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1 /*
2  * Copyright (c) 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_SLICE_OPERATIONS_FIXTURE
25 #define ARM_COMPUTE_TEST_SLICE_OPERATIONS_FIXTURE
26 
27 #include "arm_compute/core/TensorShape.h"
28 #include "arm_compute/core/Types.h"
29 
30 #include "tests/AssetsLibrary.h"
31 #include "tests/Globals.h"
32 #include "tests/IAccessor.h"
33 #include "tests/RawLutAccessor.h"
34 #include "tests/framework/Asserts.h"
35 #include "tests/framework/Fixture.h"
36 #include "tests/validation/Helpers.h"
37 #include "tests/validation/reference/SliceOperations.h"
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 SliceFixture : public framework::Fixture
47 {
48 public:
49     template <typename...>
setup(TensorShape shape,Coordinates starts,Coordinates ends,DataType data_type)50     void setup(TensorShape shape, Coordinates starts, Coordinates ends, DataType data_type)
51     {
52         _target    = compute_target(shape, starts, ends, data_type);
53         _reference = compute_reference(shape, starts, ends, data_type);
54     }
55 
56 protected:
57     template <typename U>
fill(U && tensor,int i)58     void fill(U &&tensor, int i)
59     {
60         library->fill_tensor_uniform(tensor, i);
61     }
62 
compute_target(const TensorShape & shape,const Coordinates & starts,const Coordinates & ends,DataType data_type)63     TensorType compute_target(const TensorShape &shape, const Coordinates &starts, const Coordinates &ends, DataType data_type)
64     {
65         // Create tensors
66         TensorType src = create_tensor<TensorType>(shape, data_type);
67         TensorType dst;
68 
69         // Create and configure function
70         FunctionType slice;
71         slice.configure(&src, &dst, starts, ends);
72 
73         ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
74         ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
75 
76         // Allocate tensors
77         src.allocator()->allocate();
78         dst.allocator()->allocate();
79 
80         ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
81         ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
82 
83         // Fill tensors
84         fill(AccessorType(src), 0);
85         fill(AccessorType(dst), 1);
86 
87         // Compute function
88         slice.run();
89 
90         return dst;
91     }
92 
compute_reference(const TensorShape & shape,const Coordinates & starts,const Coordinates & ends,DataType data_type)93     SimpleTensor<T> compute_reference(const TensorShape &shape, const Coordinates &starts, const Coordinates &ends, DataType data_type)
94     {
95         // Create reference
96         SimpleTensor<T> src{ shape, data_type };
97 
98         // Fill reference
99         fill(src, 0);
100 
101         return reference::slice(src, starts, ends);
102     }
103 
104     TensorType      _target{};
105     SimpleTensor<T> _reference{};
106 };
107 
108 template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
109 class StridedSliceFixture : public framework::Fixture
110 {
111 public:
112     template <typename...>
setup(TensorShape shape,Coordinates starts,Coordinates ends,BiStrides strides,int32_t begin_mask,int32_t end_mask,int32_t shrink_mask,DataType data_type)113     void setup(TensorShape shape,
114                Coordinates starts, Coordinates ends, BiStrides strides,
115                int32_t begin_mask, int32_t end_mask, int32_t shrink_mask,
116                DataType data_type)
117     {
118         _target    = compute_target(shape, starts, ends, strides, begin_mask, end_mask, shrink_mask, data_type);
119         _reference = compute_reference(shape, starts, ends, strides, begin_mask, end_mask, shrink_mask, data_type);
120     }
121 
122 protected:
123     template <typename U>
fill(U && tensor,int i)124     void fill(U &&tensor, int i)
125     {
126         library->fill_tensor_uniform(tensor, i);
127     }
128 
compute_target(const TensorShape & shape,const Coordinates & starts,const Coordinates & ends,const BiStrides & strides,int32_t begin_mask,int32_t end_mask,int32_t shrink_mask,DataType data_type)129     TensorType compute_target(const TensorShape &shape,
130                               const Coordinates &starts, const Coordinates &ends, const BiStrides &strides,
131                               int32_t begin_mask, int32_t end_mask, int32_t shrink_mask,
132                               DataType data_type)
133     {
134         // Create tensors
135         TensorType src = create_tensor<TensorType>(shape, data_type);
136         TensorType dst;
137 
138         // Create and configure function
139         FunctionType strided_slice;
140         strided_slice.configure(&src, &dst, starts, ends, strides, begin_mask, end_mask, shrink_mask);
141 
142         ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
143         ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
144 
145         // Allocate tensors
146         src.allocator()->allocate();
147         dst.allocator()->allocate();
148 
149         ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
150         ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
151 
152         // Fill tensors
153         fill(AccessorType(src), 0);
154         fill(AccessorType(dst), 1);
155 
156         // Compute function
157         strided_slice.run();
158 
159         return dst;
160     }
161 
compute_reference(const TensorShape & shape,const Coordinates & starts,const Coordinates & ends,const BiStrides & strides,int32_t begin_mask,int32_t end_mask,int32_t shrink_mask,DataType data_type)162     SimpleTensor<T> compute_reference(const TensorShape &shape,
163                                       const Coordinates &starts, const Coordinates &ends, const BiStrides &strides,
164                                       int32_t begin_mask, int32_t end_mask, int32_t shrink_mask,
165                                       DataType data_type)
166     {
167         // Create reference
168         SimpleTensor<T> src{ shape, data_type };
169 
170         // Fill reference
171         fill(src, 0);
172 
173         return reference::strided_slice(src, starts, ends, strides, begin_mask, end_mask, shrink_mask);
174     }
175 
176     TensorType      _target{};
177     SimpleTensor<T> _reference{};
178 };
179 } // namespace validation
180 } // namespace test
181 } // namespace arm_compute
182 #endif /* ARM_COMPUTE_TEST_SLICE_OPERATIONS_FIXTURE */
183