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venv/Lib/site-packages/torch/distributed/elastic/metrics/api.py
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venv/Lib/site-packages/torch/distributed/elastic/metrics/api.py
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#!/usr/bin/env python3
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# mypy: allow-untyped-defs
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# Copyright (c) Facebook, Inc. and its affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the BSD-style license found in the
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# LICENSE file in the root directory of this source tree.
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import abc
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import time
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from collections import namedtuple
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from functools import wraps
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from typing import Optional
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from typing_extensions import deprecated
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__all__ = [
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"MetricsConfig",
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"MetricHandler",
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"ConsoleMetricHandler",
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"NullMetricHandler",
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"MetricStream",
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"configure",
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"getStream",
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"prof",
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"profile",
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"put_metric",
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"publish_metric",
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"get_elapsed_time_ms",
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"MetricData",
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]
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MetricData = namedtuple("MetricData", ["timestamp", "group_name", "name", "value"])
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class MetricsConfig:
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__slots__ = ["params"]
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def __init__(self, params: Optional[dict[str, str]] = None):
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self.params = params
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if self.params is None:
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self.params = {}
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class MetricHandler(abc.ABC):
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@abc.abstractmethod
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def emit(self, metric_data: MetricData):
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pass
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class ConsoleMetricHandler(MetricHandler):
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def emit(self, metric_data: MetricData):
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print(
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f"[{metric_data.timestamp}][{metric_data.group_name}]: {metric_data.name}={metric_data.value}"
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)
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class NullMetricHandler(MetricHandler):
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def emit(self, metric_data: MetricData):
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pass
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class MetricStream:
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def __init__(self, group_name: str, handler: MetricHandler):
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self.group_name = group_name
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self.handler = handler
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def add_value(self, metric_name: str, metric_value: int):
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self.handler.emit(
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MetricData(time.time(), self.group_name, metric_name, metric_value)
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)
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_metrics_map: dict[str, MetricHandler] = {}
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_default_metrics_handler: MetricHandler = NullMetricHandler()
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# pyre-fixme[9]: group has type `str`; used as `None`.
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def configure(handler: MetricHandler, group: Optional[str] = None):
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if group is None:
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global _default_metrics_handler
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# pyre-fixme[9]: _default_metrics_handler has type `NullMetricHandler`; used
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# as `MetricHandler`.
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_default_metrics_handler = handler
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else:
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_metrics_map[group] = handler
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def getStream(group: str):
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if group in _metrics_map:
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handler = _metrics_map[group]
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else:
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handler = _default_metrics_handler
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return MetricStream(group, handler)
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def _get_metric_name(fn):
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qualname = fn.__qualname__
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split = qualname.split(".")
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if len(split) == 1:
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module = fn.__module__
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if module:
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return module.split(".")[-1] + "." + split[0]
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else:
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return split[0]
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else:
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return qualname
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def prof(fn=None, group: str = "torchelastic"):
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r"""
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@profile decorator publishes duration.ms, count, success, failure metrics for the function that it decorates.
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The metric name defaults to the qualified name (``class_name.def_name``) of the function.
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If the function does not belong to a class, it uses the leaf module name instead.
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Usage
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::
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@metrics.prof
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def x():
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pass
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@metrics.prof(group="agent")
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def y():
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pass
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"""
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def wrap(f):
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@wraps(f)
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def wrapper(*args, **kwargs):
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key = _get_metric_name(f)
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try:
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start = time.time()
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result = f(*args, **kwargs)
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put_metric(f"{key}.success", 1, group)
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except Exception:
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put_metric(f"{key}.failure", 1, group)
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raise
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finally:
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put_metric(f"{key}.duration.ms", get_elapsed_time_ms(start), group) # type: ignore[possibly-undefined]
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return result
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return wrapper
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if fn:
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return wrap(fn)
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else:
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return wrap
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@deprecated("Deprecated, use `@prof` instead", category=FutureWarning)
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def profile(group=None):
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"""
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@profile decorator adds latency and success/failure metrics to any given function.
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Usage
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::
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@metrics.profile("my_metric_group")
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def some_function(<arguments>):
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"""
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def wrap(func):
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@wraps(func)
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def wrapper(*args, **kwargs):
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try:
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start_time = time.time()
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result = func(*args, **kwargs)
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publish_metric(group, f"{func.__name__}.success", 1)
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except Exception:
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publish_metric(group, f"{func.__name__}.failure", 1)
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raise
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finally:
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publish_metric(
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group,
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f"{func.__name__}.duration.ms",
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get_elapsed_time_ms(start_time), # type: ignore[possibly-undefined]
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)
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return result
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return wrapper
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return wrap
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def put_metric(metric_name: str, metric_value: int, metric_group: str = "torchelastic"):
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"""
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Publish a metric data point.
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Usage
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::
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put_metric("metric_name", 1)
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put_metric("metric_name", 1, "metric_group_name")
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"""
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getStream(metric_group).add_value(metric_name, metric_value)
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@deprecated(
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"Deprecated, use `put_metric(metric_group)(metric_name, metric_value)` instead",
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category=FutureWarning,
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)
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def publish_metric(metric_group: str, metric_name: str, metric_value: int):
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metric_stream = getStream(metric_group)
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metric_stream.add_value(metric_name, metric_value)
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def get_elapsed_time_ms(start_time_in_seconds: float):
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"""Return the elapsed time in millis from the given start time."""
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end_time = time.time()
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return int((end_time - start_time_in_seconds) * 1000)
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