1 /* Copyright 2020 The TensorFlow Authors. All Rights Reserved. 2 3 Licensed under the Apache License, Version 2.0 (the "License"); 4 you may not use this file except in compliance with the License. 5 You may obtain a copy of the License at 6 7 http://www.apache.org/licenses/LICENSE-2.0 8 9 Unless required by applicable law or agreed to in writing, software 10 distributed under the License is distributed on an "AS IS" BASIS, 11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 See the License for the specific language governing permissions and 13 limitations under the License. 14 ==============================================================================*/ 15 16 #ifndef TENSORFLOW_LITE_DELEGATES_XNNPACK_REDUCE_TESTER_H_ 17 #define TENSORFLOW_LITE_DELEGATES_XNNPACK_REDUCE_TESTER_H_ 18 19 #include <cstdint> 20 #include <unordered_set> 21 #include <vector> 22 23 #include <gtest/gtest.h> 24 #include "tensorflow/lite/c/common.h" 25 #include "tensorflow/lite/schema/schema_generated.h" 26 27 namespace tflite { 28 namespace xnnpack { 29 30 class ReduceTester { 31 public: 32 ReduceTester() = default; 33 ReduceTester(const ReduceTester&) = delete; 34 ReduceTester& operator=(const ReduceTester&) = delete; 35 InputShape(std::initializer_list<int32_t> shape)36 inline ReduceTester& InputShape(std::initializer_list<int32_t> shape) { 37 for (auto it = shape.begin(); it != shape.end(); ++it) { 38 EXPECT_GT(*it, 0); 39 } 40 input_shape_ = std::vector<int32_t>(shape.begin(), shape.end()); 41 input_size_ = ReduceTester::ComputeSize(input_shape_); 42 return *this; 43 } 44 InputShape()45 inline const std::vector<int32_t>& InputShape() const { return input_shape_; } 46 InputSize()47 inline int32_t InputSize() const { return input_size_; } 48 Axes(std::initializer_list<int32_t> axes)49 inline ReduceTester& Axes(std::initializer_list<int32_t> axes) { 50 for (auto it = axes.begin(); it != axes.end(); ++it) { 51 EXPECT_GE(*it, 0); 52 } 53 axes_ = std::vector<int32_t>(axes.begin(), axes.end()); 54 return *this; 55 } 56 Axes()57 inline const std::vector<int32_t>& Axes() const { return axes_; } 58 KeepDims(bool keep_dims)59 inline ReduceTester& KeepDims(bool keep_dims) { 60 keep_dims_ = keep_dims; 61 return *this; 62 } 63 KeepDims()64 inline bool KeepDims() const { return keep_dims_; } 65 OutputShape()66 inline std::vector<int32_t> OutputShape() const { 67 std::vector<int32_t> output_shape; 68 output_shape.reserve(InputShape().size()); 69 std::unordered_set<int32_t> axes_set(Axes().cbegin(), Axes().cend()); 70 for (int32_t i = 0; i < InputShape().size(); i++) { 71 if (axes_set.count(i) != 0) { 72 if (KeepDims()) { 73 output_shape.push_back(1); 74 } 75 } else { 76 output_shape.push_back(InputShape()[i]); 77 } 78 } 79 return output_shape; 80 } 81 OutputSize()82 inline int32_t OutputSize() const { 83 int32_t output_size = 1; 84 std::unordered_set<int32_t> axes_set(Axes().cbegin(), Axes().cend()); 85 for (int32_t i = 0; i < InputShape().size(); i++) { 86 if (axes_set.count(i) == 0) { 87 output_size *= InputShape()[i]; 88 } 89 } 90 return output_size; 91 } 92 RelativeTolerance(float relative_tolerance)93 inline ReduceTester& RelativeTolerance(float relative_tolerance) { 94 relative_tolerance_ = relative_tolerance; 95 return *this; 96 } 97 RelativeTolerance()98 inline float RelativeTolerance() const { return relative_tolerance_; } 99 100 void Test(tflite::BuiltinOperator reduce_op, TfLiteDelegate* delegate) const; 101 102 private: 103 std::vector<char> CreateTfLiteModel(tflite::BuiltinOperator reduce_op) const; 104 105 static int32_t ComputeSize(const std::vector<int32_t>& shape); 106 107 std::vector<int32_t> input_shape_; 108 std::vector<int32_t> axes_; 109 int32_t input_size_; 110 bool keep_dims_ = true; 111 float relative_tolerance_ = 10.0f; 112 }; 113 114 } // namespace xnnpack 115 } // namespace tflite 116 117 #endif // TENSORFLOW_LITE_DELEGATES_XNNPACK_REDUCE_TESTER_H_ 118