64 lines
2.5 KiB
C++
64 lines
2.5 KiB
C++
/*
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* Copyright (C) 2018 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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#ifndef ANDROID_HARDWARE_NEURALNETWORKS_V1_3_VTS_HAL_NEURALNETWORKS_H
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#define ANDROID_HARDWARE_NEURALNETWORKS_V1_3_VTS_HAL_NEURALNETWORKS_H
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#include <android/hardware/neuralnetworks/1.3/IDevice.h>
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#include <android/hardware/neuralnetworks/1.3/IPreparedModel.h>
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#include <android/hardware/neuralnetworks/1.3/types.h>
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#include <gtest/gtest.h>
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#include <vector>
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#include "1.0/Utils.h"
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#include "1.3/Callbacks.h"
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namespace android::hardware::neuralnetworks::V1_3::vts::functional {
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using NamedDevice = Named<sp<IDevice>>;
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using NeuralnetworksHidlTestParam = NamedDevice;
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class NeuralnetworksHidlTest : public testing::TestWithParam<NeuralnetworksHidlTestParam> {
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protected:
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void SetUp() override;
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const sp<IDevice> kDevice = getData(GetParam());
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};
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const std::vector<NamedDevice>& getNamedDevices();
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std::string printNeuralnetworksHidlTest(
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const testing::TestParamInfo<NeuralnetworksHidlTestParam>& info);
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#define INSTANTIATE_DEVICE_TEST(TestSuite) \
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GTEST_ALLOW_UNINSTANTIATED_PARAMETERIZED_TEST(TestSuite); \
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INSTANTIATE_TEST_SUITE_P(PerInstance, TestSuite, testing::ValuesIn(getNamedDevices()), \
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printNeuralnetworksHidlTest)
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// Create an IPreparedModel object. If the model cannot be prepared,
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// "preparedModel" will be nullptr instead.
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void createPreparedModel(const sp<IDevice>& device, const Model& model,
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sp<IPreparedModel>* preparedModel, bool reportSkipping = true);
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// Utility function to get PreparedModel from callback and downcast to V1_2.
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sp<IPreparedModel> getPreparedModel_1_3(const sp<implementation::PreparedModelCallback>& callback);
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enum class Executor { ASYNC, SYNC, BURST, FENCED };
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std::string toString(Executor executor);
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} // namespace android::hardware::neuralnetworks::V1_3::vts::functional
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#endif // ANDROID_HARDWARE_NEURALNETWORKS_V1_3_VTS_HAL_NEURALNETWORKS_H
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