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					@ -78,7 +78,8 @@ class Components :
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							log_folder = os.sep.join([log_folder,args['context'],str(partition)])
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							log_folder = os.sep.join([log_folder,args['context'],str(partition)])
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							_args = {"batch_size":10000,"logs":log_folder,"context":args['context'],"max_epochs":150,"column":args['columns'],"id":"person_id","logger":logger}
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							_args = {"batch_size":10000,"logs":log_folder,"context":args['context'],"max_epochs":150,"column":args['columns'],"id":"person_id","logger":logger}
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							_args['max_epochs'] = 150 if 'max_epochs' not in args else int(args['max_epochs'])
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							_args['max_epochs'] = 150 if 'max_epochs' not in args else int(args['max_epochs'])
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							if 'batch_size' in args :
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								_args['batch_size'] = int(args['batch_size'])
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							#
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							#
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							# We ask the process to assume 1 gpu given the system number of GPU and that these tasks can run in parallel
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							# We ask the process to assume 1 gpu given the system number of GPU and that these tasks can run in parallel
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							#
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							#
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					@ -118,6 +119,8 @@ class Components :
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							_args = {"batch_size":2000,"logs":log_folder,"context":args['context'],"max_epochs":150,"column":args['columns'],"id":"person_id","logger":logger}
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							_args = {"batch_size":2000,"logs":log_folder,"context":args['context'],"max_epochs":150,"column":args['columns'],"id":"person_id","logger":logger}
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							_args['max_epochs'] = 150 if 'max_epochs' not in args else int(args['max_epochs'])
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							_args['max_epochs'] = 150 if 'max_epochs' not in args else int(args['max_epochs'])
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							# _args['num_gpu'] = int(args['num_gpu']) if 'num_gpu' in args else 1 
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							# _args['num_gpu'] = int(args['num_gpu']) if 'num_gpu' in args else 1 
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							if 'batch_size' in args :
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								_args['batch_size'] = int(args['batch_size'])
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							if int(args['num_gpu']) > 1 :
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							if int(args['num_gpu']) > 1 :
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								_args['gpu'] = int(args['gpu']) if int(args['gpu']) < 8 else np.random.choice(np.arange(8)).astype(int)[0]
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								_args['gpu'] = int(args['gpu']) if int(args['gpu']) < 8 else np.random.choice(np.arange(8)).astype(int)[0]
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