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 #include "arm_compute/core/Types.h"
25 #include "arm_compute/core/utils/misc/ShapeCalculator.h"
26 #include "arm_compute/runtime/CL/CLTensor.h"
27 #include "arm_compute/runtime/CL/CLTensorAllocator.h"
28 #include "arm_compute/runtime/CL/functions/CLArgMinMaxLayer.h"
29 #include "arm_compute/runtime/CL/functions/CLReductionOperation.h"
30 #include "tests/CL/CLAccessor.h"
31 #include "tests/datasets/ShapeDatasets.h"
32 #include "tests/datasets/SplitDataset.h"
33 #include "tests/framework/Asserts.h"
34 #include "tests/framework/Macros.h"
35 #include "tests/validation/Validation.h"
36 #include "tests/validation/fixtures/ArgMinMaxFixture.h"
37
38 namespace arm_compute
39 {
40 namespace test
41 {
42 namespace validation
43 {
44 namespace
45 {
46 const auto ArgMinMaxSmallDataset = framework::dataset::make("Shape",
47 {
48 TensorShape{ 1U, 7U, 1U, 3U },
49 TensorShape{ 149U, 5U, 1U, 2U },
50 TensorShape{ 166U, 5U, 1U, 2U },
51 TensorShape{ 322U, 5U, 1U, 2U },
52 TensorShape{ 128U, 5U, 21U, 3U },
53 TensorShape{ 2560, 2U, 2U, 2U },
54 });
55
56 const auto ArgMinMaxLargeDataset = framework::dataset::make("Shape",
57 { TensorShape{ 517U, 123U, 13U, 2U } });
58 } // namespace
59 TEST_SUITE(CL)
TEST_SUITE(ArgMinMax)60 TEST_SUITE(ArgMinMax)
61
62 // *INDENT-OFF*
63 // clang-format off
64 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
65 framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), // Invalid axis
66 TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), // Invalid output shape
67 TensorInfo(TensorShape(32U, 16U, 16U, 2U), 1, DataType::F32),
68 TensorInfo(TensorShape(32U, 16U, 16U, 2U), 1, DataType::F32), // Invalid operation
69 TensorInfo(TensorShape(32U, 16U, 16U, 2U), 1, DataType::F32) // Not allowed keeping the dimension
70 }),
71 framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32),
72 TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32),
73 TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::S32),
74 TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32),
75 TensorInfo(TensorShape(32U, 16U, 1U, 2U), 1, DataType::U32)
76 })),
77 framework::dataset::make("Axis", { 4, 0, 2, 0, 2 })),
78 framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MAX, ReductionOperation::ARG_IDX_MAX, ReductionOperation::ARG_IDX_MAX, ReductionOperation::MEAN_SUM, ReductionOperation::ARG_IDX_MAX })),
79 framework::dataset::make("Expected", { false, false, true, false, false })),
80 input_info, output_info, axis, operation, expected)
81 {
82 const Status status = CLArgMinMaxLayer::validate(&input_info.clone()->set_is_resizable(false), axis, &output_info.clone()->set_is_resizable(false), operation);
83 ARM_COMPUTE_EXPECT(bool(status) == expected, framework::LogLevel::ERRORS);
84 }
85 // clang-format on
86 // *INDENT-ON*
87
88 template <typename T>
89 using CLArgMinMaxValidationFixture = ArgMinMaxValidationFixture<CLTensor, CLAccessor, CLArgMinMaxLayer, T>;
90
91 TEST_SUITE(S32)
92 FIXTURE_DATA_TEST_CASE(RunSmall,
93 CLArgMinMaxValidationFixture<int32_t>,
94 framework::DatasetMode::PRECOMMIT,
95 combine(combine(combine(ArgMinMaxSmallDataset, framework::dataset::make("DataType", DataType::S32)), framework::dataset::make("Axis", { 0, 1, 2, 3 })),
96 framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })))
97 {
98 // Validate output
99 validate(CLAccessor(_target), _reference);
100 }
101 FIXTURE_DATA_TEST_CASE(RunLarge,
102 CLArgMinMaxValidationFixture<int32_t>,
103 framework::DatasetMode::NIGHTLY,
104 combine(combine(combine(ArgMinMaxLargeDataset, framework::dataset::make("DataType", DataType::S32)), framework::dataset::make("Axis", { 0, 1, 2, 3 })),
105 framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })))
106 {
107 // Validate output
108 validate(CLAccessor(_target), _reference);
109 }
110 TEST_SUITE_END() // S32
111
TEST_SUITE(Float)112 TEST_SUITE(Float)
113 TEST_SUITE(FP16)
114 FIXTURE_DATA_TEST_CASE(RunSmall,
115 CLArgMinMaxValidationFixture<half>,
116 framework::DatasetMode::PRECOMMIT,
117 combine(combine(combine(ArgMinMaxSmallDataset, framework::dataset::make("DataType", DataType::F16)), framework::dataset::make("Axis", { 0, 1, 2, 3 })),
118 framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })))
119 {
120 // Validate output
121 validate(CLAccessor(_target), _reference);
122 }
123
124 FIXTURE_DATA_TEST_CASE(RunLarge,
125 CLArgMinMaxValidationFixture<half>,
126 framework::DatasetMode::NIGHTLY,
127 combine(combine(combine(ArgMinMaxLargeDataset, framework::dataset::make("DataType", DataType::F16)), framework::dataset::make("Axis", { 0, 1, 2, 3 })),
128 framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })))
129 {
130 // Validate output
131 validate(CLAccessor(_target), _reference);
132 }
133 TEST_SUITE_END() // FP16
134
TEST_SUITE(FP32)135 TEST_SUITE(FP32)
136 FIXTURE_DATA_TEST_CASE(RunSmall,
137 CLArgMinMaxValidationFixture<float>,
138 framework::DatasetMode::PRECOMMIT,
139 combine(combine(combine(ArgMinMaxSmallDataset, framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("Axis", { 0, 1, 2, 3 })),
140 framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })))
141 {
142 // Validate output
143 validate(CLAccessor(_target), _reference);
144 }
145
146 FIXTURE_DATA_TEST_CASE(RunLarge,
147 CLArgMinMaxValidationFixture<float>,
148 framework::DatasetMode::NIGHTLY,
149 combine(combine(combine(ArgMinMaxLargeDataset, framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("Axis", { 0, 1, 2, 3 })),
150 framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })))
151 {
152 // Validate output
153 validate(CLAccessor(_target), _reference);
154 }
155 TEST_SUITE_END() // FP32
156 TEST_SUITE_END() // Float
157
158 template <typename T>
159 using CLArgMinMaxQuantizedValidationFixture = ArgMinMaxValidationQuantizedFixture<CLTensor, CLAccessor, CLArgMinMaxLayer, T>;
160
161 TEST_SUITE(Quantized)
TEST_SUITE(QASYMM8)162 TEST_SUITE(QASYMM8)
163 FIXTURE_DATA_TEST_CASE(RunSmall,
164 CLArgMinMaxQuantizedValidationFixture<uint8_t>,
165 framework::DatasetMode::PRECOMMIT,
166 combine(combine(combine(combine(ArgMinMaxSmallDataset, framework::dataset::make("DataType", DataType::QASYMM8)), framework::dataset::make("Axis", { 0, 1, 2, 3 })),
167 framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })),
168 framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) })))
169 {
170 // Validate output
171 validate(CLAccessor(_target), _reference);
172 }
173
174 FIXTURE_DATA_TEST_CASE(RunLarge,
175 CLArgMinMaxQuantizedValidationFixture<uint8_t>,
176 framework::DatasetMode::NIGHTLY,
177 combine(combine(combine(combine(ArgMinMaxLargeDataset, framework::dataset::make("DataType", DataType::QASYMM8)), framework::dataset::make("Axis", { 0, 1, 2, 3 })),
178 framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })),
179 framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) })))
180 {
181 // Validate output
182 validate(CLAccessor(_target), _reference);
183 }
184 TEST_SUITE_END() // QASYMM8
185
TEST_SUITE(QASYMM8_SIGNED)186 TEST_SUITE(QASYMM8_SIGNED)
187 FIXTURE_DATA_TEST_CASE(RunSmall,
188 CLArgMinMaxQuantizedValidationFixture<int8_t>,
189 framework::DatasetMode::PRECOMMIT,
190 combine(combine(combine(combine(ArgMinMaxSmallDataset, framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), framework::dataset::make("Axis", { 0, 1, 2, 3 })),
191 framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })),
192 framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) })))
193 {
194 // Validate output
195 validate(CLAccessor(_target), _reference);
196 }
197
198 FIXTURE_DATA_TEST_CASE(RunLarge,
199 CLArgMinMaxQuantizedValidationFixture<int8_t>,
200 framework::DatasetMode::NIGHTLY,
201 combine(combine(combine(combine(ArgMinMaxLargeDataset, framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), framework::dataset::make("Axis", { 0, 1, 2, 3 })),
202 framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })),
203 framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) })))
204 {
205 // Validate output
206 validate(CLAccessor(_target), _reference);
207 }
208 TEST_SUITE_END() // QASYMM8_SIGNED
209
210 TEST_SUITE_END() // Quantized
211 TEST_SUITE_END() // ArgMinMax
212 TEST_SUITE_END() // CL
213 } // namespace validation
214 } // namespace test
215 } // namespace arm_compute
216