def check_performance(self):
"""The performance checking phase of the regression test pipeline.
:raises reframe.core.exceptions.SanityError: If the performance check
fails.
"""
if self.perf_patterns is None:
return
with os_ext.change_dir(self._stagedir):
# We first evaluate and log all performance values and then we
# check them against the reference. This way we always log them
# even if the don't meet the reference.
for tag, expr in self.perf_patterns.items():
value = evaluate(expr)
key = '%s:%s' % (self._current_partition.fullname, tag)
if key not in self.reference:
raise SanityError(
"tag `%s' not resolved in references for `%s'" %
(tag, self._current_partition.fullname))
self._perfvalues[key] = (value, *self.reference[key])
self._perf_logger.log_performance(logging.INFO, tag, value,
*self.reference[key])
for val, *reference in self._perfvalues.values():
ref, low_thres, high_thres, *_ = reference
try:
evaluate(assert_reference(val, ref, low_thres, high_thres))
except SanityError as e:
raise PerformanceError(e)
def check_performance(self):
raise PerformanceError('performance failure')
def check_performance(self):
"""The performance checking phase of the regression test pipeline.
:raises reframe.core.exceptions.SanityError: If the performance check
fails.
"""
if self.perf_patterns is None:
return
with os_ext.change_dir(self._stagedir):
# Check if default reference perf values are provided and
# store all the variables tested in the performance check
has_default = False
variables = set()
for key, ref in self.reference.items():
keyparts = key.split(self.reference.scope_separator)
system = keyparts[0]
varname = keyparts[-1]
try:
unit = ref[3]
except IndexError:
unit = None
variables.add((varname, unit))
if system == '*':
has_default = True
break
if not has_default:
if not variables:
# If empty, it means that self.reference was empty, so try
# to infer their name from perf_patterns
variables = {(name, None)
for name in self.perf_patterns.keys()}
for var in variables:
name, unit = var
ref_tuple = (0, None, None)
if unit:
ref_tuple += (unit, )
self.reference.update({'*': {name: ref_tuple}})
# We first evaluate and log all performance values and then we
# check them against the reference. This way we always log them
# even if the don't meet the reference.
for tag, expr in self.perf_patterns.items():
value = evaluate(expr)
key = '%s:%s' % (self._current_partition.fullname, tag)
if key not in self.reference:
raise SanityError(
"tag `%s' not resolved in references for `%s'" %
(tag, self._current_partition.fullname))
self._perfvalues[key] = (value, *self.reference[key])
self._perf_logger.log_performance(logging.INFO, tag, value,
*self.reference[key])
for key, values in self._perfvalues.items():
val, ref, low_thres, high_thres, *_ = values
tag = key.split(':')[-1]
try:
evaluate(
assert_reference(
val,
ref,
low_thres,
high_thres,
msg=('failed to meet reference: %s={0}, '
'expected {1} (l={2}, u={3})' % tag)))
except SanityError as e:
raise PerformanceError(e)