Michalis Spyrou | 110b920 | 2018-12-28 16:32:49 +0000 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2018-2019 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 | |
| 25 | #include "arm_compute/core/Types.h" |
| 26 | #include "arm_compute/runtime/NEON/functions/NEReverse.h" |
| 27 | #include "arm_compute/runtime/Tensor.h" |
| 28 | #include "arm_compute/runtime/TensorAllocator.h" |
| 29 | #include "tests/NEON/Accessor.h" |
| 30 | #include "tests/PaddingCalculator.h" |
| 31 | #include "tests/datasets/ShapeDatasets.h" |
| 32 | #include "tests/framework/Asserts.h" |
| 33 | #include "tests/framework/Macros.h" |
| 34 | #include "tests/framework/datasets/Datasets.h" |
| 35 | #include "tests/validation/Validation.h" |
| 36 | #include "tests/validation/fixtures/ReverseFixture.h" |
| 37 | |
| 38 | namespace arm_compute |
| 39 | { |
| 40 | namespace test |
| 41 | { |
| 42 | namespace validation |
| 43 | { |
| 44 | namespace |
| 45 | { |
| 46 | auto run_small_dataset = combine(datasets::SmallShapes(), datasets::Tiny1DShapes()); |
| 47 | auto run_large_dataset = combine(datasets::LargeShapes(), datasets::Tiny1DShapes()); |
| 48 | |
| 49 | } // namespace |
| 50 | TEST_SUITE(NEON) |
| 51 | TEST_SUITE(Reverse) |
| 52 | |
| 53 | // *INDENT-OFF* |
| 54 | // clang-format off |
| 55 | DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( |
| 56 | framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S8), // Invalid axis datatype |
| 57 | TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), // Invalid axis shape |
| 58 | TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), // Invalid axis length (> 4) |
| 59 | TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), // Mismatching shapes |
| 60 | TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), |
| 61 | TensorInfo(TensorShape(2U), 1, DataType::U8), |
| 62 | }), |
| 63 | framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S8), |
| 64 | TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), |
| 65 | TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), |
| 66 | TensorInfo(TensorShape(2U, 13U, 2U), 1, DataType::U8), |
| 67 | TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), |
| 68 | TensorInfo(TensorShape(2U), 1, DataType::U8), |
| 69 | })), |
| 70 | framework::dataset::make("AxisInfo", { TensorInfo(TensorShape(3U), 1, DataType::U8), |
| 71 | TensorInfo(TensorShape(2U, 10U), 1, DataType::U32), |
| 72 | TensorInfo(TensorShape(8U), 1, DataType::U32), |
| 73 | TensorInfo(TensorShape(2U), 1, DataType::U32), |
| 74 | TensorInfo(TensorShape(2U), 1, DataType::U32), |
| 75 | TensorInfo(TensorShape(2U), 1, DataType::U32), |
| 76 | })), |
| 77 | framework::dataset::make("Expected", { false, false, false, false, true, true})), |
| 78 | src_info, dst_info, axis_info, expected) |
| 79 | { |
| 80 | Status s = NEReverse::validate(&src_info.clone()->set_is_resizable(false), |
| 81 | &dst_info.clone()->set_is_resizable(false), |
| 82 | &axis_info.clone()->set_is_resizable(false)); |
| 83 | ARM_COMPUTE_EXPECT(bool(s) == expected, framework::LogLevel::ERRORS); |
| 84 | } |
| 85 | // clang-format on |
| 86 | // *INDENT-ON* |
| 87 | |
| 88 | template <typename T> |
| 89 | using NEReverseFixture = ReverseValidationFixture<Tensor, Accessor, NEReverse, T>; |
| 90 | |
| 91 | TEST_SUITE(Float) |
| 92 | |
| 93 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 94 | TEST_SUITE(F16) |
| 95 | FIXTURE_DATA_TEST_CASE(RunSmall, |
| 96 | NEReverseFixture<half>, |
| 97 | framework::DatasetMode::PRECOMMIT, |
| 98 | combine(run_small_dataset, framework::dataset::make("DataType", DataType::F16))) |
| 99 | { |
| 100 | // Validate output |
| 101 | validate(Accessor(_target), _reference); |
| 102 | } |
| 103 | |
| 104 | FIXTURE_DATA_TEST_CASE(RunLarge, |
| 105 | NEReverseFixture<half>, |
| 106 | framework::DatasetMode::NIGHTLY, |
| 107 | combine(run_large_dataset, framework::dataset::make("DataType", DataType::F16))) |
| 108 | { |
| 109 | // Validate output |
| 110 | validate(Accessor(_target), _reference); |
| 111 | } |
| 112 | TEST_SUITE_END() // F16 |
| 113 | #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ |
| 114 | |
| 115 | TEST_SUITE(FP32) |
| 116 | FIXTURE_DATA_TEST_CASE(RunSmall, |
| 117 | NEReverseFixture<float>, |
| 118 | framework::DatasetMode::PRECOMMIT, |
| 119 | combine(run_small_dataset, framework::dataset::make("DataType", DataType::F32))) |
| 120 | { |
| 121 | // Validate output |
| 122 | validate(Accessor(_target), _reference); |
| 123 | } |
| 124 | |
| 125 | FIXTURE_DATA_TEST_CASE(RunLarge, |
| 126 | NEReverseFixture<float>, |
| 127 | framework::DatasetMode::NIGHTLY, |
| 128 | combine(run_large_dataset, framework::dataset::make("DataType", DataType::F32))) |
| 129 | { |
| 130 | // Validate output |
| 131 | validate(Accessor(_target), _reference); |
| 132 | } |
| 133 | TEST_SUITE_END() // F32 |
| 134 | TEST_SUITE_END() // Float |
| 135 | |
| 136 | TEST_SUITE(Quantized) |
| 137 | TEST_SUITE(QASYMM8) |
| 138 | FIXTURE_DATA_TEST_CASE(RunSmall, |
| 139 | NEReverseFixture<uint8_t>, |
| 140 | framework::DatasetMode::PRECOMMIT, |
| 141 | combine(run_small_dataset, framework::dataset::make("DataType", DataType::QASYMM8))) |
| 142 | { |
| 143 | // Validate output |
| 144 | validate(Accessor(_target), _reference); |
| 145 | } |
| 146 | |
| 147 | FIXTURE_DATA_TEST_CASE(RunLarge, |
| 148 | NEReverseFixture<uint8_t>, |
| 149 | framework::DatasetMode::NIGHTLY, |
| 150 | combine(run_large_dataset, framework::dataset::make("DataType", DataType::QASYMM8))) |
| 151 | { |
| 152 | // Validate output |
| 153 | validate(Accessor(_target), _reference); |
| 154 | } |
| 155 | TEST_SUITE_END() // QASYMM8 |
| 156 | TEST_SUITE_END() // Quantized |
| 157 | |
| 158 | TEST_SUITE_END() // Reverse |
| 159 | TEST_SUITE_END() // NEON |
| 160 | } // namespace validation |
| 161 | } // namespace test |
| 162 | } // namespace arm_compute |