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-rw-r--r--tests/validation/NEON/Convolution.cpp295
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diff --git a/tests/validation/NEON/Convolution.cpp b/tests/validation/NEON/Convolution.cpp
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--- a/tests/validation/NEON/Convolution.cpp
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-/*
- * Copyright (c) 2017-2020 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/NEConvolution.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/BorderModeDataset.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/ConvolutionFixture.h"
-
-namespace arm_compute
-{
-namespace test
-{
-namespace validation
-{
-namespace
-{
-/** Tolerance value for comparing reference's output against implementation
- *
- * This is due to the fact that NEON target performs multiplication with reciprocal of scale,
- * while reference performs direct division with scale.
- */
-constexpr AbsoluteTolerance<uint8_t> tolerance_u8(1);
-constexpr AbsoluteTolerance<int16_t> tolerance_s16(1);
-} // namespace
-
-TEST_SUITE(NEON)
-TEST_SUITE(CustomConvolution)
-TEST_SUITE(Square3x3)
-template <typename T>
-using NEConvolutionFixture = ConvolutionSquareValidationFixture<Tensor, Accessor, NEConvolution3x3, T>;
-
-TEST_SUITE(U8)
-FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
- framework::dataset::make("DataType",
- DataType::U8)),
- datasets::BorderModes()),
- framework::dataset::make("filter_size", { 3 })))
-{
- // Validate output
- validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_u8);
-}
-TEST_SUITE_END() // U8
-
-TEST_SUITE(S16)
-FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
- framework::dataset::make("DataType",
- DataType::S16)),
- datasets::BorderModes()),
- framework::dataset::make("filter_size", { 3 })))
-{
- // Validate output
- validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_s16);
-}
-TEST_SUITE_END() // S16
-TEST_SUITE_END() // Square3x3
-
-TEST_SUITE(Square5x5)
-template <typename T>
-using NEConvolutionFixture = ConvolutionSquareValidationFixture<Tensor, Accessor, NEConvolution5x5, T>;
-
-TEST_SUITE(U8)
-FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
- framework::dataset::make("DataType",
- DataType::U8)),
- datasets::BorderModes()),
- framework::dataset::make("filter_size", { 5 })))
-{
- // Validate output
- validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_u8);
-}
-TEST_SUITE_END() // U8
-
-TEST_SUITE(S16)
-FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
- framework::dataset::make("DataType",
- DataType::S16)),
- datasets::BorderModes()),
- framework::dataset::make("filter_size", { 5 })))
-{
- // Validate output
- validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_s16);
-}
-TEST_SUITE_END() // S16
-TEST_SUITE_END() // Square5x5
-
-TEST_SUITE(Square7x7)
-template <typename T>
-using NEConvolutionFixture = ConvolutionSquareValidationFixture<Tensor, Accessor, NEConvolution7x7, T>;
-
-TEST_SUITE(U8)
-FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
- framework::dataset::make("DataType",
- DataType::U8)),
- datasets::BorderModes()),
- framework::dataset::make("filter_size", { 7 })))
-{
- // Validate output
- validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_u8);
-}
-TEST_SUITE_END() // U8
-
-TEST_SUITE(S16)
-FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
- framework::dataset::make("DataType",
- DataType::S16)),
- datasets::BorderModes()),
- framework::dataset::make("filter_size", { 7 })))
-{
- // Validate output
- validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_s16);
-}
-TEST_SUITE_END() // S16
-TEST_SUITE_END() // Square7x7
-
-TEST_SUITE(Square9x9)
-template <typename T>
-using NEConvolutionFixture = ConvolutionSquareValidationFixture<Tensor, Accessor, NEConvolution9x9, T>;
-
-TEST_SUITE(U8)
-FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
- framework::dataset::make("DataType",
- DataType::U8)),
- datasets::BorderModes()),
- framework::dataset::make("filter_size", { 9 })))
-{
- // Validate output
- validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_u8);
-}
-TEST_SUITE_END() // U8
-
-TEST_SUITE(S16)
-FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
- framework::dataset::make("DataType",
- DataType::S16)),
- datasets::BorderModes()),
- framework::dataset::make("filter_size", { 9 })))
-{
- // Validate output
- validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_s16);
-}
-TEST_SUITE_END() // S16
-TEST_SUITE_END() // Square9x9
-
-TEST_SUITE(Rectangle)
-template <typename T>
-using NEConvolutionFixture = ConvolutionRectangleValidationFixture<Tensor, Accessor, NEConvolutionRectangle, T>;
-
-TEST_SUITE(U8)
-FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
- framework::dataset::make("DataType",
- DataType::U8)),
- datasets::BorderModes()),
- framework::dataset::make("filter_width", { 3, 5, 7, 9 })),
- framework::dataset::make("filter_height", { 3, 5, 7, 9 })))
-{
- // Validate output
- validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_u8);
-}
-TEST_SUITE_END() // U8
-
-TEST_SUITE(S16)
-FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
- framework::dataset::make("DataType",
- DataType::S16)),
- datasets::BorderModes()),
- framework::dataset::make("filter_width", { 3, 5, 7, 9 })),
- framework::dataset::make("filter_height", { 3, 5, 7, 9 })))
-{
- // Validate output
- validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_s16);
-}
-TEST_SUITE_END() // S16
-TEST_SUITE_END() // Rectangle
-
-TEST_SUITE(Separable5x5)
-template <typename T>
-using NEConvolutionFixture = ConvolutionSeparableValidationFixture<Tensor, Accessor, NEConvolution5x5, T>;
-
-TEST_SUITE(U8)
-FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
- framework::dataset::make("DataType",
- DataType::U8)),
- datasets::BorderModes()),
- framework::dataset::make("filter_size", { 5 })))
-{
- // Validate output
- validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_u8);
-}
-TEST_SUITE_END() // U8
-
-TEST_SUITE(S16)
-FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
- framework::dataset::make("DataType",
- DataType::S16)),
- datasets::BorderModes()),
- framework::dataset::make("filter_size", { 5 })))
-{
- // Validate output
- validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_s16);
-}
-TEST_SUITE_END() // S16
-TEST_SUITE_END() // Separable5x5
-
-TEST_SUITE(Separable7x7)
-template <typename T>
-using NEConvolutionFixture = ConvolutionSeparableValidationFixture<Tensor, Accessor, NEConvolution7x7, T>;
-
-TEST_SUITE(U8)
-FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
- framework::dataset::make("DataType",
- DataType::U8)),
- datasets::BorderModes()),
- framework::dataset::make("filter_size", { 7 })))
-{
- // Validate output
- validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_u8);
-}
-TEST_SUITE_END() // U8
-
-TEST_SUITE(S16)
-FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
- framework::dataset::make("DataType",
- DataType::S16)),
- datasets::BorderModes()),
- framework::dataset::make("filter_size", { 7 })))
-{
- // Validate output
- validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_s16);
-}
-TEST_SUITE_END() // S16
-TEST_SUITE_END() // Separable7x7
-
-TEST_SUITE(Separable9x9)
-template <typename T>
-using NEConvolutionFixture = ConvolutionSeparableValidationFixture<Tensor, Accessor, NEConvolution9x9, T>;
-
-TEST_SUITE(U8)
-FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
- framework::dataset::make("DataType",
- DataType::U8)),
- datasets::BorderModes()),
- framework::dataset::make("filter_size", { 9 })))
-{
- // Validate output
- validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_u8);
-}
-TEST_SUITE_END() // U8
-
-TEST_SUITE(S16)
-FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
- framework::dataset::make("DataType",
- DataType::S16)),
- datasets::BorderModes()),
- framework::dataset::make("filter_size", { 9 })))
-{
- // Validate output
- validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_s16);
-}
-TEST_SUITE_END() // S16
-TEST_SUITE_END() // Separable9x9
-
-TEST_SUITE_END() // CustomConvolution
-TEST_SUITE_END() // NEON
-} // namespace validation
-} // namespace test
-} // namespace arm_compute
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