| /* |
| * Copyright (c) 2018-2019 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/NEON/functions/NERange.h" |
| #include "arm_compute/runtime/Tensor.h" |
| #include "arm_compute/runtime/TensorAllocator.h" |
| #include "tests/NEON/Accessor.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/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(NEON) |
| 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::QASYMM8), |
| 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, |
| 10.0f |
| })), |
| framework::dataset::make("End",{ 100.0f, |
| 15.0f, |
| 2500.0f, |
| -1000.0f, |
| 15.0f, |
| 10.0f, |
| 10.0f, |
| 100.0f, |
| 100.0f |
| })), |
| framework::dataset::make("Step",{ 100.0f, |
| 15.0f, |
| 10.0f, |
| 100.0f, |
| -15.0f, |
| 1.0f, |
| 0.0f, |
| 10.0f, |
| 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 |
| false, // invalid QASYMM8 datatype |
| true, |
| })), |
| output_info, start, end, step, expected) |
| { |
| ARM_COMPUTE_EXPECT(bool(NERange::validate(&output_info, start, end, step)) == expected, framework::LogLevel::ERRORS); |
| } |
| // clang-format on |
| // *INDENT-ON* |
| |
| template <typename T> |
| using NERangeFixture = RangeFixture<Tensor, Accessor, NERange, T>; |
| |
| TEST_SUITE(U8) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NERangeFixture<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(Accessor(_target), _reference, tolerance, 0.f, abs_tolerance); |
| } |
| TEST_SUITE_END() // U8 |
| |
| TEST_SUITE(S16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NERangeFixture<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(Accessor(_target), _reference, tolerance, 0.f, abs_tolerance); |
| } |
| TEST_SUITE_END() // S16 |
| |
| TEST_SUITE(Float) |
| #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| TEST_SUITE(FP16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NERangeFixture<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(Accessor(_target), _reference, tolerance, 0.f, abs_tolerance); |
| } |
| TEST_SUITE_END() // FP16 |
| #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| |
| TEST_SUITE(FP32) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NERangeFixture<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(Accessor(_target), _reference, tolerance, 0.f, abs_tolerance); |
| } |
| TEST_SUITE_END() // FP32 |
| TEST_SUITE_END() // Float |
| |
| TEST_SUITE_END() // Range |
| TEST_SUITE_END() // NEON |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |