1 /*
2  * Copyright (c) 2019-2021 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
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22  * SOFTWARE.
23  */
24 #ifndef ARM_COMPUTE_TEST_INSTANCENORMALIZATION_FIXTURE
25 #define ARM_COMPUTE_TEST_INSTANCENORMALIZATION_FIXTURE
26 
27 #include "arm_compute/core/TensorShape.h"
28 #include "arm_compute/core/Types.h"
29 #include "arm_compute/runtime/Tensor.h"
30 #include "tests/AssetsLibrary.h"
31 #include "tests/Globals.h"
32 #include "tests/IAccessor.h"
33 #include "tests/framework/Asserts.h"
34 #include "tests/framework/Fixture.h"
35 #include "tests/validation/reference/InstanceNormalizationLayer.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 InstanceNormalizationLayerValidationFixture : public framework::Fixture
45 {
46 public:
47     template <typename...>
setup(TensorShape shape,DataType data_type,DataLayout data_layout,bool in_place)48     void setup(TensorShape shape, DataType data_type, DataLayout data_layout, bool in_place)
49     {
50         _target    = compute_target(shape, data_type, data_layout, in_place);
51         _reference = compute_reference(shape, data_type);
52     }
53 
54 protected:
55     template <typename U>
fill(U && tensor)56     void fill(U &&tensor)
57     {
58         static_assert(std::is_floating_point<T>::value || std::is_same<T, half>::value, "Only floating point data types supported.");
59         using DistributionType = typename std::conditional<std::is_same<T, half>::value, arm_compute::utils::uniform_real_distribution_16bit<T>, std::uniform_real_distribution<T>>::type;
60 
61         DistributionType distribution{ T(1.0f), T(2.0f) };
62         library->fill(tensor, distribution, 0);
63     }
64 
compute_target(TensorShape shape,DataType data_type,DataLayout data_layout,bool in_place)65     TensorType compute_target(TensorShape shape, DataType data_type, DataLayout data_layout, bool in_place)
66     {
67         if(data_layout == DataLayout::NHWC)
68         {
69             permute(shape, PermutationVector(2U, 0U, 1U));
70         }
71 
72         std::mt19937                          gen(library->seed());
73         std::uniform_real_distribution<float> dist_gamma(1.f, 2.f);
74         std::uniform_real_distribution<float> dist_beta(-2.f, 2.f);
75         std::uniform_real_distribution<float> dist_epsilon(1e-16f, 1e-12f);
76 
77         const float gamma   = dist_gamma(gen);
78         const float beta    = dist_beta(gen);
79         const float epsilon = dist_epsilon(gen);
80 
81         // Create tensors
82         TensorType src = create_tensor<TensorType>(shape, data_type, 1, QuantizationInfo(), data_layout);
83         TensorType dst = create_tensor<TensorType>(shape, data_type, 1, QuantizationInfo(), data_layout);
84 
85         // Create and configure function
86         FunctionType instance_norm_func;
87         instance_norm_func.configure(&src, in_place ? nullptr : &dst, gamma, beta, epsilon);
88 
89         ARM_COMPUTE_ASSERT(src.info()->is_resizable());
90         if(!in_place)
91         {
92             ARM_COMPUTE_ASSERT(dst.info()->is_resizable());
93         }
94 
95         // Allocate tensors
96         src.allocator()->allocate();
97         if(!in_place)
98         {
99             dst.allocator()->allocate();
100         }
101 
102         ARM_COMPUTE_ASSERT(!src.info()->is_resizable());
103         if(!in_place)
104         {
105             ARM_COMPUTE_ASSERT(!dst.info()->is_resizable());
106         }
107 
108         // Fill tensors
109         fill(AccessorType(src));
110 
111         // Compute function
112         instance_norm_func.run();
113 
114         if(in_place)
115         {
116             return src;
117         }
118         else
119         {
120             return dst;
121         }
122     }
123 
compute_reference(const TensorShape & shape,DataType data_type)124     SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type)
125     {
126         std::mt19937                          gen(library->seed());
127         std::uniform_real_distribution<float> dist_gamma(1.f, 2.f);
128         std::uniform_real_distribution<float> dist_beta(-2.f, 2.f);
129         std::uniform_real_distribution<float> dist_epsilon(1e-16f, 1e-12f);
130 
131         const float gamma   = dist_gamma(gen);
132         const float beta    = dist_beta(gen);
133         const float epsilon = dist_epsilon(gen);
134 
135         // Create reference
136         SimpleTensor<T> src{ shape, data_type };
137 
138         // Fill reference
139         fill(src);
140 
141         return reference::instance_normalization<T>(src, gamma, beta, epsilon);
142     }
143 
144     TensorType      _target{};
145     SimpleTensor<T> _reference{};
146 };
147 } // namespace validation
148 } // namespace test
149 } // namespace arm_compute
150 #endif /* ARM_COMPUTE_TEST_INSTANCENORMALIZATION_FIXTURE */
151