def dump_model(self, epoch=None):
"""
Dump the model into a pickled version in the model path formulated in the initialisation method.
"""
p = paths.get_model_path(self.get_root_path(), self.model_name, self.n_in, self.n_hidden, self.n_out)
if not epoch is None: p += "_epoch_%i" % epoch
if self.model_params is None:
raise ("Model params are not set and can therefore not be pickled.")
model_params = [param.get_value() for param in self.model_params]
pkl.dump(model_params, open(p, "wb"), protocol=pkl.HIGHEST_PROTOCOL)
def dump_model(self, epoch=None):
"""
Dump the model into a pickled version in the model path formulated in the initialisation method.
"""
p = paths.get_model_path(self.get_root_path(), self.model_name,
self.n_in, self.n_hidden, self.n_out)
if not epoch is None: p += "_epoch_%i" % epoch
if self.model_params is None:
raise "Model params are not set and can therefore not be pickled."
model_params = [param.get_value() for param in self.model_params]
pkl.dump(model_params, open(p, "wb"), protocol=pkl.HIGHEST_PROTOCOL)
def load_model(self, id):
"""
Load the pickled version of the model into a 'new' model instance.
:param id: The model ID is constructed from the timestamp when the model was defined.
"""
model_params = (self.model_name, self.n_in, self.n_hidden, self.n_out, id)
root = paths.get_root_output_path(*model_params)
p = paths.get_model_path(root, *model_params[:-1])
model_params = pkl.load(open(p, "rb"))
for i in range(len(self.model_params)):
self.model_params[i].set_value(np.asarray(model_params[i], dtype=theano.config.floatX), borrow=True)
def load_model(self, id):
"""
Load the pickled version of the model into a 'new' model instance.
:param id: The model ID is constructed from the timestamp when the model was defined.
"""
model_params = (self.model_name, self.n_in, self.n_hidden, self.n_out,
id)
root = paths.get_root_output_path(*model_params)
p = paths.get_model_path(root, *model_params[:-1])
model_params = pkl.load(open(p, "rb"))
for i in range(len(self.model_params)):
self.model_params[i].set_value(np.asarray(
model_params[i], dtype=theano.config.floatX),
borrow=True)
def load_model(self, id):
"""
Load the pickled version of the model into a 'new' model instance.
:param id: The model ID is constructed from the timestamp when the model was defined.
"""
model_params = (self.model_name, self.n_in, self.n_hidden, self.n_out, id)
root = paths.get_root_output_path(*model_params)
self.root_path = root
p = paths.get_model_path(root, *model_params[:-1])
model_params = pkl.load(open(p, "rb"))
for i in range(len(self.model_params)):
init_param = self.model_params[i]
loaded_param = model_params[i]
if not loaded_param.shape == tuple(init_param.shape.eval()):
print "Model could not be loaded, since parameters are not aligned."
self.model_params[i].set_value(np.asarray(model_params[i], dtype=theano.config.floatX), borrow=True)
def load_model(self, id):
"""
Load the pickled version of the model into a 'new' model instance.
:param id: The model ID is constructed from the timestamp when the model was defined.
"""
model_params = (self.model_name, self.n_in, self.n_hidden, self.n_out,
id)
root = paths.get_root_output_path(*model_params)
self.root_path = root
p = paths.get_model_path(root, *model_params[:-1])
model_params = pkl.load(open(p, "rb"))
for i in range(len(self.model_params)):
init_param = self.model_params[i]
loaded_param = model_params[i]
if not loaded_param.shape == tuple(init_param.shape.eval()):
print "Model could not be loaded, since parameters are not aligned."
self.model_params[i].set_value(np.asarray(
model_params[i], dtype=theano.config.floatX),
borrow=True)
