Sanghoon Lee | a7a5b7b | 2017-09-14 12:11:03 +0100 | [diff] [blame] | 1 | /* |
Michalis Spyrou | 5c9f0c4 | 2019-01-16 14:48:48 +0000 | [diff] [blame] | 2 | * Copyright (c) 2017-2019 ARM Limited. |
Sanghoon Lee | a7a5b7b | 2017-09-14 12:11:03 +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/NETableLookup.h" |
| 26 | #include "arm_compute/runtime/Tensor.h" |
| 27 | #include "arm_compute/runtime/TensorAllocator.h" |
| 28 | |
| 29 | #include "tests/NEON/Accessor.h" |
| 30 | #include "tests/NEON/LutAccessor.h" |
| 31 | #include "tests/PaddingCalculator.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 | |
| 37 | #include "tests/validation/Helpers.h" |
| 38 | #include "tests/validation/Validation.h" |
| 39 | #include "tests/validation/fixtures/TableLookupFixture.h" |
| 40 | |
| 41 | namespace arm_compute |
| 42 | { |
| 43 | namespace test |
| 44 | { |
| 45 | namespace validation |
| 46 | { |
| 47 | TEST_SUITE(NEON) |
| 48 | TEST_SUITE(TableLookup) |
| 49 | |
| 50 | template <typename T> |
| 51 | using NETableLookupFixture = TableLookupValidationFixture<Tensor, Accessor, NETableLookup, LutAccessor<T>, Lut, T>; |
| 52 | TEST_SUITE(U8) |
Michalis Spyrou | 5c9f0c4 | 2019-01-16 14:48:48 +0000 | [diff] [blame] | 53 | DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::U8, DataType::S16 })), |
Sanghoon Lee | a7a5b7b | 2017-09-14 12:11:03 +0100 | [diff] [blame] | 54 | shape, data_type) |
| 55 | { |
| 56 | // Create Lut |
| 57 | const int num_elem = (data_type == DataType::U8) ? std::numeric_limits<uint8_t>::max() + 1 : std::numeric_limits<int16_t>::max() - std::numeric_limits<int16_t>::lowest() + 1; |
| 58 | Lut lut(num_elem, data_type); |
| 59 | |
| 60 | switch(data_type) |
| 61 | { |
| 62 | case DataType::U8: |
| 63 | fill_lookuptable(LutAccessor<uint8_t>(lut)); |
| 64 | break; |
| 65 | case DataType::S16: |
| 66 | fill_lookuptable(LutAccessor<int16_t>(lut)); |
| 67 | break; |
| 68 | default: |
| 69 | ARM_COMPUTE_ERROR("Not supported"); |
| 70 | } |
| 71 | |
| 72 | // Create tensors |
| 73 | Tensor src = create_tensor<Tensor>(shape, data_type); |
| 74 | Tensor dst = create_tensor<Tensor>(shape, data_type); |
| 75 | |
| 76 | // Create and Configure function |
| 77 | NETableLookup table_lookup; |
| 78 | table_lookup.configure(&src, &lut, &dst); |
| 79 | |
| 80 | // Validate valid region |
| 81 | const ValidRegion valid_region = shape_to_valid_region(shape); |
| 82 | validate(dst.info()->valid_region(), valid_region); |
| 83 | |
| 84 | // Validate padding |
| 85 | const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding(); |
| 86 | validate(src.info()->padding(), padding); |
| 87 | validate(dst.info()->padding(), padding); |
| 88 | } |
| 89 | FIXTURE_DATA_TEST_CASE(RunSmallU8, NETableLookupFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::U8))) |
| 90 | { |
| 91 | // Validate output |
| 92 | validate(Accessor(_target), _reference); |
| 93 | } |
| 94 | FIXTURE_DATA_TEST_CASE(RunLargeU8, NETableLookupFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::U8))) |
| 95 | { |
| 96 | // Validate output |
| 97 | validate(Accessor(_target), _reference); |
| 98 | } |
| 99 | TEST_SUITE_END() |
| 100 | |
| 101 | TEST_SUITE(S16) |
| 102 | FIXTURE_DATA_TEST_CASE(RunSmallS16, NETableLookupFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::S16))) |
| 103 | { |
| 104 | // Validate output |
| 105 | validate(Accessor(_target), _reference); |
| 106 | } |
| 107 | FIXTURE_DATA_TEST_CASE(RunLargeS16, NETableLookupFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::S16))) |
| 108 | { |
| 109 | // Validate output |
| 110 | validate(Accessor(_target), _reference); |
| 111 | } |
| 112 | TEST_SUITE_END() |
| 113 | |
| 114 | TEST_SUITE_END() |
| 115 | TEST_SUITE_END() |
| 116 | } // namespace validation |
| 117 | } // namespace test |
| 118 | } // namespace arm_compute |