Repo: pyro
Filename: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/projects/pyro/tests/infer/test_inference.py
ClassName: PoissonGammaTests
Testname: test_elbo_nonreparameterized
Params: param1,274,33,ParamType.ITER,25000
param2,316,33,ParamType.LR,0.0002
Assertion: assert_equal(pyro.param('alpha_q'), self.alpha_n, prec=0.2, msg='{} vs {}'.format(pyro.param('alpha_q').detach().cpu().numpy(), self.alpha_n.detach().cpu().numpy()))
Original runtime: 57.004
>>Getting original runtime
Optimization Iteration: 1
Running with params: {'param1': 25000, 'param2': 0.0002}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597920428/assert_10765117_25000_0.0002
Launching 30 jobs, 30 in parallel
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Timings: Avg: 56.230666666666664, Max: 57.65, Min: 54.84
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 56.230666666666664, Max: 57.65, Min: 54.84
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 56.230666666666664
Score: 56.230666666666664
Best-score: 56.230666666666664
Best-param: {'param1': 25000, 'param2': 0.0002}
>>Setting original runtime to 56.230666666666664
Optimization Iteration: 1
Running with params: {'param1': 400, 'param2': 0.0001461163805649431}
Lower learning rate.. returning... Best: 0.0002, Proposed: 0.0001461163805649431
Optimization Iteration: 2
Running with params: {'param1': 21000, 'param2': 7.888504499662736e-05}
Lower learning rate.. returning... Best: 0.0002, Proposed: 7.888504499662736e-05
Optimization Iteration: 3
Running with params: {'param1': 600, 'param2': 8.547172388296755e-05}
Lower learning rate.. returning... Best: 0.0002, Proposed: 8.547172388296755e-05
Optimization Iteration: 4
Running with params: {'param1': 2800, 'param2': 0.0007711798486229381}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597920428/assert_10765117_2800_0.0007711798486229381
Launching 30 jobs, 30 in parallel
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Timings: Avg: 8.138333333333334, Max: 8.26, Min: 7.96
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 8.138333333333334, Max: 8.26, Min: 7.96
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 8.138333333333334
Score: 8.138333333333334
Best-score: 8.138333333333334
Best-param: {'param1': 2800, 'param2': 0.0007711798486229381}
Optimization Iteration: 5
Running with params: {'param1': 2800, 'param2': 0.0003093968771585607}
Lower learning rate.. returning... Best: 0.0007711798486229381, Proposed: 0.0003093968771585607
Optimization Iteration: 6
Running with params: {'param1': 1000, 'param2': 0.004057421616394947}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597920428/assert_10765117_1000_0.004057421616394947
Launching 30 jobs, 30 in parallel
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Timings: Avg: 4.291333333333333, Max: 4.38, Min: 4.21
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 4.291333333333333, Max: 4.38, Min: 4.21
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 4.291333333333333
Score: 4.291333333333333
Best-score: 4.291333333333333
Best-param: {'param1': 1000, 'param2': 0.004057421616394947}
Optimization Iteration: 7
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Optimization Iteration: 8
Running with params: {'param1': 13200, 'param2': 0.029392269752937922}
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Optimization Iteration: 9
Running with params: {'param1': 9500, 'param2': 0.004004213067515584}
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Optimization Iteration: 10
Running with params: {'param1': 200, 'param2': 0.008781908155342475}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597920428/assert_10765117_200_0.008781908155342475
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.823333333333333, Max: 2.87, Min: 2.75
Passed tests : 0
Failed tests : 30
Half of samples failed, exiting...
All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 4.291333333333333
Best-param: {'param1': 1000, 'param2': 0.004057421616394947}
Optimization Iteration: 11
Running with params: {'param1': 200, 'param2': 0.00095784618243527}
Lower learning rate.. returning... Best: 0.004057421616394947, Proposed: 0.00095784618243527
Optimization Iteration: 12
Running with params: {'param1': 900, 'param2': 0.0013183701902283545}
Lower learning rate.. returning... Best: 0.004057421616394947, Proposed: 0.0013183701902283545
Optimization Iteration: 13
Running with params: {'param1': 100, 'param2': 0.011258689251466645}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597920428/assert_10765117_100_0.011258689251466645
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.622333333333333, Max: 2.66, Min: 2.56
Passed tests : 0
Failed tests : 30
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All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 4.291333333333333
Best-param: {'param1': 1000, 'param2': 0.004057421616394947}
Optimization Iteration: 14
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Optimization Iteration: 15
Running with params: {'param1': 300, 'param2': 9.757269438145456e-05}
Lower learning rate.. returning... Best: 0.004057421616394947, Proposed: 9.757269438145456e-05
Optimization Iteration: 16
Running with params: {'param1': 200, 'param2': 0.020686877927970894}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597920428/assert_10765117_200_0.020686877927970894
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.834000000000001, Max: 2.87, Min: 2.75
Passed tests : 0
Failed tests : 30
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All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 4.291333333333333
Best-param: {'param1': 1000, 'param2': 0.004057421616394947}
Optimization Iteration: 17
Running with params: {'param1': 500, 'param2': 0.0036730071878050678}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597920428/assert_10765117_500_0.0036730071878050678
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Timings: Avg: 3.4863333333333335, Max: 3.54, Min: 3.42
Passed tests : 0
Failed tests : 30
Half of samples failed, exiting...
All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 4.291333333333333
Best-param: {'param1': 1000, 'param2': 0.004057421616394947}
Optimization Iteration: 18
Running with params: {'param1': 9500, 'param2': 0.03584747200657706}
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Optimization Iteration: 20
Running with params: {'param1': 300, 'param2': 0.00010314541536162654}
Lower learning rate.. returning... Best: 0.004057421616394947, Proposed: 0.00010314541536162654
Optimization Iteration: 21
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Optimization Iteration: 25
Running with params: {'param1': 900, 'param2': 0.00022284584344645311}
Lower learning rate.. returning... Best: 0.004057421616394947, Proposed: 0.00022284584344645311
Optimization Iteration: 26
Running with params: {'param1': 700, 'param2': 0.0016147704216636224}
Lower learning rate.. returning... Best: 0.004057421616394947, Proposed: 0.0016147704216636224
Optimization Iteration: 27
Running with params: {'param1': 1500, 'param2': 0.01759536104201244}
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Optimization Iteration: 28
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Optimization Iteration: 33
Running with params: {'param1': 400, 'param2': 0.0004929408088147822}
Lower learning rate.. returning... Best: 0.004057421616394947, Proposed: 0.0004929408088147822
Optimization Iteration: 34
Running with params: {'param1': 23700, 'param2': 0.0002614534663582152}
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Optimization Iteration: 37
Running with params: {'param1': 100, 'param2': 0.049822149329896766}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597920428/assert_10765117_100_0.049822149329896766
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.594666666666667, Max: 2.64, Min: 2.51
Passed tests : 0
Failed tests : 30
Half of samples failed, exiting...
All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 4.291333333333333
Best-param: {'param1': 1000, 'param2': 0.004057421616394947}
Optimization Iteration: 38
Running with params: {'param1': 700, 'param2': 0.008789461661450716}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597920428/assert_10765117_700_0.008789461661450716
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.8836666666666675, Max: 3.96, Min: 3.7800000000000002
Passed tests : 0
Failed tests : 30
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All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 4.291333333333333
Best-param: {'param1': 1000, 'param2': 0.004057421616394947}
Optimization Iteration: 39
Running with params: {'param1': 1900, 'param2': 0.013488929270679543}
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Optimization Iteration: 46
Running with params: {'param1': 500, 'param2': 0.00016567976983538965}
Lower learning rate.. returning... Best: 0.004057421616394947, Proposed: 0.00016567976983538965
Optimization Iteration: 47
Running with params: {'param1': 300, 'param2': 0.007084913275376155}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597920428/assert_10765117_300_0.007084913275376155
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.8013333333333335, Max: 2.8400000000000003, Min: 2.74
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 2.8013333333333335, Max: 2.8400000000000003, Min: 2.74
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 2.8013333333333335
Score: 2.8013333333333335
Best-score: 2.8013333333333335
Best-param: {'param1': 300, 'param2': 0.007084913275376155}
Optimization Iteration: 48
Running with params: {'param1': 100, 'param2': 0.006956057273066092}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597920428/assert_10765117_100_0.006956057273066092
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.6430000000000002, Max: 2.6900000000000004, Min: 2.55
Passed tests : 0
Failed tests : 30
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All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 2.8013333333333335
Best-param: {'param1': 300, 'param2': 0.007084913275376155}
Optimization Iteration: 49
Running with params: {'param1': 200, 'param2': 0.02726477487589971}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597920428/assert_10765117_200_0.02726477487589971
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Timings: Avg: 2.8333333333333326, Max: 2.88, Min: 2.75
Passed tests : 0
Failed tests : 30
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All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 2.8013333333333335
Best-param: {'param1': 300, 'param2': 0.007084913275376155}
Optimization Iteration: 50
Running with params: {'param1': 300, 'param2': 0.013100435334035099}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597920428/assert_10765117_300_0.013100435334035099
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Timings: Avg: 3.0386666666666673, Max: 3.09, Min: 2.96
Passed tests : 0
Failed tests : 30
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Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 2.8013333333333335
Best-param: {'param1': 300, 'param2': 0.007084913275376155}
Upto iteration 50: {'param1': 300.0, 'param2': 0.007084913275376155}
Optimization Iteration: 51
Running with params: {'param1': 200, 'param2': 0.03687994830574423}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597920428/assert_10765117_200_0.03687994830574423
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Timings: Avg: 2.8123333333333327, Max: 2.8600000000000003, Min: 2.71
Passed tests : 0
Failed tests : 30
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Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 2.8013333333333335
Best-param: {'param1': 300, 'param2': 0.007084913275376155}
Optimization Iteration: 52
Running with params: {'param1': 100, 'param2': 0.020484266725897902}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597920428/assert_10765117_100_0.020484266725897902
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.632333333333334, Max: 2.68, Min: 2.56
Passed tests : 0
Failed tests : 30
Half of samples failed, exiting...
All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 2.8013333333333335
Best-param: {'param1': 300, 'param2': 0.007084913275376155}
Optimization Iteration: 53
Running with params: {'param1': 400, 'param2': 0.0475744218216873}
Higher iteration... returning...
Optimization Iteration: 54
Running with params: {'param1': 900, 'param2': 0.0075660182036242675}
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Optimization Iteration: 55
Running with params: {'param1': 600, 'param2': 0.00311771156244673}
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Optimization Iteration: 56
Running with params: {'param1': 300, 'param2': 0.0012607683700140892}
Lower learning rate.. returning... Best: 0.007084913275376155, Proposed: 0.0012607683700140892
Optimization Iteration: 57
Running with params: {'param1': 200, 'param2': 0.0022573076708400277}
Lower learning rate.. returning... Best: 0.007084913275376155, Proposed: 0.0022573076708400277
Optimization Iteration: 58
Running with params: {'param1': 100, 'param2': 0.010245544144830799}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597920428/assert_10765117_100_0.010245544144830799
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.632, Max: 2.68, Min: 2.56
Passed tests : 0
Failed tests : 30
Half of samples failed, exiting...
All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 2.8013333333333335
Best-param: {'param1': 300, 'param2': 0.007084913275376155}
Optimization Iteration: 59
Running with params: {'param1': 800, 'param2': 0.003945030640256074}
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Optimization Iteration: 62
Running with params: {'param1': 100, 'param2': 0.00499593335759983}
Lower learning rate.. returning... Best: 0.007084913275376155, Proposed: 0.00499593335759983
Optimization Iteration: 63
Running with params: {'param1': 2400, 'param2': 0.013920953144750784}
Higher iteration... returning...
Optimization Iteration: 64
Running with params: {'param1': 1100, 'param2': 0.00673974227914913}
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Optimization Iteration: 65
Running with params: {'param1': 1700, 'param2': 0.0019396726401008442}
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Optimization Iteration: 66
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Optimization Iteration: 67
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Optimization Iteration: 68
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Optimization Iteration: 72
Running with params: {'param1': 2400, 'param2': 0.002387992065646647}
Higher iteration... returning...
Optimization Iteration: 73
Running with params: {'param1': 300, 'param2': 0.00449340676874085}
Lower learning rate.. returning... Best: 0.007084913275376155, Proposed: 0.00449340676874085
Optimization Iteration: 74
Running with params: {'param1': 8100, 'param2': 0.0017018735249169823}
Higher iteration... returning...
Optimization Iteration: 75
Running with params: {'param1': 600, 'param2': 0.00034734965759662895}
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Optimization Iteration: 76
Running with params: {'param1': 200, 'param2': 7.227806745891298e-05}
Lower learning rate.. returning... Best: 0.007084913275376155, Proposed: 7.227806745891298e-05
Optimization Iteration: 77
Running with params: {'param1': 1800, 'param2': 0.0006008062281316133}
Higher iteration... returning...
Optimization Iteration: 78
Running with params: {'param1': 1400, 'param2': 0.0010881124446721388}
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Optimization Iteration: 79
Running with params: {'param1': 12000, 'param2': 0.008156317121452336}
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Optimization Iteration: 80
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Optimization Iteration: 85
Running with params: {'param1': 300, 'param2': 0.034029178382728585}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597920428/assert_10765117_300_0.034029178382728585
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.075, Max: 3.1300000000000003, Min: 3.02
Passed tests : 0
Failed tests : 30
Half of samples failed, exiting...
All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 2.8013333333333335
Best-param: {'param1': 300, 'param2': 0.007084913275376155}
Optimization Iteration: 86
Running with params: {'param1': 2600, 'param2': 0.0014437950347220986}
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Optimization Iteration: 90
Running with params: {'param1': 200, 'param2': 0.015006638630434204}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597920428/assert_10765117_200_0.015006638630434204
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.842333333333333, Max: 2.88, Min: 2.7699999999999996
Passed tests : 0
Failed tests : 30
Half of samples failed, exiting...
All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 2.8013333333333335
Best-param: {'param1': 300, 'param2': 0.007084913275376155}
Optimization Iteration: 91
Running with params: {'param1': 2000, 'param2': 0.009405959210493727}
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Higher iteration... returning...
Optimization Iteration: 93
Running with params: {'param1': 100, 'param2': 0.001865508942534651}
Lower learning rate.. returning... Best: 0.007084913275376155, Proposed: 0.001865508942534651
Optimization Iteration: 94
Running with params: {'param1': 600, 'param2': 0.0011131088625759525}
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Optimization Iteration: 97
Running with params: {'param1': 1000, 'param2': 0.004831888006671546}
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Optimization Iteration: 98
Running with params: {'param1': 19000, 'param2': 0.0002180566459288098}
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Optimization Iteration: 99
Running with params: {'param1': 1600, 'param2': 0.01707801658182694}
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Optimization Iteration: 100
Running with params: {'param1': 4400, 'param2': 0.01131921207743088}
Higher iteration... returning...
Upto iteration 100: {'param1': 300.0, 'param2': 0.007084913275376155}
Breaking...
{'param1': 300.0, 'param2': 0.007084913275376155}
Best score: 2.8013333333333335
Repeated params: 0
Trials: 101
Best param {'param1': 300.0, 'param2': 0.007084913275376155}
Reduction: 95.01813956797004%
Speedup: 20.07282246549262x
Optimizer time: 119.29851055145264
