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1 /*
2  * Copyright (c) 2017-2018 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_GEMM_INTERLEAVE_4X4_FIXTURE
25 #define ARM_COMPUTE_TEST_GEMM_INTERLEAVE_4X4_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/GEMMInterleave4x4.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 GEMMInterleave4x4ValidationFixture : public framework::Fixture
47 {
48 public:
49     template <typename...>
setup(size_t x,size_t y,DataType data_type)50     void setup(size_t x, size_t y, DataType data_type)
51     {
52         _data_type = data_type;
53         const TensorShape shape_a(x, y);
54         const TensorShape shape_b(static_cast<size_t>(x * 4.f), static_cast<size_t>(std::ceil(y / 4.f)));
55         _target    = compute_target(shape_a, shape_b, data_type);
56         _reference = compute_reference(shape_a, shape_b, data_type);
57     }
58 
59 protected:
60     template <typename U>
fill(U && tensor,int i)61     void fill(U &&tensor, int i)
62     {
63         switch(tensor.data_type())
64         {
65             case DataType::F16:
66             case DataType::F32:
67             {
68                 std::uniform_real_distribution<> distribution(-1.f, 1.f);
69                 library->fill(tensor, distribution, i);
70                 break;
71             }
72             default:
73                 library->fill_tensor_uniform(tensor, i);
74                 break;
75         }
76     }
77 
compute_target(const TensorShape & shape_a,const TensorShape & shape_b,DataType data_type)78     TensorType compute_target(const TensorShape &shape_a, const TensorShape &shape_b, DataType data_type)
79     {
80         // Create tensors
81         TensorType a = create_tensor<TensorType>(shape_a, data_type, 1);
82         TensorType b = create_tensor<TensorType>(shape_b, data_type, 1);
83 
84         // Create and configure function
85         FunctionType f;
86         f.configure(&a, &b);
87 
88         ARM_COMPUTE_EXPECT(a.info()->is_resizable(), framework::LogLevel::ERRORS);
89         ARM_COMPUTE_EXPECT(b.info()->is_resizable(), framework::LogLevel::ERRORS);
90 
91         // Allocate tensors
92         a.allocator()->allocate();
93         b.allocator()->allocate();
94 
95         ARM_COMPUTE_EXPECT(!a.info()->is_resizable(), framework::LogLevel::ERRORS);
96         ARM_COMPUTE_EXPECT(!b.info()->is_resizable(), framework::LogLevel::ERRORS);
97 
98         // Fill tensors
99         fill(AccessorType(a), 0);
100         fill(AccessorType(b), 0);
101 
102         // Compute GEMM function
103         f.run();
104         return b;
105     }
106 
compute_reference(const TensorShape & shape_a,const TensorShape & shape_b,DataType data_type)107     SimpleTensor<T> compute_reference(const TensorShape &shape_a, const TensorShape &shape_b, DataType data_type)
108     {
109         // Create reference
110         SimpleTensor<T> a{ shape_a, data_type, 1 };
111         SimpleTensor<T> b{ shape_b, data_type, 1 };
112 
113         // Fill reference
114         fill(a, 0);
115         fill(b, 0);
116 
117         return reference::gemm_interleave_4x4<T>(a, b);
118     }
119 
120     TensorType      _target{};
121     SimpleTensor<T> _reference{};
122     DataType        _data_type{};
123 };
124 } // namespace validation
125 } // namespace test
126 } // namespace arm_compute
127 #endif /* ARM_COMPUTE_TEST_GEMM_INTERLEAVE_4X4_FIXTURE */
128