1 /* Copyright 2021 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_QUANTIZE_TESTER_H_ 17 #define TENSORFLOW_LITE_DELEGATES_XNNPACK_QUANTIZE_TESTER_H_ 18 19 #include <cstdint> 20 #include <vector> 21 22 #include <gtest/gtest.h> 23 #include "tensorflow/lite/c/common.h" 24 #include "tensorflow/lite/interpreter.h" 25 #include "tensorflow/lite/schema/schema_generated.h" 26 27 namespace tflite { 28 namespace xnnpack { 29 30 class QuantizeTester { 31 public: 32 QuantizeTester() = default; 33 QuantizeTester(const QuantizeTester&) = delete; 34 QuantizeTester& operator=(const QuantizeTester&) = delete; 35 Shape(std::initializer_list<int32_t> shape)36 inline QuantizeTester& Shape(std::initializer_list<int32_t> shape) { 37 for (auto it = shape.begin(); it != shape.end(); ++it) { 38 EXPECT_GT(*it, 0); 39 } 40 shape_ = std::vector<int32_t>(shape.begin(), shape.end()); 41 size_ = QuantizeTester::ComputeSize(shape_); 42 return *this; 43 } 44 Shape()45 const std::vector<int32_t>& Shape() const { return shape_; } 46 Size()47 int32_t Size() const { return size_; } 48 InputZeroPoint(int32_t input_zero_point)49 inline QuantizeTester& InputZeroPoint(int32_t input_zero_point) { 50 input_zero_point_ = input_zero_point; 51 return *this; 52 } 53 InputZeroPoint()54 inline int32_t InputZeroPoint() const { return input_zero_point_; } 55 InputScale(float input_scale)56 inline QuantizeTester& InputScale(float input_scale) { 57 input_scale_ = input_scale; 58 return *this; 59 } 60 InputScale()61 inline float InputScale() const { return input_scale_; } 62 OutputZeroPoint(int32_t output_zero_point)63 inline QuantizeTester& OutputZeroPoint(int32_t output_zero_point) { 64 output_zero_point_ = output_zero_point; 65 return *this; 66 } 67 OutputZeroPoint()68 inline int32_t OutputZeroPoint() const { return output_zero_point_; } 69 OutputScale(float output_scale)70 inline QuantizeTester& OutputScale(float output_scale) { 71 output_scale_ = output_scale; 72 return *this; 73 } 74 OutputScale()75 inline float OutputScale() const { return output_scale_; } 76 Unsigned(bool is_unsigned)77 inline QuantizeTester& Unsigned(bool is_unsigned) { 78 unsigned_ = is_unsigned; 79 return *this; 80 } 81 Unsigned()82 inline bool Unsigned() const { return unsigned_; } 83 84 template <class T> 85 void PopulateInput(Interpreter* delegate_interpreter, 86 Interpreter* default_interpreter) const; 87 88 template <class T> 89 void InvokeAndCheckOutput(Interpreter* delegate_interpreter, 90 Interpreter* default_interpreter) const; 91 92 void Test(TensorType input_type, TensorType output_type, 93 TfLiteDelegate* delegate) const; 94 95 private: 96 std::vector<char> CreateTfLiteModel(TensorType input_type, 97 TensorType output_type) const; 98 99 static int32_t ComputeSize(const std::vector<int32_t>& shape); 100 101 std::vector<int32_t> shape_; 102 int32_t size_; 103 int32_t input_zero_point_ = 0; 104 float input_scale_ = 1.0f; 105 int32_t output_zero_point_ = 0; 106 float output_scale_ = 1.0f; 107 bool unsigned_ = false; 108 }; 109 110 } // namespace xnnpack 111 } // namespace tflite 112 113 #endif // TENSORFLOW_LITE_DELEGATES_XNNPACK_QUANTIZE_TESTER_H_ 114