1 /* 2 * Copyright (c) 2018-2020 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_ARG_MIN_MAX_FIXTURE 25 #define ARM_COMPUTE_TEST_ARG_MIN_MAX_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/Helpers.h" 37 #include "tests/validation/reference/ReductionOperation.h" 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 ArgMinMaxValidationBaseFixture : public framework::Fixture 47 { 48 public: 49 template <typename...> setup(TensorShape shape,DataType data_type,int axis,ReductionOperation op,QuantizationInfo q_info)50 void setup(TensorShape shape, DataType data_type, int axis, ReductionOperation op, QuantizationInfo q_info) 51 { 52 _target = compute_target(shape, data_type, axis, op, q_info); 53 _reference = compute_reference(shape, data_type, axis, op, q_info); 54 } 55 56 protected: 57 template <typename U> fill(U && tensor)58 void fill(U &&tensor) 59 { 60 switch(tensor.data_type()) 61 { 62 case DataType::F32: 63 case DataType::F16: 64 { 65 std::uniform_real_distribution<> distribution(-1.0f, 1.0f); 66 library->fill(tensor, distribution, 0); 67 break; 68 } 69 case DataType::S32: 70 { 71 std::uniform_int_distribution<int32_t> distribution(-100, 100); 72 library->fill(tensor, distribution, 0); 73 break; 74 } 75 case DataType::QASYMM8: 76 { 77 std::pair<int, int> bounds = get_quantized_bounds(tensor.quantization_info(), -1.0f, 1.0f); 78 std::uniform_int_distribution<uint8_t> distribution(bounds.first, bounds.second); 79 80 library->fill(tensor, distribution, 0); 81 break; 82 } 83 case 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<int8_t> distribution(bounds.first, bounds.second); 87 88 library->fill(tensor, distribution, 0); 89 break; 90 } 91 default: 92 ARM_COMPUTE_ERROR("DataType for Elementwise Negation Not implemented"); 93 } 94 } 95 compute_target(TensorShape & src_shape,DataType data_type,int axis,ReductionOperation op,QuantizationInfo q_info)96 TensorType compute_target(TensorShape &src_shape, DataType data_type, int axis, ReductionOperation op, QuantizationInfo q_info) 97 { 98 // Create tensors 99 TensorType src = create_tensor<TensorType>(src_shape, data_type, 1, q_info); 100 TensorType dst; 101 102 // Create and configure function 103 FunctionType arg_min_max_layer; 104 arg_min_max_layer.configure(&src, axis, &dst, op); 105 106 ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); 107 ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); 108 109 // Allocate tensors 110 src.allocator()->allocate(); 111 dst.allocator()->allocate(); 112 113 ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); 114 ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); 115 116 // Fill tensors 117 fill(AccessorType(src)); 118 119 // Compute function 120 arg_min_max_layer.run(); 121 122 return dst; 123 } 124 compute_reference(TensorShape & src_shape,DataType data_type,int axis,ReductionOperation op,QuantizationInfo q_info)125 SimpleTensor<int32_t> compute_reference(TensorShape &src_shape, DataType data_type, int axis, ReductionOperation op, QuantizationInfo q_info) 126 { 127 // Create reference 128 SimpleTensor<T> src{ src_shape, data_type, 1, q_info }; 129 130 // Fill reference 131 fill(src); 132 133 TensorShape output_shape = arm_compute::misc::shape_calculator::compute_reduced_shape(src_shape, axis, false); 134 return reference::reduction_operation<T, int32_t>(src, output_shape, axis, op); 135 } 136 137 TensorType _target{}; 138 SimpleTensor<int32_t> _reference{}; 139 }; 140 141 template <typename TensorType, typename AccessorType, typename FunctionType, typename T> 142 class ArgMinMaxValidationQuantizedFixture : public ArgMinMaxValidationBaseFixture<TensorType, AccessorType, FunctionType, T> 143 { 144 public: 145 template <typename...> setup(const TensorShape & shape,DataType data_type,int axis,ReductionOperation op,QuantizationInfo quantization_info)146 void setup(const TensorShape &shape, DataType data_type, int axis, ReductionOperation op, QuantizationInfo quantization_info) 147 { 148 ArgMinMaxValidationBaseFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, axis, op, quantization_info); 149 } 150 }; 151 152 template <typename TensorType, typename AccessorType, typename FunctionType, typename T> 153 class ArgMinMaxValidationFixture : public ArgMinMaxValidationBaseFixture<TensorType, AccessorType, FunctionType, T> 154 { 155 public: 156 template <typename...> setup(const TensorShape & shape,DataType data_type,int axis,ReductionOperation op)157 void setup(const TensorShape &shape, DataType data_type, int axis, ReductionOperation op) 158 { 159 ArgMinMaxValidationBaseFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, axis, op, QuantizationInfo()); 160 } 161 }; 162 } // namespace validation 163 } // namespace test 164 } // namespace arm_compute 165 #endif /* ARM_COMPUTE_TEST_ARG_MIN_MAX_FIXTURE */ 166