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Diffstat (limited to 'libs/tflite/include/tflite/Diff.h')
| -rw-r--r-- | libs/tflite/include/tflite/Diff.h | 199 |
1 files changed, 0 insertions, 199 deletions
diff --git a/libs/tflite/include/tflite/Diff.h b/libs/tflite/include/tflite/Diff.h deleted file mode 100644 index 15c672831..000000000 --- a/libs/tflite/include/tflite/Diff.h +++ /dev/null @@ -1,199 +0,0 @@ -/* - * Copyright (c) 2018 Samsung Electronics Co., Ltd. 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. - */ - -/** - * @file Diff.h - * @brief This file contains classes for testing correctess of implementation - * @ingroup COM_AI_RUNTIME - */ - -#ifndef __NNFW_TFLITE_DIFF_H__ -#define __NNFW_TFLITE_DIFF_H__ - -#include "tensorflow/contrib/lite/interpreter.h" - -#include "misc/tensor/Index.h" -#include "misc/tensor/Diff.h" -#include "misc/tensor/Shape.h" -#include "misc/tensor/Comparator.h" - -#include "tflite/TensorView.h" - -#include <functional> -#include <vector> - -/** - * @brief Class to define TfLite interpreter match application - */ -class TfLiteInterpMatchApp -{ -public: - /** - * @brief Construct a new TfLiteInterpMatchApp object with Comparator - * @param[in] comparator Comparator object for tensor comparation - */ - TfLiteInterpMatchApp(const nnfw::misc::tensor::Comparator &comparator) - : _verbose{false}, _comparator(comparator) - { - // DO NOTHING - } - -public: - /** - * @brief Get reference verbose for debugging information - * @return Reference of verbose value - */ - int &verbose(void) { return _verbose; } - -private: - int _verbose; - -public: - /** - * @brief Run two interpreter and return the output matching - * @param[in] pure Interpreter object of expected(with TfLite) - * @param[in] nnapi Interpreter object of obtained(through NNAPI) - * @return @c true if two Interpreter results are same, otherwise @c false - */ - bool run(::tflite::Interpreter &pure, ::tflite::Interpreter &nnapi) const; - /** - * @brief Compare two TensorView values and return the match result - * @param[in] expected TensorView object to read expected values - * @param[in] obtained TensorView object to read obtained values - * @param[in] id Tensor ID value used for debug message - * @return @c true if two TensorView values are same, otherwise @c false - */ - template <typename T> - bool compareSingleTensorView(const nnfw::tflite::TensorView<T> &expected, - const nnfw::tflite::TensorView<T> &obtained, int id) const; - -private: - const nnfw::misc::tensor::Comparator &_comparator; -}; - -#include "tflite/interp/Builder.h" -#include "tflite/Quantization.h" - -#include <random> - -/** - * @brief Class to generate random values - */ -class RandomGenerator -{ -public: - /** - * @brief Construct a new RandomGenerator object - * @param[in] seed Random seed value - * @param[in] mean Mean value of normal random number generation - * @param[in] stddev Standard deviation of random number generation - * @param[in] quantization TfLiteQuantizationParams type to represent quantization value - * (not used yet) - */ - RandomGenerator(int seed, float mean, float stddev, - const TfLiteQuantizationParams quantization = make_default_quantization()) - : _rand{seed}, _dist{mean, stddev}, _quantization{quantization} - { - // DO NOTHING - } - -public: - /** - * @brief Generate random numbers for type T - * @param[in] s Shape value - * @param[in] i Index value - * @return Random generated value - * @note This is same as T generate(void) as two input parameters are not used - */ - template <typename T> - T generate(const ::nnfw::misc::tensor::Shape &, const ::nnfw::misc::tensor::Index &) - { - return generate<T>(); - } - - /** - * @brief Generate random numbers for type T - * @return Random generated value - */ - template <typename T> T generate(void) { return _dist(_rand); } - -private: - std::minstd_rand _rand; - std::normal_distribution<float> _dist; - const TfLiteQuantizationParams _quantization; -}; - -template <> uint8_t RandomGenerator::generate<uint8_t>(void); - -/** - * @brief Structure for NNAPI correctness test - */ -struct RandomTestParam -{ - int verbose; //!< Verbosity of debug information - int tolerance; //!< Torlerance of value difference - int tensor_logging = 0; //!< Save logging to a file if not 0 - std::string log_path = ""; //!< Path of log file, meaningful only when tensor_logging is 1 -}; - -/** - * @brief Class to define Random test runner - */ -class RandomTestRunner -{ -public: - /** - * @brief Construct a new RandomTestRunner object - * @param[in] seed Random seed value - * @param[in] param RandomTestParam object for test runner - * @param[in] quantization TfLiteQuantizationParams type to represent quantization value - */ - RandomTestRunner(int seed, const RandomTestParam ¶m, - const TfLiteQuantizationParams quantization = make_default_quantization()) - : _randgen{seed, 0.0f, 2.0f, quantization}, _param{param} - { - // DO NOTHING - } - -public: - /** - * @brief Run the random test runner - * @param[in] builder Interpreter Builder used to run - * @return 0 if test succeeds, otherwise failure - */ - int run(const nnfw::tflite::Builder &builder); - -public: - /** - * @brief Get RandomGenerator reference - * @return RandomGenerator reference - */ - RandomGenerator &generator() { return _randgen; }; - -private: - RandomGenerator _randgen; - const RandomTestParam _param; - -public: - /** - * @brief Create a RandomTestRunner object - * @param[in] seed Random seed value - * @return RandomGenerator object - */ - static RandomTestRunner make(int seed); -}; - -#endif // __NNFW_TFLITE_DIFF_H__ |