scope.cc 5.3 KB
Newer Older
1
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
Y
Yi Wang 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. */

Y
Yi Wang 已提交
15
#include "paddle/fluid/framework/scope.h"
Y
Yang Yang 已提交
16

Q
qijun 已提交
17
#include <memory>  // for unique_ptr
18
#include <set>
19
#include "glog/logging.h"
Y
Yi Wang 已提交
20
#include "paddle/fluid/framework/threadpool.h"
21
#include "paddle/fluid/string/printf.h"
Y
Yi Wang 已提交
22

D
dzhwinter 已提交
23
DEFINE_bool(benchmark, false,
24
            "Doing memory benchmark. It will make deleting scope synchronized, "
D
dzhwinter 已提交
25 26 27
            "and add some memory usage logs."
            "Default cuda is asynchronous device, set to True will"
            "force op run in synchronous mode.");
28

Y
Yu Yang 已提交
29 30 31 32 33
DEFINE_bool(
    eager_delete_scope, true,
    "Delete local scope eagerly. It will reduce GPU memory usage but "
    "slow down the destruction of variables.(around 1% performance harm)");

Y
Yi Wang 已提交
34 35 36
namespace paddle {
namespace framework {

37
Scope::~Scope() { DropKids(); }
Y
Yi Wang 已提交
38

Y
Yu Yang 已提交
39
Scope& Scope::NewScope() const {
Y
Yancey1989 已提交
40
  std::unique_lock<std::mutex> lock(mutex_);
M
minqiyang 已提交
41 42
  kids_.push_back(std::shared_ptr<Scope>(new Scope(this)));
  return kids_.back().get();
Y
Yi Wang 已提交
43 44
}

D
dongzhihong 已提交
45
Variable* Scope::Var(const std::string& name) {
46
  std::unique_lock<std::mutex> lock(mutex_);
T
tensor-tang 已提交
47
  return VarInternal(name);
Y
Yi Wang 已提交
48 49
}

Y
Yu Yang 已提交
50
Variable* Scope::Var(std::string* name) {
T
tensor-tang 已提交
51 52
  std::unique_lock<std::mutex> lock(mutex_);
  auto new_name = string::Sprintf("%p.%d", this, vars_.size());
Y
Yu Yang 已提交
53
  if (name != nullptr) {
T
tensor-tang 已提交
54
    *name = new_name;
Y
Yu Yang 已提交
55
  }
T
tensor-tang 已提交
56
  return VarInternal(new_name);
Y
Yi Wang 已提交
57 58 59
}

Variable* Scope::FindVar(const std::string& name) const {
T
tensor-tang 已提交
60 61 62 63
  std::unique_lock<std::mutex> lock(mutex_);
  return FindVarInternal(name);
}

Y
Yu Yang 已提交
64
const Scope* Scope::FindScope(const Variable* var) const {
T
tensor-tang 已提交
65
  std::unique_lock<std::mutex> lock(mutex_);
T
tensor-tang 已提交
66
  return FindScopeInternal(var);
Y
Yi Wang 已提交
67
}
T
tensor-tang 已提交
68

Y
Yu Yang 已提交
69
void Scope::DropKids() {
70
  std::unique_lock<std::mutex> lock(mutex_);
Y
Yu Yang 已提交
71 72
  kids_.clear();
}
Y
Yi Wang 已提交
73

Y
Yang Yu 已提交
74
std::vector<std::string> Scope::LocalVarNames() const {
T
tensor-tang 已提交
75
  std::unique_lock<std::mutex> lock(mutex_);
Y
Yang Yu 已提交
76 77
  std::vector<std::string> known_vars;
  known_vars.reserve(this->vars_.size());
78 79 80 81 82 83
  for (auto& p : vars_) {
    known_vars.emplace_back(p.first);
  }
  return known_vars;
}

84
void Scope::DeleteScope(Scope* scope) const {
Y
Yancey1989 已提交
85
  std::unique_lock<std::mutex> lock(mutex_);
M
minqiyang 已提交
86 87 88 89
  auto it = std::find_if(this->kids_.begin(), this->kids_.end(),
                         [&scope](const std::shared_ptr<Scope>& kid) {
                           return kid.get() == scope;
                         });
Y
Yu Yang 已提交
90
  PADDLE_ENFORCE(it != this->kids_.end(), "Cannot find %p as kid scope", scope);
M
minqiyang 已提交
91
  it->reset();
Y
Yu Yang 已提交
92
  this->kids_.erase(it);
93
  // When making memory benchmark on Fluid, we have to delete scope sync.
Y
Yu Yang 已提交
94
  if (FLAGS_benchmark || FLAGS_eager_delete_scope) {
95 96 97 98
    delete scope;
  } else {
    Async([scope] { delete scope; });
  }
Y
Yu Yang 已提交
99 100
}

Y
Yancey1989 已提交
101
void Scope::EraseVars(const std::vector<std::string>& var_names) {
102
  std::unique_lock<std::mutex> lock(mutex_);
103 104 105 106 107 108 109 110 111 112
  std::set<std::string> var_set(var_names.begin(), var_names.end());
  for (auto it = vars_.begin(); it != vars_.end();) {
    if (var_set.find(it->first) != var_set.end()) {
      it = vars_.erase(it);
    } else {
      ++it;
    }
  }
}

Y
Yu Yang 已提交
113 114
void Scope::Rename(const std::string& origin_name,
                   const std::string& new_name) const {
T
tensor-tang 已提交
115
  std::unique_lock<std::mutex> lock(mutex_);
T
tensor-tang 已提交
116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147
  RenameInternal(origin_name, new_name);
}

std::string Scope::Rename(const std::string& origin_name) const {
  std::unique_lock<std::mutex> lock(mutex_);
  auto new_name = string::Sprintf("%p.%d", this, vars_.size());
  RenameInternal(origin_name, new_name);
  return new_name;
}

Variable* Scope::VarInternal(const std::string& name) {
  auto* v = FindVarLocally(name);
  if (v != nullptr) return v;

  v = new Variable();
  vars_[name].reset(v);
  VLOG(3) << "Create variable " << name;
  v->name_ = &(vars_.find(name)->first);
  return v;
}

const Scope* Scope::FindScopeInternal(const Variable* var) const {
  for (auto& kv : vars_) {
    if (kv.second.get() == var) {
      return this;
    }
  }
  return (parent_ == nullptr) ? nullptr : parent_->FindScope(var);
}

void Scope::RenameInternal(const std::string& origin_name,
                           const std::string& new_name) const {
Y
Yu Yang 已提交
148 149 150 151 152 153
  auto origin_it = vars_.find(origin_name);
  PADDLE_ENFORCE(origin_it != vars_.end(),
                 "Cannot find original variable with name %s", origin_name);
  auto new_it = vars_.find(new_name);
  PADDLE_ENFORCE(new_it == vars_.end(),
                 "The variable with name %s is already in the scope", new_name);
154
  vars_[new_name].reset(origin_it->second.release());
Y
Yu Yang 已提交
155 156 157
  vars_.erase(origin_it);
}

T
tensor-tang 已提交
158 159 160 161 162 163
Variable* Scope::FindVarInternal(const std::string& name) const {
  auto var = FindVarLocally(name);
  if (var != nullptr) {
    return var;
  }
  return (parent_ == nullptr) ? nullptr : parent_->FindVar(name);
Y
Yu Yang 已提交
164
}
165

166 167
Variable* Scope::FindVarLocally(const std::string& name) const {
  auto it = vars_.find(name);
168
  if (it != vars_.end()) return it->second.get();
169 170
  return nullptr;
}
Y
Yu Yang 已提交
171

Y
Yi Wang 已提交
172 173
}  // namespace framework
}  // namespace paddle