def loadDataframe(mean_file):
mean_ps = PerformanceStatistics(mean_file, index_col='layout')
mean_df = mean_ps.getDataFrame()
mean_df['walk_cycles'] = mean_ps.getWalkDuration()
mean_df['cpu-cycles'] = mean_ps.getRuntime()
df = mean_df[['walk_cycles', 'cpu-cycles']]
return df
def testSimpleInputFile(self):
test_file = os.path.dirname(sys.argv[0]) + '/performance_statistics_test_data.csv'
test_benchmark = 'my_gups/1GB'
ps = PerformanceStatistics(test_file, 'benchmark')
self.assertListEqual(ps.getIndexColumn().tolist(), ['my_gups/16GB', 'my_gups/1GB', 'my_gups/4GB'])
self.assertEqual(ps.getWalkDuration(test_benchmark), 42850778964.0)
self.assertEqual(ps.getStlbMisses(test_benchmark), 554443700.0)
self.assertEqual(ps.getRuntime(test_benchmark), 31148327321.0)
def loadDataframe(mean_file):
mean_ps = PerformanceStatistics(mean_file)
mean_df = mean_ps.getDataFrame()
mean_df['walk_cycles'] = mean_ps.getWalkDuration()
mean_df['cpu-cycles'] = mean_ps.getRuntime()
mean_df['stlb_hits'] = mean_ps.getStlbHits()
df = mean_df[['layout', 'walk_cycles', 'stlb_hits', 'cpu-cycles']]
return df
def loadDataframe(mean_file, output):
mean_ps = PerformanceStatistics(mean_file)
mean_df = mean_ps.getDataFrame()
mean_df['cpu-cycles'] = mean_ps.getRuntime()
mean_df['walk_cycles'] = mean_ps.getWalkDuration()
mean_df['stlb_hits'] = mean_ps.getStlbHits()
mean_df['stlb_misses'] = mean_ps.getStlbMisses()
df = mean_df[['layout', 'walk_cycles', 'stlb_hits', 'stlb_misses', 'cpu-cycles']]
# drop duplicated rows
important_columns = list(df.columns)
important_columns.remove('layout')
#df.drop_duplicates(inplace=True, subset=important_columns)
df = df.drop_duplicates(subset=important_columns)
df.to_csv(output)
return df