zhenglin | 0fb6cf5 | 2017-12-12 15:56:09 +0800 | [diff] [blame] | 1 | /* |
zhenglin | 2219dea | 2018-01-30 18:15:52 +0800 | [diff] [blame] | 2 | * Copyright (c) 2017-2018 ARM Limited. |
zhenglin | 0fb6cf5 | 2017-12-12 15:56:09 +0800 | [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_NORMALIZE_PLANAR_YUV_LAYER_FIXTURE |
| 25 | #define ARM_COMPUTE_TEST_NORMALIZE_PLANAR_YUV_LAYER_FIXTURE |
| 26 | |
| 27 | #include "arm_compute/core/TensorShape.h" |
| 28 | #include "arm_compute/core/Types.h" |
| 29 | #include "tests/AssetsLibrary.h" |
| 30 | #include "tests/Globals.h" |
| 31 | #include "tests/IAccessor.h" |
| 32 | #include "tests/framework/Asserts.h" |
| 33 | #include "tests/framework/Fixture.h" |
| 34 | #include "tests/validation/Helpers.h" |
| 35 | #include "tests/validation/reference/NormalizePlanarYUVLayer.h" |
| 36 | |
| 37 | namespace arm_compute |
| 38 | { |
| 39 | namespace test |
| 40 | { |
| 41 | namespace validation |
| 42 | { |
| 43 | template <typename TensorType, typename AccessorType, typename FunctionType, typename T> |
Michele Di Giorgio | d63dfa2 | 2018-09-12 10:18:54 +0100 | [diff] [blame] | 44 | class NormalizePlanarYUVLayerValidationGenericFixture : public framework::Fixture |
zhenglin | 0fb6cf5 | 2017-12-12 15:56:09 +0800 | [diff] [blame] | 45 | { |
| 46 | public: |
| 47 | template <typename...> |
Michele Di Giorgio | d63dfa2 | 2018-09-12 10:18:54 +0100 | [diff] [blame] | 48 | void setup(TensorShape shape0, TensorShape shape1, DataType dt, DataLayout data_layout, QuantizationInfo quantization_info) |
zhenglin | 0fb6cf5 | 2017-12-12 15:56:09 +0800 | [diff] [blame] | 49 | { |
| 50 | _data_type = dt; |
Michele Di Giorgio | d63dfa2 | 2018-09-12 10:18:54 +0100 | [diff] [blame] | 51 | _target = compute_target(shape0, shape1, dt, data_layout, quantization_info); |
| 52 | _reference = compute_reference(shape0, shape1, dt, quantization_info); |
zhenglin | 0fb6cf5 | 2017-12-12 15:56:09 +0800 | [diff] [blame] | 53 | } |
| 54 | |
| 55 | protected: |
| 56 | template <typename U> |
Michele Di Giorgio | b57be0d | 2018-08-31 16:26:25 +0100 | [diff] [blame] | 57 | void fill(U &&src_tensor, U &&mean_tensor, U &&std_tensor) |
zhenglin | 0fb6cf5 | 2017-12-12 15:56:09 +0800 | [diff] [blame] | 58 | { |
| 59 | if(is_data_type_float(_data_type)) |
| 60 | { |
| 61 | float min_bound = 0.f; |
| 62 | float max_bound = 0.f; |
| 63 | std::tie(min_bound, max_bound) = get_normalize_planar_yuv_layer_test_bounds<T>(); |
| 64 | std::uniform_real_distribution<> distribution(min_bound, max_bound); |
Michele Di Giorgio | b57be0d | 2018-08-31 16:26:25 +0100 | [diff] [blame] | 65 | std::uniform_real_distribution<> distribution_std(0.1, max_bound); |
zhenglin | 0fb6cf5 | 2017-12-12 15:56:09 +0800 | [diff] [blame] | 66 | library->fill(src_tensor, distribution, 0); |
| 67 | library->fill(mean_tensor, distribution, 1); |
Michele Di Giorgio | b57be0d | 2018-08-31 16:26:25 +0100 | [diff] [blame] | 68 | library->fill(std_tensor, distribution_std, 2); |
zhenglin | 0fb6cf5 | 2017-12-12 15:56:09 +0800 | [diff] [blame] | 69 | } |
Michele Di Giorgio | d63dfa2 | 2018-09-12 10:18:54 +0100 | [diff] [blame] | 70 | else if(is_data_type_quantized_asymmetric(src_tensor.data_type())) |
| 71 | { |
| 72 | library->fill_tensor_uniform(src_tensor, 0); |
| 73 | library->fill_tensor_uniform(mean_tensor, 1); |
| 74 | library->fill_tensor_uniform(std_tensor, 2); |
| 75 | } |
zhenglin | 0fb6cf5 | 2017-12-12 15:56:09 +0800 | [diff] [blame] | 76 | } |
| 77 | |
Michele Di Giorgio | d63dfa2 | 2018-09-12 10:18:54 +0100 | [diff] [blame] | 78 | TensorType compute_target(TensorShape shape0, const TensorShape &shape1, DataType dt, DataLayout data_layout, QuantizationInfo quantization_info) |
zhenglin | 0fb6cf5 | 2017-12-12 15:56:09 +0800 | [diff] [blame] | 79 | { |
Michele Di Giorgio | b57be0d | 2018-08-31 16:26:25 +0100 | [diff] [blame] | 80 | if(data_layout == DataLayout::NHWC) |
| 81 | { |
| 82 | permute(shape0, PermutationVector(2U, 0U, 1U)); |
| 83 | } |
| 84 | |
zhenglin | 0fb6cf5 | 2017-12-12 15:56:09 +0800 | [diff] [blame] | 85 | // Create tensors |
Michele Di Giorgio | d63dfa2 | 2018-09-12 10:18:54 +0100 | [diff] [blame] | 86 | TensorType src = create_tensor<TensorType>(shape0, dt, 1, quantization_info, data_layout); |
| 87 | TensorType mean = create_tensor<TensorType>(shape1, dt, 1, quantization_info); |
| 88 | TensorType std = create_tensor<TensorType>(shape1, dt, 1, quantization_info); |
| 89 | TensorType dst; |
zhenglin | 0fb6cf5 | 2017-12-12 15:56:09 +0800 | [diff] [blame] | 90 | |
| 91 | // Create and configure function |
| 92 | FunctionType norm; |
Michele Di Giorgio | b57be0d | 2018-08-31 16:26:25 +0100 | [diff] [blame] | 93 | norm.configure(&src, &dst, &mean, &std); |
zhenglin | 0fb6cf5 | 2017-12-12 15:56:09 +0800 | [diff] [blame] | 94 | |
| 95 | ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 96 | ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 97 | ARM_COMPUTE_EXPECT(mean.info()->is_resizable(), framework::LogLevel::ERRORS); |
Michele Di Giorgio | b57be0d | 2018-08-31 16:26:25 +0100 | [diff] [blame] | 98 | ARM_COMPUTE_EXPECT(std.info()->is_resizable(), framework::LogLevel::ERRORS); |
zhenglin | 0fb6cf5 | 2017-12-12 15:56:09 +0800 | [diff] [blame] | 99 | |
| 100 | // Allocate tensors |
| 101 | src.allocator()->allocate(); |
| 102 | dst.allocator()->allocate(); |
| 103 | mean.allocator()->allocate(); |
Michele Di Giorgio | b57be0d | 2018-08-31 16:26:25 +0100 | [diff] [blame] | 104 | std.allocator()->allocate(); |
zhenglin | 0fb6cf5 | 2017-12-12 15:56:09 +0800 | [diff] [blame] | 105 | |
| 106 | ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 107 | ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 108 | ARM_COMPUTE_EXPECT(!mean.info()->is_resizable(), framework::LogLevel::ERRORS); |
Michele Di Giorgio | b57be0d | 2018-08-31 16:26:25 +0100 | [diff] [blame] | 109 | ARM_COMPUTE_EXPECT(!std.info()->is_resizable(), framework::LogLevel::ERRORS); |
zhenglin | 0fb6cf5 | 2017-12-12 15:56:09 +0800 | [diff] [blame] | 110 | |
| 111 | // Fill tensors |
Michele Di Giorgio | b57be0d | 2018-08-31 16:26:25 +0100 | [diff] [blame] | 112 | fill(AccessorType(src), AccessorType(mean), AccessorType(std)); |
zhenglin | 0fb6cf5 | 2017-12-12 15:56:09 +0800 | [diff] [blame] | 113 | |
| 114 | // Compute function |
| 115 | norm.run(); |
| 116 | |
| 117 | return dst; |
| 118 | } |
| 119 | |
Michele Di Giorgio | d63dfa2 | 2018-09-12 10:18:54 +0100 | [diff] [blame] | 120 | SimpleTensor<T> compute_reference(const TensorShape &shape0, const TensorShape &shape1, DataType dt, QuantizationInfo quantization_info) |
zhenglin | 0fb6cf5 | 2017-12-12 15:56:09 +0800 | [diff] [blame] | 121 | { |
| 122 | // Create reference |
Michele Di Giorgio | d63dfa2 | 2018-09-12 10:18:54 +0100 | [diff] [blame] | 123 | SimpleTensor<T> ref_src{ shape0, dt, 1, quantization_info }; |
| 124 | SimpleTensor<T> ref_mean{ shape1, dt, 1, quantization_info }; |
| 125 | SimpleTensor<T> ref_std{ shape1, dt, 1, quantization_info }; |
zhenglin | 0fb6cf5 | 2017-12-12 15:56:09 +0800 | [diff] [blame] | 126 | |
| 127 | // Fill reference |
Michele Di Giorgio | b57be0d | 2018-08-31 16:26:25 +0100 | [diff] [blame] | 128 | fill(ref_src, ref_mean, ref_std); |
zhenglin | 0fb6cf5 | 2017-12-12 15:56:09 +0800 | [diff] [blame] | 129 | |
Michele Di Giorgio | b57be0d | 2018-08-31 16:26:25 +0100 | [diff] [blame] | 130 | return reference::normalize_planar_yuv_layer(ref_src, ref_mean, ref_std); |
zhenglin | 0fb6cf5 | 2017-12-12 15:56:09 +0800 | [diff] [blame] | 131 | } |
| 132 | |
| 133 | TensorType _target{}; |
| 134 | SimpleTensor<T> _reference{}; |
| 135 | DataType _data_type{}; |
| 136 | }; |
Michele Di Giorgio | d63dfa2 | 2018-09-12 10:18:54 +0100 | [diff] [blame] | 137 | |
| 138 | template <typename TensorType, typename AccessorType, typename FunctionType, typename T> |
| 139 | class NormalizePlanarYUVLayerValidationFixture : public NormalizePlanarYUVLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T> |
| 140 | { |
| 141 | public: |
| 142 | template <typename...> |
| 143 | void setup(TensorShape shape0, TensorShape shape1, DataType dt, DataLayout data_layout) |
| 144 | { |
| 145 | NormalizePlanarYUVLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape0, shape1, dt, data_layout, QuantizationInfo()); |
| 146 | } |
| 147 | }; |
| 148 | |
| 149 | template <typename TensorType, typename AccessorType, typename FunctionType, typename T> |
| 150 | class NormalizePlanarYUVLayerValidationQuantizedFixture : public NormalizePlanarYUVLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T> |
| 151 | { |
| 152 | public: |
| 153 | template <typename...> |
| 154 | void setup(TensorShape shape0, TensorShape shape1, DataType dt, DataLayout data_layout, QuantizationInfo quantization_info) |
| 155 | { |
| 156 | NormalizePlanarYUVLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape0, shape1, dt, data_layout, quantization_info); |
| 157 | } |
| 158 | }; |
zhenglin | 0fb6cf5 | 2017-12-12 15:56:09 +0800 | [diff] [blame] | 159 | } // namespace validation |
| 160 | } // namespace test |
| 161 | } // namespace arm_compute |
| 162 | #endif /* ARM_COMPUTE_TEST_NORMALIZE_PLANAR_YUV_LAYER_FIXTURE */ |