| /* |
| * 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. |
| */ |
| |
| #ifndef ANDROID_HARDWARE_NEURALNETWORKS_V1_2_GENERATED_TEST_HARNESS_H |
| #define ANDROID_HARDWARE_NEURALNETWORKS_V1_2_GENERATED_TEST_HARNESS_H |
| |
| #include <android/hardware/neuralnetworks/1.2/IDevice.h> |
| #include <android/hardware/neuralnetworks/1.2/IPreparedModel.h> |
| #include <android/hardware/neuralnetworks/1.2/types.h> |
| #include <functional> |
| #include <vector> |
| #include "TestHarness.h" |
| |
| namespace android { |
| namespace hardware { |
| namespace neuralnetworks { |
| namespace generated_tests { |
| |
| using ::test_helper::MixedTypedExample; |
| |
| void PrepareModel(const sp<V1_2::IDevice>& device, const V1_2::Model& model, |
| sp<V1_2::IPreparedModel>* preparedModel); |
| |
| void EvaluatePreparedModel(sp<V1_2::IPreparedModel>& preparedModel, |
| std::function<bool(int)> is_ignored, |
| const std::vector<MixedTypedExample>& examples, |
| bool hasRelaxedFloat32Model, bool testDynamicOutputShape); |
| |
| void Execute(const sp<V1_2::IDevice>& device, std::function<V1_2::Model(void)> create_model, |
| std::function<bool(int)> is_ignored, const std::vector<MixedTypedExample>& examples, |
| bool testDynamicOutputShape = false); |
| |
| } // namespace generated_tests |
| } // namespace neuralnetworks |
| } // namespace hardware |
| } // namespace android |
| |
| #endif // ANDROID_HARDWARE_NEURALNETWORKS_V1_2_GENERATED_TEST_HARNESS_H |