| /* 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_QUANTIZED_FULLY_CONNECTED_TESTER_H_ |
| #define TENSORFLOW_LITE_DELEGATES_XNNPACK_QUANTIZED_FULLY_CONNECTED_TESTER_H_ |
| |
| #include <cstdint> |
| #include <vector> |
| |
| #include <gtest/gtest.h> |
| #include "tensorflow/lite/c/common.h" |
| #include "tensorflow/lite/schema/schema_generated.h" |
| |
| namespace tflite { |
| namespace xnnpack { |
| |
| class QuantizedFullyConnectedTester { |
| public: |
| QuantizedFullyConnectedTester() = default; |
| QuantizedFullyConnectedTester(const QuantizedFullyConnectedTester&) = delete; |
| QuantizedFullyConnectedTester& operator=( |
| const QuantizedFullyConnectedTester&) = delete; |
| |
| inline QuantizedFullyConnectedTester& InputShape( |
| std::initializer_list<int32_t> shape) { |
| for (auto it = shape.begin(); it != shape.end(); ++it) { |
| EXPECT_GT(*it, 0); |
| } |
| input_shape_ = std::vector<int32_t>(shape.begin(), shape.end()); |
| input_size_ = ComputeSize(input_shape_); |
| return *this; |
| } |
| |
| inline const std::vector<int32_t>& InputShape() const { return input_shape_; } |
| |
| inline int32_t InputSize() const { return input_size_; } |
| |
| inline QuantizedFullyConnectedTester& InputChannels(int32_t input_channels) { |
| EXPECT_GT(input_channels, 0); |
| input_channels_ = input_channels; |
| return *this; |
| } |
| |
| inline int32_t InputChannels() const { return input_channels_; } |
| |
| inline QuantizedFullyConnectedTester& OutputChannels( |
| int32_t output_channels) { |
| EXPECT_GT(output_channels, 0); |
| output_channels_ = output_channels; |
| return *this; |
| } |
| |
| inline int32_t OutputChannels() const { return output_channels_; } |
| |
| std::vector<int32_t> OutputShape() const; |
| |
| inline QuantizedFullyConnectedTester& InputZeroPoint( |
| int8_t input_zero_point) { |
| input_zero_point_ = input_zero_point; |
| return *this; |
| } |
| |
| inline int8_t InputZeroPoint() const { return input_zero_point_; } |
| |
| inline QuantizedFullyConnectedTester& OutputZeroPoint( |
| int8_t output_zero_point) { |
| output_zero_point_ = output_zero_point; |
| return *this; |
| } |
| |
| inline int8_t OutputZeroPoint() const { return output_zero_point_; } |
| |
| inline QuantizedFullyConnectedTester& InputScale(float input_scale) { |
| input_scale_ = input_scale; |
| return *this; |
| } |
| |
| inline float InputScale() const { return input_scale_; } |
| |
| inline QuantizedFullyConnectedTester& FilterScale(float filter_scale) { |
| filter_scale_ = filter_scale; |
| return *this; |
| } |
| |
| inline float FilterScale() const { return filter_scale_; } |
| |
| inline QuantizedFullyConnectedTester& OutputScale(float output_scale) { |
| output_scale_ = output_scale; |
| return *this; |
| } |
| |
| inline float OutputScale() const { return output_scale_; } |
| |
| inline QuantizedFullyConnectedTester& KeepDims(bool keep_dims) { |
| keep_dims_ = keep_dims; |
| return *this; |
| } |
| |
| inline bool KeepDims() const { return keep_dims_; } |
| |
| inline QuantizedFullyConnectedTester& ReluActivation() { |
| activation_ = ::tflite::ActivationFunctionType_RELU; |
| return *this; |
| } |
| |
| inline QuantizedFullyConnectedTester& Relu6Activation() { |
| activation_ = ::tflite::ActivationFunctionType_RELU6; |
| return *this; |
| } |
| |
| inline QuantizedFullyConnectedTester& ReluMinus1To1Activation() { |
| activation_ = ::tflite::ActivationFunctionType_RELU_N1_TO_1; |
| return *this; |
| } |
| |
| void Test(TfLiteDelegate* delegate) const; |
| |
| private: |
| std::vector<char> CreateTfLiteModel() const; |
| |
| inline ::tflite::ActivationFunctionType Activation() const { |
| return activation_; |
| } |
| |
| static int32_t ComputeSize(const std::vector<int32_t>& shape); |
| |
| std::vector<int32_t> input_shape_; |
| int32_t input_size_ = 1; |
| int32_t input_channels_ = 1; |
| int32_t output_channels_ = 1; |
| int8_t input_zero_point_ = 0; |
| int8_t output_zero_point_ = 0; |
| float input_scale_ = 0.8f; |
| float filter_scale_ = 0.75f; |
| float output_scale_ = 1.5f; |
| bool keep_dims_ = false; |
| ::tflite::ActivationFunctionType activation_ = |
| ::tflite::ActivationFunctionType_NONE; |
| }; |
| |
| } // namespace xnnpack |
| } // namespace tflite |
| |
| #endif // TENSORFLOW_LITE_DELEGATES_XNNPACK_QUANTIZED_FULLY_CONNECTED_TESTER_H_ |