xref: /aosp_15_r20/external/ComputeLibrary/tests/validation/reference/DequantizationLayer.cpp (revision c217d954acce2dbc11938adb493fc0abd69584f3)
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 "DequantizationLayer.h"
25 
26 #include "Permute.h"
27 
28 namespace arm_compute
29 {
30 namespace test
31 {
32 namespace validation
33 {
34 namespace reference
35 {
36 namespace
37 {
38 template <typename TOut>
dequantize(int8_t val,const UniformQuantizationInfo qinfo,DataType dt)39 TOut dequantize(int8_t val, const UniformQuantizationInfo qinfo, DataType dt)
40 {
41     if(dt == DataType::QSYMM8 || dt == DataType::QSYMM8_PER_CHANNEL)
42     {
43         return static_cast<TOut>(dequantize_qsymm8(val, qinfo));
44     }
45     else
46     {
47         return static_cast<TOut>(dequantize_qasymm8_signed(val, qinfo));
48     }
49 }
50 template <typename TOut>
dequantize(uint8_t val,const UniformQuantizationInfo qinfo,DataType dt)51 TOut dequantize(uint8_t val, const UniformQuantizationInfo qinfo, DataType dt)
52 {
53     ARM_COMPUTE_UNUSED(dt);
54     return static_cast<TOut>(dequantize_qasymm8(val, qinfo));
55 }
56 template <typename TOut>
dequantize(int16_t val,const UniformQuantizationInfo qinfo,DataType dt)57 TOut dequantize(int16_t val, const UniformQuantizationInfo qinfo, DataType dt)
58 {
59     ARM_COMPUTE_UNUSED(dt);
60     return static_cast<TOut>(dequantize_qsymm16(val, qinfo));
61 }
62 } // namespace
63 template <typename TOut, typename TIn>
dequantization_layer(const SimpleTensor<TIn> & src)64 SimpleTensor<TOut> dequantization_layer(const SimpleTensor<TIn> &src)
65 {
66     const DataType src_data_type = src.data_type();
67     const DataType dst_data_type = std::is_same<TOut, float>::value ? DataType::F32 : DataType::F16;
68 
69     SimpleTensor<TOut> dst{ src.shape(), dst_data_type };
70 
71     if(is_data_type_quantized_per_channel(src_data_type))
72     {
73         const int WH = src.shape().x() * src.shape().y();
74         const int C  = src.shape().z();
75         const int N  = src.shape().total_size() / (WH * C);
76 
77         const std::vector<float> qscales = src.quantization_info().scale();
78 #if defined(_OPENMP)
79         #pragma omp parallel for collapse(2)
80 #endif /* _OPENMP */
81         for(int n = 0; n < N; ++n)
82         {
83             for(int c = 0; c < C; ++c)
84             {
85                 const size_t                  idx           = n * C * WH + c * WH;
86                 const UniformQuantizationInfo channel_qinfo = { qscales[c], 0 };
87 
88                 // Dequantize slice
89                 for(int s = 0; s < WH; ++s)
90                 {
91                     dst[idx + s] = dequantize<TOut>(static_cast<TIn>(src[idx + s]), channel_qinfo, src_data_type);
92                 }
93             }
94         }
95     }
96     else
97     {
98         const UniformQuantizationInfo &quantization_info = src.quantization_info().uniform();
99         ARM_COMPUTE_ERROR_ON(quantization_info.offset != 0 && src_data_type == DataType::QSYMM8);
100 #if defined(_OPENMP)
101         #pragma omp parallel for
102 #endif /* _OPENMP */
103         for(int i = 0; i < src.num_elements(); ++i)
104         {
105             dst[i] = static_cast<TOut>(dequantize<TOut>(static_cast<TIn>(src[i]), quantization_info, src_data_type));
106         }
107     }
108 
109     return dst;
110 }
111 
112 template SimpleTensor<half> dequantization_layer(const SimpleTensor<uint8_t> &src);
113 template SimpleTensor<float> dequantization_layer(const SimpleTensor<uint8_t> &src);
114 template SimpleTensor<half> dequantization_layer(const SimpleTensor<int8_t> &src);
115 template SimpleTensor<float> dequantization_layer(const SimpleTensor<int8_t> &src);
116 template SimpleTensor<half> dequantization_layer(const SimpleTensor<int16_t> &src);
117 template SimpleTensor<float> dequantization_layer(const SimpleTensor<int16_t> &src);
118 } // namespace reference
119 } // namespace validation
120 } // namespace test
121 } // namespace arm_compute
122