xref: /aosp_15_r20/external/ComputeLibrary/tests/validation/fixtures/CopyFixture.h (revision c217d954acce2dbc11938adb493fc0abd69584f3)
1 /*
2  * Copyright (c) 2018-2021 Arm Limited.
3  *
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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12  *
13  * The above copyright notice and this permission notice shall be included in all
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24 #ifndef ARM_COMPUTE_TEST_COPY_FIXTURE
25 #define ARM_COMPUTE_TEST_COPY_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/Copy.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 CopyFixture : public framework::Fixture
44 {
45 public:
46     template <typename...>
setup(TensorShape input_shape,TensorShape output_shape,DataType data_type)47     void setup(TensorShape input_shape, TensorShape output_shape, DataType data_type)
48     {
49         _target    = compute_target(input_shape, output_shape, data_type);
50         _reference = compute_reference(input_shape, output_shape, data_type);
51     }
52 
53 protected:
54     template <typename U>
fill(U && tensor,int i)55     void fill(U &&tensor, int i)
56     {
57         // This kernel doesn't benefit from using random seed as it just copies values.
58         fixed_library->fill_tensor_uniform(tensor, i);
59     }
60 
compute_target(const TensorShape & input_shape,const TensorShape & output_shape,DataType data_type)61     TensorType compute_target(const TensorShape &input_shape, const TensorShape &output_shape, DataType data_type)
62     {
63         // Check if indeed the input shape can be reshape to the output one
64         ARM_COMPUTE_ASSERT(input_shape.total_size() == output_shape.total_size());
65 
66         // Create tensors
67         TensorType src = create_tensor<TensorType>(input_shape, data_type);
68         TensorType dst = create_tensor<TensorType>(output_shape, data_type);
69 
70         // Create and configure function
71         FunctionType copy;
72 
73         copy.configure(&src, &dst);
74 
75         ARM_COMPUTE_ASSERT(src.info()->is_resizable());
76         ARM_COMPUTE_ASSERT(dst.info()->is_resizable());
77 
78         // Allocate tensors
79         src.allocator()->allocate();
80         dst.allocator()->allocate();
81 
82         ARM_COMPUTE_ASSERT(!src.info()->is_resizable());
83         ARM_COMPUTE_ASSERT(!dst.info()->is_resizable());
84 
85         // Fill tensors
86         fill(AccessorType(src), 0);
87 
88         // Compute function
89         copy.run();
90 
91         return dst;
92     }
93 
compute_reference(const TensorShape & input_shape,const TensorShape & output_shape,DataType data_type)94     SimpleTensor<T> compute_reference(const TensorShape &input_shape, const TensorShape &output_shape, DataType data_type)
95     {
96         // Create reference
97         SimpleTensor<T> src{ input_shape, data_type };
98 
99         // Fill reference
100         fill(src, 0);
101 
102         return reference::copy<T>(src, output_shape);
103     }
104 
105     TensorType      _target{};
106     SimpleTensor<T> _reference{};
107 };
108 } // namespace validation
109 } // namespace test
110 } // namespace arm_compute
111 #endif /* ARM_COMPUTE_TEST_COPY_FIXTURE */
112