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1 /*
2  * Copyright (c) 2017 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_GAUSSIAN_PYRAMID_HALF_FIXTURE
25 #define ARM_COMPUTE_TEST_GAUSSIAN_PYRAMID_HALF_FIXTURE
26 
27 #include "arm_compute/core/IPyramid.h"
28 #include "arm_compute/core/PyramidInfo.h"
29 #include "arm_compute/core/TensorShape.h"
30 #include "arm_compute/core/Types.h"
31 #include "tests/AssetsLibrary.h"
32 #include "tests/Globals.h"
33 #include "tests/IAccessor.h"
34 #include "tests/framework/Asserts.h"
35 #include "tests/framework/Fixture.h"
36 #include "tests/validation/reference/GaussianPyramidHalf.h"
37 
38 namespace arm_compute
39 {
40 namespace test
41 {
42 namespace validation
43 {
44 template <typename TensorType, typename AccessorType, typename FunctionType, typename T, typename PyramidType>
45 class GaussianPyramidHalfValidationFixture : public framework::Fixture
46 {
47 public:
48     template <typename...>
setup(TensorShape shape,BorderMode border_mode,size_t num_levels)49     void setup(TensorShape shape, BorderMode border_mode, size_t num_levels)
50     {
51         std::mt19937                           gen(library->seed());
52         std::uniform_int_distribution<uint8_t> distribution(0, 255);
53         const uint8_t                          constant_border_value = distribution(gen);
54 
55         _border_mode = border_mode;
56 
57         // Compute target and reference
58         compute_target(shape, border_mode, constant_border_value, num_levels);
59         compute_reference(shape, border_mode, constant_border_value, num_levels);
60     }
61 
62 protected:
63     template <typename U>
fill(U && tensor)64     void fill(U &&tensor)
65     {
66         library->fill_tensor_uniform(tensor, 0);
67     }
68 
compute_target(const TensorShape & shape,BorderMode border_mode,uint8_t constant_border_value,size_t num_levels)69     void compute_target(const TensorShape &shape, BorderMode border_mode, uint8_t constant_border_value, size_t num_levels)
70     {
71         // Create tensors
72         TensorType src = create_tensor<TensorType>(shape, DataType::U8);
73 
74         PyramidInfo pyramid_info(num_levels, SCALE_PYRAMID_HALF, shape, Format::U8);
75         _target.init(pyramid_info);
76 
77         // Create and configure function
78         FunctionType gaussian_pyramid;
79 
80         gaussian_pyramid.configure(&src, &_target, border_mode, constant_border_value);
81 
82         ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
83         for(size_t i = 0; i < pyramid_info.num_levels(); ++i)
84         {
85             ARM_COMPUTE_EXPECT(_target.get_pyramid_level(i)->info()->is_resizable(), framework::LogLevel::ERRORS);
86         }
87 
88         // Allocate input tensor
89         src.allocator()->allocate();
90 
91         // Allocate pyramid
92         _target.allocate();
93 
94         ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
95         for(size_t i = 0; i < pyramid_info.num_levels(); ++i)
96         {
97             ARM_COMPUTE_EXPECT(!_target.get_pyramid_level(i)->info()->is_resizable(), framework::LogLevel::ERRORS);
98         }
99 
100         // Fill tensors
101         fill(AccessorType(src));
102 
103         // Compute function
104         gaussian_pyramid.run();
105     }
106 
compute_reference(const TensorShape & shape,BorderMode border_mode,uint8_t constant_border_value,size_t num_levels)107     void compute_reference(const TensorShape &shape, BorderMode border_mode, uint8_t constant_border_value, size_t num_levels)
108     {
109         // Create reference
110         SimpleTensor<T> src{ shape, DataType::U8 };
111 
112         // Fill reference
113         fill(src);
114 
115         _reference = reference::gaussian_pyramid_half<T>(src, border_mode, constant_border_value, num_levels);
116     }
117 
118     PyramidType                  _target{};
119     std::vector<SimpleTensor<T>> _reference{};
120     BorderMode                   _border_mode{};
121 };
122 } // namespace validation
123 } // namespace test
124 } // namespace arm_compute
125 #endif /* ARM_COMPUTE_TEST_GAUSSIAN_PYRAMID_HALF_FIXTURE */