xref: /aosp_15_r20/external/ComputeLibrary/tests/validation/fixtures/GEMMInterleave4x4Fixture.h (revision c217d954acce2dbc11938adb493fc0abd69584f3)
1 /*
2  * Copyright (c) 2017-2021 Arm Limited.
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4  * SPDX-License-Identifier: MIT
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10  * sell copies of the Software, and to permit persons to whom the Software is
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13  * The above copyright notice and this permission notice shall be included in all
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16  * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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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             {
67                 arm_compute::utils::uniform_real_distribution_16bit<half> distribution{ -1.0f, 1.0f };
68                 library->fill(tensor, distribution, i);
69                 break;
70             }
71             case DataType::F32:
72             {
73                 std::uniform_real_distribution<float> distribution(-1.0f, 1.0f);
74                 library->fill(tensor, distribution, i);
75                 break;
76             }
77             default:
78                 library->fill_tensor_uniform(tensor, i);
79                 break;
80         }
81     }
82 
compute_target(const TensorShape & shape_a,const TensorShape & shape_b,DataType data_type)83     TensorType compute_target(const TensorShape &shape_a, const TensorShape &shape_b, DataType data_type)
84     {
85         // Create tensors
86         TensorType a = create_tensor<TensorType>(shape_a, data_type, 1);
87         TensorType b = create_tensor<TensorType>(shape_b, data_type, 1);
88 
89         // Create and configure function
90         FunctionType f;
91         f.configure(a.info(), b.info());
92 
93         ARM_COMPUTE_ASSERT(a.info()->is_resizable());
94         ARM_COMPUTE_ASSERT(b.info()->is_resizable());
95 
96         // Allocate tensors
97         a.allocator()->allocate();
98         b.allocator()->allocate();
99 
100         ARM_COMPUTE_ASSERT(!a.info()->is_resizable());
101         ARM_COMPUTE_ASSERT(!b.info()->is_resizable());
102 
103         // Fill tensors
104         fill(AccessorType(a), 0);
105         fill(AccessorType(b), 0);
106 
107         // Compute GEMM interleave kernel
108         ITensorPack tensors{ { ACL_SRC, &a }, { ACL_DST, &b } };
109         f.run(tensors);
110         return b;
111     }
112 
compute_reference(const TensorShape & shape_a,const TensorShape & shape_b,DataType data_type)113     SimpleTensor<T> compute_reference(const TensorShape &shape_a, const TensorShape &shape_b, DataType data_type)
114     {
115         // Create reference
116         SimpleTensor<T> a{ shape_a, data_type, 1 };
117         SimpleTensor<T> b{ shape_b, data_type, 1 };
118 
119         // Fill reference
120         fill(a, 0);
121         fill(b, 0);
122 
123         return reference::gemm_interleave_4x4<T>(a, b);
124     }
125 
126     TensorType      _target{};
127     SimpleTensor<T> _reference{};
128     DataType        _data_type{};
129 };
130 } // namespace validation
131 } // namespace test
132 } // namespace arm_compute
133 #endif /* ARM_COMPUTE_TEST_GEMM_INTERLEAVE_4X4_FIXTURE */
134