data-maker/pipeline.py

#!/usr/bin/env python3
	@staticmethod
		# pointer  = args['reader'] if 'reader' in args else lambda: Components.get(**args)
		if int(args['num_gpu']) > 1 :
		_args = {"batch_size":2000,"logs":log_folder,"context":args['context'],"max_epochs":150,"column":args['columns'],"id":"person_id","logger":logger}
		_args['partition'] = int(partition)
		# logger.write(info)
				# if len(jobs) == 1 :
#for args in PIPELINE :