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1 /*
2  * Copyright (c) 2018-2020 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 #include "arm_compute/core/Types.h"
25 #include "arm_compute/runtime/CL/CLTensor.h"
26 #include "arm_compute/runtime/CL/CLTensorAllocator.h"
27 #include "arm_compute/runtime/CL/functions/CLSplit.h"
28 
29 #include "tests/CL/CLAccessor.h"
30 #include "tests/datasets/SplitDataset.h"
31 #include "tests/framework/Asserts.h"
32 #include "tests/framework/Macros.h"
33 #include "tests/framework/datasets/Datasets.h"
34 #include "tests/validation/Validation.h"
35 #include "tests/validation/fixtures/SplitFixture.h"
36 
37 namespace arm_compute
38 {
39 namespace test
40 {
41 namespace validation
42 {
43 TEST_SUITE(CL)
TEST_SUITE(Split)44 TEST_SUITE(Split)
45 
46 // *INDENT-OFF*
47 // clang-format off
48 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
49         framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), // Invalid axis
50                                                 TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), // Invalid number of splits
51                                                 TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32)
52         }),
53         framework::dataset::make("Axis", { 4, 2, 2 })),
54         framework::dataset::make("Splits", { 4, 5, 4 })),
55         framework::dataset::make("Expected", { false, false, true })),
56         input_info, axis, splits, expected)
57 {
58     std::vector<TensorInfo> outputs_info(splits);
59     std::vector<ITensorInfo*> outputs_info_ptr;
60     outputs_info_ptr.reserve(splits);
61     for(auto &output_info : outputs_info)
62     {
63         outputs_info_ptr.emplace_back(&output_info);
64     }
65     const Status status = CLSplit::validate(&input_info.clone()->set_is_resizable(false), outputs_info_ptr, axis);
66     ARM_COMPUTE_EXPECT(bool(status) == expected, framework::LogLevel::ERRORS);
67 }
68 
69 DATA_TEST_CASE(ValidateSplitShapes, framework::DatasetMode::ALL, zip(zip(zip(
70         framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32),
71                                                 TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32)
72         }),
73         framework::dataset::make("Axis", { 2, 2 })),
74         framework::dataset::make("Splits", { std::vector<TensorInfo>{TensorInfo(TensorShape(27U, 3U, 4U,  2U), 1, DataType::F32),
75                                                                      TensorInfo(TensorShape(27U, 3U, 4U,  2U), 1, DataType::F32),
76                                                                      TensorInfo(TensorShape(27U, 3U, 8U,  2U), 1, DataType::F32)},
77                                              std::vector<TensorInfo>{TensorInfo(TensorShape(27U, 3U, 3U,  2U), 1, DataType::F32),
78                                                                      TensorInfo(TensorShape(27U, 3U, 13U, 2U), 1, DataType::F32)} })),
79         framework::dataset::make("Expected", { true, true })),
80         input_info, axis, splits, expected)
81 {
82     std::vector<ITensorInfo*> outputs_info_ptr;
83 
84     for(auto &split : splits)
85     {
86         outputs_info_ptr.emplace_back(const_cast<TensorInfo*>(&split));
87     }
88     const Status status = CLSplit::validate(&input_info.clone()->set_is_resizable(false), outputs_info_ptr, axis);
89     ARM_COMPUTE_EXPECT(bool(status) == expected, framework::LogLevel::ERRORS);
90 }
91 // clang-format on
92 // *INDENT-ON*
93 
94 template <typename T>
95 using CLSplitFixture = SplitFixture<CLTensor, ICLTensor, CLAccessor, CLSplit, T>;
96 
97 template <typename T>
98 using CLSplitShapesFixture = SplitShapesFixture<CLTensor, ICLTensor, CLAccessor, CLSplit, T>;
99 
100 TEST_SUITE(Float)
TEST_SUITE(FP16)101 TEST_SUITE(FP16)
102 FIXTURE_DATA_TEST_CASE(RunSmall,
103                        CLSplitFixture<half>,
104                        framework::DatasetMode::PRECOMMIT,
105                        combine(datasets::SmallSplitDataset(), framework::dataset::make("DataType", DataType::F16)))
106 {
107     // Validate outputs
108     for(unsigned int i = 0; i < _target.size(); ++i)
109     {
110         validate(CLAccessor(_target[i]), _reference[i]);
111     }
112 }
113 
114 FIXTURE_DATA_TEST_CASE(RunLarge,
115                        CLSplitFixture<half>,
116                        framework::DatasetMode::NIGHTLY,
117                        combine(datasets::LargeSplitDataset(), framework::dataset::make("DataType", DataType::F16)))
118 {
119     // Validate outputs
120     for(unsigned int i = 0; i < _target.size(); ++i)
121     {
122         validate(CLAccessor(_target[i]), _reference[i]);
123     }
124 }
125 
126 FIXTURE_DATA_TEST_CASE(RunSmallSplitShapes,
127                        CLSplitShapesFixture<half>,
128                        framework::DatasetMode::PRECOMMIT,
129                        combine(datasets::SmallSplitShapesDataset(), framework::dataset::make("DataType", DataType::F16)))
130 {
131     // Validate outputs
132     for(unsigned int i = 0; i < _target.size(); ++i)
133     {
134         validate(CLAccessor(_target[i]), _reference[i]);
135     }
136 }
137 TEST_SUITE_END() // FP16
138 
TEST_SUITE(FP32)139 TEST_SUITE(FP32)
140 FIXTURE_DATA_TEST_CASE(RunSmall,
141                        CLSplitFixture<float>,
142                        framework::DatasetMode::PRECOMMIT,
143                        combine(datasets::SmallSplitDataset(), framework::dataset::make("DataType", DataType::F32)))
144 {
145     // Validate outputs
146     for(unsigned int i = 0; i < _target.size(); ++i)
147     {
148         validate(CLAccessor(_target[i]), _reference[i]);
149     }
150 }
151 
152 FIXTURE_DATA_TEST_CASE(RunLarge,
153                        CLSplitFixture<float>,
154                        framework::DatasetMode::NIGHTLY,
155                        combine(datasets::LargeSplitDataset(), framework::dataset::make("DataType", DataType::F32)))
156 {
157     // Validate outputs
158     for(unsigned int i = 0; i < _target.size(); ++i)
159     {
160         validate(CLAccessor(_target[i]), _reference[i]);
161     }
162 }
163 
164 FIXTURE_DATA_TEST_CASE(RunSmallSplitShapes,
165                        CLSplitShapesFixture<float>,
166                        framework::DatasetMode::PRECOMMIT,
167                        combine(datasets::SmallSplitShapesDataset(), framework::dataset::make("DataType", DataType::F32)))
168 {
169     // Validate outputs
170     for(unsigned int i = 0; i < _target.size(); ++i)
171     {
172         validate(CLAccessor(_target[i]), _reference[i]);
173     }
174 }
175 TEST_SUITE_END() // FP32
176 TEST_SUITE_END() // Float
177 
178 TEST_SUITE_END() // Split
179 TEST_SUITE_END() // CL
180 } // namespace validation
181 } // namespace test
182 } // namespace arm_compute
183