1 /* 2 * Copyright (c) 2017-2022 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_REDUCTION_OPERATION_FIXTURE 25 #define ARM_COMPUTE_TEST_REDUCTION_OPERATION_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/ReductionOperation.h" 37 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 ReductionOperationValidationFixture : public framework::Fixture 46 { 47 public: 48 template <typename...> 49 void setup(TensorShape shape, DataType data_type, unsigned int axis, ReductionOperation op, QuantizationInfo quantization_info, bool keep_dims = false) 50 { 51 const bool is_arg_min_max = (op == ReductionOperation::ARG_IDX_MAX) || (op == ReductionOperation::ARG_IDX_MIN); 52 _keep_dims = keep_dims && !is_arg_min_max; 53 54 const TensorShape output_shape = arm_compute::misc::shape_calculator::compute_reduced_shape(shape, axis, _keep_dims); 55 56 _target = compute_target(shape, data_type, axis, op, quantization_info); 57 _reference = compute_reference(shape, output_shape, data_type, axis, op, quantization_info); 58 } 59 60 protected: 61 template <typename U> fill(U && tensor)62 void fill(U &&tensor) 63 { 64 if(tensor.data_type() == DataType::F32) 65 { 66 std::uniform_real_distribution<float> distribution(-1.0f, 1.0f); 67 library->fill(tensor, distribution, 0); 68 } 69 else if(tensor.data_type() == DataType::F16) 70 { 71 arm_compute::utils::uniform_real_distribution_16bit<half> distribution{ -1.0f, 1.0f }; 72 library->fill(tensor, distribution, 0); 73 } 74 else if(is_data_type_quantized(tensor.data_type())) 75 { 76 if(tensor.data_type() == DataType::QASYMM8) 77 { 78 std::pair<int, int> bounds = get_quantized_bounds(tensor.quantization_info(), -1.0f, 1.0f); 79 std::uniform_int_distribution<uint32_t> distribution(bounds.first, bounds.second); 80 81 library->fill(tensor, distribution, 0); 82 } 83 else if(tensor.data_type() == DataType::QASYMM8_SIGNED) 84 { 85 std::pair<int, int> bounds = get_quantized_qasymm8_signed_bounds(tensor.quantization_info(), -1.0f, 1.0f); 86 std::uniform_int_distribution<int32_t> distribution(bounds.first, bounds.second); 87 88 library->fill(tensor, distribution, 0); 89 } 90 else 91 { 92 ARM_COMPUTE_ERROR("Not supported"); 93 } 94 } 95 else 96 { 97 library->fill_tensor_uniform(tensor, 0); 98 } 99 } 100 compute_target(const TensorShape & src_shape,DataType data_type,unsigned int axis,ReductionOperation op,QuantizationInfo quantization_info)101 TensorType compute_target(const TensorShape &src_shape, DataType data_type, unsigned int axis, ReductionOperation op, QuantizationInfo quantization_info) 102 { 103 // Create tensors 104 TensorType src = create_tensor<TensorType>(src_shape, data_type, 1, quantization_info); 105 TensorType dst; 106 107 // Create and configure function 108 FunctionType reduction_func; 109 reduction_func.configure(&src, &dst, axis, op, _keep_dims); 110 111 ARM_COMPUTE_ASSERT(src.info()->is_resizable()); 112 ARM_COMPUTE_ASSERT(dst.info()->is_resizable()); 113 114 // Allocate tensors 115 src.allocator()->allocate(); 116 dst.allocator()->allocate(); 117 118 ARM_COMPUTE_ASSERT(!src.info()->is_resizable()); 119 ARM_COMPUTE_ASSERT(!dst.info()->is_resizable()); 120 121 // Fill tensors 122 fill(AccessorType(src)); 123 124 // Compute function 125 reduction_func.run(); 126 127 return dst; 128 } 129 compute_reference(const TensorShape & src_shape,const TensorShape & dst_shape,DataType data_type,unsigned int axis,ReductionOperation op,QuantizationInfo quantization_info)130 SimpleTensor<T> compute_reference(const TensorShape &src_shape, const TensorShape &dst_shape, DataType data_type, unsigned int axis, ReductionOperation op, QuantizationInfo quantization_info) 131 { 132 // Create reference 133 SimpleTensor<T> src{ src_shape, data_type, 1, quantization_info }; 134 135 // Fill reference 136 fill(src); 137 138 return reference::reduction_operation<T, T>(src, dst_shape, axis, op, quantization_info); 139 } 140 141 TensorType _target{}; 142 SimpleTensor<T> _reference{}; 143 144 private: 145 bool _keep_dims{ false }; 146 }; 147 148 template <typename TensorType, typename AccessorType, typename FunctionType, typename T> 149 class ReductionOperationQuantizedFixture : public ReductionOperationValidationFixture<TensorType, AccessorType, FunctionType, T> 150 { 151 public: 152 template <typename...> 153 void setup(TensorShape shape, DataType data_type, unsigned int axis, ReductionOperation op, QuantizationInfo quantization_info = QuantizationInfo(), bool keep_dims = false) 154 { 155 ReductionOperationValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, axis, op, quantization_info, keep_dims); 156 } 157 }; 158 159 template <typename TensorType, typename AccessorType, typename FunctionType, typename T> 160 class ReductionOperationFixture : public ReductionOperationValidationFixture<TensorType, AccessorType, FunctionType, T> 161 { 162 public: 163 template <typename...> 164 void setup(TensorShape shape, DataType data_type, unsigned int axis, ReductionOperation op, bool keep_dims = false) 165 { 166 ReductionOperationValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, axis, op, QuantizationInfo(), keep_dims); 167 } 168 }; 169 } // namespace validation 170 } // namespace test 171 } // namespace arm_compute 172 #endif /* ARM_COMPUTE_TEST_REDUCTION_OPERATION_FIXTURE */ 173