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Diffstat (limited to 'tests/validation/NEON/Convolution.cpp')
| -rw-r--r-- | tests/validation/NEON/Convolution.cpp | 497 |
1 files changed, 0 insertions, 497 deletions
diff --git a/tests/validation/NEON/Convolution.cpp b/tests/validation/NEON/Convolution.cpp deleted file mode 100644 index b942ddc408..0000000000 --- a/tests/validation/NEON/Convolution.cpp +++ /dev/null @@ -1,497 +0,0 @@ -/* - * 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/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) - -DATA_TEST_CASE(Configuration, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType", { DataType::U8, DataType::S16 })), - datasets::BorderModes()), - framework::dataset::make("filter_size", { 3 })), - shape, output_data_type, border_mode, filter_size) -{ - // Create tensors - Tensor src = create_tensor<Tensor>(shape, DataType::U8); - Tensor dst = create_tensor<Tensor>(shape, output_data_type); - - // Create conv matrix - std::array<int16_t, 9> conv = { 0 }; - - ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Create and configure function - NEConvolution3x3 convolution; - convolution.configure(&src, &dst, conv.data(), 0, border_mode); - - // Validate valid region - const ValidRegion dst_valid_region = shape_to_valid_region(shape, (border_mode == BorderMode::UNDEFINED), BorderSize(filter_size / 2)); - validate(dst.info()->valid_region(), dst_valid_region); - - // Validate padding - PaddingCalculator calculator(shape.x(), 8); - calculator.set_border_size(1); - calculator.set_border_mode(border_mode); - - const PaddingSize dst_padding = calculator.required_padding(); - - calculator.set_accessed_elements(16); - calculator.set_access_offset(-1); - - const PaddingSize src_padding = calculator.required_padding(); - - validate(src.info()->padding(), src_padding); - validate(dst.info()->padding(), dst_padding); -} - -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) -DATA_TEST_CASE(Configuration, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType", { DataType::U8, DataType::S16 })), - datasets::BorderModes()), - framework::dataset::make("filter_size", { 5 })), - shape, output_data_type, border_mode, filter_size) -{ - // Create tensors - Tensor src = create_tensor<Tensor>(shape, DataType::U8); - Tensor dst = create_tensor<Tensor>(shape, output_data_type); - - // Create conv matrix - std::array<int16_t, 25> conv = { 0 }; - - ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Create and configure function - NEConvolution5x5 convolution; - convolution.configure(&src, &dst, conv.data(), 0, border_mode); - - // Validate valid region - const ValidRegion dst_valid_region = shape_to_valid_region(shape, (border_mode == BorderMode::UNDEFINED), BorderSize(filter_size / 2)); - validate(dst.info()->valid_region(), dst_valid_region); - - // Validate padding - PaddingCalculator calculator(shape.x(), 8); - calculator.set_border_size(2); - calculator.set_border_mode(border_mode); - - const PaddingSize dst_padding = calculator.required_padding(); - - calculator.set_accessed_elements(16); - calculator.set_access_offset(-2); - - const PaddingSize src_padding = calculator.required_padding(); - - validate(src.info()->padding(), src_padding); - validate(dst.info()->padding(), dst_padding); -} - -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) -DATA_TEST_CASE(Configuration, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType", { DataType::U8, DataType::S16 })), - datasets::BorderModes()), - framework::dataset::make("filter_size", { 7 })), - shape, output_data_type, border_mode, filter_size) -{ - // Create tensors - Tensor src = create_tensor<Tensor>(shape, DataType::U8); - Tensor dst = create_tensor<Tensor>(shape, output_data_type); - - // Create conv matrix - std::array<int16_t, 49> conv = { 0 }; - - ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Create and configure function - NEConvolution7x7 convolution; - convolution.configure(&src, &dst, conv.data(), 0, border_mode); - - // Validate valid region - const ValidRegion dst_valid_region = shape_to_valid_region(shape, (border_mode == BorderMode::UNDEFINED), BorderSize(filter_size / 2)); - validate(dst.info()->valid_region(), dst_valid_region); - - // Validate padding - PaddingCalculator calculator(shape.x(), 8); - calculator.set_border_size(3); - calculator.set_border_mode(border_mode); - - const PaddingSize dst_padding = calculator.required_padding(); - - calculator.set_accessed_elements(16); - calculator.set_access_offset(-3); - - const PaddingSize src_padding = calculator.required_padding(); - - validate(src.info()->padding(), src_padding); - validate(dst.info()->padding(), dst_padding); -} - -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) -DATA_TEST_CASE(Configuration, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType", { DataType::U8, DataType::S16 })), - datasets::BorderModes()), - framework::dataset::make("filter_size", { 9 })), - shape, output_data_type, border_mode, filter_size) -{ - // Create tensors - Tensor src = create_tensor<Tensor>(shape, DataType::U8); - Tensor dst = create_tensor<Tensor>(shape, output_data_type); - - // Create conv matrix - std::array<int16_t, 81> conv = { 0 }; - - ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Create and configure function - NEConvolution9x9 convolution; - convolution.configure(&src, &dst, conv.data(), 0, border_mode); - - // Validate valid region - const ValidRegion dst_valid_region = shape_to_valid_region(shape, (border_mode == BorderMode::UNDEFINED), BorderSize(filter_size / 2)); - validate(dst.info()->valid_region(), dst_valid_region); - - // Validate padding - PaddingCalculator calculator(shape.x(), 8); - calculator.set_border_size(4); - calculator.set_border_mode(border_mode); - - const PaddingSize dst_padding = calculator.required_padding(); - - calculator.set_accessed_elements(16); - calculator.set_access_offset(-4); - - const PaddingSize src_padding = calculator.required_padding(); - - validate(src.info()->padding(), src_padding); - validate(dst.info()->padding(), dst_padding); -} - -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) -DATA_TEST_CASE(Configuration, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType", -{ DataType::U8, DataType::S16 })), -datasets::BorderModes()), -framework::dataset::make("filter_width", { 3, 5, 7, 9 })), -framework::dataset::make("filter_height", { 3, 5, 7, 9 })), -shape, output_data_type, border_mode, filter_width, filter_height) -{ - // Create tensors - Tensor src = create_tensor<Tensor>(shape, DataType::U8); - Tensor dst = create_tensor<Tensor>(shape, output_data_type); - - // Create conv matrix - std::vector<int16_t> conv(filter_height * filter_width); - - ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Create and configure function - NEConvolutionRectangle convolution; - convolution.configure(&src, &dst, conv.data(), filter_width, filter_height, 1, border_mode); - - // Validate valid region - const ValidRegion dst_valid_region = shape_to_valid_region(shape, (border_mode == BorderMode::UNDEFINED), BorderSize(filter_height / 2, filter_width / 2)); - validate(dst.info()->valid_region(), dst_valid_region); - - // Validate padding - PaddingCalculator calculator(shape.x(), 8); - calculator.set_border_size(filter_width / 2); - calculator.set_border_mode(border_mode); - - const PaddingSize dst_padding = calculator.required_padding(); - - calculator.set_accessed_elements(16); - calculator.set_access_offset(-(filter_width / 2)); - - const PaddingSize width_padding = calculator.required_padding(); - - calculator.set_border_size(filter_height / 2); - calculator.set_access_offset(-(filter_height / 2)); - const PaddingSize height_padding = calculator.required_padding(); - - validate(src.info()->padding(), width_padding, height_padding); - validate(dst.info()->padding(), dst_padding); -} - -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 |