1 /*
2 * Copyright (c) 2018-2019 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 "StackLayer.h"
25
26 #include "arm_compute/core/Types.h"
27
28 #include "tests/validation/Helpers.h"
29
30 #include <vector>
31
32 namespace arm_compute
33 {
34 namespace test
35 {
36 namespace validation
37 {
38 namespace reference
39 {
40 template <typename T>
stack_layer(const std::vector<SimpleTensor<T>> & in,const TensorShape & output_shape,DataType data_type,unsigned int axis)41 SimpleTensor<T> stack_layer(const std::vector<SimpleTensor<T>> &in, const TensorShape &output_shape, DataType data_type, unsigned int axis)
42 {
43 ARM_COMPUTE_ERROR_ON(output_shape.num_dimensions() > 5);
44 ARM_COMPUTE_ERROR_ON(in.size() < 2);
45 ARM_COMPUTE_ERROR_ON(axis > in[0].shape().num_dimensions());
46
47 SimpleTensor<T> out{ output_shape, data_type };
48
49 const int width = in[0].shape()[0];
50 const int height = in[0].shape()[1];
51 const int depth = in[0].shape()[2];
52 const int batch_size = in[0].shape()[3];
53 const int num_tensors = in.size();
54
55 // Array to store the input coordinates
56 // i_coordinates[0] = xi, i_coordinates[1] = yi, i_coordinates[2] = zi
57 // i_coordinates[3] = bi, i_coordinates[4] = i, i_coordinates[5] = 0
58 // i_coordinates[5] will be always zero and used for not incrementing the output when the input has less than 4 dimensions
59 std::array<int, 6> i_coordinates{ 0 };
60
61 // Array of pointers used to map the output coordinates to the input ones accordingly with the axis
62 // This array is initialized with &i_coordinates[5] since this will be always zero
63 std::array<int *, 5> o_coordinates = { &i_coordinates[5], &i_coordinates[5], &i_coordinates[5], &i_coordinates[5], &i_coordinates[5] };
64
65 // Set the axis coordinate
66 o_coordinates[axis] = &i_coordinates[4];
67
68 unsigned int k_shift = 0;
69
70 // Map the output coordinates
71 for(unsigned int k = 0; k < in[0].shape().num_dimensions(); ++k)
72 {
73 if(k == axis)
74 {
75 k_shift++;
76 }
77
78 o_coordinates[k + k_shift] = &i_coordinates[k];
79 }
80
81 // Use alias for the input coordinates
82 int &xi = i_coordinates[0];
83 int &yi = i_coordinates[1];
84 int &zi = i_coordinates[2];
85 int &bi = i_coordinates[3];
86 int &i = i_coordinates[4];
87
88 // Use alias for the output coordinates
89 int &xo = *(o_coordinates[0]);
90 int &yo = *(o_coordinates[1]);
91 int &zo = *(o_coordinates[2]);
92 int &bo = *(o_coordinates[3]);
93 int &wo = *(o_coordinates[4]);
94
95 // Stack tensors
96 for(; i < num_tensors; ++(i))
97 {
98 bi = 0;
99 for(; bi < batch_size; ++(bi))
100 {
101 zi = 0;
102 for(; zi < depth; ++(zi))
103 {
104 yi = 0;
105 for(; yi < height; ++(yi))
106 {
107 xi = 0;
108 for(; xi < width; ++(xi))
109 {
110 *(reinterpret_cast<T *>(out(Coordinates(xo, yo, zo, bo, wo)))) = *(reinterpret_cast<const T *>(in[i](Coordinates(xi, yi, zi, bi))));
111 }
112 }
113 }
114 }
115 }
116
117 return out;
118 }
119 template SimpleTensor<int> stack_layer(const std::vector<SimpleTensor<int>> &in, const TensorShape &output_shape, DataType data_type, unsigned int axis);
120 template SimpleTensor<short> stack_layer(const std::vector<SimpleTensor<short>> &in, const TensorShape &output_shape, DataType data_type, unsigned int axis);
121 template SimpleTensor<char> stack_layer(const std::vector<SimpleTensor<char>> &in, const TensorShape &output_shape, DataType data_type, unsigned int axis);
122 } // namespace reference
123 } // namespace validation
124 } // namespace test
125 } // namespace arm_compute
126