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 "Accumulate.h"
25
26 #include "arm_compute/core/Types.h"
27 #include "tests/validation/Helpers.h"
28
29 namespace arm_compute
30 {
31 namespace test
32 {
33 namespace validation
34 {
35 namespace reference
36 {
37 template <typename T1, typename T2>
accumulate(const SimpleTensor<T1> & src,DataType output_data_type)38 SimpleTensor<T2> accumulate(const SimpleTensor<T1> &src, DataType output_data_type)
39 {
40 SimpleTensor<T2> dst{ src.shape(), output_data_type };
41
42 library->fill_tensor_uniform(dst, 1, static_cast<T2>(0), static_cast<T2>(std::numeric_limits<T1>::max()));
43
44 using intermediate_type = typename common_promoted_signed_type<T1, T2>::intermediate_type;
45 #if defined(_OPENMP)
46 #pragma omp parallel for
47 #endif /* _OPENMP */
48 for(int i = 0; i < src.num_elements(); ++i)
49 {
50 intermediate_type val = static_cast<intermediate_type>(src[i]) + static_cast<intermediate_type>(dst[i]);
51 dst[i] = saturate_cast<T2>(val);
52 }
53
54 return dst;
55 }
56
57 template <typename T1, typename T2>
accumulate_weighted(const SimpleTensor<T1> & src,float alpha,DataType output_data_type)58 SimpleTensor<T2> accumulate_weighted(const SimpleTensor<T1> &src, float alpha, DataType output_data_type)
59 {
60 ARM_COMPUTE_ERROR_ON_MSG(alpha < 0.f || alpha > 1.f, "Weight (alpha) specified in accumulate_weighted must be within the range [0, 1]");
61
62 SimpleTensor<T2> dst{ src.shape(), output_data_type };
63
64 library->fill_tensor_uniform(dst, 1, static_cast<T2>(0), static_cast<T2>(std::numeric_limits<T1>::max()));
65
66 using intermediate_type = typename common_promoted_signed_type<T1, T2>::intermediate_type;
67 #if defined(_OPENMP)
68 #pragma omp parallel for
69 #endif /* _OPENMP */
70 for(int i = 0; i < src.num_elements(); ++i)
71 {
72 double val = (1. - static_cast<double>(alpha)) * static_cast<intermediate_type>(dst[i]) + static_cast<double>(alpha) * static_cast<intermediate_type>(src[i]);
73 dst[i] = static_cast<T2>(val);
74 }
75
76 return dst;
77 }
78
79 template <typename T1, typename T2>
accumulate_squared(const SimpleTensor<T1> & src,uint32_t shift,DataType output_data_type)80 SimpleTensor<T2> accumulate_squared(const SimpleTensor<T1> &src, uint32_t shift, DataType output_data_type)
81 {
82 ARM_COMPUTE_ERROR_ON_MSG(shift > 15, "Shift in accumulate_squared must be within the range [0, 15]");
83
84 SimpleTensor<T2> dst{ src.shape(), output_data_type };
85
86 library->fill_tensor_uniform(dst, 1, static_cast<T2>(0), static_cast<T2>(std::numeric_limits<T1>::max()));
87
88 using intermediate_type = typename common_promoted_signed_type<T1, T2>::intermediate_type;
89 intermediate_type denom = 1 << shift;
90 #if defined(_OPENMP)
91 #pragma omp parallel for
92 #endif /* _OPENMP */
93 for(int i = 0; i < src.num_elements(); ++i)
94 {
95 intermediate_type val = static_cast<intermediate_type>(dst[i]) + (static_cast<intermediate_type>(src[i]) * static_cast<intermediate_type>(src[i]) / denom);
96 dst[i] = saturate_cast<T2>(val);
97 }
98
99 return dst;
100 }
101
102 template SimpleTensor<int16_t> accumulate(const SimpleTensor<uint8_t> &src, DataType output_data_type);
103 template SimpleTensor<uint8_t> accumulate_weighted(const SimpleTensor<uint8_t> &src, float alpha, DataType output_data_type);
104 template SimpleTensor<int16_t> accumulate_squared(const SimpleTensor<uint8_t> &src, uint32_t shift, DataType output_data_type);
105 } // namespace reference
106 } // namespace validation
107 } // namespace test
108 } // namespace arm_compute
109