graph.cc 5.5 KB
Newer Older
X
Xin Pan 已提交
1
/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
X
start  
Xin Pan 已提交
2 3 4 5 6 7 8 9 10 11 12 13 14

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. */

X
Xin Pan 已提交
15 16 17
#include <algorithm>
#include <unordered_set>

X
start  
Xin Pan 已提交
18
#include "paddle/fluid/framework/ir/graph.h"
X
Xin Pan 已提交
19
#include "paddle/fluid/framework/op_proto_maker.h"
20 21
#include "paddle/fluid/framework/program_desc.h"
#include "paddle/fluid/framework/var_desc.h"
X
start  
Xin Pan 已提交
22 23

namespace paddle {
X
Xin Pan 已提交
24
namespace framework {
X
Xin Pan 已提交
25
namespace ir {
X
Xin Pan 已提交
26

X
clean  
Xin Pan 已提交
27
Graph::Graph(const ProgramDesc &program) : program_(program) {
28 29
  // Make the nodes id start from 0.
  Node::ResetId();
30 31 32
  auto var_nodes = InitFromProgram(program_);
  ResolveHazard(var_nodes);
}
33

34 35
std::map<std::string, std::vector<ir::Node *>> Graph::InitFromProgram(
    const ProgramDesc &program) {
Q
qiaolongfei 已提交
36
  VLOG(3) << "block in program:" << program_.Size();
37
  std::unordered_map<std::string, VarDesc *> all_vars;
38 39
  // var nodes for each var name, will have multiple versions in SSA
  std::map<std::string, std::vector<ir::Node *>> var_nodes;
40 41 42 43 44
  for (auto *var : program.Block(0).AllVars()) {
    all_vars.emplace(var->Name(), var);
  }

  for (auto *op : program.Block(0).AllOps()) {
X
clean  
Xin Pan 已提交
45
    ir::Node *node = CreateOpNode(op);
X
Xin Pan 已提交
46 47
    // For input args, reuse the same var name if it was created before.
    // Otherwise, create a new one.
48 49
    for (auto &each_var_name : op->InputArgumentNames()) {
      ir::Node *var = nullptr;
X
Xin Pan 已提交
50
      if (var_nodes.find(each_var_name) != var_nodes.end()) {
X
Xin Pan 已提交
51
        var = var_nodes.at(each_var_name).back();
X
Xin Pan 已提交
52
      } else if (all_vars.count(each_var_name) != 0) {
X
clean  
Xin Pan 已提交
53
        var = CreateVarNode(all_vars.at(each_var_name));
X
Xin Pan 已提交
54
        var_nodes[each_var_name].push_back(var);
55
      } else {
X
Xin Pan 已提交
56 57 58
        // 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.
X
polish  
Xin Pan 已提交
59
        var = CreateEmptyNode(each_var_name, ir::Node::Type::kVariable);
X
Xin Pan 已提交
60
        var_nodes[each_var_name].push_back(var);
61 62 63 64
      }
      node->inputs.push_back(var);
      var->outputs.push_back(node);
    }
X
Xin Pan 已提交
65
    // For output args, always create a new var.
66
    for (auto &each_var_name : op->OutputArgumentNames()) {
X
Xin Pan 已提交
67 68 69 70 71 72 73 74 75
      ir::Node *var = nullptr;
      if (all_vars.count(each_var_name) != 0) {
        var = CreateVarNode(all_vars.at(each_var_name));
      } else {
        // Operation output vars can be @EMPTY@. For example, while_grad
        // can have multi @EMPTY@ outputs with no VarDesc.
        // TODO(panyx0718): Add a test.
        var = CreateEmptyNode(each_var_name, ir::Node::Type::kVariable);
      }
X
Xin Pan 已提交
76
      var_nodes[each_var_name].push_back(var);
77 78 79 80
      node->outputs.push_back(var);
      var->inputs.push_back(node);
    }
  }
81 82
  return std::move(var_nodes);
}
X
Xin Pan 已提交
83

84 85
void Graph::ResolveHazard(
    const std::map<std::string, std::vector<ir::Node *>> &var_nodes) {
X
polish  
Xin Pan 已提交
86
  /**
87 88 89 90 91
   * We should handle write after read(WAR) and write after write(WAW) here.
   * Because some of the operators of the program can be executed parallelly.
   * So, to make the program running in the right order, we should add the
   * dependence of WAR and WAW.
   *
X
polish  
Xin Pan 已提交
92 93 94
   *
   * https://en.wikipedia.org/wiki/Hazard_(computer_architecture)#Write_after_read_(WAR)
   */
X
Xin Pan 已提交
95

X
Xin Pan 已提交
96 97 98 99 100 101 102 103
  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) {
104
      VLOG(3) << "deal with var: " << (*it_new)->Name();
X
Xin Pan 已提交
105 106 107 108
      ir::Node *write_op =
          (*it_new)->inputs.empty() ? nullptr : (*it_new)->inputs[0];
      const auto &read_ops = (*it_old)->outputs;

109 110 111 112 113
      PADDLE_ENFORCE(write_op, "The write_op should not be empty.");

      // Add write after write dependence
      ir::Node *upstream_op =
          (*it_old)->inputs.empty() ? nullptr : (*it_old)->inputs[0];
X
Xin Pan 已提交
114 115
      // TODO(zcd): Add a test.
      if (upstream_op && upstream_op != write_op) {
116 117 118 119 120 121 122
        ir::Node *dep_var = CreateControlDepVar();
        write_op->inputs.push_back(dep_var);
        upstream_op->outputs.push_back(dep_var);
        dep_var->outputs.push_back(write_op);
        dep_var->inputs.push_back(upstream_op);
      }

X
Xin Pan 已提交
123 124 125 126 127 128
      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;
        }
X
Xin Pan 已提交
129 130 131 132 133 134 135 136 137 138 139
        // 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;
X
Xin Pan 已提交
140

X
Xin Pan 已提交
141
        ir::Node *dep_var = CreateControlDepVar();
X
Xin Pan 已提交
142 143 144 145 146 147 148
        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);
      }
    }
  }
X
better  
Xin Pan 已提交
149
}
X
Xin Pan 已提交
150 151 152 153

bool IsControlDepVar(const ir::Node &var) {
  return var.Name().find(ir::Node::kControlDepVarName) != std::string::npos;
}
X
Xin Pan 已提交
154
}  // namespace ir
X
Xin Pan 已提交
155
}  // namespace framework
X
start  
Xin Pan 已提交
156
}  // namespace paddle