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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 "nncc/core/ADT/tensor/Index.h"
#include <gtest/gtest.h>
TEST(ADT_TENSOR_INDEX, ctor)
{
nncc::core::ADT::tensor::Index index;
ASSERT_EQ(index.rank(), 0);
}
TEST(ADT_TENSOR_INDEX, ctor_initializer_list)
{
const nncc::core::ADT::tensor::Index index{1, 3, 5, 7};
ASSERT_EQ(index.rank(), 4);
ASSERT_EQ(index.at(0), 1);
ASSERT_EQ(index.at(1), 3);
ASSERT_EQ(index.at(2), 5);
ASSERT_EQ(index.at(3), 7);
}
TEST(ADT_TENSOR_INDEX, operator_add)
{
nncc::core::ADT::tensor::Index index1{1, 2, 3, 4};
nncc::core::ADT::tensor::Index index2{5, 6, 7, 8};
nncc::core::ADT::tensor::Index result{index1 + index2};
ASSERT_EQ(result.at(0), 6);
ASSERT_EQ(result.at(1), 8);
ASSERT_EQ(result.at(2), 10);
ASSERT_EQ(result.at(3), 12);
}
TEST(ADT_TENSOR_INDEX, operator_eqaul)
{
nncc::core::ADT::tensor::Index index1{1, 2, 3, 4};
nncc::core::ADT::tensor::Index index2{1, 2, 3, 4};
nncc::core::ADT::tensor::Index index3{5, 6, 7, 8};
nncc::core::ADT::tensor::Index index4{1, 2};
ASSERT_TRUE(index1 == index2);
ASSERT_FALSE(index1 == index3);
ASSERT_FALSE(index1 == index4);
}
TEST(ADT_TENSOR_INDEX, operator_add_different_size)
{
nncc::core::ADT::tensor::Index index1{1, 2, 3, 4};
nncc::core::ADT::tensor::Index index2{5, 6};
EXPECT_THROW(index1 + index2, std::runtime_error);
}
TEST(ADT_TENSOR_INDEX, resize)
{
nncc::core::ADT::tensor::Index index;
index.resize(4);
ASSERT_EQ(index.rank(), 4);
}
TEST(ADT_TENSOR_INDEX, at)
{
nncc::core::ADT::tensor::Index index;
index.resize(4);
uint32_t indices[4] = {3, 5, 2, 7};
for (uint32_t axis = 0; axis < 4; ++axis)
{
index.at(axis) = indices[axis];
ASSERT_EQ(index.at(axis), indices[axis]);
}
}
TEST(ADT_TENSOR_INDEX, copy)
{
const nncc::core::ADT::tensor::Index original{3, 5, 2, 7};
const nncc::core::ADT::tensor::Index copied{original};
ASSERT_EQ(original.rank(), copied.rank());
for (uint32_t axis = 0; axis < 4; ++axis)
{
ASSERT_EQ(original.at(axis), copied.at(axis));
}
}
TEST(ADT_TENSOR_INDEX, fill)
{
nncc::core::ADT::tensor::Index index{1, 6};
index.fill(3);
ASSERT_EQ(index.rank(), 2);
ASSERT_EQ(index.at(0), 3);
ASSERT_EQ(index.at(1), 3);
}
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