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/**
* Unique in this file is adapted from PyTorch/XLA
* https://github.com/pytorch/xla/blob/master/third_party/xla_client/unique.h
*/
#pragma once
#include <optional>
#include <functional>
#include <set>
namespace torch::lazy {
// Helper class to allow tracking zero or more things, which should be forcibly
// be one only thing.
template <typename T, typename C = std::equal_to<T>>
class Unique {
public:
std::pair<bool, const T&> set(const T& value) {
if (value_) {
TORCH_CHECK(C()(*value_, value), "'", *value_, "' vs '", value);
return std::pair<bool, const T&>(false, *value_);
}
value_ = value;
return std::pair<bool, const T&>(true, *value_);
}
operator bool() const {
return value_.has_value();
}
operator const T&() const {
return *value_;
}
const T& operator*() const {
return *value_;
}
const T* operator->() const {
return value_.operator->();
}
std::set<T> AsSet() const {
std::set<T> vset;
if (value_.has_value()) {
vset.insert(*value_);
}
return vset;
}
private:
std::optional<T> value_;
};
} // namespace torch::lazy
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