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 ElementwiseMaxQASYMM8Dataset = combine(combine(framework::dataset::make("DataType", DataType::QASYMM8), framework::dataset::make("DataType", DataType::QASYMM8)),
48 framework::dataset::make("DataType",
49 DataType::QASYMM8));
50 const auto ElementwiseMaxQASYMM8SignedDataset = combine(combine(framework::dataset::make("DataType", DataType::QASYMM8_SIGNED), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)),
51 framework::dataset::make("DataType",
52 DataType::QASYMM8_SIGNED));
53
54 /** Input data sets **/
55 const auto ElementwiseMaxS32Dataset = combine(combine(framework::dataset::make("DataType", DataType::S32), framework::dataset::make("DataType", DataType::S32)), framework::dataset::make("DataType",
56 DataType::S32));
57 const auto ElementwiseMaxS16Dataset = 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 ElementwiseMaxFP16Dataset = 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 ElementwiseMaxFP32Dataset = 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(ElementwiseMax)
71
72 template <typename T>
73 using NEElementwiseMaxFixture = ElementwiseMaxValidationFixture<Tensor, Accessor, NEElementwiseMax, 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(8U, 8U, 3U), 1, DataType::QASYMM8_SIGNED), // OK
84 TensorInfo(TensorShape(8U, 8U, 3U), 1, DataType::QASYMM8_SIGNED), // Mismatching data types
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(8U, 8U, 3U), 1, DataType::QASYMM8_SIGNED),
92 TensorInfo(TensorShape(8U, 8U, 3U), 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(8U, 8U, 3U), 1, DataType::QASYMM8_SIGNED),
100 TensorInfo(TensorShape(8U, 8U, 3U), 1, DataType::QASYMM8_SIGNED),
101 })),
102
103 framework::dataset::make("Expected", { true, true, true, false, false, true, false, false })),
104 input1_info, input2_info, output_info, expected)
105 {
106 ARM_COMPUTE_EXPECT(bool(NEElementwiseMax::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))
110 ) == expected, framework::LogLevel::ERRORS);
111 }
112 // clang-format on
113 // *INDENT-ON*
114
115 TEST_SUITE(S32)
FIXTURE_DATA_TEST_CASE(RunSmall,NEElementwiseMaxFixture<int32_t>,framework::DatasetMode::PRECOMMIT,combine (combine (datasets::SmallShapes (),ElementwiseMaxS32Dataset),InPlaceDataSet))116 FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseMaxFixture<int32_t>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ElementwiseMaxS32Dataset),
117 InPlaceDataSet))
118 {
119 // Validate output
120 validate(Accessor(_target), _reference);
121 }
122 TEST_SUITE_END() // S32
123
TEST_SUITE(S16)124 TEST_SUITE(S16)
125 FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseMaxFixture<int16_t>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ElementwiseMaxS16Dataset),
126 InPlaceDataSet))
127 {
128 // Validate output
129 validate(Accessor(_target), _reference);
130 }
131 TEST_SUITE_END() // S16
132
133 template <typename T>
134 using NEElementwiseMaxQuantizedFixture = ElementwiseMaxValidationQuantizedFixture<Tensor, Accessor, NEElementwiseMax, T>;
135
136 TEST_SUITE(Quantized)
TEST_SUITE(QASYMM8)137 TEST_SUITE(QASYMM8)
138 FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseMaxQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(),
139 ElementwiseMaxQASYMM8Dataset),
140 framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) })),
141 framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255.f, 10) })),
142 framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 255.f, 5) })),
143 OutOfPlaceDataSet))
144 {
145 // Validate output
146 validate(Accessor(_target), _reference, tolerance_fp32, 0.01);
147 }
148
149 template <typename T>
150 using NEElementwiseMaxQuantizedBroadcastFixture = ElementwiseMaxQuantizedBroadcastValidationFixture<Tensor, Accessor, NEElementwiseMax, T>;
151
152 FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEElementwiseMaxQuantizedBroadcastFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
153 combine(combine(combine(combine(combine(datasets::SmallShapesBroadcast(),
154 ElementwiseMaxQASYMM8Dataset),
155 framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) })),
156 framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255.f, 10) })),
157 framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 255.f, 5) })),
158 OutOfPlaceDataSet))
159 {
160 // Validate output
161 validate(Accessor(_target), _reference);
162 }
163 TEST_SUITE_END()
164
TEST_SUITE(QASYMM8_SIGNED)165 TEST_SUITE(QASYMM8_SIGNED)
166 FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseMaxQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(),
167 ElementwiseMaxQASYMM8SignedDataset),
168 framework::dataset::make("QuantizationInfo", { QuantizationInfo(10.f, 20) })),
169 framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f, 0) })),
170 framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f, -27) })),
171 OutOfPlaceDataSet))
172 {
173 // Validate output
174 validate(Accessor(_target), _reference, tolerance_qasymm8_signed);
175 }
176 FIXTURE_DATA_TEST_CASE(RunSmallInPlace, NEElementwiseMaxQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(),
177 ElementwiseMaxQASYMM8SignedDataset),
178 framework::dataset::make("QuantizationInfo", { QuantizationInfo(10.f, -20) })),
179 framework::dataset::make("QuantizationInfo", { QuantizationInfo(10.f, -20) })),
180 framework::dataset::make("QuantizationInfo", { QuantizationInfo(10.f, -20) })),
181 InPlaceDataSet))
182 {
183 // Validate output
184 validate(Accessor(_target), _reference, tolerance_qasymm8_signed);
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, NEElementwiseMaxFixture<half>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ElementwiseMaxFP16Dataset),
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, NEElementwiseMaxFixture<float>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ElementwiseMaxFP32Dataset),
204 InPlaceDataSet))
205 {
206 // Validate output
207 validate(Accessor(_target), _reference);
208 }
209 template <typename T>
210 using NEElementwiseMaxBroadcastFixture = ElementwiseMaxBroadcastValidationFixture<Tensor, Accessor, NEElementwiseMax, T>;
211
FIXTURE_DATA_TEST_CASE(RunSmallBroadcast,NEElementwiseMaxBroadcastFixture<float>,framework::DatasetMode::ALL,combine (combine (datasets::SmallShapesBroadcast (),ElementwiseMaxFP32Dataset),OutOfPlaceDataSet))212 FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEElementwiseMaxBroadcastFixture<float>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapesBroadcast(),
213 ElementwiseMaxFP32Dataset),
214 OutOfPlaceDataSet))
215 {
216 // Validate output
217 validate(Accessor(_target), _reference);
218 }
FIXTURE_DATA_TEST_CASE(RunTinyBroadcastInPlace,NEElementwiseMaxBroadcastFixture<float>,framework::DatasetMode::ALL,combine (combine (datasets::TinyShapesBroadcastInplace (),ElementwiseMaxFP32Dataset),InPlaceDataSet))219 FIXTURE_DATA_TEST_CASE(RunTinyBroadcastInPlace, NEElementwiseMaxBroadcastFixture<float>, framework::DatasetMode::ALL, combine(combine(datasets::TinyShapesBroadcastInplace(),
220 ElementwiseMaxFP32Dataset),
221 InPlaceDataSet))
222 {
223 // Validate output
224 validate(Accessor(_target), _reference);
225 }
226 TEST_SUITE_END() // F32
227 TEST_SUITE_END() // Float
228
229 TEST_SUITE_END() // ElementwiseMax
230 TEST_SUITE_END() // Neon
231 } // namespace validation
232 } // namespace test
233 } // namespace arm_compute
234