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-rw-r--r--tests/validation/NEON/Accumulate.cpp189
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diff --git a/tests/validation/NEON/Accumulate.cpp b/tests/validation/NEON/Accumulate.cpp
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-/*
- * 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
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