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/PaddingCalculator.h"
30 #include "tests/datasets/ShapeDatasets.h"
31 #include "tests/framework/Asserts.h"
32 #include "tests/framework/Macros.h"
33 #include "tests/framework/datasets/Datasets.h"
34 #include "tests/validation/Validation.h"
35 #include "tests/validation/fixtures/ElementwiseOperationsFixture.h"
36
37 namespace arm_compute
38 {
39 namespace test
40 {
41 namespace validation
42 {
43 namespace
44 {
45 RelativeTolerance<float> tolerance_fp32(0.000001f);
46 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
47 RelativeTolerance<float> tolerance_fp16(0.01f);
48 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
49
50 /** Input data sets **/
51 const auto ElementwiseSquaredDiffQASYMM8Dataset = combine(combine(framework::dataset::make("DataType", DataType::QASYMM8), framework::dataset::make("DataType", DataType::QASYMM8)),
52 framework::dataset::make("DataType",
53 DataType::QASYMM8));
54
55 const auto ElementwiseSquaredDiffQASYMM8SignedDataset = combine(combine(framework::dataset::make("DataType", DataType::QASYMM8_SIGNED), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)),
56 framework::dataset::make("DataType",
57 DataType::QASYMM8_SIGNED));
58
59 /** Input data sets **/
60 const auto ElementwiseSquaredDiffS32Dataset = combine(combine(framework::dataset::make("DataType", DataType::S32), framework::dataset::make("DataType", DataType::S32)),
61 framework::dataset::make("DataType",
62 DataType::S32));
63 const auto ElementwiseSquaredDiffS16Dataset = combine(combine(framework::dataset::make("DataType", { DataType::S16 }), framework::dataset::make("DataType", DataType::S16)),
64 framework::dataset::make("DataType", DataType::S16));
65 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
66 const auto ElementwiseSquaredDiffFP16Dataset = combine(combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::F16)),
67 framework::dataset::make("DataType", DataType::F16));
68 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
69 const auto ElementwiseSquaredDiffFP32Dataset = combine(combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::F32)),
70 framework::dataset::make("DataType", DataType::F32));
71 const auto InPlaceDataSet = framework::dataset::make("InPlace", { false, true });
72 const auto OutOfPlaceDataSet = framework::dataset::make("InPlace", { false });
73 } // namespace
74
75 TEST_SUITE(NEON)
76 TEST_SUITE(ElementwiseSquaredDiff)
77
78 template <typename T>
79 using NEElementwiseSquaredDiffFixture = ElementwiseSquaredDiffValidationFixture<Tensor, Accessor, NEElementwiseSquaredDiff, T>;
80
81 // *INDENT-OFF*
82 // clang-format off
83 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
84 framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
85 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32),
86 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S32),
87 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), // Invalid data type combination
88 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Mismatching shapes
89 TensorInfo(TensorShape(1U, 1U, 2U), 1, DataType::QASYMM8_SIGNED), // Mismatching types
90 }),
91 framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
92 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32),
93 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S32),
94 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16),
95 TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
96 TensorInfo(TensorShape(1U, 1U, 2U), 1, DataType::QASYMM8_SIGNED),
97 })),
98 framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
99 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32),
100 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S32),
101 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32),
102 TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
103 TensorInfo(TensorShape(1U, 1U, 2U), 1, DataType::QASYMM8, QuantizationInfo(0.3f,1)),
104 })),
105 framework::dataset::make("Expected", { true, true, true, false, false, false})),
106 input1_info, input2_info, output_info, expected)
107 {
108 ARM_COMPUTE_EXPECT(bool(NEElementwiseSquaredDiff::validate(&input1_info.clone()->set_is_resizable(false), &input2_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false))) == expected, framework::LogLevel::ERRORS);
109 }
110 // clang-format on
111 // *INDENT-ON*
112
113 TEST_SUITE(S32)
FIXTURE_DATA_TEST_CASE(RunSmall,NEElementwiseSquaredDiffFixture<int32_t>,framework::DatasetMode::PRECOMMIT,combine (combine (datasets::SmallShapes (),ElementwiseSquaredDiffS32Dataset),InPlaceDataSet))114 FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseSquaredDiffFixture<int32_t>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ElementwiseSquaredDiffS32Dataset),
115 InPlaceDataSet))
116 {
117 // Validate output
118 validate(Accessor(_target), _reference);
119 }
120 TEST_SUITE_END() // S32
121
TEST_SUITE(S16)122 TEST_SUITE(S16)
123 FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseSquaredDiffFixture<int16_t>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ElementwiseSquaredDiffS16Dataset),
124 InPlaceDataSet))
125 {
126 // Validate output
127 validate(Accessor(_target), _reference);
128 }
129 TEST_SUITE_END() // S16
130
131 template <typename T>
132 using NEElementwiseSquaredDiffQuantizedFixture = ElementwiseSquaredDiffValidationQuantizedFixture<Tensor, Accessor, NEElementwiseSquaredDiff, T>;
133
134 TEST_SUITE(Quantized)
TEST_SUITE(QASYMM8)135 TEST_SUITE(QASYMM8)
136 FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseSquaredDiffQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(),
137 ElementwiseSquaredDiffQASYMM8Dataset),
138 framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) })),
139 framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255.f, 10) })),
140 framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 255.f, 5) })),
141 OutOfPlaceDataSet))
142 {
143 // Validate output
144 validate(Accessor(_target), _reference, tolerance_fp32, 0.01);
145 }
146 template <typename T>
147 using NEElementwiseSquaredDiffQuantizedBroadcastFixture = ElementwiseSquaredDiffQuantizedBroadcastValidationFixture<Tensor, Accessor, NEElementwiseSquaredDiff, T>;
148
149 FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEElementwiseSquaredDiffQuantizedBroadcastFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
150 combine(combine(combine(combine(combine(datasets::SmallShapesBroadcast(),
151 ElementwiseSquaredDiffQASYMM8Dataset),
152 framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) })),
153 framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255.f, 10) })),
154 framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 255.f, 5) })),
155 OutOfPlaceDataSet))
156 {
157 // Validate output
158 validate(Accessor(_target), _reference);
159 }
160 FIXTURE_DATA_TEST_CASE(RunTinyBroadcastInPlace, NEElementwiseSquaredDiffQuantizedBroadcastFixture<uint8_t>, framework::DatasetMode::ALL,
161 combine(combine(combine(combine(combine(datasets::TinyShapesBroadcastInplace(),
162 ElementwiseSquaredDiffQASYMM8Dataset),
163 framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) })),
164 framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) })),
165 framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) })),
166 InPlaceDataSet))
167 {
168 // Validate output
169 validate(Accessor(_target), _reference);
170 }
171 TEST_SUITE_END()
172
TEST_SUITE(QASYMM8_SIGNED)173 TEST_SUITE(QASYMM8_SIGNED)
174 FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseSquaredDiffQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(),
175 ElementwiseSquaredDiffQASYMM8SignedDataset),
176 framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f, 5) })),
177 framework::dataset::make("QuantizationInfo", { QuantizationInfo(.5f, 5) })),
178 framework::dataset::make("QuantizationInfo", { QuantizationInfo(.2f, 5) })),
179 OutOfPlaceDataSet))
180 {
181 // Validate output
182 validate(Accessor(_target), _reference);
183 }
184 TEST_SUITE_END()
TEST_SUITE_END()185 TEST_SUITE_END()
186
187 TEST_SUITE(Float)
188 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
189 TEST_SUITE(F16)
190 FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseSquaredDiffFixture<half>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ElementwiseSquaredDiffFP16Dataset),
191 InPlaceDataSet))
192 {
193 // Validate output
194 validate(Accessor(_target), _reference, tolerance_fp16, 0.01);
195 }
196 TEST_SUITE_END() // F16
197 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
198
TEST_SUITE(F32)199 TEST_SUITE(F32)
200 FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseSquaredDiffFixture<float>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ElementwiseSquaredDiffFP32Dataset),
201 InPlaceDataSet))
202 {
203 // Validate output
204 validate(Accessor(_target), _reference);
205 }
206 template <typename T>
207 using NEElementwiseSquaredDiffBroadcastFixture = ElementwiseSquaredDiffBroadcastValidationFixture<Tensor, Accessor, NEElementwiseSquaredDiff, T>;
208
FIXTURE_DATA_TEST_CASE(RunSmallBroadcast,NEElementwiseSquaredDiffBroadcastFixture<float>,framework::DatasetMode::PRECOMMIT,combine (combine (datasets::SmallShapesBroadcast (),ElementwiseSquaredDiffFP32Dataset),OutOfPlaceDataSet))209 FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEElementwiseSquaredDiffBroadcastFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapesBroadcast(),
210 ElementwiseSquaredDiffFP32Dataset),
211 OutOfPlaceDataSet))
212 {
213 // Validate output
214 validate(Accessor(_target), _reference);
215 }
216
FIXTURE_DATA_TEST_CASE(RunLargeBroadcast,NEElementwiseSquaredDiffBroadcastFixture<float>,framework::DatasetMode::NIGHTLY,combine (combine (datasets::LargeShapesBroadcast (),ElementwiseSquaredDiffFP32Dataset),OutOfPlaceDataSet))217 FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, NEElementwiseSquaredDiffBroadcastFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapesBroadcast(),
218 ElementwiseSquaredDiffFP32Dataset),
219 OutOfPlaceDataSet))
220 {
221 // Validate output
222 validate(Accessor(_target), _reference);
223 }
224 TEST_SUITE_END() // F32
225 TEST_SUITE_END() // Float
226
227 TEST_SUITE_END() // ElementwiseSquaredDiff
228 TEST_SUITE_END() // Neon
229 } // namespace validation
230 } // namespace test
231 } // namespace arm_compute
232