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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 }));
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(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetFP, framework::dataset::make("DataType",
133 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
136 validate(Accessor(_target), _reference, tolerance_f32);
138 FIXTURE_DATA_TEST_CASE(RunLarge, NEPoolingLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetFP,
139 framework::dataset::make("DataType",
141 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
144 validate(Accessor(_target), _reference, tolerance_f32);
146 TEST_SUITE_END() // FP32
148 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
150 FIXTURE_DATA_TEST_CASE(RunSmall, NEPoolingLayerFixture<half>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetFP,
151 framework::dataset::make("DataType", DataType::F16))),
152 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
155 validate(Accessor(_target), _reference, tolerance_f16);
157 FIXTURE_DATA_TEST_CASE(RunLarge, NEPoolingLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetFP,
158 framework::dataset::make("DataType", DataType::F16))),
159 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
162 validate(Accessor(_target), _reference, tolerance_f16);
164 TEST_SUITE_END() // FP16
165 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
166 TEST_SUITE_END() // Float
168 template <typename T>
169 using NEPoolingLayerFixedPointFixture = PoolingLayerValidationFixedPointFixture<Tensor, Accessor, NEPoolingLayer, T>;
171 TEST_SUITE(FixedPoint)
173 FIXTURE_DATA_TEST_CASE(RunTiny, NEPoolingLayerFixedPointFixture<int8_t>, framework::DatasetMode::ALL, combine(combine(datasets::TinyShapes(), combine(PoolingLayerDatasetQS,
174 framework::dataset::make("DataType", DataType::QS8))),
175 framework::dataset::make("FractionalBits", 1, 5)))
178 validate(Accessor(_target), _reference, tolerance_qs8);
180 FIXTURE_DATA_TEST_CASE(RunSmall, NEPoolingLayerFixedPointFixture<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetQS,
181 framework::dataset::make("DataType", DataType::QS8))),
182 framework::dataset::make("FractionalBits", 1, 5)))
185 validate(Accessor(_target), _reference, tolerance_qs8);
187 TEST_SUITE_END() // QS8
190 FIXTURE_DATA_TEST_CASE(RunTiny, NEPoolingLayerFixedPointFixture<int16_t>, framework::DatasetMode::ALL, combine(combine(datasets::TinyShapes(), combine(PoolingLayerDatasetQS,
191 framework::dataset::make("DataType", DataType::QS16))),
192 framework::dataset::make("FractionalBits", 1, 13)))
195 validate(Accessor(_target), _reference, tolerance_qs16);
197 FIXTURE_DATA_TEST_CASE(RunSmall, NEPoolingLayerFixedPointFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetQS,
198 framework::dataset::make("DataType", DataType::QS16))),
199 framework::dataset::make("FractionalBits", 1, 13)))
202 validate(Accessor(_target), _reference, tolerance_qs16);
204 TEST_SUITE_END() // QS16
205 TEST_SUITE_END() // FixedPoint
207 TEST_SUITE(Quantized)
209 template <typename T>
210 using NEPoolingLayerQuantizedFixture = PoolingLayerValidationQuantizedFixture<Tensor, Accessor, NEPoolingLayer, T>;
213 FIXTURE_DATA_TEST_CASE(RunSmall, NEPoolingLayerQuantizedFixture<uint8_t>, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetQASYMM8,
214 framework::dataset::make("DataType", DataType::QASYMM8))),
215 framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255, 127),
216 QuantizationInfo(7.f / 255, 123)
218 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
221 validate(Accessor(_target), _reference, tolerance_qasymm8);
223 FIXTURE_DATA_TEST_CASE(RunLarge, NEPoolingLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetQASYMM8,
224 framework::dataset::make("DataType", DataType::QASYMM8))),
225 framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 255, 0) })),
226 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
229 validate(Accessor(_target), _reference, tolerance_qasymm8);
231 TEST_SUITE_END() // QASYMM8
232 TEST_SUITE_END() // Quantized
233 TEST_SUITE_END() // PoolingLayer
234 TEST_SUITE_END() // NEON
235 } // namespace validation
237 } // namespace arm_compute