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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())
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