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