diff options
author | Michalis Spyrou <michalis.spyrou@arm.com> | 2021-02-23 11:48:12 +0000 |
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committer | Michalis Spyrou <michalis.spyrou@arm.com> | 2021-03-03 15:04:20 +0000 |
commit | 473cb01e84cef6cab057e9492bfa3b68f708e5d7 (patch) | |
tree | a500b8a8afe6a0442e1a54fb8d52c77d22543bcb /tests/validation/fixtures | |
parent | f466d75f85938b96dd14675ec091193bdce12122 (diff) | |
download | ComputeLibrary-473cb01e84cef6cab057e9492bfa3b68f708e5d7.tar.gz |
Remove Compute Vision CL support
Resolves COMPMID-4151
Change-Id: I46f541efe8c4087f27794d2e158b6c1547d459ba
Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5160
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Diffstat (limited to 'tests/validation/fixtures')
36 files changed, 0 insertions, 5089 deletions
diff --git a/tests/validation/fixtures/AbsoluteDifferenceFixture.h b/tests/validation/fixtures/AbsoluteDifferenceFixture.h deleted file mode 100644 index 46118c9323..0000000000 --- a/tests/validation/fixtures/AbsoluteDifferenceFixture.h +++ /dev/null @@ -1,114 +0,0 @@ -/* - * 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_ABSOLUTE_DIFFERENCE_FIXTURE -#define ARM_COMPUTE_TEST_ABSOLUTE_DIFFERENCE_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/Helpers.h" -#include "tests/validation/reference/AbsoluteDifference.h" - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -template <typename TensorType, typename AccessorType, typename FunctionType, typename T> -class AbsoluteDifferenceValidationFixture : public framework::Fixture -{ -public: - template <typename...> - void setup(TensorShape shape, DataType data_type0, DataType data_type1, DataType output_data_type) - { - _target = compute_target(shape, data_type0, data_type1, output_data_type); - _reference = compute_reference(shape, data_type0, data_type1, output_data_type); - } - -protected: - template <typename U> - void fill(U &&tensor, int i) - { - library->fill_tensor_uniform(tensor, i); - } - - TensorType compute_target(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type) - { - // Create tensors - TensorType ref_src1 = create_tensor<TensorType>(shape, data_type0, 1); - TensorType ref_src2 = create_tensor<TensorType>(shape, data_type1, 1); - TensorType dst = create_tensor<TensorType>(shape, output_data_type, 1); - - // Create and configure function - FunctionType abs_diff; - abs_diff.configure(&ref_src1, &ref_src2, &dst); - - ARM_COMPUTE_EXPECT(ref_src1.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(ref_src2.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Allocate tensors - ref_src1.allocator()->allocate(); - ref_src2.allocator()->allocate(); - dst.allocator()->allocate(); - - ARM_COMPUTE_EXPECT(!ref_src1.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(!ref_src2.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Fill tensors - fill(AccessorType(ref_src1), 0); - fill(AccessorType(ref_src2), 1); - - // Compute function - abs_diff.run(); - - return dst; - } - - SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type) - { - // Create reference - SimpleTensor<T> ref_src1{ shape, data_type0, 1 }; - SimpleTensor<T> ref_src2{ shape, data_type1, 1 }; - - // Fill reference - fill(ref_src1, 0); - fill(ref_src2, 1); - - return reference::absolute_difference<T>(ref_src1, ref_src2, output_data_type); - } - - TensorType _target{}; - SimpleTensor<T> _reference{}; -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_ABSOLUTE_DIFFERENCE_FIXTURE */ diff --git a/tests/validation/fixtures/AccumulateFixture.h b/tests/validation/fixtures/AccumulateFixture.h deleted file mode 100644 index 7cea29c15d..0000000000 --- a/tests/validation/fixtures/AccumulateFixture.h +++ /dev/null @@ -1,193 +0,0 @@ -/* - * 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. - */ -#ifndef ARM_COMPUTE_TEST_ACCUMULATE_FIXTURE -#define ARM_COMPUTE_TEST_ACCUMULATE_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/Helpers.h" -#include "tests/validation/reference/Accumulate.h" - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2> -class AccumulateBaseValidationFixture : public framework::Fixture -{ -public: - template <typename...> - void setup(TensorShape shape, DataType data_type, DataType output_data_type) - { - _target = compute_target(shape, data_type, output_data_type); - _reference = compute_reference(shape, data_type, output_data_type); - } - -protected: - template <typename U, typename D> - void fill(U &&tensor, int i, D max) - { - library->fill_tensor_uniform(tensor, i, static_cast<D>(0), max); - } - - TensorType compute_target(const TensorShape &shape, DataType data_type, DataType output_data_type) - { - // Create tensors - TensorType ref_src = create_tensor<TensorType>(shape, data_type); - TensorType dst = create_tensor<TensorType>(shape, output_data_type); - - // Create and configure function - FunctionType accum; - accum_conf(accum, ref_src, dst); - - ARM_COMPUTE_EXPECT(ref_src.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Allocate tensors - ref_src.allocator()->allocate(); - dst.allocator()->allocate(); - - ARM_COMPUTE_EXPECT(!ref_src.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); - - const T1 max = std::numeric_limits<T1>::max(); - - // Fill tensors - fill(AccessorType(ref_src), 0, max); - fill(AccessorType(dst), 1, static_cast<T2>(max)); - - // Compute function - accum.run(); - - return dst; - } - - SimpleTensor<T2> compute_reference(const TensorShape &shape, DataType data_type, DataType output_data_type) - { - // Create reference - SimpleTensor<T1> ref_src{ shape, data_type }; - - const T1 max = std::numeric_limits<T1>::max(); - - // Fill reference - fill(ref_src, 0, max); - - return accum_ref(ref_src, output_data_type); - } - - virtual void accum_conf(FunctionType &func, const TensorType &input, TensorType &accum) = 0; - - virtual SimpleTensor<T2> accum_ref(const SimpleTensor<T1> &input, DataType output_data_type) = 0; - - TensorType _target{}; - SimpleTensor<T2> _reference{}; -}; - -template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2> -class AccumulateValidationFixture : public AccumulateBaseValidationFixture<TensorType, AccessorType, FunctionType, T1, T2> -{ -public: - template <typename...> - void setup(TensorShape shape, DataType data_type, DataType output_data_type) - { - AccumulateBaseValidationFixture<TensorType, AccessorType, FunctionType, T1, T2>::setup(shape, data_type, output_data_type); - } - - virtual void accum_conf(FunctionType &func, const TensorType &input, TensorType &accum) override - { - func.configure(&input, &accum); - } - - virtual SimpleTensor<T2> accum_ref(const SimpleTensor<T1> &input, DataType output_data_type) override - { - return reference::accumulate<T1, T2>(input, output_data_type); - } -}; - -template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2> -class AccumulateWeightedValidationFixture : public AccumulateBaseValidationFixture<TensorType, AccessorType, FunctionType, T1, T2> -{ -public: - template <typename...> - void setup(TensorShape shape, DataType data_type, DataType output_data_type) - { - std::mt19937 gen(library->seed()); - std::uniform_real_distribution<float> float_dist(0, 1); - - _alpha = float_dist(gen); - - AccumulateBaseValidationFixture<TensorType, AccessorType, FunctionType, T1, T2>::setup(shape, data_type, output_data_type); - } - - virtual void accum_conf(FunctionType &func, const TensorType &input, TensorType &accum) override - { - func.configure(&input, _alpha, &accum); - } - - virtual SimpleTensor<T2> accum_ref(const SimpleTensor<T1> &input, DataType output_data_type) override - { - return reference::accumulate_weighted<T1, T2>(input, _alpha, output_data_type); - } - - float _alpha{ 0.f }; -}; - -template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2> -class AccumulateSquaredValidationFixture : public AccumulateBaseValidationFixture<TensorType, AccessorType, FunctionType, T1, T2> -{ -public: - template <typename...> - void setup(TensorShape shape, DataType data_type, DataType output_data_type) - { - std::mt19937 gen(library->seed()); - std::uniform_int_distribution<uint32_t> int_dist(0, 15); - - _shift = int_dist(gen); - - AccumulateBaseValidationFixture<TensorType, AccessorType, FunctionType, T1, T2>::setup(shape, data_type, output_data_type); - } - - virtual void accum_conf(FunctionType &func, const TensorType &input, TensorType &accum) override - { - func.configure(&input, _shift, &accum); - } - - virtual SimpleTensor<T2> accum_ref(const SimpleTensor<T1> &input, DataType output_data_type) override - { - return reference::accumulate_squared<T1, T2>(input, _shift, output_data_type); - } - - uint32_t _shift{ 0U }; -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_ACCUMULATE_FIXTURE */ diff --git a/tests/validation/fixtures/Box3x3Fixture.h b/tests/validation/fixtures/Box3x3Fixture.h deleted file mode 100644 index 8caeec8400..0000000000 --- a/tests/validation/fixtures/Box3x3Fixture.h +++ /dev/null @@ -1,117 +0,0 @@ -/* - * 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_BOX3X3_FIXTURE -#define ARM_COMPUTE_TEST_BOX3X3_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/reference/Box3x3.h" - -#include <random> - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -template <typename TensorType, typename AccessorType, typename FunctionType, typename T> -class Box3x3ValidationFixture : public framework::Fixture -{ -public: - template <typename...> - void setup(TensorShape shape, DataType data_type, BorderMode border_mode) - { - std::mt19937 gen(library->seed()); - std::uniform_int_distribution<uint8_t> distribution(0, 255); - const uint8_t constant_border_value = distribution(gen); - - _border_mode = border_mode; - _target = compute_target(shape, data_type, border_mode, constant_border_value); - _reference = compute_reference(shape, data_type, 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, 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 box3x3; - box3x3.configure(&src, &dst, 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 - box3x3.run(); - - return dst; - } - - SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type, BorderMode border_mode, uint8_t constant_border_value) - { - ARM_COMPUTE_ERROR_ON(data_type != DataType::U8); - - // Create reference - SimpleTensor<T> src{ shape, data_type }; - - // Fill reference - fill(src); - - // Compute reference - return reference::box3x3<T>(src, border_mode, constant_border_value); - } - - BorderMode _border_mode{}; - TensorType _target{}; - SimpleTensor<T> _reference{}; -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_BOX3X3_FIXTURE */ diff --git a/tests/validation/fixtures/CannyEdgeFixture.h b/tests/validation/fixtures/CannyEdgeFixture.h deleted file mode 100644 index 8e82e6d2f0..0000000000 --- a/tests/validation/fixtures/CannyEdgeFixture.h +++ /dev/null @@ -1,121 +0,0 @@ -/* - * Copyright (c) 2017-2018 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_CANNY_EDGE_FIXTURE -#define ARM_COMPUTE_TEST_CANNY_EDGE_FIXTURE - -#include "arm_compute/core/TensorShape.h" -#include "arm_compute/core/Types.h" -#include "tests/AssetsLibrary.h" -#include "tests/Globals.h" -#include "tests/framework/Asserts.h" -#include "tests/framework/Fixture.h" -#include "tests/validation/Helpers.h" -#include "tests/validation/reference/CannyEdgeDetector.h" - -namespace arm_compute -{ -class CLCannyEdge; -class NECannyEdge; - -namespace test -{ -namespace validation -{ -template <typename TensorType, typename AccessorType, typename ArrayType, typename FunctionType, typename T> -class CannyEdgeValidationFixture : public framework::Fixture -{ -public: - template <typename...> - void setup(std::string image, int gradient_size, MagnitudeType norm_type, BorderMode border_mode, Format format) - { - CannyEdgeParameters params = canny_edge_parameters(); - - _target = compute_target(image, gradient_size, norm_type, border_mode, format, params); - _reference = compute_reference(image, gradient_size, norm_type, border_mode, format, params); - } - -protected: - template <typename U> - void fill(U &&tensor, RawTensor raw) - { - library->fill(tensor, raw); - } - - TensorType compute_target(const std::string &image, int gradient_size, MagnitudeType norm_type, BorderMode border_mode, Format format, const CannyEdgeParameters ¶ms) - { - // Load the image (cached by the library if loaded before) - const RawTensor &raw = library->get(image, format); - - // Create tensors - TensorType src = create_tensor<TensorType>(raw.shape(), format); - TensorType dst = create_tensor<TensorType>(raw.shape(), format); - src.info()->set_format(format); - dst.info()->set_format(format); - - // Create Canny edge configure function - FunctionType canny_edge; - canny_edge.configure(&src, &dst, params.upper_thresh, params.lower_thresh, gradient_size, static_cast<int>(norm_type) + 1, border_mode, params.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), raw); - - // Compute function - canny_edge.run(); - - return dst; - } - - SimpleTensor<T> compute_reference(const std::string &image, int gradient_size, MagnitudeType norm_type, BorderMode border_mode, Format format, const CannyEdgeParameters ¶ms) - { - ARM_COMPUTE_ERROR_ON(format != Format::U8); - - // Load the image (cached by the library if loaded before) - const RawTensor &raw = library->get(image, format); - - // Create reference - SimpleTensor<T> src{ raw.shape(), format }; - - // Fill reference - fill(src, raw); - - return reference::canny_edge_detector<T>(src, params.upper_thresh, params.lower_thresh, gradient_size, norm_type, border_mode, params.constant_border_value); - } - - TensorType _target{}; - SimpleTensor<T> _reference{}; -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_CANNY_EDGE_FIXTURE */ diff --git a/tests/validation/fixtures/ChannelCombineFixture.h b/tests/validation/fixtures/ChannelCombineFixture.h deleted file mode 100644 index f0d927a992..0000000000 --- a/tests/validation/fixtures/ChannelCombineFixture.h +++ /dev/null @@ -1,266 +0,0 @@ -/* - * Copyright (c) 2017-2018 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_CHANNEL_COMBINE_FIXTURE -#define ARM_COMPUTE_TEST_CHANNEL_COMBINE_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/Helpers.h" -#include "tests/validation/reference/ChannelCombine.h" - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -namespace -{ -template <typename TensorType> -inline std::vector<TensorType> create_tensor_planes(const TensorShape &shape, Format format) -{ - TensorShape image_shape = adjust_odd_shape(shape, format); - TensorInfo info(image_shape, Format::U8); - - std::vector<TensorType> tensor_planes; - - switch(format) - { - case Format::RGB888: - case Format::RGBA8888: - case Format::YUV444: - { - tensor_planes.resize(3); - - if(format == Format::RGBA8888) - { - tensor_planes.resize(4); - } - - for(unsigned int plane_idx = 0; plane_idx < tensor_planes.size(); ++plane_idx) - { - tensor_planes[plane_idx].allocator()->init(info); - } - - break; - } - case Format::YUYV422: - case Format::UYVY422: - { - const TensorShape uv_shape = calculate_subsampled_shape(image_shape, format); - const TensorInfo info_hor2(uv_shape, Format::U8); - - tensor_planes.resize(3); - - tensor_planes[0].allocator()->init(info); - tensor_planes[1].allocator()->init(info_hor2); - tensor_planes[2].allocator()->init(info_hor2); - break; - } - case Format::NV12: - case Format::NV21: - case Format::IYUV: - { - const TensorShape sub2_shape = calculate_subsampled_shape(image_shape, format); - const TensorInfo info_sub2(sub2_shape, Format::U8); - - tensor_planes.resize(3); - - tensor_planes[0].allocator()->init(info); - tensor_planes[1].allocator()->init(info_sub2); - tensor_planes[2].allocator()->init(info_sub2); - break; - } - default: - ARM_COMPUTE_ERROR("Not supported"); - break; - } - - return tensor_planes; -} -} // namespace - -template <typename MultiImageType, typename TensorType, typename AccessorType, typename FunctionType, typename T> -class ChannelCombineValidationFixture : public framework::Fixture -{ -public: - template <typename...> - void setup(TensorShape shape, Format format) - { - _num_planes = num_planes_from_format(format); - _target = compute_target(shape, format); - _reference = compute_reference(shape, format); - } - -protected: - template <typename U> - void fill(U &&tensor, int i) - { - library->fill_tensor_uniform(tensor, i); - } - - template <typename U> - std::vector<SimpleTensor<U>> create_tensor_planes_reference(const TensorShape &shape, Format format) - { - std::vector<SimpleTensor<U>> tensor_planes; - - TensorShape image_shape = adjust_odd_shape(shape, format); - - switch(format) - { - case Format::RGB888: - case Format::RGBA8888: - case Format::YUV444: - { - if(format == Format::RGBA8888) - { - tensor_planes.emplace_back(image_shape, Format::U8); - } - - tensor_planes.emplace_back(image_shape, Format::U8); - tensor_planes.emplace_back(image_shape, Format::U8); - tensor_planes.emplace_back(image_shape, Format::U8); - break; - } - case Format::YUYV422: - case Format::UYVY422: - { - const TensorShape hor2_shape = calculate_subsampled_shape(image_shape, format); - - tensor_planes.emplace_back(image_shape, Format::U8); - tensor_planes.emplace_back(hor2_shape, Format::U8); - tensor_planes.emplace_back(hor2_shape, Format::U8); - break; - } - case Format::NV12: - case Format::NV21: - case Format::IYUV: - { - const TensorShape shape_sub2 = calculate_subsampled_shape(image_shape, format); - - tensor_planes.emplace_back(image_shape, Format::U8); - tensor_planes.emplace_back(shape_sub2, Format::U8); - tensor_planes.emplace_back(shape_sub2, Format::U8); - break; - } - default: - ARM_COMPUTE_ERROR("Not supported"); - break; - } - - return tensor_planes; - } - - MultiImageType compute_target(const TensorShape &shape, Format format) - { - // Create tensors - std::vector<TensorType> ref_src = create_tensor_planes<TensorType>(shape, format); - MultiImageType dst = create_multi_image<MultiImageType>(shape, format); - - // Create and configure function - FunctionType channel_combine; - - if(1 == _num_planes) - { - const TensorType *tensor_extra = ((Format::RGBA8888 == format) ? &ref_src[3] : nullptr); - TensorType *tensor_dst = dynamic_cast<TensorType *>(dst.plane(0)); - - channel_combine.configure(&ref_src[0], &ref_src[1], &ref_src[2], tensor_extra, tensor_dst); - } - else - { - channel_combine.configure(&ref_src[0], &ref_src[1], &ref_src[2], &dst); - } - - for(unsigned int plane_idx = 0; plane_idx < _num_planes; ++plane_idx) - { - const TensorType *dst_plane = static_cast<const TensorType *>(dst.plane(plane_idx)); - - ARM_COMPUTE_EXPECT(dst_plane->info()->is_resizable(), framework::LogLevel::ERRORS); - } - - for(unsigned int plane_idx = 0; plane_idx < ref_src.size(); ++plane_idx) - { - ARM_COMPUTE_EXPECT(ref_src[plane_idx].info()->is_resizable(), framework::LogLevel::ERRORS); - } - - // Allocate tensors - dst.allocate(); - - for(unsigned int plane_idx = 0; plane_idx < ref_src.size(); ++plane_idx) - { - ref_src[plane_idx].allocator()->allocate(); - } - - for(unsigned int plane_idx = 0; plane_idx < _num_planes; ++plane_idx) - { - const TensorType *dst_plane = static_cast<const TensorType *>(dst.plane(plane_idx)); - - ARM_COMPUTE_EXPECT(!dst_plane->info()->is_resizable(), framework::LogLevel::ERRORS); - } - - for(unsigned int plane_idx = 0; plane_idx < ref_src.size(); ++plane_idx) - { - ARM_COMPUTE_EXPECT(!ref_src[plane_idx].info()->is_resizable(), framework::LogLevel::ERRORS); - } - - // Fill tensor planes - for(unsigned int plane_idx = 0; plane_idx < ref_src.size(); ++plane_idx) - { - fill(AccessorType(ref_src[plane_idx]), plane_idx); - } - - // Compute function - channel_combine.run(); - - return dst; - } - - std::vector<SimpleTensor<T>> compute_reference(const TensorShape &shape, Format format) - { - // Create reference - std::vector<SimpleTensor<T>> ref_src = create_tensor_planes_reference<T>(shape, format); - - // Fill references - for(unsigned int plane_idx = 0; plane_idx < ref_src.size(); ++plane_idx) - { - fill(ref_src[plane_idx], plane_idx); - } - - return reference::channel_combine<T>(shape, ref_src, format); - } - - unsigned int _num_planes{}; - MultiImageType _target{}; - std::vector<SimpleTensor<T>> _reference{}; -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_CHANNEL_COMBINE_FIXTURE */ diff --git a/tests/validation/fixtures/ChannelExtractFixture.h b/tests/validation/fixtures/ChannelExtractFixture.h deleted file mode 100644 index 2f5694fcb1..0000000000 --- a/tests/validation/fixtures/ChannelExtractFixture.h +++ /dev/null @@ -1,192 +0,0 @@ -/* - * Copyright (c) 2017-2018 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_CHANNEL_EXTRACT_FIXTURE -#define ARM_COMPUTE_TEST_CHANNEL_EXTRACT_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/Helpers.h" -#include "tests/validation/reference/ChannelExtract.h" - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -template <typename MultiImageType, typename TensorType, typename AccessorType, typename FunctionType, typename T> -class ChannelExtractValidationFixture : public framework::Fixture -{ -public: - template <typename...> - void setup(TensorShape shape, Format format, Channel channel) - { - shape = adjust_odd_shape(shape, format); - - _target = compute_target(shape, format, channel); - _reference = compute_reference(shape, format, channel); - } - -protected: - template <typename U> - void fill(U &&tensor, int i) - { - library->fill_tensor_uniform(tensor, i); - } - - std::vector<SimpleTensor<T>> create_tensor_planes_reference(const TensorShape &shape, Format format) - { - TensorShape input = adjust_odd_shape(shape, format); - - std::vector<SimpleTensor<T>> tensor_planes; - - switch(format) - { - case Format::RGB888: - case Format::RGBA8888: - case Format::YUYV422: - case Format::UYVY422: - { - tensor_planes.emplace_back(input, format); - break; - } - case Format::NV12: - case Format::NV21: - { - const TensorShape shape_uv88 = calculate_subsampled_shape(shape, Format::UV88); - - tensor_planes.emplace_back(input, Format::U8); - tensor_planes.emplace_back(shape_uv88, Format::UV88); - break; - } - case Format::IYUV: - { - const TensorShape shape_sub2 = calculate_subsampled_shape(shape, Format::IYUV); - - tensor_planes.emplace_back(input, Format::U8); - tensor_planes.emplace_back(shape_sub2, Format::U8); - tensor_planes.emplace_back(shape_sub2, Format::U8); - break; - } - case Format::YUV444: - tensor_planes.emplace_back(input, Format::U8); - tensor_planes.emplace_back(input, Format::U8); - tensor_planes.emplace_back(input, Format::U8); - break; - default: - ARM_COMPUTE_ERROR("Not supported"); - break; - } - - return tensor_planes; - } - - TensorType compute_target(const TensorShape &shape, Format format, Channel channel) - { - const unsigned int num_planes = num_planes_from_format(format); - - TensorShape dst_shape = calculate_subsampled_shape(shape, format, channel); - - // Create tensors - MultiImageType ref_src = create_multi_image<MultiImageType>(shape, format); - TensorType dst = create_tensor<TensorType>(dst_shape, Format::U8); - - // Create and configure function - FunctionType channel_extract; - - if(1U == num_planes) - { - const TensorType *plane_src = static_cast<TensorType *>(ref_src.plane(0)); - - channel_extract.configure(plane_src, channel, &dst); - } - else - { - channel_extract.configure(&ref_src, channel, &dst); - } - - for(unsigned int plane_idx = 0; plane_idx < num_planes; ++plane_idx) - { - const TensorType *src_plane = static_cast<const TensorType *>(ref_src.plane(plane_idx)); - - ARM_COMPUTE_EXPECT(src_plane->info()->is_resizable(), framework::LogLevel::ERRORS); - } - - ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Allocate tensors - ref_src.allocate(); - dst.allocator()->allocate(); - - for(unsigned int plane_idx = 0; plane_idx < num_planes; ++plane_idx) - { - const TensorType *src_plane = static_cast<const TensorType *>(ref_src.plane(plane_idx)); - - ARM_COMPUTE_EXPECT(!src_plane->info()->is_resizable(), framework::LogLevel::ERRORS); - } - - ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Fill tensor planes - for(unsigned int plane_idx = 0; plane_idx < num_planes; ++plane_idx) - { - TensorType *src_plane = static_cast<TensorType *>(ref_src.plane(plane_idx)); - - fill(AccessorType(*src_plane), plane_idx); - } - - // Compute function - channel_extract.run(); - - return dst; - } - - SimpleTensor<T> compute_reference(const TensorShape &shape, Format format, Channel channel) - { - const unsigned int num_planes = num_planes_from_format(format); - - // Create reference - std::vector<SimpleTensor<T>> ref_src = create_tensor_planes_reference(shape, format); - - // Fill references - for(unsigned int plane_idx = 0; plane_idx < num_planes; ++plane_idx) - { - fill(ref_src[plane_idx], plane_idx); - } - - return reference::channel_extract<T>(shape, ref_src, format, channel); - } - - TensorType _target{}; - SimpleTensor<T> _reference{}; -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_CHANNEL_EXTRACT_FIXTURE */ diff --git a/tests/validation/fixtures/ColorConvertFixture.h b/tests/validation/fixtures/ColorConvertFixture.h deleted file mode 100644 index a5ed5548d5..0000000000 --- a/tests/validation/fixtures/ColorConvertFixture.h +++ /dev/null @@ -1,218 +0,0 @@ -/* - * Copyright (c) 2017-2018 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_COLOR_CONVERT_FIXTURE -#define ARM_COMPUTE_TEST_COLOR_CONVERT_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/Helpers.h" -#include "tests/validation/reference/ColorConvert.h" - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -namespace -{ -} -template <typename MultiImageType, typename TensorType, typename AccessorType, typename FunctionType, typename T> -class ColorConvertValidationFixture : public framework::Fixture -{ -public: - template <typename...> - void setup(TensorShape shape, Format src_format, Format dst_format) - { - shape = adjust_odd_shape(shape, src_format); - shape = adjust_odd_shape(shape, dst_format); - - _target = compute_target(shape, src_format, dst_format); - _reference = compute_reference(shape, src_format, dst_format); - } - -protected: - template <typename U> - void fill(U &&tensor, int i) - { - library->fill_tensor_uniform(tensor, i); - } - - std::vector<SimpleTensor<T>> create_tensor_planes_reference(const TensorShape &shape, Format format) - { - std::vector<SimpleTensor<T>> tensor_planes; - - switch(format) - { - case Format::RGB888: - case Format::RGBA8888: - case Format::YUYV422: - case Format::UYVY422: - { - tensor_planes.emplace_back(shape, format); - break; - } - case Format::NV12: - case Format::NV21: - { - const TensorShape shape_uv88 = calculate_subsampled_shape(shape, Format::UV88); - - tensor_planes.emplace_back(shape, Format::U8); - tensor_planes.emplace_back(shape_uv88, Format::UV88); - break; - } - case Format::IYUV: - { - const TensorShape shape_sub2 = calculate_subsampled_shape(shape, Format::IYUV); - - tensor_planes.emplace_back(shape, Format::U8); - tensor_planes.emplace_back(shape_sub2, Format::U8); - tensor_planes.emplace_back(shape_sub2, Format::U8); - break; - } - case Format::YUV444: - { - tensor_planes.emplace_back(shape, Format::U8); - tensor_planes.emplace_back(shape, Format::U8); - tensor_planes.emplace_back(shape, Format::U8); - break; - } - default: - ARM_COMPUTE_ERROR("Not supported"); - break; - } - - return tensor_planes; - } - - MultiImageType compute_target(const TensorShape &shape, Format src_format, Format dst_format) - { - _src_num_planes = num_planes_from_format(src_format); - _dst_num_planes = num_planes_from_format(dst_format); - - // Create tensors - MultiImageType ref_src = create_multi_image<MultiImageType>(shape, src_format); - MultiImageType ref_dst = create_multi_image<MultiImageType>(shape, dst_format); - - // Create and configure function - FunctionType color_convert; - - if(1U == _src_num_planes) - { - const TensorType *plane_src = static_cast<TensorType *>(ref_src.plane(0)); - - if(1U == _dst_num_planes) - { - TensorType *plane_dst = static_cast<TensorType *>(ref_dst.plane(0)); - color_convert.configure(plane_src, plane_dst); - } - else - { - color_convert.configure(plane_src, &ref_dst); - } - } - else - { - if(1U == _dst_num_planes) - { - TensorType *plane_dst = static_cast<TensorType *>(ref_dst.plane(0)); - color_convert.configure(&ref_src, plane_dst); - } - else - { - color_convert.configure(&ref_src, &ref_dst); - } - } - - for(unsigned int plane_idx = 0; plane_idx < _src_num_planes; ++plane_idx) - { - const TensorType *src_plane = static_cast<const TensorType *>(ref_src.plane(plane_idx)); - - ARM_COMPUTE_EXPECT(src_plane->info()->is_resizable(), framework::LogLevel::ERRORS); - } - for(unsigned int plane_idx = 0; plane_idx < _dst_num_planes; ++plane_idx) - { - const TensorType *dst_plane = static_cast<const TensorType *>(ref_dst.plane(plane_idx)); - - ARM_COMPUTE_EXPECT(dst_plane->info()->is_resizable(), framework::LogLevel::ERRORS); - } - - // Allocate tensors - ref_src.allocate(); - ref_dst.allocate(); - - for(unsigned int plane_idx = 0; plane_idx < _src_num_planes; ++plane_idx) - { - const TensorType *src_plane = static_cast<const TensorType *>(ref_src.plane(plane_idx)); - ARM_COMPUTE_EXPECT(!src_plane->info()->is_resizable(), framework::LogLevel::ERRORS); - } - - for(unsigned int plane_idx = 0; plane_idx < _dst_num_planes; ++plane_idx) - { - const TensorType *dst_plane = static_cast<const TensorType *>(ref_dst.plane(plane_idx)); - ARM_COMPUTE_EXPECT(!dst_plane->info()->is_resizable(), framework::LogLevel::ERRORS); - } - - // Fill tensor planes - for(unsigned int plane_idx = 0; plane_idx < _src_num_planes; ++plane_idx) - { - TensorType *src_plane = static_cast<TensorType *>(ref_src.plane(plane_idx)); - - fill(AccessorType(*src_plane), plane_idx); - } - - // Compute function - color_convert.run(); - - return ref_dst; - } - - std::vector<SimpleTensor<T>> compute_reference(const TensorShape &shape, Format src_format, Format dst_format) - { - // Create reference - std::vector<SimpleTensor<T>> ref_src = create_tensor_planes_reference(shape, src_format); - - // Fill references - for(unsigned int plane_idx = 0; plane_idx < ref_src.size(); ++plane_idx) - { - fill(ref_src[plane_idx], plane_idx); - } - - return reference::color_convert<T>(shape, ref_src, src_format, dst_format); - } - - unsigned int _src_num_planes{}; - unsigned int _dst_num_planes{}; - MultiImageType _target{}; - std::vector<SimpleTensor<T>> _reference{}; -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_COLOR_CONVERT_FIXTURE */ diff --git a/tests/validation/fixtures/ConvolutionFixture.h b/tests/validation/fixtures/ConvolutionFixture.h deleted file mode 100644 index 4692e2faf8..0000000000 --- a/tests/validation/fixtures/ConvolutionFixture.h +++ /dev/null @@ -1,235 +0,0 @@ -/* - * 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. - */ -#ifndef ARM_COMPUTE_TEST_CONVOLUTION_FIXTURE -#define ARM_COMPUTE_TEST_CONVOLUTION_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/reference/Convolution.h" - -#include <random> - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -template <typename TensorType, typename AccessorType, typename FunctionType, typename T> -class ConvolutionValidationFixture : public framework::Fixture -{ -protected: - template <typename...> - void setup(TensorShape shape, DataType output_data_type, BorderMode border_mode, const unsigned int width, const unsigned int height, const bool is_separable = false) - { - std::mt19937 gen(library->seed()); - std::uniform_int_distribution<uint8_t> distribution(0, 255); - std::uniform_int_distribution<uint8_t> scale_distribution(1, 255); - const uint8_t constant_border_value = distribution(gen); - - // Generate random scale value between 1 and 255. - const uint32_t scale = scale_distribution(gen); - - ARM_COMPUTE_ERROR_ON(3 != width && 5 != width && 7 != width && 9 != width); - ARM_COMPUTE_ERROR_ON(3 != height && 5 != height && 7 != height && 9 != height); - - std::vector<int16_t> conv(width * height); - - _width = width; - _height = height; - - if(is_separable) - { - init_separable_conv(conv.data(), width, height, library->seed()); - } - else - { - init_conv(conv.data(), width, height, library->seed()); - } - - _target = compute_target(shape, output_data_type, conv.data(), scale, border_mode, constant_border_value); - _reference = compute_reference(shape, output_data_type, conv.data(), scale, border_mode, constant_border_value); - } - - template <typename U> - void fill(U &&tensor, int i) - { - library->fill_tensor_uniform(tensor, i); - } - - SimpleTensor<T> compute_reference(const TensorShape &shape, DataType output_data_type, const int16_t *conv, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value) - { - // Create reference - SimpleTensor<uint8_t> src{ shape, DataType::U8 }; - - // Fill reference - fill(src, 0); - - // Compute reference - return reference::convolution<T>(src, output_data_type, conv, scale, border_mode, constant_border_value, _width, _height); - } - - virtual TensorType compute_target(const TensorShape &shape, DataType output_data_type, const int16_t *conv, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value) = 0; - - BorderMode _border_mode{}; - TensorType _target{}; - SimpleTensor<T> _reference{}; - unsigned int _width{}; - unsigned int _height{}; -}; - -template <typename TensorType, typename AccessorType, typename FunctionType, typename T> -class ConvolutionSquareValidationFixture : public ConvolutionValidationFixture<TensorType, AccessorType, FunctionType, T> -{ -public: - template <typename...> - void setup(TensorShape shape, DataType output_data_type, BorderMode border_mode, const unsigned int width) - { - ConvolutionValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, output_data_type, border_mode, width, width); - } - -protected: - TensorType compute_target(const TensorShape &shape, DataType output_data_type, const int16_t *conv, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value) - { - // Create tensors - TensorType src = create_tensor<TensorType>(shape, DataType::U8); - TensorType dst = create_tensor<TensorType>(shape, output_data_type); - - // Create and configure function - FunctionType convolution; - convolution.configure(&src, &dst, conv, scale, 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 - this->fill(AccessorType(src), 0); - this->fill(AccessorType(dst), 1); - - // Compute function - convolution.run(); - - return dst; - } -}; - -template <typename TensorType, typename AccessorType, typename FunctionType, typename T> -class ConvolutionSeparableValidationFixture : public ConvolutionValidationFixture<TensorType, AccessorType, FunctionType, T> -{ -public: - template <typename...> - void setup(TensorShape shape, DataType output_data_type, BorderMode border_mode, const unsigned int width) - { - ConvolutionValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, output_data_type, border_mode, width, width, true); - } - -protected: - TensorType compute_target(const TensorShape &shape, DataType output_data_type, const int16_t *conv, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value) - { - // Create tensors - TensorType src = create_tensor<TensorType>(shape, DataType::U8); - TensorType dst = create_tensor<TensorType>(shape, output_data_type); - - // Create and configure function - FunctionType convolution; - convolution.configure(&src, &dst, conv, scale, 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 - this->fill(AccessorType(src), 0); - this->fill(AccessorType(dst), 1); - - // Compute function - convolution.run(); - - return dst; - } -}; - -template <typename TensorType, typename AccessorType, typename FunctionType, typename T> -class ConvolutionRectangleValidationFixture : public ConvolutionValidationFixture<TensorType, AccessorType, FunctionType, T> -{ -public: - template <typename...> - void setup(TensorShape shape, DataType output_data_type, BorderMode border_mode, const unsigned int width, const unsigned int height) - { - ConvolutionValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, output_data_type, border_mode, width, height); - } - -protected: - TensorType compute_target(const TensorShape &shape, DataType output_data_type, const int16_t *conv, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value) - { - // Create tensors - TensorType src = create_tensor<TensorType>(shape, DataType::U8); - TensorType dst = create_tensor<TensorType>(shape, output_data_type); - - // Create and configure function - FunctionType convolution; - convolution.configure(&src, &dst, conv, this->_width, this->_height, scale, 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 - this->fill(AccessorType(src), 0); - this->fill(AccessorType(dst), 1); - - // Compute function - convolution.run(); - - return dst; - } -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_CONVOLUTION_FIXTURE */ diff --git a/tests/validation/fixtures/DerivativeFixture.h b/tests/validation/fixtures/DerivativeFixture.h deleted file mode 100644 index e520a9e14e..0000000000 --- a/tests/validation/fixtures/DerivativeFixture.h +++ /dev/null @@ -1,142 +0,0 @@ -/* - * 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_DERIVATIVE_FIXTURE -#define ARM_COMPUTE_TEST_DERIVATIVE_FIXTURE - -#include "tests/Globals.h" -#include "tests/IAccessor.h" -#include "tests/Types.h" -#include "tests/framework/Asserts.h" -#include "tests/framework/Fixture.h" -#include "tests/validation/reference/Derivative.h" - -#include <memory> - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -template <typename TensorType, typename AccessorType, typename FunctionType, typename T, typename U> -class DerivativeValidationFixture : public framework::Fixture -{ -public: - template <typename...> - void setup(TensorShape shape, BorderMode border_mode, Format format, GradientDimension gradient_dimension) - { - // Generate a random constant value - std::mt19937 gen(library->seed()); - std::uniform_int_distribution<uint8_t> int_dist(0, 255); - const uint8_t constant_border_value = int_dist(gen); - - _border_mode = border_mode; - _target = compute_target(shape, border_mode, format, constant_border_value, gradient_dimension); - _reference = compute_reference(shape, border_mode, format, constant_border_value, gradient_dimension); - } - -protected: - template <typename V> - void fill(V &&tensor) - { - library->fill_tensor_uniform(tensor, 0); - } - - template <typename V> - void fill_zero(V &&tensor) - { - library->fill_tensor_uniform(tensor, 0, static_cast<U>(0), static_cast<U>(0)); - } - - std::pair<TensorType, TensorType> compute_target(const TensorShape &shape, BorderMode border_mode, Format format, uint8_t constant_border_value, GradientDimension gradient_dimension) - { - // Create tensors - TensorType src = create_tensor<TensorType>(shape, data_type_from_format(format)); - TensorType dst_x = create_tensor<TensorType>(shape, data_type_from_format(Format::S16)); - TensorType dst_y = create_tensor<TensorType>(shape, data_type_from_format(Format::S16)); - - src.info()->set_format(format); - dst_x.info()->set_format(Format::S16); - dst_y.info()->set_format(Format::S16); - - FunctionType derivative; - - switch(gradient_dimension) - { - case GradientDimension::GRAD_X: - derivative.configure(&src, &dst_x, nullptr, border_mode, constant_border_value); - break; - case GradientDimension::GRAD_Y: - derivative.configure(&src, nullptr, &dst_y, border_mode, constant_border_value); - break; - case GradientDimension::GRAD_XY: - derivative.configure(&src, &dst_x, &dst_y, border_mode, constant_border_value); - break; - default: - ARM_COMPUTE_ERROR("Gradient dimension not supported"); - } - - ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(dst_x.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(dst_y.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Allocate tensors - src.allocator()->allocate(); - dst_x.allocator()->allocate(); - dst_y.allocator()->allocate(); - - ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(!dst_x.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(!dst_y.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Fill tensors - fill(AccessorType(src)); - fill_zero(AccessorType(dst_x)); - fill_zero(AccessorType(dst_y)); - - // Compute function - derivative.run(); - - return std::make_pair(std::move(dst_x), std::move(dst_y)); - } - - std::pair<SimpleTensor<U>, SimpleTensor<U>> compute_reference(const TensorShape &shape, BorderMode border_mode, Format format, uint8_t constant_border_value, GradientDimension gradient_dimension) - { - // Create reference - SimpleTensor<T> src{ shape, format }; - - // Fill reference - fill(src); - - return reference::derivative<U>(src, border_mode, constant_border_value, gradient_dimension); - } - - BorderMode _border_mode{ BorderMode::UNDEFINED }; - std::pair<TensorType, TensorType> _target{}; - std::pair<SimpleTensor<U>, SimpleTensor<U>> _reference{}; -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_DERIVATIVE_FIXTURE */ diff --git a/tests/validation/fixtures/DilateFixture.h b/tests/validation/fixtures/DilateFixture.h deleted file mode 100644 index 51ed4df2d3..0000000000 --- a/tests/validation/fixtures/DilateFixture.h +++ /dev/null @@ -1,117 +0,0 @@ -/* - * 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_DILATE_FIXTURE -#define ARM_COMPUTE_TEST_DILATE_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/reference/Dilate.h" - -#include <random> - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -template <typename TensorType, typename AccessorType, typename FunctionType, typename T> -class DilateValidationFixture : public framework::Fixture -{ -public: - template <typename...> - void setup(TensorShape shape, DataType data_type, BorderMode border_mode) - { - std::mt19937 gen(library->seed()); - std::uniform_int_distribution<uint8_t> distribution(0, 255); - const uint8_t constant_border_value = distribution(gen); - - _border_mode = border_mode; - _target = compute_target(shape, data_type, border_mode, constant_border_value); - _reference = compute_reference(shape, data_type, 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, 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 dilate; - dilate.configure(&src, &dst, 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 - dilate.run(); - - return dst; - } - - SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type, BorderMode border_mode, uint8_t constant_border_value) - { - ARM_COMPUTE_ERROR_ON(data_type != DataType::U8); - - // Create reference - SimpleTensor<T> src{ shape, data_type }; - - // Fill reference - fill(src); - - // Compute reference - return reference::dilate<T>(src, border_mode, constant_border_value); - } - - BorderMode _border_mode{}; - TensorType _target{}; - SimpleTensor<T> _reference{}; -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_DILATE_FIXTURE */ diff --git a/tests/validation/fixtures/EqualizeHistogramFixture.h b/tests/validation/fixtures/EqualizeHistogramFixture.h deleted file mode 100644 index f7a0312747..0000000000 --- a/tests/validation/fixtures/EqualizeHistogramFixture.h +++ /dev/null @@ -1,106 +0,0 @@ -/* - * Copyright (c) 2017-2018 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_EQUALIZE_HISTOGRAM_FIXTURE -#define ARM_COMPUTE_TEST_EQUALIZE_HISTOGRAM_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/reference/EqualizeHistogram.h" - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -template <typename TensorType, typename AccessorType, typename FunctionType, typename T> -class EqualizeHistogramValidationFixture : public framework::Fixture -{ -public: - template <typename...> - void setup(TensorShape shape, DataType data_type) - { - _target = compute_target(shape, data_type); - _reference = compute_reference(shape, data_type); - } - -protected: - template <typename U> - void fill(U &&tensor) - { - library->fill_tensor_uniform(tensor, 0); - } - - TensorType compute_target(const TensorShape &shape, DataType data_type) - { - // Create tensors - TensorType src = create_tensor<TensorType>(shape, data_type); - TensorType dst = create_tensor<TensorType>(shape, data_type); - - // Create and configure function - FunctionType equalize_histogram; - - equalize_histogram.configure(&src, &dst); - - 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 - equalize_histogram.run(); - - return dst; - } - - SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type) - { - // Create reference - SimpleTensor<T> src{ shape, data_type }; - - // Fill reference - fill(src); - - return reference::equalize_histogram<T>(src); - } - - TensorType _target{}; - SimpleTensor<T> _reference{}; -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_EQUALIZE_HISTOGRAM_FIXTURE */ diff --git a/tests/validation/fixtures/ErodeFixture.h b/tests/validation/fixtures/ErodeFixture.h deleted file mode 100644 index b9f17a266a..0000000000 --- a/tests/validation/fixtures/ErodeFixture.h +++ /dev/null @@ -1,117 +0,0 @@ -/* - * 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_ERODE_FIXTURE -#define ARM_COMPUTE_TEST_ERODE_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/reference/Erode.h" - -#include <random> - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -template <typename TensorType, typename AccessorType, typename FunctionType, typename T> -class ErodeValidationFixture : public framework::Fixture -{ -public: - template <typename...> - void setup(TensorShape shape, DataType data_type, BorderMode border_mode) - { - std::mt19937 gen(library->seed()); - std::uniform_int_distribution<uint8_t> distribution(0, 255); - const uint8_t constant_border_value = distribution(gen); - - _border_mode = border_mode; - _target = compute_target(shape, data_type, border_mode, constant_border_value); - _reference = compute_reference(shape, data_type, 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, 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 erode; - erode.configure(&src, &dst, 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 - erode.run(); - - return dst; - } - - SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type, BorderMode border_mode, uint8_t constant_border_value) - { - ARM_COMPUTE_ERROR_ON(data_type != DataType::U8); - - // Create reference - SimpleTensor<T> src{ shape, data_type }; - - // Fill reference - fill(src); - - // Compute reference - return reference::erode<T>(src, border_mode, constant_border_value); - } - - BorderMode _border_mode{}; - TensorType _target{}; - SimpleTensor<T> _reference{}; -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_ERODE_FIXTURE */ diff --git a/tests/validation/fixtures/FastCornersFixture.h b/tests/validation/fixtures/FastCornersFixture.h deleted file mode 100644 index ae66c375ef..0000000000 --- a/tests/validation/fixtures/FastCornersFixture.h +++ /dev/null @@ -1,138 +0,0 @@ -/* - * Copyright (c) 2017-2018 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_FAST_CORNERS_FIXTURE -#define ARM_COMPUTE_TEST_FAST_CORNERS_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/reference/FastCorners.h" - -#include <random> - -namespace arm_compute -{ -class CLFastCorners; -class NEFastCorners; - -namespace test -{ -namespace validation -{ -template <typename TensorType, typename AccessorType, typename ArrayType, typename FunctionType, typename T> -class FastCornersValidationFixture : public framework::Fixture -{ -public: - template <typename...> - void setup(std::string image, Format format, bool suppress_nonmax, BorderMode border_mode) - { - std::mt19937 gen(library->seed()); - std::uniform_int_distribution<uint8_t> int_dist(0, 255); - std::uniform_real_distribution<float> real_dist(0, 255); - - const uint8_t constant_border_value = int_dist(gen); - const float threshold = real_dist(gen); - - _target = compute_target(image, format, threshold, suppress_nonmax, border_mode, constant_border_value); - _reference = compute_reference(image, format, threshold, suppress_nonmax, border_mode, constant_border_value); - } - -protected: - template <typename U> - void fill(U &&tensor, RawTensor raw) - { - library->fill(tensor, raw); - } - - template <typename F, typename std::enable_if<std::is_same<F, CLFastCorners>::value, int>::type = 0> - void configure_target(F &func, TensorType &src, ArrayType &corners, unsigned int *num_corners, float threshold, bool suppress_nonmax, BorderMode border_mode, uint8_t constant_border_value) - { - func.configure(&src, threshold, suppress_nonmax, &corners, num_corners, border_mode, constant_border_value); - } - - template <typename F, typename std::enable_if<std::is_same<F, NEFastCorners>::value, int>::type = 0> - void configure_target(F &func, TensorType &src, ArrayType &corners, unsigned int *num_corners, float threshold, bool suppress_nonmax, BorderMode border_mode, uint8_t constant_border_value) - { - ARM_COMPUTE_UNUSED(num_corners); - func.configure(&src, threshold, suppress_nonmax, &corners, border_mode, constant_border_value); - } - - ArrayType compute_target(const std::string &image, Format format, float threshold, bool suppress_nonmax, BorderMode border_mode, uint8_t constant_border_value) - { - // Load the image (cached by the library if loaded before) - const RawTensor &raw = library->get(image, format); - - // Create tensors - TensorType src = create_tensor<TensorType>(raw.shape(), format); - - // Create array of keypoints - ArrayType corners(raw.shape().total_size()); - unsigned int num_corners = raw.shape().total_size(); - - // Create and configure function - FunctionType fast_corners; - configure_target<FunctionType>(fast_corners, src, corners, &num_corners, threshold, suppress_nonmax, border_mode, constant_border_value); - - ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Allocate tensors - src.allocator()->allocate(); - - ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Fill tensors - fill(AccessorType(src), raw); - - // Compute function - fast_corners.run(); - - return corners; - } - - std::vector<KeyPoint> compute_reference(const std::string &image, Format format, float threshold, bool suppress_nonmax, BorderMode border_mode, uint8_t constant_border_value) - { - // Load the image (cached by the library if loaded before) - const RawTensor &raw = library->get(image, format); - - // Create reference - SimpleTensor<T> src{ raw.shape(), format }; - - // Fill reference - fill(src, raw); - - // Compute reference - return reference::fast_corners<T>(src, threshold, suppress_nonmax, border_mode, constant_border_value); - } - - ArrayType _target{}; - std::vector<KeyPoint> _reference{}; -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_FAST_CORNERS_FIXTURE */ diff --git a/tests/validation/fixtures/Gaussian3x3Fixture.h b/tests/validation/fixtures/Gaussian3x3Fixture.h deleted file mode 100644 index 4a154ea0d1..0000000000 --- a/tests/validation/fixtures/Gaussian3x3Fixture.h +++ /dev/null @@ -1,117 +0,0 @@ -/* - * 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_GAUSSIAN3X3_FIXTURE -#define ARM_COMPUTE_TEST_GAUSSIAN3X3_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/reference/Gaussian3x3.h" - -#include <random> - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -template <typename TensorType, typename AccessorType, typename FunctionType, typename T> -class Gaussian3x3ValidationFixture : public framework::Fixture -{ -public: - template <typename...> - void setup(TensorShape shape, DataType data_type, BorderMode border_mode) - { - std::mt19937 gen(library->seed()); - std::uniform_int_distribution<uint8_t> distribution(0, 255); - const uint8_t constant_border_value = distribution(gen); - - _border_mode = border_mode; - _target = compute_target(shape, data_type, border_mode, constant_border_value); - _reference = compute_reference(shape, data_type, 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, 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 gaussian3x3; - gaussian3x3.configure(&src, &dst, 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 - gaussian3x3.run(); - - return dst; - } - - SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type, BorderMode border_mode, uint8_t constant_border_value) - { - ARM_COMPUTE_ERROR_ON(data_type != DataType::U8); - - // Create reference - SimpleTensor<T> src{ shape, data_type }; - - // Fill reference - fill(src); - - // Compute reference - return reference::gaussian3x3<T>(src, border_mode, constant_border_value); - } - - BorderMode _border_mode{}; - TensorType _target{}; - SimpleTensor<T> _reference{}; -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_GAUSSIAN3X3_FIXTURE */ diff --git a/tests/validation/fixtures/Gaussian5x5Fixture.h b/tests/validation/fixtures/Gaussian5x5Fixture.h deleted file mode 100644 index 68f91e1656..0000000000 --- a/tests/validation/fixtures/Gaussian5x5Fixture.h +++ /dev/null @@ -1,117 +0,0 @@ -/* - * 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_GAUSSIAN5X5_FIXTURE -#define ARM_COMPUTE_TEST_GAUSSIAN5X5_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/reference/Gaussian5x5.h" - -#include <random> - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -template <typename TensorType, typename AccessorType, typename FunctionType, typename T> -class Gaussian5x5ValidationFixture : public framework::Fixture -{ -public: - template <typename...> - void setup(TensorShape shape, DataType data_type, BorderMode border_mode) - { - std::mt19937 gen(library->seed()); - std::uniform_int_distribution<uint8_t> distribution(0, 255); - const uint8_t constant_border_value = distribution(gen); - - _border_mode = border_mode; - _target = compute_target(shape, data_type, border_mode, constant_border_value); - _reference = compute_reference(shape, data_type, 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, 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 gaussian5x5; - gaussian5x5.configure(&src, &dst, 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 - gaussian5x5.run(); - - return dst; - } - - SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type, BorderMode border_mode, uint8_t constant_border_value) - { - ARM_COMPUTE_ERROR_ON(data_type != DataType::U8); - - // Create reference - SimpleTensor<T> src{ shape, data_type }; - - // Fill reference - fill(src); - - // Compute reference - return reference::gaussian5x5<T>(src, border_mode, constant_border_value); - } - - BorderMode _border_mode{}; - TensorType _target{}; - SimpleTensor<T> _reference{}; -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_GAUSSIAN5X5_FIXTURE */ diff --git a/tests/validation/fixtures/GaussianPyramidHalfFixture.h b/tests/validation/fixtures/GaussianPyramidHalfFixture.h deleted file mode 100644 index f91b1d520d..0000000000 --- a/tests/validation/fixtures/GaussianPyramidHalfFixture.h +++ /dev/null @@ -1,125 +0,0 @@ -/* - * 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_GAUSSIAN_PYRAMID_HALF_FIXTURE -#define ARM_COMPUTE_TEST_GAUSSIAN_PYRAMID_HALF_FIXTURE - -#include "arm_compute/core/IPyramid.h" -#include "arm_compute/core/PyramidInfo.h" -#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/reference/GaussianPyramidHalf.h" - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -template <typename TensorType, typename AccessorType, typename FunctionType, typename T, typename PyramidType> -class GaussianPyramidHalfValidationFixture : public framework::Fixture -{ -public: - template <typename...> - void setup(TensorShape shape, BorderMode border_mode, size_t num_levels) - { - std::mt19937 gen(library->seed()); - std::uniform_int_distribution<uint8_t> distribution(0, 255); - const uint8_t constant_border_value = distribution(gen); - - _border_mode = border_mode; - - // Compute target and reference - compute_target(shape, border_mode, constant_border_value, num_levels); - compute_reference(shape, border_mode, constant_border_value, num_levels); - } - -protected: - template <typename U> - void fill(U &&tensor) - { - library->fill_tensor_uniform(tensor, 0); - } - - void compute_target(const TensorShape &shape, BorderMode border_mode, uint8_t constant_border_value, size_t num_levels) - { - // Create tensors - TensorType src = create_tensor<TensorType>(shape, DataType::U8); - - PyramidInfo pyramid_info(num_levels, SCALE_PYRAMID_HALF, shape, Format::U8); - _target.init(pyramid_info); - - // Create and configure function - FunctionType gaussian_pyramid; - - gaussian_pyramid.configure(&src, &_target, border_mode, constant_border_value); - - ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); - for(size_t i = 0; i < pyramid_info.num_levels(); ++i) - { - ARM_COMPUTE_EXPECT(_target.get_pyramid_level(i)->info()->is_resizable(), framework::LogLevel::ERRORS); - } - - // Allocate input tensor - src.allocator()->allocate(); - - // Allocate pyramid - _target.allocate(); - - ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); - for(size_t i = 0; i < pyramid_info.num_levels(); ++i) - { - ARM_COMPUTE_EXPECT(!_target.get_pyramid_level(i)->info()->is_resizable(), framework::LogLevel::ERRORS); - } - - // Fill tensors - fill(AccessorType(src)); - - // Compute function - gaussian_pyramid.run(); - } - - void compute_reference(const TensorShape &shape, BorderMode border_mode, uint8_t constant_border_value, size_t num_levels) - { - // Create reference - SimpleTensor<T> src{ shape, DataType::U8 }; - - // Fill reference - fill(src); - - _reference = reference::gaussian_pyramid_half<T>(src, border_mode, constant_border_value, num_levels); - } - - PyramidType _target{}; - std::vector<SimpleTensor<T>> _reference{}; - BorderMode _border_mode{}; -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_GAUSSIAN_PYRAMID_HALF_FIXTURE */
\ No newline at end of file diff --git a/tests/validation/fixtures/HOGDescriptorFixture.h b/tests/validation/fixtures/HOGDescriptorFixture.h deleted file mode 100644 index 1021e12d72..0000000000 --- a/tests/validation/fixtures/HOGDescriptorFixture.h +++ /dev/null @@ -1,135 +0,0 @@ -/* - * Copyright (c) 2017-2018 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_HOG_DESCRIPTOR_FIXTURE -#define ARM_COMPUTE_TEST_HOG_DESCRIPTOR_FIXTURE - -#include "arm_compute/core/HOGInfo.h" -#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/reference/HOGDescriptor.h" - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -template <typename TensorType, typename HOGType, typename AccessorType, typename FunctionType, typename T, typename U> -class HOGDescriptorValidationFixture : public framework::Fixture -{ -public: - template <typename...> - void setup(std::string image, HOGInfo hog_info, Format format, BorderMode border_mode) - { - // Only defined borders supported - ARM_COMPUTE_ERROR_ON(border_mode == BorderMode::UNDEFINED); - - // Generate a random constant value - std::mt19937 gen(library->seed()); - std::uniform_int_distribution<T> int_dist(0, 255); - const T constant_border_value = int_dist(gen); - - _target = compute_target(image, format, border_mode, constant_border_value, hog_info); - _reference = compute_reference(image, format, border_mode, constant_border_value, hog_info); - } - -protected: - template <typename V> - void fill(V &&tensor, const std::string image, Format format) - { - library->fill(tensor, image, format); - } - - template <typename V, typename D> - void fill(V &&tensor, int i, D max) - { - library->fill_tensor_uniform(tensor, i, static_cast<D>(0), max); - } - - TensorType compute_target(const std::string image, Format &format, BorderMode &border_mode, T constant_border_value, const HOGInfo &hog_info) - { - // Get image shape for src tensor - TensorShape shape = library->get_image_shape(image); - - // Create tensor info for HOG descriptor - TensorInfo tensor_info_hog_descriptor(hog_info, shape.x(), shape.y()); - - // Create HOG - HOGType hog = create_HOG<HOGType>(hog_info); - - // Create tensors - TensorType src = create_tensor<TensorType>(shape, data_type_from_format(format)); - TensorType dst = create_tensor<TensorType>(tensor_info_hog_descriptor.tensor_shape(), DataType::F32, tensor_info_hog_descriptor.num_channels()); - - ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Create and configure function - FunctionType hog_descriptor; - hog_descriptor.configure(&src, &dst, &hog, 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); - - const T max = std::numeric_limits<T>::max(); - - // Fill tensors - fill(AccessorType(src), image, format); - fill(AccessorType(dst), 1, static_cast<U>(max)); - - // Compute function - hog_descriptor.run(); - - return dst; - } - - SimpleTensor<U> compute_reference(const std::string image, Format format, BorderMode border_mode, T constant_border_value, const HOGInfo &hog_info) - { - // Create reference - SimpleTensor<T> src{ library->get_image_shape(image), data_type_from_format(format) }; - - // Fill reference - fill(src, image, format); - - return reference::hog_descriptor<U>(src, border_mode, constant_border_value, hog_info); - } - - TensorType _target{}; - SimpleTensor<U> _reference{}; -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_HOG_DESCRIPTOR_FIXTURE */ diff --git a/tests/validation/fixtures/HOGDetectorFixture.h b/tests/validation/fixtures/HOGDetectorFixture.h deleted file mode 100644 index f12e65b75c..0000000000 --- a/tests/validation/fixtures/HOGDetectorFixture.h +++ /dev/null @@ -1,138 +0,0 @@ -/* - * Copyright (c) 2018 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_HOG_DETECTOR_FIXTURE -#define ARM_COMPUTE_TEST_HOG_DETECTOR_FIXTURE - -#include "arm_compute/core/HOGInfo.h" -#include "arm_compute/core/Types.h" -#include "tests/AssetsLibrary.h" -#include "tests/Globals.h" -#include "tests/IAccessor.h" -#include "tests/IHOGAccessor.h" -#include "tests/framework/Asserts.h" -#include "tests/framework/Fixture.h" -#include "tests/validation/fixtures/HOGDescriptorFixture.h" -#include "tests/validation/reference/HOGDetector.h" - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -template <typename TensorType, - typename HOGType, - typename DetectionWindowArrayType, - typename HOGDescriptorType, - typename AccessorType, - typename ArrayAccessorType, - typename HOGAccessorType, - typename HOGDetectorType, - typename T, - typename U> -class HOGDetectorValidationFixture : public HOGDescriptorValidationFixture<TensorType, HOGType, AccessorType, HOGDescriptorType, T, U> -{ -public: - template <typename...> - void setup(Size2D detection_window_stride, std::string image, HOGInfo hog_info, Format format, BorderMode border_mode) - { - using HDF = HOGDescriptorValidationFixture<TensorType, HOGType, AccessorType, HOGDescriptorType, T, U>; - HDF::setup(image, hog_info, format, border_mode); - - const unsigned int max_num_detection_windows = 100000; - - // Initialise descriptor (linear SVM coefficients). - // NOTE: Fixed values are used to keep the number of detection windows detected - // consistent in order to have meaningful validation tolerances. - // The values are "unbalanced" to reduce the number of detected objects - std::random_device::result_type seed = 0; - std::vector<U> descriptor = generate_random_real(hog_info.descriptor_size(), -0.505f, 0.495f, seed); - - // Compute target and reference values using feature vector from descriptor kernel - _target = compute_target(HDF::_target, descriptor, max_num_detection_windows, hog_info, detection_window_stride); - _reference = compute_reference(HDF::_reference, descriptor, max_num_detection_windows, hog_info, detection_window_stride); - } - -protected: - std::vector<DetectionWindow> compute_target(const TensorType &src, const std::vector<U> &descriptor, unsigned int max_num_detection_windows, - const HOGInfo &hog_info, const Size2D &detection_window_stride) - { - // Create HOG - HOGType hog = create_HOG<HOGType>(hog_info); - - // Create array of detection windows - DetectionWindowArrayType detection_windows(max_num_detection_windows); - - // Copy HOG descriptor values to HOG memory - { - HOGAccessorType hog_accessor(hog); - std::memcpy(hog_accessor.descriptor(), descriptor.data(), descriptor.size() * sizeof(U)); - } - - // Create and configure function - HOGDetectorType hog_detector; - hog_detector.configure(&src, &hog, &detection_windows, detection_window_stride); - - // Reset detection windows - detection_windows.clear(); - - // Compute function - hog_detector.run(); - - // Create array of detection windows - std::vector<DetectionWindow> windows; - - // Copy detection windows - ArrayAccessorType accessor(detection_windows); - - for(size_t i = 0; i < accessor.num_values(); i++) - { - DetectionWindow win; - win.x = accessor.at(i).x; - win.y = accessor.at(i).y; - win.width = accessor.at(i).width; - win.height = accessor.at(i).height; - win.idx_class = accessor.at(i).idx_class; - win.score = accessor.at(i).score; - - windows.push_back(win); - } - - return windows; - } - - std::vector<DetectionWindow> compute_reference(const SimpleTensor<U> &src, const std::vector<U> &descriptor, unsigned int max_num_detection_windows, - const HOGInfo &hog_info, const Size2D &detection_window_stride) - { - // Assumes defaults value of zero for threshold and class_idx. - return reference::hog_detector(src, descriptor, max_num_detection_windows, hog_info, detection_window_stride); - } - - std::vector<DetectionWindow> _target{}; - std::vector<DetectionWindow> _reference{}; -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_HOG_DETECTOR_FIXTURE */ diff --git a/tests/validation/fixtures/HOGMultiDetectionFixture.h b/tests/validation/fixtures/HOGMultiDetectionFixture.h deleted file mode 100644 index c37bdb6df6..0000000000 --- a/tests/validation/fixtures/HOGMultiDetectionFixture.h +++ /dev/null @@ -1,193 +0,0 @@ -/* - * Copyright (c) 2018 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_HOG_MULTI_DETECTION_FIXTURE -#define ARM_COMPUTE_TEST_HOG_MULTI_DETECTION_FIXTURE - -#include "arm_compute/core/HOGInfo.h" -#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/IHOGAccessor.h" -#include "tests/framework/Asserts.h" -#include "tests/framework/Fixture.h" -#include "tests/validation/reference/HOGMultiDetection.h" - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -template <typename TensorType, - typename HOGType, - typename MultiHOGType, - typename DetectionWindowArrayType, - typename DetectionWindowStrideType, - typename AccessorType, - typename Size2DArrayAccessorType, - typename DetectionWindowArrayAccessorType, - typename HOGAccessorType, - typename FunctionType, - typename T, - typename U> -class HOGMultiDetectionValidationFixture : public framework::Fixture -{ -public: - template <typename...> - void setup(std::string image, std::vector<HOGInfo> models, Format format, BorderMode border_mode, bool non_maxima_suppression) - { - // Only defined borders supported - ARM_COMPUTE_ERROR_ON(border_mode == BorderMode::UNDEFINED); - - // Generate a random constant value - std::mt19937 gen(library->seed()); - std::uniform_int_distribution<T> int_dist(0, 255); - const T constant_border_value = int_dist(gen); - - // Initialize descriptors vector - std::vector<std::vector<U>> descriptors(models.size()); - - // Use default values for threshold and min_distance - const float threshold = 0.f; - const float min_distance = 1.f; - - // Maximum number of detection windows per batch - const unsigned int max_num_detection_windows = 100000; - - _target = compute_target(image, format, border_mode, constant_border_value, models, descriptors, max_num_detection_windows, threshold, non_maxima_suppression, min_distance); - _reference = compute_reference(image, format, border_mode, constant_border_value, models, descriptors, max_num_detection_windows, threshold, non_maxima_suppression, min_distance); - } - -protected: - template <typename V> - void fill(V &&tensor, const std::string image, Format format) - { - library->fill(tensor, image, format); - } - - void initialize_batch(const std::vector<HOGInfo> &models, MultiHOGType &multi_hog, - std::vector<std::vector<U>> &descriptors, DetectionWindowStrideType &detection_window_strides) - { - for(unsigned i = 0; i < models.size(); ++i) - { - auto hog_model = reinterpret_cast<HOGType *>(multi_hog.model(i)); - hog_model->init(models[i]); - - // Initialise descriptor (linear SVM coefficients). - std::random_device::result_type seed = 0; - descriptors.at(i) = generate_random_real(models[i].descriptor_size(), -0.505f, 0.495f, seed); - - // Copy HOG descriptor values to HOG memory - { - HOGAccessorType hog_accessor(*hog_model); - std::memcpy(hog_accessor.descriptor(), descriptors.at(i).data(), descriptors.at(i).size() * sizeof(U)); - } - - // Initialize detection window stride - Size2DArrayAccessorType accessor(detection_window_strides); - accessor.at(i) = models[i].block_stride(); - } - } - - std::vector<DetectionWindow> compute_target(const std::string image, Format &format, BorderMode &border_mode, T constant_border_value, - const std::vector<HOGInfo> &models, std::vector<std::vector<U>> &descriptors, unsigned int max_num_detection_windows, - float threshold, bool non_max_suppression, float min_distance) - { - MultiHOGType multi_hog(models.size()); - DetectionWindowArrayType detection_windows(max_num_detection_windows); - DetectionWindowStrideType detection_window_strides(models.size()); - - // Resize detection window_strides for index access - detection_window_strides.resize(models.size()); - - // Initialiize MultiHOG and detection windows - initialize_batch(models, multi_hog, descriptors, detection_window_strides); - - // Get image shape for src tensor - TensorShape shape = library->get_image_shape(image); - - // Create tensors - TensorType src = create_tensor<TensorType>(shape, data_type_from_format(format)); - ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Create and configure function - FunctionType hog_multi_detection; - hog_multi_detection.configure(&src, &multi_hog, &detection_windows, &detection_window_strides, border_mode, constant_border_value, threshold, non_max_suppression, min_distance); - - // Reset detection windows - detection_windows.clear(); - - // Allocate tensors - src.allocator()->allocate(); - ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Fill tensors - fill(AccessorType(src), image, format); - - // Compute function - hog_multi_detection.run(); - - // Copy detection windows - std::vector<DetectionWindow> windows; - DetectionWindowArrayAccessorType accessor(detection_windows); - - for(size_t i = 0; i < accessor.num_values(); i++) - { - DetectionWindow win; - win.x = accessor.at(i).x; - win.y = accessor.at(i).y; - win.width = accessor.at(i).width; - win.height = accessor.at(i).height; - win.idx_class = accessor.at(i).idx_class; - win.score = accessor.at(i).score; - - windows.push_back(win); - } - - return windows; - } - - std::vector<DetectionWindow> compute_reference(const std::string image, Format format, BorderMode border_mode, T constant_border_value, - const std::vector<HOGInfo> &models, const std::vector<std::vector<U>> &descriptors, unsigned int max_num_detection_windows, - float threshold, bool non_max_suppression, float min_distance) - { - // Create reference - SimpleTensor<T> src{ library->get_image_shape(image), data_type_from_format(format) }; - - // Fill reference - fill(src, image, format); - - // NOTE: Detection window stride fixed to block stride - return reference::hog_multi_detection(src, border_mode, constant_border_value, models, descriptors, max_num_detection_windows, threshold, non_max_suppression, min_distance); - } - - std::vector<DetectionWindow> _target{}; - std::vector<DetectionWindow> _reference{}; -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_HOG_MULTI_DETECTION_FIXTURE */ diff --git a/tests/validation/fixtures/HarrisCornersFixture.h b/tests/validation/fixtures/HarrisCornersFixture.h deleted file mode 100644 index dbe77dde9c..0000000000 --- a/tests/validation/fixtures/HarrisCornersFixture.h +++ /dev/null @@ -1,115 +0,0 @@ -/* - * Copyright (c) 2017-2018 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_HARRIS_CORNERS_FIXTURE -#define ARM_COMPUTE_TEST_HARRIS_CORNERS_FIXTURE - -#include "arm_compute/core/TensorShape.h" -#include "arm_compute/core/Types.h" -#include "tests/AssetsLibrary.h" -#include "tests/Globals.h" -#include "tests/framework/Asserts.h" -#include "tests/framework/Fixture.h" -#include "tests/validation/Helpers.h" -#include "tests/validation/reference/HarrisCornerDetector.h" - -namespace arm_compute -{ -class CLHarrisCorners; -class NEHarrisCorners; - -namespace test -{ -namespace validation -{ -template <typename TensorType, typename AccessorType, typename ArrayType, typename FunctionType, typename T> -class HarrisCornersValidationFixture : public framework::Fixture -{ -public: - template <typename...> - void setup(std::string image, int gradient_size, int block_size, BorderMode border_mode, Format format) - { - HarrisCornersParameters params = harris_corners_parameters(); - - _target = compute_target(image, gradient_size, block_size, border_mode, format, params); - _reference = compute_reference(image, gradient_size, block_size, border_mode, format, params); - } - -protected: - template <typename U> - void fill(U &&tensor, RawTensor raw) - { - library->fill(tensor, raw); - } - - ArrayType compute_target(std::string image, int gradient_size, int block_size, BorderMode border_mode, Format format, const HarrisCornersParameters ¶ms) - { - // Load the image (cached by the library if loaded before) - const RawTensor &raw = library->get(image, format); - - // Create tensors - TensorType src = create_tensor<TensorType>(raw.shape(), format); - - // Create array of keypoints - ArrayType corners(raw.shape().total_size()); - - // Create harris corners configure function - FunctionType harris_corners; - harris_corners.configure(&src, params.threshold, params.min_dist, params.sensitivity, gradient_size, block_size, &corners, border_mode, params.constant_border_value); - - ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Allocate tensors - src.allocator()->allocate(); - - ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Fill tensors - fill(AccessorType(src), raw); - - // Compute function - harris_corners.run(); - - return corners; - } - - std::vector<KeyPoint> compute_reference(std::string image, int gradient_size, int block_size, BorderMode border_mode, Format format, const HarrisCornersParameters ¶ms) - { - // Load the image (cached by the library if loaded before) - const RawTensor &raw = library->get(image, format); - // Create reference - SimpleTensor<T> src{ raw.shape(), format }; - - // Fill reference - fill(src, raw); - - return reference::harris_corner_detector<T>(src, params.threshold, params.min_dist, params.sensitivity, gradient_size, block_size, border_mode, params.constant_border_value); - } - - ArrayType _target{}; - std::vector<KeyPoint> _reference{}; -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_HARRIS_CORNERS_FIXTURE */ diff --git a/tests/validation/fixtures/HistogramFixture.h b/tests/validation/fixtures/HistogramFixture.h deleted file mode 100644 index dceb23b904..0000000000 --- a/tests/validation/fixtures/HistogramFixture.h +++ /dev/null @@ -1,129 +0,0 @@ -/* - * 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_HISTOGRAM_FIXTURE -#define ARM_COMPUTE_TEST_HISTOGRAM_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/reference/Histogram.h" -#include "utils/Utils.h" - -#include <random> - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -template <typename TensorType, typename AccessorType, typename FunctionType, typename T, typename DistributionType> -class HistogramValidationFixture : public framework::Fixture -{ -public: - template <typename...> - void setup(TensorShape shape, DataType data_type) - { - std::mt19937 gen(library->seed()); - std::uniform_int_distribution<size_t> distribution_size_t(1, 30); - const size_t num_bins = distribution_size_t(gen); - std::uniform_int_distribution<int32_t> distribution_int32_t(0, 125); - const size_t offset = distribution_int32_t(gen); - std::uniform_int_distribution<uint32_t> distribution_uint32_t(1, 255 - offset); - const size_t range = distribution_uint32_t(gen); - - _target = compute_target(shape, data_type, num_bins, offset, range); - _reference = compute_reference(shape, data_type, num_bins, offset, range); - } - -protected: - template <typename U> - void fill(U &&tensor) - { - library->fill_tensor_uniform(tensor, 0); - } - - TensorType compute_target(const TensorShape &shape, DataType data_type, size_t num_bins, int32_t offset, uint32_t range) - { - // Create tensors - TensorType src = create_tensor<TensorType>(shape, data_type); - TensorType dst = create_tensor<TensorType>(TensorShape(num_bins), DataType::U32); - DistributionType distribution_dst(num_bins, offset, range); - - // Create and configure function - FunctionType histogram; - histogram.configure(&src, &distribution_dst); - 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 - histogram.run(); - - // Copy the distribution in a tensor - arm_compute::utils::map(distribution_dst, true); - AccessorType accessor_dst = AccessorType(dst); - uint32_t *dst_data = static_cast<uint32_t *>(accessor_dst.data()); - - ARM_COMPUTE_EXPECT(accessor_dst.size() <= dst.info()->total_size(), framework::LogLevel::ERRORS); - - std::copy_n(distribution_dst.buffer(), num_bins, dst_data); - arm_compute::utils::unmap(distribution_dst); - return dst; - } - - SimpleTensor<uint32_t> compute_reference(const TensorShape &shape, DataType data_type, size_t num_bins, int32_t offset, uint32_t range) - { - ARM_COMPUTE_ERROR_ON(data_type != DataType::U8); - - // Create reference - SimpleTensor<T> src{ shape, data_type }; - - // Fill reference - fill(src); - - // Compute reference - return reference::histogram<T>(src, num_bins, offset, range); - } - - TensorType _target{}; - SimpleTensor<uint32_t> _reference{}; -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_HISTOGRAM_FIXTURE */ diff --git a/tests/validation/fixtures/IntegralImageFixture.h b/tests/validation/fixtures/IntegralImageFixture.h deleted file mode 100644 index abc99730a9..0000000000 --- a/tests/validation/fixtures/IntegralImageFixture.h +++ /dev/null @@ -1,106 +0,0 @@ -/* - * 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_INTEGRAL_IMAGE_FIXTURE -#define ARM_COMPUTE_TEST_INTEGRAL_IMAGE_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/reference/IntegralImage.h" - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -template <typename TensorType, typename AccessorType, typename FunctionType, typename T> -class IntegralImageValidationFixture : public framework::Fixture -{ -public: - template <typename...> - void setup(TensorShape shape, DataType data_type) - { - _target = compute_target(shape); - _reference = compute_reference(shape, data_type); - } - -protected: - template <typename U> - void fill(U &&tensor) - { - library->fill_tensor_uniform(tensor, 0); - } - - TensorType compute_target(const TensorShape &shape) - { - // Create tensors - TensorType src = create_tensor<TensorType>(shape, DataType::U8); - TensorType dst = create_tensor<TensorType>(shape, DataType::U32); - - // Create and configure function - FunctionType integral_image; - integral_image.configure(&src, &dst); - - 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 - integral_image.run(); - - return dst; - } - - SimpleTensor<uint32_t> compute_reference(const TensorShape &shape, DataType data_type) - { - // Create reference - SimpleTensor<T> src{ shape, data_type }; - - // Fill reference - fill(src); - - return reference::integral_image<T>(src); - } - - TensorType _target{}; - SimpleTensor<uint32_t> _reference{}; -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_INTEGRAL_IMAGE_FIXTURE */ diff --git a/tests/validation/fixtures/LaplacianPyramidFixture.h b/tests/validation/fixtures/LaplacianPyramidFixture.h deleted file mode 100644 index 71319965b2..0000000000 --- a/tests/validation/fixtures/LaplacianPyramidFixture.h +++ /dev/null @@ -1,154 +0,0 @@ -/* - * Copyright (c) 2018 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_LAPLACIAN_PYRAMID_FIXTURE -#define ARM_COMPUTE_TEST_LAPLACIAN_PYRAMID_FIXTURE - -#include "arm_compute/core/IPyramid.h" -#include "arm_compute/core/PyramidInfo.h" -#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/reference/LaplacianPyramid.h" - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -template <typename TensorType, typename AccessorType, typename FunctionType, typename T, typename U, typename PyramidType> -class LaplacianPyramidValidationFixture : public framework::Fixture -{ -public: - template <typename...> - void setup(TensorShape input_shape, BorderMode border_mode, size_t num_levels, Format format_in, Format format_out) - { - std::mt19937 generator(library->seed()); - std::uniform_int_distribution<T> distribution_u8(0, 255); - const T constant_border_value = distribution_u8(generator); - - _pyramid_levels = num_levels; - _border_mode = border_mode; - - _target = compute_target(input_shape, border_mode, constant_border_value, format_in, format_out); - _reference = compute_reference(input_shape, border_mode, constant_border_value, format_in, format_out); - } - -protected: - template <typename V> - void fill(V &&tensor) - { - library->fill_tensor_uniform(tensor, 0); - } - - PyramidType compute_target(const TensorShape &input_shape, BorderMode border_mode, T constant_border_value, - Format format_in, Format format_out) - { - // Create pyramid - PyramidType pyramid{}; - - // Create Pyramid Info - PyramidInfo pyramid_info(_pyramid_levels, SCALE_PYRAMID_HALF, input_shape, format_out); - - // Use conservative padding strategy to fit all subsequent kernels - pyramid.init_auto_padding(pyramid_info); - - // Create tensors - TensorType src = create_tensor<TensorType>(input_shape, format_in); - - // The first two dimensions of the output tensor must match the first - // two dimensions of the tensor in the last level of the pyramid - TensorShape dst_shape(input_shape); - dst_shape.set(0, pyramid.get_pyramid_level(_pyramid_levels - 1)->info()->dimension(0)); - dst_shape.set(1, pyramid.get_pyramid_level(_pyramid_levels - 1)->info()->dimension(1)); - - // The lowest resolution tensor necessary to reconstruct the input - // tensor from the pyramid. - _dst_target = create_tensor<TensorType>(dst_shape, format_out); - - // Create and configure function - FunctionType laplacian_pyramid; - laplacian_pyramid.configure(&src, &pyramid, &_dst_target, border_mode, constant_border_value); - - ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(_dst_target.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Allocate tensors - src.allocator()->allocate(); - _dst_target.allocator()->allocate(); - - ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(!_dst_target.info()->is_resizable(), framework::LogLevel::ERRORS); - - pyramid.allocate(); - - for(size_t i = 0; i < pyramid_info.num_levels(); ++i) - { - ARM_COMPUTE_EXPECT(!pyramid.get_pyramid_level(i)->info()->is_resizable(), framework::LogLevel::ERRORS); - } - - // Fill tensors - fill(AccessorType(src)); - - // Compute function - laplacian_pyramid.run(); - - return pyramid; - } - - std::vector<SimpleTensor<U>> compute_reference(const TensorShape &shape, BorderMode border_mode, T constant_border_value, - Format format_in, Format format_out) - { - // Create reference - SimpleTensor<T> src{ shape, format_in }; - - // The first two dimensions of the output tensor must match the first - // two dimensions of the tensor in the last level of the pyramid - TensorShape dst_shape(shape); - dst_shape.set(0, static_cast<float>(shape[0] + 1) / static_cast<float>(std::pow(2, _pyramid_levels - 1))); - dst_shape.set(1, static_cast<float>(shape[1] + 1) / static_cast<float>(std::pow(2, _pyramid_levels - 1))); - - _dst_reference = SimpleTensor<U>(dst_shape, format_out); - - // Fill reference - fill(src); - - return reference::laplacian_pyramid<T, U>(src, _dst_reference, _pyramid_levels, border_mode, constant_border_value); - } - - size_t _pyramid_levels{}; - BorderMode _border_mode{}; - SimpleTensor<U> _dst_reference{}; - TensorType _dst_target{}; - PyramidType _target{}; - std::vector<SimpleTensor<U>> _reference{}; -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_LAPLACIAN_PYRAMID_FIXTURE */ diff --git a/tests/validation/fixtures/LaplacianReconstructFixture.h b/tests/validation/fixtures/LaplacianReconstructFixture.h deleted file mode 100644 index 35432ee2cb..0000000000 --- a/tests/validation/fixtures/LaplacianReconstructFixture.h +++ /dev/null @@ -1,104 +0,0 @@ -/* - * Copyright (c) 2018 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_LAPLACIAN_RECONSTRUCT_FIXTURE -#define ARM_COMPUTE_TEST_LAPLACIAN_RECONSTRUCT_FIXTURE - -#include "arm_compute/core/IPyramid.h" -#include "arm_compute/core/PyramidInfo.h" -#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/fixtures/LaplacianPyramidFixture.h" -#include "tests/validation/reference/LaplacianPyramid.h" -#include "tests/validation/reference/LaplacianReconstruct.h" - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -template <typename TensorType, typename AccessorType, typename FunctionType, typename LaplacianPyramidType, typename T, typename U, typename PyramidType> -class LaplacianReconstructValidationFixture : public LaplacianPyramidValidationFixture<TensorType, AccessorType, LaplacianPyramidType, U, T, PyramidType> -{ -public: - template <typename...> - void setup(TensorShape input_shape, BorderMode border_mode, size_t num_levels, Format format_in, Format format_out) - { - std::mt19937 generator(library->seed()); - std::uniform_int_distribution<U> distribution_u8(0, 255); - const U constant_border_value = distribution_u8(generator); - - using LPF = LaplacianPyramidValidationFixture<TensorType, AccessorType, LaplacianPyramidType, U, T, PyramidType>; - LPF::setup(input_shape, border_mode, num_levels, format_out, format_in); - - // Compute target and reference values using the pyramid and lowest - // resolution tensor output from Laplacian Pyramid kernel - _target = compute_target(input_shape, LPF::_target, LPF::_dst_target, border_mode, constant_border_value); - _reference = compute_reference(LPF::_reference, LPF::_dst_reference, border_mode, constant_border_value); - } - -protected: - template <typename V> - void fill(V &&tensor) - { - library->fill_tensor_uniform(tensor, 0); - } - - TensorType compute_target(const TensorShape &input_shape, PyramidType &pyramid, TensorType &low_res, BorderMode border_mode, U constant_border_value) - { - // Create tensors - TensorType dst = create_tensor<TensorType>(input_shape, DataType::U8); - - // Create and configure function - FunctionType laplacian_reconstruct; - laplacian_reconstruct.configure(&pyramid, &low_res, &dst, border_mode, constant_border_value); - - // Allocate tensors - dst.allocator()->allocate(); - ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Compute function - laplacian_reconstruct.run(); - - return dst; - } - - SimpleTensor<U> compute_reference(const std::vector<SimpleTensor<T>> &pyramid, - const SimpleTensor<T> &low_res, BorderMode border_mode, U constant_border_value) - { - return reference::laplacian_reconstruct<T, U>(pyramid, low_res, border_mode, constant_border_value); - } - - TensorType _target{}; - SimpleTensor<U> _reference{}; -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_LAPLACIAN_RECONSTRUCT_FIXTURE */ diff --git a/tests/validation/fixtures/MagnitudeFixture.h b/tests/validation/fixtures/MagnitudeFixture.h deleted file mode 100644 index 81f4970b41..0000000000 --- a/tests/validation/fixtures/MagnitudeFixture.h +++ /dev/null @@ -1,123 +0,0 @@ -/* - * Copyright (c) 2017-2018 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_MAGNITUDE_FIXTURE -#define ARM_COMPUTE_TEST_MAGNITUDE_FIXTURE - -#include "arm_compute/core/TensorShape.h" -#include "arm_compute/core/Types.h" -#include "tests/Globals.h" -#include "tests/IAccessor.h" -#include "tests/framework/Asserts.h" -#include "tests/framework/Fixture.h" -#include "tests/validation/reference/Magnitude.h" - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -template <typename TensorType, typename AccessorType, typename FunctionType, typename T> -class MagnitudeValidationFixture : public framework::Fixture -{ -public: - template <typename...> - void setup(TensorShape shape, Format format, MagnitudeType magnitude_type) - { - _target = compute_target(shape, format, magnitude_type); - _reference = compute_reference(shape, format, magnitude_type); - _magnitude_type = magnitude_type; - } - -protected: - template <typename U> - void fill(U &&tensor, std::random_device::result_type seed_offset) - { - library->fill_tensor_uniform(tensor, seed_offset); - } - - TensorType compute_target(const TensorShape &shape, Format format, MagnitudeType magnitude_type) - { - DataType data_type = data_type_from_format(format); - - // Create tensors - TensorType src1 = create_tensor<TensorType>(shape, data_type); - src1.info()->set_format(format); - - TensorType src2 = create_tensor<TensorType>(shape, data_type); - src2.info()->set_format(format); - - TensorType dst = create_tensor<TensorType>(shape, data_type); - dst.info()->set_format(format); - - // Create and configure function - FunctionType magnitude; - magnitude.configure(&src1, &src2, &dst, magnitude_type); - - ARM_COMPUTE_EXPECT(src1.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(src2.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Allocate tensors - src1.allocator()->allocate(); - src2.allocator()->allocate(); - dst.allocator()->allocate(); - - ARM_COMPUTE_EXPECT(!src1.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(!src2.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Fill tensors - fill(AccessorType(src1), 0); - fill(AccessorType(src2), 1); - - // Compute function - magnitude.run(); - - return dst; - } - - SimpleTensor<T> compute_reference(const TensorShape &shape, Format format, MagnitudeType magnitude_type) - { - DataType data_type = data_type_from_format(format); - - // Create reference - SimpleTensor<T> src1{ shape, data_type }; - SimpleTensor<T> src2{ shape, data_type }; - - // Fill reference - fill(src1, 0); - fill(src2, 1); - - return reference::magnitude<T>(src1, src2, magnitude_type); - } - - TensorType _target{}; - SimpleTensor<T> _reference{}; - MagnitudeType _magnitude_type{}; -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_MAGNITUDE_FIXTURE */ diff --git a/tests/validation/fixtures/MeanStdDevFixture.h b/tests/validation/fixtures/MeanStdDevFixture.h deleted file mode 100644 index f3facc50de..0000000000 --- a/tests/validation/fixtures/MeanStdDevFixture.h +++ /dev/null @@ -1,115 +0,0 @@ -/* - * Copyright (c) 2017-2021 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_MEAN_STD_DEV_FIXTURE -#define ARM_COMPUTE_TEST_MEAN_STD_DEV_FIXTURE - -#include "tests/Globals.h" -#include "tests/framework/Asserts.h" -#include "tests/framework/Fixture.h" -#include "tests/validation/reference/MeanStdDev.h" - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -template <typename TensorType, typename AccessorType, typename FunctionType, typename T> -class MeanStdDevValidationFixture : public framework::Fixture -{ -public: - template <typename...> - void setup(TensorShape shape, DataType data_type) - { - _target = compute_target(shape, data_type); - _reference = compute_reference(shape, data_type); - } - -protected: - template <typename U> - void fill(U &&tensor) - { - if(tensor.data_type() == DataType::F32) - { - std::uniform_real_distribution<float> distribution(-1.0f, 1.0f); - library->fill(tensor, distribution, 0); - } - else if(tensor.data_type() == DataType::F16) - { - arm_compute::utils::uniform_real_distribution_16bit<half> distribution{ -1.0f, 1.0f }; - library->fill(tensor, distribution, 0); - } - else - { - library->fill_tensor_uniform(tensor, 0); - } - } - - std::pair<float, float> compute_target(const TensorShape &shape, DataType data_type) - { - // Create tensors - TensorType src = create_tensor<TensorType>(shape, data_type); - - // Create output variables - float mean = 0.0f; - float std_dev = 0.0f; - - // Create and configure function - FunctionType mean_std_dev; - mean_std_dev.configure(&src, &mean, &std_dev); - - ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Allocate tensors - src.allocator()->allocate(); - ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Fill tensors - fill(AccessorType(src)); - - // Compute function - mean_std_dev.run(); - - return std::make_pair(mean, std_dev); - } - - std::pair<float, float> compute_reference(const TensorShape &shape, DataType data_type) - { - // Create reference - SimpleTensor<T> src{ shape, data_type }; - - // Fill reference - fill(src); - - // Compute reference - return reference::mean_and_standard_deviation<T>(src); - } - - std::pair<float, float> _target{}; - std::pair<float, float> _reference{}; -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_MEAN_STD_DEV_FIXTURE */ diff --git a/tests/validation/fixtures/Median3x3Fixture.h b/tests/validation/fixtures/Median3x3Fixture.h deleted file mode 100644 index 2b978005b2..0000000000 --- a/tests/validation/fixtures/Median3x3Fixture.h +++ /dev/null @@ -1,117 +0,0 @@ -/* - * 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_MEDIAN3X3_FIXTURE -#define ARM_COMPUTE_TEST_MEDIAN3X3_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/reference/Median3x3.h" - -#include <random> - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -template <typename TensorType, typename AccessorType, typename FunctionType, typename T> -class Median3x3ValidationFixture : public framework::Fixture -{ -public: - template <typename...> - void setup(TensorShape shape, DataType data_type, BorderMode border_mode) - { - std::mt19937 gen(library->seed()); - std::uniform_int_distribution<uint8_t> distribution(0, 255); - const uint8_t constant_border_value = distribution(gen); - - _border_mode = border_mode; - _target = compute_target(shape, data_type, border_mode, constant_border_value); - _reference = compute_reference(shape, data_type, 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, 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 median3x3; - median3x3.configure(&src, &dst, 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 - median3x3.run(); - - return dst; - } - - SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type, BorderMode border_mode, uint8_t constant_border_value) - { - ARM_COMPUTE_ERROR_ON(data_type != DataType::U8); - - // Create reference - SimpleTensor<T> src{ shape, data_type }; - - // Fill reference - fill(src); - - // Compute reference - return reference::median3x3<T>(src, border_mode, constant_border_value); - } - - BorderMode _border_mode{}; - TensorType _target{}; - SimpleTensor<T> _reference{}; -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_MEDIAN3X3_FIXTURE */ diff --git a/tests/validation/fixtures/MinMaxLocationFixture.h b/tests/validation/fixtures/MinMaxLocationFixture.h deleted file mode 100644 index 73466cce54..0000000000 --- a/tests/validation/fixtures/MinMaxLocationFixture.h +++ /dev/null @@ -1,122 +0,0 @@ -/* - * 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_MIN_MAX_LOCATION_FIXTURE -#define ARM_COMPUTE_TEST_MIN_MAX_LOCATION_FIXTURE - -#include "arm_compute/core/TensorShape.h" -#include "arm_compute/core/Types.h" -#include "tests/AssetsLibrary.h" -#include "tests/Globals.h" -#include "tests/Types.h" -#include "tests/framework/Asserts.h" -#include "tests/framework/Fixture.h" -#include "tests/validation/reference/MinMaxLocation.h" - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -template <typename TensorType, typename AccessorType, typename ArrayType, typename ArrayAccessorType, typename FunctionType, typename T> -class MinMaxLocationValidationFixture : public framework::Fixture -{ -public: - using target_type = typename std::conditional<std::is_integral<T>::value, int32_t, float>::type; - - template <typename...> - void setup(TensorShape shape, DataType data_type) - { - _target = compute_target(shape, data_type); - _reference = compute_reference(shape, data_type); - } - -protected: - template <typename U> - void fill(U &&tensor) - { - library->fill_tensor_uniform(tensor, 0); - } - - MinMaxLocationValues<target_type> compute_target(const TensorShape &shape, DataType data_type) - { - MinMaxLocationValues<target_type> target; - - ArrayType min_loc(shape.total_size()); - ArrayType max_loc(shape.total_size()); - - // Create tensors - TensorType src = create_tensor<TensorType>(shape, data_type); - - // Create and configure function - FunctionType min_max_loc; - min_max_loc.configure(&src, &target.min, &target.max, &min_loc, &max_loc); - - // Allocate tensors - src.allocator()->allocate(); - ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Fill tensors - fill(AccessorType(src)); - - // Compute function - min_max_loc.run(); - - // Create accessor objects for mapping operations - ArrayAccessorType min_loc_accessor(min_loc); - ArrayAccessorType max_loc_accessor(max_loc); - - // Move min Coordinates2D values from ArrayType to vector - for(size_t i = 0; i < min_loc.num_values(); ++i) - { - target.min_loc.push_back(std::move(min_loc_accessor.at(i))); - } - - // Move max Coordinates2D values from ArrayType to vector - for(size_t i = 0; i < max_loc.num_values(); ++i) - { - target.max_loc.push_back(std::move(max_loc_accessor.at(i))); - } - - return target; - } - - MinMaxLocationValues<T> compute_reference(const TensorShape &shape, DataType data_type) - { - // Create reference - SimpleTensor<T> src{ shape, data_type }; - - // Fill reference - fill(src); - - return reference::min_max_location<T>(src); - } - - MinMaxLocationValues<target_type> _target{}; - MinMaxLocationValues<T> _reference{}; -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_MIN_MAX_LOCATION_FIXTURE */ diff --git a/tests/validation/fixtures/NonLinearFilterFixture.h b/tests/validation/fixtures/NonLinearFilterFixture.h deleted file mode 100644 index 03d2bcd962..0000000000 --- a/tests/validation/fixtures/NonLinearFilterFixture.h +++ /dev/null @@ -1,119 +0,0 @@ -/* - * 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/Helpers.h" -#include "tests/validation/reference/NonLinearFilter.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 */ diff --git a/tests/validation/fixtures/OpticalFlowFixture.h b/tests/validation/fixtures/OpticalFlowFixture.h deleted file mode 100644 index 5c3285a601..0000000000 --- a/tests/validation/fixtures/OpticalFlowFixture.h +++ /dev/null @@ -1,186 +0,0 @@ -/* - * Copyright (c) 2018 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_OPTICAL_FLOW -#define ARM_COMPUTE_TEST_OPTICAL_FLOW - -#include "arm_compute/core/PyramidInfo.h" -#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/Types.h" -#include "tests/framework/Asserts.h" -#include "tests/framework/Fixture.h" -#include "tests/validation/reference/OpticalFlow.h" - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -template <typename TensorType, - typename AccessorType, - typename ArrayType, - typename ArrayAccessorType, - typename FunctionType, - typename PyramidType, - typename PyramidFunctionType, - typename T> - -class OpticalFlowValidationFixture : public framework::Fixture -{ -public: - template <typename...> - void setup(std::string old_image_name, std::string new_image_name, OpticalFlowParameters params, - size_t num_levels, size_t num_keypoints, Format format, BorderMode border_mode) - { - std::mt19937 gen(library->seed()); - std::uniform_int_distribution<uint8_t> int_dist(0, 255); - const uint8_t constant_border_value = int_dist(gen); - - // Create keypoints - std::vector<KeyPoint> old_keypoints = generate_random_keypoints(library->get_image_shape(old_image_name), num_keypoints, library->seed(), num_levels); - std::vector<KeyPoint> new_keypoints_estimates = old_keypoints; - - _target = compute_target(old_image_name, new_image_name, params, num_levels, old_keypoints, new_keypoints_estimates, format, border_mode, constant_border_value); - _reference = compute_reference(old_image_name, new_image_name, params, num_levels, old_keypoints, new_keypoints_estimates, format, border_mode, constant_border_value); - } - -protected: - template <typename V> - void fill(V &&tensor, const std::string image, Format format) - { - library->fill(tensor, image, format); - } - - ArrayType compute_target(std::string old_image_name, std::string new_image_name, OpticalFlowParameters params, size_t num_levels, - std::vector<KeyPoint> &old_keypoints, std::vector<KeyPoint> &new_keypoints_estimates, - Format format, BorderMode border_mode, uint8_t constant_border_value) - { - // Get image shapes - TensorShape old_shape = library->get_image_shape(old_image_name); - TensorShape new_shape = library->get_image_shape(new_image_name); - - // Create tensors - auto old_image = create_tensor<TensorType>(old_shape, format); - auto new_image = create_tensor<TensorType>(new_shape, format); - - // Load keypoints - ArrayType old_points(old_keypoints.size()); - ArrayType new_points_estimates(new_keypoints_estimates.size()); - ArrayType new_points(old_keypoints.size()); - - fill_array(ArrayAccessorType(old_points), old_keypoints); - fill_array(ArrayAccessorType(new_points_estimates), new_keypoints_estimates); - - // Create pyramid images - PyramidInfo pyramid_info(num_levels, SCALE_PYRAMID_HALF, old_image.info()->tensor_shape(), format); - PyramidType old_pyramid = create_pyramid<PyramidType>(pyramid_info); - PyramidType new_pyramid = create_pyramid<PyramidType>(pyramid_info); - - // Create and configure pyramid functions - PyramidFunctionType old_gp; - old_gp.configure(&old_image, &old_pyramid, border_mode, constant_border_value); - - PyramidFunctionType new_gp; - new_gp.configure(&new_image, &new_pyramid, border_mode, constant_border_value); - - for(size_t i = 0; i < pyramid_info.num_levels(); ++i) - { - ARM_COMPUTE_EXPECT(old_pyramid.get_pyramid_level(i)->info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(new_pyramid.get_pyramid_level(i)->info()->is_resizable(), framework::LogLevel::ERRORS); - } - - // Create and configure optical flow function - FunctionType optical_flow; - - optical_flow.configure(&old_pyramid, - &new_pyramid, - &old_points, - &new_points_estimates, - &new_points, - params.termination, - params.epsilon, - params.num_iterations, - params.window_dimension, - params.use_initial_estimate, - border_mode, - constant_border_value); - - ARM_COMPUTE_EXPECT(old_image.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(new_image.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Allocate input tensors - old_image.allocator()->allocate(); - new_image.allocator()->allocate(); - - // Allocate pyramids - old_pyramid.allocate(); - new_pyramid.allocate(); - - ARM_COMPUTE_EXPECT(!old_image.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(!new_image.info()->is_resizable(), framework::LogLevel::ERRORS); - - for(size_t i = 0; i < pyramid_info.num_levels(); ++i) - { - ARM_COMPUTE_EXPECT(!old_pyramid.get_pyramid_level(i)->info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(!new_pyramid.get_pyramid_level(i)->info()->is_resizable(), framework::LogLevel::ERRORS); - } - - // Fill tensors - fill(AccessorType(old_image), old_image_name, format); - fill(AccessorType(new_image), new_image_name, format); - - // Compute functions - old_gp.run(); - new_gp.run(); - optical_flow.run(); - - return new_points; - } - - std::vector<KeyPoint> compute_reference(std::string old_image_name, std::string new_image_name, - OpticalFlowParameters params, size_t num_levels, - std::vector<KeyPoint> &old_keypoints, std::vector<KeyPoint> &new_keypoints_estimates, - Format format, BorderMode border_mode, uint8_t constant_border_value) - { - SimpleTensor<T> old_image{ library->get_image_shape(old_image_name), data_type_from_format(format) }; - SimpleTensor<T> new_image{ library->get_image_shape(new_image_name), data_type_from_format(format) }; - - fill(old_image, old_image_name, format); - fill(new_image, new_image_name, format); - - return reference::optical_flow<T>(old_image, new_image, params, num_levels, old_keypoints, new_keypoints_estimates, - border_mode, constant_border_value); - } - - ArrayType _target{}; - std::vector<KeyPoint> _reference{}; -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_OPTICAL_FLOW */ diff --git a/tests/validation/fixtures/PhaseFixture.h b/tests/validation/fixtures/PhaseFixture.h deleted file mode 100644 index b80d1ae00e..0000000000 --- a/tests/validation/fixtures/PhaseFixture.h +++ /dev/null @@ -1,122 +0,0 @@ -/* - * 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_PHASE_FIXTURE -#define ARM_COMPUTE_TEST_PHASE_FIXTURE - -#include "arm_compute/core/TensorShape.h" -#include "arm_compute/core/Types.h" -#include "tests/Globals.h" -#include "tests/IAccessor.h" -#include "tests/framework/Asserts.h" -#include "tests/framework/Fixture.h" -#include "tests/validation/reference/Phase.h" - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -template <typename TensorType, typename AccessorType, typename FunctionType, typename T> -class PhaseValidationFixture : public framework::Fixture -{ -public: - template <typename...> - void setup(TensorShape shape, Format format, PhaseType phase_type) - { - _target = compute_target(shape, format, phase_type); - _reference = compute_reference(shape, format, phase_type); - } - -protected: - template <typename U> - void fill(U &&tensor, std::random_device::result_type seed_offset) - { - library->fill_tensor_uniform(tensor, seed_offset); - } - - TensorType compute_target(const TensorShape &shape, Format format, PhaseType phase_type) - { - DataType data_type = data_type_from_format(format); - - // Create tensors - TensorType src1 = create_tensor<TensorType>(shape, data_type); - src1.info()->set_format(format); - - TensorType src2 = create_tensor<TensorType>(shape, data_type); - src2.info()->set_format(format); - - TensorType dst = create_tensor<TensorType>(shape, DataType::U8); - dst.info()->set_format(Format::U8); - - // Create and configure function - FunctionType phase; - - phase.configure(&src1, &src2, &dst, phase_type); - - ARM_COMPUTE_EXPECT(src1.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(src2.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Allocate tensors - src1.allocator()->allocate(); - src2.allocator()->allocate(); - dst.allocator()->allocate(); - - ARM_COMPUTE_EXPECT(!src1.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(!src2.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Fill tensors - fill(AccessorType(src1), 0); - fill(AccessorType(src2), 1); - - // Compute function - phase.run(); - - return dst; - } - - SimpleTensor<uint8_t> compute_reference(const TensorShape &shape, Format format, PhaseType phase_type) - { - DataType data_type = data_type_from_format(format); - - // Create reference - SimpleTensor<T> src1{ shape, data_type }; - SimpleTensor<T> src2{ shape, data_type }; - - // Fill reference - fill(src1, 0); - fill(src2, 1); - - return reference::phase<T>(src1, src2, phase_type); - } - - TensorType _target{}; - SimpleTensor<uint8_t> _reference{}; -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_PHASE_FIXTURE */ diff --git a/tests/validation/fixtures/SobelFixture.h b/tests/validation/fixtures/SobelFixture.h deleted file mode 100644 index 61a6a80d70..0000000000 --- a/tests/validation/fixtures/SobelFixture.h +++ /dev/null @@ -1,192 +0,0 @@ -/* - * 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. - */ -#ifndef ARM_COMPUTE_TEST_SOBEL_FIXTURE -#define ARM_COMPUTE_TEST_SOBEL_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/reference/Sobel.h" - -#include <memory> - -namespace arm_compute -{ -class CLSobel3x3; -class CLSobel5x5; -class CLSobel7x7; -class NESobel3x3; -class NESobel5x5; -class NESobel7x7; - -namespace test -{ -namespace validation -{ -namespace -{ -template <typename Function> -struct info; - -template <> -struct info<NESobel3x3> -{ - static const Format dst_format = Format::S16; - static const int filter_size = 3; -}; - -template <> -struct info<CLSobel3x3> -{ - static const Format dst_format = Format::S16; - static const int filter_size = 3; -}; - -template <> -struct info<NESobel5x5> -{ - static const Format dst_format = Format::S16; - static const int filter_size = 5; -}; - -template <> -struct info<CLSobel5x5> -{ - static const Format dst_format = Format::S16; - static const int filter_size = 5; -}; - -template <> -struct info<NESobel7x7> -{ - static const Format dst_format = Format::S32; - static const int filter_size = 7; -}; - -template <> -struct info<CLSobel7x7> -{ - static const Format dst_format = Format::S32; - static const int filter_size = 7; -}; -} // namespace - -template <typename TensorType, typename AccessorType, typename FunctionType, typename T, typename U> -class SobelValidationFixture : public framework::Fixture -{ -public: - template <typename...> - void setup(TensorShape shape, BorderMode border_mode, Format format, GradientDimension gradient_dimension) - { - // Generate a random constant value - std::mt19937 gen(library->seed()); - std::uniform_int_distribution<uint8_t> int_dist(0, 255); - const uint8_t constant_border_value = int_dist(gen); - - _border_mode = border_mode; - _target = compute_target(shape, border_mode, format, constant_border_value, gradient_dimension); - _reference = compute_reference(shape, info<FunctionType>::filter_size, border_mode, format, constant_border_value, gradient_dimension); - } - -protected: - template <typename V> - void fill(V &&tensor) - { - library->fill_tensor_uniform(tensor, 0); - } - - std::pair<TensorType, TensorType> compute_target(const TensorShape &shape, BorderMode border_mode, Format format, uint8_t constant_border_value, GradientDimension gradient_dimension) - { - // Create tensors - TensorType src = create_tensor<TensorType>(shape, data_type_from_format(format)); - TensorType dst_x = create_tensor<TensorType>(shape, data_type_from_format(info<FunctionType>::dst_format)); - TensorType dst_y = create_tensor<TensorType>(shape, data_type_from_format(info<FunctionType>::dst_format)); - - src.info()->set_format(format); - dst_x.info()->set_format(info<FunctionType>::dst_format); - dst_y.info()->set_format(info<FunctionType>::dst_format); - - FunctionType sobel; - - switch(gradient_dimension) - { - case GradientDimension::GRAD_X: - sobel.configure(&src, &dst_x, nullptr, border_mode, constant_border_value); - break; - case GradientDimension::GRAD_Y: - sobel.configure(&src, nullptr, &dst_y, border_mode, constant_border_value); - break; - case GradientDimension::GRAD_XY: - sobel.configure(&src, &dst_x, &dst_y, border_mode, constant_border_value); - break; - default: - ARM_COMPUTE_ERROR("Gradient dimension not supported"); - } - - ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(dst_x.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(dst_y.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Allocate tensors - src.allocator()->allocate(); - dst_x.allocator()->allocate(); - dst_y.allocator()->allocate(); - - ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(!dst_x.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(!dst_y.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Fill tensors - fill(AccessorType(src)); - - // Compute function - sobel.run(); - - return std::make_pair(std::move(dst_x), std::move(dst_y)); - } - - std::pair<SimpleTensor<U>, SimpleTensor<U>> compute_reference(const TensorShape &shape, int filter_size, BorderMode border_mode, Format format, uint8_t constant_border_value, - GradientDimension gradient_dimension) - { - // Create reference - SimpleTensor<T> src{ shape, format }; - - // Fill reference - fill(src); - - return reference::sobel<U>(src, filter_size, border_mode, constant_border_value, gradient_dimension); - } - - BorderMode _border_mode{ BorderMode::UNDEFINED }; - std::pair<TensorType, TensorType> _target{}; - std::pair<SimpleTensor<U>, SimpleTensor<U>> _reference{}; -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_SOBEL_FIXTURE */ diff --git a/tests/validation/fixtures/TableLookupFixture.h b/tests/validation/fixtures/TableLookupFixture.h deleted file mode 100644 index a50c9fb2fe..0000000000 --- a/tests/validation/fixtures/TableLookupFixture.h +++ /dev/null @@ -1,122 +0,0 @@ -/* - * 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_TABLE_LOOKUP_FIXTURE -#define ARM_COMPUTE_TEST_TABLE_LOOKUP_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/RawLutAccessor.h" -#include "tests/framework/Asserts.h" -#include "tests/framework/Fixture.h" -#include "tests/validation/Helpers.h" -#include "tests/validation/reference/TableLookup.h" - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -template <typename TensorType, typename AccessorType, typename FunctionType, typename LutAccessorType, typename LutType, typename T> -class TableLookupValidationFixture : public framework::Fixture -{ -public: - template <typename...> - void setup(TensorShape shape, DataType data_type) - { - _target = compute_target(shape, data_type); - _reference = compute_reference(shape, data_type); - } - -protected: - template <typename U> - void fill(U &&tensor, int i) - { - library->fill_tensor_uniform(tensor, i); - } - - TensorType compute_target(const TensorShape &shape, DataType data_type) - { - // Create Lut - const int num_elem = (data_type == DataType::U8) ? std::numeric_limits<uint8_t>::max() + 1 : std::numeric_limits<int16_t>::max() - std::numeric_limits<int16_t>::lowest() + 1; - LutType lut(num_elem, data_type); - - //Fill the Lut - fill_lookuptable(LutAccessorType(lut)); - - // Create tensors - TensorType src = create_tensor<TensorType>(shape, data_type); - TensorType dst = create_tensor<TensorType>(shape, data_type); - - // Create and configure function - FunctionType table_lookup; - table_lookup.configure(&src, &lut, &dst); - - 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), 0); - fill(AccessorType(dst), 1); - - // Compute function - table_lookup.run(); - - return dst; - } - - SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type) - { - // Create rawLut - std::map<T, T> rawlut; - - // Fill the Lut - fill_lookuptable(RawLutAccessor<T>(rawlut)); - - // Create reference - SimpleTensor<T> src{ shape, data_type }; - - // Fill reference - fill(src, 0); - - return reference::table_lookup(src, rawlut); - } - - TensorType _target{}; - SimpleTensor<T> _reference{}; -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_TABLE_LOOKUP_FIXTURE */ diff --git a/tests/validation/fixtures/ThresholdFixture.h b/tests/validation/fixtures/ThresholdFixture.h deleted file mode 100644 index 038c296178..0000000000 --- a/tests/validation/fixtures/ThresholdFixture.h +++ /dev/null @@ -1,107 +0,0 @@ -/* - * 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. - */ -#ifndef ARM_COMPUTE_TEST_THRESHOLD_FIXTURE -#define ARM_COMPUTE_TEST_THRESHOLD_FIXTURE - -#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/reference/Threshold.h" - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -template <typename TensorType, typename AccessorType, typename FunctionType, typename T> -class ThresholdValidationFixture : public framework::Fixture -{ -public: - template <typename...> - void setup(TensorShape shape, uint8_t threshold, uint8_t false_value, uint8_t true_value, ThresholdType type, uint8_t upper, DataType data_type) - { - _target = compute_target(shape, data_type, threshold, false_value, true_value, type, upper); - _reference = compute_reference(shape, data_type, threshold, false_value, true_value, type, upper); - } - -protected: - template <typename U> - void fill(U &&tensor) - { - library->fill_tensor_uniform(tensor, 0); - } - - TensorType compute_target(const TensorShape &shape, DataType data_type, - uint8_t threshold, uint8_t false_value, uint8_t true_value, - ThresholdType type, uint8_t upper) - { - // Create tensors - TensorType src = create_tensor<TensorType>(shape, data_type); - TensorType dst = create_tensor<TensorType>(shape, data_type); - - // Create and configure function - FunctionType thrsh; - thrsh.configure(&src, &dst, ThresholdKernelInfo(threshold, false_value, true_value, type, upper)); - - 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 - thrsh.run(); - - return dst; - } - - SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type, - uint8_t threshold, uint8_t false_value, uint8_t true_value, - ThresholdType type, uint8_t upper) - { - // Create reference - SimpleTensor<T> src{ shape, data_type }; - - // Fill reference - fill(src); - - return reference::threshold<T>(src, threshold, false_value, true_value, type, upper); - } - - TensorType _target{}; - SimpleTensor<T> _reference{}; -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_THRESHOLD_FIXTURE */ diff --git a/tests/validation/fixtures/WarpAffineFixture.h b/tests/validation/fixtures/WarpAffineFixture.h deleted file mode 100644 index 014d6628b1..0000000000 --- a/tests/validation/fixtures/WarpAffineFixture.h +++ /dev/null @@ -1,121 +0,0 @@ -/* - * Copyright (c) 2017-2018 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_WARP_AFFINE_FIXTURE -#define ARM_COMPUTE_TEST_WARP_AFFINE_FIXTURE - -#include <memory> - -#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/reference/Utils.h" -#include "tests/validation/reference/WarpAffine.h" - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -template <typename TensorType, typename AccessorType, typename FunctionType, typename T> -class WarpAffineValidationFixture : public framework::Fixture -{ -public: - template <typename...> - void setup(TensorShape shape, DataType data_type, InterpolationPolicy policy, BorderMode border_mode) - { - // Generate a random constant value if border_mode is constant - std::mt19937 gen(library->seed()); - std::uniform_int_distribution<uint8_t> distribution_u8(0, 255); - uint8_t constant_border_value = distribution_u8(gen); - - // Create the matrix - std::array<float, 9> matrix{ {} }; - fill_warp_matrix<9>(matrix); - - _target = compute_target(shape, data_type, matrix, policy, border_mode, constant_border_value); - _reference = compute_reference(shape, data_type, matrix, policy, 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, const std::array<float, 9> &matrix, InterpolationPolicy policy, 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 warp_affine; - warp_affine.configure(&src, &dst, matrix, policy, 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 - warp_affine.run(); - - return dst; - } - - SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type, const std::array<float, 9> &matrix, InterpolationPolicy policy, BorderMode border_mode, uint8_t constant_border_value) - { - // Create reference - SimpleTensor<T> src{ shape, data_type }; - - // Create the valid mask Tensor - _valid_mask = SimpleTensor<T>(shape, data_type); - - // Fill reference - fill(src); - - return reference::warp_affine<T>(src, _valid_mask, matrix.data(), policy, border_mode, constant_border_value); - } - - TensorType _target{}; - SimpleTensor<T> _reference{}; - SimpleTensor<T> _valid_mask{}; -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_WARP_AFFINE_FIXTURE */ diff --git a/tests/validation/fixtures/WarpPerspectiveFixture.h b/tests/validation/fixtures/WarpPerspectiveFixture.h deleted file mode 100644 index 40ae3b956c..0000000000 --- a/tests/validation/fixtures/WarpPerspectiveFixture.h +++ /dev/null @@ -1,134 +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. - */ -#ifndef ARM_COMPUTE_TEST_WARP_PERSPECTIVE_FIXTURE -#define ARM_COMPUTE_TEST_WARP_PERSPECTIVE_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/reference/Utils.h" -#include "tests/validation/reference/WarpPerspective.h" - -#include <random> - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -template <typename TensorType, typename AccessorType, typename FunctionType, typename T> -class WarpPerspectiveValidationFixture : public framework::Fixture -{ -public: - template <typename...> - void setup(TensorShape input_shape, DataType data_type, InterpolationPolicy policy, BorderMode border_mode) - { - uint8_t constant_border_value = 0; - // Generate a random constant value if border_mode is constant - if(border_mode == BorderMode::CONSTANT) - { - std::mt19937 gen(library->seed()); - std::uniform_int_distribution<uint8_t> distribution_u8(0, 255); - constant_border_value = distribution_u8(gen); - } - - // Create the matrix - std::array<float, 9> matrix = { { 0 } }; - fill_warp_matrix<9>(matrix); - - _target = compute_target(input_shape, matrix, policy, border_mode, constant_border_value, data_type); - _reference = compute_reference(input_shape, matrix, policy, border_mode, constant_border_value, data_type); - } - -protected: - template <typename U> - void fill(U &&tensor) - { - library->fill_tensor_uniform(tensor, 0); - } - - TensorType compute_target(const TensorShape &shape, const std::array<float, 9> &matrix, InterpolationPolicy policy, BorderMode border_mode, - uint8_t constant_border_value, - DataType data_type) - { - // Create tensors - TensorType src = create_tensor<TensorType>(shape, data_type); - TensorType dst = create_tensor<TensorType>(shape, data_type); - - // Create and configure function - FunctionType warp_perspective; - warp_perspective.configure(&src, &dst, matrix, policy, 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 - warp_perspective.run(); - - return dst; - } - - SimpleTensor<T> compute_reference(const TensorShape &shape, const std::array<float, 9> &matrix, InterpolationPolicy policy, BorderMode border_mode, - uint8_t constant_border_value, - DataType data_type) - { - ARM_COMPUTE_ERROR_ON(data_type != DataType::U8); - - // Create reference - SimpleTensor<T> src{ shape, data_type }; - - // Create the valid mask Tensor - _valid_mask = SimpleTensor<T>(shape, data_type); - - // Fill reference - fill(src); - - // Compute reference - return reference::warp_perspective<T>(src, _valid_mask, matrix.data(), policy, border_mode, constant_border_value); - } - - TensorType _target{}; - SimpleTensor<T> _reference{}; - BorderMode _border_mode{}; - SimpleTensor<T> _valid_mask{}; -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_WARP_PERSPECTIVE_FIXTURE */ |