diff --git a/pipeline.py b/pipeline.py
index 917026d..c5a16d8 100644
--- a/pipeline.py
+++ b/pipeline.py
@@ -92,7 +92,7 @@ class Components :
 				_df = pd.DataFrame(_df,columns=columns)
 				# print (columns)
 				
-				info = {"rows":_df.shape[0],"cols":_df.shape[1], "partition":part_index,"logs":_args['logs'],"num_gpu":2,"part_size":PART_SIZE}
+				info = {"rows":_df.shape[0],"cols":_df.shape[1], "partition":part_index,"logs":_args['logs'],"num_gpu":1,"part_size":PART_SIZE}
 				p = {"args":_args,"data":_df.to_dict(orient="records"),"info":info}
 				part_index += 1
 				qwriter.write(p)
@@ -134,7 +134,7 @@ class Components :
 		partition = args['partition'] if 'partition' in args else ''
 		log_folder = os.sep.join([log_folder,args['context'],str(partition)])
 		
-		_args = {"batch_size":10000,"logs":log_folder,"context":args['context'],"max_epochs":150,"column":args['columns'],"id":"person_id","logger":logger}
+		_args = {"batch_size":2000,"logs":log_folder,"context":args['context'],"max_epochs":150,"column":args['columns'],"id":"person_id","logger":logger}
 		_args['max_epochs'] = 150 if 'max_epochs' not in args else int(args['max_epochs'])
 		_args['num_gpu'] = int(args['num_gpu']) if 'num_gpu' in args else 1 
 		os.environ['CUDA_VISIBLE_DEVICES'] = str(args['gpu']) if 'gpu' in args else '0'
@@ -147,15 +147,18 @@ class Components :
 		reader = args['reader']
 		df = reader()
 		# bounds = Components.split(df,MAX_ROWS,PART_SIZE)
-		if partition != '' and os.path.exists(log_folder):
+		if partition != '' :
 			columns = args['columns']
 			df = np.array_split(df[columns].values,PART_SIZE)
 			df = pd.DataFrame(df[ int (partition) ],columns = columns)
+			info = {"parition":int(partition),"rows":df.shape[0],"cols":df.shape[0],"part_size":PART_SIZE}
+			logger.write({"module":"generate","action":"partition","input":info})
 
 		_args['data'] = df
 			# _args['data'] = reader()
 		#_args['data'] = _args['data'].astype(object)
-		_args['num_gpu'] = int(args['num_gpu']) if 'num_gpu' in args else 1 
+		_args['num_gpu'] = 1
+		_args['gpu'] = partition
 		_dc = data.maker.generate(**_args) 
 		#
 		# We need to post the generate the data in order to :
@@ -205,7 +208,9 @@ class Components :
 		logger.write({"module":"generate","action":"write","info":info} )
 	@staticmethod
 	def callback(channel,method,header,stream):
-		
+		if stream.decode('utf8') in ['QUIT','EXIT','END'] :
+			channel.close()
+			channel.connection.close()
 		info = json.loads(stream)
 		logger = factory.instance(type='mongo.MongoWriter',args={'dbname':'aou','doc':SYS_ARGS['context']})
 		
@@ -214,10 +219,10 @@ class Components :
 		args = info['args']
 		if args['num_gpu'] > 1 :
 			args['gpu'] = int(info['info']['partition']) if info['info']['partition'] == 0 else info['info']['partition'] + 2
-			args['num_gpu'] = 2
+		
 		else:
 			args['gpu'] 	= 0
-			args['num_gpu'] = 1
+		args['num_gpu'] = 1
 		# if int(args['num_gpu']) > 1 and args['gpu'] > 0:
 		# 	args['gpu'] = args['gpu'] + args['num_gpu'] if args['gpu'] + args['num_gpu'] < 8 else args['gpu'] #-- 8 max gpus
 		args['reader'] = lambda: df
@@ -242,8 +247,7 @@ if __name__ == '__main__' :
 	args =  (PIPELINE[index])
 	
 	args = dict(args,**SYS_ARGS)
-	args['max_rows'] 	= int(args['max_rows']) 	if 'max_rows' in args else 3
-	args['part_size']	= int(args['part_size']) 	if 'part_size' in args else 4
+	
 	args['logs'] 		= args['logs'] if 'logs' in args else 'logs'
 	if 'dataset' not in args :
 		args['dataset'] = 'combined20191004v2_deid'