| /* |
| * Copyright (c) 2017-2019 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/NEAccumulate.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/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/AccumulateFixture.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace |
| { |
| /** Tolerance value for comparing reference's output against implementation's output for floating point data types */ |
| constexpr AbsoluteTolerance<float> tolerance(1.0f); |
| /** Input data sets **/ |
| const auto AccumulateU8Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset::make("DataType", DataType::U8)); |
| const auto AccumulateS16Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset::make("DataType", DataType::S16)); |
| } // namespace |
| TEST_SUITE(NEON) |
| TEST_SUITE(Accumulate) |
| |
| TEST_SUITE(U8) |
| DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), AccumulateS16Dataset), |
| shape, data_type, output_data_type) |
| { |
| // Create tensors |
| Tensor ref_src = create_tensor<Tensor>(shape, data_type); |
| Tensor dst = create_tensor<Tensor>(shape, output_data_type); |
| |
| // Create and Configure function |
| NEAccumulate accum; |
| accum.configure(&ref_src, &dst); |
| |
| // Validate valid region |
| const ValidRegion valid_region = shape_to_valid_region(shape); |
| validate(dst.info()->valid_region(), valid_region); |
| |
| // Validate padding |
| const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding(); |
| validate(ref_src.info()->padding(), padding); |
| validate(dst.info()->padding(), padding); |
| } |
| |
| template <typename T1> |
| using NEAccumulateFixture = AccumulateValidationFixture<Tensor, Accessor, NEAccumulate, T1, int16_t>; |
| |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEAccumulateFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AccumulateS16Dataset)) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, NEAccumulateFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AccumulateS16Dataset)) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance); |
| } |
| |
| TEST_SUITE_END() // U8 |
| TEST_SUITE_END() // Accumulate |
| |
| TEST_SUITE(AccumulateWeighted) |
| |
| TEST_SUITE(U8) |
| DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), AccumulateU8Dataset), |
| shape, data_type, output_data_type) |
| { |
| // Generate a random alpha value |
| std::mt19937 gen(library->seed()); |
| std::uniform_real_distribution<> float_dist(0, 1); |
| const float alpha = float_dist(gen); |
| |
| // Create tensors |
| Tensor ref_src = create_tensor<Tensor>(shape, data_type); |
| Tensor dst = create_tensor<Tensor>(shape, output_data_type); |
| |
| // Create and Configure function |
| NEAccumulateWeighted accum_weight; |
| accum_weight.configure(&ref_src, alpha, &dst); |
| |
| // Validate valid region |
| const ValidRegion valid_region = shape_to_valid_region(shape); |
| validate(dst.info()->valid_region(), valid_region); |
| |
| // Validate padding |
| const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding(); |
| validate(ref_src.info()->padding(), padding); |
| validate(dst.info()->padding(), padding); |
| } |
| |
| template <typename T1> |
| using NEAccumulateWeightedFixture = AccumulateWeightedValidationFixture<Tensor, Accessor, NEAccumulateWeighted, T1, uint8_t>; |
| |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEAccumulateWeightedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AccumulateU8Dataset)) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, NEAccumulateWeightedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AccumulateU8Dataset)) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance); |
| } |
| |
| TEST_SUITE_END() // U8 |
| TEST_SUITE_END() // AccumulateWeighted |
| |
| TEST_SUITE(AccumulateSquared) |
| |
| TEST_SUITE(U8) |
| DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), AccumulateS16Dataset), |
| shape, data_type, output_data_type) |
| { |
| // Generate a random shift value |
| std::mt19937 gen(library->seed()); |
| std::uniform_int_distribution<uint32_t> int_dist(0, 15); |
| const uint32_t shift = int_dist(gen); |
| |
| // Create tensors |
| Tensor ref_src = create_tensor<Tensor>(shape, data_type); |
| Tensor dst = create_tensor<Tensor>(shape, output_data_type); |
| |
| // Create and Configure function |
| NEAccumulateSquared accum_square; |
| accum_square.configure(&ref_src, shift, &dst); |
| |
| // Validate valid region |
| const ValidRegion valid_region = shape_to_valid_region(shape); |
| validate(dst.info()->valid_region(), valid_region); |
| |
| // Validate padding |
| const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding(); |
| validate(ref_src.info()->padding(), padding); |
| validate(dst.info()->padding(), padding); |
| } |
| |
| template <typename T1> |
| using NEAccumulateSquaredFixture = AccumulateSquaredValidationFixture<Tensor, Accessor, NEAccumulateSquared, T1, int16_t>; |
| |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEAccumulateSquaredFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AccumulateS16Dataset)) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, NEAccumulateSquaredFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AccumulateS16Dataset)) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance); |
| } |
| |
| TEST_SUITE_END() // U8 |
| TEST_SUITE_END() // AccumulateSquared |
| |
| TEST_SUITE_END() // NEON |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |