidl_hal_test"
+
+#include "VtsHalNeuralnetworks.h"
+
+namespace android {
+namespace hardware {
+namespace neuralnetworks {
+namespace V1_0 {
+namespace vts {
+namespace functional {
+
+// create device test
+TEST_F(NeuralnetworksHidlTest, CreateDevice) {}
+
+// status test
+TEST_F(NeuralnetworksHidlTest, StatusTest) {
+ Return<DeviceStatus> status = device->getStatus();
+ ASSERT_TRUE(status.isOk());
+ EXPECT_EQ(DeviceStatus::AVAILABLE, static_cast<DeviceStatus>(status));
+}
+
+// initialization
+TEST_F(NeuralnetworksHidlTest, GetCapabilitiesTest) {
+ Return<void> ret =
+ device->getCapabilities([](ErrorStatus status, const Capabilities& capabilities) {
+ EXPECT_EQ(ErrorStatus::NONE, status);
+ EXPECT_LT(0.0f, capabilities.float32Performance.execTime);
+ EXPECT_LT(0.0f, capabilities.float32Performance.powerUsage);
+ EXPECT_LT(0.0f, capabilities.quantized8Performance.execTime);
+ EXPECT_LT(0.0f, capabilities.quantized8Performance.powerUsage);
+ });
+ EXPECT_TRUE(ret.isOk());
+}
+
+} // namespace functional
+} // namespace vts
+} // namespace V1_0
+} // namespace neuralnetworks
+} // namespace hardware
+} // namespace android