/* 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 #include #include "paddle/fluid/framework/ir/graph.h" #include "paddle/fluid/framework/op_proto_maker.h" #include "paddle/fluid/framework/program_desc.h" #include "paddle/fluid/framework/var_desc.h" namespace paddle { namespace framework { namespace ir { Graph::Graph(const ProgramDesc &program) : program_(program) { VLOG(3) << "block in program:" << program_.Size(); std::unordered_map all_vars; for (auto *var : program.Block(0).AllVars()) { all_vars.emplace(var->Name(), var); } std::map> var_nodes; for (auto *op : program.Block(0).AllOps()) { ir::Node *node = CreateOpNode(op); // For input args, reuse the same var name if it was created before. // Otherwise, create a new one. for (auto &each_var_name : op->InputArgumentNames()) { ir::Node *var = nullptr; if (var_nodes.find(each_var_name) != var_nodes.end()) { var = var_nodes.at(each_var_name).back(); } else if (all_vars.count(each_var_name) != 0) { var = CreateVarNode(all_vars.at(each_var_name)); var_nodes[each_var_name].push_back(var); } else { // Operation input var can be optional (dispensable). Which means // the operation doesn't really need the var at runtime. In this // case, the no-existed var is ready at the beginning. var = CreateEmptyNode(each_var_name, ir::Node::Type::kVariable); var_nodes[each_var_name].push_back(var); } node->inputs.push_back(var); var->outputs.push_back(node); } // For output args, always create a new var. for (auto &each_var_name : op->OutputArgumentNames()) { ir::Node *var = CreateVarNode(all_vars.at(each_var_name)); var_nodes[each_var_name].push_back(var); node->outputs.push_back(var); var->inputs.push_back(node); } } /** * We only handle write after read(WAR), since it should not have a write * after write in program. If there are write after write operators, we need * prune them. * * https://en.wikipedia.org/wiki/Hazard_(computer_architecture)#Write_after_read_(WAR) */ for (auto &var : var_nodes) { auto &versions = var.second; if (versions.size() <= 1) continue; auto it_new = versions.rbegin(); auto it_old = versions.rbegin(); ++it_old; for (; it_old != versions.rend(); it_new = it_old, ++it_old) { ir::Node *write_op = (*it_new)->inputs.empty() ? nullptr : (*it_new)->inputs[0]; const auto &read_ops = (*it_old)->outputs; for (auto *read_op : read_ops) { // Manually add a dependency var from read_op to write_op; if (read_op == write_op) { // Read Write is the same op. continue; } // 2 ops might have been connected via other vars. bool has_dep = false; for (ir::Node *r_out : read_op->outputs) { for (ir::Node *w_in : write_op->inputs) { if (r_out == w_in) { has_dep = true; break; } } } if (has_dep) continue; ir::Node *dep_var = CreateControlDepVar(); read_op->outputs.push_back(dep_var); dep_var->inputs.push_back(read_op); write_op->inputs.push_back(dep_var); dep_var->outputs.push_back(write_op); } } } } } // namespace ir } // namespace framework } // namespace paddle