diff options
Diffstat (limited to 'aerialvision/organizedata.py')
| -rw-r--r-- | aerialvision/organizedata.py | 35 |
1 files changed, 18 insertions, 17 deletions
diff --git a/aerialvision/organizedata.py b/aerialvision/organizedata.py index 090b90f..f5d5312 100644 --- a/aerialvision/organizedata.py +++ b/aerialvision/organizedata.py @@ -99,7 +99,7 @@ def organizedata(fileVars): } data_type_char = {int:'I', float:'f'} - print "Organizing data into internal format..." + print("Organizing data into internal format...") # Organize globalCycle in advance because it is used as a reference if ('globalCycle' in fileVars): @@ -107,28 +107,28 @@ def organizedata(fileVars): fileVars['globalCycle'].data = organizeFunction[statData.organize](statData.data, data_type_char[statData.datatype]) # Organize other stat data into internal format - for statName, statData in fileVars.iteritems(): + for statName, statData in fileVars.items(): if (statName != 'CFLOG' and statName != 'globalCycle' and statData.organize != 'custom'): fileVars[statName].data = organizeFunction[statData.organize](statData.data, data_type_char[statData.datatype]) # Custom routines to organize stat data into internal format - if fileVars.has_key('averagemflatency'): + if 'averagemflatency' in fileVars: zeros = [] for count in range(len(fileVars['averagemflatency'].data),len(fileVars['globalCycle'].data)): zeros.append(0) fileVars['averagemflatency'].data = zeros + fileVars['averagemflatency'].data - if (skipCFLog == 0) and fileVars.has_key('CFLOG'): + if (skipCFLog == 0) and 'CFLOG' in fileVars: ptxFile = CFLOGptxFile statFile = CFLOGInsnInfoFile - print "PC Histogram to CUDA Src = %d" % convertCFLog2CUDAsrc + print("PC Histogram to CUDA Src = %d" % convertCFLog2CUDAsrc) parseCFLOGCUDA = convertCFLog2CUDAsrc if parseCFLOGCUDA == 1: - print "Obtaining PTX-to-CUDA Mapping from %s..." % ptxFile + print("Obtaining PTX-to-CUDA Mapping from %s..." % ptxFile) map = lexyacctexteditor.ptxToCudaMapping(ptxFile.rstrip()) - print "Obtaining Program Range from %s..." % statFile + print("Obtaining Program Range from %s..." % statFile) maxStats = max(lexyacctexteditor.textEditorParseMe(statFile.rstrip()).keys()) if parseCFLOGCUDA == 1: @@ -136,7 +136,7 @@ def organizedata(fileVars): for lines in map: for ptxLines in map[lines]: newMap[ptxLines] = lines - print " Total number of CUDA src lines = %s..." % len(newMap) + print(" Total number of CUDA src lines = %s..." % len(newMap)) markForDel = [] for ptxLines in newMap: @@ -144,7 +144,7 @@ def organizedata(fileVars): markForDel.append(ptxLines) for lines in markForDel: del newMap[lines] - print " Number of touched CUDA src lines = %s..." % len(newMap) + print(" Number of touched CUDA src lines = %s..." % len(newMap)) fileVars['CFLOGglobalPTX'] = vc.variable('',2,0) fileVars['CFLOGglobalCUDA'] = vc.variable('',2,0) @@ -152,7 +152,7 @@ def organizedata(fileVars): count = 0 for iter in fileVars['CFLOG']: - print "Organizing data for %s" % iter + print("Organizing data for %s" % iter) fileVars[iter + 'PTX'] = fileVars['CFLOG'][iter] fileVars[iter + 'PTX'].data = CFLOGOrganizePTX(fileVars['CFLOG'][iter].data, fileVars['CFLOG'][iter].maxPC) @@ -174,7 +174,7 @@ def organizedata(fileVars): for columns in range(0, len(fileVars[iter + 'CUDA'].data[rows])): fileVars['CFLOGglobalCUDA'].data[rows][columns] += fileVars[iter + 'CUDA'].data[rows][columns] except: - print "Error in generating globalCFLog data" + print("Error in generating globalCFLog data") count += 1 del fileVars['CFLOG'] @@ -231,10 +231,10 @@ def nullOrganizedStackedBar(nullVar, datatype_c): for row in range (0,len(organized)): newy = array.array(datatype_c, [0 for col in range(newLen)]) for col in range(0, len(organized[row])): - newcol = col / n_data + newcol = int(col / n_data) newy[newcol] += organized[row][col] for col in range(0, len(newy)): - newy[col] /= n_data + newy[col] = int(newy[col]/n_data) organized[row] = newy return organized @@ -320,15 +320,15 @@ def CFLOGOrganizeCuda(list, ptx2cudamap): nSamples = len(list[0]) # create a dictionary of empty data array (one array per cuda source line) - for ptxline, cudaline in ptx2cudamap.iteritems(): - if tmp.has_key(cudaline): + for ptxline, cudaline in ptx2cudamap.items(): + if cudaline in tmp: pass else: tmp[cudaline] = [0 for lengthData in range(nSamples)] for cudaline in tmp: - for ptxLines, mapped_cudaline in ptx2cudamap.iteritems(): + for ptxLines, mapped_cudaline in ptx2cudamap.items(): if mapped_cudaline == cudaline: for lengthData in range(nSamples): tmp[cudaline][lengthData] += list[ptxLines][lengthData] @@ -336,7 +336,7 @@ def CFLOGOrganizeCuda(list, ptx2cudamap): final = [] for iter in range(min(tmp.keys()),max(tmp.keys())): - if tmp.has_key(iter): + if iter in tmp: final.append(tmp[iter]) else: final.append([0 for lengthData in range(nSamples)]) @@ -356,3 +356,4 @@ def CFLOGOrganizeCuda(list, ptx2cudamap): # return organized + |