File: operator_attaching_net_observer.h

package info (click to toggle)
pytorch 1.7.1-7
  • links: PTS, VCS
  • area: main
  • in suites: bullseye
  • size: 80,340 kB
  • sloc: cpp: 670,830; python: 343,991; ansic: 67,845; asm: 5,503; sh: 2,924; java: 2,888; xml: 266; makefile: 244; ruby: 148; yacc: 144; objc: 51; lex: 44
file content (31 lines) | stat: -rw-r--r-- 907 bytes parent folder | download | duplicates (2)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
#pragma once

#include "caffe2/core/net.h"
#include "caffe2/core/observer.h"
#include "caffe2/core/operator.h"

namespace caffe2 {

// Thin class that attaches the observer to all operators in the net
template <typename TOpObserver, typename TNetObserver>
class OperatorAttachingNetObserver : public ObserverBase<NetBase> {
 public:
  explicit OperatorAttachingNetObserver(
      NetBase* subject_,
      TNetObserver* netObserver)
      : ObserverBase<NetBase>(subject_) {
    const auto& operators = subject_->GetOperators();
    for (auto* op : operators) {
      auto observer = std::make_unique<TOpObserver>(op, netObserver);
      const auto* ob = observer.get();
      op->AttachObserver(std::move(observer));
      operator_observers_.push_back(ob);
    }
  }
  virtual ~OperatorAttachingNetObserver(){};

 protected:
  std::vector<const TOpObserver*> operator_observers_;
};

} // namespace caffe2