def __createDataset(self):
from esys.weipa.weipacpp import EscriptDataset
from esys.weipa import createDataset
ds = createDataset(self._domain, **self._data)
ds.setCycleAndTime(self._N, self._time)
ds.setMetadataSchemaString(self._md_schema, self._metadata)
ds.setMeshLabels(self._meshlabels[0], self._meshlabels[1], self._meshlabels[2])
ds.setMeshUnits(self._meshunits[0], self._meshunits[1], self._meshunits[2])
return ds
def siloWriterCallback(self, k, x, Jx, g_Jx, norm_dJ=None, norm_dx=None):
"""
callback function that can be used to track the solution
:param k: iteration count
:param x: current approximation
:param Jx: value of cost function
:param g_Jx: gradient of f at x
"""
fn='inv.%d'%k
ds=createDataset(susceptibility=self.getCostFunction().getProperties(x))
ds.setCycleAndTime(k,k)
ds.saveSilo(fn)
self.logger.debug("J(m) = %e"%Jx)
def siloWriterCallback(self, k, x, Jx, g_Jx, norm_dJ=None, norm_dx=None):
"""
callback function that can be used to track the solution
:param k: iteration count
:param x: current approximation
:param Jx: value of cost function
:param g_Jx: gradient of f at x
"""
fn = 'inv.%d' % k
ds = createDataset(density=self.getCostFunction().getProperties(x))
ds.setCycleAndTime(k, k)
ds.saveSilo(fn)
self.logger.debug("J(m) = %e" % Jx)
