Trainer: added option for all models

Enable autobackup? (y/n ?:help skip:%s) :
Autobackup model files with preview every hour for last 15 hours. Latest backup located in model/<>_autobackups/01

SAE: added option only for CUDA builds:
Enable gradient clipping? (y/n, ?:help skip:%s) :
Gradient clipping reduces chance of model collapse, sacrificing speed of training.

models/Model_DF/Model.py

@@ -59,11 +59,16 @@ class Model(ModelBase):
                         sample_process_options=SampleProcessor.Options(random_flip=self.random_flip),
                         output_sample_types=output_sample_types)
                 ])
+                
+    #override
+    def get_model_filename_list(self):
+        return [[self.encoder, 'encoder.h5'],
+                [self.decoder_src, 'decoder_src.h5'],
+                [self.decoder_dst, 'decoder_dst.h5']]
+        
     #override
     def onSave(self):
-        self.save_weights_safe( [[self.encoder,     'encoder.h5'],
-                                 [self.decoder_src, 'decoder_src.h5'],
-                                 [self.decoder_dst, 'decoder_dst.h5']] )
+        self.save_weights_safe( self.get_model_filename_list() )
 
     #override
     def onTrainOneIter(self, sample, generators_list):