1 /* 2 * Copyright (c) 2022 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_3D_LAYER_FIXTURE 25 #define ARM_COMPUTE_TEST_POOLING_3D_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/Pooling3dLayer.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 Pooling3dLayerValidationGenericFixture : public framework::Fixture 46 { 47 public: 48 template <typename...> 49 void setup(TensorShape shape, Pooling3dLayerInfo pool_info, DataType data_type, QuantizationInfo input_qinfo = QuantizationInfo(), QuantizationInfo output_qinfo = QuantizationInfo()) 50 { 51 _target = compute_target(shape, pool_info, data_type, input_qinfo, output_qinfo); 52 _reference = compute_reference(shape, pool_info, data_type, input_qinfo, output_qinfo); 53 } 54 55 protected: 56 template <typename U> fill(U && tensor)57 void fill(U &&tensor) 58 { 59 if(tensor.data_type() == DataType::F32) 60 { 61 std::uniform_real_distribution<float> distribution(-1.0f, 1.0f); 62 library->fill(tensor, distribution, 0); 63 } 64 else if(tensor.data_type() == DataType::F16) 65 { 66 arm_compute::utils::uniform_real_distribution_16bit<half> distribution{ -1.0f, 1.0f }; 67 library->fill(tensor, distribution, 0); 68 } 69 else // data type is quantized_asymmetric 70 { 71 library->fill_tensor_uniform(tensor, 0); 72 } 73 } 74 compute_target(TensorShape shape,Pooling3dLayerInfo info,DataType data_type,QuantizationInfo input_qinfo,QuantizationInfo output_qinfo)75 TensorType compute_target(TensorShape shape, Pooling3dLayerInfo info, 76 DataType data_type, QuantizationInfo input_qinfo, QuantizationInfo output_qinfo) 77 { 78 // Create tensors 79 TensorType src = create_tensor<TensorType>(shape, data_type, 1, input_qinfo, DataLayout::NDHWC); 80 const TensorShape dst_shape = misc::shape_calculator::compute_pool3d_shape((src.info()->tensor_shape()), info); 81 TensorType dst = create_tensor<TensorType>(dst_shape, data_type, 1, output_qinfo, DataLayout::NDHWC); 82 83 // Create and configure function 84 FunctionType pool_layer; 85 pool_layer.validate(src.info(), dst.info(), info); 86 pool_layer.configure(&src, &dst, info); 87 88 ARM_COMPUTE_ASSERT(src.info()->is_resizable()); 89 ARM_COMPUTE_ASSERT(dst.info()->is_resizable()); 90 91 // Allocate tensors 92 src.allocator()->allocate(); 93 dst.allocator()->allocate(); 94 95 ARM_COMPUTE_ASSERT(!src.info()->is_resizable()); 96 ARM_COMPUTE_ASSERT(!dst.info()->is_resizable()); 97 98 // Fill tensors 99 fill(AccessorType(src)); 100 101 // Compute function 102 pool_layer.run(); 103 return dst; 104 } 105 compute_reference(TensorShape shape,Pooling3dLayerInfo info,DataType data_type,QuantizationInfo input_qinfo,QuantizationInfo output_qinfo)106 SimpleTensor<T> compute_reference(TensorShape shape, Pooling3dLayerInfo info, DataType data_type, QuantizationInfo input_qinfo, QuantizationInfo output_qinfo) 107 { 108 // Create reference 109 SimpleTensor<T> src(shape, data_type, 1, input_qinfo, DataLayout::NDHWC); 110 // Fill reference 111 fill(src); 112 return reference::pooling_3d_layer<T>(src, info, output_qinfo); 113 } 114 115 TensorType _target{}; 116 SimpleTensor<T> _reference{}; 117 }; 118 119 template <typename TensorType, typename AccessorType, typename FunctionType, typename T> 120 class Pooling3dLayerValidationFixture : public Pooling3dLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T> 121 { 122 public: 123 template <typename...> setup(TensorShape shape,PoolingType pool_type,Size3D pool_size,Size3D stride,Padding3D padding,bool exclude_padding,DataType data_type)124 void setup(TensorShape shape, PoolingType pool_type, Size3D pool_size, Size3D stride, Padding3D padding, bool exclude_padding, DataType data_type) 125 { 126 Pooling3dLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, Pooling3dLayerInfo(pool_type, pool_size, stride, padding, exclude_padding), 127 data_type); 128 } 129 }; 130 131 template <typename TensorType, typename AccessorType, typename FunctionType, typename T> 132 class Pooling3dLayerValidationQuantizedFixture : public Pooling3dLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T> 133 { 134 public: 135 template <typename...> 136 void setup(TensorShape shape, PoolingType pool_type, Size3D pool_size, Size3D stride, Padding3D padding, bool exclude_padding, DataType data_type, 137 QuantizationInfo input_qinfo = QuantizationInfo(), QuantizationInfo output_qinfo = QuantizationInfo()) 138 { 139 Pooling3dLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, Pooling3dLayerInfo(pool_type, pool_size, stride, padding, exclude_padding), 140 data_type, input_qinfo, output_qinfo); 141 } 142 }; 143 144 template <typename TensorType, typename AccessorType, typename FunctionType, typename T> 145 class Pooling3dLayerGlobalValidationFixture : public Pooling3dLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T> 146 { 147 public: 148 template <typename...> setup(TensorShape shape,PoolingType pool_type,DataType data_type)149 void setup(TensorShape shape, PoolingType pool_type, DataType data_type) 150 { 151 Pooling3dLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, Pooling3dLayerInfo(pool_type), data_type); 152 } 153 }; 154 155 template <typename TensorType, typename AccessorType, typename FunctionType, typename T> 156 class SpecialPooling3dLayerValidationFixture : public Pooling3dLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T> 157 { 158 public: 159 template <typename...> setup(TensorShape src_shape,Pooling3dLayerInfo pool_info,DataType data_type)160 void setup(TensorShape src_shape, Pooling3dLayerInfo pool_info, DataType data_type) 161 { 162 Pooling3dLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(src_shape, pool_info, data_type); 163 } 164 }; 165 166 } // namespace validation 167 } // namespace test 168 } // namespace arm_compute 169 #endif /* ARM_COMPUTE_TEST_POOLING_3D_LAYER_FIXTURE */ 170