xref: /aosp_15_r20/external/ComputeLibrary/tests/validation/reference/NormalizePlanarYUVLayer.cpp (revision c217d954acce2dbc11938adb493fc0abd69584f3)
1 /*
2  * Copyright (c) 2017-2020 Arm Limited.
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4  * SPDX-License-Identifier: MIT
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7  * of this software and associated documentation files (the "Software"), to
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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:
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13  * The above copyright notice and this permission notice shall be included in all
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23  */
24 #include "NormalizePlanarYUVLayer.h"
25 
26 #include "tests/validation/Helpers.h"
27 
28 namespace arm_compute
29 {
30 namespace test
31 {
32 namespace validation
33 {
34 namespace reference
35 {
36 // NormalizePlanarYUV Layer for floating point type
37 template <typename T>
normalize_planar_yuv_layer(const SimpleTensor<T> & src,const SimpleTensor<T> & mean,const SimpleTensor<T> & std)38 SimpleTensor<T> normalize_planar_yuv_layer(const SimpleTensor<T> &src, const SimpleTensor<T> &mean, const SimpleTensor<T> &std)
39 {
40     SimpleTensor<T> result(src.shape(), src.data_type());
41 
42     const auto cols       = static_cast<int>(src.shape()[0]);
43     const auto rows       = static_cast<int>(src.shape()[1]);
44     const auto depth      = static_cast<int>(src.shape()[2]);
45     const int  upper_dims = src.shape().total_size() / (cols * rows * depth);
46 
47     for(int r = 0; r < upper_dims; ++r)
48     {
49         for(int i = 0; i < depth; ++i)
50         {
51             for(int k = 0; k < rows; ++k)
52             {
53                 for(int l = 0; l < cols; ++l)
54                 {
55                     const int pos = l + k * cols + i * rows * cols + r * cols * rows * depth;
56                     result[pos]   = (src[pos] - mean[i]) / std[i];
57                 }
58             }
59         }
60     }
61     return result;
62 }
63 
64 template <>
normalize_planar_yuv_layer(const SimpleTensor<uint8_t> & src,const SimpleTensor<uint8_t> & mean,const SimpleTensor<uint8_t> & std)65 SimpleTensor<uint8_t> normalize_planar_yuv_layer<uint8_t>(const SimpleTensor<uint8_t> &src, const SimpleTensor<uint8_t> &mean, const SimpleTensor<uint8_t> &std)
66 {
67     SimpleTensor<float>   src_tmp  = convert_from_asymmetric(src);
68     SimpleTensor<float>   mean_tmp = convert_from_asymmetric(mean);
69     SimpleTensor<float>   std_tmp  = convert_from_asymmetric(std);
70     SimpleTensor<float>   dst_tmp  = normalize_planar_yuv_layer<float>(src_tmp, mean_tmp, std_tmp);
71     SimpleTensor<uint8_t> dst      = convert_to_asymmetric<uint8_t>(dst_tmp, src.quantization_info());
72     return dst;
73 }
74 
75 template <>
normalize_planar_yuv_layer(const SimpleTensor<int8_t> & src,const SimpleTensor<int8_t> & mean,const SimpleTensor<int8_t> & std)76 SimpleTensor<int8_t> normalize_planar_yuv_layer<int8_t>(const SimpleTensor<int8_t> &src, const SimpleTensor<int8_t> &mean, const SimpleTensor<int8_t> &std)
77 {
78     SimpleTensor<float>  src_tmp  = convert_from_asymmetric(src);
79     SimpleTensor<float>  mean_tmp = convert_from_asymmetric(mean);
80     SimpleTensor<float>  std_tmp  = convert_from_asymmetric(std);
81     SimpleTensor<float>  dst_tmp  = normalize_planar_yuv_layer<float>(src_tmp, mean_tmp, std_tmp);
82     SimpleTensor<int8_t> dst      = convert_to_asymmetric<int8_t>(dst_tmp, src.quantization_info());
83     return dst;
84 }
85 
86 template SimpleTensor<half> normalize_planar_yuv_layer(const SimpleTensor<half> &src, const SimpleTensor<half> &mean, const SimpleTensor<half> &std);
87 template SimpleTensor<float> normalize_planar_yuv_layer(const SimpleTensor<float> &src, const SimpleTensor<float> &mean, const SimpleTensor<float> &std);
88 } // namespace reference
89 } // namespace validation
90 } // namespace test
91 } // namespace arm_compute
92