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 #ifndef TENSORFLOW_LITE_KERNELS_RESHAPE_TEST_COMMON_H_ 16 #define TENSORFLOW_LITE_KERNELS_RESHAPE_TEST_COMMON_H_ 17 18 #include <stdint.h> 19 20 #include <initializer_list> 21 #include <string> 22 #include <vector> 23 24 #include "tensorflow/lite/kernels/test_util.h" 25 #include "tensorflow/lite/schema/schema_generated.h" 26 #include "tensorflow/lite/string_type.h" 27 28 namespace tflite { 29 // There are three ways to specify the output shape of a Reshape 30 // op. 31 enum class ShapeSpecificationType { 32 // The output shape is hardcoded in the ReshapeOptions object. 33 kAsReshapeOption, 34 // The output shape is specified as an input tensor, which is connected to a 35 // Const node, which is guaranteed not to change once inference starts. The 36 // shape is also hardcoded as in kAsReshapeOption. 37 kAsConstantTensor, 38 // The output shape is specified as an input tensor that can change based on 39 // external input. That is, the shape is not know before the inference 40 // starts. The shape is also hardcoded as in kAsReshapeOption. 41 kAsTensor, 42 }; 43 44 template <typename T, typename BASE = SingleOpModel> 45 class ReshapeOpModel : public BASE { 46 public: ReshapeOpModel(std::initializer_list<int> input_shape,std::initializer_list<int> shape_shape,std::initializer_list<int> shape_data,ShapeSpecificationType shape_type)47 ReshapeOpModel(std::initializer_list<int> input_shape, 48 std::initializer_list<int> shape_shape, 49 std::initializer_list<int> shape_data, 50 ShapeSpecificationType shape_type) { 51 switch (shape_type) { 52 case ShapeSpecificationType::kAsTensor: 53 this->BuildWithTensorShape(input_shape, shape_shape, shape_data); 54 break; 55 case ShapeSpecificationType::kAsConstantTensor: 56 this->BuildWithConstantTensorShape(input_shape, shape_shape, 57 shape_data); 58 break; 59 case ShapeSpecificationType::kAsReshapeOption: 60 // In this case the shape of the new shape doesn't matter. It is 61 // always hardcoded as a flat vector. 62 this->BuildWithHardcodedShape(input_shape, shape_data); 63 break; 64 } 65 } 66 SetInput(std::vector<T> data)67 void SetInput(std::vector<T> data) { 68 this->template PopulateTensor<T>(input_, data); 69 } 70 SetStringInput(std::initializer_list<string> data)71 void SetStringInput(std::initializer_list<string> data) { 72 this->PopulateStringTensor(input_, data); 73 } 74 GetOutput()75 std::vector<T> GetOutput() { 76 return this->template ExtractVector<T>(output_); 77 } GetOutputShape()78 std::vector<int> GetOutputShape() { return this->GetTensorShape(output_); } 79 80 private: BuildWithHardcodedShape(std::initializer_list<int> input_shape,std::initializer_list<int> shape_data)81 void BuildWithHardcodedShape(std::initializer_list<int> input_shape, 82 std::initializer_list<int> shape_data) { 83 input_ = this->AddInput({GetTensorType<T>(), input_shape}); 84 output_ = this->AddOutput(GetTensorType<T>()); 85 this->SetBuiltinOp( 86 BuiltinOperator_RESHAPE, BuiltinOptions_ReshapeOptions, 87 CreateReshapeOptions( 88 this->builder_, 89 this->builder_.template CreateVector<int>(shape_data)) 90 .Union()); 91 this->BuildInterpreter({this->GetShape(input_)}); 92 } 93 BuildWithTensorShape(std::initializer_list<int> input_shape,std::initializer_list<int> shape_shape,std::initializer_list<int> shape_data)94 void BuildWithTensorShape(std::initializer_list<int> input_shape, 95 std::initializer_list<int> shape_shape, 96 std::initializer_list<int> shape_data) { 97 input_ = this->AddInput({GetTensorType<T>(), input_shape}); 98 output_ = this->AddOutput(GetTensorType<T>()); 99 int shape_input_tensor = this->AddInput({TensorType_INT32, shape_shape}); 100 // Note how shape also appears in ReshapeOptions 101 this->SetBuiltinOp( 102 BuiltinOperator_RESHAPE, BuiltinOptions_ReshapeOptions, 103 CreateReshapeOptions( 104 this->builder_, 105 this->builder_.template CreateVector<int>(shape_data)) 106 .Union()); 107 this->BuildInterpreter( 108 {this->GetShape(input_), this->GetShape(shape_input_tensor)}); 109 if (shape_data.size() != 0) { 110 this->template PopulateTensor<int32_t>(shape_input_tensor, shape_data); 111 } 112 } 113 BuildWithConstantTensorShape(std::initializer_list<int> input_shape,std::initializer_list<int> shape_shape,std::initializer_list<int> shape_data)114 void BuildWithConstantTensorShape(std::initializer_list<int> input_shape, 115 std::initializer_list<int> shape_shape, 116 std::initializer_list<int> shape_data) { 117 input_ = this->AddInput({GetTensorType<T>(), input_shape}); 118 output_ = this->AddOutput(GetTensorType<T>()); 119 this->AddConstInput(TensorType_INT32, shape_data, shape_shape); 120 // Note how the shape also appears in the ReshapeOptions. 121 this->SetBuiltinOp( 122 BuiltinOperator_RESHAPE, BuiltinOptions_ReshapeOptions, 123 CreateReshapeOptions( 124 this->builder_, 125 this->builder_.template CreateVector<int>(shape_data)) 126 .Union()); 127 this->BuildInterpreter({this->GetShape(input_)}); 128 } 129 130 int input_; 131 int output_; 132 }; 133 134 } // namespace tflite 135 136 #endif // TENSORFLOW_LITE_KERNELS_RESHAPE_TEST_COMMON_H_ 137