diff options
author | John Richardson <john.richardson@arm.com> | 2017-09-07 11:21:10 +0100 |
---|---|---|
committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:35:24 +0000 |
commit | 6f4d49f95c3598e41a7532faa637f42d8be5f4dd (patch) | |
tree | 78bdf01c935b4f195d65a09cd734b63aba3bfe7a /tests/validation | |
parent | e997859ed978a42191e429f9357c95c38d84baaa (diff) | |
download | ComputeLibrary-6f4d49f95c3598e41a7532faa637f42d8be5f4dd.tar.gz |
COMPMID-504: Move NonLinearFilter to new validation
Change-Id: Ie2e9c34dd541cf570b9aef29d94ac79e2360e0e9
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/87580
Reviewed-by: Moritz Pflanzer <moritz.pflanzer@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Diffstat (limited to 'tests/validation')
-rw-r--r-- | tests/validation/CL/NonLinearFilter.cpp | 119 | ||||
-rw-r--r-- | tests/validation/CPP/NonLinearFilter.cpp | 104 | ||||
-rw-r--r-- | tests/validation/CPP/NonLinearFilter.h | 44 | ||||
-rw-r--r-- | tests/validation/Helpers.h | 50 | ||||
-rw-r--r-- | tests/validation/NEON/NonLinearFilter.cpp | 119 | ||||
-rw-r--r-- | tests/validation/fixtures/NonLinearFilterFixture.h | 119 |
6 files changed, 555 insertions, 0 deletions
diff --git a/tests/validation/CL/NonLinearFilter.cpp b/tests/validation/CL/NonLinearFilter.cpp new file mode 100644 index 0000000000..ad26b8e318 --- /dev/null +++ b/tests/validation/CL/NonLinearFilter.cpp @@ -0,0 +1,119 @@ +/* + * 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/runtime/CL/functions/CLNonLinearFilter.h" +#include "tests/CL/CLAccessor.h" +#include "tests/PaddingCalculator.h" +#include "tests/datasets/BorderModeDataset.h" +#include "tests/datasets/MatrixPatternDataset.h" +#include "tests/datasets/NonLinearFilterFunctionDataset.h" +#include "tests/datasets/ShapeDatasets.h" +#include "tests/framework/Macros.h" +#include "tests/validation/Validation.h" +#include "tests/validation/fixtures/NonLinearFilterFixture.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +TEST_SUITE(CL) +TEST_SUITE(NonLinearFilter) + +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), datasets::NonLinearFilterFunctions()), + framework::dataset::make("MaskSize", { 3U, 5U })), + datasets::MatrixPatterns()), + datasets::BorderModes()), + shape, function, mask_size, pattern, border_mode) +{ + std::mt19937 generator(library->seed()); + std::uniform_int_distribution<uint8_t> distribution_u8(0, 255); + const uint8_t constant_border_value = distribution_u8(generator); + + // Create the mask + uint8_t mask[mask_size * mask_size]; + fill_mask_from_pattern(mask, mask_size, mask_size, pattern); + const auto half_mask_size = static_cast<int>(mask_size / 2); + + // Create tensors + CLTensor src = create_tensor<CLTensor>(shape, DataType::U8); + CLTensor dst = create_tensor<CLTensor>(shape, DataType::U8); + + ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); + + // Create and configure function + CLNonLinearFilter filter; + filter.configure(&src, &dst, function, mask_size, pattern, mask, border_mode, constant_border_value); + + // Validate valid region + const ValidRegion dst_valid_region = shape_to_valid_region(shape, border_mode == BorderMode::UNDEFINED, BorderSize(half_mask_size)); + validate(dst.info()->valid_region(), dst_valid_region); + + // Validate padding + PaddingCalculator calculator(shape.x(), ((MatrixPattern::OTHER == pattern) ? 1 : 8)); + calculator.set_border_mode(border_mode); + calculator.set_border_size(half_mask_size); + + const PaddingSize write_padding = calculator.required_padding(PaddingCalculator::Option::EXCLUDE_BORDER); + + calculator.set_accessed_elements(16); + calculator.set_access_offset(-half_mask_size); + + const PaddingSize read_padding = calculator.required_padding(PaddingCalculator::Option::INCLUDE_BORDER); + + validate(src.info()->padding(), read_padding); + validate(dst.info()->padding(), write_padding); +} + +template <typename T> +using CLNonLinearFilterFixture = NonLinearFilterValidationFixture<CLTensor, CLAccessor, CLNonLinearFilter, T>; + +FIXTURE_DATA_TEST_CASE(RunSmall, CLNonLinearFilterFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), + datasets::NonLinearFilterFunctions()), + framework::dataset::make("MaskSize", { 3U, 5U })), + datasets::MatrixPatterns()), + datasets::BorderModes()), + framework::dataset::make("DataType", DataType::U8))) +{ + // Validate output + validate(CLAccessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), _border_size)); +} + +FIXTURE_DATA_TEST_CASE(RunLarge, CLNonLinearFilterFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), + datasets::NonLinearFilterFunctions()), + framework::dataset::make("MaskSize", { 3U, 5U })), + datasets::MatrixPatterns()), + datasets::BorderModes()), + framework::dataset::make("DataType", DataType::U8))) +{ + // Validate output + validate(CLAccessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), _border_size)); +} + +TEST_SUITE_END() +TEST_SUITE_END() +} // namespace validation +} // namespace test +} // namespace arm_compute diff --git a/tests/validation/CPP/NonLinearFilter.cpp b/tests/validation/CPP/NonLinearFilter.cpp new file mode 100644 index 0000000000..8669c9c776 --- /dev/null +++ b/tests/validation/CPP/NonLinearFilter.cpp @@ -0,0 +1,104 @@ +/* + * 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 src 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 src 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. src NO EVENT SHALL THE + * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER + * LIABILITY, WHETHER src AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, + * dst OF OR src CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE + * SOFTWARE. + */ +#include "NonLinearFilter.h" +#include "Utils.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace reference +{ +template <typename T> +SimpleTensor<T> non_linear_filter(const SimpleTensor<T> &src, NonLinearFilterFunction function, unsigned int mask_size, MatrixPattern pattern, const uint8_t *mask, BorderMode border_mode, + uint8_t constant_border_value) +{ + SimpleTensor<T> dst(src.shape(), src.data_type()); + + ARM_COMPUTE_ERROR_ON(pattern == MatrixPattern::OTHER && mask == nullptr); + ARM_COMPUTE_UNUSED(pattern); + + using intermediate_type = typename common_promoted_signed_type<T>::intermediate_type; + + const int sq_mask_size = mask_size * mask_size; + const int half_mask_size = mask_size / 2; + std::vector<intermediate_type> vals(sq_mask_size); + intermediate_type current_value = 0; + + const ValidRegion valid_region = shape_to_valid_region(src.shape(), border_mode == BorderMode::UNDEFINED, BorderSize(half_mask_size)); + + for(int element_idx = 0, count = 0, index = 0; element_idx < src.num_elements(); ++element_idx, count = 0, index = 0) + { + Coordinates id = index2coord(src.shape(), element_idx); + if(is_in_valid_region(valid_region, id)) + { + int idx = id.x(); + int idy = id.y(); + for(int y = idy - half_mask_size; y <= idy + half_mask_size; ++y) + { + for(int x = idx - half_mask_size; x <= idx + half_mask_size; ++x, ++index) + { + id.set(0, x); + id.set(1, y); + current_value = tensor_elem_at(src, id, border_mode, constant_border_value); + + if(mask[index] == 255) + { + vals[count] = static_cast<intermediate_type>(current_value); + ++count; + } + } + } + std::sort(vals.begin(), vals.begin() + count); + + ARM_COMPUTE_ERROR_ON(count == 0); + + switch(function) + { + case NonLinearFilterFunction::MIN: + dst[element_idx] = saturate_cast<T>(vals[0]); + break; + case NonLinearFilterFunction::MAX: + dst[element_idx] = saturate_cast<T>(vals[count - 1]); + break; + case NonLinearFilterFunction::MEDIAN: + dst[element_idx] = saturate_cast<T>(vals[count / 2]); + break; + default: + ARM_COMPUTE_ERROR("Unsupported NonLinearFilter function."); + } + } + } + + return dst; +} + +template SimpleTensor<uint8_t> non_linear_filter(const SimpleTensor<uint8_t> &src, NonLinearFilterFunction function, unsigned int mask_size, MatrixPattern pattern, const uint8_t *mask, + BorderMode border_mode, uint8_t constant_border_value); +} // namespace reference +} // namespace validation +} // namespace test +} // namespace arm_compute diff --git a/tests/validation/CPP/NonLinearFilter.h b/tests/validation/CPP/NonLinearFilter.h new file mode 100644 index 0000000000..1df47c85be --- /dev/null +++ b/tests/validation/CPP/NonLinearFilter.h @@ -0,0 +1,44 @@ +/* + * 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. + */ +#ifndef __ARM_COMPUTE_TEST_BITWISE_NOT_H__ +#define __ARM_COMPUTE_TEST_BITWISE_NOT_H__ + +#include "tests/SimpleTensor.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace reference +{ +template <typename T> +SimpleTensor<T> non_linear_filter(const SimpleTensor<T> &src, NonLinearFilterFunction function, unsigned int mask_size, MatrixPattern pattern, const uint8_t *mask, BorderMode border_mode, + uint8_t constant_border_value); +} // namespace reference +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif /* __ARM_COMPUTE_TEST_BITWISE_NOT_H__ */ diff --git a/tests/validation/Helpers.h b/tests/validation/Helpers.h index 30959161bb..5fdd57f7ba 100644 --- a/tests/validation/Helpers.h +++ b/tests/validation/Helpers.h @@ -26,6 +26,7 @@ #include "arm_compute/core/Types.h" #include "arm_compute/core/Utils.h" +#include "tests/Globals.h" #include "tests/validation/half.h" #include <random> @@ -129,6 +130,55 @@ std::pair<T, T> get_activation_layer_test_bounds(ActivationLayerInfo::Activation return bounds; } +/** Fill mask with the corresponding given pattern. + * + * @param[in,out] mask Mask to be filled according to pattern + * @param[in] cols Columns (width) of mask + * @param[in] rows Rows (height) of mask + * @param[in] pattern Pattern to fill the mask according to + */ +inline void fill_mask_from_pattern(uint8_t *mask, int cols, int rows, MatrixPattern pattern) +{ + unsigned int v = 0; + std::mt19937 gen(library->seed()); + std::bernoulli_distribution dist(0.5); + + for(int r = 0; r < rows; ++r) + { + for(int c = 0; c < cols; ++c, ++v) + { + uint8_t val = 0; + + switch(pattern) + { + case MatrixPattern::BOX: + val = 255; + break; + case MatrixPattern::CROSS: + val = ((r == (rows / 2)) || (c == (cols / 2))) ? 255 : 0; + break; + case MatrixPattern::DISK: + val = (((r - rows / 2.0f + 0.5f) * (r - rows / 2.0f + 0.5f)) / ((rows / 2.0f) * (rows / 2.0f)) + ((c - cols / 2.0f + 0.5f) * (c - cols / 2.0f + 0.5f)) / ((cols / 2.0f) * + (cols / 2.0f))) <= 1.0f ? 255 : 0; + break; + case MatrixPattern::OTHER: + val = (dist(gen) ? 0 : 255); + break; + default: + return; + } + + mask[v] = val; + } + } + + if(pattern == MatrixPattern::OTHER) + { + std::uniform_int_distribution<uint8_t> distribution_u8(0, ((cols * rows) - 1)); + mask[distribution_u8(gen)] = 255; + } +} + /** Calculate output tensor shape give a vector of input tensor to concatenate * * @param[in] input_shapes Shapes of the tensors to concatenate across depth. diff --git a/tests/validation/NEON/NonLinearFilter.cpp b/tests/validation/NEON/NonLinearFilter.cpp new file mode 100644 index 0000000000..541e87045b --- /dev/null +++ b/tests/validation/NEON/NonLinearFilter.cpp @@ -0,0 +1,119 @@ +/* + * 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/runtime/NEON/functions/NENonLinearFilter.h" +#include "tests/NEON/Accessor.h" +#include "tests/PaddingCalculator.h" +#include "tests/datasets/BorderModeDataset.h" +#include "tests/datasets/MatrixPatternDataset.h" +#include "tests/datasets/NonLinearFilterFunctionDataset.h" +#include "tests/datasets/ShapeDatasets.h" +#include "tests/framework/Macros.h" +#include "tests/validation/Validation.h" +#include "tests/validation/fixtures/NonLinearFilterFixture.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +TEST_SUITE(NEON) +TEST_SUITE(NonLinearFilter) + +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), datasets::NonLinearFilterFunctions()), + framework::dataset::make("MaskSize", { 3U, 5U })), + datasets::MatrixPatterns()), + datasets::BorderModes()), + shape, function, mask_size, pattern, border_mode) +{ + std::mt19937 generator(library->seed()); + std::uniform_int_distribution<uint8_t> distribution_u8(0, 255); + const uint8_t constant_border_value = distribution_u8(generator); + + // Create the mask + uint8_t mask[mask_size * mask_size]; + fill_mask_from_pattern(mask, mask_size, mask_size, pattern); + const auto half_mask_size = static_cast<int>(mask_size / 2); + + // Create tensors + Tensor src = create_tensor<Tensor>(shape, DataType::U8); + Tensor dst = create_tensor<Tensor>(shape, DataType::U8); + + ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); + + // Create and configure function + NENonLinearFilter filter; + filter.configure(&src, &dst, function, mask_size, pattern, mask, border_mode, constant_border_value); + + // Validate valid region + const ValidRegion dst_valid_region = shape_to_valid_region(shape, border_mode == BorderMode::UNDEFINED, BorderSize(half_mask_size)); + validate(dst.info()->valid_region(), dst_valid_region); + + // Validate padding + PaddingCalculator calculator(shape.x(), ((MatrixPattern::OTHER == pattern) ? 1 : 8)); + calculator.set_border_mode(border_mode); + calculator.set_border_size(half_mask_size); + + const PaddingSize write_padding = calculator.required_padding(PaddingCalculator::Option::EXCLUDE_BORDER); + + calculator.set_accessed_elements(16); + calculator.set_access_offset(-half_mask_size); + + const PaddingSize read_padding = calculator.required_padding(PaddingCalculator::Option::INCLUDE_BORDER); + + validate(src.info()->padding(), read_padding); + validate(dst.info()->padding(), write_padding); +} + +template <typename T> +using NENonLinearFilterFixture = NonLinearFilterValidationFixture<Tensor, Accessor, NENonLinearFilter, T>; + +FIXTURE_DATA_TEST_CASE(RunSmall, NENonLinearFilterFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(), + datasets::NonLinearFilterFunctions()), + framework::dataset::make("MaskSize", { 3U, 5U })), + datasets::MatrixPatterns()), + datasets::BorderModes()), + framework::dataset::make("DataType", DataType::U8))) +{ + // Validate output + validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), _border_size)); +} + +FIXTURE_DATA_TEST_CASE(RunLarge, NENonLinearFilterFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), + datasets::NonLinearFilterFunctions()), + framework::dataset::make("MaskSize", { 3U, 5U })), + datasets::MatrixPatterns()), + datasets::BorderModes()), + framework::dataset::make("DataType", DataType::U8))) +{ + // Validate output + validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), _border_size)); +} + +TEST_SUITE_END() +TEST_SUITE_END() +} // namespace validation +} // namespace test +} // namespace arm_compute diff --git a/tests/validation/fixtures/NonLinearFilterFixture.h b/tests/validation/fixtures/NonLinearFilterFixture.h new file mode 100644 index 0000000000..2f22873488 --- /dev/null +++ b/tests/validation/fixtures/NonLinearFilterFixture.h @@ -0,0 +1,119 @@ +/* + * 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. + */ +#ifndef ARM_COMPUTE_TEST_NONLINEAR_FILTER_FIXTURE +#define ARM_COMPUTE_TEST_NONLINEAR_FILTER_FIXTURE + +#include "arm_compute/core/TensorShape.h" +#include "arm_compute/core/Types.h" +#include "tests/AssetsLibrary.h" +#include "tests/Globals.h" +#include "tests/IAccessor.h" +#include "tests/framework/Asserts.h" +#include "tests/framework/Fixture.h" +#include "tests/validation/CPP/NonLinearFilter.h" +#include "tests/validation/Helpers.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class NonLinearFilterValidationFixture : public framework::Fixture +{ +public: + template <typename...> + void setup(TensorShape shape, NonLinearFilterFunction function, unsigned int mask_size, MatrixPattern pattern, BorderMode border_mode, DataType data_type) + { + std::mt19937 generator(library->seed()); + std::uniform_int_distribution<uint8_t> distribution_u8(0, 255); + const uint8_t constant_border_value = distribution_u8(generator); + + // Create the mask + std::vector<uint8_t> mask(mask_size * mask_size); + fill_mask_from_pattern(mask.data(), mask_size, mask_size, pattern); + + _border_size = BorderSize(static_cast<int>(mask_size / 2)); + _target = compute_target(shape, data_type, function, mask_size, pattern, mask.data(), border_mode, constant_border_value); + _reference = compute_reference(shape, data_type, function, mask_size, pattern, mask.data(), border_mode, constant_border_value); + } + +protected: + template <typename U> + void fill(U &&tensor) + { + library->fill_tensor_uniform(tensor, 0); + } + + TensorType compute_target(const TensorShape &shape, DataType data_type, NonLinearFilterFunction function, unsigned int mask_size, MatrixPattern pattern, const uint8_t *mask, BorderMode border_mode, + uint8_t constant_border_value) + { + // Create tensors + TensorType src = create_tensor<TensorType>(shape, data_type); + TensorType dst = create_tensor<TensorType>(shape, data_type); + + // Create and configure function + FunctionType non_linear_filter; + non_linear_filter.configure(&src, &dst, function, mask_size, pattern, mask, border_mode, constant_border_value); + + ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); + + // Allocate tensors + src.allocator()->allocate(); + dst.allocator()->allocate(); + ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); + + // Fill tensors + fill(AccessorType(src)); + + // Compute function + non_linear_filter.run(); + + return dst; + } + + SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type, NonLinearFilterFunction function, unsigned int mask_size, MatrixPattern pattern, const uint8_t *mask, + BorderMode border_mode, uint8_t constant_border_value) + { + // Create reference + SimpleTensor<T> src{ shape, data_type }; + + // Fill reference + fill(src); + + return reference::non_linear_filter<T>(src, function, mask_size, pattern, mask, border_mode, constant_border_value); + } + + BorderMode _border_mode{}; + BorderSize _border_size{}; + TensorType _target{}; + SimpleTensor<T> _reference{}; +}; +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_NONLINEAR_FILTER_FIXTURE */ |