1 /* 2 * Copyright (c) 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 TESTS_DATASETS_DYNAMICFUSIONDATASET 25 #define TESTS_DATASETS_DYNAMICFUSIONDATASET 26 27 #include "utils/TypePrinter.h" 28 29 #include "arm_compute/core/TensorShape.h" 30 #include "arm_compute/core/Types.h" 31 32 namespace arm_compute 33 { 34 namespace test 35 { 36 namespace datasets 37 { 38 class DynamicFusionThreeInputs 39 { 40 public: 41 using type = std::tuple<TensorShape, TensorShape, TensorShape>; 42 43 struct iterator 44 { iteratoriterator45 iterator(std::vector<TensorShape>::const_iterator shape0_it, 46 std::vector<TensorShape>::const_iterator shape1_it, 47 std::vector<TensorShape>::const_iterator shape2_it) 48 : _shape0_it{ std::move(shape0_it) }, 49 _shape1_it{ std::move(shape1_it) }, 50 _shape2_it{ std::move(shape2_it) } 51 { 52 } 53 descriptioniterator54 std::string description() const 55 { 56 std::stringstream description; 57 description << "shape0=" << *_shape0_it << ":"; 58 description << "shape1=" << *_shape1_it << ":"; 59 description << "shape2=" << *_shape2_it << ":"; 60 61 return description.str(); 62 } 63 64 DynamicFusionThreeInputs::type operator*() const 65 { 66 return std::make_tuple(*_shape0_it, *_shape1_it, *_shape2_it); 67 } 68 69 iterator &operator++() 70 { 71 ++_shape0_it; 72 ++_shape1_it; 73 ++_shape2_it; 74 75 return *this; 76 } 77 78 private: 79 std::vector<TensorShape>::const_iterator _shape0_it; 80 std::vector<TensorShape>::const_iterator _shape1_it; 81 std::vector<TensorShape>::const_iterator _shape2_it; 82 }; 83 begin()84 iterator begin() const 85 { 86 return iterator(_shape0_shapes.begin(), _shape1_shapes.begin(), _shape2_shapes.begin()); 87 } 88 size()89 int size() const 90 { 91 return std::min(_shape0_shapes.size(), std::min(_shape1_shapes.size(), _shape2_shapes.size())); 92 } 93 add_config(TensorShape shape0,TensorShape shape1,TensorShape shape2)94 void add_config(TensorShape shape0, TensorShape shape1, TensorShape shape2) 95 { 96 _shape0_shapes.emplace_back(std::move(shape0)); 97 _shape1_shapes.emplace_back(std::move(shape1)); 98 _shape2_shapes.emplace_back(std::move(shape2)); 99 } 100 101 protected: 102 DynamicFusionThreeInputs() = default; 103 DynamicFusionThreeInputs(DynamicFusionThreeInputs &&) = default; 104 105 private: 106 std::vector<TensorShape> _shape0_shapes{}; 107 std::vector<TensorShape> _shape1_shapes{}; 108 std::vector<TensorShape> _shape2_shapes{}; 109 }; 110 111 class DynamicFusionElementwiseBinaryTwoOpsSmallShapes final : public DynamicFusionThreeInputs 112 { 113 public: DynamicFusionElementwiseBinaryTwoOpsSmallShapes()114 DynamicFusionElementwiseBinaryTwoOpsSmallShapes() 115 { 116 add_config(TensorShape{ 9U, 9U, 5U }, TensorShape{ 9U, 9U, 5U }, TensorShape{ 9U, 9U, 5U }); 117 add_config(TensorShape{ 9U, 9U, 5U }, TensorShape{ 1U, 1U, 1U } /* Broadcast in X, Y, Z*/, TensorShape{ 9U, 9U, 5U }); 118 add_config(TensorShape{ 27U, 13U, 2U }, TensorShape{ 27U, 1U, 1U } /* Broadcast in Y and Z*/, TensorShape{ 27U, 13U, 2U }); 119 add_config(TensorShape{ 27U, 13U, 2U }, TensorShape{ 27U, 13U, 2U }, TensorShape{ 27U, 1U, 1U } /* Broadcast in Y and Z*/); 120 } 121 }; 122 123 } // namespace datasets 124 } // namespace test 125 } // namespace arm_compute 126 #endif /* TESTS_DATASETS_DYNAMICFUSIONDATASET */ 127