/
recording_manager.py
273 lines (223 loc) · 8.31 KB
/
recording_manager.py
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"""
RecordingManager class definition.
"""
import time
from openmdao.utils.general_utils import simple_warning
try:
from openmdao.utils.mpi import MPI
except ImportError:
MPI = None
class RecordingManager(object):
"""
Object that routes function calls to all attached recorders.
Attributes
----------
_recorders : list of CaseRecorder
All of the recorders attached to the current object.
rank : int
Rank of the iteration coordinate.
_has_serial_recorders: bool
True if any of the recorders managed by this object are serial recorders.
"""
def __init__(self):
"""
init.
"""
self._recorders = []
self._has_serial_recorders = False
if MPI:
self.rank = MPI.COMM_WORLD.rank
else:
self.rank = 0
def __getitem__(self, index):
"""
Get a particular recorder in the manager.
Parameters
----------
index : int
an index into _recorders.
Returns
-------
recorder : CaseRecorder
a recorder from _recorders
"""
return self._recorders[index]
def __iter__(self):
"""
Iterate.
Returns
-------
iter : CaseRecorder
a recorder from _recorders.
"""
return iter(self._recorders)
def append(self, recorder):
"""
Add a recorder for recording.
Parameters
----------
recorder : CaseRecorder
Recorder instance to be added to the manager.
"""
self._recorders.append(recorder)
def startup(self, recording_requester):
"""
Run startup on each recorder in the manager.
Parameters
----------
recording_requester : object
The object that needs an iteration of itself recorded.
"""
# Will only add parallel code for Drivers. Use the old method for System and Solver
from openmdao.core.driver import Driver
if not isinstance(recording_requester, Driver):
for recorder in self._recorders:
recorder.startup(recording_requester)
return
# The remaining code only works for recording of Drivers
model = recording_requester._problem().model
if MPI:
# TODO Eventually, we think we can get rid of this next check. But to be safe,
# we are leaving it in there.
if not model.is_active():
raise RuntimeError("RecordingManager.startup should never be called when "
"running in parallel on an inactive System")
for recorder in self._recorders:
# Each of the recorders determines its self._filtered_* list of vars
# to record
recorder.startup(recording_requester)
if not recorder._parallel:
self._has_serial_recorders = True
def shutdown(self):
"""
Shut down and remove all recorders.
"""
for recorder in self._recorders:
recorder.shutdown()
self._recorders = []
def record_iteration(self, recording_requester, data, metadata):
"""
Call record_iteration on all recorders.
Parameters
----------
recording_requester : object
The object that needs an iteration of itself recorded.
data : dict
Dictionary containing desvars, objectives, constraints, responses, and System vars.
metadata : dict
Metadata for iteration coordinate.
"""
if not self._recorders:
return
if metadata is not None:
metadata['timestamp'] = time.time()
for recorder in self._recorders:
if recorder._parallel or MPI is None or self.rank == 0:
recorder.record_iteration(recording_requester, data, metadata)
def record_metadata(self, recording_requester):
"""
Call record_metadata for all recorders.
Parameters
----------
recording_requester : object
The object that needs its metadata recorded.
"""
for recorder in self._recorders:
# If the recorder does not support parallel recording
# we need to make sure we only record on rank 0.
if recorder._parallel or self.rank == 0:
recorder.record_metadata(recording_requester)
def record_derivatives(self, recording_requester, data, metadata):
"""
Call record_derivatives on all recorders.
Parameters
----------
recording_requester : object
The object that needs an iteration of itself recorded.
data : dict
Dictionary containing derivatives keyed by 'of,wrt' to be recorded.
metadata : dict
Metadata for iteration coordinate.
"""
if not self._recorders:
return
if metadata is not None:
metadata['timestamp'] = time.time()
for recorder in self._recorders:
if recorder._parallel or MPI is None or self.rank == 0:
recorder.record_derivatives(recording_requester, data, metadata)
def has_recorders(self):
"""
Are there any recorders managed by this RecordingManager.
Returns
-------
True/False : bool
True if RecordingManager is managing at least one recorder
"""
return True if self._recorders else False
def _check_parallel(self):
pset = {bool(r._parallel) for r in self._recorders}
# check to make sure we don't have mixed parallel/non-parallel, because that
# currently won't work properly.
if len(pset) > 1:
raise RuntimeError("OpenMDAO currently does not support a mixture of parallel "
"and non-parallel recorders.")
return pset.pop()
def _get_all_requesters(problem):
yield problem
yield problem.driver
for system in problem.model.system_iter(include_self=True, recurse=True):
yield system
nl = system._nonlinear_solver
if nl:
yield nl
if hasattr(nl, 'linesearch') and nl.linesearch:
yield nl.linesearch
def _get_all_viewer_data_recorders(problem):
for req in _get_all_requesters(problem):
for r in req._rec_mgr._recorders:
if r._record_viewer_data:
yield r
def _get_all_recorders(problem):
for req in _get_all_requesters(problem):
for r in req._rec_mgr._recorders:
yield r
def record_viewer_data(problem):
"""
Record model viewer data for all recorders that have that option enabled.
We don't want to collect the viewer data if it's not needed though,
so first we'll find all recorders that need the data (if any) and
then record it for those recorders.
Parameters
----------
problem : Problem
The problem for which model viewer data is to be recorded.
"""
# get all recorders that need to record the viewer data
recorders = set(_get_all_viewer_data_recorders(problem))
# if any recorders were found, get the viewer data and record it
if recorders:
from openmdao.visualization.n2_viewer.n2_viewer import _get_viewer_data
viewer_data = _get_viewer_data(problem)
viewer_data.pop('abs2prom', None) # abs2prom already recorded in metadata table
for recorder in recorders:
recorder.record_viewer_data(viewer_data)
def record_system_options(problem):
"""
Record the system options for all systems in the model.
Parameters
----------
problem : Problem
The problem for which all its systems' options are to be recorded.
"""
# get all recorders in the problem
recorders = set(_get_all_recorders(problem))
if recorders:
if problem._system_options_recorded:
simple_warning("The model is being run again, if the options or scaling of any "
"components has changed then only their new values will be recorded.")
else:
problem._system_options_recorded = True
for recorder in recorders:
for sub in problem.model.system_iter(recurse=True, include_self=True):
recorder.record_metadata_system(sub)