1 /* 2 * Copyright (c) 2017-2019 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_L2NORMALIZE_FIXTURE 25 #define ARM_COMPUTE_TEST_L2NORMALIZE_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/L2NormalizeLayer.h" 36 37 namespace arm_compute 38 { 39 namespace test 40 { 41 namespace validation 42 { 43 namespace 44 { 45 constexpr int max_input_tensor_dim = 3; 46 } // namespace 47 template <typename TensorType, typename AccessorType, typename FunctionType, typename T> 48 class L2NormalizeLayerValidationFixture : public framework::Fixture 49 { 50 public: 51 template <typename...> setup(TensorShape shape,DataType data_type,DataLayout data_layout,int axis,float epsilon)52 void setup(TensorShape shape, DataType data_type, DataLayout data_layout, int axis, float epsilon) 53 { 54 _target = compute_target(shape, data_type, data_layout, axis, epsilon); 55 _reference = compute_reference(shape, data_type, data_layout, axis, epsilon); 56 } 57 58 protected: 59 template <typename U> fill(U && tensor)60 void fill(U &&tensor) 61 { 62 std::uniform_real_distribution<> distribution(1.f, 2.f); 63 library->fill(tensor, distribution, 0); 64 } 65 compute_target(TensorShape shape,DataType data_type,DataLayout data_layout,int axis,float epsilon)66 TensorType compute_target(TensorShape shape, DataType data_type, DataLayout data_layout, int axis, float epsilon) 67 { 68 if(data_layout == DataLayout::NHWC) 69 { 70 permute(shape, PermutationVector(2U, 0U, 1U)); 71 } 72 73 // Create tensors 74 TensorType src = create_tensor<TensorType>(shape, data_type, 1, QuantizationInfo(), data_layout); 75 TensorType dst = create_tensor<TensorType>(shape, data_type, 1, QuantizationInfo(), data_layout); 76 77 // Create and configure function 78 FunctionType l2_norm_func; 79 l2_norm_func.configure(&src, &dst, axis, epsilon); 80 81 ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); 82 ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); 83 84 // Allocate tensors 85 src.allocator()->allocate(); 86 dst.allocator()->allocate(); 87 88 ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); 89 ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); 90 91 // Fill tensors 92 fill(AccessorType(src)); 93 94 // Compute function 95 l2_norm_func.run(); 96 97 return dst; 98 } 99 compute_reference(const TensorShape & shape,DataType data_type,DataLayout data_layout,int axis,float epsilon)100 SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type, DataLayout data_layout, int axis, float epsilon) 101 { 102 uint32_t actual_axis = wrap_around(axis, max_input_tensor_dim); 103 if(data_layout == DataLayout::NHWC) 104 { 105 switch(actual_axis) 106 { 107 case 0: 108 actual_axis = 2; 109 break; 110 case 1: 111 actual_axis = 0; 112 break; 113 case 2: 114 actual_axis = 1; 115 break; 116 default: 117 break; 118 } 119 } 120 // Create reference 121 SimpleTensor<T> src{ shape, data_type }; 122 123 // Fill reference 124 fill(src); 125 126 return reference::l2_normalize<T>(src, actual_axis, epsilon); 127 } 128 129 TensorType _target{}; 130 SimpleTensor<T> _reference{}; 131 }; 132 } // namespace validation 133 } // namespace test 134 } // namespace arm_compute 135 #endif /* ARM_COMPUTE_TEST_L2NORMALIZE_FIXTURE */ 136