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1 /*
2  * Copyright (c) 2017-2019 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_GEMM_TRANSPOSE_1XW_FIXTURE
25 #define ARM_COMPUTE_TEST_GEMM_TRANSPOSE_1XW_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/GEMMTranspose1xW.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 GEMMTranspose1xWValidationFixture : 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 unsigned int transpose_w = 16 / data_size_from_type(data_type);
55         const TensorShape  shape_b(static_cast<size_t>(y * transpose_w), static_cast<size_t>(std::ceil(x / static_cast<float>(transpose_w))));
56         _target    = compute_target(shape_a, shape_b, data_type);
57         _reference = compute_reference(shape_a, data_type);
58     }
59 
60 protected:
61     template <typename U>
fill(U && tensor,int i)62     void fill(U &&tensor, int i)
63     {
64         switch(tensor.data_type())
65         {
66             case DataType::F16:
67             case DataType::F32:
68             {
69                 std::uniform_real_distribution<> distribution(-1.f, 1.f);
70                 library->fill(tensor, distribution, i);
71                 break;
72             }
73             default:
74                 library->fill_tensor_uniform(tensor, i);
75                 break;
76         }
77     }
78 
compute_target(const TensorShape & shape_a,const TensorShape & shape_b,DataType data_type)79     TensorType compute_target(const TensorShape &shape_a, const TensorShape &shape_b, DataType data_type)
80     {
81         // Create tensors
82         TensorType a = create_tensor<TensorType>(shape_a, data_type, 1);
83         TensorType b = create_tensor<TensorType>(shape_b, data_type, 1);
84 
85         // Create and configure function
86         FunctionType f;
87         f.configure(&a, &b);
88 
89         ARM_COMPUTE_EXPECT(a.info()->is_resizable(), framework::LogLevel::ERRORS);
90         ARM_COMPUTE_EXPECT(b.info()->is_resizable(), framework::LogLevel::ERRORS);
91 
92         // Allocate tensors
93         a.allocator()->allocate();
94         b.allocator()->allocate();
95 
96         ARM_COMPUTE_EXPECT(!a.info()->is_resizable(), framework::LogLevel::ERRORS);
97         ARM_COMPUTE_EXPECT(!b.info()->is_resizable(), framework::LogLevel::ERRORS);
98 
99         // Fill tensors
100         fill(AccessorType(a), 0);
101         fill(AccessorType(b), 1);
102 
103         // Compute GEMM function
104         f.run();
105 
106         return b;
107     }
108 
compute_reference(const TensorShape & shape_a,DataType data_type)109     SimpleTensor<T> compute_reference(const TensorShape &shape_a, DataType data_type)
110     {
111         // Create reference
112         SimpleTensor<T> a{ shape_a, data_type, 1 };
113 
114         // Fill reference
115         fill(a, 0);
116 
117         return reference::gemm_transpose_1xW<T>(a);
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_TRANSPOSE_1XW_FIXTURE */
128