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#ifndef TENSORFLOW_STREAM_EXECUTOR_LIB_PTR_UTIL_H_
#define TENSORFLOW_STREAM_EXECUTOR_LIB_PTR_UTIL_H_
namespace perftools {
namespace gputools {
namespace port {
// Trait to select overloads and return types for MakeUnique.
template <typename T>
struct MakeUniqueResult {
using scalar = std::unique_ptr<T>;
};
template <typename T>
struct MakeUniqueResult<T[]> {
using array = std::unique_ptr<T[]>;
};
template <typename T, size_t N>
struct MakeUniqueResult<T[N]> {
using invalid = void;
};
// MakeUnique<T>(...) is an early implementation of C++14 std::make_unique.
// It is designed to be 100% compatible with std::make_unique so that the
// eventual switchover will be a simple renaming operation.
template <typename T, typename... Args>
typename MakeUniqueResult<T>::scalar MakeUnique(Args&&... args) { // NOLINT
return std::unique_ptr<T>(
new T(std::forward<Args>(args)...)); // NOLINT(build/c++11)
}
// Overload for array of unknown bound.
// The allocation of arrays needs to use the array form of new,
// and cannot take element constructor arguments.
template <typename T>
typename MakeUniqueResult<T>::array MakeUnique(size_t n) {
return std::unique_ptr<T>(new typename std::remove_extent<T>::type[n]());
}
// Reject arrays of known bound.
template <typename T, typename... Args>
typename MakeUniqueResult<T>::invalid MakeUnique(Args&&... /* args */) =
delete; // NOLINT
} // namespace port
} // namespace gputools
} // namespace perftools
#endif // TENSORFLOW_STREAM_EXECUTOR_LIB_PTR_UTIL_H_
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