1 /* Copyright 2018 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_FLEX_TEST_UTIL_H_ 17 #define TENSORFLOW_LITE_DELEGATES_FLEX_TEST_UTIL_H_ 18 19 #include "tensorflow/c/c_api_internal.h" 20 #include "tensorflow/lite/kernels/test_util.h" 21 22 namespace tflite { 23 namespace flex { 24 namespace testing { 25 26 enum TfOpType { 27 kUnpack, 28 kIdentity, 29 kAdd, 30 kMul, 31 kRfft, 32 kImag, 33 // Represents an op that does not exist in TensorFlow. 34 kNonExistent, 35 // Represents an valid TensorFlow op where the NodeDef is incompatible. 36 kIncompatibleNodeDef, 37 }; 38 39 // This class creates models with TF and TFLite ops. In order to use this class 40 // to test the Flex delegate, implement a function that calls 41 // interpreter->ModifyGraphWithDelegate. 42 class FlexModelTest : public ::testing::Test { 43 public: FlexModelTest()44 FlexModelTest() {} ~FlexModelTest()45 ~FlexModelTest() {} 46 47 bool Invoke(); 48 49 // Sets the (typed) tensor's values at the given index. 50 template <typename T> SetTypedValues(int tensor_index,const std::vector<T> & values)51 void SetTypedValues(int tensor_index, const std::vector<T>& values) { 52 memcpy(interpreter_->typed_tensor<T>(tensor_index), values.data(), 53 values.size() * sizeof(T)); 54 } 55 56 // Returns the (typed) tensor's values at the given index. 57 template <typename T> GetTypedValues(int tensor_index)58 std::vector<T> GetTypedValues(int tensor_index) { 59 const TfLiteTensor* t = interpreter_->tensor(tensor_index); 60 const T* tdata = interpreter_->typed_tensor<T>(tensor_index); 61 return std::vector<T>(tdata, tdata + t->bytes / sizeof(T)); 62 } 63 64 // Sets the tensor's values at the given index. SetValues(int tensor_index,const std::vector<float> & values)65 void SetValues(int tensor_index, const std::vector<float>& values) { 66 SetTypedValues<float>(tensor_index, values); 67 } 68 void SetStringValues(int tensor_index, const std::vector<string>& values); 69 70 // Returns the tensor's values at the given index. GetValues(int tensor_index)71 std::vector<float> GetValues(int tensor_index) { 72 return GetTypedValues<float>(tensor_index); 73 } 74 std::vector<string> GetStringValues(int tensor_index) const; 75 76 // Sets the tensor's shape at the given index. 77 void SetShape(int tensor_index, const std::vector<int>& values); 78 79 // Returns the tensor's shape at the given index. 80 std::vector<int> GetShape(int tensor_index); 81 82 // Returns the tensor's type at the given index. 83 TfLiteType GetType(int tensor_index); 84 85 // Returns if the tensor at the given index is dynamic. 86 bool IsDynamicTensor(int tensor_index); 87 error_reporter()88 const TestErrorReporter& error_reporter() const { return error_reporter_; } 89 90 // Adds `num_tensor` tensors to the model. `inputs` contains the indices of 91 // the input tensors and `outputs` contains the indices of the output 92 // tensors. All tensors are set to have `type` and `dims`. 93 void AddTensors(int num_tensors, const std::vector<int>& inputs, 94 const std::vector<int>& outputs, TfLiteType type, 95 const std::vector<int>& dims); 96 97 // Set a constant tensor of the given shape, type and buffer at the given 98 // index. 99 void SetConstTensor(int tensor_index, const std::vector<int>& values, 100 TfLiteType type, const char* buffer, size_t bytes); 101 102 // Adds a TFLite Mul op. `inputs` contains the indices of the input tensors 103 // and `outputs` contains the indices of the output tensors. 104 void AddTfLiteMulOp(const std::vector<int>& inputs, 105 const std::vector<int>& outputs); 106 107 // Adds a TensorFlow op. `inputs` contains the indices of the 108 // input tensors and `outputs` contains the indices of the output tensors. 109 // This function is limited to the set of ops defined in TfOpType. 110 void AddTfOp(TfOpType op, const std::vector<int>& inputs, 111 const std::vector<int>& outputs); 112 113 protected: 114 std::unique_ptr<Interpreter> interpreter_; 115 TestErrorReporter error_reporter_; 116 std::vector<int> tf_ops_; 117 118 private: 119 // Helper method to add a TensorFlow op. tflite_names needs to start with 120 // "Flex" in order to work with the Flex delegate. 121 void AddTfOp(const char* tflite_name, const string& tf_name, 122 const string& nodedef_str, const std::vector<int>& inputs, 123 const std::vector<int>& outputs); 124 125 std::vector<std::vector<uint8_t>> flexbuffers_; 126 127 int next_op_index_ = 0; 128 }; 129 130 } // namespace testing 131 } // namespace flex 132 } // namespace tflite 133 134 #endif // TENSORFLOW_LITE_DELEGATES_FLEX_TEST_UTIL_H_ 135