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/*
* Copyright (C) 2019 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.
*/
package com.android.nn.benchmark.vts.v1_2;
import static junit.framework.TestCase.assertFalse;
import static junit.framework.TestCase.assertTrue;
import android.app.Activity;
import android.hidl.manager.V1_2.IServiceManager;
import android.os.RemoteException;
import android.util.Pair;
import androidx.test.InstrumentationRegistry;
import androidx.test.filters.LargeTest;
import androidx.test.rule.ActivityTestRule;
import com.android.nn.benchmark.core.BenchmarkException;
import com.android.nn.benchmark.core.BenchmarkResult;
import com.android.nn.benchmark.core.InferenceInOutSequence;
import com.android.nn.benchmark.core.InferenceResult;
import com.android.nn.benchmark.core.NNTestBase;
import com.android.nn.benchmark.core.TestModels;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import org.junit.AssumptionViolatedException;
import org.junit.Before;
import org.junit.Rule;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.junit.runners.Parameterized;
import org.junit.runners.Parameterized.Parameters;
/**
* Tests the accuracy of the model outputs.
*/
@RunWith(Parameterized.class)
public class NNAccuracyTest {
private static final String HAL_SERVICE_TYPE = "android.hardware.neuralnetworks@1.2::IDevice";
@Rule
public ActivityTestRule<NNAccuracyActivity> mActivityRule =
new ActivityTestRule<>(NNAccuracyActivity.class);
private static class InstanceModel {
final String mInstance;
final TestModels.TestModelEntry mEntry;
InstanceModel(String instance, TestModels.TestModelEntry entry) {
mInstance = instance;
mEntry = entry;
}
@Override
public String toString() {
return mInstance + ":" + mEntry.mModelName;
}
}
@Parameterized.Parameter(0) public InstanceModel mModel;
private Activity mActivity;
// TODO(vddang): Add mobilenet_v1_0.25_128_quant_topk_aosp
private static final String[] MODEL_NAMES = new String[] {
"tts_float",
"asr_float",
"mobilenet_v1_1.0_224_quant_topk_aosp",
"mobilenet_v1_1.0_224_topk_aosp",
"mobilenet_v1_0.75_192_quant_topk_aosp",
"mobilenet_v1_0.75_192_topk_aosp",
"mobilenet_v1_0.5_160_quant_topk_aosp",
"mobilenet_v1_0.5_160_topk_aosp",
"mobilenet_v1_0.25_128_topk_aosp",
"mobilenet_v2_0.35_128_topk_aosp",
"mobilenet_v2_0.5_160_topk_aosp",
"mobilenet_v2_0.75_192_topk_aosp",
"mobilenet_v2_1.0_224_quant_topk_aosp",
"mobilenet_v2_1.0_224_topk_aosp",
};
@Parameters(name = "{0}")
public static Iterable<InstanceModel> parameterList() throws RemoteException {
List<String> serviceInstances =
IServiceManager.getService().listManifestByInterface(HAL_SERVICE_TYPE);
List<InstanceModel> parameters = new ArrayList<>();
for (String instance : serviceInstances) {
for (String modelName : MODEL_NAMES) {
TestModels.TestModelEntry entry = TestModels.getModelByName(modelName);
if (entry == null) {
throw new RuntimeException("Failed to find model of name " + modelName);
}
parameters.add(new InstanceModel(instance, entry));
}
}
return Collections.unmodifiableList(parameters);
}
@Before
public void setUp() throws Exception {
mActivity = mActivityRule.getActivity();
}
@Test
@LargeTest
public void testDriver() throws BenchmarkException, IOException {
try (NNTestBase test = mModel.mEntry.createNNTestBase()) {
test.useNNApi();
test.setNNApiDeviceName(mModel.mInstance);
if (!test.setupModel(mActivity)) {
throw new AssumptionViolatedException("The driver rejected the model.");
}
Pair<List<InferenceInOutSequence>, List<InferenceResult>> inferenceResults =
test.runBenchmarkCompleteInputSet(/*setRepeat=*/1, /*timeoutSec=*/3600);
BenchmarkResult benchmarkResult = BenchmarkResult.fromInferenceResults(
mModel.mEntry.mModelName, BenchmarkResult.BACKEND_TFLITE_NNAPI,
inferenceResults.first, inferenceResults.second, test.getEvaluator());
assertFalse(benchmarkResult.hasValidationErrors());
}
}
}