John Richardson | 2d008a4 | 2018-03-22 13:48:41 +0000 | [diff] [blame] | 1 | /* |
Michele Di Giorgio | d9eaf61 | 2020-07-08 11:12:57 +0100 | [diff] [blame] | 2 | * Copyright (c) 2018 Arm Limited. |
John Richardson | 2d008a4 | 2018-03-22 13:48:41 +0000 | [diff] [blame] | 3 | * |
| 4 | * SPDX-License-Identifier: MIT |
| 5 | * |
| 6 | * Permission is hereby granted, free of charge, to any person obtaining a copy |
| 7 | * of this software and associated documentation files (the "Software"), to |
| 8 | * deal in the Software without restriction, including without limitation the |
| 9 | * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| 10 | * sell copies of the Software, and to permit persons to whom the Software is |
| 11 | * furnished to do so, subject to the following conditions: |
| 12 | * |
| 13 | * The above copyright notice and this permission notice shall be included in all |
| 14 | * copies or substantial portions of the Software. |
| 15 | * |
| 16 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| 17 | * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| 18 | * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| 19 | * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| 20 | * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| 21 | * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 22 | * SOFTWARE. |
| 23 | */ |
| 24 | #ifndef ARM_COMPUTE_TEST_LAPLACIAN_PYRAMID_FIXTURE |
| 25 | #define ARM_COMPUTE_TEST_LAPLACIAN_PYRAMID_FIXTURE |
| 26 | |
| 27 | #include "arm_compute/core/IPyramid.h" |
| 28 | #include "arm_compute/core/PyramidInfo.h" |
| 29 | #include "arm_compute/core/TensorShape.h" |
| 30 | #include "arm_compute/core/Types.h" |
| 31 | #include "tests/AssetsLibrary.h" |
| 32 | #include "tests/Globals.h" |
| 33 | #include "tests/IAccessor.h" |
| 34 | #include "tests/framework/Asserts.h" |
| 35 | #include "tests/framework/Fixture.h" |
| 36 | #include "tests/validation/reference/LaplacianPyramid.h" |
| 37 | |
| 38 | namespace arm_compute |
| 39 | { |
| 40 | namespace test |
| 41 | { |
| 42 | namespace validation |
| 43 | { |
| 44 | template <typename TensorType, typename AccessorType, typename FunctionType, typename T, typename U, typename PyramidType> |
| 45 | class LaplacianPyramidValidationFixture : public framework::Fixture |
| 46 | { |
| 47 | public: |
| 48 | template <typename...> |
| 49 | void setup(TensorShape input_shape, BorderMode border_mode, size_t num_levels, Format format_in, Format format_out) |
| 50 | { |
| 51 | std::mt19937 generator(library->seed()); |
| 52 | std::uniform_int_distribution<T> distribution_u8(0, 255); |
| 53 | const T constant_border_value = distribution_u8(generator); |
| 54 | |
| 55 | _pyramid_levels = num_levels; |
| 56 | _border_mode = border_mode; |
| 57 | |
| 58 | _target = compute_target(input_shape, border_mode, constant_border_value, format_in, format_out); |
| 59 | _reference = compute_reference(input_shape, border_mode, constant_border_value, format_in, format_out); |
| 60 | } |
| 61 | |
| 62 | protected: |
| 63 | template <typename V> |
| 64 | void fill(V &&tensor) |
| 65 | { |
| 66 | library->fill_tensor_uniform(tensor, 0); |
| 67 | } |
| 68 | |
| 69 | PyramidType compute_target(const TensorShape &input_shape, BorderMode border_mode, T constant_border_value, |
| 70 | Format format_in, Format format_out) |
| 71 | { |
| 72 | // Create pyramid |
| 73 | PyramidType pyramid{}; |
| 74 | |
| 75 | // Create Pyramid Info |
| 76 | PyramidInfo pyramid_info(_pyramid_levels, SCALE_PYRAMID_HALF, input_shape, format_out); |
| 77 | |
| 78 | // Use conservative padding strategy to fit all subsequent kernels |
| 79 | pyramid.init_auto_padding(pyramid_info); |
| 80 | |
| 81 | // Create tensors |
| 82 | TensorType src = create_tensor<TensorType>(input_shape, format_in); |
| 83 | |
| 84 | // The first two dimensions of the output tensor must match the first |
| 85 | // two dimensions of the tensor in the last level of the pyramid |
| 86 | TensorShape dst_shape(input_shape); |
| 87 | dst_shape.set(0, pyramid.get_pyramid_level(_pyramid_levels - 1)->info()->dimension(0)); |
| 88 | dst_shape.set(1, pyramid.get_pyramid_level(_pyramid_levels - 1)->info()->dimension(1)); |
| 89 | |
| 90 | // The lowest resolution tensor necessary to reconstruct the input |
| 91 | // tensor from the pyramid. |
| 92 | _dst_target = create_tensor<TensorType>(dst_shape, format_out); |
| 93 | |
| 94 | // Create and configure function |
| 95 | FunctionType laplacian_pyramid; |
| 96 | laplacian_pyramid.configure(&src, &pyramid, &_dst_target, border_mode, constant_border_value); |
| 97 | |
| 98 | ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 99 | ARM_COMPUTE_EXPECT(_dst_target.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 100 | |
| 101 | // Allocate tensors |
| 102 | src.allocator()->allocate(); |
| 103 | _dst_target.allocator()->allocate(); |
| 104 | |
| 105 | ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 106 | ARM_COMPUTE_EXPECT(!_dst_target.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 107 | |
| 108 | pyramid.allocate(); |
| 109 | |
| 110 | for(size_t i = 0; i < pyramid_info.num_levels(); ++i) |
| 111 | { |
| 112 | ARM_COMPUTE_EXPECT(!pyramid.get_pyramid_level(i)->info()->is_resizable(), framework::LogLevel::ERRORS); |
| 113 | } |
| 114 | |
| 115 | // Fill tensors |
| 116 | fill(AccessorType(src)); |
| 117 | |
| 118 | // Compute function |
| 119 | laplacian_pyramid.run(); |
| 120 | |
| 121 | return pyramid; |
| 122 | } |
| 123 | |
| 124 | std::vector<SimpleTensor<U>> compute_reference(const TensorShape &shape, BorderMode border_mode, T constant_border_value, |
| 125 | Format format_in, Format format_out) |
| 126 | { |
| 127 | // Create reference |
| 128 | SimpleTensor<T> src{ shape, format_in }; |
| 129 | |
| 130 | // The first two dimensions of the output tensor must match the first |
| 131 | // two dimensions of the tensor in the last level of the pyramid |
| 132 | TensorShape dst_shape(shape); |
| 133 | dst_shape.set(0, static_cast<float>(shape[0] + 1) / static_cast<float>(std::pow(2, _pyramid_levels - 1))); |
| 134 | dst_shape.set(1, static_cast<float>(shape[1] + 1) / static_cast<float>(std::pow(2, _pyramid_levels - 1))); |
| 135 | |
| 136 | _dst_reference = SimpleTensor<U>(dst_shape, format_out); |
| 137 | |
| 138 | // Fill reference |
| 139 | fill(src); |
| 140 | |
| 141 | return reference::laplacian_pyramid<T, U>(src, _dst_reference, _pyramid_levels, border_mode, constant_border_value); |
| 142 | } |
| 143 | |
| 144 | size_t _pyramid_levels{}; |
| 145 | BorderMode _border_mode{}; |
| 146 | SimpleTensor<U> _dst_reference{}; |
| 147 | TensorType _dst_target{}; |
| 148 | PyramidType _target{}; |
| 149 | std::vector<SimpleTensor<U>> _reference{}; |
| 150 | }; |
| 151 | } // namespace validation |
| 152 | } // namespace test |
| 153 | } // namespace arm_compute |
| 154 | #endif /* ARM_COMPUTE_TEST_LAPLACIAN_PYRAMID_FIXTURE */ |