/* Copyright (c) 2018 PaddlePaddle 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. */ #include "paddle/fluid/inference/io.h" #include #include "paddle/fluid/framework/block_desc.h" #include "paddle/fluid/framework/feed_fetch_type.h" #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/pybind/pybind.h" namespace paddle { namespace inference { // Temporarily add this function for exposing framework::InitDevices() when // linking the inference shared library. void Init(bool init_p2p) { framework::InitDevices(init_p2p); } void ReadBinaryFile(const std::string& filename, std::string& contents) { std::ifstream fin(filename, std::ios::in | std::ios::binary); PADDLE_ENFORCE(static_cast(fin), "Cannot open file %s", filename); fin.seekg(0, std::ios::end); contents.clear(); contents.resize(fin.tellg()); fin.seekg(0, std::ios::beg); fin.read(&contents[0], contents.size()); fin.close(); } bool IsPersistable(const framework::VarDesc* var) { if (var->Persistable() && var->GetType() != framework::proto::VarType::FEED_MINIBATCH && var->GetType() != framework::proto::VarType::FETCH_LIST) { return true; } return false; } void LoadPersistables(framework::Executor& executor, framework::Scope& scope, const framework::ProgramDesc& main_program, const std::string& dirname, const std::string& param_filename) { const framework::BlockDesc& global_block = main_program.Block(0); framework::ProgramDesc* load_program = new framework::ProgramDesc(); framework::BlockDesc* load_block = load_program->MutableBlock(0); std::vector paramlist; for (auto* var : global_block.AllVars()) { if (IsPersistable(var)) { VLOG(3) << "persistable variable's name: " << var->Name(); framework::VarDesc* new_var = load_block->Var(var->Name()); new_var->SetShape(var->GetShape()); new_var->SetDataType(var->GetDataType()); new_var->SetType(var->GetType()); new_var->SetLoDLevel(var->GetLoDLevel()); new_var->SetPersistable(true); if (!param_filename.empty()) { paramlist.push_back(new_var->Name()); } else { // append_op framework::OpDesc* op = load_block->AppendOp(); op->SetType("load"); op->SetOutput("Out", {new_var->Name()}); op->SetAttr("file_path", {dirname + "/" + new_var->Name()}); op->CheckAttrs(); } } } if (!param_filename.empty()) { // sort paramlist to have consistent ordering std::sort(paramlist.begin(), paramlist.end()); // append just the load_combine op framework::OpDesc* op = load_block->AppendOp(); op->SetType("load_combine"); op->SetOutput("Out", paramlist); op->SetAttr("file_path", {param_filename}); op->CheckAttrs(); } executor.Run(*load_program, &scope, 0, true, true); delete load_program; } std::unique_ptr Load(framework::Executor& executor, framework::Scope& scope, const std::string& dirname) { std::string model_filename = dirname + "/__model__"; std::string program_desc_str; VLOG(3) << "loading model from " << model_filename; ReadBinaryFile(model_filename, program_desc_str); std::unique_ptr main_program( new framework::ProgramDesc(program_desc_str)); LoadPersistables(executor, scope, *main_program, dirname, ""); return main_program; } std::unique_ptr Load( framework::Executor& executor, framework::Scope& scope, const std::string& prog_filename, const std::string& param_filename) { std::string model_filename = prog_filename; std::string program_desc_str; ReadBinaryFile(model_filename, program_desc_str); std::unique_ptr main_program( new framework::ProgramDesc(program_desc_str)); LoadPersistables(executor, scope, *main_program, "", param_filename); return main_program; } } // namespace inference } // namespace paddle