1 /*
2 * Copyright (c) 2017-2020 Arm Limited.
3 *
4 * SPDX-License-Identifier: MIT
5 *
6 * Permission is hereby granted, free of charge, to any person obtaining a copy
7 * of this software and associated documentation files (the "Software"), to
8 * deal in the Software without restriction, including without limitation the
9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
10 * sell copies of the Software, and to permit persons to whom the Software is
11 * furnished to do so, subject to the following conditions:
12 *
13 * The above copyright notice and this permission notice shall be included in all
14 * copies or substantial portions of the Software.
15 *
16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
22 * SOFTWARE.
23 */
24 #include "RawTensor.h"
25
26 namespace arm_compute
27 {
28 namespace test
29 {
RawTensor(TensorShape shape,Format format)30 RawTensor::RawTensor(TensorShape shape, Format format)
31 : SimpleTensor(shape, format)
32 {
33 _buffer = std::make_unique<uint8_t[]>(SimpleTensor::num_elements() * SimpleTensor::num_channels() * SimpleTensor::element_size());
34 }
35
RawTensor(TensorShape shape,DataType data_type,int num_channels)36 RawTensor::RawTensor(TensorShape shape, DataType data_type, int num_channels)
37 : SimpleTensor(shape, data_type, num_channels)
38 {
39 _buffer = std::make_unique<uint8_t[]>(SimpleTensor::num_elements() * SimpleTensor::num_channels() * SimpleTensor::element_size());
40 }
41
RawTensor(const RawTensor & tensor)42 RawTensor::RawTensor(const RawTensor &tensor)
43 : SimpleTensor(tensor.shape(), tensor.data_type(), tensor.num_channels())
44 {
45 _format = tensor.format();
46 _buffer = std::make_unique<uint8_t[]>(num_elements() * num_channels() * element_size());
47 std::copy_n(tensor.data(), num_elements() * num_channels() * element_size(), _buffer.get());
48 }
49
operator =(RawTensor tensor)50 RawTensor &RawTensor::operator=(RawTensor tensor)
51 {
52 swap(*this, tensor);
53
54 return *this;
55 }
56
operator ()(const Coordinates & coord) const57 const void *RawTensor::operator()(const Coordinates &coord) const
58 {
59 return _buffer.get() + coord2index(_shape, coord) * element_size();
60 }
61
operator ()(const Coordinates & coord)62 void *RawTensor::operator()(const Coordinates &coord)
63 {
64 return _buffer.get() + coord2index(_shape, coord) * element_size();
65 }
66 } // namespace test
67 } // namespace arm_compute
68