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50 lines
1.8 KiB
50 lines
1.8 KiB
/*
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* Copyright (C) 2021 The Android Open Source Project
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include <gtest/gtest.h>
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#include "NeuralNetworks.h"
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class UpdatabilityTest : public ::testing::Test {};
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TEST_F(UpdatabilityTest, GetFeatureLevel) {
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if (__builtin_available(android __NNAPI_FL5_MIN_ANDROID_API__, *)) {
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EXPECT_GE(ANeuralNetworks_getRuntimeFeatureLevel(), ANEURALNETWORKS_FEATURE_LEVEL_5);
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} else {
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GTEST_SKIP();
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}
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}
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TEST_F(UpdatabilityTest, DeviceFeatureLevelLowerOrEqualToRuntimeFeatureLevel) {
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if (__builtin_available(android __NNAPI_FL5_MIN_ANDROID_API__, *)) {
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const int64_t runtimeFeatureLevel = ANeuralNetworks_getRuntimeFeatureLevel();
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uint32_t numDevices = 0;
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EXPECT_EQ(ANeuralNetworks_getDeviceCount(&numDevices), ANEURALNETWORKS_NO_ERROR);
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for (uint32_t i = 0; i < numDevices; i++) {
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SCOPED_TRACE(i);
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int64_t featureLevel;
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ANeuralNetworksDevice* device;
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EXPECT_EQ(ANeuralNetworks_getDevice(i, &device), ANEURALNETWORKS_NO_ERROR);
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EXPECT_EQ(ANeuralNetworksDevice_getFeatureLevel(device, &featureLevel),
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ANEURALNETWORKS_NO_ERROR);
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EXPECT_LE(featureLevel, runtimeFeatureLevel);
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}
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} else {
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GTEST_SKIP();
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}
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}
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