c15d91b235b77b177377ea382bdf9d4149e52ca5,theanolm/src/rnnlm.py,RNNLM,load_params,#RNNLM#Any#,179

Before Change

		print("Read %d parameter values from %s." % (num_updated, path))

		// Reload the error history.
		if not "error_history" in data:
			self.error_history = []
			warnings.warn("Training error history was not found from the archive.")
		else:
			saved_error_history = data["error_history"].tolist()
			// If the error history was empty when the state was saved,
			// ndarray.tolist() will return None.
			if not saved_error_history is None:
				self.error_history = saved_error_history
			self.print_error_history()

	def save_params(self, path, params=None):
		Saves neural network parameters to disk.

		The current parameter values, or the values given in ``params`` argument

After Change

		num_updated = 0
		for name in self.params:
			if not name in data:
				raise InputError("parameter %s was not found from %s." % (name, path))
			self.params[name].set_value(data[name])
			num_updated += 1
		print("Read %d parameter values from %s." % (num_updated, path))

Instances