Set of commits to be tagged v0.17

Changelog

See MR !9 (merged).

src/maggotuba/models/modules.py

 import logging
 import os
 from pathlib import Path
+import numpy as np
 import torch
 from torch import nn
 import json
@@ -29,6 +30,7 @@ class MaggotModule(nn.Module):
     @classmethod
     def load_config(cls, path):
         with open(path, "r") as f:
+            logging.debug(f"loading config file: {path}")
             return json.load(f)
 
     @property
@@ -73,6 +75,7 @@ class MaggotModule(nn.Module):
     def save_config(self, cfgfile=None):
         if cfgfile is None: cfgfile = self.cfgfile
         path = self.path / cfgfile
+        logging.debug(f"saving config to file: {path}")
         with open(path, "w") as f:
             json.dump(self.config, f, indent=2)
         check_permissions(path)
@@ -81,6 +84,7 @@ class MaggotModule(nn.Module):
     def save_model(self, ptfile=None):
         if ptfile is None: ptfile = self.ptfile
         path = self.path / ptfile
+        logging.debug(f"saving neural network state to file: {path}")
         torch.save(self.model.state_dict(), path)
         check_permissions(path)
         return path
@@ -179,6 +183,8 @@ class MaggotEncoder(MaggotModule):
             except Exception as e:
                 _reason = e
                 config['load_state'] = False # for `was_pretrained` to properly work
+            else:
+                logging.debug(f"loading neural network state: {path}")
         else:
             _reason = '"load_state" is set to false'
         # if state file not found or config option "load_state" is False,
@@ -330,9 +336,11 @@ class DeepLinear(nn.Module):
         return self.layers(x)
 
     def load(self, path):
+        logging.debug(f"loading neural network state: {path}")
         self.load_state_dict(torch.load(path))
 
     def save(self, path):
+        logging.debug(f"saving neural network state to file: {path}")
         torch.save(self.state_dict(), path)
         check_permissions(path)