Files
pytorch/torch/csrc/monitor/counters.cpp
Karhou Tam 39df24fe04 [Code Clean] Replace std::runtime_error with TORCH_CHECK (#163610)
Including:
- `torch/csrc/instruction_counter`
- `torch/csrc/lazy`
- `torch/csrc/monitor`
- `torch/csrc/profiler`
- `torch/csrc/dynamo`

Fixes part of #148114

Personal mistake about (PR #163317), this PR does the same thing **and PR #163317 has already been approved by @albanD.**

This is a personal mistake on my part, and I'm so sorry about that. Hope you won't mind @albanD. 🥹

Pull Request resolved: https://github.com/pytorch/pytorch/pull/163610
Approved by: https://github.com/albanD, https://github.com/Skylion007
2025-09-26 04:52:48 +00:00

70 lines
1.4 KiB
C++

#include <c10/util/Exception.h>
#include <torch/csrc/monitor/counters.h>
#include <unordered_set>
namespace torch::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:
TORCH_CHECK(
false,
"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 torch::monitor