KellenSunderland commented on a change in pull request #11325: Added TensorRT runtime integration URL: https://github.com/apache/incubator-mxnet/pull/11325#discussion_r202723459
########## File path: src/common/serialization.h ########## @@ -0,0 +1,319 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you 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. + */ + +/*! + * Copyright (c) 2015 by Contributors + * \file serialization.h + * \brief Serialization of some STL and nnvm data-structures + * \author Clement Fuji Tsang + */ + +#ifndef MXNET_COMMON_SERIALIZATION_H_ +#define MXNET_COMMON_SERIALIZATION_H_ + +#include <dmlc/logging.h> +#include <mxnet/graph_attr_types.h> +#include <nnvm/graph_attr_types.h> +#include <nnvm/tuple.h> + +#include <cstring> +#include <map> +#include <set> +#include <string> +#include <tuple> +#include <unordered_map> +#include <unordered_set> +#include <utility> +#include <vector> + + +namespace mxnet { +namespace common { + +template<typename T> +inline size_t serialized_size(const T& obj); + +template<typename T> +inline size_t serialized_size(const nnvm::Tuple<T>& obj); + +template<typename K, typename V> +inline size_t serialized_size(const std::map<K, V>& obj); + +template<> +inline size_t serialized_size(const std::string& obj); + +template<typename... Args> +inline size_t serialized_size(const std::tuple<Args...>& obj); + +template<typename T> +inline void serialize(const T& obj, char** buffer); + +template<typename T> +inline void serialize(const nnvm::Tuple<T>& obj, char** buffer); + +template<typename K, typename V> +inline void serialize(const std::map<K, V>& obj, char** buffer); + +template<> +inline void serialize(const std::string& obj, char** buffer); + +template<typename... Args> +inline void serialize(const std::tuple<Args...>& obj, char** buffer); + +template<typename T> +inline void deserialize(T* obj, const std::string& buffer, size_t* curr_pos); + +template<typename T> +inline void deserialize(nnvm::Tuple<T>* obj, const std::string& buffer, size_t* curr_pos); + +template<typename K, typename V> +inline void deserialize(std::map<K, V>* obj, const std::string& buffer, size_t* curr_pos); + +template<> +inline void deserialize(std::string* obj, const std::string& buffer, size_t* curr_pos); + +template<typename... Args> +inline void deserialize(std::tuple<Args...>* obj, const std::string& buffer, size_t* curr_pos); + + +template<typename T> +struct is_container { + static const bool value = !std::is_pod<T>::value; +}; + +template<typename T> +inline size_t serialized_size(const T& obj) { + return sizeof(T); +} + +template<typename T> +inline size_t serialized_size(const nnvm::Tuple<T>& obj) { + if (is_container<T>::value) { + size_t sum_val = 4; + for (auto& el : obj) { + sum_val += serialized_size(el); + } + return sum_val; + } else { + return 4 + (obj.ndim() * sizeof(T)); + } +} + +template<typename K, typename V> +inline size_t serialized_size(const std::map<K, V>& obj) { + size_t sum_val = 4; + if (is_container<K>::value && is_container<V>::value) { + for (const auto& p : obj) { + sum_val += serialized_size(p.first) + serialized_size(p.second); + } + } else if (is_container<K>::value) { + for (const auto& p : obj) { + sum_val += serialized_size(p.first); + } + sum_val += sizeof(V) * obj.size(); + } else if (is_container<K>::value) { Review comment: Again, this looks like a copy and paste error to me. You're checking the same condition twice, is this intended? ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
