/* * Copyright (C) 2017 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. */ #include #include "NeuralNetworksWrapper.h" using namespace ::android::nn::wrapper; // This file tests certain aspects of the interfaces from NeuralNetworksWrapper.h. class WrapperTestModelFinish : public ::testing::Test { protected: void SetUp() override { OperandType type(Type::TENSOR_FLOAT32, {1}); mIn = mModel.addOperand(&type); mOut = mModel.addOperand(&type); mModel.addOperation(ANEURALNETWORKS_TANH, {mIn}, {mOut}); } Model mModel; uint32_t mIn, mOut; }; TEST_F(WrapperTestModelFinish, Good) { ASSERT_TRUE(mModel.isValid()); mModel.identifyInputsAndOutputs({mIn}, {mOut}); ASSERT_TRUE(mModel.isValid()); ASSERT_EQ(mModel.finish(), Result::NO_ERROR); ASSERT_TRUE(mModel.isValid()); } TEST_F(WrapperTestModelFinish, BadIdentify) { ASSERT_TRUE(mModel.isValid()); // A Model must have at least one input and one output. Verify // that if it doesn't, then isValid() goes false and finish() // fails. mModel.identifyInputsAndOutputs({}, {}); ASSERT_FALSE(mModel.isValid()); ASSERT_EQ(mModel.finish(), Result::BAD_STATE); ASSERT_FALSE(mModel.isValid()); } TEST_F(WrapperTestModelFinish, BadFinish) { ASSERT_TRUE(mModel.isValid()); mModel.identifyInputsAndOutputs({mIn}, {mOut}); ASSERT_TRUE(mModel.isValid()); ASSERT_EQ(mModel.finish(), Result::NO_ERROR); ASSERT_TRUE(mModel.isValid()); // The easiest way to get a failed finish() is to call it a second // time. Verify that this fails and that isValid() goes false. ASSERT_EQ(mModel.finish(), Result::BAD_STATE); ASSERT_FALSE(mModel.isValid()); }