wehub-resource-sync
70 lines
2.2 KiB
Python
70 lines
2.2 KiB
Python
import collections
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from typing import List
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from ray.util.annotations import Deprecated
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from ray.util.timer import _Timer
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@Deprecated
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class MetricsContext:
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"""Metrics context object for a local iterator.
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This object is accessible by all operators of a local iterator. It can be
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used to store and retrieve global execution metrics for the iterator.
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It can be accessed by calling LocalIterator.get_metrics(), which is only
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allowable inside iterator functions.
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Attributes:
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counters: dict storing increasing metrics.
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timers: dict storing latency timers.
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info: dict storing misc metric values.
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current_actor: reference to the actor handle that
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produced the current iterator output. This is automatically set
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for gather_async().
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"""
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def __init__(self):
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self.counters = collections.defaultdict(int)
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self.timers = collections.defaultdict(_Timer)
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self.info = {}
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self.current_actor = None
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def save(self):
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"""Return a serializable copy of this context."""
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return {
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"counters": dict(self.counters),
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"info": dict(self.info),
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"timers": None, # TODO(ekl) consider persisting timers too
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}
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def restore(self, values):
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"""Restores state given the output of save()."""
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self.counters.clear()
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self.counters.update(values["counters"])
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self.timers.clear()
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self.info = values["info"]
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@Deprecated
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class SharedMetrics:
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"""Holds an indirect reference to a (shared) metrics context.
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This is used by LocalIterator.union() to point the metrics contexts of
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entirely separate iterator chains to the same underlying context."""
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def __init__(
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self, metrics: MetricsContext = None, parents: List["SharedMetrics"] = None
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):
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self.metrics = metrics or MetricsContext()
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self.parents = parents or []
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self.set(self.metrics)
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def set(self, metrics):
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"""Recursively set self and parents to point to the same metrics."""
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self.metrics = metrics
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for parent in self.parents:
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parent.set(metrics)
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def get(self):
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return self.metrics
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