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/runtime/NEON/functions/NEElementwiseOperations.h"
26 #include "arm_compute/runtime/Tensor.h"
27 #include "arm_compute/runtime/TensorAllocator.h"
28 #include "tests/NEON/Accessor.h"
29 #include "tests/datasets/ShapeDatasets.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/ElementwiseOperationsFixture.h"
35
36 namespace arm_compute
37 {
38 namespace test
39 {
40 namespace validation
41 {
42 namespace
43 {
44 constexpr RelativeTolerance<float> tolerance_fp32(0.000001f);
45 constexpr AbsoluteTolerance<int8_t> tolerance_qasymm8_signed(1);
46 /** Input data sets **/
47 const auto ElementwiseMinQASYMM8Dataset = combine(combine(framework::dataset::make("DataType", DataType::QASYMM8), framework::dataset::make("DataType", DataType::QASYMM8)),
48 framework::dataset::make("DataType",
49 DataType::QASYMM8));
50
51 const auto ElementwiseMaxQASYMM8SignedDataset = combine(combine(framework::dataset::make("DataType", DataType::QASYMM8_SIGNED), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)),
52 framework::dataset::make("DataType",
53 DataType::QASYMM8_SIGNED));
54
55 const auto ElementwiseMinS32Dataset = combine(combine(framework::dataset::make("DataType", DataType::S32), framework::dataset::make("DataType", DataType::S32)), framework::dataset::make("DataType",
56 DataType::S32));
57 const auto ElementwiseMinS16Dataset = combine(combine(framework::dataset::make("DataType", { DataType::S16 }), framework::dataset::make("DataType", DataType::S16)),
58 framework::dataset::make("DataType", DataType::S16));
59 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
60 const auto ElementwiseMinFP16Dataset = combine(combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::F16)),
61 framework::dataset::make("DataType", DataType::F16));
62 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
63 const auto ElementwiseMinFP32Dataset = combine(combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::F32)),
64 framework::dataset::make("DataType", DataType::F32));
65 const auto InPlaceDataSet = framework::dataset::make("InPlace", { false, true });
66 const auto OutOfPlaceDataSet = framework::dataset::make("InPlace", { false });
67 } // namespace
68
69 TEST_SUITE(NEON)
70 TEST_SUITE(ElementwiseMin)
71
72 template <typename T>
73 using NEElementwiseMinFixture = ElementwiseMinValidationFixture<Tensor, Accessor, NEElementwiseMin, T>;
74
75 // *INDENT-OFF*
76 // clang-format off
77 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
78 framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
79 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32),
80 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S32),
81 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), // Invalid data type combination
82 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Mismatching shapes
83 TensorInfo(TensorShape(4U, 4U, 2U), 1, DataType::QASYMM8_SIGNED), // Ok
84 TensorInfo(TensorShape(4U, 4U, 2U), 1, DataType::QASYMM8_SIGNED), // Mismatching types, cannot mix QASYMM8_SIGNED with QASYMM8
85 }),
86 framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
87 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32),
88 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S32),
89 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16),
90 TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
91 TensorInfo(TensorShape(4U, 4U, 2U), 1, DataType::QASYMM8_SIGNED),
92 TensorInfo(TensorShape(4U, 4U, 2U), 1, DataType::QASYMM8),
93 })),
94 framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
95 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32),
96 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S32),
97 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32),
98 TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
99 TensorInfo(TensorShape(4U, 4U, 2U), 1, DataType::QASYMM8_SIGNED),
100 TensorInfo(TensorShape(4U, 4U, 2U), 1, DataType::QASYMM8_SIGNED),
101 })),
102 framework::dataset::make("Expected", { true, true, true, false,
103 false,true,false})),
104 input1_info, input2_info, output_info, expected)
105 {
106 ARM_COMPUTE_EXPECT(bool(NEElementwiseMin::validate(
107 &input1_info.clone()->set_is_resizable(false),
108 &input2_info.clone()->set_is_resizable(false),
109 &output_info.clone()->set_is_resizable(false))) == expected, framework::LogLevel::ERRORS);
110 }
111 // clang-format on
112 // *INDENT-ON*
113
114 TEST_SUITE(S32)
FIXTURE_DATA_TEST_CASE(RunSmall,NEElementwiseMinFixture<int32_t>,framework::DatasetMode::PRECOMMIT,combine (combine (datasets::SmallShapes (),ElementwiseMinS32Dataset),InPlaceDataSet))115 FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseMinFixture<int32_t>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ElementwiseMinS32Dataset),
116 InPlaceDataSet))
117 {
118 // Validate output
119 validate(Accessor(_target), _reference);
120 }
121 TEST_SUITE_END() // S32
122
TEST_SUITE(S16)123 TEST_SUITE(S16)
124 FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseMinFixture<int16_t>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ElementwiseMinS16Dataset),
125 InPlaceDataSet))
126 {
127 // Validate output
128 validate(Accessor(_target), _reference);
129 }
130 TEST_SUITE_END() // S16
131
132 template <typename T>
133 using NEElementwiseMinQuantizedFixture = ElementwiseMinValidationQuantizedFixture<Tensor, Accessor, NEElementwiseMin, T>;
134
135 TEST_SUITE(Quantized)
136 TEST_SUITE(QASYMM8)
137 template <typename T>
138 using NEElementwiseMinQuantizedBroadcastFixture = ElementwiseMinQuantizedBroadcastValidationFixture<Tensor, Accessor, NEElementwiseMin, T>;
139
140 FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEElementwiseMinQuantizedBroadcastFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
141 combine(combine(combine(combine(combine(datasets::SmallShapesBroadcast(),
142 ElementwiseMinQASYMM8Dataset),
143 framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) })),
144 framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255.f, 10) })),
145 framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 255.f, 5) })),
146 OutOfPlaceDataSet))
147 {
148 // Validate output
149 validate(Accessor(_target), _reference);
150 }
151 FIXTURE_DATA_TEST_CASE(RunTinyBroadcastInPlace, NEElementwiseMinQuantizedBroadcastFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
152 combine(combine(combine(combine(combine(datasets::TinyShapesBroadcastInplace(),
153 ElementwiseMinQASYMM8Dataset),
154 framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255.f, 20) })),
155 framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255.f, 20) })),
156 framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255.f, 20) })),
157 InPlaceDataSet))
158 {
159 // Validate output
160 validate(Accessor(_target), _reference);
161 }
162 FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseMinQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(),
163 ElementwiseMinQASYMM8Dataset),
164 framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) })),
165 framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255.f, 10) })),
166 framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 255.f, 5) })),
167 OutOfPlaceDataSet))
168 {
169 // Validate output
170 validate(Accessor(_target), _reference, tolerance_fp32, 0.01);
171 }
172 TEST_SUITE_END()
173
TEST_SUITE(QASYMM8_SIGNED)174 TEST_SUITE(QASYMM8_SIGNED)
175 FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseMinQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(),
176 ElementwiseMaxQASYMM8SignedDataset),
177 framework::dataset::make("QuantizationInfo", { QuantizationInfo(10.f, 20) })),
178 framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f, 0) })),
179 framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f, -27) })),
180 OutOfPlaceDataSet))
181 {
182 // Validate output
183 validate(Accessor(_target), _reference, tolerance_qasymm8_signed);
184 }
185
186 TEST_SUITE_END()
187
TEST_SUITE_END()188 TEST_SUITE_END()
189
190 TEST_SUITE(Float)
191 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
192 TEST_SUITE(F16)
193 FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseMinFixture<half>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ElementwiseMinFP16Dataset),
194 InPlaceDataSet))
195 {
196 // Validate output
197 validate(Accessor(_target), _reference);
198 }
199 TEST_SUITE_END() // F16
200 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
201
TEST_SUITE(F32)202 TEST_SUITE(F32)
203 FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseMinFixture<float>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ElementwiseMinFP32Dataset),
204 InPlaceDataSet))
205 {
206 // Validate output
207 validate(Accessor(_target), _reference);
208 }
209
210 template <typename T>
211 using NEElementwiseMinBroadcastFixture = ElementwiseMinBroadcastValidationFixture<Tensor, Accessor, NEElementwiseMin, T>;
212
FIXTURE_DATA_TEST_CASE(RunSmallBroadcast,NEElementwiseMinBroadcastFixture<float>,framework::DatasetMode::ALL,combine (combine (datasets::SmallShapesBroadcast (),ElementwiseMinFP32Dataset),OutOfPlaceDataSet))213 FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEElementwiseMinBroadcastFixture<float>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapesBroadcast(),
214 ElementwiseMinFP32Dataset),
215 OutOfPlaceDataSet))
216 {
217 // Validate output
218 validate(Accessor(_target), _reference);
219 }
FIXTURE_DATA_TEST_CASE(RunTinyBroadcastInPlace,NEElementwiseMinBroadcastFixture<float>,framework::DatasetMode::ALL,combine (combine (datasets::TinyShapesBroadcastInplace (),ElementwiseMinFP32Dataset),InPlaceDataSet))220 FIXTURE_DATA_TEST_CASE(RunTinyBroadcastInPlace, NEElementwiseMinBroadcastFixture<float>, framework::DatasetMode::ALL, combine(combine(datasets::TinyShapesBroadcastInplace(),
221 ElementwiseMinFP32Dataset),
222 InPlaceDataSet))
223 {
224 // Validate output
225 validate(Accessor(_target), _reference);
226 }
227 TEST_SUITE_END() // F32
228 TEST_SUITE_END() // Float
229
230 TEST_SUITE_END() // ElementwiseMin
231 TEST_SUITE_END() // Neon
232 } // namespace validation
233 } // namespace test
234 } // namespace arm_compute
235