mirror of
https://github.com/vale981/ray
synced 2025-03-06 10:31:39 -05:00
60d4d5e1aa
* Remove all __future__ imports from RLlib. * Remove (object) again from tf_run_builder.py::TFRunBuilder. * Fix 2xLINT warnings. * Fix broken appo_policy import (must be appo_tf_policy) * Remove future imports from all other ray files (not just RLlib). * Remove future imports from all other ray files (not just RLlib). * Remove future import blocks that contain `unicode_literals` as well. Revert appo_tf_policy.py to appo_policy.py (belongs to another PR). * Add two empty lines before Schedule class. * Put back __future__ imports into determine_tests_to_run.py. Fails otherwise on a py2/print related error.
59 lines
1.6 KiB
Python
59 lines
1.6 KiB
Python
import numpy as np
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import time
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class TimerStat:
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"""A running stat for conveniently logging the duration of a code block.
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Example:
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wait_timer = TimerStat()
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with wait_timer:
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ray.wait(...)
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Note that this class is *not* thread-safe.
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"""
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def __init__(self, window_size=10):
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self._window_size = window_size
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self._samples = []
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self._units_processed = []
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self._start_time = None
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self._total_time = 0.0
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self.count = 0
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def __enter__(self):
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assert self._start_time is None, "concurrent updates not supported"
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self._start_time = time.time()
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def __exit__(self, type, value, tb):
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assert self._start_time is not None
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time_delta = time.time() - self._start_time
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self.push(time_delta)
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self._start_time = None
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def push(self, time_delta):
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self._samples.append(time_delta)
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if len(self._samples) > self._window_size:
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self._samples.pop(0)
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self.count += 1
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self._total_time += time_delta
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def push_units_processed(self, n):
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self._units_processed.append(n)
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if len(self._units_processed) > self._window_size:
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self._units_processed.pop(0)
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@property
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def mean(self):
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return np.mean(self._samples)
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@property
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def mean_units_processed(self):
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return float(np.mean(self._units_processed))
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@property
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def mean_throughput(self):
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time_total = sum(self._samples)
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if not time_total:
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return 0.0
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return sum(self._units_processed) / time_total
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