I am done

rl/Lib/site-packages/torch/monitor/__init__.py

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+from torch._C._monitor import *  # noqa: F403
+from typing import TYPE_CHECKING
+
+from torch._C._monitor import _WaitCounter  # type: ignore[attr-defined]
+
+if TYPE_CHECKING:
+    from torch.utils.tensorboard import SummaryWriter
+
+
+STAT_EVENT = "torch.monitor.Stat"
+
+
+class TensorboardEventHandler:
+    """
+    TensorboardEventHandler is an event handler that will write known events to
+    the provided SummaryWriter.
+
+    This currently only supports ``torch.monitor.Stat`` events which are logged
+    as scalars.
+
+    Example:
+        >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_MONITOR)
+        >>> # xdoctest: +REQUIRES(module:tensorboard)
+        >>> from torch.utils.tensorboard import SummaryWriter
+        >>> from torch.monitor import TensorboardEventHandler, register_event_handler
+        >>> writer = SummaryWriter("log_dir")
+        >>> register_event_handler(TensorboardEventHandler(writer))
+    """
+    def __init__(self, writer: "SummaryWriter") -> None:
+        """
+        Constructs the ``TensorboardEventHandler``.
+        """
+        self._writer = writer
+
+    def __call__(self, event: Event) -> None:
+        if event.name == STAT_EVENT:
+            for k, v in event.data.items():
+                self._writer.add_scalar(k, v, walltime=event.timestamp.timestamp())