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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/Buffer.h"
#include "nncc/core/ADT/tensor/LexicalLayout.h"
#include <gtest/gtest.h>
using nncc::core::ADT::tensor::Shape;
using nncc::core::ADT::tensor::Index;
using nncc::core::ADT::tensor::LexicalLayout;
using nncc::core::ADT::tensor::Buffer;
using nncc::core::ADT::tensor::make_buffer;
TEST(ADT_TENSOR_BUFFER, ctor)
{
const Shape shape{2, 3};
auto buffer = make_buffer<int, LexicalLayout>(shape);
ASSERT_EQ(buffer.shape(), shape);
}
TEST(ADT_TENSOR_BUFFER, access)
{
const Shape shape{2, 3};
auto buffer = make_buffer<int, LexicalLayout>(shape);
const Index index{1, 2};
ASSERT_EQ(buffer.at(index), 0);
buffer.at(index) = 4;
// Casting is introduced to use 'const T &at(...) const' method
ASSERT_EQ(static_cast<const Buffer<int> &>(buffer).at(index), 4);
}
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