1 /* 2 * Copyright (c) 2017-2021 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_NORMALIZATION_LAYER_FIXTURE 25 #define ARM_COMPUTE_TEST_NORMALIZATION_LAYER_FIXTURE 26 27 #include "arm_compute/core/TensorShape.h" 28 #include "arm_compute/core/Types.h" 29 #include "arm_compute/runtime/Tensor.h" 30 #include "tests/AssetsLibrary.h" 31 #include "tests/Globals.h" 32 #include "tests/IAccessor.h" 33 #include "tests/framework/Asserts.h" 34 #include "tests/framework/Fixture.h" 35 #include "tests/validation/reference/NormalizationLayer.h" 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> 46 class NormalizationValidationGenericFixture : public framework::Fixture 47 { 48 public: 49 template <typename...> setup(TensorShape shape,NormType norm_type,int norm_size,float beta,bool is_scaled,DataType data_type,DataLayout data_layout)50 void setup(TensorShape shape, NormType norm_type, int norm_size, float beta, bool is_scaled, DataType data_type, DataLayout data_layout) 51 { 52 NormalizationLayerInfo info(norm_type, norm_size, 5, beta, 1.f, is_scaled); 53 54 _target = compute_target(shape, info, data_type, data_layout); 55 _reference = compute_reference(shape, info, data_type); 56 } 57 58 protected: 59 template <typename U> fill(U && tensor)60 void fill(U &&tensor) 61 { 62 static_assert(std::is_floating_point<T>::value || std::is_same<T, half>::value, "Only floating point data types supported."); 63 using DistributionType = typename std::conditional<std::is_same<T, half>::value, arm_compute::utils::uniform_real_distribution_16bit<T>, std::uniform_real_distribution<T>>::type; 64 65 DistributionType distribution{ T(-1.0f), T(1.0f) }; 66 library->fill(tensor, distribution, 0); 67 } 68 compute_target(TensorShape shape,NormalizationLayerInfo info,DataType data_type,DataLayout data_layout)69 TensorType compute_target(TensorShape shape, NormalizationLayerInfo info, DataType data_type, DataLayout data_layout) 70 { 71 if(data_layout == DataLayout::NHWC) 72 { 73 permute(shape, PermutationVector(2U, 0U, 1U)); 74 } 75 76 // Create tensors 77 TensorType src = create_tensor<TensorType>(shape, data_type, 1, QuantizationInfo(), data_layout); 78 TensorType dst = create_tensor<TensorType>(shape, data_type, 1, QuantizationInfo(), data_layout); 79 80 // Create and configure function 81 FunctionType norm_layer; 82 norm_layer.configure(&src, &dst, info); 83 84 ARM_COMPUTE_ASSERT(src.info()->is_resizable()); 85 ARM_COMPUTE_ASSERT(dst.info()->is_resizable()); 86 87 // Allocate tensors 88 src.allocator()->allocate(); 89 dst.allocator()->allocate(); 90 91 ARM_COMPUTE_ASSERT(!src.info()->is_resizable()); 92 ARM_COMPUTE_ASSERT(!dst.info()->is_resizable()); 93 94 // Fill tensors 95 fill(AccessorType(src)); 96 97 // Compute function 98 norm_layer.run(); 99 100 return dst; 101 } 102 compute_reference(const TensorShape & shape,NormalizationLayerInfo info,DataType data_type)103 SimpleTensor<T> compute_reference(const TensorShape &shape, NormalizationLayerInfo info, DataType data_type) 104 { 105 // Create reference 106 SimpleTensor<T> src{ shape, data_type, 1 }; 107 108 // Fill reference 109 fill(src); 110 111 return reference::normalization_layer<T>(src, info); 112 } 113 114 TensorType _target{}; 115 SimpleTensor<T> _reference{}; 116 }; 117 118 template <typename TensorType, typename AccessorType, typename FunctionType, typename T> 119 class NormalizationValidationFixture : public NormalizationValidationGenericFixture<TensorType, AccessorType, FunctionType, T> 120 { 121 public: 122 template <typename...> setup(TensorShape shape,NormType norm_type,int norm_size,float beta,bool is_scaled,DataType data_type,DataLayout data_layout)123 void setup(TensorShape shape, NormType norm_type, int norm_size, float beta, bool is_scaled, DataType data_type, DataLayout data_layout) 124 { 125 NormalizationValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, norm_type, norm_size, beta, is_scaled, data_type, data_layout); 126 } 127 }; 128 } // namespace validation 129 } // namespace test 130 } // namespace arm_compute 131 #endif /* ARM_COMPUTE_TEST_NORMALIZATION_LAYER_FIXTURE */ 132