scope.cc 5.7 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)");

S
sneaxiy 已提交
34 35 36 37 38
DEFINE_double(
    eager_delete_tensor_GB, -1.0,
    "Memory size threshold (GB) when the garbage collector clear tensors."
    "Disabled when this value is less than 0");

Y
Yi Wang 已提交
39 40 41
namespace paddle {
namespace framework {

S
sneaxiy 已提交
42 43 44 45 46 47 48
int64_t GetEagerDeletionThreshold() {
  return FLAGS_eager_delete_tensor_GB < 0
             ? -1
             : static_cast<int64_t>(FLAGS_eager_delete_tensor_GB *
                                    (static_cast<int64_t>(1) << 30));
}

49
Scope::~Scope() { DropKids(); }
Y
Yi Wang 已提交
50

Y
Yu Yang 已提交
51
Scope& Scope::NewScope() const {
Y
Yancey1989 已提交
52
  std::unique_lock<std::mutex> lock(mutex_);
Y
Yi Wang 已提交
53 54 55 56
  kids_.push_back(new Scope(this));
  return *kids_.back();
}

D
dongzhihong 已提交
57
Variable* Scope::Var(const std::string& name) {
58
  std::unique_lock<std::mutex> lock(mutex_);
T
tensor-tang 已提交
59
  return VarInternal(name);
Y
Yi Wang 已提交
60 61
}

Y
Yu Yang 已提交
62
Variable* Scope::Var(std::string* name) {
T
tensor-tang 已提交
63 64
  std::unique_lock<std::mutex> lock(mutex_);
  auto new_name = string::Sprintf("%p.%d", this, vars_.size());
Y
Yu Yang 已提交
65
  if (name != nullptr) {
T
tensor-tang 已提交
66
    *name = new_name;
Y
Yu Yang 已提交
67
  }
T
tensor-tang 已提交
68
  return VarInternal(new_name);
Y
Yi Wang 已提交
69 70 71
}

Variable* Scope::FindVar(const std::string& name) const {
T
tensor-tang 已提交
72 73 74 75
  std::unique_lock<std::mutex> lock(mutex_);
  return FindVarInternal(name);
}

Y
Yu Yang 已提交
76
const Scope* Scope::FindScope(const Variable* var) const {
T
tensor-tang 已提交
77
  std::unique_lock<std::mutex> lock(mutex_);
T
tensor-tang 已提交
78
  return FindScopeInternal(var);
Y
Yi Wang 已提交
79
}
T
tensor-tang 已提交
80

Y
Yu Yang 已提交
81
void Scope::DropKids() {
82
  std::unique_lock<std::mutex> lock(mutex_);
Y
Yu Yang 已提交
83 84 85
  for (Scope* s : kids_) delete s;
  kids_.clear();
}
Y
Yi Wang 已提交
86

M
minqiyang 已提交
87 88 89 90 91 92
bool Scope::HasKid(const Scope* scope) const {
  std::unique_lock<std::mutex> lock(mutex_);
  auto it = std::find(this->kids_.begin(), this->kids_.end(), scope);
  return it != this->kids_.end();
}

Y
Yang Yu 已提交
93
std::vector<std::string> Scope::LocalVarNames() const {
T
tensor-tang 已提交
94
  std::unique_lock<std::mutex> lock(mutex_);
Y
Yang Yu 已提交
95 96
  std::vector<std::string> known_vars;
  known_vars.reserve(this->vars_.size());
97 98 99 100 101 102
  for (auto& p : vars_) {
    known_vars.emplace_back(p.first);
  }
  return known_vars;
}

103
void Scope::DeleteScope(Scope* scope) const {
Y
Yancey1989 已提交
104
  std::unique_lock<std::mutex> lock(mutex_);
Y
Yu Yang 已提交
105 106 107
  auto it = std::find(this->kids_.begin(), this->kids_.end(), scope);
  PADDLE_ENFORCE(it != this->kids_.end(), "Cannot find %p as kid scope", scope);
  this->kids_.erase(it);
108
  // When making memory benchmark on Fluid, we have to delete scope sync.
Y
Yu Yang 已提交
109
  if (FLAGS_benchmark || FLAGS_eager_delete_scope) {
110 111 112 113
    delete scope;
  } else {
    Async([scope] { delete scope; });
  }
Y
Yu Yang 已提交
114 115
}

Y
Yancey1989 已提交
116
void Scope::EraseVars(const std::vector<std::string>& var_names) {
117
  std::unique_lock<std::mutex> lock(mutex_);
118 119 120 121 122 123 124 125 126 127
  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
128 129
void Scope::Rename(const std::string& origin_name,
                   const std::string& new_name) const {
T
tensor-tang 已提交
130
  std::unique_lock<std::mutex> lock(mutex_);
T
tensor-tang 已提交
131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162
  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
163 164 165 166 167 168
  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);
169
  vars_[new_name].reset(origin_it->second.release());
Y
Yu Yang 已提交
170 171 172
  vars_.erase(origin_it);
}

T
tensor-tang 已提交
173 174 175 176 177 178
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
179
}
180

181 182
Variable* Scope::FindVarLocally(const std::string& name) const {
  auto it = vars_.find(name);
183
  if (it != vars_.end()) return it->second.get();
184 185
  return nullptr;
}
Y
Yu Yang 已提交
186

Y
Yi Wang 已提交
187 188
}  // namespace framework
}  // namespace paddle