Line data Source code
1 : ///////////////////////////////////////////////////////////////////////////////
2 : // Copyright 2019 Lakshman Anumolu, Raunak Bardia.
3 : //
4 : // Redistribution and use in source and binary forms, with or without
5 : // modification, are permitted provided that the following conditions are
6 : // met:
7 : //
8 : // 1. Redistributions of source code must retain the above copyright notice,
9 : // this list of conditions and the following disclaimer.
10 : //
11 : // 2. Redistributions in binary form must reproduce the above copyright notice,
12 : // this list of conditions and the following disclaimer in the documentation
13 : // and/or other materials provided with the distribution.
14 : //
15 : // 3. Neither the name of the copyright holder nor the names of its contributors
16 : // may be used to endorse or promote products derived from this software without
17 : // specific prior written permission.
18 : //
19 : // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
20 : // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
21 : // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
22 : // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
23 : // HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
24 : // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
25 : // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
26 : // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
27 : // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
28 : // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
29 : // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
30 : ///////////////////////////////////////////////////////////////////////////////
31 :
32 : #include "gals/utilities/vec_n.h"
33 :
34 : template <typename T, int SIZE>
35 530273 : GALS::CPU::VecN<T, SIZE>::VecN()
36 : {
37 530273 : m_data.resize(SIZE);
38 :
39 3878972 : for (int i = 0; i < SIZE; ++i) m_data[i] = static_cast<T>(0);
40 530273 : }
41 :
42 : template <typename T, int SIZE>
43 530273 : GALS::CPU::VecN<T, SIZE>::~VecN()
44 : {
45 530273 : m_data.clear();
46 : m_data.shrink_to_fit();
47 530273 : }
48 :
49 : template <typename T, int SIZE>
50 55 : const int GALS::CPU::VecN<T, SIZE>::size() const
51 : {
52 110 : return m_data.size();
53 : }
54 :
55 : template <typename T, int SIZE>
56 252502 : const T GALS::CPU::VecN<T, SIZE>::operator[](const int idx) const
57 : {
58 505004 : return m_data[idx];
59 : }
60 :
61 : template <typename T, int SIZE>
62 1234500 : T& GALS::CPU::VecN<T, SIZE>::operator[](const int idx)
63 : {
64 2469000 : return m_data[idx];
65 : }
66 :
67 : template class GALS::CPU::VecN<int, 1>;
68 : template class GALS::CPU::VecN<int, 2>;
69 : template class GALS::CPU::VecN<int, 3>;
70 : template class GALS::CPU::VecN<double, 0>;
71 : template class GALS::CPU::VecN<double, 1>;
72 : template class GALS::CPU::VecN<double, 2>;
73 : template class GALS::CPU::VecN<double, 3>;
74 2 : template class GALS::CPU::VecN<double, 4>;
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