1 /*
2 * Copyright (c) 2017-2021 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/NEPoolingLayer.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/PoolingLayerDataset.h"
31 #include "tests/datasets/PoolingTypesDataset.h"
32 #include "tests/datasets/ShapeDatasets.h"
33 #include "tests/framework/Asserts.h"
34 #include "tests/framework/Macros.h"
35 #include "tests/framework/datasets/Datasets.h"
36 #include "tests/validation/Validation.h"
37 #include "tests/validation/fixtures/PoolingLayerFixture.h"
38 namespace arm_compute
39 {
40 namespace test
41 {
42 namespace validation
43 {
44 namespace
45 {
46 /** Input data sets for float data types */
47
48 const auto PoolingLayerDatasetFP = combine(combine(combine(datasets::PoolingTypes(), framework::dataset::make("PoolingSize", { Size2D(2, 2), Size2D(3, 3), Size2D(7, 7), Size2D(3, 7), Size2D(7, 8) })),
49 framework::dataset::make("PadStride", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 2, 1, 1), PadStrideInfo(2, 2, 1, 0) })),
50 framework::dataset::make("ExcludePadding", { true, false }));
51 const auto PoolingLayerDatasetFPSmall = combine(combine(combine(datasets::PoolingTypes(), framework::dataset::make("PoolingSize", { Size2D(2, 2), Size2D(3, 3) })),
52 framework::dataset::make("PadStride", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0) })),
53 framework::dataset::make("ExcludePadding", { true, false }));
54
55 /** Input data sets for asymmetric data type */
56
57 const auto PoolingLayerDatasetQASYMM8Small = combine(combine(combine(framework::dataset::make("PoolingType", { PoolingType::MAX, PoolingType::AVG }), framework::dataset::make("PoolingSize", { Size2D(2, 2), Size2D(3, 3), Size2D(3, 7), Size2D(7, 7) })),
58 framework::dataset::make("PadStride", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 2, 1, 1) })),
59 framework::dataset::make("ExcludePadding", { true }));
60
61 constexpr AbsoluteTolerance<float> tolerance_f32(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for float types */
62 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
63 constexpr AbsoluteTolerance<float> tolerance_f16(0.01f); /**< Tolerance value for comparing reference's output against implementation's output for float types */
64 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
65 constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1); /**< Tolerance value for comparing reference's output against implementation's output for unsigned 8-bit asymmetric type */
66 constexpr AbsoluteTolerance<int8_t> tolerance_qasymm8_s(1); /**< Tolerance value for comparing reference's output against implementation's output for signed 8-bit asymmetric type */
67 const auto pool_data_layout_dataset = framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC });
68
69 const auto qasymm8_in_qinfo_dataset = framework::dataset::make("InputQuantInfo", { QuantizationInfo(.2f, 10) });
70 const auto qasymm8_out_qinfo_dataset = framework::dataset::make("OutputQuantInfo",
71 {
72 QuantizationInfo(.2f, 10), // Same qinfo
73 QuantizationInfo(.1f, 5), // Multiplier <= 1
74 QuantizationInfo(2.f, 3) // Multiplier > 1
75 });
76
77 const auto qasymm8_signed_in_qinfo_dataset = framework::dataset::make("InputQuantInfo", { QuantizationInfo(.2f, -10) });
78 const auto qasymm8_signed_out_qinfo_dataset = framework::dataset::make("OutputQuantInfo",
79 {
80 QuantizationInfo(.2f, -10), // Same qinfo
81 QuantizationInfo(.1f, -5), // Multiplier <= 1
82 QuantizationInfo(2.f, -3) // Multiplier > 1
83 });
84
85 // Cases where pooling region is completely outside the input tensor (excluding global pooling)
86 const auto pool_outside_input_dataset = zip(zip(zip(zip(
87 framework::dataset::make("Shape", { TensorShape{ 2U, 2U, 1U }, TensorShape{ 2U, 2U, 4U }, TensorShape{ 3U, 5U, 2U }, TensorShape{ 10U, 20U, 3U } }),
88 framework::dataset::make("PoolingType", { PoolingType::MAX, PoolingType::AVG, PoolingType::L2, PoolingType::MAX })),
89 framework::dataset::make("PoolingSize", { Size2D{ 2, 2 }, Size2D{ 3, 3 }, Size2D{ 2, 2 }, Size2D{ 3, 6 } })),
90 framework::dataset::make("PadStride", { PadStrideInfo{ 1, 1, 2, 2 }, PadStrideInfo{ 1, 1, 4, 4 }, PadStrideInfo{ 1, 1, 3, 3 }, PadStrideInfo{ 1, 1, 2, 5 } })),
91 framework::dataset::make("ExcludePadding", { false, false, false, false }));
92 } // namespace
93
94 TEST_SUITE(NEON)
TEST_SUITE(PoolingLayer)95 TEST_SUITE(PoolingLayer)
96
97 // *INDENT-OFF*
98 // clang-format off
99 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
100 framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data type
101 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Window shrink
102 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid pad/size combination
103 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid pad/size combination
104 TensorInfo(TensorShape(15U, 13U, 5U), 1, DataType::F32), // Non-rectangular Global Pooling
105 TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32), // Invalid output Global Pooling
106 TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::QASYMM8), // Invalid exclude_padding = false with quantized type, no actual padding and NHWC
107 TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32),
108 TensorInfo(TensorShape(1U, 16U, 1U), 1, DataType::F32),
109 }),
110 framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16),
111 TensorInfo(TensorShape(25U, 10U, 2U), 1, DataType::F32),
112 TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32),
113 TensorInfo(TensorShape(25U, 16U, 2U), 1, DataType::F32),
114 TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32),
115 TensorInfo(TensorShape(2U, 2U, 5U), 1, DataType::F32),
116 TensorInfo(TensorShape(12U, 12U, 5U), 1, DataType::QASYMM8),
117 TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32),
118 TensorInfo(TensorShape(1U, 15U, 1U), 1, DataType::F32),
119 })),
120 framework::dataset::make("PoolInfo", { PoolingLayerInfo(PoolingType::AVG, 3, DataLayout::NCHW, PadStrideInfo(1, 1, 0, 0)),
121 PoolingLayerInfo(PoolingType::AVG, 3, DataLayout::NCHW, PadStrideInfo(1, 1, 0, 0)),
122 PoolingLayerInfo(PoolingType::AVG, 2, DataLayout::NCHW, PadStrideInfo(1, 1, 2, 0)),
123 PoolingLayerInfo(PoolingType::AVG, 2, DataLayout::NCHW, PadStrideInfo(1, 1, 0, 2)),
124 PoolingLayerInfo(PoolingType::AVG, DataLayout::NCHW),
125 PoolingLayerInfo(PoolingType::MAX, DataLayout::NCHW),
126 PoolingLayerInfo(PoolingType::AVG, 2, DataLayout::NHWC, PadStrideInfo(), false),
127 PoolingLayerInfo(PoolingType::AVG, DataLayout::NCHW),
128 PoolingLayerInfo(PoolingType::MAX, 2, DataLayout::NHWC, PadStrideInfo(1, 1, 0, 0), false),
129 })),
130 framework::dataset::make("Expected", { false, false, false, false, true, false, true, false, false})),
131 input_info, output_info, pool_info, expected)
132 {
133 bool is_valid = bool(NEPoolingLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), pool_info));
134 ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
135 }
136 // clang-format on
137 // *INDENT-ON*
138
139 template <typename T>
140 using NEPoolingLayerIndicesFixture = PoolingLayerIndicesValidationFixture<Tensor, Accessor, NEPoolingLayer, T>;
141
142 template <typename T>
143 using NEPoolingLayerFixture = PoolingLayerValidationFixture<Tensor, Accessor, NEPoolingLayer, T>;
144 template <typename T>
145 using NEPoolingLayerMixedDataLayoutFixture = PoolingLayerValidationFixture<Tensor, Accessor, NEPoolingLayer, T, true>;
146
147 template <typename T>
148 using NESpecialPoolingLayerFixture = SpecialPoolingLayerValidationFixture<Tensor, Accessor, NEPoolingLayer, T>;
149
150 const auto PoolingLayerIndicesDatasetFPSmall = combine(combine(combine(framework::dataset::make("PoolType", { PoolingType::MAX }), framework::dataset::make("PoolingSize", { Size2D(2, 2) })),
151 framework::dataset::make("PadStride", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0) })),
152 framework::dataset::make("ExcludePadding", { true, false }));
153
154 TEST_SUITE(Float)
TEST_SUITE(FP32)155 TEST_SUITE(FP32)
156 FIXTURE_DATA_TEST_CASE(RunIndices, NEPoolingLayerIndicesFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallNoneUnitShapes(), combine(PoolingLayerIndicesDatasetFPSmall,
157 framework::dataset::make("DataType",
158 DataType::F32))),
159 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
160 {
161 // Validate output
162 validate(Accessor(_target), _reference, tolerance_f32);
163 validate(Accessor(_target_indices), _ref_indices);
164 }
165 FIXTURE_DATA_TEST_CASE(RunSpecial, NESpecialPoolingLayerFixture<float>, framework::DatasetMode::ALL, datasets::PoolingLayerDatasetSpecial() * framework::dataset::make("DataType", DataType::F32))
166 {
167 // Validate output
168 validate(Accessor(_target), _reference, tolerance_f32);
169 }
170 FIXTURE_DATA_TEST_CASE(RunSmall, NEPoolingLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallNoneUnitShapes(), combine(PoolingLayerDatasetFPSmall,
171 framework::dataset::make("DataType",
172 DataType::F32))),
173 pool_data_layout_dataset))
174 {
175 // Validate output
176 validate(Accessor(_target), _reference, tolerance_f32);
177 }
178 FIXTURE_DATA_TEST_CASE(RunMixedDataLayout, NEPoolingLayerMixedDataLayoutFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallNoneUnitShapes(),
179 combine(combine(combine(combine(datasets::PoolingTypes(),
180 framework::dataset::make("PoolingSize", { Size2D(2, 2) })),
181 framework::dataset::make("PadStride", { PadStrideInfo(2, 1, 0, 0) })),
182 framework::dataset::make("ExcludePadding", { false })),
183 framework::dataset::make("DataType", DataType::F32))),
184 pool_data_layout_dataset))
185 {
186 // Validate output
187 validate(Accessor(_target), _reference, tolerance_f32);
188 }
189 FIXTURE_DATA_TEST_CASE(RunLarge, NEPoolingLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetFP,
190 framework::dataset::make("DataType",
191 DataType::F32))),
192 pool_data_layout_dataset))
193 {
194 // Validate output
195 validate(Accessor(_target), _reference, tolerance_f32);
196 }
197 TEST_SUITE(CornerCases)
198 FIXTURE_DATA_TEST_CASE(PoolRegionCompletelyOutsideInput, NEPoolingLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(pool_outside_input_dataset,
199 framework::dataset::make("DataType",
200 DataType::F32)),
201 pool_data_layout_dataset))
202 {
203 // Validate output
204 validate(Accessor(_target), _reference, tolerance_f32);
205 }
206 TEST_SUITE_END() // CornerCases
TEST_SUITE_END()207 TEST_SUITE_END() // FP32
208
209 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
210 TEST_SUITE(FP16)
211 FIXTURE_DATA_TEST_CASE(RunIndices, NEPoolingLayerIndicesFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallNoneUnitShapes(), combine(PoolingLayerIndicesDatasetFPSmall,
212 framework::dataset::make("DataType",
213 DataType::F16))),
214 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
215 {
216 // Validate output
217 validate(Accessor(_target), _reference, tolerance_f16);
218 validate(Accessor(_target_indices), _ref_indices);
219 }
220 FIXTURE_DATA_TEST_CASE(RunSmall, NEPoolingLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallNoneUnitShapes(), combine(PoolingLayerDatasetFPSmall,
221 framework::dataset::make("DataType", DataType::F16))),
222 pool_data_layout_dataset))
223 {
224 // Validate output
225 validate(Accessor(_target), _reference, tolerance_f16);
226 }
227 FIXTURE_DATA_TEST_CASE(RunLarge, NEPoolingLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetFP,
228 framework::dataset::make("DataType", DataType::F16))),
229 pool_data_layout_dataset))
230 {
231 // Validate output
232 validate(Accessor(_target), _reference, tolerance_f16);
233 }
234 TEST_SUITE(CornerCases)
235 FIXTURE_DATA_TEST_CASE(PoolRegionCompletelyOutsideInput, NEPoolingLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(pool_outside_input_dataset,
236 framework::dataset::make("DataType",
237 DataType::F16)),
238 pool_data_layout_dataset))
239 {
240 // Validate output
241 validate(Accessor(_target), _reference, tolerance_f16);
242 }
243 TEST_SUITE_END() // CornerCases
244 TEST_SUITE_END() // FP16
245 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
246 TEST_SUITE_END() // Float
247
248 TEST_SUITE(Quantized)
249
250 template <typename T>
251 using NEPoolingLayerQuantizedFixture = PoolingLayerValidationQuantizedFixture<Tensor, Accessor, NEPoolingLayer, T>;
252 template <typename T>
253 using NEPoolingLayerQuantizedMixedDataLayoutFixture = PoolingLayerValidationQuantizedFixture<Tensor, Accessor, NEPoolingLayer, T, true>;
254
255 TEST_SUITE(QASYMM8)
256 FIXTURE_DATA_TEST_CASE(RunSmallNCHW, NEPoolingLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallNoneUnitShapes(),
257 combine(PoolingLayerDatasetQASYMM8Small,
258 framework::dataset::make("DataType", DataType::QASYMM8))),
259 framework::dataset::make("DataLayout", { DataLayout::NCHW })),
260 qasymm8_in_qinfo_dataset),
261 qasymm8_in_qinfo_dataset))
262 {
263 // Validate output
264 validate(Accessor(_target), _reference, tolerance_qasymm8);
265 }
266 FIXTURE_DATA_TEST_CASE(RunSmall, NEPoolingLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallNoneUnitShapes(),
267 combine(PoolingLayerDatasetQASYMM8Small,
268 framework::dataset::make("DataType", DataType::QASYMM8))),
269 framework::dataset::make("DataLayout", { DataLayout::NHWC })),
270 qasymm8_in_qinfo_dataset),
271 qasymm8_out_qinfo_dataset))
272 {
273 // Validate output
274 validate(Accessor(_target), _reference, tolerance_qasymm8);
275 }
276 FIXTURE_DATA_TEST_CASE(RunMixedDataLayout, NEPoolingLayerQuantizedMixedDataLayoutFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallNoneUnitShapes(),
277 combine(combine(combine(combine(framework::dataset::make("PoolingType", { PoolingType::MAX, PoolingType::AVG }),
278 framework::dataset::make("PoolingSize", { Size2D(2, 2) })),
279 framework::dataset::make("PadStride", { PadStrideInfo(1, 2, 1, 1) })),
280 framework::dataset::make("ExcludePadding", { true })),
281 framework::dataset::make("DataType", DataType::QASYMM8))),
282 framework::dataset::make("DataLayout", { DataLayout::NHWC, DataLayout::NCHW })),
283 framework::dataset::make("InputQuantInfo", { QuantizationInfo(1.f / 255.f, 10) })),
284 framework::dataset::make("OutputQuantInfo", { QuantizationInfo(1.f / 255.f, 5) })))
285 {
286 // Validate output
287 validate(Accessor(_target), _reference, tolerance_qasymm8);
288 }
289 TEST_SUITE_END() // QASYMM8
TEST_SUITE(QASYMM8_SIGNED)290 TEST_SUITE(QASYMM8_SIGNED)
291 FIXTURE_DATA_TEST_CASE(RunSmall, NEPoolingLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallNoneUnitShapes(),
292 combine(PoolingLayerDatasetQASYMM8Small,
293 framework::dataset::make("DataType", DataType::QASYMM8_SIGNED))),
294 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
295 qasymm8_signed_in_qinfo_dataset),
296 qasymm8_signed_in_qinfo_dataset))
297 {
298 // Validate output
299 validate(Accessor(_target), _reference, tolerance_qasymm8_s);
300 }
301 FIXTURE_DATA_TEST_CASE(RunMixedDataLayout, NEPoolingLayerQuantizedMixedDataLayoutFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallNoneUnitShapes(),
302 combine(combine(combine(combine(framework::dataset::make("PoolingType", { PoolingType::MAX, PoolingType::AVG }),
303 framework::dataset::make("PoolingSize", { Size2D(2, 2) })),
304 framework::dataset::make("PadStride", { PadStrideInfo(1, 2, 1, 1) })),
305 framework::dataset::make("ExcludePadding", { true })),
306 framework::dataset::make("DataType", DataType::QASYMM8_SIGNED))),
307 framework::dataset::make("DataLayout", { DataLayout::NHWC, DataLayout::NCHW })),
308 framework::dataset::make("InputQuantInfo", { QuantizationInfo(1.f / 127.f, -10) })),
309 framework::dataset::make("OutputQuantInfo", { QuantizationInfo(1.f / 127.f, -10) })))
310 {
311 // Validate output
312 validate(Accessor(_target), _reference, tolerance_qasymm8_s);
313 }
314 TEST_SUITE_END() // QASYMM8_SIGNED
315 TEST_SUITE_END() // Quantized
316 TEST_SUITE_END() // PoolingLayer
317 TEST_SUITE_END() // Neon
318 } // namespace validation
319 } // namespace test
320 } // namespace arm_compute
321