def heat_test():
heat_plot = plots.HeatMap(
k1=['intel_nhm', 'intel_nhm'],
k2=['CLOCKS_UNHALTED_REF', 'INSTRUCTIONS_RETIRED'],
outdir='.',
prefix='CPI',
header='Heat map of CPI',
lariat_data='pass',
save=True)
heat_plot.plot(filelist[0])
assert os.path.isfile(heat_plot.outdir + '/' + heat_plot.fname + '.pdf')
os.remove(heat_plot.fname + '.pdf')
def heat_map(request, pk):
data = get_data(pk)
hm = plots.HeatMap(k1={'intel_snb' : ['intel_snb','intel_snb'],
'intel_hsw' : ['intel_hsw','intel_hsw'],
'intel_ivb' : ['intel_ivb','intel_ivb'],
'intel_pmc3' : ['intel_pmc3','intel_pmc3']
},
k2={'intel_snb' : ['CLOCKS_UNHALTED_REF',
'INSTRUCTIONS_RETIRED'],
'intel_ivb' : ['CLOCKS_UNHALTED_REF',
'INSTRUCTIONS_RETIRED'],
'intel_hsw' : ['CLOCKS_UNHALTED_REF',
'INSTRUCTIONS_RETIRED'],
'intel_pmc3' : ['CLOCKS_UNHALTED_REF',
'INSTRUCTIONS_RETIRED']
},
lariat_data="pass")
hm.plot(pk,job_data=data)
return figure_to_response(hm)
def heat_map(pk):
data = get_data(pk)
hm = plots.HeatMap()
return components(hm.plot(data))