1 /*
2  * Copyright (c) 2019-2022 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 #ifndef ARM_COMPUTE_TEST_MEAN_STDDEV_NORMALIZATION_LAYER_FIXTURE
25 #define ARM_COMPUTE_TEST_MEAN_STDDEV_NORMALIZATION_LAYER_FIXTURE
26 
27 #include "arm_compute/core/TensorShape.h"
28 #include "arm_compute/core/Types.h"
29 #include "tests/AssetsLibrary.h"
30 #include "tests/Globals.h"
31 #include "tests/IAccessor.h"
32 #include "tests/framework/Asserts.h"
33 #include "tests/framework/Fixture.h"
34 #include "tests/validation/Helpers.h"
35 #include "tests/validation/reference/MeanStdDevNormalizationLayer.h"
36 
37 namespace arm_compute
38 {
39 namespace test
40 {
41 namespace validation
42 {
43 template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
44 class MeanStdDevNormalizationLayerValidationFixture : public framework::Fixture
45 {
46 public:
47     template <typename...>
48     void setup(TensorShape shape, DataType dt, bool in_place, float epsilon = 1e-8)
49     {
50         QuantizationInfo qi = QuantizationInfo(0.5f, 10);
51         _data_type          = dt;
52         _target             = compute_target(shape, dt, in_place, epsilon, qi);
53         _reference          = compute_reference(shape, dt, epsilon, qi);
54     }
55 
56 protected:
57     template <typename U>
fill(U && tensor)58     void fill(U &&tensor)
59     {
60         if(is_data_type_float(_data_type))
61         {
62             std::uniform_real_distribution<> distribution{ -1.0f, 1.0f };
63             library->fill(tensor, distribution, 0);
64         }
65         else
66         {
67             std::uniform_int_distribution<> distribution{ 0, 255 };
68             library->fill(tensor, distribution, 0);
69         }
70     }
71 
compute_target(TensorShape shape,DataType dt,bool in_place,float epsilon,QuantizationInfo qi)72     TensorType compute_target(TensorShape shape, DataType dt, bool in_place, float epsilon, QuantizationInfo qi)
73     {
74         // Create tensors
75         TensorType src = create_tensor<TensorType>(shape, dt, 1, qi);
76         TensorType dst = create_tensor<TensorType>(shape, dt, 1, qi);
77 
78         TensorType *dst_ptr = in_place ? &src : &dst;
79 
80         // Create and configure function
81         FunctionType norm;
82         norm.configure(&src, dst_ptr, epsilon);
83 
84         ARM_COMPUTE_ASSERT(src.info()->is_resizable());
85         ARM_COMPUTE_ASSERT(dst.info()->is_resizable());
86 
87         // Allocate tensors
88         src.allocator()->allocate();
89         ARM_COMPUTE_ASSERT(!src.info()->is_resizable());
90 
91         if(!in_place)
92         {
93             dst.allocator()->allocate();
94             ARM_COMPUTE_ASSERT(!dst.info()->is_resizable());
95         }
96 
97         // Fill tensors
98         fill(AccessorType(src));
99 
100         // Compute function
101         norm.run();
102 
103         if(in_place)
104         {
105             return src;
106         }
107         else
108         {
109             return dst;
110         }
111     }
112 
compute_reference(const TensorShape & shape,DataType dt,float epsilon,QuantizationInfo qi)113     SimpleTensor<T> compute_reference(const TensorShape &shape, DataType dt, float epsilon, QuantizationInfo qi)
114     {
115         // Create reference
116         SimpleTensor<T> ref_src{ shape, dt, 1, qi };
117 
118         // Fill reference
119         fill(ref_src);
120 
121         return reference::mean_std_normalization_layer(ref_src, epsilon);
122     }
123 
124     TensorType      _target{};
125     SimpleTensor<T> _reference{};
126     DataType        _data_type{};
127 };
128 
129 } // namespace validation
130 } // namespace test
131 } // namespace arm_compute
132 #endif /* ARM_COMPUTE_TEST_MEAN_STDDEV_NORMALIZATION_LAYER_FIXTURE */
133