Michele Di Giorgio | 32982d8 | 2017-07-07 14:44:43 +0100 | [diff] [blame] | 1 | /* |
Giorgio Arena | c3b2e07 | 2018-08-10 16:27:11 +0100 | [diff] [blame] | 2 | * Copyright (c) 2017-2018 ARM Limited. |
Michele Di Giorgio | 32982d8 | 2017-07-07 14:44:43 +0100 | [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_DEQUANTIZATION_LAYER_FIXTURE |
| 25 | #define ARM_COMPUTE_TEST_DEQUANTIZATION_LAYER_FIXTURE |
| 26 | |
| 27 | #include "arm_compute/core/TensorShape.h" |
| 28 | #include "arm_compute/core/Types.h" |
| 29 | #include "arm_compute/runtime/Tensor.h" |
Michele Di Giorgio | 32982d8 | 2017-07-07 14:44:43 +0100 | [diff] [blame] | 30 | #include "tests/AssetsLibrary.h" |
| 31 | #include "tests/Globals.h" |
| 32 | #include "tests/IAccessor.h" |
Moritz Pflanzer | a09de0c | 2017-09-01 20:41:12 +0100 | [diff] [blame] | 33 | #include "tests/framework/Asserts.h" |
| 34 | #include "tests/framework/Fixture.h" |
Georgios Pinitas | 5a7e776 | 2017-12-01 16:27:29 +0000 | [diff] [blame] | 35 | #include "tests/validation/reference/DequantizationLayer.h" |
Michele Di Giorgio | 32982d8 | 2017-07-07 14:44:43 +0100 | [diff] [blame] | 36 | |
| 37 | #include <random> |
| 38 | |
| 39 | namespace arm_compute |
| 40 | { |
| 41 | namespace test |
| 42 | { |
| 43 | namespace validation |
| 44 | { |
| 45 | template <typename TensorType, typename AccessorType, typename FunctionType, typename T> |
Giorgio Arena | c3b2e07 | 2018-08-10 16:27:11 +0100 | [diff] [blame] | 46 | class DequantizationValidationFixture : public framework::Fixture |
Michele Di Giorgio | 32982d8 | 2017-07-07 14:44:43 +0100 | [diff] [blame] | 47 | { |
| 48 | public: |
| 49 | template <typename...> |
| 50 | void setup(TensorShape shape, DataType data_type) |
| 51 | { |
Gian Marco Iodice | 06b184a | 2017-08-29 16:05:25 +0100 | [diff] [blame] | 52 | _target = compute_target(shape, data_type); |
| 53 | _reference = compute_reference(shape, data_type); |
Michele Di Giorgio | 32982d8 | 2017-07-07 14:44:43 +0100 | [diff] [blame] | 54 | } |
| 55 | |
| 56 | protected: |
| 57 | template <typename U> |
| 58 | void fill(U &&tensor) |
| 59 | { |
| 60 | library->fill_tensor_uniform(tensor, 0); |
| 61 | } |
| 62 | |
Gian Marco Iodice | 06b184a | 2017-08-29 16:05:25 +0100 | [diff] [blame] | 63 | template <typename U> |
| 64 | void fill_min_max(U &&tensor) |
Michele Di Giorgio | 32982d8 | 2017-07-07 14:44:43 +0100 | [diff] [blame] | 65 | { |
Gian Marco Iodice | 06b184a | 2017-08-29 16:05:25 +0100 | [diff] [blame] | 66 | std::mt19937 gen(library->seed()); |
| 67 | std::uniform_real_distribution<float> distribution(-1.0f, 1.0f); |
| 68 | |
| 69 | Window window; |
| 70 | |
| 71 | window.set(0, Window::Dimension(0, tensor.shape()[0], 2)); |
| 72 | |
| 73 | for(unsigned int d = 1; d < tensor.shape().num_dimensions(); ++d) |
| 74 | { |
| 75 | window.set(d, Window::Dimension(0, tensor.shape()[d], 1)); |
| 76 | } |
| 77 | |
| 78 | execute_window_loop(window, [&](const Coordinates & id) |
| 79 | { |
| 80 | const float n1 = distribution(gen); |
| 81 | const float n2 = distribution(gen); |
| 82 | |
| 83 | float min = 0.0f; |
| 84 | float max = 0.0f; |
| 85 | |
| 86 | if(n1 < n2) |
| 87 | { |
| 88 | min = n1; |
| 89 | max = n2; |
| 90 | } |
| 91 | else |
| 92 | { |
| 93 | min = n2; |
| 94 | max = n1; |
| 95 | } |
| 96 | |
| 97 | auto out_ptr = reinterpret_cast<float *>(tensor(id)); |
| 98 | out_ptr[0] = min; |
| 99 | out_ptr[1] = max; |
| 100 | }); |
| 101 | } |
| 102 | |
| 103 | TensorType compute_target(const TensorShape &shape, DataType data_type) |
| 104 | { |
| 105 | TensorShape shape_min_max = shape; |
| 106 | shape_min_max.set(Window::DimX, 2); |
| 107 | |
| 108 | // Remove Y and Z dimensions and keep the batches |
| 109 | shape_min_max.remove_dimension(1); |
| 110 | shape_min_max.remove_dimension(1); |
| 111 | |
Michele Di Giorgio | 32982d8 | 2017-07-07 14:44:43 +0100 | [diff] [blame] | 112 | // Create tensors |
Gian Marco Iodice | 06b184a | 2017-08-29 16:05:25 +0100 | [diff] [blame] | 113 | TensorType src = create_tensor<TensorType>(shape, data_type); |
| 114 | TensorType dst = create_tensor<TensorType>(shape, DataType::F32); |
| 115 | TensorType min_max = create_tensor<TensorType>(shape_min_max, DataType::F32); |
Michele Di Giorgio | 32982d8 | 2017-07-07 14:44:43 +0100 | [diff] [blame] | 116 | |
| 117 | // Create and configure function |
| 118 | FunctionType dequantization_layer; |
Gian Marco Iodice | 06b184a | 2017-08-29 16:05:25 +0100 | [diff] [blame] | 119 | dequantization_layer.configure(&src, &dst, &min_max); |
Michele Di Giorgio | 32982d8 | 2017-07-07 14:44:43 +0100 | [diff] [blame] | 120 | |
| 121 | ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 122 | ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
Gian Marco Iodice | 06b184a | 2017-08-29 16:05:25 +0100 | [diff] [blame] | 123 | ARM_COMPUTE_EXPECT(min_max.info()->is_resizable(), framework::LogLevel::ERRORS); |
Michele Di Giorgio | 32982d8 | 2017-07-07 14:44:43 +0100 | [diff] [blame] | 124 | |
| 125 | // Allocate tensors |
| 126 | src.allocator()->allocate(); |
| 127 | dst.allocator()->allocate(); |
Gian Marco Iodice | 06b184a | 2017-08-29 16:05:25 +0100 | [diff] [blame] | 128 | min_max.allocator()->allocate(); |
Michele Di Giorgio | 32982d8 | 2017-07-07 14:44:43 +0100 | [diff] [blame] | 129 | |
| 130 | ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 131 | ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
Gian Marco Iodice | 06b184a | 2017-08-29 16:05:25 +0100 | [diff] [blame] | 132 | ARM_COMPUTE_EXPECT(!min_max.info()->is_resizable(), framework::LogLevel::ERRORS); |
Michele Di Giorgio | 32982d8 | 2017-07-07 14:44:43 +0100 | [diff] [blame] | 133 | |
| 134 | // Fill tensors |
| 135 | fill(AccessorType(src)); |
Gian Marco Iodice | 06b184a | 2017-08-29 16:05:25 +0100 | [diff] [blame] | 136 | fill_min_max(AccessorType(min_max)); |
Michele Di Giorgio | 32982d8 | 2017-07-07 14:44:43 +0100 | [diff] [blame] | 137 | |
| 138 | // Compute function |
| 139 | dequantization_layer.run(); |
| 140 | |
| 141 | return dst; |
| 142 | } |
| 143 | |
Gian Marco Iodice | 06b184a | 2017-08-29 16:05:25 +0100 | [diff] [blame] | 144 | SimpleTensor<float> compute_reference(const TensorShape &shape, DataType data_type) |
Michele Di Giorgio | 32982d8 | 2017-07-07 14:44:43 +0100 | [diff] [blame] | 145 | { |
Gian Marco Iodice | 06b184a | 2017-08-29 16:05:25 +0100 | [diff] [blame] | 146 | TensorShape shape_min_max = shape; |
| 147 | shape_min_max.set(Window::DimX, 2); |
| 148 | |
| 149 | // Remove Y and Z dimensions and keep the batches |
| 150 | shape_min_max.remove_dimension(1); |
| 151 | shape_min_max.remove_dimension(1); |
| 152 | |
Michele Di Giorgio | 32982d8 | 2017-07-07 14:44:43 +0100 | [diff] [blame] | 153 | // Create reference |
Gian Marco Iodice | 06b184a | 2017-08-29 16:05:25 +0100 | [diff] [blame] | 154 | SimpleTensor<T> src{ shape, data_type }; |
| 155 | SimpleTensor<float> min_max{ shape_min_max, data_type }; |
Michele Di Giorgio | 32982d8 | 2017-07-07 14:44:43 +0100 | [diff] [blame] | 156 | |
| 157 | // Fill reference |
| 158 | fill(src); |
Gian Marco Iodice | 06b184a | 2017-08-29 16:05:25 +0100 | [diff] [blame] | 159 | fill_min_max(min_max); |
Michele Di Giorgio | 32982d8 | 2017-07-07 14:44:43 +0100 | [diff] [blame] | 160 | |
Gian Marco Iodice | 06b184a | 2017-08-29 16:05:25 +0100 | [diff] [blame] | 161 | return reference::dequantization_layer<T>(src, min_max); |
Michele Di Giorgio | 32982d8 | 2017-07-07 14:44:43 +0100 | [diff] [blame] | 162 | } |
| 163 | |
| 164 | TensorType _target{}; |
| 165 | SimpleTensor<float> _reference{}; |
Michele Di Giorgio | 32982d8 | 2017-07-07 14:44:43 +0100 | [diff] [blame] | 166 | }; |
Michele Di Giorgio | 32982d8 | 2017-07-07 14:44:43 +0100 | [diff] [blame] | 167 | } // namespace validation |
| 168 | } // namespace test |
| 169 | } // namespace arm_compute |
| 170 | #endif /* ARM_COMPUTE_TEST_DEQUANTIZATION_LAYER_FIXTURE */ |