/* * 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 tolerance(0.01f); constexpr AbsoluteTolerance 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 using CLRangeFixture = RangeFixture; TEST_SUITE(U8) FIXTURE_DATA_TEST_CASE(RunSmall, CLRangeFixture, 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, 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, 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, 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, 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