2 * Copyright (c) 2017-2018 ARM Limited.
4 * SPDX-License-Identifier: MIT
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:
13 * The above copyright notice and this permission notice shall be included in all
14 * copies or substantial portions of the Software.
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
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"
47 /** Input data set for float data types */
49 const auto PoolingLayerDatasetFP = combine(combine(combine(datasets::PoolingTypes(), framework::dataset::make("PoolingSize", { Size2D(2, 2), Size2D(3, 3), Size2D(7, 7), Size2D(9, 9), Size2D(4, 4), Size2D(3, 7), Size2D(7, 8) })),
50 framework::dataset::make("PadStride", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(1, 2, 1, 1), PadStrideInfo(2, 2, 1, 0) })),
51 framework::dataset::make("ExcludePadding", { true, false }));
53 /** Input data set for quantized data types */
54 const auto PoolingLayerDatasetQS = combine(combine(combine(framework::dataset::make("PoolingType", { PoolingType::MAX, PoolingType::AVG }), framework::dataset::make("PoolingSize", { Size2D(2, 2), Size2D(3, 3) })),
55 framework::dataset::make("PadStride", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(1, 2, 1, 1), PadStrideInfo(2, 2, 1, 0) })),
56 framework::dataset::make("ExcludePadding", { false }));
58 /** Input data set for asymmetric data type */
60 const auto PoolingLayerDatasetQASYMM8 = combine(combine(combine(framework::dataset::make("PoolingType", { PoolingType::MAX, PoolingType::AVG }), framework::dataset::make("PoolingSize", { Size2D(2, 2), Size2D(3, 3), Size2D(4, 4), Size2D(9, 9), Size2D(3, 7), Size2D(7, 8) })),
61 framework::dataset::make("PadStride", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(1, 2, 1, 1), PadStrideInfo(2, 2, 1, 0) })),
62 framework::dataset::make("ExcludePadding", { true, false }));
64 constexpr AbsoluteTolerance<float> tolerance_f32(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for float types */
65 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
66 constexpr AbsoluteTolerance<float> tolerance_f16(0.01f); /**< Tolerance value for comparing reference's output against implementation's output for float types */
67 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
68 constexpr AbsoluteTolerance<float> tolerance_qs8(0); /**< Tolerance value for comparing reference's output against implementation's output for quantized input */
69 constexpr AbsoluteTolerance<float> tolerance_qs16(0); /**< Tolerance value for comparing reference's output against implementation's output for quantized input */
70 constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1); /**< Tolerance value for comparing reference's output against implementation's output for 8-bit asymmetric type */
74 TEST_SUITE(PoolingLayer)
78 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
79 framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Mismatching data type
80 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Window shrink
81 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 4), // Mismatching fixed point position
82 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS16, 11), // Window shrink
83 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Invalid pad/size combination
84 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Invalid pad/size combination
85 TensorInfo(TensorShape(15U, 13U, 5U), 1, DataType::F32, 0), // Non-rectangular Global Pooling
86 TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32, 0), // Invalid output Global Pooling
87 TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32, 0),
89 framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16, 0),
90 TensorInfo(TensorShape(25U, 10U, 2U), 1, DataType::F32, 0),
91 TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::QS8, 5),
92 TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::QS16, 11),
93 TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32, 0),
94 TensorInfo(TensorShape(25U, 16U, 2U), 1, DataType::F32, 0),
95 TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32, 0),
96 TensorInfo(TensorShape(2U, 2U, 5U), 1, DataType::F32, 0),
97 TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0),
99 framework::dataset::make("PoolInfo", { PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)),
100 PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)),
101 PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)),
102 PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)),
103 PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 2, 0)),
104 PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 0, 2)),
105 PoolingLayerInfo(PoolingType::AVG),
106 PoolingLayerInfo(PoolingType::MAX),
107 PoolingLayerInfo(PoolingType::AVG),
109 framework::dataset::make("Expected", { false, false, false, false, false, false, true, false, false, true })),
110 input_info, output_info, pool_info, expected)
112 bool is_valid = bool(NEPoolingLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), pool_info));
113 ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
118 template <typename T>
119 using NEPoolingLayerFixture = PoolingLayerValidationFixture<Tensor, Accessor, NEPoolingLayer, T>;
121 template <typename T>
122 using NESpecialPoolingLayerFixture = SpecialPoolingLayerValidationFixture<Tensor, Accessor, NEPoolingLayer, T>;
126 FIXTURE_DATA_TEST_CASE(RunSpecial, NESpecialPoolingLayerFixture<float>, framework::DatasetMode::ALL, datasets::PoolingLayerDatasetSpecial() * framework::dataset::make("DataType", DataType::F32))
129 validate(Accessor(_target), _reference, tolerance_f32);
131 FIXTURE_DATA_TEST_CASE(RunSmall, NEPoolingLayerFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), combine(PoolingLayerDatasetFP, framework::dataset::make("DataType",
135 validate(Accessor(_target), _reference, tolerance_f32);
137 FIXTURE_DATA_TEST_CASE(RunLarge, NEPoolingLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), combine(PoolingLayerDatasetFP, framework::dataset::make("DataType",
141 validate(Accessor(_target), _reference, tolerance_f32);
145 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
147 FIXTURE_DATA_TEST_CASE(RunSmall, NEPoolingLayerFixture<half>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), combine(PoolingLayerDatasetFP,
148 framework::dataset::make("DataType", DataType::F16))))
151 validate(Accessor(_target), _reference, tolerance_f16);
153 FIXTURE_DATA_TEST_CASE(RunLarge, NEPoolingLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), combine(PoolingLayerDatasetFP,
154 framework::dataset::make("DataType", DataType::F16))))
157 validate(Accessor(_target), _reference, tolerance_f16);
160 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
163 template <typename T>
164 using NEPoolingLayerFixedPointFixture = PoolingLayerValidationFixedPointFixture<Tensor, Accessor, NEPoolingLayer, T>;
166 TEST_SUITE(FixedPoint)
168 FIXTURE_DATA_TEST_CASE(RunTiny, NEPoolingLayerFixedPointFixture<int8_t>, framework::DatasetMode::ALL, combine(combine(datasets::TinyShapes(), combine(PoolingLayerDatasetQS,
169 framework::dataset::make("DataType", DataType::QS8))),
170 framework::dataset::make("FractionalBits", 1, 5)))
173 validate(Accessor(_target), _reference, tolerance_qs8);
175 FIXTURE_DATA_TEST_CASE(RunSmall, NEPoolingLayerFixedPointFixture<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetQS,
176 framework::dataset::make("DataType", DataType::QS8))),
177 framework::dataset::make("FractionalBits", 1, 5)))
180 validate(Accessor(_target), _reference, tolerance_qs8);
185 FIXTURE_DATA_TEST_CASE(RunTiny, NEPoolingLayerFixedPointFixture<int16_t>, framework::DatasetMode::ALL, combine(combine(datasets::TinyShapes(), combine(PoolingLayerDatasetQS,
186 framework::dataset::make("DataType", DataType::QS16))),
187 framework::dataset::make("FractionalBits", 1, 13)))
190 validate(Accessor(_target), _reference, tolerance_qs16);
192 FIXTURE_DATA_TEST_CASE(RunSmall, NEPoolingLayerFixedPointFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetQS,
193 framework::dataset::make("DataType", DataType::QS16))),
194 framework::dataset::make("FractionalBits", 1, 13)))
197 validate(Accessor(_target), _reference, tolerance_qs16);
202 TEST_SUITE(Quantized)
204 template <typename T>
205 using NEPoolingLayerQuantizedFixture = PoolingLayerValidationQuantizedFixture<Tensor, Accessor, NEPoolingLayer, T>;
208 FIXTURE_DATA_TEST_CASE(RunSmall, NEPoolingLayerQuantizedFixture<uint8_t>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetQASYMM8,
209 framework::dataset::make("DataType", DataType::QASYMM8))),
210 framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255, 127),
211 QuantizationInfo(7.f / 255, 123)
215 validate(Accessor(_target), _reference, tolerance_qasymm8);
217 FIXTURE_DATA_TEST_CASE(RunLarge, NEPoolingLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetQASYMM8,
218 framework::dataset::make("DataType", DataType::QASYMM8))),
219 framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 255, 0) })))
222 validate(Accessor(_target), _reference, tolerance_qasymm8);
229 } // namespace validation
231 } // namespace arm_compute