def _save(self, group):
"""
Save the state of the node into a HDF5 file.
group can be the root
"""
for i in range(len(self.u)):
misc.write_to_hdf5(group, self.u[i], 'u%d' % i)
misc.write_to_hdf5(group, self.observed, 'observed')
return
def _save(self, group):
"""
Save the state of the node into a HDF5 file.
group can be the root
"""
for i in range(len(self.u)):
misc.write_to_hdf5(group, self.u[i], 'u%d' % i)
misc.write_to_hdf5(group, self.observed, 'observed')
return
def save(self, group):
"""
Save the state of the node into a HDF5 file.
group can be the root
"""
## if name is None:
## name = self.name
## subgroup = group.create_group(name)
for i in range(len(self.u)):
misc.write_to_hdf5(group, self.u[i], 'u%d' % i)
misc.write_to_hdf5(group, self.observed, 'observed')
def save(self, group):
"""
Save the state of the node into a HDF5 file.
group can be the root
"""
## if name is None:
## name = self.name
## subgroup = group.create_group(name)
for i in range(len(self.u)):
misc.write_to_hdf5(group, self.u[i], 'u%d' % i)
misc.write_to_hdf5(group, self.observed, 'observed')
def save(self, filename=None):
if self.iter == 0:
# Check HDF5 version.
if h5py.version.hdf5_version_tuple < (1,8,7):
warnings.warn("WARNING! Your HDF5 version is %s. HDF5 versions "
"<1.8.7 are not able to save empty arrays, thus "
"you may experience problems if you for instance "
"try to save before running any iteration steps."
% str(h5py.version.hdf5_version_tuple))
# By default, use the same file as for auto-saving
if not filename:
if self.filename:
filename = self.filename
else:
raise Exception("Filename must be given.")
# Open HDF5 file
h5f = h5py.File(filename, 'w')
try:
# Write each node
nodegroup = h5f.create_group('nodes')
for node in self.model:
if node.name == '':
raise Exception("In order to save nodes, they must have "
"(unique) names.")
if hasattr(node, 'save') and callable(node.save):
node.save(nodegroup.create_group(node.name))
# Write iteration statistics
misc.write_to_hdf5(h5f, self.L, 'L')
misc.write_to_hdf5(h5f, self.iter, 'iter')
if self.callback_output is not None:
misc.write_to_hdf5(h5f,
self.callback_output,
'callback_output')
boundgroup = h5f.create_group('boundterms')
for node in self.model:
misc.write_to_hdf5(boundgroup, self.l[node], node.name)
finally:
# Close file
h5f.close()
def save(self, group):
"""
Save the state of the node into a HDF5 file.
group can be the root
"""
## if name is None:
## name = self.name
## subgroup = group.create_group(name)
for i in range(len(self.phi)):
misc.write_to_hdf5(group, self.phi[i], 'phi%d' % i)
misc.write_to_hdf5(group, self.f, 'f')
misc.write_to_hdf5(group, self.g, 'g')
super().save(group)
def _save(self, group):
"""
Save the state of the node into a HDF5 file.
group can be the root
"""
## if name is None:
## name = self.name
## subgroup = group.create_group(name)
for i in range(len(self.phi)):
misc.write_to_hdf5(group, self.phi[i], 'phi%d' % i)
misc.write_to_hdf5(group, self.f, 'f')
misc.write_to_hdf5(group, self.g, 'g')
super()._save(group)
def save(self, *nodes, filename=None):
if len(nodes) == 0:
nodes = self.model
else:
nodes = [self[node] for node in nodes if node is not None]
if self.iter == 0:
# Check HDF5 version.
if h5py.version.hdf5_version_tuple < (1, 8, 7):
warnings.warn(
"WARNING! Your HDF5 version is %s. HDF5 versions "
"<1.8.7 are not able to save empty arrays, thus "
"you may experience problems if you for instance "
"try to save before running any iteration steps." %
str(h5py.version.hdf5_version_tuple))
# By default, use the same file as for auto-saving
if not filename:
if self.autosave_filename:
filename = self.autosave_filename
else:
raise Exception("Filename must be given.")
# Open HDF5 file
h5f = h5py.File(filename, 'w')
try:
# Write each node
nodegroup = h5f.create_group('nodes')
for node in nodes:
if node.name == '':
raise Exception("In order to save nodes, they must have "
"(unique) names.")
if hasattr(node, '_save') and callable(node._save):
node._save(nodegroup.create_group(node.name))
# Write iteration statistics
misc.write_to_hdf5(h5f, self.L, 'L')
misc.write_to_hdf5(h5f, self.cputime, 'cputime')
misc.write_to_hdf5(h5f, self.iter, 'iter')
misc.write_to_hdf5(h5f, self.converged, 'converged')
if self.callback_output is not None:
misc.write_to_hdf5(h5f, self.callback_output,
'callback_output')
boundgroup = h5f.create_group('boundterms')
for node in nodes:
misc.write_to_hdf5(boundgroup, self.l[node], node.name)
finally:
# Close file
h5f.close()
def save(self, *nodes, filename=None):
if len(nodes) == 0:
nodes = self.model
else:
nodes = [self[node] for node in nodes if node is not None]
if self.iter == 0:
# Check HDF5 version.
if h5py.version.hdf5_version_tuple < (1, 8, 7):
warnings.warn(
"WARNING! Your HDF5 version is %s. HDF5 versions "
"<1.8.7 are not able to save empty arrays, thus "
"you may experience problems if you for instance "
"try to save before running any iteration steps." % str(h5py.version.hdf5_version_tuple)
)
# By default, use the same file as for auto-saving
if not filename:
if self.autosave_filename:
filename = self.autosave_filename
else:
raise Exception("Filename must be given.")
# Open HDF5 file
h5f = h5py.File(filename, "w")
try:
# Write each node
nodegroup = h5f.create_group("nodes")
for node in nodes:
if node.name == "":
raise Exception("In order to save nodes, they must have " "(unique) names.")
if hasattr(node, "_save") and callable(node._save):
node._save(nodegroup.create_group(node.name))
# Write iteration statistics
misc.write_to_hdf5(h5f, self.L, "L")
misc.write_to_hdf5(h5f, self.cputime, "cputime")
misc.write_to_hdf5(h5f, self.iter, "iter")
misc.write_to_hdf5(h5f, self.converged, "converged")
if self.callback_output is not None:
misc.write_to_hdf5(h5f, self.callback_output, "callback_output")
boundgroup = h5f.create_group("boundterms")
for node in nodes:
misc.write_to_hdf5(boundgroup, self.l[node], node.name)
finally:
# Close file
h5f.close()
