Repo: pyro
Filename: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/projects/pyro/tests/integration_tests/test_conjugate_gaussian_models.py
ClassName: GaussianPyramidTests
Testname: test_elbo_nonreparameterized_two_layers_model_permuted
Params: param1,261,33,ParamType.ITER,10000
param2,261,40,ParamType.LR,0.0007
Assertion: assert_equal(0.0, max_log_sig_error, prec=0.05)
Original runtime: 85.121
>>Getting original runtime
Optimization Iteration: 1
Running with params: {'param1': 10000, 'param2': 0.0007}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597915066/assert_5917612_10000_0.0007
Launching 30 jobs, 30 in parallel
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Timings: Avg: 82.616, Max: 84.71000000000001, Min: 81.05
Passed tests : 30
Failed tests : 0
Converged: False
Convergence score: 2.576721996083142
Continuing to next batch...
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Timings: Avg: 82.824, Max: 85.26, Min: 81.05
Passed tests : 60
Failed tests : 0
Converged: True
Convergence score: 0.9953279829326578
updating...
Evaluating 60 values out of 60
Overall-timings: Avg: 82.824, Max: 85.26, Min: 81.05
Variance (8.723294598520911e-36) too small, using delta distribution
Variance (2.0718087933242817e-38) too small, using delta distribution
Variance (3.312276757678348e-38) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 82.824
Score: 82.824
Best-score: 82.824
Best-param: {'param1': 10000, 'param2': 0.0007}
>>Setting original runtime to 82.824
Optimization Iteration: 1
Running with params: {'param1': 4400, 'param2': 0.00012532484058974346}
Lower learning rate.. returning... Best: 0.0007, Proposed: 0.00012532484058974346
Optimization Iteration: 2
Running with params: {'param1': 3100, 'param2': 0.014923743523771705}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597915066/assert_5917612_3100_0.014923743523771705
Launching 30 jobs, 30 in parallel
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Timings: Avg: 26.93366666666667, Max: 27.48, Min: 26.39
Passed tests : 30
Failed tests : 0
Converged: False
Convergence score: 1.5831390065070252
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 26.998333333333335, Max: 27.57, Min: 26.39
Passed tests : 60
Failed tests : 0
Converged: False
Convergence score: 1.3952713636485992
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 26.96788888888889, Max: 27.67, Min: 26.310000000000002
Passed tests : 90
Failed tests : 0
Converged: False
Convergence score: 1.063044216531293
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 26.932666666666666, Max: 27.67, Min: 26.310000000000002
Passed tests : 120
Failed tests : 0
Converged: False
Convergence score: 1.1939811969827085
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 26.90506666666667, Max: 27.67, Min: 26.310000000000002
Passed tests : 150
Failed tests : 0
Converged: True
Convergence score: 0.8052658248492635
updating...
Evaluating 150 values out of 150
Overall-timings: Avg: 26.90506666666667, Max: 27.67, Min: 26.310000000000002
Variance (8.844833269598381e-34) too small, using delta distribution
Variance (4.2685138614234315e-37) too small, using delta distribution
Variance (6.234430205311139e-37) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 26.90506666666667
Score: 26.90506666666667
Best-score: 26.90506666666667
Best-param: {'param1': 3100, 'param2': 0.014923743523771705}
Optimization Iteration: 3
Running with params: {'param1': 100, 'param2': 0.020404739531071515}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597915066/assert_5917612_100_0.020404739531071515
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.1143333333333336, Max: 3.18, Min: 3.06
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: 26.90506666666667
Best-param: {'param1': 3100, 'param2': 0.014923743523771705}
Optimization Iteration: 4
Running with params: {'param1': 800, 'param2': 0.0005473312291957436}
Lower learning rate.. returning... Best: 0.014923743523771705, Proposed: 0.0005473312291957436
Optimization Iteration: 5
Running with params: {'param1': 200, 'param2': 0.00013592463499502013}
Lower learning rate.. returning... Best: 0.014923743523771705, Proposed: 0.00013592463499502013
Optimization Iteration: 6
Running with params: {'param1': 100, 'param2': 0.04375384266323728}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597915066/assert_5917612_100_0.04375384266323728
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.1249999999999996, Max: 3.17, Min: 3.06
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: 26.90506666666667
Best-param: {'param1': 3100, 'param2': 0.014923743523771705}
Optimization Iteration: 7
Running with params: {'param1': 2400, 'param2': 0.010284457390160524}
Lower learning rate.. returning... Best: 0.014923743523771705, Proposed: 0.010284457390160524
Optimization Iteration: 8
Running with params: {'param1': 600, 'param2': 0.00018313522248221328}
Lower learning rate.. returning... Best: 0.014923743523771705, Proposed: 0.00018313522248221328
Optimization Iteration: 9
Running with params: {'param1': 3500, 'param2': 0.017442359561550786}
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Optimization Iteration: 10
Running with params: {'param1': 3800, 'param2': 0.04737937652785574}
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Optimization Iteration: 11
Running with params: {'param1': 300, 'param2': 0.0001024130037260975}
Lower learning rate.. returning... Best: 0.014923743523771705, Proposed: 0.0001024130037260975
Optimization Iteration: 12
Running with params: {'param1': 6700, 'param2': 0.01164108536228109}
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Optimization Iteration: 13
Running with params: {'param1': 100, 'param2': 0.0005284393959547189}
Lower learning rate.. returning... Best: 0.014923743523771705, Proposed: 0.0005284393959547189
Optimization Iteration: 14
Running with params: {'param1': 3300, 'param2': 0.00023473417565245366}
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Optimization Iteration: 15
Running with params: {'param1': 2900, 'param2': 0.020121807727953498}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597915066/assert_5917612_2900_0.020121807727953498
Launching 30 jobs, 30 in parallel
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Timings: Avg: 25.285999999999998, Max: 25.790000000000003, Min: 24.85
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.767667751599946
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 25.285999999999998, Max: 25.790000000000003, Min: 24.85
Variance (6.924320003179734e-34) too small, using delta distribution
Variance (9.077951039950252e-36) too small, using delta distribution
Variance (3.621180754921778e-37) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 25.285999999999998
Score: 25.285999999999998
Best-score: 25.285999999999998
Best-param: {'param1': 2900, 'param2': 0.020121807727953498}
Optimization Iteration: 16
Running with params: {'param1': 6300, 'param2': 0.01373990406673648}
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Optimization Iteration: 17
Running with params: {'param1': 200, 'param2': 0.0003160991443008835}
Lower learning rate.. returning... Best: 0.020121807727953498, Proposed: 0.0003160991443008835
Optimization Iteration: 18
Running with params: {'param1': 300, 'param2': 0.0002063460606512286}
Lower learning rate.. returning... Best: 0.020121807727953498, Proposed: 0.0002063460606512286
Optimization Iteration: 19
Running with params: {'param1': 1100, 'param2': 0.00033538724900173333}
Lower learning rate.. returning... Best: 0.020121807727953498, Proposed: 0.00033538724900173333
Optimization Iteration: 20
Running with params: {'param1': 200, 'param2': 0.00024730476280230857}
Lower learning rate.. returning... Best: 0.020121807727953498, Proposed: 0.00024730476280230857
Optimization Iteration: 21
Running with params: {'param1': 1700, 'param2': 0.0028814597302440114}
Lower learning rate.. returning... Best: 0.020121807727953498, Proposed: 0.0028814597302440114
Optimization Iteration: 22
Running with params: {'param1': 1900, 'param2': 0.004185461769000917}
Lower learning rate.. returning... Best: 0.020121807727953498, Proposed: 0.004185461769000917
Optimization Iteration: 23
Running with params: {'param1': 8900, 'param2': 0.006392188704540244}
Higher iteration... returning...
Optimization Iteration: 24
Running with params: {'param1': 1300, 'param2': 0.0012851592124409302}
Lower learning rate.. returning... Best: 0.020121807727953498, Proposed: 0.0012851592124409302
Optimization Iteration: 25
Running with params: {'param1': 2400, 'param2': 0.02944569793882105}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597915066/assert_5917612_2400_0.02944569793882105
Launching 30 jobs, 30 in parallel
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Timings: Avg: 21.25166666666667, Max: 21.77, Min: 20.85
Passed tests : 30
Failed tests : 0
Converged: False
Convergence score: inf
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 21.222166666666666, Max: 21.77, Min: 20.81
Passed tests : 60
Failed tests : 0
Converged: True
Convergence score: 0.8398162654286352
updating...
Evaluating 60 values out of 60
Overall-timings: Avg: 21.222166666666666, Max: 21.77, Min: 20.81
Variance (3.3302538621695955e-34) too small, using delta distribution
Variance (3.4676700701356826e-38) too small, using delta distribution
Variance (9.949384185359841e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 21.222166666666666
Score: 21.222166666666666
Best-score: 21.222166666666666
Best-param: {'param1': 2400, 'param2': 0.02944569793882105}
Optimization Iteration: 26
Running with params: {'param1': 700, 'param2': 0.03355446127932266}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597915066/assert_5917612_700_0.03355446127932266
Launching 30 jobs, 30 in parallel
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Timings: Avg: 7.644999999999999, Max: 7.760000000000001, Min: 7.550000000000001
Passed tests : 30
Failed tests : 0
Converged: False
Convergence score: 1.6818357317441643
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 7.648166666666667, Max: 7.83, Min: 7.51
Passed tests : 60
Failed tests : 0
Converged: False
Convergence score: 1.03555692207037
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 7.637555555555555, Max: 7.83, Min: 7.4399999999999995
Passed tests : 90
Failed tests : 0
Converged: True
Convergence score: 0.4645114536212341
updating...
Evaluating 90 values out of 90
Overall-timings: Avg: 7.637555555555555, Max: 7.83, Min: 7.4399999999999995
Variance (1.352497677959439e-34) too small, using delta distribution
Variance (1.576207313969263e-36) too small, using delta distribution
Variance (6.108809042353264e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 7.637555555555555
Score: 7.637555555555555
Best-score: 7.637555555555555
Best-param: {'param1': 700, 'param2': 0.03355446127932266}
Optimization Iteration: 27
Running with params: {'param1': 700, 'param2': 0.029901841707947335}
Lower learning rate.. returning... Best: 0.03355446127932266, Proposed: 0.029901841707947335
Optimization Iteration: 28
Running with params: {'param1': 500, 'param2': 0.007015783859997176}
Lower learning rate.. returning... Best: 0.03355446127932266, Proposed: 0.007015783859997176
Optimization Iteration: 29
Running with params: {'param1': 400, 'param2': 0.0016408005313395008}
Lower learning rate.. returning... Best: 0.03355446127932266, Proposed: 0.0016408005313395008
Optimization Iteration: 30
Running with params: {'param1': 1600, 'param2': 0.034715379248157145}
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Optimization Iteration: 31
Running with params: {'param1': 900, 'param2': 0.029308897854904835}
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Optimization Iteration: 32
Running with params: {'param1': 4700, 'param2': 0.006687899393753864}
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Optimization Iteration: 33
Running with params: {'param1': 2300, 'param2': 0.04850917780185497}
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Optimization Iteration: 34
Running with params: {'param1': 1200, 'param2': 0.0009798704070513385}
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Optimization Iteration: 35
Running with params: {'param1': 500, 'param2': 0.0028431625198771103}
Lower learning rate.. returning... Best: 0.03355446127932266, Proposed: 0.0028431625198771103
Optimization Iteration: 36
Running with params: {'param1': 5300, 'param2': 0.004053659556239064}
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Optimization Iteration: 37
Running with params: {'param1': 8900, 'param2': 0.023508151632161963}
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Optimization Iteration: 38
Running with params: {'param1': 800, 'param2': 0.009530709977733004}
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Optimization Iteration: 39
Running with params: {'param1': 2500, 'param2': 0.03592930231774309}
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Optimization Iteration: 40
Running with params: {'param1': 300, 'param2': 0.014811199068091072}
Lower learning rate.. returning... Best: 0.03355446127932266, Proposed: 0.014811199068091072
Optimization Iteration: 41
Running with params: {'param1': 600, 'param2': 0.023769641401587552}
Lower learning rate.. returning... Best: 0.03355446127932266, Proposed: 0.023769641401587552
Optimization Iteration: 42
Running with params: {'param1': 2000, 'param2': 0.009157783027517337}
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Optimization Iteration: 43
Running with params: {'param1': 1500, 'param2': 0.04859296984039084}
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Optimization Iteration: 44
Running with params: {'param1': 100, 'param2': 0.004088566786571855}
Lower learning rate.. returning... Best: 0.03355446127932266, Proposed: 0.004088566786571855
Optimization Iteration: 45
Running with params: {'param1': 4000, 'param2': 0.017377849913746465}
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Optimization Iteration: 46
Running with params: {'param1': 1000, 'param2': 0.0005642822759418775}
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Optimization Iteration: 47
Running with params: {'param1': 400, 'param2': 0.011087607750251433}
Lower learning rate.. returning... Best: 0.03355446127932266, Proposed: 0.011087607750251433
Optimization Iteration: 48
Running with params: {'param1': 2800, 'param2': 0.0007946995402159105}
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Optimization Iteration: 49
Running with params: {'param1': 200, 'param2': 0.00194335664383839}
Lower learning rate.. returning... Best: 0.03355446127932266, Proposed: 0.00194335664383839
Optimization Iteration: 50
Running with params: {'param1': 800, 'param2': 0.005436515462455537}
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Upto iteration 50: {'param1': 700.0, 'param2': 0.03355446127932266}
Optimization Iteration: 51
Running with params: {'param1': 1400, 'param2': 0.040839997249501665}
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Optimization Iteration: 52
Running with params: {'param1': 100, 'param2': 0.0204747687707376}
Lower learning rate.. returning... Best: 0.03355446127932266, Proposed: 0.0204747687707376
Optimization Iteration: 53
Running with params: {'param1': 5500, 'param2': 0.00012380483221877134}
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Optimization Iteration: 54
Running with params: {'param1': 7600, 'param2': 0.012297184755402035}
Higher iteration... returning...
Optimization Iteration: 55
Running with params: {'param1': 400, 'param2': 0.027550676930609155}
Lower learning rate.. returning... Best: 0.03355446127932266, Proposed: 0.027550676930609155
Optimization Iteration: 56
Running with params: {'param1': 3400, 'param2': 0.002648800884012044}
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Optimization Iteration: 57
Running with params: {'param1': 200, 'param2': 0.00851243126094576}
Lower learning rate.. returning... Best: 0.03355446127932266, Proposed: 0.00851243126094576
Optimization Iteration: 58
Running with params: {'param1': 2000, 'param2': 0.01822564899639493}
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Optimization Iteration: 59
Running with params: {'param1': 700, 'param2': 0.014524031711737969}
Lower learning rate.. returning... Best: 0.03355446127932266, Proposed: 0.014524031711737969
Optimization Iteration: 60
Running with params: {'param1': 300, 'param2': 0.005455151893436797}
Lower learning rate.. returning... Best: 0.03355446127932266, Proposed: 0.005455151893436797
Optimization Iteration: 61
Running with params: {'param1': 1000, 'param2': 0.038020795419565066}
Higher iteration... returning...
Optimization Iteration: 62
Running with params: {'param1': 500, 'param2': 0.0033571066148863574}
Lower learning rate.. returning... Best: 0.03355446127932266, Proposed: 0.0033571066148863574
Optimization Iteration: 63
Running with params: {'param1': 1700, 'param2': 0.001423251782659104}
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Optimization Iteration: 64
Running with params: {'param1': 1200, 'param2': 0.005185623626145077}
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Optimization Iteration: 65
Running with params: {'param1': 4400, 'param2': 0.007769694809758223}
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Optimization Iteration: 66
Running with params: {'param1': 2500, 'param2': 0.02346550555539354}
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Optimization Iteration: 67
Running with params: {'param1': 3200, 'param2': 0.03318142506568332}
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Optimization Iteration: 68
Running with params: {'param1': 2800, 'param2': 0.04674768407882091}
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Optimization Iteration: 69
Running with params: {'param1': 6100, 'param2': 0.01698448948163734}
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Optimization Iteration: 70
Running with params: {'param1': 2200, 'param2': 0.012462851431838484}
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Optimization Iteration: 71
Running with params: {'param1': 8000, 'param2': 0.02707920706438992}
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Optimization Iteration: 72
Running with params: {'param1': 3900, 'param2': 0.021375171285857964}
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Optimization Iteration: 73
Running with params: {'param1': 600, 'param2': 0.04993421344179917}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597915066/assert_5917612_600_0.04993421344179917
Launching 30 jobs, 30 in parallel
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Timings: Avg: 6.862666666666668, Max: 7.01, Min: 6.74
Passed tests : 30
Failed tests : 0
Converged: False
Convergence score: 1.142183089632563
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 6.848333333333332, Max: 7.01, Min: 6.7
Passed tests : 60
Failed tests : 0
Converged: False
Convergence score: 1.4642133026077517
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 6.840333333333334, Max: 7.01, Min: 6.7
Passed tests : 90
Failed tests : 0
Converged: True
Convergence score: 0.9750161053097531
updating...
Evaluating 90 values out of 90
Overall-timings: Avg: 6.840333333333334, Max: 7.01, Min: 6.7
Variance (2.1666711874356403e-33) too small, using delta distribution
Variance (4.659496343555267e-36) too small, using delta distribution
Variance (1.5922593423821584e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 6.840333333333334
Score: 6.840333333333334
Best-score: 6.840333333333334
Best-param: {'param1': 600, 'param2': 0.04993421344179917}
Optimization Iteration: 74
Running with params: {'param1': 600, 'param2': 0.04957920397117519}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597915066/assert_5917612_600_0.04957920397117519
Launching 30 jobs, 30 in parallel
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Timings: Avg: 6.839333333333333, Max: 6.96, Min: 6.74
Passed tests : 30
Failed tests : 0
Converged: False
Convergence score: 2.5839471752635257
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 6.841333333333335, Max: 6.96, Min: 6.74
Passed tests : 60
Failed tests : 0
Converged: True
Convergence score: 0.8042698827915741
updating...
Evaluating 60 values out of 60
Overall-timings: Avg: 6.841333333333335, Max: 6.96, Min: 6.74
Variance (5.531431294442174e-33) too small, using delta distribution
Variance (7.145389348267127e-36) too small, using delta distribution
Variance (2.575899954101906e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 6.841333333333335
Score: 6.841333333333335
Best-score: 6.840333333333334
Best-param: {'param1': 600, 'param2': 0.04993421344179917}
Optimization Iteration: 75
Running with params: {'param1': 600, 'param2': 0.04332216609347576}
Lower learning rate.. returning... Best: 0.04993421344179917, Proposed: 0.04332216609347576
Optimization Iteration: 76
Running with params: {'param1': 200, 'param2': 0.03207734381187453}
Lower learning rate.. returning... Best: 0.04993421344179917, Proposed: 0.03207734381187453
Optimization Iteration: 77
Running with params: {'param1': 400, 'param2': 0.040730879419585676}
Lower learning rate.. returning... Best: 0.04993421344179917, Proposed: 0.040730879419585676
Optimization Iteration: 78
Running with params: {'param1': 300, 'param2': 0.0003394705605002842}
Lower learning rate.. returning... Best: 0.04993421344179917, Proposed: 0.0003394705605002842
Optimization Iteration: 79
Running with params: {'param1': 500, 'param2': 0.049455105023211494}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597915066/assert_5917612_500_0.049455105023211494
Launching 30 jobs, 30 in parallel
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Timings: Avg: 6.085333333333335, Max: 6.2700000000000005, Min: 5.95
Passed tests : 30
Failed tests : 0
Converged: False
Convergence score: 1.2909944487358056
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 6.080166666666666, Max: 6.2700000000000005, Min: 5.86
Passed tests : 60
Failed tests : 0
Converged: True
Convergence score: 0.8995824336397943
updating...
Evaluating 60 values out of 60
Overall-timings: Avg: 6.080166666666666, Max: 6.2700000000000005, Min: 5.86
Variance (6.770847460736376e-34) too small, using delta distribution
Variance (3.177784408238939e-34) too small, using delta distribution
Variance (7.984898026265635e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 6.080166666666666
Score: 6.080166666666666
Best-score: 6.080166666666666
Best-param: {'param1': 500, 'param2': 0.049455105023211494}
Optimization Iteration: 80
Running with params: {'param1': 500, 'param2': 0.016519723763250494}
Lower learning rate.. returning... Best: 0.049455105023211494, Proposed: 0.016519723763250494
Optimization Iteration: 81
Running with params: {'param1': 100, 'param2': 0.048572500254752904}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597915066/assert_5917612_100_0.048572500254752904
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.1440000000000006, Max: 3.1700000000000004, Min: 3.09
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: 6.080166666666666
Best-param: {'param1': 500, 'param2': 0.049455105023211494}
Optimization Iteration: 82
Running with params: {'param1': 600, 'param2': 0.025955220423547885}
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Optimization Iteration: 83
Running with params: {'param1': 900, 'param2': 0.010975562103357504}
Higher iteration... returning...
Optimization Iteration: 84
Running with params: {'param1': 300, 'param2': 0.000816499718884727}
Lower learning rate.. returning... Best: 0.049455105023211494, Proposed: 0.000816499718884727
Optimization Iteration: 85
Running with params: {'param1': 400, 'param2': 0.01336701880546627}
Lower learning rate.. returning... Best: 0.049455105023211494, Proposed: 0.01336701880546627
Optimization Iteration: 86
Running with params: {'param1': 200, 'param2': 0.0004115199841030447}
Lower learning rate.. returning... Best: 0.049455105023211494, Proposed: 0.0004115199841030447
Optimization Iteration: 87
Running with params: {'param1': 100, 'param2': 0.00016121543666719205}
Lower learning rate.. returning... Best: 0.049455105023211494, Proposed: 0.00016121543666719205
Optimization Iteration: 88
Running with params: {'param1': 700, 'param2': 0.019078552587302507}
Higher iteration... returning...
Optimization Iteration: 89
Running with params: {'param1': 1100, 'param2': 0.0021819581475382064}
Higher iteration... returning...
Optimization Iteration: 90
Running with params: {'param1': 800, 'param2': 0.009906203784329779}
Higher iteration... returning...
Optimization Iteration: 91
Running with params: {'param1': 300, 'param2': 0.036820037271710154}
Lower learning rate.. returning... Best: 0.049455105023211494, Proposed: 0.036820037271710154
Optimization Iteration: 92
Running with params: {'param1': 200, 'param2': 0.003324678354356094}
Lower learning rate.. returning... Best: 0.049455105023211494, Proposed: 0.003324678354356094
Optimization Iteration: 93
Running with params: {'param1': 100, 'param2': 0.02224562261658638}
Lower learning rate.. returning... Best: 0.049455105023211494, Proposed: 0.02224562261658638
Optimization Iteration: 94
Running with params: {'param1': 400, 'param2': 0.04980665424315802}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597915066/assert_5917612_400_0.04980665424315802
Launching 30 jobs, 30 in parallel
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Timings: Avg: 5.267333333333335, Max: 5.340000000000001, Min: 5.180000000000001
Passed tests : 30
Failed tests : 0
Converged: False
Convergence score: 2.763784882408162
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 5.268666666666666, Max: 5.3500000000000005, Min: 5.13
Passed tests : 60
Failed tests : 0
Converged: False
Convergence score: 1.5710728703813746
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 5.263333333333334, Max: 5.3500000000000005, Min: 5.109999999999999
Passed tests : 90
Failed tests : 0
Converged: True
Convergence score: 0.6967330142916177
updating...
Evaluating 90 values out of 90
Overall-timings: Avg: 5.263333333333334, Max: 5.3500000000000005, Min: 5.109999999999999
Variance (6.460224384636421e-34) too small, using delta distribution
Variance (9.558597618953143e-36) too small, using delta distribution
Variance (1.5935523861680628e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 5.263333333333334
Score: 5.263333333333334
Best-score: 5.263333333333334
Best-param: {'param1': 400, 'param2': 0.04980665424315802}
Optimization Iteration: 95
Running with params: {'param1': 300, 'param2': 0.00624877911049328}
Lower learning rate.. returning... Best: 0.04980665424315802, Proposed: 0.00624877911049328
Optimization Iteration: 96
Running with params: {'param1': 400, 'param2': 0.004762858266846419}
Lower learning rate.. returning... Best: 0.04980665424315802, Proposed: 0.004762858266846419
Optimization Iteration: 97
Running with params: {'param1': 500, 'param2': 0.008086359771047715}
Higher iteration... returning...
Optimization Iteration: 98
Running with params: {'param1': 200, 'param2': 0.015728382760761477}
Lower learning rate.. returning... Best: 0.04980665424315802, Proposed: 0.015728382760761477
Optimization Iteration: 99
Running with params: {'param1': 1400, 'param2': 0.03025143614729896}
Higher iteration... returning...
Optimization Iteration: 100
Running with params: {'param1': 900, 'param2': 0.04136004964922913}
Higher iteration... returning...
Upto iteration 100: {'param1': 400.0, 'param2': 0.04980665424315802}
Optimization Iteration: 101
Running with params: {'param1': 100, 'param2': 0.0011045090538438465}
Lower learning rate.. returning... Best: 0.04980665424315802, Proposed: 0.0011045090538438465
Optimization Iteration: 102
Running with params: {'param1': 500, 'param2': 0.00010570652648441858}
Higher iteration... returning...
Optimization Iteration: 103
Running with params: {'param1': 200, 'param2': 0.019584971160986855}
Lower learning rate.. returning... Best: 0.04980665424315802, Proposed: 0.019584971160986855
Optimization Iteration: 104
Running with params: {'param1': 300, 'param2': 0.0016802630682570309}
Lower learning rate.. returning... Best: 0.04980665424315802, Proposed: 0.0016802630682570309
Optimization Iteration: 105
Running with params: {'param1': 1200, 'param2': 0.049841433330133716}
Higher iteration... returning...
Optimization Iteration: 106
Running with params: {'param1': 200, 'param2': 0.026627229754219238}
Lower learning rate.. returning... Best: 0.04980665424315802, Proposed: 0.026627229754219238
Optimization Iteration: 107
Running with params: {'param1': 700, 'param2': 0.014235435404491958}
Higher iteration... returning...
Optimization Iteration: 108
Running with params: {'param1': 400, 'param2': 0.0005689314298882601}
Lower learning rate.. returning... Best: 0.04980665424315802, Proposed: 0.0005689314298882601
Optimization Iteration: 109
Running with params: {'param1': 1800, 'param2': 0.033829282848225554}
Higher iteration... returning...
Optimization Iteration: 110
Running with params: {'param1': 600, 'param2': 0.03920411690736471}
Higher iteration... returning...
Optimization Iteration: 111
Running with params: {'param1': 100, 'param2': 0.025649702621846383}
Lower learning rate.. returning... Best: 0.04980665424315802, Proposed: 0.025649702621846383
Optimization Iteration: 112
Running with params: {'param1': 900, 'param2': 0.00022028321674283014}
Higher iteration... returning...
Optimization Iteration: 113
Running with params: {'param1': 800, 'param2': 0.00691114424085578}
Higher iteration... returning...
Optimization Iteration: 114
Running with params: {'param1': 400, 'param2': 0.003462807320340529}
Lower learning rate.. returning... Best: 0.04980665424315802, Proposed: 0.003462807320340529
Optimization Iteration: 115
Running with params: {'param1': 300, 'param2': 0.011993417503502713}
Lower learning rate.. returning... Best: 0.04980665424315802, Proposed: 0.011993417503502713
Optimization Iteration: 116
Running with params: {'param1': 100, 'param2': 0.04357900918236225}
Lower learning rate.. returning... Best: 0.04980665424315802, Proposed: 0.04357900918236225
Optimization Iteration: 117
Running with params: {'param1': 1500, 'param2': 0.010369595227341762}
Higher iteration... returning...
Optimization Iteration: 118
Running with params: {'param1': 1100, 'param2': 0.03003696489034366}
Higher iteration... returning...
Optimization Iteration: 119
Running with params: {'param1': 500, 'param2': 0.0025030082589591316}
Higher iteration... returning...
Optimization Iteration: 120
Running with params: {'param1': 700, 'param2': 0.0006757652433106758}
Higher iteration... returning...
Optimization Iteration: 121
Running with params: {'param1': 100, 'param2': 0.008693973631940062}
Lower learning rate.. returning... Best: 0.04980665424315802, Proposed: 0.008693973631940062
Optimization Iteration: 122
Running with params: {'param1': 200, 'param2': 0.022088974159201087}
Lower learning rate.. returning... Best: 0.04980665424315802, Proposed: 0.022088974159201087
Optimization Iteration: 123
Running with params: {'param1': 1300, 'param2': 0.036486709169105055}
Higher iteration... returning...
Optimization Iteration: 124
Running with params: {'param1': 300, 'param2': 0.006029128348916152}
Lower learning rate.. returning... Best: 0.04980665424315802, Proposed: 0.006029128348916152
Optimization Iteration: 125
Running with params: {'param1': 1000, 'param2': 0.004711175947714082}
Higher iteration... returning...
Optimization Iteration: 126
Running with params: {'param1': 600, 'param2': 0.007628329909990525}
Higher iteration... returning...
Optimization Iteration: 127
Running with params: {'param1': 400, 'param2': 0.0002961869773070241}
Lower learning rate.. returning... Best: 0.04980665424315802, Proposed: 0.0002961869773070241
Optimization Iteration: 128
Running with params: {'param1': 200, 'param2': 0.024165952837124315}
Lower learning rate.. returning... Best: 0.04980665424315802, Proposed: 0.024165952837124315
Optimization Iteration: 129
Running with params: {'param1': 500, 'param2': 0.016692558662776042}
Higher iteration... returning...
Optimization Iteration: 130
Running with params: {'param1': 300, 'param2': 0.049391249474286976}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597915066/assert_5917612_300_0.049391249474286976
Launching 30 jobs, 30 in parallel
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Timings: Avg: 4.504333333333333, Max: 4.56, Min: 4.46
Passed tests : 30
Failed tests : 0
Converged: False
Convergence score: 3.281321764951676
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 4.493, Max: 4.56, Min: 4.33
Passed tests : 60
Failed tests : 0
Converged: True
Convergence score: 0.6419455311392144
updating...
Evaluating 60 values out of 60
Overall-timings: Avg: 4.493, Max: 4.56, Min: 4.33
Variance (1.593029944234364e-34) too small, using delta distribution
Variance (5.679988703173293e-36) too small, using delta distribution
Variance (5.733904710731009e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 4.493
Score: 4.493
Best-score: 4.493
Best-param: {'param1': 300, 'param2': 0.049391249474286976}
Optimization Iteration: 131
Running with params: {'param1': 100, 'param2': 0.03066009901357653}
Lower learning rate.. returning... Best: 0.049391249474286976, Proposed: 0.03066009901357653
Optimization Iteration: 132
Running with params: {'param1': 200, 'param2': 0.019149308408028788}
Lower learning rate.. returning... Best: 0.049391249474286976, Proposed: 0.019149308408028788
Optimization Iteration: 133
Running with params: {'param1': 100, 'param2': 0.0011728597394840016}
Lower learning rate.. returning... Best: 0.049391249474286976, Proposed: 0.0011728597394840016
Optimization Iteration: 134
Running with params: {'param1': 300, 'param2': 0.04495770862009166}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597915066/assert_5917612_300_0.04495770862009166
Launching 30 jobs, 30 in parallel
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Timings: Avg: 4.499333333333333, Max: 4.58, Min: 4.41
Passed tests : 30
Failed tests : 0
Converged: False
Convergence score: 22.0
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Launching 30 jobs, 30 in parallel
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Timings: Avg: 4.489999999999999, Max: 4.58, Min: 4.34
Passed tests : 60
Failed tests : 0
Converged: True
Convergence score: 0.6033573689060079
updating...
Evaluating 60 values out of 60
Overall-timings: Avg: 4.489999999999999, Max: 4.58, Min: 4.34
Variance (6.966951264969556e-34) too small, using delta distribution
Variance (8.46355932592047e-36) too small, using delta distribution
Variance (8.86228700971939e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 4.489999999999999
Score: 4.489999999999999
Best-score: 4.489999999999999
Best-param: {'param1': 300, 'param2': 0.04495770862009166}
Optimization Iteration: 135
Running with params: {'param1': 100, 'param2': 0.012999533086988554}
Lower learning rate.. returning... Best: 0.04495770862009166, Proposed: 0.012999533086988554
Optimization Iteration: 136
Running with params: {'param1': 200, 'param2': 0.0444590525809156}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597915066/assert_5917612_200_0.0444590525809156
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.691333333333333, Max: 3.75, Min: 3.6399999999999997
Passed tests : 30
Failed tests : 0
Converged: False
Convergence score: 5.208688393694587
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Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.691333333333333, Max: 3.75, Min: 3.53
Passed tests : 60
Failed tests : 0
Converged: True
Convergence score: 0.9504979612887744
updating...
Evaluating 60 values out of 60
Overall-timings: Avg: 3.691333333333333, Max: 3.75, Min: 3.53
Variance (1.8198533341690326e-33) too small, using delta distribution
Variance (1.6068517986427827e-36) too small, using delta distribution
Variance (1.246807674772173e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 3.691333333333333
Score: 3.691333333333333
Best-score: 3.691333333333333
Best-param: {'param1': 200, 'param2': 0.0444590525809156}
Optimization Iteration: 137
Running with params: {'param1': 100, 'param2': 0.003742478203133328}
Lower learning rate.. returning... Best: 0.0444590525809156, Proposed: 0.003742478203133328
Optimization Iteration: 138
Running with params: {'param1': 100, 'param2': 0.00017805093452304244}
Lower learning rate.. returning... Best: 0.0444590525809156, Proposed: 0.00017805093452304244
Optimization Iteration: 139
Running with params: {'param1': 100, 'param2': 0.0004823448883851282}
Lower learning rate.. returning... Best: 0.0444590525809156, Proposed: 0.0004823448883851282
Optimization Iteration: 140
Running with params: {'param1': 200, 'param2': 0.014977977670420277}
Lower learning rate.. returning... Best: 0.0444590525809156, Proposed: 0.014977977670420277
Optimization Iteration: 141
Running with params: {'param1': 100, 'param2': 0.04333490666566486}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597915066/assert_5917612_100_0.04333490666566486
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.161666666666667, Max: 3.21, Min: 3.08
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: 3.691333333333333
Best-param: {'param1': 200, 'param2': 0.0444590525809156}
Optimization Iteration: 142
Running with params: {'param1': 200, 'param2': 0.009114962140834688}
Lower learning rate.. returning... Best: 0.0444590525809156, Proposed: 0.009114962140834688
Optimization Iteration: 143
Running with params: {'param1': 200, 'param2': 0.0008920966097801082}
Lower learning rate.. returning... Best: 0.0444590525809156, Proposed: 0.0008920966097801082
Optimization Iteration: 144
Running with params: {'param1': 300, 'param2': 0.00208604241652674}
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Optimization Iteration: 145
Running with params: {'param1': 100, 'param2': 0.011263795130080221}
Lower learning rate.. returning... Best: 0.0444590525809156, Proposed: 0.011263795130080221
Optimization Iteration: 146
Running with params: {'param1': 300, 'param2': 0.03332594791145485}
Higher iteration... returning...
Optimization Iteration: 147
Running with params: {'param1': 200, 'param2': 0.037446075471633686}
Lower learning rate.. returning... Best: 0.0444590525809156, Proposed: 0.037446075471633686
Optimization Iteration: 148
Running with params: {'param1': 300, 'param2': 0.04478561572010246}
Higher iteration... returning...
Optimization Iteration: 149
Running with params: {'param1': 400, 'param2': 0.028524356076292945}
Higher iteration... returning...
Optimization Iteration: 150
Running with params: {'param1': 200, 'param2': 0.023158062667089828}
Lower learning rate.. returning... Best: 0.0444590525809156, Proposed: 0.023158062667089828
Upto iteration 150: {'param1': 200.0, 'param2': 0.0444590525809156}
Optimization Iteration: 151
Running with params: {'param1': 200, 'param2': 0.020214401550615213}
Lower learning rate.. returning... Best: 0.0444590525809156, Proposed: 0.020214401550615213
Optimization Iteration: 152
Running with params: {'param1': 400, 'param2': 0.0266196594057339}
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Optimization Iteration: 153
Running with params: {'param1': 300, 'param2': 0.017838670099351566}
Higher iteration... returning...
Optimization Iteration: 154
Running with params: {'param1': 100, 'param2': 0.04957535449690844}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597915066/assert_5917612_100_0.04957535449690844
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.1103333333333336, Max: 3.1500000000000004, Min: 3.0500000000000003
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: 3.691333333333333
Best-param: {'param1': 200, 'param2': 0.0444590525809156}
Optimization Iteration: 155
Running with params: {'param1': 300, 'param2': 0.04201035140150232}
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Optimization Iteration: 156
Running with params: {'param1': 200, 'param2': 0.03251322231231816}
Lower learning rate.. returning... Best: 0.0444590525809156, Proposed: 0.03251322231231816
Optimization Iteration: 157
Running with params: {'param1': 100, 'param2': 0.03814420530423331}
Lower learning rate.. returning... Best: 0.0444590525809156, Proposed: 0.03814420530423331
Optimization Iteration: 158
Running with params: {'param1': 200, 'param2': 0.049275115045383046}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597915066/assert_5917612_200_0.049275115045383046
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.7030000000000003, Max: 3.75, Min: 3.64
Passed tests : 30
Failed tests : 0
Converged: False
Convergence score: 1.6096207777760925
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.705333333333334, Max: 3.7600000000000002, Min: 3.62
Passed tests : 60
Failed tests : 0
Converged: True
Convergence score: 0.9830508474576272
updating...
Evaluating 60 values out of 60
Overall-timings: Avg: 3.705333333333334, Max: 3.7600000000000002, Min: 3.62
Variance (1.5054853942883245e-33) too small, using delta distribution
Variance (4.921598931167781e-36) too small, using delta distribution
Variance (4.0305350300994596e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 3.705333333333334
Score: 3.705333333333334
Best-score: 3.691333333333333
Best-param: {'param1': 200, 'param2': 0.0444590525809156}
Optimization Iteration: 159
Running with params: {'param1': 100, 'param2': 0.02103839418506387}
Lower learning rate.. returning... Best: 0.0444590525809156, Proposed: 0.02103839418506387
Optimization Iteration: 160
Running with params: {'param1': 100, 'param2': 0.015514526302823297}
Lower learning rate.. returning... Best: 0.0444590525809156, Proposed: 0.015514526302823297
Optimization Iteration: 161
Running with params: {'param1': 200, 'param2': 0.02569076943033429}
Lower learning rate.. returning... Best: 0.0444590525809156, Proposed: 0.02569076943033429
Optimization Iteration: 162
Running with params: {'param1': 100, 'param2': 0.03545303138795102}
Lower learning rate.. returning... Best: 0.0444590525809156, Proposed: 0.03545303138795102
Optimization Iteration: 163
Running with params: {'param1': 200, 'param2': 0.045402242594956836}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597915066/assert_5917612_200_0.045402242594956836
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.6926666666666668, Max: 3.75, Min: 3.6
Passed tests : 30
Failed tests : 0
Converged: False
Convergence score: 2.280752297933222
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.692166666666666, Max: 3.75, Min: 3.6
Passed tests : 60
Failed tests : 0
Converged: False
Convergence score: 1.0020635252417482
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.6857777777777776, Max: 3.75, Min: 3.6
Passed tests : 90
Failed tests : 0
Converged: True
Convergence score: 0.9419372808393985
updating...
Evaluating 90 values out of 90
Overall-timings: Avg: 3.6857777777777776, Max: 3.75, Min: 3.6
Variance (1.4851059793386019e-33) too small, using delta distribution
Variance (1.5290242768320903e-36) too small, using delta distribution
Variance (1.315639399536989e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 3.6857777777777776
Score: 3.6857777777777776
Best-score: 3.6857777777777776
Best-param: {'param1': 200, 'param2': 0.045402242594956836}
Optimization Iteration: 164
Running with params: {'param1': 100, 'param2': 0.0017068767698994191}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.0017068767698994191
Optimization Iteration: 165
Running with params: {'param1': 200, 'param2': 0.030526911772987754}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.030526911772987754
Optimization Iteration: 166
Running with params: {'param1': 100, 'param2': 0.012497830151417871}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.012497830151417871
Optimization Iteration: 167
Running with params: {'param1': 100, 'param2': 0.01766605247121293}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.01766605247121293
Optimization Iteration: 168
Running with params: {'param1': 200, 'param2': 0.013748598007720492}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.013748598007720492
Optimization Iteration: 169
Running with params: {'param1': 200, 'param2': 0.04295394734914774}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597915066/assert_5917612_200_0.04295394734914774
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.709333333333333, Max: 3.7800000000000002, Min: 3.66
Passed tests : 30
Failed tests : 0
Converged: False
Convergence score: 2.825690313649578
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.708166666666666, Max: 3.7800000000000002, Min: 3.62
Passed tests : 60
Failed tests : 0
Converged: False
Convergence score: 1.1033469507836349
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.6987777777777775, Max: 3.7800000000000002, Min: 3.61
Passed tests : 90
Failed tests : 0
Converged: False
Convergence score: 1.03914077974857
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.6975000000000002, Max: 3.7800000000000002, Min: 3.56
Passed tests : 120
Failed tests : 0
Converged: False
Convergence score: 1.1238015148865468
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.694399999999999, Max: 3.7800000000000002, Min: 3.5500000000000003
Passed tests : 150
Failed tests : 0
Converged: True
Convergence score: 0.6669476111538426
updating...
Evaluating 150 values out of 150
Overall-timings: Avg: 3.694399999999999, Max: 3.7800000000000002, Min: 3.5500000000000003
Variance (1.414766069199584e-33) too small, using delta distribution
Variance (1.5521031492532346e-36) too small, using delta distribution
Variance (2.1252766436607463e-36) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 3.694399999999999
Score: 3.694399999999999
Best-score: 3.6857777777777776
Best-param: {'param1': 200, 'param2': 0.045402242594956836}
Optimization Iteration: 170
Running with params: {'param1': 100, 'param2': 0.023720977537895923}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.023720977537895923
Optimization Iteration: 171
Running with params: {'param1': 100, 'param2': 0.005925831357209087}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.005925831357209087
Optimization Iteration: 172
Running with params: {'param1': 200, 'param2': 0.007642947159978088}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.007642947159978088
Optimization Iteration: 173
Running with params: {'param1': 200, 'param2': 0.02796075995414929}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.02796075995414929
Optimization Iteration: 174
Running with params: {'param1': 100, 'param2': 0.01014524358970794}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.01014524358970794
Optimization Iteration: 175
Running with params: {'param1': 100, 'param2': 0.04046455868324503}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.04046455868324503
Optimization Iteration: 176
Running with params: {'param1': 100, 'param2': 0.0030619957403136737}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.0030619957403136737
Optimization Iteration: 177
Running with params: {'param1': 200, 'param2': 0.004711232574400157}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.004711232574400157
Optimization Iteration: 178
Running with params: {'param1': 100, 'param2': 0.02067703357418399}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.02067703357418399
Optimization Iteration: 179
Running with params: {'param1': 200, 'param2': 0.03577030517057723}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.03577030517057723
Optimization Iteration: 180
Running with params: {'param1': 100, 'param2': 0.014960290840078364}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.014960290840078364
Optimization Iteration: 181
Running with params: {'param1': 300, 'param2': 0.0001274787901972946}
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Optimization Iteration: 182
Running with params: {'param1': 200, 'param2': 0.0013894867053047407}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.0013894867053047407
Optimization Iteration: 183
Running with params: {'param1': 400, 'param2': 0.04874905238035979}
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Optimization Iteration: 184
Running with params: {'param1': 200, 'param2': 0.01795560372677913}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.01795560372677913
Optimization Iteration: 185
Running with params: {'param1': 100, 'param2': 0.032224279380227976}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.032224279380227976
Optimization Iteration: 186
Running with params: {'param1': 100, 'param2': 0.02392780795634388}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.02392780795634388
Optimization Iteration: 187
Running with params: {'param1': 300, 'param2': 0.0024167198790655984}
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Running with params: {'param1': 500, 'param2': 0.0002745305877522099}
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Optimization Iteration: 189
Running with params: {'param1': 200, 'param2': 0.00035483427659909606}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.00035483427659909606
Optimization Iteration: 190
Running with params: {'param1': 9700, 'param2': 0.00938311337085525}
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Optimization Iteration: 191
Running with params: {'param1': 100, 'param2': 0.04450054756658343}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597915066/assert_5917612_100_0.04450054756658343
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.1176666666666666, Max: 3.17, Min: 3.04
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: 3.6857777777777776
Best-param: {'param1': 200, 'param2': 0.045402242594956836}
Optimization Iteration: 192
Running with params: {'param1': 400, 'param2': 0.004084921582342784}
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Running with params: {'param1': 300, 'param2': 0.011521776987558262}
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Optimization Iteration: 194
Running with params: {'param1': 100, 'param2': 0.02800041572573801}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.02800041572573801
Optimization Iteration: 195
Running with params: {'param1': 100, 'param2': 0.00685814124856379}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.00685814124856379
Optimization Iteration: 196
Running with params: {'param1': 200, 'param2': 0.04938597110829946}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597915066/assert_5917612_200_0.04938597110829946
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.680666666666667, Max: 3.73, Min: 3.61
Passed tests : 30
Failed tests : 0
Converged: False
Convergence score: 2.999504255139968
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.6850000000000005, Max: 3.75, Min: 3.61
Passed tests : 60
Failed tests : 0
Converged: False
Convergence score: 1.7286343531297075
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.68388888888889, Max: 3.75, Min: 3.52
Passed tests : 90
Failed tests : 0
Converged: False
Convergence score: 1.419917148951303
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.6889166666666666, Max: 3.77, Min: 3.52
Passed tests : 120
Failed tests : 0
Converged: True
Convergence score: 0.95687251024786
updating...
Evaluating 120 values out of 120
Overall-timings: Avg: 3.6889166666666666, Max: 3.77, Min: 3.52
Variance (1.624852927299825e-33) too small, using delta distribution
Variance (2.335315443633611e-36) too small, using delta distribution
Variance (8.384722838125322e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 3.6889166666666666
Score: 3.6889166666666666
Best-score: 3.6857777777777776
Best-param: {'param1': 200, 'param2': 0.045402242594956836}
Optimization Iteration: 197
Running with params: {'param1': 300, 'param2': 0.03847821645465751}
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Optimization Iteration: 198
Running with params: {'param1': 200, 'param2': 0.021424388287495013}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.021424388287495013
Optimization Iteration: 199
Running with params: {'param1': 500, 'param2': 0.015956594158514664}
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Running with params: {'param1': 800, 'param2': 0.03329930569746906}
Higher iteration... returning...
Upto iteration 200: {'param1': 200.0, 'param2': 0.045402242594956836}
Optimization Iteration: 201
Running with params: {'param1': 100, 'param2': 0.0006422560051361544}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.0006422560051361544
Optimization Iteration: 202
Running with params: {'param1': 600, 'param2': 0.02873965855303821}
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Optimization Iteration: 203
Running with params: {'param1': 200, 'param2': 0.013610858528714244}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.013610858528714244
Optimization Iteration: 204
Running with params: {'param1': 100, 'param2': 0.0246700153384282}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.0246700153384282
Optimization Iteration: 205
Running with params: {'param1': 300, 'param2': 0.04231332800282717}
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Running with params: {'param1': 400, 'param2': 0.000146541396025773}
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Optimization Iteration: 207
Running with params: {'param1': 100, 'param2': 0.01822451382103945}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.01822451382103945
Optimization Iteration: 208
Running with params: {'param1': 200, 'param2': 0.04929285948463098}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597915066/assert_5917612_200_0.04929285948463098
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.7, Max: 3.75, Min: 3.6599999999999997
Passed tests : 30
Failed tests : 0
Converged: False
Convergence score: 1.9978068270320009
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.6921666666666666, Max: 3.76, Min: 3.62
Passed tests : 60
Failed tests : 0
Converged: False
Convergence score: 1.2198830982161073
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.690444444444445, Max: 3.76, Min: 3.57
Passed tests : 90
Failed tests : 0
Converged: True
Convergence score: 0.9835691820837236
updating...
Evaluating 90 values out of 90
Overall-timings: Avg: 3.690444444444445, Max: 3.76, Min: 3.57
Variance (1.0621704260998145e-33) too small, using delta distribution
Variance (4.9103664295932565e-36) too small, using delta distribution
Variance (2.5557859396545024e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 3.690444444444445
Score: 3.690444444444445
Best-score: 3.6857777777777776
Best-param: {'param1': 200, 'param2': 0.045402242594956836}
Optimization Iteration: 209
Running with params: {'param1': 100, 'param2': 0.04881872808538543}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597915066/assert_5917612_100_0.04881872808538543
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.1153333333333335, Max: 3.1500000000000004, Min: 3.03
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: 3.6857777777777776
Best-param: {'param1': 200, 'param2': 0.045402242594956836}
Optimization Iteration: 210
Running with params: {'param1': 100, 'param2': 0.00826450043183386}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.00826450043183386
Optimization Iteration: 211
Running with params: {'param1': 200, 'param2': 0.005411330324345449}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.005411330324345449
Optimization Iteration: 212
Running with params: {'param1': 2200, 'param2': 0.00044700577014263775}
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Optimization Iteration: 217
Running with params: {'param1': 200, 'param2': 0.0383609663438993}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.0383609663438993
Optimization Iteration: 218
Running with params: {'param1': 100, 'param2': 0.010407233003166962}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.010407233003166962
Optimization Iteration: 219
Running with params: {'param1': 400, 'param2': 0.019653199186891245}
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Running with params: {'param1': 200, 'param2': 0.0010881993319661427}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.0010881993319661427
Optimization Iteration: 222
Running with params: {'param1': 600, 'param2': 0.00189871932608606}
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Running with params: {'param1': 100, 'param2': 0.012470004672511711}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.012470004672511711
Optimization Iteration: 224
Running with params: {'param1': 300, 'param2': 0.002960952822574278}
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Running with params: {'param1': 3600, 'param2': 0.015771870007981616}
Higher iteration... returning...
Optimization Iteration: 226
Running with params: {'param1': 200, 'param2': 0.03403360563965531}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.03403360563965531
Optimization Iteration: 227
Running with params: {'param1': 100, 'param2': 0.04996284286761784}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597915066/assert_5917612_100_0.04996284286761784
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.1123333333333334, Max: 3.1700000000000004, 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: 3.6857777777777776
Best-param: {'param1': 200, 'param2': 0.045402242594956836}
Optimization Iteration: 228
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Optimization Iteration: 229
Running with params: {'param1': 100, 'param2': 0.040557694728099204}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.040557694728099204
Optimization Iteration: 230
Running with params: {'param1': 400, 'param2': 0.0001091314641076248}
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Running with params: {'param1': 200, 'param2': 0.00020519292307473328}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.00020519292307473328
Optimization Iteration: 233
Running with params: {'param1': 100, 'param2': 0.018999035722958958}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.018999035722958958
Optimization Iteration: 234
Running with params: {'param1': 200, 'param2': 0.01149067141228387}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.01149067141228387
Optimization Iteration: 235
Running with params: {'param1': 100, 'param2': 0.014032382460195586}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.014032382460195586
Optimization Iteration: 236
Running with params: {'param1': 500, 'param2': 0.02182483341407476}
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Running with params: {'param1': 100, 'param2': 0.00727480989063541}
Lower learning rate.. returning... Best: 0.045402242594956836, Proposed: 0.00727480989063541
Optimization Iteration: 238
Running with params: {'param1': 900, 'param2': 0.008544281941589007}
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Running with params: {'param1': 400, 'param2': 0.01675218548664492}
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Running with params: {'param1': 300, 'param2': 0.006226621465842856}
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Optimization Iteration: 241
Running with params: {'param1': 200, 'param2': 0.043560620717290076}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597915066/assert_5917612_200_0.043560620717290076
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.675000000000001, Max: 3.73, Min: 3.63
Passed tests : 30
Failed tests : 0
Converged: False
Convergence score: 2.06212244866511
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.6808333333333327, Max: 3.75, Min: 3.63
Passed tests : 60
Failed tests : 0
Converged: False
Convergence score: 1.0618229788573674
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.6781111111111113, Max: 3.75, Min: 3.54
Passed tests : 90
Failed tests : 0
Converged: True
Convergence score: 0.9525607188527245
updating...
Evaluating 90 values out of 90
Overall-timings: Avg: 3.6781111111111113, Max: 3.75, Min: 3.54
Variance (6.551839802129842e-34) too small, using delta distribution
Variance (1.4239154902960643e-36) too small, using delta distribution
Variance (2.0536457729730346e-36) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 3.6781111111111113
Score: 3.6781111111111113
Best-score: 3.6781111111111113
Best-param: {'param1': 200, 'param2': 0.043560620717290076}
Optimization Iteration: 242
Running with params: {'param1': 200, 'param2': 0.003663249779584432}
Lower learning rate.. returning... Best: 0.043560620717290076, Proposed: 0.003663249779584432
Optimization Iteration: 243
Running with params: {'param1': 100, 'param2': 0.0364785488425763}
Lower learning rate.. returning... Best: 0.043560620717290076, Proposed: 0.0364785488425763
Optimization Iteration: 244
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Lower learning rate.. returning... Best: 0.043560620717290076, Proposed: 0.03198693867677958
Optimization Iteration: 249
Running with params: {'param1': 100, 'param2': 0.02319391108043405}
Lower learning rate.. returning... Best: 0.043560620717290076, Proposed: 0.02319391108043405
Optimization Iteration: 250
Running with params: {'param1': 200, 'param2': 0.04954825380405077}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597915066/assert_5917612_200_0.04954825380405077
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Timings: Avg: 3.7040000000000006, Max: 3.75, Min: 3.65
Passed tests : 30
Failed tests : 0
Converged: False
Convergence score: 2.0074488153546173
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Passed tests : 60
Failed tests : 0
Converged: True
Convergence score: 0.8162734794639451
updating...
Evaluating 60 values out of 60
Overall-timings: Avg: 3.6875, Max: 3.75, Min: 3.5500000000000003
Variance (2.0082333568544092e-33) too small, using delta distribution
Variance (3.584278191382292e-36) too small, using delta distribution
Variance (3.115530227419391e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 3.6875
Score: 3.6875
Best-score: 3.6781111111111113
Best-param: {'param1': 200, 'param2': 0.043560620717290076}
Upto iteration 250: {'param1': 200.0, 'param2': 0.043560620717290076}
Optimization Iteration: 251
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Optimization Iteration: 252
Running with params: {'param1': 200, 'param2': 0.00446245207867404}
Lower learning rate.. returning... Best: 0.043560620717290076, Proposed: 0.00446245207867404
Optimization Iteration: 253
Running with params: {'param1': 800, 'param2': 0.038069746426909926}
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Running with params: {'param1': 100, 'param2': 0.020626115987586575}
Lower learning rate.. returning... Best: 0.043560620717290076, Proposed: 0.020626115987586575
Optimization Iteration: 255
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Running with params: {'param1': 200, 'param2': 0.04834606833846147}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597915066/assert_5917612_200_0.04834606833846147
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Timings: Avg: 3.675666666666666, Max: 3.73, Min: 3.6300000000000003
Passed tests : 30
Failed tests : 0
Converged: False
Convergence score: 2.1428784965837604
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Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.6828333333333334, Max: 3.7600000000000002, Min: 3.56
Passed tests : 60
Failed tests : 0
Converged: True
Convergence score: 0.5320848210812594
updating...
Evaluating 60 values out of 60
Overall-timings: Avg: 3.6828333333333334, Max: 3.7600000000000002, Min: 3.56
Variance (5.63951408168578e-33) too small, using delta distribution
Variance (3.795769216667735e-36) too small, using delta distribution
Variance (4.7772090417417764e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 3.6828333333333334
Score: 3.6828333333333334
Best-score: 3.6781111111111113
Best-param: {'param1': 200, 'param2': 0.043560620717290076}
Optimization Iteration: 259
Running with params: {'param1': 200, 'param2': 0.04999803412164168}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597915066/assert_5917612_200_0.04999803412164168
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.7060000000000004, Max: 3.75, Min: 3.65
Passed tests : 30
Failed tests : 0
Converged: False
Convergence score: 2.029206273463556
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Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.6993333333333336, Max: 3.75, Min: 3.58
Passed tests : 60
Failed tests : 0
Converged: False
Convergence score: 1.0501672837357487
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Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.69188888888889, Max: 3.75, Min: 3.57
Passed tests : 90
Failed tests : 0
Converged: True
Convergence score: 0.6021200596664351
updating...
Evaluating 90 values out of 90
Overall-timings: Avg: 3.69188888888889, Max: 3.75, Min: 3.57
Variance (2.850643807963163e-33) too small, using delta distribution
Variance (3.2068138942849125e-36) too small, using delta distribution
Variance (7.673836098941373e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 3.69188888888889
Score: 3.69188888888889
Best-score: 3.6781111111111113
Best-param: {'param1': 200, 'param2': 0.043560620717290076}
Optimization Iteration: 260
Running with params: {'param1': 200, 'param2': 0.0345357132525808}
Lower learning rate.. returning... Best: 0.043560620717290076, Proposed: 0.0345357132525808
Optimization Iteration: 261
Running with params: {'param1': 100, 'param2': 0.04172539755896316}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597915066/assert_5917612_100_0.04172539755896316
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.120333333333334, Max: 3.1500000000000004, Min: 3.07
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: 3.6781111111111113
Best-param: {'param1': 200, 'param2': 0.043560620717290076}
Optimization Iteration: 262
Running with params: {'param1': 200, 'param2': 0.04576035423600163}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597915066/assert_5917612_200_0.04576035423600163
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Timings: Avg: 3.6990000000000003, Max: 3.7600000000000002, Min: 3.54
Passed tests : 30
Failed tests : 0
Converged: False
Convergence score: 1.6069166934227221
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.690333333333333, Max: 3.7600000000000002, Min: 3.54
Passed tests : 60
Failed tests : 0
Converged: False
Convergence score: 1.5882610400892447
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Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.6875555555555555, Max: 3.7600000000000002, Min: 3.54
Passed tests : 90
Failed tests : 0
Converged: False
Convergence score: 1.0992421631894098
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.6870833333333333, Max: 3.7600000000000002, Min: 3.54
Passed tests : 120
Failed tests : 0
Converged: True
Convergence score: 0.8122062276548339
updating...
Evaluating 120 values out of 120
Overall-timings: Avg: 3.6870833333333333, Max: 3.7600000000000002, Min: 3.54
Variance (1.6284891231583685e-33) too small, using delta distribution
Variance (2.13396305712401e-36) too small, using delta distribution
Variance (1.7572563008304944e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 3.6870833333333333
Score: 3.6870833333333333
Best-score: 3.6781111111111113
Best-param: {'param1': 200, 'param2': 0.043560620717290076}
Optimization Iteration: 263
Running with params: {'param1': 100, 'param2': 0.04439335004227272}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597915066/assert_5917612_100_0.04439335004227272
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.113, Max: 3.17, Min: 3.0300000000000002
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: 3.6781111111111113
Best-param: {'param1': 200, 'param2': 0.043560620717290076}
Optimization Iteration: 264
Running with params: {'param1': 200, 'param2': 0.031424240897077}
Lower learning rate.. returning... Best: 0.043560620717290076, Proposed: 0.031424240897077
Optimization Iteration: 265
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Optimization Iteration: 266
Running with params: {'param1': 100, 'param2': 0.029131873318786836}
Lower learning rate.. returning... Best: 0.043560620717290076, Proposed: 0.029131873318786836
Optimization Iteration: 267
Running with params: {'param1': 200, 'param2': 0.03864385617698957}
Lower learning rate.. returning... Best: 0.043560620717290076, Proposed: 0.03864385617698957
Optimization Iteration: 268
Running with params: {'param1': 300, 'param2': 0.019432685617817264}
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Optimization Iteration: 269
Running with params: {'param1': 100, 'param2': 0.034640410856867115}
Lower learning rate.. returning... Best: 0.043560620717290076, Proposed: 0.034640410856867115
Optimization Iteration: 270
Running with params: {'param1': 200, 'param2': 0.017452892997665944}
Lower learning rate.. returning... Best: 0.043560620717290076, Proposed: 0.017452892997665944
Optimization Iteration: 271
Running with params: {'param1': 100, 'param2': 0.04105445724481802}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597915066/assert_5917612_100_0.04105445724481802
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.124666666666666, Max: 3.17, Min: 3.07
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: 3.6781111111111113
Best-param: {'param1': 200, 'param2': 0.043560620717290076}
Optimization Iteration: 272
Running with params: {'param1': 300, 'param2': 0.023799978222289034}
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Running with params: {'param1': 100, 'param2': 0.015064509264447006}
Lower learning rate.. returning... Best: 0.043560620717290076, Proposed: 0.015064509264447006
Optimization Iteration: 274
Running with params: {'param1': 200, 'param2': 0.04981261284670656}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597915066/assert_5917612_200_0.04981261284670656
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.7039999999999997, Max: 3.77, Min: 3.63
Passed tests : 30
Failed tests : 0
Converged: False
Convergence score: 1.0826884050106145
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Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.697, Max: 3.77, Min: 3.6199999999999997
Passed tests : 60
Failed tests : 0
Converged: False
Convergence score: 1.223083586344595
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Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.6937777777777776, Max: 3.77, Min: 3.5900000000000003
Passed tests : 90
Failed tests : 0
Converged: True
Convergence score: 0.7428087940896564
updating...
Evaluating 90 values out of 90
Overall-timings: Avg: 3.6937777777777776, Max: 3.77, Min: 3.5900000000000003
Variance (4.0397049309197406e-33) too small, using delta distribution
Variance (4.0035704957964303e-36) too small, using delta distribution
Variance (4.815660768062007e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 3.6937777777777776
Score: 3.6937777777777776
Best-score: 3.6781111111111113
Best-param: {'param1': 200, 'param2': 0.043560620717290076}
Optimization Iteration: 275
Running with params: {'param1': 100, 'param2': 0.04547394516779475}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597915066/assert_5917612_100_0.04547394516779475
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.105, Max: 3.1500000000000004, Min: 3.07
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: 3.6781111111111113
Best-param: {'param1': 200, 'param2': 0.043560620717290076}
Optimization Iteration: 276
Running with params: {'param1': 200, 'param2': 0.03060099133597874}
Lower learning rate.. returning... Best: 0.043560620717290076, Proposed: 0.03060099133597874
Optimization Iteration: 277
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Running with params: {'param1': 200, 'param2': 0.035431767478124904}
Lower learning rate.. returning... Best: 0.043560620717290076, Proposed: 0.035431767478124904
Optimization Iteration: 279
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Optimization Iteration: 281
Running with params: {'param1': 100, 'param2': 0.038915797561291265}
Lower learning rate.. returning... Best: 0.043560620717290076, Proposed: 0.038915797561291265
Optimization Iteration: 282
Running with params: {'param1': 100, 'param2': 0.04927329008459391}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597915066/assert_5917612_100_0.04927329008459391
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.125666666666667, Max: 3.16, Min: 3.07
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: 3.6781111111111113
Best-param: {'param1': 200, 'param2': 0.043560620717290076}
Optimization Iteration: 283
Running with params: {'param1': 200, 'param2': 0.001469189641384959}
Lower learning rate.. returning... Best: 0.043560620717290076, Proposed: 0.001469189641384959
Optimization Iteration: 284
Running with params: {'param1': 300, 'param2': 0.02043332169408987}
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Optimization Iteration: 286
Running with params: {'param1': 100, 'param2': 0.011277205130372066}
Lower learning rate.. returning... Best: 0.043560620717290076, Proposed: 0.011277205130372066
Optimization Iteration: 287
Running with params: {'param1': 200, 'param2': 0.033491037486620516}
Lower learning rate.. returning... Best: 0.043560620717290076, Proposed: 0.033491037486620516
Optimization Iteration: 288
Running with params: {'param1': 100, 'param2': 0.025429407142970276}
Lower learning rate.. returning... Best: 0.043560620717290076, Proposed: 0.025429407142970276
Optimization Iteration: 289
Running with params: {'param1': 300, 'param2': 0.03097528663462509}
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Optimization Iteration: 290
Running with params: {'param1': 100, 'param2': 0.04968593935470491}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597915066/assert_5917612_100_0.04968593935470491
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.116333333333334, Max: 3.1700000000000004, Min: 3.04
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: 3.6781111111111113
Best-param: {'param1': 200, 'param2': 0.043560620717290076}
Optimization Iteration: 291
Running with params: {'param1': 200, 'param2': 0.015461954943281814}
Lower learning rate.. returning... Best: 0.043560620717290076, Proposed: 0.015461954943281814
Optimization Iteration: 292
Running with params: {'param1': 100, 'param2': 0.038299015872748136}
Lower learning rate.. returning... Best: 0.043560620717290076, Proposed: 0.038299015872748136
Optimization Iteration: 293
Running with params: {'param1': 200, 'param2': 0.012556274516422942}
Lower learning rate.. returning... Best: 0.043560620717290076, Proposed: 0.012556274516422942
Optimization Iteration: 294
Running with params: {'param1': 100, 'param2': 0.028032068308586282}
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Optimization Iteration: 295
Running with params: {'param1': 600, 'param2': 0.04993929365878907}
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Optimization Iteration: 296
Running with params: {'param1': 200, 'param2': 0.00024669078144416885}
Lower learning rate.. returning... Best: 0.043560620717290076, Proposed: 0.00024669078144416885
Optimization Iteration: 297
Running with params: {'param1': 500, 'param2': 0.021620451169645803}
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Optimization Iteration: 300
Running with params: {'param1': 100, 'param2': 0.0442310866118083}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597915066/assert_5917612_100_0.0442310866118083
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.1136666666666666, Max: 3.17, Min: 3.0
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: 3.6781111111111113
Best-param: {'param1': 200, 'param2': 0.043560620717290076}
Upto iteration 300: {'param1': 200.0, 'param2': 0.043560620717290076}
Breaking...
{'param1': 200.0, 'param2': 0.043560620717290076}
Best score: 3.6781111111111113
Repeated params: 0
Trials: 301
Best param {'param1': 200.0, 'param2': 0.043560620717290076}
Reduction: 95.55912403275487%
Speedup: 22.518079932332416x
Optimizer time: 686.1382069587708
