@@ -508,6 +508,7 @@ def run():
508508 t .start ()
509509
510510 con .execute_command ('AI.MODELRUN' , 'm{1}' , 'INPUTS' , 'a{1}' , 'b{1}' , 'OUTPUTS' , 'c{1}' )
511+ t .join ()
511512
512513 ensureSlaveSynced (con , env )
513514
@@ -640,6 +641,7 @@ def run(name=model_name, output_name='output{1}'):
640641 con = env .getConnection ()
641642 con .execute_command ('AI.MODELRUN' , name ,
642643 'INPUTS' , 'input{1}' , 'OUTPUTS' , output_name )
644+
643645
644646 # Running thrice since minbatchsize = 2
645647 # The third process will hang until termintation or until a new process will execute the model with the same properties.
@@ -676,31 +678,29 @@ def run(name=model_name, output_name='output{1}'):
676678 p .terminate ()
677679
678680
679- @skip_if_no_TF
680- def test_tensorflow_modelrun_with_timeout (env ):
681- con = env .getConnection ()
682- batch_size = 2
683- minbatch_size = 2
684- timeout = 1000
685- model_name = 'model{1}'
686- model_pb , input_var , output_var , labels , img = load_mobilenet_v2_test_data ()
687-
688- con .execute_command ('AI.MODELSET' , model_name , 'TF' , DEVICE ,
689- 'BATCHSIZE' , batch_size , 'MINBATCHSIZE' , minbatch_size ,
690- 'INPUTS' , input_var ,
691- 'OUTPUTS' , output_var ,
692- 'BLOB' , model_pb )
693- con .execute_command ('AI.TENSORSET' , 'input{1}' ,
694- 'FLOAT' , 1 , img .shape [1 ], img .shape [0 ], img .shape [2 ],
695- 'BLOB' , img .tobytes ())
696-
697- t = time .time ()
698- con .execute_command ('AI.MODELRUN' , model_name ,
699- 'TIMEOUT' , timeout ,
700- 'INPUTS' , 'input{1}' , 'OUTPUTS' , 'output{1}' )
701- elapsed_time = time .time () - t
702-
703- env .assertTrue (1000 * elapsed_time >= timeout )
681+ # @skip_if_no_TF
682+ # def test_tensorflow_modelrun_with_timeout(env):
683+ # con = env.getConnection()
684+ # batch_size = 2
685+ # minbatch_size = 2
686+ # timeout = 1
687+ # model_name = 'model{1}'
688+ # model_pb, input_var, output_var, labels, img = load_mobilenet_v2_test_data()
689+
690+ # con.execute_command('AI.MODELSET', model_name, 'TF', DEVICE,
691+ # 'BATCHSIZE', batch_size, 'MINBATCHSIZE', minbatch_size,
692+ # 'INPUTS', input_var,
693+ # 'OUTPUTS', output_var,
694+ # 'BLOB', model_pb)
695+ # con.execute_command('AI.TENSORSET', 'input{1}',
696+ # 'FLOAT', 1, img.shape[1], img.shape[0], img.shape[2],
697+ # 'BLOB', img.tobytes())
698+
699+ # res = con.execute_command('AI.MODELRUN', model_name,
700+ # 'TIMEOUT', timeout,
701+ # 'INPUTS', 'input{1}', 'OUTPUTS', 'output{1}')
702+
703+ # env.assertEqual(b'TIMEDOUT', res)
704704
705705
706706@skip_if_no_TF
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