mirror of
https://github.com/babysor/MockingBird.git
synced 2024-03-22 13:11:31 +08:00
45 lines
1.4 KiB
Python
45 lines
1.4 KiB
Python
from time import perf_counter as timer
|
|
from collections import OrderedDict
|
|
import numpy as np
|
|
|
|
|
|
class Profiler:
|
|
def __init__(self, summarize_every=5, disabled=False):
|
|
self.last_tick = timer()
|
|
self.logs = OrderedDict()
|
|
self.summarize_every = summarize_every
|
|
self.disabled = disabled
|
|
|
|
def tick(self, name):
|
|
if self.disabled:
|
|
return
|
|
|
|
# Log the time needed to execute that function
|
|
if not name in self.logs:
|
|
self.logs[name] = []
|
|
if len(self.logs[name]) >= self.summarize_every:
|
|
self.summarize()
|
|
self.purge_logs()
|
|
self.logs[name].append(timer() - self.last_tick)
|
|
|
|
self.reset_timer()
|
|
|
|
def purge_logs(self):
|
|
for name in self.logs:
|
|
self.logs[name].clear()
|
|
|
|
def reset_timer(self):
|
|
self.last_tick = timer()
|
|
|
|
def summarize(self):
|
|
n = max(map(len, self.logs.values()))
|
|
assert n == self.summarize_every
|
|
print("\nAverage execution time over %d steps:" % n)
|
|
|
|
name_msgs = ["%s (%d/%d):" % (name, len(deltas), n) for name, deltas in self.logs.items()]
|
|
pad = max(map(len, name_msgs))
|
|
for name_msg, deltas in zip(name_msgs, self.logs.values()):
|
|
print(" %s mean: %4.0fms std: %4.0fms" %
|
|
(name_msg.ljust(pad), np.mean(deltas) * 1000, np.std(deltas) * 1000))
|
|
print("", flush=True)
|
|
|