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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_MIN_MAX_LOCATION_FIXTURE
25 #define ARM_COMPUTE_TEST_MIN_MAX_LOCATION_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/Types.h"
32 #include "tests/framework/Asserts.h"
33 #include "tests/framework/Fixture.h"
34 #include "tests/validation/reference/MinMaxLocation.h"
35 
36 namespace arm_compute
37 {
38 namespace test
39 {
40 namespace validation
41 {
42 template <typename TensorType, typename AccessorType, typename ArrayType, typename ArrayAccessorType, typename FunctionType, typename T>
43 class MinMaxLocationValidationFixture : public framework::Fixture
44 {
45 public:
46     using target_type = typename std::conditional<std::is_integral<T>::value, int32_t, float>::type;
47 
48     template <typename...>
setup(TensorShape shape,DataType data_type)49     void setup(TensorShape shape, DataType data_type)
50     {
51         _target    = compute_target(shape, data_type);
52         _reference = compute_reference(shape, data_type);
53     }
54 
55 protected:
56     template <typename U>
fill(U && tensor)57     void fill(U &&tensor)
58     {
59         library->fill_tensor_uniform(tensor, 0);
60     }
61 
compute_target(const TensorShape & shape,DataType data_type)62     MinMaxLocationValues<target_type> compute_target(const TensorShape &shape, DataType data_type)
63     {
64         MinMaxLocationValues<target_type> target;
65 
66         ArrayType min_loc(shape.total_size());
67         ArrayType max_loc(shape.total_size());
68 
69         // Create tensors
70         TensorType src = create_tensor<TensorType>(shape, data_type);
71 
72         // Create and configure function
73         FunctionType min_max_loc;
74         min_max_loc.configure(&src, &target.min, &target.max, &min_loc, &max_loc);
75 
76         // Allocate tensors
77         src.allocator()->allocate();
78         ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
79 
80         // Fill tensors
81         fill(AccessorType(src));
82 
83         // Compute function
84         min_max_loc.run();
85 
86         // Create accessor objects for mapping operations
87         ArrayAccessorType min_loc_accessor(min_loc);
88         ArrayAccessorType max_loc_accessor(max_loc);
89 
90         // Move min Coordinates2D values from ArrayType to vector
91         for(size_t i = 0; i < min_loc.num_values(); ++i)
92         {
93             target.min_loc.push_back(std::move(min_loc_accessor.at(i)));
94         }
95 
96         // Move max Coordinates2D values from ArrayType to vector
97         for(size_t i = 0; i < max_loc.num_values(); ++i)
98         {
99             target.max_loc.push_back(std::move(max_loc_accessor.at(i)));
100         }
101 
102         return target;
103     }
104 
compute_reference(const TensorShape & shape,DataType data_type)105     MinMaxLocationValues<T> compute_reference(const TensorShape &shape, DataType data_type)
106     {
107         // Create reference
108         SimpleTensor<T> src{ shape, data_type };
109 
110         // Fill reference
111         fill(src);
112 
113         return reference::min_max_location<T>(src);
114     }
115 
116     MinMaxLocationValues<target_type> _target{};
117     MinMaxLocationValues<T>           _reference{};
118 };
119 } // namespace validation
120 } // namespace test
121 } // namespace arm_compute
122 #endif /* ARM_COMPUTE_TEST_MIN_MAX_LOCATION_FIXTURE */
123