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https://gitlab.kitware.com/vtk/vtk-m
synced 2024-10-05 01:49:02 +00:00
Cleanup / expand the benchmark parser scripts.
This commit is contained in:
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39f4255263
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@ -3,14 +3,11 @@
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# Compares the output from BenchmarkDeviceAdapter from the serial
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# Compares the output from BenchmarkDeviceAdapter from the serial
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# device to a parallel device and prints a table containing the results.
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# device to a parallel device and prints a table containing the results.
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#
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#
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# While this was written for the device adapter algorithms, it could be used
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# to compare any VTKM benchmark output.
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#
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# Example usage:
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# Example usage:
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#
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#
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# $ BenchmarkDeviceAdapter_SERIAL > serial.out
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# $ BenchmarkDeviceAdapter_SERIAL > serial.out
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# $ BenchmarkDeviceAdapter_TBB > tbb.out
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# $ BenchmarkDeviceAdapter_TBB > tbb.out
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# $ devAlgoBenchSummary.py serial.out tbb.out
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# $ benchCompare.py serial.out tbb.out
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#
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#
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#
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#
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# The number of threads (optional -- only used to generate the "Warn" column)
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# The number of threads (optional -- only used to generate the "Warn" column)
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111
Utilities/Scripts/benchSummary.py
Executable file
111
Utilities/Scripts/benchSummary.py
Executable file
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#!/usr/bin/env python
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#
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# Prints a concise summary of a benchmark output as a TSV blob.
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#
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# Example usage:
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#
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# $ BenchmarkXXX_DEVICE > bench.out
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# $ benchSummary.py bench.out
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#
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# Options SortByType, SortByName, or SortByMean may be passed after the
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# filename to sort the output by the indicated quantity. If no sort option
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# is provided, the output order matches the input. If multiple options are
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# specified, the list will be sorted repeatedly in the order requested.
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import re
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import sys
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assert(len(sys.argv) >= 2)
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# Parses "*** vtkm::Float64 ***************" --> vtkm::Float64
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typeParser = re.compile("\\*{3} ([^*]+) \\*{15}")
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# Parses "Benchmark 'Benchmark name' results:" --> Benchmark name
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nameParser = re.compile("Benchmark '([^-]+)' results:")
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# Parses "mean = 0.0125s" --> 0.0125
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meanParser = re.compile("\\s+mean = ([0-9.Ee+-]+)s")
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# Parses "std dev = 0.0125s" --> 0.0125
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stdDevParser = re.compile("\\s+std dev = ([naN0-9.Ee+-]+)s")
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filename = sys.argv[1]
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benchFile = open(filename, 'r')
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sortOpt = None
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if len(sys.argv) > 2:
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sortOpt = sys.argv[2:]
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class BenchKey:
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def __init__(self, name_, type_):
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self.name = name_
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self.type = type_
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def __eq__(self, other):
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return self.name == other.name and self.type == other.type
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def __lt__(self, other):
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if self.name < other.name: return True
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elif self.name > other.name: return False
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else: return self.type < other.type
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def __hash__(self):
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return (self.name + self.type).__hash__()
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class BenchData:
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def __init__(self, mean_, stdDev_):
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self.mean = mean_
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self.stdDev = stdDev_
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def parseFile(f, benchmarks):
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type = ""
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bench = ""
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mean = -1.
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stdDev = -1.
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for line in f:
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typeRes = typeParser.match(line)
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if typeRes:
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type = typeRes.group(1)
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continue
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nameRes = nameParser.match(line)
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if nameRes:
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name = nameRes.group(1)
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continue
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meanRes = meanParser.match(line)
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if meanRes:
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mean = float(meanRes.group(1))
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continue
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stdDevRes = stdDevParser.match(line)
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if stdDevRes:
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stdDev = float(stdDevRes.group(1))
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# stdDev is always the last parse for a given benchmark, add entry now
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benchmarks[BenchKey(name, type)] = BenchData(mean, stdDev)
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mean = -1.
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stdDev = -1.
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continue
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benchmarks = {}
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parseFile(benchFile, benchmarks)
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# Sort keys by type:
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keys = benchmarks.keys()
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if sortOpt:
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for opt in sortOpt:
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if opt.lower() == "sortbytype":
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keys = sorted(keys, key=lambda k: k.type)
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elif opt.lower() == "sortbyname":
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keys = sorted(keys, key=lambda k: k.name)
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elif opt.lower() == "sortbymean":
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keys = sorted(keys, key=lambda k: benchmarks[k].mean)
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print("# Summary: (%s)"%filename)
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print("%-9s\t%-9s\t%-s"%("Mean", "Stdev", "Benchmark (type)"))
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for key in keys:
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data = benchmarks[key]
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print("%9.6f\t%9.6f\t%s (%s)"%(data.mean, data.stdDev, key.name, key.type))
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156
Utilities/Scripts/benchSummaryWithBaselines.py
Executable file
156
Utilities/Scripts/benchSummaryWithBaselines.py
Executable file
@ -0,0 +1,156 @@
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#!/usr/bin/env python
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#
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# Prints a concise summary of a benchmark output as a TSV blob. Benchmarks are
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# expected to have "Baseline" in the name, and a matching benchmark with the
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# same name but Baseline replaced with something else. For example,
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#
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# Baseline benchmark name: "Some benchmark: Baseline, Size=4"
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# Test benchmark name: "Some benchmark: Blahblah, Size=4"
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#
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# The output will print the baseline, test, and overhead times for the
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# benchmarks.
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#
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# Example usage:
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#
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# $ BenchmarkXXX_DEVICE > bench.out
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# $ benchSummaryWithBaselines.py bench.out
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#
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# Options SortByType, SortByName, SortByOverhead, or SortByRatio
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# (testtime/baseline) may be passed after the filename to sort the output by
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# the indicated quantity. If no sort option is provided, the output order
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# matches the input. If multiple options are specified, the list will be sorted
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# repeatedly in the order requested.
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import re
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import sys
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assert(len(sys.argv) >= 2)
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# Parses "*** vtkm::Float64 ***************" --> vtkm::Float64
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typeParser = re.compile("\\*{3} ([^*]+) \\*{15}")
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# Parses "Benchmark 'Benchmark name' results:" --> Benchmark name
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nameParser = re.compile("Benchmark '([^-]+)' results:")
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# Parses "mean = 0.0125s" --> 0.0125
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meanParser = re.compile("\\s+mean = ([0-9.Ee+-]+)s")
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# Parses "std dev = 0.0125s" --> 0.0125
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stdDevParser = re.compile("\\s+std dev = ([naN0-9.Ee+-]+)s")
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# Parses "SomeText Baseline Other Text" --> ("SomeText ", " Other Text")
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baselineParser = re.compile("(.*)Baseline(.*)")
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filename = sys.argv[1]
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benchFile = open(filename, 'r')
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sortOpt = None
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if len(sys.argv) > 2:
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sortOpt = sys.argv[2:]
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class BenchKey:
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def __init__(self, name_, type_):
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self.name = name_
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self.type = type_
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def __eq__(self, other):
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return self.name == other.name and self.type == other.type
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def __lt__(self, other):
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if self.name < other.name: return True
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elif self.name > other.name: return False
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else: return self.type < other.type
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def __hash__(self):
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return (self.name + self.type).__hash__()
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class BenchData:
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def __init__(self, mean_, stdDev_):
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self.mean = mean_
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self.stdDev = stdDev_
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def parseFile(f, benchmarks):
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type = ""
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bench = ""
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mean = -1.
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stdDev = -1.
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for line in f:
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typeRes = typeParser.match(line)
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if typeRes:
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type = typeRes.group(1)
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continue
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nameRes = nameParser.match(line)
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if nameRes:
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name = nameRes.group(1)
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continue
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meanRes = meanParser.match(line)
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if meanRes:
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mean = float(meanRes.group(1))
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continue
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stdDevRes = stdDevParser.match(line)
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if stdDevRes:
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stdDev = float(stdDevRes.group(1))
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# stdDev is always the last parse for a given benchmark, add entry now
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benchmarks[BenchKey(name, type)] = BenchData(mean, stdDev)
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mean = -1.
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stdDev = -1.
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continue
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class BaselinedBenchData:
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def __init__(self, baseline, test):
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self.baseline = baseline.mean
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self.test = test.mean
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self.overhead = test.mean - baseline.mean
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def findBaselines(benchmarks):
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result = {}
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for baseKey in benchmarks.keys():
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# Look for baseline entries
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baselineRes = baselineParser.match(baseKey.name)
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if baselineRes:
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prefix = baselineRes.group(1)
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suffix = baselineRes.group(2)
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# Find the test entry matching the baseline:
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for testKey in benchmarks.keys():
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if baseKey.type != testKey.type: # Need same type
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continue
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if baseKey.name == testKey.name: # Skip the base key
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continue
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if testKey.name.startswith(prefix) and testKey.name.endswith(suffix):
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newName = (prefix + suffix).replace(", ,", ",")
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newKey = BenchKey(newName, testKey.type)
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newVal = BaselinedBenchData(benchmarks[baseKey], benchmarks[testKey])
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result[newKey] = newVal
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return result
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benchmarks = {}
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parseFile(benchFile, benchmarks)
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benchmarks = findBaselines(benchmarks)
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# Sort keys by type:
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keys = benchmarks.keys()
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if sortOpt:
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for opt in sortOpt:
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if opt.lower() == "sortbytype":
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keys = sorted(keys, key=lambda k: k.type)
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elif opt.lower() == "sortbyname":
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keys = sorted(keys, key=lambda k: k.name)
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elif opt.lower() == "sortbyoverhead":
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keys = sorted(keys, key=lambda k: benchmarks[k].overhead)
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elif opt.lower() == "sortbyratio":
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keys = sorted(keys, key=lambda k: benchmarks[k].overhead / benchmarks[k].baseline)
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print("# Summary: (%s)"%filename)
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print("%-9s\t%-9s\t%-9s\t%-9s\t%-s"%("Baseline", "TestTime", "Overhead", "Test/Base", "Benchmark (type)"))
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for key in keys:
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data = benchmarks[key]
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print("%9.6f\t%9.6f\t%9.6f\t%9.6f\t%s (%s)"%(data.baseline, data.test,
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data.overhead, data.test / data.baseline, key.name, key.type))
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