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/*
* Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
*
* 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 <gtest/gtest.h>
#include "model/operand/Set.h"
TEST(graph_operand_Set, set_test)
{
neurun::model::operand::Set set;
::neurun::model::operand::Shape shape0{3};
shape0.dim(0) = 1;
shape0.dim(1) = 2;
shape0.dim(2) = 3;
::neurun::model::operand::Shape shape1{4};
shape1.dim(0) = 10;
shape1.dim(1) = 20;
shape1.dim(2) = 30;
shape1.dim(3) = 40;
::neurun::model::operand::TypeInfo type{ANEURALNETWORKS_TENSOR_INT32, 0, 0};
set.append(shape0, type);
set.append(shape1, type);
ASSERT_EQ(set.exist(neurun::model::operand::Index{0u}), true);
ASSERT_EQ(set.exist(neurun::model::operand::Index{1u}), true);
ASSERT_EQ(set.exist(neurun::model::operand::Index{2u}), false);
ASSERT_EQ(set.at(neurun::model::operand::Index{0u}).shape().dim(0), 1);
ASSERT_EQ(set.at(neurun::model::operand::Index{0u}).shape().dim(1), 2);
ASSERT_EQ(set.at(neurun::model::operand::Index{0u}).shape().dim(2), 3);
}
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