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

samplelib/SampleHost.py

@@ -15,10 +15,6 @@ from .Sample import Sample, SampleType
 
 
 class SampleHost:
-
-
-
-
     samples_cache = dict()
     @staticmethod
     def get_person_id_max_count(samples_path):
@@ -47,7 +43,7 @@ class SampleHost:
         if            sample_type == SampleType.IMAGE:
             if  samples[sample_type] is None:
                 samples[sample_type] = [ Sample(filename=filename) for filename in io.progress_bar_generator( pathex.get_image_paths(samples_path), "Loading") ]
-        
+
         elif          sample_type == SampleType.FACE:
             if  samples[sample_type] is None:
                 try:
@@ -61,12 +57,12 @@ class SampleHost:
                 if result is None:
                     result = SampleHost.load_face_samples( pathex.get_image_paths(samples_path) )
                 samples[sample_type] = result
-                
+
         elif          sample_type == SampleType.FACE_TEMPORAL_SORTED:
                 result = SampleHost.load (SampleType.FACE, samples_path)
                 result = SampleHost.upgradeToFaceTemporalSortedSamples(result)
                 samples[sample_type] = result
-                
+
         return samples[sample_type]
 
     @staticmethod
@@ -92,17 +88,17 @@ class SampleHost:
                                         source_filename=source_filename,
                                     ))
         return sample_list
-        
+
     """
     @staticmethod
     def load_face_samples ( image_paths):
         sample_list = []
-        
+
         for filename in io.progress_bar_generator (image_paths, desc="Loading"):
-            dflimg = DFLIMG.load (Path(filename))            
+            dflimg = DFLIMG.load (Path(filename))
             if dflimg is None:
                 io.log_err (f"{filename} is not a dfl image file.")
-            else:                        
+            else:
                 sample_list.append( Sample(filename=filename,
                                            sample_type=SampleType.FACE,
                                            face_type=FaceType.fromString ( dflimg.get_face_type() ),
@@ -114,15 +110,15 @@ class SampleHost:
                                     ))
         return sample_list
     """
-    
+
     @staticmethod
     def upgradeToFaceTemporalSortedSamples( samples ):
         new_s = [ (s, s.source_filename) for s in samples]
         new_s = sorted(new_s, key=operator.itemgetter(1))
 
         return [ s[0] for s in new_s]
-        
-        
+
+
 class FaceSamplesLoaderSubprocessor(Subprocessor):
     #override
     def __init__(self, image_paths ):