tests/validation/CL/PoolingLayer.cpp

   1 /*
   2  * Copyright (c) 2017-2018 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/CL/CLTensor.h"
  26 #include "arm_compute/runtime/CL/CLTensorAllocator.h"
  27 #include "arm_compute/runtime/CL/functions/CLPoolingLayer.h"
  28 #include "tests/CL/CLAccessor.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
  39 namespace arm_compute
  40 {
  41 namespace test
  42 {
  43 namespace validation
  44 {
  45 namespace
  46 {
  47 /** Input data set for floating-point data types */
  48 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(5, 7), Size2D(7, 9) })),
  49                                                    framework::dataset::make("PadStride", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(1, 2, 1, 1), PadStrideInfo(2, 2, 1, 0) })),
  50                                            framework::dataset::make("ExcludePadding", { true, false }));
  51
  52 /** Input data set for fixed-point data types */
  53 const auto PoolingLayerDatasetQS = combine(combine(combine(framework::dataset::make("PoolingType", { PoolingType::MAX, PoolingType::AVG }), framework::dataset::make("PoolingSize", { Size2D(2, 2), Size2D(3, 3) })),
  54                                                    framework::dataset::make("PadStride", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(1, 2, 1, 1), PadStrideInfo(2, 2, 1, 0) })),
  55                                            framework::dataset::make("ExcludePadding", { true, false }));
  56
  57 /** Input data set for asymmetric data type */
  58 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(5, 7), Size2D(8, 9) })),
  59                                                         framework::dataset::make("PadStride", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(1, 2, 1, 1), PadStrideInfo(2, 2, 1, 0) })),
  60                                                 framework::dataset::make("ExcludePadding", { true, false }));
  61
  62 constexpr AbsoluteTolerance<float>   tolerance_f32(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for 32-bit floating-point type */
  63 constexpr AbsoluteTolerance<float>   tolerance_f16(0.01f);  /**< Tolerance value for comparing reference's output against implementation's output for 16-bit floating-point type */
  64 constexpr AbsoluteTolerance<float>   tolerance_qs16(6);     /**< Tolerance value for comparing reference's output against implementation's output for 16-bit fixed-point type */
  65 constexpr AbsoluteTolerance<float>   tolerance_qs8(3);      /**< Tolerance value for comparing reference's output against implementation's output for 8-bit fixed-point type */
  66 constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1);  /**< Tolerance value for comparing reference's output against implementation's output for 8-bit asymmetric type */
  67 } // namespace
  68
  69 TEST_SUITE(CL)
  70 TEST_SUITE(PoolingLayer)
  71
  72 // *INDENT-OFF*
  73 // clang-format off
  74 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
  75                framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0),     // Mismatching data type
  76                                                        TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0),     // Window shrink
  77                                                        TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 4),     // Mismatching fixed point position
  78                                                        TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS16, 11),
  79                                                        TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0),     // Invalid pad/size combination
  80                                                        TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0),     // Invalid pad/size combination
  81                                                        TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8, 0), // Invalid parameters
  82                                                        TensorInfo(TensorShape(15U, 13U, 5U), 1, DataType::F32, 0),     // Non-rectangular Global Pooling
  83                                                        TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32, 0),     // Invalid output Global Pooling
  84                                                        TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32, 0),
  85                                                      }),
  86                framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16, 0),
  87                                                        TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0),
  88                                                        TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::QS8, 5),
  89                                                        TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::QS16, 11),
  90                                                        TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32, 0),
  91                                                        TensorInfo(TensorShape(25U, 16U, 2U), 1, DataType::F32, 0),
  92                                                        TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8, 0),
  93                                                        TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32, 0),
  94                                                        TensorInfo(TensorShape(2U, 2U, 5U), 1, DataType::F32, 0),
  95                                                        TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32, 0),
  96                                                      })),
  97                framework::dataset::make("PoolInfo",  { PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)),
  98                                                        PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)),
  99                                                        PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)),
 100                                                        PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)),
 101                                                        PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 2, 0)),
 102                                                        PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 0, 2)),
 103                                                        PoolingLayerInfo(PoolingType::L2, 3, PadStrideInfo(1, 1, 0, 0)),
 104                                                        PoolingLayerInfo(PoolingType::AVG),
 105                                                        PoolingLayerInfo(PoolingType::MAX),
 106                                                        PoolingLayerInfo(PoolingType::AVG),
 107                                                       })),
 108                framework::dataset::make("Expected", { false, false, false, true, false, false, false, true, false, true })),
 109                input_info, output_info, pool_info, expected)
 110 {
 111     ARM_COMPUTE_EXPECT(bool(CLPoolingLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), pool_info)) == expected, framework::LogLevel::ERRORS);
 112 }
 113 // clang-format on
 114 // *INDENT-ON*
 115
 116 template <typename T>
 117 using CLPoolingLayerFixture = PoolingLayerValidationFixture<CLTensor, CLAccessor, CLPoolingLayer, T>;
 118
 119 template <typename T>
 120 using CLSpecialPoolingLayerFixture = SpecialPoolingLayerValidationFixture<CLTensor, CLAccessor, CLPoolingLayer, T>;
 121
 122 TEST_SUITE(Float)
 123 TEST_SUITE(FP32)
 124 FIXTURE_DATA_TEST_CASE(RunSpecial, CLSpecialPoolingLayerFixture<float>, framework::DatasetMode::ALL, datasets::PoolingLayerDatasetSpecial() * framework::dataset::make("DataType", DataType::F32))
 125 {
 126     // Validate output
 127     validate(CLAccessor(_target), _reference, tolerance_f32);
 128 }
 129 FIXTURE_DATA_TEST_CASE(RunSmall, CLPoolingLayerFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), combine(PoolingLayerDatasetFP, framework::dataset::make("DataType",
 130                                                                                                     DataType::F32))))
 131 {
 132     // Validate output
 133     validate(CLAccessor(_target), _reference, tolerance_f32);
 134 }
 135 FIXTURE_DATA_TEST_CASE(RunLarge, CLPoolingLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), combine(PoolingLayerDatasetFP, framework::dataset::make("DataType",
 136                                                                                                         DataType::F32))))
 137 {
 138     // Validate output
 139     validate(CLAccessor(_target), _reference, tolerance_f32);
 140 }
 141 TEST_SUITE_END()
 142
 143 TEST_SUITE(FP16)
 144 FIXTURE_DATA_TEST_CASE(RunSmall, CLPoolingLayerFixture<half>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), combine(PoolingLayerDatasetFP,
 145                                                                                                    framework::dataset::make("DataType", DataType::F16))))
 146 {
 147     // Validate output
 148     validate(CLAccessor(_target), _reference, tolerance_f16);
 149 }
 150 FIXTURE_DATA_TEST_CASE(RunLarge, CLPoolingLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), combine(PoolingLayerDatasetFP,
 151                                                                                                        framework::dataset::make("DataType", DataType::F16))))
 152 {
 153     // Validate output
 154     validate(CLAccessor(_target), _reference, tolerance_f16);
 155 }
 156 TEST_SUITE_END()
 157 TEST_SUITE_END()
 158
 159 template <typename T>
 160 using CLPoolingLayerFixedPointFixture = PoolingLayerValidationFixedPointFixture<CLTensor, CLAccessor, CLPoolingLayer, T>;
 161
 162 TEST_SUITE(FixedPoint)
 163 TEST_SUITE(QS8)
 164 FIXTURE_DATA_TEST_CASE(RunTiny, CLPoolingLayerFixedPointFixture<int8_t>, framework::DatasetMode::ALL, combine(combine(datasets::TinyShapes(), combine(PoolingLayerDatasetQS,
 165                                                                                                                       framework::dataset::make("DataType", DataType::QS8))),
 166                                                                                                               framework::dataset::make("FractionalBits", 1, 4)))
 167 {
 168     // Validate output
 169     validate(CLAccessor(_target), _reference, tolerance_qs8);
 170 }
 171 FIXTURE_DATA_TEST_CASE(RunSmall, CLPoolingLayerFixedPointFixture<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetQS,
 172                                                                                                                    framework::dataset::make("DataType", DataType::QS8))),
 173                                                                                                                    framework::dataset::make("FractionalBits", 1, 4)))
 174 {
 175     // Validate output
 176     validate(CLAccessor(_target), _reference, tolerance_qs8);
 177 }
 178 TEST_SUITE_END()
 179
 180 TEST_SUITE(QS16)
 181 FIXTURE_DATA_TEST_CASE(RunTiny, CLPoolingLayerFixedPointFixture<int16_t>, framework::DatasetMode::ALL, combine(combine(datasets::TinyShapes(), combine(PoolingLayerDatasetQS,
 182                                                                                                                        framework::dataset::make("DataType", DataType::QS16))),
 183                                                                                                                framework::dataset::make("FractionalBits", 1, 12)))
 184 {
 185     // Validate output
 186     validate(CLAccessor(_target), _reference, tolerance_qs16);
 187 }
 188 FIXTURE_DATA_TEST_CASE(RunSmall, CLPoolingLayerFixedPointFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetQS,
 189                                                                                                                     framework::dataset::make("DataType", DataType::QS16))),
 190                                                                                                                     framework::dataset::make("FractionalBits", 1, 12)))
 191 {
 192     // Validate output
 193     validate(CLAccessor(_target), _reference, tolerance_qs16);
 194 }
 195 TEST_SUITE_END()
 196 TEST_SUITE_END()
 197
 198 TEST_SUITE(Quantized)
 199
 200 template <typename T>
 201 using CLPoolingLayerQuantizedFixture = PoolingLayerValidationQuantizedFixture<CLTensor, CLAccessor, CLPoolingLayer, T>;
 202
 203 TEST_SUITE(QASYMM8)
 204 FIXTURE_DATA_TEST_CASE(RunSmall, CLPoolingLayerQuantizedFixture<uint8_t>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetQASYMM8,
 205                                                                                                                        framework::dataset::make("DataType", DataType::QASYMM8))),
 206                                                                                                                framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255, 127),
 207                                                                                                                        QuantizationInfo(7.f / 255, 123)
 208                                                                                                                                                             })))
 209 {
 210     // Validate output
 211     validate(CLAccessor(_target), _reference, tolerance_qasymm8);
 212 }
 213 FIXTURE_DATA_TEST_CASE(RunLarge, CLPoolingLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetQASYMM8,
 214                                                                                                                    framework::dataset::make("DataType", DataType::QASYMM8))),
 215                                                                                                                    framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 255, 0) })))
 216 {
 217     // Validate output
 218     validate(CLAccessor(_target), _reference, tolerance_qasymm8);
 219 }
 220 TEST_SUITE_END()
 221 TEST_SUITE_END()
 222
 223 TEST_SUITE_END()
 224 TEST_SUITE_END()
 225 } // namespace validation
 226 } // namespace test
 227 } // namespace arm_compute