1 /* 2 * Copyright (c) 2017-2020 Arm Limited. 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_POOLING_LAYER_FIXTURE 25 #define ARM_COMPUTE_TEST_POOLING_LAYER_FIXTURE 26 27 #include "arm_compute/core/TensorShape.h" 28 #include "arm_compute/core/Types.h" 29 #include "arm_compute/core/utils/misc/ShapeCalculator.h" 30 #include "arm_compute/runtime/Tensor.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/PoolingLayer.h" 37 #include <random> 38 namespace arm_compute 39 { 40 namespace test 41 { 42 namespace validation 43 { 44 template <typename TensorType, typename AccessorType, typename FunctionType, typename T> 45 class PoolingLayerValidationGenericFixture : public framework::Fixture 46 { 47 public: 48 template <typename...> 49 void setup(TensorShape shape, PoolingLayerInfo pool_info, DataType data_type, DataLayout data_layout, bool indices = false) 50 { 51 std::mt19937 gen(library->seed()); 52 std::uniform_int_distribution<> offset_dis(0, 20); 53 const float scale = data_type == DataType::QASYMM8_SIGNED ? 1.f / 127.f : 1.f / 255.f; 54 const int scale_in = data_type == DataType::QASYMM8_SIGNED ? -offset_dis(gen) : offset_dis(gen); 55 const int scale_out = data_type == DataType::QASYMM8_SIGNED ? -offset_dis(gen) : offset_dis(gen); 56 const QuantizationInfo input_qinfo(scale, scale_in); 57 const QuantizationInfo output_qinfo(scale, scale_out); 58 59 _pool_info = pool_info; 60 _target = compute_target(shape, pool_info, data_type, data_layout, input_qinfo, output_qinfo, indices); 61 _reference = compute_reference(shape, pool_info, data_type, data_layout, input_qinfo, output_qinfo, indices); 62 } 63 64 protected: 65 template <typename U> fill(U && tensor)66 void fill(U &&tensor) 67 { 68 if(!is_data_type_quantized(tensor.data_type())) 69 { 70 std::uniform_real_distribution<> distribution(-1.f, 1.f); 71 library->fill(tensor, distribution, 0); 72 } 73 else // data type is quantized_asymmetric 74 { 75 library->fill_tensor_uniform(tensor, 0); 76 } 77 } 78 compute_target(TensorShape shape,PoolingLayerInfo info,DataType data_type,DataLayout data_layout,QuantizationInfo input_qinfo,QuantizationInfo output_qinfo,bool indices)79 TensorType compute_target(TensorShape shape, PoolingLayerInfo info, 80 DataType data_type, DataLayout data_layout, 81 QuantizationInfo input_qinfo, QuantizationInfo output_qinfo, 82 bool indices) 83 { 84 // Change shape in case of NHWC. 85 if(data_layout == DataLayout::NHWC) 86 { 87 permute(shape, PermutationVector(2U, 0U, 1U)); 88 } 89 // Create tensors 90 TensorType src = create_tensor<TensorType>(shape, data_type, 1, input_qinfo, data_layout); 91 const TensorShape dst_shape = misc::shape_calculator::compute_pool_shape(*(src.info()), info); 92 TensorType dst = create_tensor<TensorType>(dst_shape, data_type, 1, output_qinfo, data_layout); 93 _target_indices = create_tensor<TensorType>(dst_shape, DataType::U32, 1, output_qinfo, data_layout); 94 95 // Create and configure function 96 FunctionType pool_layer; 97 pool_layer.configure(&src, &dst, info, (indices) ? &_target_indices : nullptr); 98 99 ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); 100 ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); 101 ARM_COMPUTE_EXPECT(_target_indices.info()->is_resizable(), framework::LogLevel::ERRORS); 102 103 // Allocate tensors 104 src.allocator()->allocate(); 105 dst.allocator()->allocate(); 106 _target_indices.allocator()->allocate(); 107 108 ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); 109 ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); 110 ARM_COMPUTE_EXPECT(!_target_indices.info()->is_resizable(), framework::LogLevel::ERRORS); 111 112 // Fill tensors 113 fill(AccessorType(src)); 114 115 // Compute function 116 pool_layer.run(); 117 118 return dst; 119 } 120 compute_reference(TensorShape shape,PoolingLayerInfo info,DataType data_type,DataLayout data_layout,QuantizationInfo input_qinfo,QuantizationInfo output_qinfo,bool indices)121 SimpleTensor<T> compute_reference(TensorShape shape, PoolingLayerInfo info, DataType data_type, DataLayout data_layout, 122 QuantizationInfo input_qinfo, QuantizationInfo output_qinfo, bool indices) 123 { 124 // Create reference 125 SimpleTensor<T> src(shape, data_type, 1, input_qinfo); 126 // Fill reference 127 fill(src); 128 return reference::pooling_layer<T>(src, info, output_qinfo, indices ? &_ref_indices : nullptr, data_layout); 129 } 130 131 TensorType _target{}; 132 SimpleTensor<T> _reference{}; 133 PoolingLayerInfo _pool_info{}; 134 TensorType _target_indices{}; 135 SimpleTensor<uint32_t> _ref_indices{}; 136 }; 137 template <typename TensorType, typename AccessorType, typename FunctionType, typename T> 138 class PoolingLayerIndicesValidationFixture : public PoolingLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T> 139 { 140 public: 141 template <typename...> setup(TensorShape shape,PoolingType pool_type,Size2D pool_size,PadStrideInfo pad_stride_info,bool exclude_padding,DataType data_type,DataLayout data_layout)142 void setup(TensorShape shape, PoolingType pool_type, Size2D pool_size, PadStrideInfo pad_stride_info, bool exclude_padding, DataType data_type, DataLayout data_layout) 143 { 144 PoolingLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, PoolingLayerInfo(pool_type, pool_size, data_layout, pad_stride_info, exclude_padding), 145 data_type, data_layout, true); 146 } 147 }; 148 149 template <typename TensorType, typename AccessorType, typename FunctionType, typename T> 150 class PoolingLayerValidationFixture : public PoolingLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T> 151 { 152 public: 153 template <typename...> setup(TensorShape shape,PoolingType pool_type,Size2D pool_size,PadStrideInfo pad_stride_info,bool exclude_padding,DataType data_type,DataLayout data_layout)154 void setup(TensorShape shape, PoolingType pool_type, Size2D pool_size, PadStrideInfo pad_stride_info, bool exclude_padding, DataType data_type, DataLayout data_layout) 155 { 156 PoolingLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, PoolingLayerInfo(pool_type, pool_size, data_layout, pad_stride_info, exclude_padding), 157 data_type, data_layout); 158 } 159 }; 160 161 template <typename TensorType, typename AccessorType, typename FunctionType, typename T> 162 class PoolingLayerValidationMixedPrecisionFixture : public PoolingLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T> 163 { 164 public: 165 template <typename...> 166 void setup(TensorShape shape, PoolingType pool_type, Size2D pool_size, PadStrideInfo pad_stride_info, bool exclude_padding, DataType data_type, DataLayout data_layout, bool fp_mixed_precision = false) 167 { 168 PoolingLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, PoolingLayerInfo(pool_type, pool_size, data_layout, pad_stride_info, exclude_padding, fp_mixed_precision), 169 data_type, data_layout); 170 } 171 }; 172 173 template <typename TensorType, typename AccessorType, typename FunctionType, typename T> 174 class PoolingLayerValidationQuantizedFixture : public PoolingLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T> 175 { 176 public: 177 template <typename...> 178 void setup(TensorShape shape, PoolingType pool_type, Size2D pool_size, PadStrideInfo pad_stride_info, bool exclude_padding, DataType data_type, DataLayout data_layout = DataLayout::NCHW) 179 { 180 PoolingLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, PoolingLayerInfo(pool_type, pool_size, data_layout, pad_stride_info, exclude_padding), 181 data_type, data_layout); 182 } 183 }; 184 185 template <typename TensorType, typename AccessorType, typename FunctionType, typename T> 186 class SpecialPoolingLayerValidationFixture : public PoolingLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T> 187 { 188 public: 189 template <typename...> setup(TensorShape src_shape,PoolingLayerInfo pool_info,DataType data_type)190 void setup(TensorShape src_shape, PoolingLayerInfo pool_info, DataType data_type) 191 { 192 PoolingLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(src_shape, pool_info, data_type, DataLayout::NCHW); 193 } 194 }; 195 196 template <typename TensorType, typename AccessorType, typename FunctionType, typename T> 197 class GlobalPoolingLayerValidationFixture : public PoolingLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T> 198 { 199 public: 200 template <typename...> 201 void setup(TensorShape shape, PoolingType pool_type, DataType data_type, DataLayout data_layout = DataLayout::NCHW) 202 { 203 PoolingLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, PoolingLayerInfo(pool_type, data_layout), data_type, data_layout); 204 } 205 }; 206 207 } // namespace validation 208 } // namespace test 209 } // namespace arm_compute 210 #endif /* ARM_COMPUTE_TEST_POOLING_LAYER_FIXTURE */ 211