86 lines
2.6 KiB
Python
86 lines
2.6 KiB
Python
# python3
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# Copyright 2019 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Main driver for benchmarks."""
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import copy
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import statistics
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import threading
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import types
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from benchmarks import suites
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from benchmarks.harness.machine_producers import machine_producer
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# pylint: disable=too-many-instance-attributes
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class BenchmarkDriver:
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"""Allocates machines and invokes a benchmark method."""
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def __init__(self,
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producer: machine_producer.MachineProducer,
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method: types.FunctionType,
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runs: int = 1,
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**kwargs):
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self._producer = producer
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self._method = method
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self._kwargs = copy.deepcopy(kwargs)
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self._threads = []
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self.lock = threading.RLock()
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self._runs = runs
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self._metric_results = {}
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def start(self):
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"""Starts a benchmark thread."""
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for _ in range(self._runs):
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thread = threading.Thread(target=self._run_method)
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thread.start()
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self._threads.append(thread)
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def join(self):
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"""Joins the thread."""
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# pylint: disable=expression-not-assigned
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[t.join() for t in self._threads]
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def _run_method(self):
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"""Runs all benchmarks."""
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machines = self._producer.get_machines(
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suites.benchmark_machines(self._method))
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try:
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result = self._method(*machines, **self._kwargs)
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for name, res in result:
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with self.lock:
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if name in self._metric_results:
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self._metric_results[name].append(res)
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else:
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self._metric_results[name] = [res]
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finally:
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# Always release.
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self._producer.release_machines(machines)
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def median(self):
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"""Returns the median result, after join is finished."""
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for key, value in self._metric_results.items():
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yield key, [statistics.median(value)]
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def all(self):
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"""Returns all results."""
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for key, value in self._metric_results.items():
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yield key, value
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def meanstd(self):
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"""Returns all results."""
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for key, value in self._metric_results.items():
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mean = statistics.mean(value)
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yield key, [mean, statistics.stdev(value, xbar=mean)]
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