/* Copyright 2021 The TensorFlow Authors. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. ==============================================================================*/ #ifndef TENSORFLOW_LITE_DELEGATES_XNNPACK_DEQUANTIZE_TESTER_H_ #define TENSORFLOW_LITE_DELEGATES_XNNPACK_DEQUANTIZE_TESTER_H_ #include #include #include #include #include "tensorflow/lite/core/c/common.h" #include "tensorflow/lite/interpreter.h" #include "tensorflow/lite/schema/schema_generated.h" namespace tflite { namespace xnnpack { class DequantizeTester { public: DequantizeTester() = default; DequantizeTester(const DequantizeTester&) = delete; DequantizeTester& operator=(const DequantizeTester&) = delete; inline DequantizeTester& Shape(std::initializer_list shape) { for (auto it = shape.begin(); it != shape.end(); ++it) { EXPECT_GT(*it, 0); } shape_ = std::vector(shape.begin(), shape.end()); size_ = DequantizeTester::ComputeSize(shape_); return *this; } const std::vector& Shape() const { return shape_; } int32_t Size() const { return size_; } inline DequantizeTester& InputZeroPoint(int32_t input_zero_point) { input_zero_point_ = input_zero_point; return *this; } inline int32_t InputZeroPoint() const { return input_zero_point_; } inline DequantizeTester& InputScale(float input_scale) { input_scale_ = input_scale; return *this; } inline float InputScale() const { return input_scale_; } inline DequantizeTester& Unsigned(bool is_unsigned) { unsigned_ = is_unsigned; return *this; } inline bool Unsigned() const { return unsigned_; } template void Test(Interpreter* delegate_interpreter, Interpreter* default_interpreter) const; void Test(TfLiteDelegate* delegate) const; private: std::vector CreateTfLiteModel() const; static int32_t ComputeSize(const std::vector& shape); std::vector shape_; int32_t size_; int32_t input_zero_point_ = 0; float input_scale_ = 1.0f; bool unsigned_ = false; }; } // namespace xnnpack } // namespace tflite #endif // TENSORFLOW_LITE_DELEGATES_XNNPACK_DEQUANTIZE_TESTER_H_