forked from pytorch/pytorch
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathcounters.cpp
70 lines (58 loc) · 1.46 KB
/
counters.cpp
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
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
#include <torch/csrc/monitor/counters.h>
#include <torch/csrc/monitor/events.h>
#include <sstream>
#include <unordered_set>
namespace torch {
namespace monitor {
const char* aggregationName(Aggregation agg) {
switch (agg) {
case Aggregation::NONE:
return "none";
case Aggregation::VALUE:
return "value";
case Aggregation::MEAN:
return "mean";
case Aggregation::COUNT:
return "count";
case Aggregation::SUM:
return "sum";
case Aggregation::MAX:
return "max";
case Aggregation::MIN:
return "min";
default:
throw std::runtime_error(
"unknown aggregation: " + std::to_string(static_cast<int>(agg)));
}
}
namespace {
struct Stats {
std::mutex mu;
std::unordered_set<Stat<double>*> doubles;
std::unordered_set<Stat<int64_t>*> int64s;
};
Stats& stats() {
static Stats stats;
return stats;
}
} // namespace
namespace detail {
void registerStat(Stat<double>* stat) {
std::lock_guard<std::mutex> guard(stats().mu);
stats().doubles.insert(stat);
}
void registerStat(Stat<int64_t>* stat) {
std::lock_guard<std::mutex> guard(stats().mu);
stats().int64s.insert(stat);
}
void unregisterStat(Stat<double>* stat) {
std::lock_guard<std::mutex> guard(stats().mu);
stats().doubles.erase(stat);
}
void unregisterStat(Stat<int64_t>* stat) {
std::lock_guard<std::mutex> guard(stats().mu);
stats().int64s.erase(stat);
}
} // namespace detail
} // namespace monitor
} // namespace torch