Upgraded to TF version 1.13.2

Removed the wait at first launch for most graphics cards.

Increased speed of training by 10-20%, but you have to retrain all models from scratch.

SAEHD:

added option 'use float16'
	Experimental option. Reduces the model size by half.
	Increases the speed of training.
	Decreases the accuracy of the model.
	The model may collapse or not train.
	Model may not learn the mask in large resolutions.

true_face_training option is replaced by
"True face power". 0.0000 .. 1.0
Experimental option. Discriminates the result face to be more like the src face. Higher value - stronger discrimination.
Comparison - https://i.imgur.com/czScS9q.png

DFLIMG/DFLPNG.py

@@ -287,7 +287,7 @@ class DFLPNG(object):
                 f.write ( inst.dump() )
         except:
             raise Exception( 'cannot save %s' % (filename) )
-        
+
     @staticmethod
     def embed_data(filename, face_type=None,
                              landmarks=None,
@@ -312,11 +312,11 @@ class DFLPNG(object):
             else:
                 io.log_err("Unable to encode fanseg_mask for %s" % (filename) )
                 fanseg_mask = None
-        
+
         if ie_polys is not None:
             if not isinstance(ie_polys, list):
                 ie_polys = ie_polys.dump()
-                
+
         DFLPNG.embed_dfldict (filename, {'face_type': face_type,
                                          'landmarks': landmarks,
                                          'ie_polys' : ie_polys,
@@ -351,7 +351,7 @@ class DFLPNG(object):
         if fanseg_mask is None: fanseg_mask = self.get_fanseg_mask()
         if eyebrows_expand_mod is None: eyebrows_expand_mod = self.get_eyebrows_expand_mod()
         if relighted is None: relighted = self.get_relighted()
-        
+
         DFLPNG.embed_data (filename, face_type=face_type,
                                      landmarks=landmarks,
                                      ie_polys=ie_polys,
@@ -368,7 +368,7 @@ class DFLPNG(object):
 
     def remove_fanseg_mask(self):
         self.dfl_dict['fanseg_mask'] = None
-        
+
     def remove_source_filename(self):
         self.dfl_dict['source_filename'] = None