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Diffstat (limited to 'tests/validation/NEON')
-rw-r--r-- | tests/validation/NEON/Accumulate.cpp | 189 |
1 files changed, 189 insertions, 0 deletions
diff --git a/tests/validation/NEON/Accumulate.cpp b/tests/validation/NEON/Accumulate.cpp new file mode 100644 index 0000000000..cb6894a586 --- /dev/null +++ b/tests/validation/NEON/Accumulate.cpp @@ -0,0 +1,189 @@ +/* + * Copyright (c) 2017 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(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), 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() +TEST_SUITE_END() + +TEST_SUITE(AccumulateWeighted) + +TEST_SUITE(U8) +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), 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() +TEST_SUITE_END() + +TEST_SUITE(AccumulateSquared) + +TEST_SUITE(U8) +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), 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() +TEST_SUITE_END() + +TEST_SUITE_END() +} // namespace validation +} // namespace test +} // namespace arm_compute |