scope.cc 6.9 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 <queue>
19
#include <set>
20
#include <unordered_set>
21
#include "glog/logging.h"
Y
Yi Wang 已提交
22
#include "paddle/fluid/framework/threadpool.h"
23
#include "paddle/fluid/string/printf.h"
Y
Yi Wang 已提交
24

D
dzhwinter 已提交
25
DEFINE_bool(benchmark, false,
26
            "Doing memory benchmark. It will make deleting scope synchronized, "
D
dzhwinter 已提交
27 28 29
            "and add some memory usage logs."
            "Default cuda is asynchronous device, set to True will"
            "force op run in synchronous mode.");
30

Y
Yu Yang 已提交
31 32 33 34 35
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
36
DEFINE_double(
S
sneaxiy 已提交
37
    eager_delete_tensor_gb, -1.0,
S
sneaxiy 已提交
38 39 40
    "Memory size threshold (GB) when the garbage collector clear tensors."
    "Disabled when this value is less than 0");

S
sneaxiy 已提交
41
DEFINE_bool(fast_eager_deletion_mode, false,
S
fix bug  
sneaxiy 已提交
42 43 44
            "Fast eager deletion mode. If enabled, memory would release "
            "immediately without waiting GPU kernel ends.");

45 46 47 48
// When in inference scenario, the scopes will not be written by two threads in
// a mean time, but a scope may be read by multiple threads concurrently, and
// the mutex will cause serious performance issue.
// So the mutex is disabled when `ON_INFER`.
49
#ifdef PADDLE_ON_INFERENCE
50 51 52 53 54
#define SCOPE_LOCK_GUARD
#else
#define SCOPE_LOCK_GUARD std::lock_guard<std::mutex> lock(mutex_);
#endif

Y
Yi Wang 已提交
55 56 57
namespace paddle {
namespace framework {

S
sneaxiy 已提交
58
int64_t GetEagerDeletionThreshold() {
S
sneaxiy 已提交
59
  return FLAGS_eager_delete_tensor_gb < 0
S
sneaxiy 已提交
60
             ? -1
S
sneaxiy 已提交
61
             : static_cast<int64_t>(FLAGS_eager_delete_tensor_gb *
S
sneaxiy 已提交
62 63 64
                                    (static_cast<int64_t>(1) << 30));
}

S
fix bug  
sneaxiy 已提交
65 66
bool IsFastEagerDeletionModeEnabled() { return FLAGS_fast_eager_deletion_mode; }

67
Scope::~Scope() { DropKids(); }
Y
Yi Wang 已提交
68

Y
Yu Yang 已提交
69
Scope& Scope::NewScope() const {
70
  SCOPE_LOCK_GUARD
Y
Yi Wang 已提交
71 72 73 74
  kids_.push_back(new Scope(this));
  return *kids_.back();
}

D
dongzhihong 已提交
75
Variable* Scope::Var(const std::string& name) {
76
  SCOPE_LOCK_GUARD
T
tensor-tang 已提交
77
  return VarInternal(name);
Y
Yi Wang 已提交
78 79
}

Y
Yu Yang 已提交
80
Variable* Scope::Var(std::string* name) {
81
  SCOPE_LOCK_GUARD
T
tensor-tang 已提交
82
  auto new_name = string::Sprintf("%p.%d", this, vars_.size());
Y
Yu Yang 已提交
83
  if (name != nullptr) {
T
tensor-tang 已提交
84
    *name = new_name;
Y
Yu Yang 已提交
85
  }
T
tensor-tang 已提交
86
  return VarInternal(new_name);
Y
Yi Wang 已提交
87 88 89
}

Variable* Scope::FindVar(const std::string& name) const {
90
  SCOPE_LOCK_GUARD
T
tensor-tang 已提交
91 92 93
  return FindVarInternal(name);
}

S
sneaxiy 已提交
94
Variable* Scope::FindLocalVar(const std::string& name) const {
95
  SCOPE_LOCK_GUARD
S
sneaxiy 已提交
96 97 98
  return FindVarLocally(name);
}

Y
Yu Yang 已提交
99
const Scope* Scope::FindScope(const Variable* var) const {
100
  SCOPE_LOCK_GUARD
T
tensor-tang 已提交
101
  return FindScopeInternal(var);
Y
Yi Wang 已提交
102
}
T
tensor-tang 已提交
103

Y
Yu Yang 已提交
104
void Scope::DropKids() {
105
  SCOPE_LOCK_GUARD
Y
Yu Yang 已提交
106 107 108
  for (Scope* s : kids_) delete s;
  kids_.clear();
}
Y
Yi Wang 已提交
109

M
minqiyang 已提交
110
bool Scope::HasKid(const Scope* scope) const {
111
  SCOPE_LOCK_GUARD
M
minqiyang 已提交
112 113 114 115
  auto it = std::find(this->kids_.begin(), this->kids_.end(), scope);
  return it != this->kids_.end();
}

Y
Yang Yu 已提交
116
std::vector<std::string> Scope::LocalVarNames() const {
117
  SCOPE_LOCK_GUARD
Y
Yang Yu 已提交
118 119
  std::vector<std::string> known_vars;
  known_vars.reserve(this->vars_.size());
120 121 122 123 124 125
  for (auto& p : vars_) {
    known_vars.emplace_back(p.first);
  }
  return known_vars;
}

126
void Scope::DeleteScope(Scope* scope) const {
127
  SCOPE_LOCK_GUARD
Y
Yu Yang 已提交
128
  auto it = std::find(this->kids_.begin(), this->kids_.end(), scope);
129 130
  PADDLE_ENFORCE(it != this->kids_.end(), "%p Cannot find %p as kid scope",
                 this, scope);
Y
Yu Yang 已提交
131
  this->kids_.erase(it);
132
  // When making memory benchmark on Fluid, we have to delete scope sync.
Y
Yu Yang 已提交
133
  if (FLAGS_benchmark || FLAGS_eager_delete_scope) {
134 135 136 137
    delete scope;
  } else {
    Async([scope] { delete scope; });
  }
Y
Yu Yang 已提交
138 139
}

Y
Yancey1989 已提交
140
void Scope::EraseVars(const std::vector<std::string>& var_names) {
141
  SCOPE_LOCK_GUARD
142 143 144 145 146 147 148 149 150 151
  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
152 153
void Scope::Rename(const std::string& origin_name,
                   const std::string& new_name) const {
154
  SCOPE_LOCK_GUARD
T
tensor-tang 已提交
155 156 157 158
  RenameInternal(origin_name, new_name);
}

std::string Scope::Rename(const std::string& origin_name) const {
159
  SCOPE_LOCK_GUARD
T
tensor-tang 已提交
160 161 162 163 164 165 166 167 168
  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();
S
sneaxiy 已提交
169
  vars_.emplace(name, std::unique_ptr<Variable>(v));
M
minqiyang 已提交
170
  VLOG(3) << "Create variable " << name;
T
tensor-tang 已提交
171 172 173 174 175 176 177 178 179 180 181 182 183 184
  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
185 186 187 188 189 190
  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);
191
  vars_[new_name].reset(origin_it->second.release());
Y
Yu Yang 已提交
192 193 194
  vars_.erase(origin_it);
}

T
tensor-tang 已提交
195 196 197 198 199 200
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
201
}
202

203 204
Variable* Scope::FindVarLocally(const std::string& name) const {
  auto it = vars_.find(name);
205
  if (it != vars_.end()) return it->second.get();
206 207
  return nullptr;
}
Y
Yu Yang 已提交
208

209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249
std::string GenScopeTreeDebugInfo(Scope* root) {
  std::stringstream os;

  if (!root) return "";

  // level traversal
  std::queue<Scope*> queue;
  queue.push(root);

  std::vector<Scope*> scopes;

  while (!queue.empty()) {
    auto* end = queue.back();
    Scope* q = nullptr;
    while (q != end) {
      q = queue.front();
      queue.pop();
      os << q << " ";
      scopes.push_back(q);

      for (auto* c : q->kids()) {
        queue.push(c);
      }
    }
    // end of a level
    os << "\n------------------------------------------\n";
  }

  os << "\nDetails:\n\n";

  for (Scope* q : scopes) {
    os << "====\n";
    os << q << ":\n";
    for (auto& var : q->LocalVarNames()) {
      os << "  - " << var << "\n";
    }
  }

  return os.str();
}

Y
Yi Wang 已提交
250 251
}  // namespace framework
}  // namespace paddle