Update hyperparameter dictionary with sequnece_length from dataset-object in main_train_models.py.

video_prediction_tools/main_scripts/main_train_models.py

@@ -136,23 +136,22 @@ class TrainModel(object):
                 
     def setup_dataset(self):
         """
-        Setup train and val dataset instance with the corresponding data split configuration
+        Setup train and val dataset instance with the corresponding data split configuration.
+        Simultaneously, sequence_length is attached to the hyperparameter dictionary.
         """
         VideoDataset = datasets.get_dataset_class(self.dataset)
         self.train_dataset = VideoDataset(input_dir=self.input_dir,mode='train',datasplit_config=self.datasplit_dict)
         self.val_dataset = VideoDataset(input_dir=self.input_dir, mode='val',datasplit_config=self.datasplit_dict)
-        #self.variable_scope = tf.get_variable_scope()
-        #self.variable_scope.set_use_resource(True)
 
+        self.model_hparams_dict_load.update({"sequence_length": self.train_dataset.sequence_length})
 
     def setup_model(self):
         """
         Set up model instance for the given model names
         """
         VideoPredictionModel = models.get_model_class(self.model)
-        self.video_model = VideoPredictionModel(
-                                    hparams_dict=self.model_hparams_dict_load,
-                                       )
+        self.video_model = VideoPredictionModel(hparams_dict=self.model_hparams_dict_load)
+
     def setup_graph(self):
         """
         build model graph