| /* | |
| * Copyright (c) 2018-2020 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/CLRange.h" | |
| #include "tests/CL/CLAccessor.h" | |
| #include "tests/PaddingCalculator.h" | |
| #include "tests/datasets/ConvertPolicyDataset.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/RangeFixture.h" | |
| namespace arm_compute | |
| { | |
| namespace test | |
| { | |
| namespace validation | |
| { | |
| namespace | |
| { | |
| constexpr RelativeTolerance<float> tolerance(0.01f); | |
| constexpr AbsoluteTolerance<float> abs_tolerance(0.02f); | |
| const auto start_dataset = framework::dataset::make("Start", { float(3), float(-17), float(16) }); | |
| const auto unsigned_start_dataset = framework::dataset::make("Start", { float(3), float(16) }); | |
| const auto float_step_dataset = framework::dataset::make("Step", { float(1), float(-0.2f), float(0.2), float(12.2), float(-12.2), float(-1.2), float(-3), float(3) }); | |
| const auto step_dataset = framework::dataset::make("Step", { float(1), float(12), float(-12), float(-1), float(-3), float(3) }); | |
| const auto unsigned_step_dataset = framework::dataset::make("Step", { float(1), float(12), float(3) }); | |
| } // namespace | |
| TEST_SUITE(CL) | |
| TEST_SUITE(Range) | |
| // *INDENT-OFF* | |
| // clang-format off | |
| DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip( | |
| framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), | |
| TensorInfo(TensorShape(32U), 1, DataType::U8), | |
| TensorInfo(TensorShape(27U), 1, DataType::U8), | |
| TensorInfo(TensorShape(32U), 1, DataType::U8), | |
| TensorInfo(TensorShape(32U), 1, DataType::F32), | |
| TensorInfo(TensorShape(27U), 1, DataType::U8), | |
| TensorInfo(TensorShape(27U), 1, DataType::U8), | |
| TensorInfo(TensorShape(10U), 1, DataType::U8), | |
| }), | |
| framework::dataset::make("Start",{ 0.0f, 15.0f, 1500.0f, 100.0f, -15.0f, 0.2f , 2.0f , 10.0f})), | |
| framework::dataset::make("End",{ 100.0f, 15.0f, 2500.0f, -1000.0f, 15.0f, 10.0f, 10.0f,100.0f })), | |
| framework::dataset::make("Step",{ 100.0f, 15.0f, 10.0f, 100.0f, -15.0f, 1.0f, 0.0f, 10.0f })), | |
| framework::dataset::make("Expected", { false, //1-D tensor expected | |
| false, //start == end | |
| false, //output vector size insufficient | |
| false, //sign of step incorrect | |
| false, //sign of step incorrect | |
| false, //data type incompatible | |
| false, //step = 0 | |
| true, | |
| })), | |
| output_info, start, end, step, expected) | |
| { | |
| ARM_COMPUTE_EXPECT(bool(CLRange::validate(&output_info, start, end, step)) == expected, framework::LogLevel::ERRORS); | |
| } | |
| // clang-format on | |
| // *INDENT-ON* | |
| template <typename T> | |
| using CLRangeFixture = RangeFixture<CLTensor, CLAccessor, CLRange, T>; | |
| TEST_SUITE(U8) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLRangeFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine( | |
| framework::dataset::make("DataType", DataType::U8), | |
| unsigned_start_dataset), | |
| unsigned_step_dataset), | |
| framework::dataset::make("QuantizationInfo", { QuantizationInfo() }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance, 0.f, abs_tolerance); | |
| } | |
| TEST_SUITE_END() //U8 | |
| TEST_SUITE(Quantized) | |
| TEST_SUITE(QASYMM8) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLRangeFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine( | |
| framework::dataset::make("DataType", DataType::QASYMM8), | |
| start_dataset), | |
| step_dataset), | |
| framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.3457f, 120.0f) }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance, 0.f, abs_tolerance); | |
| } | |
| TEST_SUITE_END() //QASYMM8 | |
| TEST_SUITE_END() //Quantized | |
| TEST_SUITE(S16) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLRangeFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine( | |
| framework::dataset::make("DataType", DataType::S16), | |
| start_dataset), | |
| step_dataset), | |
| framework::dataset::make("QuantizationInfo", { QuantizationInfo() }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance, 0.f, abs_tolerance); | |
| } | |
| TEST_SUITE_END() //S16 | |
| TEST_SUITE(Float) | |
| TEST_SUITE(FP16) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLRangeFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine( | |
| framework::dataset::make("DataType", DataType::F16), | |
| start_dataset), | |
| float_step_dataset), | |
| framework::dataset::make("QuantizationInfo", { QuantizationInfo() }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance, 0.f, abs_tolerance); | |
| } | |
| TEST_SUITE_END() //FP16 | |
| TEST_SUITE(FP32) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLRangeFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine( | |
| framework::dataset::make("DataType", DataType::F32), | |
| start_dataset), | |
| float_step_dataset), | |
| framework::dataset::make("QuantizationInfo", { QuantizationInfo() }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance, 0.f, abs_tolerance); | |
| } | |
| TEST_SUITE_END() //FP32 | |
| TEST_SUITE_END() //Float | |
| TEST_SUITE_END() //Range | |
| TEST_SUITE_END() //CL | |
| } // namespace validation | |
| } // namespace test | |
| } // namespace arm_compute |