296 lines
20 KiB
C++
296 lines
20 KiB
C++
/*
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* Copyright (c) 2017-2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#include "arm_compute/core/Types.h"
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#include "arm_compute/runtime/NEON/functions/NEConvolution.h"
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#include "arm_compute/runtime/Tensor.h"
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#include "arm_compute/runtime/TensorAllocator.h"
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#include "tests/NEON/Accessor.h"
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#include "tests/PaddingCalculator.h"
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#include "tests/datasets/BorderModeDataset.h"
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#include "tests/datasets/ShapeDatasets.h"
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#include "tests/framework/Asserts.h"
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#include "tests/framework/Macros.h"
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#include "tests/framework/datasets/Datasets.h"
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#include "tests/validation/Validation.h"
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#include "tests/validation/fixtures/ConvolutionFixture.h"
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namespace arm_compute
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{
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namespace test
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{
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namespace validation
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{
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namespace
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{
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/** Tolerance value for comparing reference's output against implementation
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*
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* This is due to the fact that NEON target performs multiplication with reciprocal of scale,
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* while reference performs direct division with scale.
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*/
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constexpr AbsoluteTolerance<uint8_t> tolerance_u8(1);
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constexpr AbsoluteTolerance<int16_t> tolerance_s16(1);
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} // namespace
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TEST_SUITE(NEON)
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TEST_SUITE(CustomConvolution)
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TEST_SUITE(Square3x3)
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template <typename T>
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using NEConvolutionFixture = ConvolutionSquareValidationFixture<Tensor, Accessor, NEConvolution3x3, T>;
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TEST_SUITE(U8)
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FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
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framework::dataset::make("DataType",
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DataType::U8)),
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datasets::BorderModes()),
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framework::dataset::make("filter_size", { 3 })))
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{
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// Validate output
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validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_u8);
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}
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TEST_SUITE_END() // U8
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TEST_SUITE(S16)
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FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
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framework::dataset::make("DataType",
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DataType::S16)),
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datasets::BorderModes()),
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framework::dataset::make("filter_size", { 3 })))
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{
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// Validate output
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validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_s16);
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}
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TEST_SUITE_END() // S16
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TEST_SUITE_END() // Square3x3
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TEST_SUITE(Square5x5)
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template <typename T>
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using NEConvolutionFixture = ConvolutionSquareValidationFixture<Tensor, Accessor, NEConvolution5x5, T>;
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TEST_SUITE(U8)
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FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
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framework::dataset::make("DataType",
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DataType::U8)),
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datasets::BorderModes()),
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framework::dataset::make("filter_size", { 5 })))
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{
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// Validate output
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validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_u8);
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}
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TEST_SUITE_END() // U8
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TEST_SUITE(S16)
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FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
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framework::dataset::make("DataType",
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DataType::S16)),
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datasets::BorderModes()),
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framework::dataset::make("filter_size", { 5 })))
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{
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// Validate output
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validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_s16);
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}
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TEST_SUITE_END() // S16
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TEST_SUITE_END() // Square5x5
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TEST_SUITE(Square7x7)
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template <typename T>
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using NEConvolutionFixture = ConvolutionSquareValidationFixture<Tensor, Accessor, NEConvolution7x7, T>;
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TEST_SUITE(U8)
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FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
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framework::dataset::make("DataType",
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DataType::U8)),
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datasets::BorderModes()),
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framework::dataset::make("filter_size", { 7 })))
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{
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// Validate output
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validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_u8);
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}
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TEST_SUITE_END() // U8
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TEST_SUITE(S16)
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FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
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framework::dataset::make("DataType",
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DataType::S16)),
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datasets::BorderModes()),
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framework::dataset::make("filter_size", { 7 })))
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{
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// Validate output
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validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_s16);
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}
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TEST_SUITE_END() // S16
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TEST_SUITE_END() // Square7x7
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TEST_SUITE(Square9x9)
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template <typename T>
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using NEConvolutionFixture = ConvolutionSquareValidationFixture<Tensor, Accessor, NEConvolution9x9, T>;
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TEST_SUITE(U8)
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FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
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framework::dataset::make("DataType",
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DataType::U8)),
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datasets::BorderModes()),
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framework::dataset::make("filter_size", { 9 })))
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{
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// Validate output
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validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_u8);
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}
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TEST_SUITE_END() // U8
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TEST_SUITE(S16)
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FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
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framework::dataset::make("DataType",
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DataType::S16)),
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datasets::BorderModes()),
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framework::dataset::make("filter_size", { 9 })))
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{
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// Validate output
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validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_s16);
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}
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TEST_SUITE_END() // S16
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TEST_SUITE_END() // Square9x9
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TEST_SUITE(Rectangle)
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template <typename T>
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using NEConvolutionFixture = ConvolutionRectangleValidationFixture<Tensor, Accessor, NEConvolutionRectangle, T>;
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TEST_SUITE(U8)
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FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
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framework::dataset::make("DataType",
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DataType::U8)),
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datasets::BorderModes()),
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framework::dataset::make("filter_width", { 3, 5, 7, 9 })),
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framework::dataset::make("filter_height", { 3, 5, 7, 9 })))
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{
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// Validate output
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validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_u8);
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}
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TEST_SUITE_END() // U8
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TEST_SUITE(S16)
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FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
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framework::dataset::make("DataType",
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DataType::S16)),
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datasets::BorderModes()),
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framework::dataset::make("filter_width", { 3, 5, 7, 9 })),
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framework::dataset::make("filter_height", { 3, 5, 7, 9 })))
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{
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// Validate output
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validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_s16);
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}
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TEST_SUITE_END() // S16
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TEST_SUITE_END() // Rectangle
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TEST_SUITE(Separable5x5)
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template <typename T>
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using NEConvolutionFixture = ConvolutionSeparableValidationFixture<Tensor, Accessor, NEConvolution5x5, T>;
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TEST_SUITE(U8)
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FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
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framework::dataset::make("DataType",
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DataType::U8)),
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datasets::BorderModes()),
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framework::dataset::make("filter_size", { 5 })))
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{
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// Validate output
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validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_u8);
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}
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TEST_SUITE_END() // U8
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TEST_SUITE(S16)
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FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
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framework::dataset::make("DataType",
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DataType::S16)),
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datasets::BorderModes()),
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framework::dataset::make("filter_size", { 5 })))
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{
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// Validate output
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validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_s16);
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}
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TEST_SUITE_END() // S16
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TEST_SUITE_END() // Separable5x5
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TEST_SUITE(Separable7x7)
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template <typename T>
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using NEConvolutionFixture = ConvolutionSeparableValidationFixture<Tensor, Accessor, NEConvolution7x7, T>;
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TEST_SUITE(U8)
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FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
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framework::dataset::make("DataType",
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DataType::U8)),
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datasets::BorderModes()),
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framework::dataset::make("filter_size", { 7 })))
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{
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// Validate output
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validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_u8);
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}
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TEST_SUITE_END() // U8
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TEST_SUITE(S16)
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FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
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framework::dataset::make("DataType",
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DataType::S16)),
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datasets::BorderModes()),
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framework::dataset::make("filter_size", { 7 })))
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{
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// Validate output
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validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_s16);
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}
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TEST_SUITE_END() // S16
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TEST_SUITE_END() // Separable7x7
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TEST_SUITE(Separable9x9)
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template <typename T>
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using NEConvolutionFixture = ConvolutionSeparableValidationFixture<Tensor, Accessor, NEConvolution9x9, T>;
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TEST_SUITE(U8)
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FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
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framework::dataset::make("DataType",
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DataType::U8)),
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datasets::BorderModes()),
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framework::dataset::make("filter_size", { 9 })))
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{
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// Validate output
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validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_u8);
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}
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TEST_SUITE_END() // U8
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TEST_SUITE(S16)
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FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
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framework::dataset::make("DataType",
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DataType::S16)),
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datasets::BorderModes()),
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framework::dataset::make("filter_size", { 9 })))
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{
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// Validate output
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validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_s16);
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}
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TEST_SUITE_END() // S16
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TEST_SUITE_END() // Separable9x9
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TEST_SUITE_END() // CustomConvolution
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TEST_SUITE_END() // NEON
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} // namespace validation
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} // namespace test
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} // namespace arm_compute
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