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      1 /*
      2  * Copyright (C) 2017 The Android Open Source Project
      3  *
      4  * Licensed under the Apache License, Version 2.0 (the "License");
      5  * you may not use this file except in compliance with the License.
      6  * You may obtain a copy of the License at
      7  *
      8  *      http://www.apache.org/licenses/LICENSE-2.0
      9  *
     10  * Unless required by applicable law or agreed to in writing, software
     11  * distributed under the License is distributed on an "AS IS" BASIS,
     12  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
     13  * See the License for the specific language governing permissions and
     14  * limitations under the License.
     15  */
     16 
     17 #include "NeuralNetworksWrapper.h"
     18 
     19 #include <gtest/gtest.h>
     20 
     21 using namespace ::android::nn::wrapper;
     22 
     23 // This file tests certain aspects of the interfaces from NeuralNetworksWrapper.h.
     24 
     25 class WrapperTestModelFinish : public ::testing::Test {
     26 protected:
     27     void SetUp() override {
     28         OperandType type(Type::TENSOR_FLOAT32, {1});
     29         mIn = mModel.addOperand(&type);
     30         mOut = mModel.addOperand(&type);
     31         mModel.addOperation(ANEURALNETWORKS_TANH, {mIn}, {mOut});
     32     }
     33 
     34     Model mModel;
     35     uint32_t mIn, mOut;
     36 };
     37 
     38 TEST_F(WrapperTestModelFinish, Good) {
     39     ASSERT_TRUE(mModel.isValid());
     40     mModel.identifyInputsAndOutputs({mIn}, {mOut});
     41     ASSERT_TRUE(mModel.isValid());
     42     ASSERT_EQ(mModel.finish(), Result::NO_ERROR);
     43     ASSERT_TRUE(mModel.isValid());
     44 }
     45 
     46 TEST_F(WrapperTestModelFinish, BadIdentify) {
     47     ASSERT_TRUE(mModel.isValid());
     48     // A Model must have at least one input and one output. Verify
     49     // that if it doesn't, then isValid() goes false and finish()
     50     // fails.
     51     mModel.identifyInputsAndOutputs({}, {});
     52     ASSERT_FALSE(mModel.isValid());
     53     ASSERT_EQ(mModel.finish(), Result::BAD_STATE);
     54     ASSERT_FALSE(mModel.isValid());
     55 }
     56 
     57 TEST_F(WrapperTestModelFinish, BadFinish) {
     58     ASSERT_TRUE(mModel.isValid());
     59     mModel.identifyInputsAndOutputs({mIn}, {mOut});
     60     ASSERT_TRUE(mModel.isValid());
     61     ASSERT_EQ(mModel.finish(), Result::NO_ERROR);
     62     ASSERT_TRUE(mModel.isValid());
     63     // The easiest way to get a failed finish() is to call it a second
     64     // time. Verify that this fails and that isValid() goes false.
     65     ASSERT_EQ(mModel.finish(), Result::BAD_STATE);
     66     ASSERT_FALSE(mModel.isValid());
     67 }
     68