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/*
* 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 "NeuralNetworksWrapper.h"
#include <gtest/gtest.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());
}
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