def process(log):
# Match patterns here
lines = log.split('\n')
print 'runtime',
ln_start = 0
while True:
ln1 = log_util.get_next_ln_starts_with(lines, ln_start,
'Co-efficient Ratio Summary:')
if ln1 == ln_start:
break
t1 = log_util.get_elapse_time(lines, ln1, forward=True)
ln2 = log_util.get_next_ln_starts_with(lines, ln1,
'END_CMD: route_opt_cmd')
if ln2 == ln1:
break
t2 = log_util.get_elapse_time(lines, ln2, forward=True)
print t1, t2,
ln_start = ln2
break
return
def process(log):
# Match patterns here
lines = log.split('\n')
print 'runtime',
ln_start = 0
while True:
ln1 = log_util.get_next_ln_starts_with(lines, ln_start,
'START_CMD: clock_opt')
if ln1 == ln_start:
break
t1 = log_util.get_elapse_time(lines, ln1, forward=True)
ln2 = log_util.get_next_ln_starts_with(lines, ln1,
'END_CMD: clock_opt')
if ln2 == ln1:
break
t2 = log_util.get_elapse_time(lines, ln2, forward=True)
print t1, t2,
ln_start = ln2
return
def process(log):
# Match patterns here
lines = log.split('\n')
ln = log_util.get_next_ln_starts_with(lines, 0, ' WNS Optimization Summary')
do_work(lines, ln, 'w')
ln = log_util.get_next_ln_starts_with(lines, ln, ' TNS Optimization Summary')
do_work(lines, ln, 't')
return
def process(log):
# Match patterns here
lines = log.split('\n')
# only for -debug
t1 = 0
t2 = 0
t3 = 0
ln = log_util.get_next_ln_starts_with(lines, 0, ' POWER ')
hb = lines[ln]
for i in range(ln, 0, -1):
if lines[i].startswith('END_FUNC: propagate_switching_activity'):
match = re.search('ELAPSE:\s+(\d+) s', lines[i])
if match:
t2 = int(match.group(1))
elif lines[i].startswith('START_FUNC: propagate_switching_activity'):
match = re.search('ELAPSE:\s+(\d+) s', lines[i])
if match:
t1 = int(match.group(1))
break
qor = log_util.parse_heartbeat(hb)
if qor['valid']:
hh, mm, ss = qor['elapsed'].split(':')
t3 = int(hh) * 3600 + int(mm) * 60 + int(ss)
print "runtime", t1, t2, t3
else:
print "runtime"
return
def process(log):
# Match patterns here
lines = log.split('\n')
ln = log_util.get_next_ln_starts_with(lines, 0, 'Final optimized QoR')
wns = "--"
tns = "--"
whs = "--"
ths = "--"
match = re.search("\s+WNS\(setup\)=(\S+)\s+TNS\(setup\)=(\S+)\s.*",
lines[ln + 1])
if match:
wns = match.group(1)
tns = match.group(2)
match = re.search("\s+WNS\(hold\)=(\S+)\s+TNS\(hold\)=(\S+)\s.*",
lines[ln + 2])
if match:
whs = match.group(1)
ths = match.group(2)
print "wns", wns
print "tns", tns
print "whs", whs
print "ths", ths
return
def process(log):
# Match patterns here
lines = log.split('\n')
ln_fo = log_util.get_next_ln_starts_with(
lines, 0, 'Running final optimization step.')
ln_lgl1 = log_util.get_next_ln_starts_with(
lines, ln_fo, 'START_FUNC: legalize_placement')
t1 = log_util.get_elapse_time(lines, ln_fo, forward=True)
t2 = log_util.get_elapse_time(lines, ln_lgl1, forward=False)
print t2 - t1
return
def process(log):
# Match patterns here
lines = log.split('\n')
ln_init = log_util.get_next_ln_starts_with(lines, 0, ' * * ')
hb1 = lines[ln_init]
ln_delay = log_util.get_next_ln_starts_with(lines, ln_init, 'INFO: check if proc nro_prelude_delay-Wlb-Tlb exists')
t_delay = log_util.get_elapse_time(lines, ln_delay, forward=False)
ln_sbo = log_util.get_next_ln_starts_with(lines, ln_delay, ' SBO Optimization Summary')
t_sbo = log_util.get_elapse_time(lines, ln_sbo, forward=True)
ln_end = log_util.get_next_ln_starts_with(lines, ln_sbo, ' * * ')
t_end = log_util.get_elapse_time(lines, ln_end, forward=False)
hb2 = lines[ln_end]
# print scenarios
scenarios = []
for m in range(ln_end - 3, max(0, ln_end - 100), -1):
match = re.search('^\s+\d+\s+\*\s+', lines[m])
if match:
scenarios.append(lines[m])
if lines[m].startswith('Scene'):
break
for l in reversed(scenarios):
print l
qor1 = log_util.parse_heartbeat(hb1)
qor2 = log_util.parse_heartbeat(hb2)
if qor1['valid'] and qor2['valid']:
print 'runtime', t_delay, t_sbo, t_end
print "wns", qor1['wns'], qor2['wns']
print "tns", qor1['tns'], qor2['tns']
print "maxtran", qor1['maxtran'], qor2['maxtran']
print "area", qor1['area'], qor2['area']
print "buf", qor1['bufcnt'], qor2['bufcnt']
print "inv", qor1['invcnt'], qor2['invcnt']
return
def process(log):
# Match patterns here
lines = log.split('\n')
ln_init = log_util.get_next_ln_starts_with(lines, 0, ' * * ')
ln_delay = log_util.get_next_ln_starts_with(
lines, ln_init, 'INFO: check if proc nro_prelude_delay-Wlb-Tb exists')
t_delay = log_util.get_elapse_time(lines, ln_delay, forward=False)
ln_prev_hb = log_util.get_next_ln_starts_with(lines,
ln_delay,
' * * ',
forward=False)
if ln_prev_hb == None:
hb1 = ""
else:
hb1 = lines[ln_prev_hb]
print "SCN BEFORE:"
print_scn_table(lines, ln_prev_hb)
ln_sbo = log_util.get_next_ln_starts_with(lines, ln_delay,
' SBO Optimization Summary')
t_sbo = log_util.get_elapse_time(lines, ln_sbo, forward=True)
ln_pbo_w1 = log_util.get_next_ln_starts_with(lines, ln_sbo,
'PBO-WNS: Iteration 2')
t_pbo_wns_1 = log_util.get_elapse_time(lines, ln_pbo_w1, forward=True)
ln_pbo_w2 = log_util.get_next_ln_starts_with(
lines, ln_pbo_w1, ' WNS Optimization Summary')
t_pbo_wns_2 = log_util.get_elapse_time(lines, ln_pbo_w2, forward=True)
ln_pbo_t1 = log_util.get_next_ln_starts_with(lines, ln_pbo_w2,
'PBO-TNS: Iteration 2')
t_pbo_tns_1 = log_util.get_elapse_time(lines, ln_pbo_t1, forward=True)
ln_end = log_util.get_next_ln_starts_with(lines, ln_pbo_t1, ' * * ')
t_end = log_util.get_elapse_time(lines, ln_end, forward=False)
if ln_end == None:
hb2 = ""
else:
hb2 = lines[ln_end]
print "SCN AFTER:"
print_scn_table(lines, ln_end)
qor1 = log_util.parse_heartbeat(hb1)
qor2 = log_util.parse_heartbeat(hb2)
if qor1['valid'] and qor2['valid']:
print 'runtime', t_delay, t_sbo, t_pbo_wns_1, t_pbo_wns_2, t_pbo_tns_1, t_end
print "wns", qor1['wns'], qor2['wns']
print "tns", qor1['tns'], qor2['tns']
print "maxtran", qor1['maxtran'], qor2['maxtran']
print "area", qor1['area'], qor2['area']
print "buf", qor1['bufcnt'], qor2['bufcnt']
print "inv", qor1['invcnt'], qor2['invcnt']
else:
print 'runtime'
print "wns"
print "tns"
print "maxtran"
print "area"
print "buf"
print "inv"
return
def process(log):
# Match patterns here
lines = log.split('\n')
cnt_at = cnt_xac = cnt_xrj = cnt_drj = cnt_mat = cnt_mrj = -1
ln_sbo = log_util.get_next_ln_starts_with(lines, 0,
' SBO Optimization Summary')
for i in range(ln_sbo + 3, ln_sbo + 18):
line = lines[i]
if 'Drivers Attempted' in line:
cnt_at = line.split('=')[1].strip()
elif 'Xform Acceptance Count' in line:
cnt_xac = line.split('=')[1].strip()
elif 'Xform Rejection Count' in line:
cnt_xrj = line.split('=')[1].strip()
elif 'Density Check Rejection Count' in line:
cnt_drj = line.split('=')[1].strip()
elif 'Main Graph Trial Count' in line:
cnt_mat = line.split('=')[1].strip()
elif 'Main Graph Rejection Count' in line:
cnt_mrj = line.split('=')[1].strip()
print "sum-sbo", cnt_at, cnt_xac, cnt_xrj, cnt_drj, cnt_mat, cnt_mrj
cnt_at = cnt_xac = cnt_xrj = cnt_drj = cnt_mat = cnt_mrj = -1
ln_pbo_w = log_util.get_next_ln_starts_with(
lines, ln_sbo, ' WNS Optimization Summary')
for i in range(ln_pbo_w + 3, ln_pbo_w + 18):
line = lines[i]
if 'Drivers Attempted' in line:
cnt_at = line.split('=')[1].strip()
elif 'Xform Acceptance Count' in line:
cnt_xac = line.split('=')[1].strip()
elif 'Xform Rejection Count' in line:
cnt_xrj = line.split('=')[1].strip()
elif 'Density Check Rejection Count' in line:
cnt_drj = line.split('=')[1].strip()
elif 'Main Graph Trial Count' in line:
cnt_mat = line.split('=')[1].strip()
elif 'Main Graph Rejection Count' in line:
cnt_mrj = line.split('=')[1].strip()
print "sum-pbo-w", cnt_at, cnt_xac, cnt_xrj, cnt_drj, cnt_mat, cnt_mrj
cnt_at = cnt_xac = cnt_xrj = cnt_drj = cnt_mat = cnt_mrj = -1
ln_pbo_t = log_util.get_next_ln_starts_with(
lines, ln_pbo_w, ' TNS Optimization Summary')
for i in range(ln_pbo_t + 3, ln_pbo_t + 18):
line = lines[i]
if 'Drivers Attempted' in line:
cnt_at = line.split('=')[1].strip()
elif 'Xform Acceptance Count' in line:
cnt_xac = line.split('=')[1].strip()
elif 'Xform Rejection Count' in line:
cnt_xrj = line.split('=')[1].strip()
elif 'Density Check Rejection Count' in line:
cnt_drj = line.split('=')[1].strip()
elif 'Main Graph Trial Count' in line:
cnt_mat = line.split('=')[1].strip()
elif 'Main Graph Rejection Count' in line:
cnt_mrj = line.split('=')[1].strip()
print "sum-pbo-t", cnt_at, cnt_xac, cnt_xrj, cnt_drj, cnt_mat, cnt_mrj
return
