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enable TensorRT integration with cpp api
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haohuw
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Jul 3, 2019
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,115 @@ | ||
| /* | ||
| * 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. | ||
| */ | ||
|
|
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| /*! | ||
| * Copyright (c) 2019 by Contributors | ||
| * \file contrib.h | ||
| * \brief utility function to enable some contrib features | ||
| * \author Haohuan Wang | ||
| */ | ||
| #ifndef MXNET_CPP_CONTRIB_H_ | ||
| #define MXNET_CPP_CONTRIB_H_ | ||
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| #include <iostream> | ||
| #include <string> | ||
| #include <map> | ||
| #include <vector> | ||
| #include "mxnet-cpp/symbol.h" | ||
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| namespace mxnet { | ||
| namespace cpp { | ||
| namespace details { | ||
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| /*! | ||
| * split a string with the given delimiter | ||
| * @param str string to be parsed | ||
| * @param delimiter delimiter | ||
| * @return delimited list of string | ||
| */ | ||
| inline std::vector<std::string> split(const std::string& str, const std::string& delimiter) { | ||
| std::vector<std::string> splitted; | ||
| size_t last = 0; | ||
| size_t next = 0; | ||
| while ((next = str.find(delimiter, last)) != std::string::npos) { | ||
| splitted.push_back(str.substr(last, next - last)); | ||
| last = next + 1; | ||
| } | ||
| splitted.push_back(str.substr(last)); | ||
| return splitted; | ||
| } | ||
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| } // namespace details | ||
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| namespace contrib { | ||
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| // needs to be same with | ||
| // https://github.com/apache/incubator-mxnet/blob/1c874cfc807cee755c38f6486e8e0f4d94416cd8/src/operator/subgraph/tensorrt/tensorrt-inl.h#L190 | ||
| static const std::string TENSORRT_SUBGRAPH_PARAM_IDENTIFIER = "subgraph_params_names"; | ||
| // needs to be same with | ||
| // https://github.com/apache/incubator-mxnet/blob/master/src/operator/subgraph/tensorrt/tensorrt.cc#L244 | ||
| static const std::string TENSORRT_SUBGRAPH_PARAM_PREFIX = "subgraph_param_"; | ||
| /*! | ||
| * this is a mimic to https://github.com/apache/incubator-mxnet/blob/master/python/mxnet/contrib/tensorrt.py#L37 | ||
| * @param symbol symbol that already called subgraph api | ||
| * @param argParams original arg params, params needed by tensorrt will be removed after calling this function | ||
| * @param auxParams original aux params, params needed by tensorrt will be removed after calling this function | ||
| */ | ||
| inline void InitTensorRTParams(const mxnet::cpp::Symbol& symbol, | ||
| std::map<std::string, mxnet::cpp::NDArray> *argParams, | ||
| std::map<std::string, mxnet::cpp::NDArray> *auxParams) { | ||
| mxnet::cpp::Symbol internals = symbol.GetInternals(); | ||
| mx_uint numSymbol = internals.GetNumOutputs(); | ||
| for (mx_uint i = 0; i < numSymbol; ++i) { | ||
| std::map<std::string, std::string> attrs = internals[i].ListAttributes(); | ||
| if (attrs.find(TENSORRT_SUBGRAPH_PARAM_IDENTIFIER) != attrs.end()) { | ||
| std::string new_params_names; | ||
| std::map<std::string, mxnet::cpp::NDArray> tensorrtParams; | ||
| std::vector<std::string> keys = details::split( | ||
| attrs[TENSORRT_SUBGRAPH_PARAM_IDENTIFIER], ";"); | ||
| for (const auto& key : keys) { | ||
| if (argParams->find(key) != argParams->end()) { | ||
| new_params_names += key + ";"; | ||
| tensorrtParams[TENSORRT_SUBGRAPH_PARAM_PREFIX + key] = (*argParams)[key]; | ||
| argParams->erase(key); | ||
| } else if (auxParams->find(key) != auxParams->end()) { | ||
| new_params_names += key + ";"; | ||
| tensorrtParams[TENSORRT_SUBGRAPH_PARAM_PREFIX + key] = (*auxParams)[key]; | ||
| auxParams->erase(key); | ||
| } | ||
| } | ||
| std::map<std::string, std::string> new_attrs = {}; | ||
| for (const auto& kv : tensorrtParams) { | ||
| // passing the ndarray address into TRT node attributes to get the weight | ||
| uint64_t address = reinterpret_cast<uint64_t>(kv.second.GetHandle()); | ||
| new_attrs[kv.first] = std::to_string(address); | ||
| } | ||
| if (!new_attrs.empty()) { | ||
| internals[i].SetAttributes(new_attrs); | ||
| internals[i].SetAttribute(TENSORRT_SUBGRAPH_PARAM_IDENTIFIER, | ||
| new_params_names.substr(0, new_params_names.length() - 1)); | ||
| } | ||
| } | ||
| } | ||
| } | ||
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| } // namespace contrib | ||
| } // namespace cpp | ||
| } // namespace mxnet | ||
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| #endif // MXNET_CPP_CONTRIB_H_ |
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