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from __future__ import print_function
from __future__ import division
import argparse
from enum import Enum
import xml.etree.ElementTree as ET
from collections import OrderedDict
class BenchmarkResult:
"""BenchmarkResult class to hold perf numbers"""
def __init__(self, name, mean_value, mean_lower_bound, mean_upper_bound, \
std_val, std_lower_bound, std_upper_bound):
self.name = name
self.mean_value = mean_value
self.mean_lower_bound = mean_lower_bound
self.mean_upper_bound = mean_upper_bound
self.std_val = std_val
self.std_lower_bound = std_lower_bound
self.std_upper_bound = std_upper_bound
def __str__(self):
return "BenchmarkResults %s\nmean value=%f, lowerBound=%f, upperBound=%f\nstd:%f, lowerBound=%f, upperBound=%f" \
% (self.name, self.mean_value, self.mean_lower_bound, self.mean_upper_bound, \
self.std_val, self.std_lower_bound, self.std_upper_bound)
class TestCase:
"""TestCase class to hold the list of benchmark results"""
def __init__(self, name):
self.name = name
self.results = OrderedDict()
def __str__(self):
return "TestCase %s\nBenchmark result:\n%s" % (self.name, self.results)
class Metric(Enum):
mean = 'mean'
lowMean = 'low_mean'
highMean = 'high_mean'
class Unit(Enum):
nano = 'nano'
micro = 'micro'
milli = 'milli'
sec = 'sec'
def displayUnit(unit):
if unit == Unit.sec:
return "s"
elif unit == Unit.milli:
return "ms"
elif unit == Unit.micro:
return "us"
else:
return "ns"
def nanoToMicro(nano):
return nano / 1000
def nanoToMilli(nano):
# return nano / (1000*1000)
return nano
def nanoToSec(nano):
return nano / (1000*1000*1000)
def convertUnit(nano, unit):
if unit == Unit.sec:
return nanoToSec(nano)
elif unit == Unit.milli:
return nanoToMilli(nano)
elif unit == Unit.micro:
return nanoToMicro(nano)
else:
return nano
parser = argparse.ArgumentParser()
parser.add_argument("--before", help="Path to XML perf log for before comparison.", required=True)
parser.add_argument("--after", help="Path to XML perf log for after comparison.", required=True)
parser.add_argument("--before-label", help="Label for before column.", default='Before')
parser.add_argument("--after-label", help="Label for after column.", default='After')
parser.add_argument("--metric", help="Benchmark metric (mean, low_mean, high_mean).", type=Metric, choices=list(Metric), default=Metric.mean)
parser.add_argument("--unit", help="Benchmark unit (nano, micro, milli, sec).", type=Unit, choices=list(Unit), default=Unit.micro)
args = parser.parse_args()
file_before = args.before
file_after = args.after
unit = args.unit
print('Path to XML perf log for before comparison:', file_before)
print('Path to XML perf log for after comparison:', file_after)
print('Time unit:', unit)
print()
tree_before = ET.parse(file_before)
tree_after = ET.parse(file_after)
root_before = tree_before.getroot()
root_after = tree_after.getroot()
def loadResults(root):
results = OrderedDict()
for test_case in root.iter('TestCase'):
test_name = test_case.attrib['name']
current_test = TestCase(test_name)
for bench_res in test_case.iter('BenchmarkResults'):
bench_name = bench_res.attrib['name']
mean_node = bench_res.find('mean')
mean = float(mean_node.attrib['value'])
mean_lower = float(mean_node.attrib['lowerBound'])
mean_upper = float(mean_node.attrib['upperBound'])
std_node = bench_res.find('standardDeviation')
std = float(std_node.attrib['value'])
std_lower = float(std_node.attrib['lowerBound'])
std_upper = float(std_node.attrib['upperBound'])
current_test.results[bench_name] = BenchmarkResult(bench_name, mean, mean_lower, mean_upper, std, std_lower, std_upper)
results[test_name] = current_test
return results
results_before = loadResults(root_before)
results_after = loadResults(root_after)
for r_before_name, r_before in results_before.items():
title = '{} - time unit: {}'.format(r_before_name, displayUnit(unit))
print('| {} | {} | {} | Speed-up |'.format(title, args.before_label, args.after_label))
print('| --- | --- | --- | --- |')
if r_before_name in results_after:
r_after = results_after[r_before_name]
for b_before_name, b_before in r_before.results.items():
if b_before_name in r_after.results:
b_after = r_after.results[b_before_name]
if args.metric == Metric.lowMean:
metric_before = b_before.mean_lower_bound
metric_after = b_after.mean_lower_bound
elif args.metric == Metric.highMean:
metric_before = b_before.mean_upper_bound
metric_after = b_after.mean_upper_bound
else:
metric_before = b_before.mean_value
metric_after = b_after.mean_value
metric_before = convertUnit(metric_before, unit)
metric_after = convertUnit(metric_after, unit)
speed_up = metric_before / metric_after
print('| {} | {:.2f} | {:.2f} | {:.2f} |'.format(b_before_name, metric_before, metric_after, speed_up))
print()
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