1 /* 2 * Copyright (c) 2018-2021 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_ARITHMETIC_DIVISION_FIXTURE 25 #define ARM_COMPUTE_TEST_ARITHMETIC_DIVISION_FIXTURE 26 27 #include "arm_compute/core/TensorShape.h" 28 #include "arm_compute/core/Types.h" 29 #include "tests/AssetsLibrary.h" 30 #include "tests/Globals.h" 31 #include "tests/IAccessor.h" 32 #include "tests/framework/Asserts.h" 33 #include "tests/framework/Fixture.h" 34 #include "tests/validation/Helpers.h" 35 #include "tests/validation/reference/ArithmeticDivision.h" 36 37 namespace arm_compute 38 { 39 namespace test 40 { 41 namespace validation 42 { 43 template <typename TensorType, typename AccessorType, typename FunctionType, typename T> 44 class ArithmeticDivisionBroadcastValidationFixture : public framework::Fixture 45 { 46 public: 47 template <typename...> setup(const TensorShape & shape0,const TensorShape & shape1,DataType data_type)48 void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type) 49 { 50 _target = compute_target(shape0, shape1, data_type); 51 _reference = compute_reference(shape0, shape1, data_type); 52 } 53 54 protected: 55 template <typename U> fill(U && tensor,int i)56 void fill(U &&tensor, int i) 57 { 58 static_assert(std::is_floating_point<T>::value || std::is_same<T, half>::value, "Only floating point data types supported."); 59 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; 60 61 DistributionType distribution{ T(1.0f), T(5.0f) }; 62 library->fill(tensor, distribution, i); 63 } 64 compute_target(const TensorShape & shape0,const TensorShape & shape1,DataType data_type)65 TensorType compute_target(const TensorShape &shape0, const TensorShape &shape1, DataType data_type) 66 { 67 // Create tensors 68 TensorType ref_src1 = create_tensor<TensorType>(shape0, data_type, 1); 69 TensorType ref_src2 = create_tensor<TensorType>(shape1, data_type, 1); 70 TensorType dst = create_tensor<TensorType>(TensorShape::broadcast_shape(shape0, shape1), data_type); 71 72 // Create and configure function 73 FunctionType add; 74 add.configure(&ref_src1, &ref_src2, &dst); 75 76 ARM_COMPUTE_ASSERT(ref_src1.info()->is_resizable()); 77 ARM_COMPUTE_ASSERT(ref_src2.info()->is_resizable()); 78 ARM_COMPUTE_ASSERT(dst.info()->is_resizable()); 79 80 // Allocate tensors 81 ref_src1.allocator()->allocate(); 82 ref_src2.allocator()->allocate(); 83 dst.allocator()->allocate(); 84 85 ARM_COMPUTE_ASSERT(!ref_src1.info()->is_resizable()); 86 ARM_COMPUTE_ASSERT(!ref_src2.info()->is_resizable()); 87 ARM_COMPUTE_ASSERT(!dst.info()->is_resizable()); 88 89 // Fill tensors 90 fill(AccessorType(ref_src1), 0); 91 fill(AccessorType(ref_src2), 1); 92 93 // Compute function 94 add.run(); 95 96 return dst; 97 } 98 compute_reference(const TensorShape & shape0,const TensorShape & shape1,DataType data_type)99 SimpleTensor<T> compute_reference(const TensorShape &shape0, const TensorShape &shape1, DataType data_type) 100 { 101 // Create reference 102 SimpleTensor<T> ref_src1{ shape0, data_type, 1 }; 103 SimpleTensor<T> ref_src2{ shape1, data_type, 1 }; 104 105 // Fill reference 106 fill(ref_src1, 0); 107 fill(ref_src2, 1); 108 109 return reference::arithmetic_division<T>(ref_src1, ref_src2, data_type); 110 } 111 112 TensorType _target{}; 113 SimpleTensor<T> _reference{}; 114 }; 115 116 template <typename TensorType, typename AccessorType, typename FunctionType, typename T> 117 class ArithmeticDivisionValidationFixture : public ArithmeticDivisionBroadcastValidationFixture<TensorType, AccessorType, FunctionType, T> 118 { 119 public: 120 template <typename...> setup(const TensorShape & shape,DataType data_type)121 void setup(const TensorShape &shape, DataType data_type) 122 { 123 ArithmeticDivisionBroadcastValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, shape, data_type); 124 } 125 }; 126 } // namespace validation 127 } // namespace test 128 } // namespace arm_compute 129 #endif /* ARM_COMPUTE_TEST_ARITHMETIC_DIVISION_FIXTURE */ 130