1 /*
2 * Copyright (c) 2018-2021 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
25 #include "arm_compute/core/Types.h"
26 #include "arm_compute/runtime/CL/CLTensor.h"
27 #include "arm_compute/runtime/CL/CLTensorAllocator.h"
28 #include "arm_compute/runtime/CL/functions/CLSelect.h"
29 #include "tests/CL/CLAccessor.h"
30 #include "tests/PaddingCalculator.h"
31 #include "tests/datasets/ShapeDatasets.h"
32 #include "tests/framework/Asserts.h"
33 #include "tests/framework/Macros.h"
34 #include "tests/framework/datasets/Datasets.h"
35 #include "tests/validation/Validation.h"
36 #include "tests/validation/fixtures/SelectFixture.h"
37
38 namespace arm_compute
39 {
40 namespace test
41 {
42 namespace validation
43 {
44 namespace
45 {
46 auto run_small_dataset = combine(datasets::SmallShapes(), framework::dataset::make("has_same_rank", { false, true }));
47 auto run_large_dataset = combine(datasets::LargeShapes(), framework::dataset::make("has_same_rank", { false, true }));
48
49 } // namespace
50 TEST_SUITE(CL)
TEST_SUITE(Select)51 TEST_SUITE(Select)
52
53 // *INDENT-OFF*
54 // clang-format off
55 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
56 framework::dataset::make("CInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S8), // Invalid condition datatype
57 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), // Invalid output datatype
58 TensorInfo(TensorShape(13U), 1, DataType::U8), // Invalid c shape
59 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), // Mismatching shapes
60 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
61 TensorInfo(TensorShape(2U), 1, DataType::U8),
62 }),
63 framework::dataset::make("XInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
64 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
65 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
66 TensorInfo(TensorShape(32U, 10U, 2U), 1, DataType::F32),
67 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
68 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
69 })),
70 framework::dataset::make("YInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
71 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
72 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
73 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
74 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
75 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
76 })),
77 framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
78 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S8),
79 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
80 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
81 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
82 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
83 })),
84 framework::dataset::make("Expected", { false, false, false, false, true, true})),
85 c_info, x_info, y_info, output_info, expected)
86 {
87 Status s = CLSelect::validate(&c_info.clone()->set_is_resizable(false),
88 &x_info.clone()->set_is_resizable(false),
89 &y_info.clone()->set_is_resizable(false),
90 &output_info.clone()->set_is_resizable(false));
91 ARM_COMPUTE_EXPECT(bool(s) == expected, framework::LogLevel::ERRORS);
92 }
93 // clang-format on
94 // *INDENT-ON*
95
96 template <typename T>
97 using CLSelectFixture = SelectValidationFixture<CLTensor, CLAccessor, CLSelect, T>;
98
99 TEST_SUITE(Float)
TEST_SUITE(F16)100 TEST_SUITE(F16)
101 FIXTURE_DATA_TEST_CASE(RunSmall,
102 CLSelectFixture<half>,
103 framework::DatasetMode::PRECOMMIT,
104 combine(run_small_dataset, framework::dataset::make("DataType", DataType::F16)))
105 {
106 // Validate output
107 validate(CLAccessor(_target), _reference);
108 }
109
110 FIXTURE_DATA_TEST_CASE(RunOneDim,
111 CLSelectFixture<half>,
112 framework::DatasetMode::PRECOMMIT,
113 combine(combine(framework::dataset::make("Shape", TensorShape(1U, 16U)),
114 framework::dataset::make("has_same_rank", { false, true })),
115 framework::dataset::make("DataType", DataType::F16)))
116 {
117 // Validate output
118 validate(CLAccessor(_target), _reference);
119 }
120
121 FIXTURE_DATA_TEST_CASE(RunLarge,
122 CLSelectFixture<half>,
123 framework::DatasetMode::NIGHTLY,
124 combine(run_large_dataset, framework::dataset::make("DataType", DataType::F16)))
125 {
126 // Validate output
127 validate(CLAccessor(_target), _reference);
128 }
129 TEST_SUITE_END() // F16
130
TEST_SUITE(FP32)131 TEST_SUITE(FP32)
132 FIXTURE_DATA_TEST_CASE(RunSmall,
133 CLSelectFixture<float>,
134 framework::DatasetMode::PRECOMMIT,
135 combine(run_small_dataset, framework::dataset::make("DataType", DataType::F32)))
136 {
137 // Validate output
138 validate(CLAccessor(_target), _reference);
139 }
140
141 FIXTURE_DATA_TEST_CASE(RunOneDim,
142 CLSelectFixture<float>,
143 framework::DatasetMode::PRECOMMIT,
144 combine(combine(framework::dataset::make("Shape", TensorShape(1U, 16U)),
145 framework::dataset::make("has_same_rank", { false, true })),
146 framework::dataset::make("DataType", DataType::F32)))
147 {
148 // Validate output
149 validate(CLAccessor(_target), _reference);
150 }
151
152 FIXTURE_DATA_TEST_CASE(RunLarge,
153 CLSelectFixture<float>,
154 framework::DatasetMode::NIGHTLY,
155 combine(run_large_dataset, framework::dataset::make("DataType", DataType::F32)))
156 {
157 // Validate output
158 validate(CLAccessor(_target), _reference);
159 }
160 TEST_SUITE_END() // F32
TEST_SUITE_END()161 TEST_SUITE_END() // Float
162
163 TEST_SUITE(Quantized)
164 TEST_SUITE(QASYMM8)
165 FIXTURE_DATA_TEST_CASE(RunSmall,
166 CLSelectFixture<uint8_t>,
167 framework::DatasetMode::PRECOMMIT,
168 combine(run_small_dataset, framework::dataset::make("DataType", DataType::QASYMM8)))
169 {
170 // Validate output
171 validate(CLAccessor(_target), _reference);
172 }
173
174 FIXTURE_DATA_TEST_CASE(RunOneDim,
175 CLSelectFixture<uint8_t>,
176 framework::DatasetMode::PRECOMMIT,
177 combine(combine(framework::dataset::make("Shape", TensorShape(1U, 16U)),
178 framework::dataset::make("has_same_rank", { false, true })),
179 framework::dataset::make("DataType", DataType::QASYMM8)))
180 {
181 // Validate output
182 validate(CLAccessor(_target), _reference);
183 }
184
185 FIXTURE_DATA_TEST_CASE(RunLarge,
186 CLSelectFixture<uint8_t>,
187 framework::DatasetMode::NIGHTLY,
188 combine(run_large_dataset, framework::dataset::make("DataType", DataType::QASYMM8)))
189 {
190 // Validate output
191 validate(CLAccessor(_target), _reference);
192 }
193 TEST_SUITE_END() // QASYMM8
194 TEST_SUITE_END() // Quantized
195
196 TEST_SUITE_END() // Select
197 TEST_SUITE_END() // CL
198 } // namespace validation
199 } // namespace test
200 } // namespace arm_compute