1 /*
2  * Copyright (c) 2018-2022 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,
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20  * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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22  * SOFTWARE.
23  */
24 #ifndef ARM_COMPUTE_TEST_CONVERT_FULLY_CONNECTED_WEIGHTS_FIXTURE
25 #define ARM_COMPUTE_TEST_CONVERT_FULLY_CONNECTED_WEIGHTS_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/reference/ConvertFullyConnectedWeights.h"
35 
36 namespace arm_compute
37 {
38 namespace test
39 {
40 namespace validation
41 {
42 template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
43 class ConvertFullyConnectedWeightsValidationFixture : public framework::Fixture
44 {
45 public:
46     template <typename...>
setup(TensorShape input_shape,unsigned int weights_w,DataLayout training_data_layout,DataType data_type)47     void setup(TensorShape input_shape, unsigned int weights_w, DataLayout training_data_layout, DataType data_type)
48     {
49         const unsigned int height = input_shape.x() * input_shape.y() * input_shape.z();
50         const TensorShape  weights_shape(weights_w, height);
51 
52         _target    = compute_target(input_shape, weights_shape, training_data_layout, data_type);
53         _reference = compute_reference(input_shape, weights_shape, training_data_layout, data_type);
54     }
55 
56 protected:
57     template <typename U>
fill(U && tensor,int i)58     void fill(U &&tensor, int i)
59     {
60         switch(tensor.data_type())
61         {
62             case DataType::QASYMM8:
63             {
64                 std::uniform_int_distribution<uint32_t> distribution(0, 10);
65                 library->fill(tensor, distribution, i);
66                 break;
67             }
68             case DataType::F16:
69             {
70                 arm_compute::utils::uniform_real_distribution_16bit<half> distribution{ -1.0f, 1.0f };
71                 library->fill(tensor, distribution, i);
72                 break;
73             }
74             case DataType::F32:
75             {
76                 std::uniform_real_distribution<float> distribution(-1.0f, 1.0f);
77                 library->fill(tensor, distribution, i);
78                 break;
79             }
80             default:
81                 library->fill_tensor_uniform(tensor, i);
82         }
83     }
84 
compute_target(const TensorShape & input_shape,const TensorShape & weights_shape,const DataLayout training_data_layout,const DataType data_type)85     TensorType compute_target(const TensorShape &input_shape, const TensorShape &weights_shape, const DataLayout training_data_layout, const DataType data_type)
86     {
87         // Create tensors
88         TensorType src = create_tensor<TensorType>(weights_shape, data_type);
89         TensorType dst = create_tensor<TensorType>(weights_shape, data_type);
90 
91         // Create and configure function
92         FunctionType convert_weights;
93 
94         convert_weights.configure(&src, &dst, input_shape, training_data_layout);
95 
96         ARM_COMPUTE_ASSERT(src.info()->is_resizable());
97         ARM_COMPUTE_ASSERT(dst.info()->is_resizable());
98 
99         // Allocate tensors
100         src.allocator()->allocate();
101         dst.allocator()->allocate();
102 
103         ARM_COMPUTE_ASSERT(!src.info()->is_resizable());
104         ARM_COMPUTE_ASSERT(!dst.info()->is_resizable());
105 
106         // Fill tensors
107         fill(AccessorType(src), 0);
108 
109         // Compute function
110         convert_weights.run();
111 
112         return dst;
113     }
114 
compute_reference(const TensorShape & input_shape,const TensorShape & weights_shape,const DataLayout training_data_layout,const DataType data_type)115     SimpleTensor<T> compute_reference(const TensorShape &input_shape, const TensorShape &weights_shape, const DataLayout training_data_layout, const DataType data_type)
116     {
117         // Create reference
118         SimpleTensor<T> src{ weights_shape, data_type };
119 
120         // Fill reference
121         fill(src, 0);
122 
123         return reference::convert_fully_connected_weights(src, input_shape, training_data_layout);
124     }
125 
126     TensorType      _target{};
127     SimpleTensor<T> _reference{};
128 };
129 } // namespace validation
130 } // namespace test
131 } // namespace arm_compute
132 #endif /* ARM_COMPUTE_TEST_CONVERT_FULLY_CONNECTED_WEIGHTS_FIXTURE */
133