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benchtests: send non-consumable data to stderr
Non-consumable data, alias data not related to benchmarks, should be sent to the standard error, thus pipelines can work as expected. * benchtests/scripts/compare_bench.py (do_compare): write to stderr in case stat is not present. * benchtests/scripts/compare_bench.py (plot_graphs): write to stderr in case timings field is not present. Also string showing the output filename goes into the stderr.
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@ -1,3 +1,11 @@
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2018-12-12 Leonardo Sandoval <leonardo.sandoval.gonzalez@intel.com>
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* benchtests/scripts/compare_bench.py (do_compare): write to
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stderr in casestat is not present.
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* benchtests/scripts/compare_bench.py (plot_graphs): write to
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stderr in case timings field is not present. Also string showing
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the output filename goes into the stderr.
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2018-12-12 Leonardo Sandoval <leonardo.sandoval.gonzalez@intel.com>
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* benchtests/scripts/compare_bench.py (do_compare): Catch KeyError
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@ -47,6 +47,7 @@ def do_compare(func, var, tl1, tl2, par, threshold):
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v2 = tl2[str(par)]
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d = abs(v2 - v1) * 100 / v1
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except KeyError:
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sys.stderr.write('%s(%s)[%s]: stat does not exist\n' % (func, var, par))
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return
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except ZeroDivisionError:
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return
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@ -85,7 +86,7 @@ def compare_runs(pts1, pts2, threshold, stats):
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# timing info for the function variant.
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if 'timings' not in pts1['functions'][func][var].keys() or \
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'timings' not in pts2['functions'][func][var].keys():
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continue
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continue
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# If two lists do not have the same length then it is likely that
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# the performance characteristics of the function have changed.
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@ -133,7 +134,7 @@ def plot_graphs(bench1, bench2):
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# No point trying to print a graph if there are no detailed
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# timings.
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if u'timings' not in bench1['functions'][func][var].keys():
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print('Skipping graph for %s(%s)' % (func, var))
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sys.stderr.write('Skipping graph for %s(%s)\n' % (func, var))
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continue
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pylab.clf()
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@ -157,7 +158,7 @@ def plot_graphs(bench1, bench2):
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filename = "%s-%s.png" % (func, var)
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else:
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filename = "%s.png" % func
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print('Writing out %s' % filename)
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sys.stderr.write('Writing out %s' % filename)
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pylab.savefig(filename)
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def main(bench1, bench2, schema, threshold, stats):
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