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#ifndef TENSORFLOW_STREAM_EXECUTOR_TIMER_H_
#define TENSORFLOW_STREAM_EXECUTOR_TIMER_H_
#include <memory>
#include "tensorflow/stream_executor/platform/port.h"
namespace perftools {
namespace gputools {
namespace internal {
class TimerInterface;
} // namespace internal
class StreamExecutor;
// An interval timer, suitable for use in timing the operations which occur in
// streams.
//
// Thread-hostile: CUDA associates a CUDA-context with a particular thread in
// the system. Any operation that a user attempts to perform by using a Timer
// on a thread not-associated with the CUDA-context has unknown behavior at the
// current time; see b/13176597
class Timer {
public:
// Instantiate a timer tied to parent as a platform executor.
explicit Timer(StreamExecutor *parent);
// Deallocates any timer resources that the parent StreamExecutor has bestowed
// upon this object.
~Timer();
// Returns the elapsed number of microseconds for a completed timer.
// Completed means has been through a start/stop lifecycle.
uint64 Microseconds() const;
// Returns the elapsed number of nanoseconds for a completed timer.
// Completed means has been through a start/stop lifecycle.
uint64 Nanoseconds() const;
// Returns the (opaque) backing platform ITimer instance. Ownership is
// not transferred to the caller.
internal::TimerInterface *implementation() { return implementation_.get(); }
private:
// Platform-dependent implementation of the timer internals for the underlying
// platform. This class just delegates to this opaque instance.
std::unique_ptr<internal::TimerInterface> implementation_;
// The StreamExecutor that manages the platform-specific internals for this
// timer.
StreamExecutor *parent_;
SE_DISALLOW_COPY_AND_ASSIGN(Timer);
};
} // namespace gputools
} // namespace perftools
#endif // TENSORFLOW_STREAM_EXECUTOR_TIMER_H_
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