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1 /*
2  * Copyright (c) 2019 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-8f)
49     {
50         _data_type = dt;
51         _target    = compute_target(shape, dt, in_place, epsilon);
52         _reference = compute_reference(shape, dt, epsilon);
53     }
54 
55 protected:
56     template <typename U>
fill(U && src_tensor)57     void fill(U &&src_tensor)
58     {
59         const float                      min_bound = -1.f;
60         const float                      max_bound = 1.f;
61         std::uniform_real_distribution<> distribution(min_bound, max_bound);
62         library->fill(src_tensor, distribution, 0);
63     }
64 
compute_target(TensorShape shape,DataType dt,bool in_place,float epsilon)65     TensorType compute_target(TensorShape shape, DataType dt, bool in_place, float epsilon)
66     {
67         // Create tensors
68         TensorType src = create_tensor<TensorType>(shape, dt, 1);
69         TensorType dst;
70 
71         TensorType *dst_ptr = in_place ? &src : &dst;
72 
73         // Create and configure function
74         FunctionType norm;
75         norm.configure(&src, dst_ptr, epsilon);
76 
77         ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
78         ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
79 
80         // Allocate tensors
81         src.allocator()->allocate();
82         ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
83 
84         if(!in_place)
85         {
86             dst.allocator()->allocate();
87             ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
88         }
89 
90         // Fill tensors
91         fill(AccessorType(src));
92 
93         // Compute function
94         norm.run();
95 
96         if(in_place)
97         {
98             return src;
99         }
100         else
101         {
102             return dst;
103         }
104     }
105 
compute_reference(const TensorShape & shape,DataType dt,float epsilon)106     SimpleTensor<T> compute_reference(const TensorShape &shape, DataType dt, float epsilon)
107     {
108         // Create reference
109         SimpleTensor<T> ref_src{ shape, dt, 1 };
110 
111         // Fill reference
112         fill(ref_src);
113 
114         return reference::mean_std_normalization_layer(ref_src, epsilon);
115     }
116 
117     TensorType      _target{};
118     SimpleTensor<T> _reference{};
119     DataType        _data_type{};
120 };
121 } // namespace validation
122 } // namespace test
123 } // namespace arm_compute
124 #endif /* ARM_COMPUTE_TEST_MEAN_STDDEV_NORMALIZATION_LAYER_FIXTURE */
125