| /* | |
| * Copyright (c) 2018-2021 Arm Limited. | |
| * | |
| * SPDX-License-Identifier: MIT | |
| * | |
| * Permission is hereby granted, free of charge, to any person obtaining a copy | |
| * of this software and associated documentation files (the "Software"), to | |
| * deal in the Software without restriction, including without limitation the | |
| * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or | |
| * sell copies of the Software, and to permit persons to whom the Software is | |
| * furnished to do so, subject to the following conditions: | |
| * | |
| * The above copyright notice and this permission notice shall be included in all | |
| * copies or substantial portions of the Software. | |
| * | |
| * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR | |
| * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, | |
| * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE | |
| * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER | |
| * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, | |
| * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE | |
| * SOFTWARE. | |
| */ | |
| #include "arm_compute/core/Types.h" | |
| #include "arm_compute/runtime/CL/CLTensor.h" | |
| #include "arm_compute/runtime/CL/CLTensorAllocator.h" | |
| #include "arm_compute/runtime/CL/functions/CLSelect.h" | |
| #include "tests/CL/CLAccessor.h" | |
| #include "tests/PaddingCalculator.h" | |
| #include "tests/datasets/ShapeDatasets.h" | |
| #include "tests/framework/Asserts.h" | |
| #include "tests/framework/Macros.h" | |
| #include "tests/framework/datasets/Datasets.h" | |
| #include "tests/validation/Validation.h" | |
| #include "tests/validation/fixtures/SelectFixture.h" | |
| namespace arm_compute | |
| { | |
| namespace test | |
| { | |
| namespace validation | |
| { | |
| namespace | |
| { | |
| auto run_small_dataset = combine(datasets::SmallShapes(), framework::dataset::make("has_same_rank", { false, true })); | |
| auto run_large_dataset = combine(datasets::LargeShapes(), framework::dataset::make("has_same_rank", { false, true })); | |
| } // namespace | |
| TEST_SUITE(CL) | |
| TEST_SUITE(Select) | |
| // *INDENT-OFF* | |
| // clang-format off | |
| DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip( | |
| framework::dataset::make("CInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S8), // Invalid condition datatype | |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), // Invalid output datatype | |
| TensorInfo(TensorShape(13U), 1, DataType::U8), // Invalid c shape | |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), // Mismatching shapes | |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), | |
| TensorInfo(TensorShape(2U), 1, DataType::U8), | |
| }), | |
| framework::dataset::make("XInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), | |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), | |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), | |
| TensorInfo(TensorShape(32U, 10U, 2U), 1, DataType::F32), | |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), | |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), | |
| })), | |
| framework::dataset::make("YInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), | |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), | |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), | |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), | |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), | |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), | |
| })), | |
| framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), | |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S8), | |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), | |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), | |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), | |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), | |
| })), | |
| framework::dataset::make("Expected", { false, false, false, false, true, true})), | |
| c_info, x_info, y_info, output_info, expected) | |
| { | |
| Status s = CLSelect::validate(&c_info.clone()->set_is_resizable(false), | |
| &x_info.clone()->set_is_resizable(false), | |
| &y_info.clone()->set_is_resizable(false), | |
| &output_info.clone()->set_is_resizable(false)); | |
| ARM_COMPUTE_EXPECT(bool(s) == expected, framework::LogLevel::ERRORS); | |
| } | |
| // clang-format on | |
| // *INDENT-ON* | |
| template <typename T> | |
| using CLSelectFixture = SelectValidationFixture<CLTensor, CLAccessor, CLSelect, T>; | |
| TEST_SUITE(Float) | |
| TEST_SUITE(F16) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, | |
| CLSelectFixture<half>, | |
| framework::DatasetMode::PRECOMMIT, | |
| combine(run_small_dataset, framework::dataset::make("DataType", DataType::F16))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunOneDim, | |
| CLSelectFixture<half>, | |
| framework::DatasetMode::PRECOMMIT, | |
| combine(combine(framework::dataset::make("Shape", TensorShape(1U, 16U)), | |
| framework::dataset::make("has_same_rank", { false, true })), | |
| framework::dataset::make("DataType", DataType::F16))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunLarge, | |
| CLSelectFixture<half>, | |
| framework::DatasetMode::NIGHTLY, | |
| combine(run_large_dataset, framework::dataset::make("DataType", DataType::F16))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference); | |
| } | |
| TEST_SUITE_END() // F16 | |
| TEST_SUITE(FP32) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, | |
| CLSelectFixture<float>, | |
| framework::DatasetMode::PRECOMMIT, | |
| combine(run_small_dataset, framework::dataset::make("DataType", DataType::F32))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunOneDim, | |
| CLSelectFixture<float>, | |
| framework::DatasetMode::PRECOMMIT, | |
| combine(combine(framework::dataset::make("Shape", TensorShape(1U, 16U)), | |
| framework::dataset::make("has_same_rank", { false, true })), | |
| framework::dataset::make("DataType", DataType::F32))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunLarge, | |
| CLSelectFixture<float>, | |
| framework::DatasetMode::NIGHTLY, | |
| combine(run_large_dataset, framework::dataset::make("DataType", DataType::F32))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference); | |
| } | |
| TEST_SUITE_END() // F32 | |
| TEST_SUITE_END() // Float | |
| TEST_SUITE(Quantized) | |
| TEST_SUITE(QASYMM8) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, | |
| CLSelectFixture<uint8_t>, | |
| framework::DatasetMode::PRECOMMIT, | |
| combine(run_small_dataset, framework::dataset::make("DataType", DataType::QASYMM8))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunOneDim, | |
| CLSelectFixture<uint8_t>, | |
| framework::DatasetMode::PRECOMMIT, | |
| combine(combine(framework::dataset::make("Shape", TensorShape(1U, 16U)), | |
| framework::dataset::make("has_same_rank", { false, true })), | |
| framework::dataset::make("DataType", DataType::QASYMM8))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunLarge, | |
| CLSelectFixture<uint8_t>, | |
| framework::DatasetMode::NIGHTLY, | |
| combine(run_large_dataset, framework::dataset::make("DataType", DataType::QASYMM8))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference); | |
| } | |
| TEST_SUITE_END() // QASYMM8 | |
| TEST_SUITE_END() // Quantized | |
| TEST_SUITE_END() // Select | |
| TEST_SUITE_END() // CL | |
| } // namespace validation | |
| } // namespace test | |
| } // namespace arm_compute |