xref: /aosp_15_r20/external/ComputeLibrary/tests/validation/fixtures/NormalizationLayerFixture.h (revision c217d954acce2dbc11938adb493fc0abd69584f3)
1 /*
2  * Copyright (c) 2017-2021 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
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_NORMALIZATION_LAYER_FIXTURE
25 #define ARM_COMPUTE_TEST_NORMALIZATION_LAYER_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/NormalizationLayer.h"
36 
37 #include <random>
38 
39 namespace arm_compute
40 {
41 namespace test
42 {
43 namespace validation
44 {
45 template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
46 class NormalizationValidationGenericFixture : public framework::Fixture
47 {
48 public:
49     template <typename...>
setup(TensorShape shape,NormType norm_type,int norm_size,float beta,bool is_scaled,DataType data_type,DataLayout data_layout)50     void setup(TensorShape shape, NormType norm_type, int norm_size, float beta, bool is_scaled, DataType data_type, DataLayout data_layout)
51     {
52         NormalizationLayerInfo info(norm_type, norm_size, 5, beta, 1.f, is_scaled);
53 
54         _target    = compute_target(shape, info, data_type, data_layout);
55         _reference = compute_reference(shape, info, data_type);
56     }
57 
58 protected:
59     template <typename U>
fill(U && tensor)60     void fill(U &&tensor)
61     {
62         static_assert(std::is_floating_point<T>::value || std::is_same<T, half>::value, "Only floating point data types supported.");
63         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;
64 
65         DistributionType distribution{ T(-1.0f), T(1.0f) };
66         library->fill(tensor, distribution, 0);
67     }
68 
compute_target(TensorShape shape,NormalizationLayerInfo info,DataType data_type,DataLayout data_layout)69     TensorType compute_target(TensorShape shape, NormalizationLayerInfo info, DataType data_type, DataLayout data_layout)
70     {
71         if(data_layout == DataLayout::NHWC)
72         {
73             permute(shape, PermutationVector(2U, 0U, 1U));
74         }
75 
76         // Create tensors
77         TensorType src = create_tensor<TensorType>(shape, data_type, 1, QuantizationInfo(), data_layout);
78         TensorType dst = create_tensor<TensorType>(shape, data_type, 1, QuantizationInfo(), data_layout);
79 
80         // Create and configure function
81         FunctionType norm_layer;
82         norm_layer.configure(&src, &dst, info);
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         dst.allocator()->allocate();
90 
91         ARM_COMPUTE_ASSERT(!src.info()->is_resizable());
92         ARM_COMPUTE_ASSERT(!dst.info()->is_resizable());
93 
94         // Fill tensors
95         fill(AccessorType(src));
96 
97         // Compute function
98         norm_layer.run();
99 
100         return dst;
101     }
102 
compute_reference(const TensorShape & shape,NormalizationLayerInfo info,DataType data_type)103     SimpleTensor<T> compute_reference(const TensorShape &shape, NormalizationLayerInfo info, DataType data_type)
104     {
105         // Create reference
106         SimpleTensor<T> src{ shape, data_type, 1 };
107 
108         // Fill reference
109         fill(src);
110 
111         return reference::normalization_layer<T>(src, info);
112     }
113 
114     TensorType      _target{};
115     SimpleTensor<T> _reference{};
116 };
117 
118 template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
119 class NormalizationValidationFixture : public NormalizationValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
120 {
121 public:
122     template <typename...>
setup(TensorShape shape,NormType norm_type,int norm_size,float beta,bool is_scaled,DataType data_type,DataLayout data_layout)123     void setup(TensorShape shape, NormType norm_type, int norm_size, float beta, bool is_scaled, DataType data_type, DataLayout data_layout)
124     {
125         NormalizationValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, norm_type, norm_size, beta, is_scaled, data_type, data_layout);
126     }
127 };
128 } // namespace validation
129 } // namespace test
130 } // namespace arm_compute
131 #endif /* ARM_COMPUTE_TEST_NORMALIZATION_LAYER_FIXTURE */
132