torch.monitor
Warning:
This module is a prototype release, and its interfaces and
  functionality may change without warning in future PyTorch releases.
"torch.monitor" provides an interface for logging events and counters
from PyTorch.
The stat interfaces are designed to be used for tracking high level
metrics that are periodically logged out to be used for monitoring
system performance. Since the stats aggregate with a specific window
size you can log to them from critical loops with minimal performance
impact.
For more infrequent events or values such as loss, accuracy, usage
tracking the event interface can be directly used.
Event handlers can be registered to handle the events and pass them to
an external event sink.
API Reference
class torch.monitor.Aggregation
  These are types of aggregations that can be used to accumulate
  stats.

Members:
  VALUE :
     VALUE returns the last value to be added.

  MEAN :
