def __init__(self, job):
super(SlurmCgroupMemTimeseries, self).__init__(job)
self._data = TimeseriesAccumulator(job.nodecount, self._job.walltime)
self._hostdata = {}
self._hostcounts = {}
self._expectedcgroup = "/slurm/uid_{0}/job_{1}".format(
job.acct['uid'], job.job_id)
def __init__(self, job):
super(CgroupMemTimeseries, self).__init__(job)
self._data = TimeseriesAccumulator(job.nodecount, self._job.walltime)
self._hostdata = {}
self._hostcounts = {}
if job.acct['resource_manager'] == 'pbs':
self._expectedcgroup = "/torque/{0}".format(job.job_id)
elif job.acct['resource_manager'] == 'slurm':
self._expectedcgroup = "/slurm/uid_{0}/job_{1}".format(
job.acct['uid'], job.job_id)
else:
raise NotApplicableError
def __init__(self, job):
super(GpuUsageTimeseries, self).__init__(job)
self._data = TimeseriesAccumulator(job.nodecount, self._job.walltime)
self._hostdata = {}
self._hostdevnames = {}
def __init__(self, job):
super(CpuUserTimeseries, self).__init__(job)
self._data = TimeseriesAccumulator(job.nodecount, self._job.walltime)
self._hostdata = {}
self._hostdevnames = {}
self._cpusallowed = None
def __init__(self, job):
super(SimdInsTimeseries, self).__init__(job)
self._data = TimeseriesAccumulator(job.nodecount, self._job.walltime)
self._hostdata = {}
self._hostdevnames = {}
self._error = None
def __init__(self, job):
super(RateConvertingTimeseriesPlugin, self).__init__(job)
self._data = TimeseriesAccumulator(job.nodecount, self._job.walltime)
self._hostdata = {}
