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/CLGather.h"
28 #include "tests/CL/CLAccessor.h"
29 #include "tests/datasets/GatherDataset.h"
30 #include "tests/framework/Asserts.h"
31 #include "tests/framework/Macros.h"
32 #include "tests/framework/datasets/Datasets.h"
33 #include "tests/validation/Validation.h"
34 #include "tests/validation/fixtures/GatherFixture.h"
35
36 namespace arm_compute
37 {
38 namespace test
39 {
40 namespace validation
41 {
42 TEST_SUITE(CL)
TEST_SUITE(Gather)43 TEST_SUITE(Gather)
44
45 // *INDENT-OFF*
46 // clang-format off
47 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
48 framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 27U), 1, DataType::F16),
49 TensorInfo(TensorShape(27U, 27U), 1, DataType::F32),
50 TensorInfo(TensorShape(27U, 27U), 1, DataType::F32),
51 TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), // Invalid Indices data type
52 TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), // Invalid Indices dimensionality
53 TensorInfo(TensorShape(5U, 5U, 5U, 5U, 5U), 1, DataType::F32), // Invalid Input dimensionality
54 TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), // Mismatching data type input/output
55 TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), // Invalid positive axis value
56 TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), // Invalid negative axis value
57 }),
58 framework::dataset::make("IndicesInfo", {
59 TensorInfo(TensorShape(10U), 1, DataType::U32),
60 TensorInfo(TensorShape(10U), 1, DataType::U32),
61 TensorInfo(TensorShape(10U), 1, DataType::U32),
62 TensorInfo(TensorShape(10U), 1, DataType::U8),
63 TensorInfo(TensorShape(10U, 10U), 1, DataType::U32),
64 TensorInfo(TensorShape(10U), 1, DataType::U32),
65 TensorInfo(TensorShape(10U), 1, DataType::U32),
66 TensorInfo(TensorShape(10U), 1, DataType::U32),
67 TensorInfo(TensorShape(10U), 1, DataType::U32),
68 })),
69 framework::dataset::make("OutputInfo", {
70 TensorInfo(TensorShape(10U, 27U), 1, DataType::F16),
71 TensorInfo(TensorShape(27U, 10U), 1, DataType::F32),
72 TensorInfo(TensorShape(10U, 27U), 1, DataType::F32),
73 TensorInfo(TensorShape(10U, 27U), 1, DataType::F32),
74 TensorInfo(TensorShape(27U, 10U), 1, DataType::F32),
75 TensorInfo(TensorShape(10U, 5U, 5U, 5U, 5U), 1, DataType::F32),
76 TensorInfo(TensorShape(27U, 10U), 1, DataType::F32),
77 TensorInfo(TensorShape(27U, 27U), 1, DataType::F32),
78 TensorInfo(TensorShape(27U, 27U), 1, DataType::F16),
79 })),
80 framework::dataset::make("Axis", {
81 0,
82 1,
83 -2,
84 0,
85 1,
86 0,
87 1,
88 2,
89 -3,
90 })),
91 framework::dataset::make("Expected", { true, true, true, false, false, false, false, false, false })),
92 input_info, indices_info, output_info, axis, expected)
93 {
94 const Status status = CLGather::validate(&input_info.clone()->set_is_resizable(true), &indices_info.clone()->set_is_resizable(true), &output_info.clone()->set_is_resizable(true), axis);
95 ARM_COMPUTE_EXPECT(bool(status) == expected, framework::LogLevel::ERRORS);
96 }
97 // clang-format on
98 // *INDENT-ON*
99
100 template <typename T>
101 using CLGatherFixture = GatherFixture<CLTensor, CLAccessor, CLGather, T>;
102
103 TEST_SUITE(Float)
TEST_SUITE(FP16)104 TEST_SUITE(FP16)
105 FIXTURE_DATA_TEST_CASE(RunSmall,
106 CLGatherFixture<half>,
107 framework::DatasetMode::PRECOMMIT,
108 combine(datasets::SmallGatherDataset(), framework::dataset::make("DataType", DataType::F16)))
109 {
110 // Validate output
111 validate(CLAccessor(_target), _reference);
112 }
113
114 FIXTURE_DATA_TEST_CASE(RunLarge,
115 CLGatherFixture<half>,
116 framework::DatasetMode::NIGHTLY,
117 combine(datasets::LargeGatherDataset(), framework::dataset::make("DataType", DataType::F16)))
118 {
119 // Validate output
120 validate(CLAccessor(_target), _reference);
121 }
122 TEST_SUITE_END() // FP16
123
TEST_SUITE(FP32)124 TEST_SUITE(FP32)
125 FIXTURE_DATA_TEST_CASE(RunSmall,
126 CLGatherFixture<float>,
127 framework::DatasetMode::PRECOMMIT,
128 combine(datasets::SmallGatherDataset(), framework::dataset::make("DataType", DataType::F32)))
129 {
130 // Validate output
131 validate(CLAccessor(_target), _reference);
132 }
133
134 FIXTURE_DATA_TEST_CASE(RunLarge,
135 CLGatherFixture<float>,
136 framework::DatasetMode::NIGHTLY,
137 combine(datasets::LargeGatherDataset(), framework::dataset::make("DataType", DataType::F32)))
138 {
139 // Validate output
140 validate(CLAccessor(_target), _reference);
141 }
142 TEST_SUITE_END() // FP32
TEST_SUITE_END()143 TEST_SUITE_END() // Float
144
145 TEST_SUITE(U8)
146 FIXTURE_DATA_TEST_CASE(RunSmall,
147 CLGatherFixture<uint8_t>,
148 framework::DatasetMode::PRECOMMIT,
149 combine(datasets::SmallGatherDataset(), framework::dataset::make("DataType", DataType::U8)))
150 {
151 // Validate output
152 validate(CLAccessor(_target), _reference);
153 }
154
155 FIXTURE_DATA_TEST_CASE(RunLarge,
156 CLGatherFixture<uint8_t>,
157 framework::DatasetMode::NIGHTLY,
158 combine(datasets::LargeGatherDataset(), framework::dataset::make("DataType", DataType::U8)))
159 {
160 // Validate output
161 validate(CLAccessor(_target), _reference);
162 }
163 TEST_SUITE_END() // U8
164
TEST_SUITE(U16)165 TEST_SUITE(U16)
166 FIXTURE_DATA_TEST_CASE(RunSmall,
167 CLGatherFixture<uint16_t>,
168 framework::DatasetMode::PRECOMMIT,
169 combine(datasets::SmallGatherDataset(), framework::dataset::make("DataType", DataType::U16)))
170 {
171 // Validate output
172 validate(CLAccessor(_target), _reference);
173 }
174
175 FIXTURE_DATA_TEST_CASE(RunLarge,
176 CLGatherFixture<uint16_t>,
177 framework::DatasetMode::NIGHTLY,
178 combine(datasets::LargeGatherDataset(), framework::dataset::make("DataType", DataType::U16)))
179 {
180 // Validate output
181 validate(CLAccessor(_target), _reference);
182 }
183 TEST_SUITE_END() // U16
184
185 TEST_SUITE_END() // Gather
186 TEST_SUITE_END() // CL
187 } // namespace validation
188 } // namespace test
189 } // namespace arm_compute
190