giuros01 | d513436 | 2019-05-14 16:12:53 +0100 | [diff] [blame] | 1 | /* |
Sheri Zhang | ac6499a | 2021-02-10 15:32:38 +0000 | [diff] [blame] | 2 | * Copyright (c) 2019-2021 Arm Limited. |
giuros01 | d513436 | 2019-05-14 16:12:53 +0100 | [diff] [blame] | 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/NEPReluLayer.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 | { |
Michalis Spyrou | 8d4d1b8 | 2019-11-28 11:31:23 +0000 | [diff] [blame] | 45 | RelativeTolerance<float> tolerance_fp32(0.000001f); |
| 46 | AbsoluteTolerance<int8_t> tolerance_s8(1); |
giuros01 | d513436 | 2019-05-14 16:12:53 +0100 | [diff] [blame] | 47 | |
giuros01 | d513436 | 2019-05-14 16:12:53 +0100 | [diff] [blame] | 48 | /** Input data sets **/ |
| 49 | const auto PReluLayerQASYMM8Dataset = combine(combine(framework::dataset::make("DataType", DataType::QASYMM8), framework::dataset::make("DataType", DataType::QASYMM8)), |
| 50 | framework::dataset::make("DataType", |
| 51 | DataType::QASYMM8)); |
Michalis Spyrou | 8d4d1b8 | 2019-11-28 11:31:23 +0000 | [diff] [blame] | 52 | const auto PReluLayerQASYMM8SignedDataset = combine(combine(framework::dataset::make("DataType", DataType::QASYMM8_SIGNED), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), |
| 53 | framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)); |
giuros01 | d513436 | 2019-05-14 16:12:53 +0100 | [diff] [blame] | 54 | const auto PReluLayerFP32Dataset = combine(combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::F32)), |
| 55 | framework::dataset::make("DataType", DataType::F32)); |
| 56 | |
| 57 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 58 | RelativeTolerance<float> tolerance_fp16(0.001f); |
| 59 | |
| 60 | const auto PReluLayerFP16Dataset = combine(combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::F16)), |
| 61 | framework::dataset::make("DataType", DataType::F16)); |
| 62 | |
| 63 | #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 64 | |
| 65 | } // namespace |
| 66 | |
| 67 | TEST_SUITE(NEON) |
| 68 | TEST_SUITE(PReluLayer) |
| 69 | |
| 70 | // *INDENT-OFF* |
| 71 | // clang-format off |
| 72 | DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( |
| 73 | framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), |
| 74 | TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), |
| 75 | TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), // Window shrink |
| 76 | TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), // Invalid data type combination |
| 77 | TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Mismatching shapes |
| 78 | }), |
| 79 | framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), |
| 80 | TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), |
| 81 | TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), |
| 82 | TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), |
| 83 | TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), |
| 84 | })), |
| 85 | framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), |
| 86 | TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), |
| 87 | TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), |
| 88 | TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), |
| 89 | TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), |
| 90 | })), |
| 91 | framework::dataset::make("Expected", { true, true, false, false, false})), |
| 92 | input1_info, input2_info, output_info, expected) |
| 93 | { |
| 94 | ARM_COMPUTE_EXPECT(bool(NEPReluLayer::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); |
| 95 | } |
| 96 | // clang-format on |
| 97 | // *INDENT-ON* |
| 98 | |
| 99 | template <typename T> |
| 100 | using NEPReluLayerFixture = PReluLayerValidationFixture<Tensor, Accessor, NEPReluLayer, T>; |
| 101 | |
| 102 | template <typename T> |
| 103 | using NEPReluLayerQuantizedFixture = PReluLayerValidationQuantizedFixture<Tensor, Accessor, NEPReluLayer, T>; |
| 104 | |
| 105 | TEST_SUITE(Quantized) |
| 106 | TEST_SUITE(QASYMM8) |
giuros01 | d513436 | 2019-05-14 16:12:53 +0100 | [diff] [blame] | 107 | FIXTURE_DATA_TEST_CASE(RunSmall, NEPReluLayerQuantizedFixture<uint8_t>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallShapes(), |
| 108 | PReluLayerQASYMM8Dataset), |
| 109 | framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) })), |
| 110 | framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255.f, 10) })), |
| 111 | framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 255.f, 5) })) |
| 112 | |
| 113 | ) |
| 114 | { |
| 115 | // Validate output |
| 116 | validate(Accessor(_target), _reference, tolerance_fp32, 0.01); |
| 117 | } |
| 118 | |
| 119 | FIXTURE_DATA_TEST_CASE(RunLarge, NEPReluLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), |
| 120 | PReluLayerQASYMM8Dataset), |
| 121 | framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) })), |
| 122 | framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255.f, 10) })), |
| 123 | framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 255.f, 5) })) |
| 124 | |
| 125 | ) |
| 126 | { |
| 127 | // Validate output |
| 128 | validate(Accessor(_target), _reference, tolerance_fp32, 0.01); |
| 129 | } |
Michalis Spyrou | 8d4d1b8 | 2019-11-28 11:31:23 +0000 | [diff] [blame] | 130 | TEST_SUITE_END() // QASYMM8 |
| 131 | |
| 132 | TEST_SUITE(QASYMM8_SIGNED) |
| 133 | FIXTURE_DATA_TEST_CASE(RunSmall, NEPReluLayerQuantizedFixture<int8_t>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallShapes(), |
| 134 | PReluLayerQASYMM8SignedDataset), |
Sheri Zhang | 5eaf57c | 2020-05-04 21:38:17 +0100 | [diff] [blame] | 135 | framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.2f, 127) })), |
| 136 | framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.1f, 64) })), |
| 137 | framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, -128) })) |
Michalis Spyrou | 8d4d1b8 | 2019-11-28 11:31:23 +0000 | [diff] [blame] | 138 | |
| 139 | ) |
| 140 | { |
| 141 | // Validate output |
| 142 | validate(Accessor(_target), _reference, tolerance_s8, 0.01); |
| 143 | } |
| 144 | |
| 145 | FIXTURE_DATA_TEST_CASE(RunLarge, NEPReluLayerQuantizedFixture<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), |
| 146 | PReluLayerQASYMM8SignedDataset), |
| 147 | framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 20) })), |
| 148 | framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })), |
| 149 | framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 5) })) |
| 150 | |
| 151 | ) |
| 152 | { |
| 153 | // Validate output |
| 154 | validate(Accessor(_target), _reference, tolerance_s8, 0.01); |
| 155 | } |
| 156 | TEST_SUITE_END() // QASYMM8_SIGNED |
| 157 | TEST_SUITE_END() // Quantized |
giuros01 | d513436 | 2019-05-14 16:12:53 +0100 | [diff] [blame] | 158 | |
| 159 | TEST_SUITE(Float) |
| 160 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 161 | TEST_SUITE(FP16) |
| 162 | FIXTURE_DATA_TEST_CASE(RunSmall, NEPReluLayerFixture<half>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), PReluLayerFP16Dataset)) |
| 163 | { |
| 164 | // Validate output |
| 165 | validate(Accessor(_target), _reference, tolerance_fp16, 0.01); |
| 166 | } |
| 167 | |
| 168 | FIXTURE_DATA_TEST_CASE(RunLarge, NEPReluLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), PReluLayerFP16Dataset)) |
| 169 | { |
| 170 | // Validate output |
| 171 | validate(Accessor(_target), _reference, tolerance_fp16, 0.01); |
| 172 | } |
| 173 | TEST_SUITE_END() // FP16 |
| 174 | #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ |
| 175 | |
| 176 | TEST_SUITE(FP32) |
giuros01 | d513436 | 2019-05-14 16:12:53 +0100 | [diff] [blame] | 177 | FIXTURE_DATA_TEST_CASE(RunSmall, NEPReluLayerFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), PReluLayerFP32Dataset)) |
| 178 | { |
| 179 | // Validate output |
| 180 | validate(Accessor(_target), _reference, tolerance_fp32); |
| 181 | } |
| 182 | |
| 183 | FIXTURE_DATA_TEST_CASE(RunLarge, NEPReluLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), PReluLayerFP32Dataset)) |
| 184 | { |
| 185 | // Validate output |
| 186 | validate(Accessor(_target), _reference, tolerance_fp32); |
| 187 | } |
| 188 | |
| 189 | template <typename T> |
| 190 | using NEPReluLayerBroadcastFixture = PReluLayerBroadcastValidationFixture<Tensor, Accessor, NEPReluLayer, T>; |
| 191 | |
| 192 | FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEPReluLayerBroadcastFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallShapesBroadcast(), |
| 193 | PReluLayerFP32Dataset)) |
| 194 | { |
| 195 | // Validate output |
| 196 | validate(Accessor(_target), _reference, tolerance_fp32); |
| 197 | } |
| 198 | |
| 199 | FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, NEPReluLayerBroadcastFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapesBroadcast(), |
| 200 | PReluLayerFP32Dataset)) |
| 201 | { |
| 202 | // Validate output |
| 203 | validate(Accessor(_target), _reference, tolerance_fp32); |
| 204 | } |
| 205 | TEST_SUITE_END() // FP32 |
| 206 | TEST_SUITE_END() // Float |
| 207 | |
| 208 | TEST_SUITE_END() // PReluLayer |
Sheri Zhang | ac6499a | 2021-02-10 15:32:38 +0000 | [diff] [blame] | 209 | TEST_SUITE_END() // Neon |
giuros01 | d513436 | 2019-05-14 16:12:53 +0100 | [diff] [blame] | 210 | } // namespace validation |
| 211 | } // namespace test |
| 212 | } // namespace arm_compute |