Pablo Tello | 5430369 | 2018-11-22 16:14:36 +0000 | [diff] [blame] | 1 | /* |
Michele Di Giorgio | d9eaf61 | 2020-07-08 11:12:57 +0100 | [diff] [blame] | 2 | * Copyright (c) 2018 Arm Limited. |
Pablo Tello | 5430369 | 2018-11-22 16:14:36 +0000 | [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/CL/CLTensor.h" |
| 26 | #include "arm_compute/runtime/CL/CLTensorAllocator.h" |
| 27 | #include "arm_compute/runtime/CL/functions/CLUnstack.h" |
| 28 | |
| 29 | #include "tests/CL/CLAccessor.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/UnstackFixture.h" |
| 36 | |
| 37 | namespace arm_compute |
| 38 | { |
| 39 | namespace test |
| 40 | { |
| 41 | namespace validation |
| 42 | { |
| 43 | namespace |
| 44 | { |
| 45 | const auto unstack_axis_dataset = framework::dataset::make("Axis", -3, 3); |
| 46 | const auto unstack_num_dataset = framework::dataset::make("Num", 1, 3); // The length of the dimension axis |
| 47 | const auto unstack_dataset_small = datasets::Small3DShapes() * unstack_axis_dataset * unstack_num_dataset; |
| 48 | } //namespace |
| 49 | |
| 50 | TEST_SUITE(CL) |
| 51 | TEST_SUITE(Unstack) |
| 52 | |
| 53 | DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip( |
| 54 | framework::dataset::make("InputInfo", |
| 55 | { |
| 56 | TensorInfo(TensorShape(1U, 9U, 8U), 1, DataType::U8), // Passes, 1 slice on x axis |
| 57 | TensorInfo(TensorShape(1U, 2U, 3U), 1, DataType::U8), // fails because axis > input's rank |
| 58 | TensorInfo(TensorShape(1U, 2U, 3U), 1, DataType::S32), // fails axis < (- input's rank) |
| 59 | TensorInfo(TensorShape(3U, 7U, 5U), 1, DataType::S32), // passes, 3 slices along X |
| 60 | TensorInfo(TensorShape(13U, 7U, 5U), 1, DataType::S16), // fails, too few output slices |
| 61 | TensorInfo(TensorShape(1U, 2U, 3U), 1, DataType::U8), // fails mismatching data types |
| 62 | }), |
| 63 | framework::dataset::make("OutputInfo", |
| 64 | { |
| 65 | std::vector<TensorInfo>{ TensorInfo(TensorShape(9U, 8U), 1, DataType::U8) }, std::vector<TensorInfo>{ TensorInfo(TensorShape(2U, 3U), 1, DataType::U8) }, std::vector<TensorInfo>{ TensorInfo(TensorShape(2U, 3U), 1, DataType::S32) }, |
| 66 | |
| 67 | std::vector<TensorInfo>{ TensorInfo(TensorShape(7U, 5U), 1, DataType::S32), TensorInfo(TensorShape(7U, 5U), 1, DataType::S32), TensorInfo(TensorShape(7U, 5U), 1, DataType::S32) }, std::vector<TensorInfo>{ TensorInfo(TensorShape(7U, 5U), 1, DataType::S16) }, std::vector<TensorInfo>{ TensorInfo(TensorShape(9U, 8U), 1, DataType::S32) }, |
| 68 | })), |
| 69 | framework::dataset::make("Axis", { -3, 3, -4, -3, 1, 1 })), |
| 70 | framework::dataset::make("Num", { 1, 1, 1, 1, 0, 1 })), |
| 71 | framework::dataset::make("Expected", { true, false, false, true, false, false })), |
| 72 | input_info, output_info, axis, num, expected) |
| 73 | { |
| 74 | std::vector<TensorInfo> ti(output_info); |
| 75 | std::vector<ITensorInfo *> vec(num); |
| 76 | for(size_t j = 0; j < vec.size(); ++j) |
| 77 | { |
| 78 | vec[j] = &ti[j]; |
| 79 | } |
| 80 | ARM_COMPUTE_EXPECT(bool(CLUnstack::validate(&input_info.clone()->set_is_resizable(false), vec, axis)) == expected, framework::LogLevel::ERRORS); |
| 81 | } |
| 82 | |
| 83 | template <typename T> |
| 84 | using CLUnstackFixture = UnstackValidationFixture<CLTensor, ICLTensor, CLAccessor, CLUnstack, T>; |
| 85 | |
| 86 | TEST_SUITE(F32) |
| 87 | FIXTURE_DATA_TEST_CASE(RunSmall, CLUnstackFixture<float>, framework::DatasetMode::PRECOMMIT, unstack_dataset_small * framework::dataset::make("DataType", { DataType::F32 })) |
| 88 | { |
| 89 | ARM_COMPUTE_ERROR_ON(_target.size() != _reference.size()); |
| 90 | // Validate output |
| 91 | for(size_t k = 0; k < _target.size(); ++k) |
| 92 | { |
| 93 | validate(CLAccessor(_target[k]), _reference[k]); |
| 94 | } |
| 95 | } |
| 96 | TEST_SUITE_END() // F32 |
| 97 | |
| 98 | TEST_SUITE(F16) |
| 99 | FIXTURE_DATA_TEST_CASE(RunSmall, CLUnstackFixture<half>, framework::DatasetMode::PRECOMMIT, unstack_dataset_small * framework::dataset::make("DataType", { DataType::F16 })) |
| 100 | { |
| 101 | ARM_COMPUTE_ERROR_ON(_target.size() != _reference.size()); |
| 102 | // Validate output |
| 103 | for(size_t k = 0; k < _target.size(); ++k) |
| 104 | { |
| 105 | validate(CLAccessor(_target[k]), _reference[k]); |
| 106 | } |
| 107 | } |
| 108 | TEST_SUITE_END() // F16 |
| 109 | |
| 110 | TEST_SUITE(Quantized) |
| 111 | FIXTURE_DATA_TEST_CASE(RunSmall, CLUnstackFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, unstack_dataset_small * framework::dataset::make("DataType", { DataType::QASYMM8 })) |
| 112 | { |
| 113 | ARM_COMPUTE_ERROR_ON(_target.size() != _reference.size()); |
| 114 | // Validate output |
| 115 | for(size_t k = 0; k < _target.size(); ++k) |
| 116 | { |
| 117 | validate(CLAccessor(_target[k]), _reference[k]); |
| 118 | } |
| 119 | } |
| 120 | TEST_SUITE_END() // QASYMM8 |
| 121 | |
| 122 | TEST_SUITE_END() // Unstack |
| 123 | TEST_SUITE_END() // CL |
| 124 | } // namespace validation |
| 125 | } // namespace test |
| 126 | } // namespace arm_compute |