Repo: pyro
Filename: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/projects/pyro/tests/infer/test_elbo_mapdata.py
ClassName: none
Testname: test_elbo_mapdata[range-None]
Params: param1,50,14,ParamType.ITER,7000
param2,89,29,ParamType.LR,0.0008
Assertion: assert_equal(loc_error.item(), 0, prec=0.05)
Original runtime: 46.513999999999996
>>Getting original runtime
Optimization Iteration: 1
Running with params: {'param1': 7000, 'param2': 0.0008}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597921900/assert_87262103_7000_0.0008
Launching 30 jobs, 30 in parallel
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Timings: Avg: 45.400333333333336, Max: 46.83, Min: 44.480000000000004
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 45.400333333333336, Max: 46.83, Min: 44.480000000000004
Variance (1.8367099231598242e-40) 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: 45.400333333333336
Score: 45.400333333333336
Best-score: 45.400333333333336
Best-param: {'param1': 7000, 'param2': 0.0008}
>>Setting original runtime to 45.400333333333336
Optimization Iteration: 1
Running with params: {'param1': 100, 'param2': 0.003080962189757921}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597921900/assert_87262103_100_0.003080962189757921
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.9219999999999997, Max: 2.97, Min: 2.7
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: 45.400333333333336
Best-param: {'param1': 7000, 'param2': 0.0008}
Optimization Iteration: 2
Running with params: {'param1': 600, 'param2': 0.0011350171439386979}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597921900/assert_87262103_600_0.0011350171439386979
Launching 30 jobs, 30 in parallel
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Timings: Avg: 5.8133333333333335, Max: 5.94, Min: 5.720000000000001
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 5.8133333333333335, Max: 5.94, Min: 5.720000000000001
Variance (2.938735877055719e-39) 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: 5.8133333333333335
Score: 5.8133333333333335
Best-score: 5.8133333333333335
Best-param: {'param1': 600, 'param2': 0.0011350171439386979}
Optimization Iteration: 3
Running with params: {'param1': 6400, 'param2': 0.00046932892775723207}
Higher iteration... returning...
Optimization Iteration: 4
Running with params: {'param1': 200, 'param2': 0.0001141099685548802}
Lower learning rate.. returning... Best: 0.0011350171439386979, Proposed: 0.0001141099685548802
Optimization Iteration: 5
Running with params: {'param1': 300, 'param2': 0.00026961584063769814}
Lower learning rate.. returning... Best: 0.0011350171439386979, Proposed: 0.00026961584063769814
Optimization Iteration: 6
Running with params: {'param1': 500, 'param2': 0.0028236018266986546}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597921900/assert_87262103_500_0.0028236018266986546
Launching 30 jobs, 30 in parallel
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Timings: Avg: 5.202, Max: 5.3, Min: 5.11
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 5.202, Max: 5.3, Min: 5.11
Variance (4.70197740328915e-38) too small, using delta distribution
Variance (1.88079096131566e-37) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 5.202
Score: 5.202
Best-score: 5.202
Best-param: {'param1': 500, 'param2': 0.0028236018266986546}
Optimization Iteration: 7
Running with params: {'param1': 600, 'param2': 0.00019150523861991584}
Higher iteration... returning...
Optimization Iteration: 8
Running with params: {'param1': 100, 'param2': 0.011342974430385303}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597921900/assert_87262103_100_0.011342974430385303
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.7316666666666674, Max: 2.7600000000000002, Min: 2.62
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 2.7316666666666674, Max: 2.7600000000000002, Min: 2.62
Variance (1.1754943508222875e-38) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 2.7316666666666674
Score: 2.7316666666666674
Best-score: 2.7316666666666674
Best-param: {'param1': 100, 'param2': 0.011342974430385303}
Optimization Iteration: 9
Running with params: {'param1': 1800, 'param2': 0.00016764666997614886}
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Optimization Iteration: 10
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Optimization Iteration: 17
Running with params: {'param1': 100, 'param2': 0.005964448322229373}
Lower learning rate.. returning... Best: 0.011342974430385303, Proposed: 0.005964448322229373
Optimization Iteration: 18
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Optimization Iteration: 19
Running with params: {'param1': 100, 'param2': 0.0020407077803718966}
Lower learning rate.. returning... Best: 0.011342974430385303, Proposed: 0.0020407077803718966
Optimization Iteration: 20
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Optimization Iteration: 28
Running with params: {'param1': 100, 'param2': 0.004817723869504566}
Lower learning rate.. returning... Best: 0.011342974430385303, Proposed: 0.004817723869504566
Optimization Iteration: 29
Running with params: {'param1': 100, 'param2': 0.0006470462765294945}
Lower learning rate.. returning... Best: 0.011342974430385303, Proposed: 0.0006470462765294945
Optimization Iteration: 30
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Optimization Iteration: 34
Running with params: {'param1': 100, 'param2': 0.0015467786087084757}
Lower learning rate.. returning... Best: 0.011342974430385303, Proposed: 0.0015467786087084757
Optimization Iteration: 35
Running with params: {'param1': 400, 'param2': 0.006528514261914756}
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Optimization Iteration: 36
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Optimization Iteration: 37
Running with params: {'param1': 100, 'param2': 0.000499294602090176}
Lower learning rate.. returning... Best: 0.011342974430385303, Proposed: 0.000499294602090176
Optimization Iteration: 38
Running with params: {'param1': 800, 'param2': 0.01845040956550134}
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Optimization Iteration: 46
Running with params: {'param1': 100, 'param2': 0.02480748626626159}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597921900/assert_87262103_100_0.02480748626626159
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.7223333333333333, Max: 2.77, Min: 2.5700000000000003
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 2.7223333333333333, Max: 2.77, Min: 2.5700000000000003
Variance (1.88079096131566e-37) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 2.7223333333333333
Score: 2.7223333333333333
Best-score: 2.7223333333333333
Best-param: {'param1': 100, 'param2': 0.02480748626626159}
Optimization Iteration: 47
Running with params: {'param1': 100, 'param2': 0.03135472670098365}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597921900/assert_87262103_100_0.03135472670098365
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.7420000000000004, Max: 2.78, Min: 2.6799999999999997
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 2.7420000000000004, Max: 2.78, Min: 2.6799999999999997
Variance (4.70197740328915e-38) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 2.7420000000000004
Score: 2.7420000000000004
Best-score: 2.7223333333333333
Best-param: {'param1': 100, 'param2': 0.02480748626626159}
Optimization Iteration: 48
Running with params: {'param1': 100, 'param2': 0.024101038464832893}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597921900/assert_87262103_100_0.024101038464832893
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.7406666666666664, Max: 2.79, Min: 2.66
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 2.7406666666666664, Max: 2.79, Min: 2.66
Variance (4.70197740328915e-38) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 2.7406666666666664
Score: 2.7406666666666664
Best-score: 2.7223333333333333
Best-param: {'param1': 100, 'param2': 0.02480748626626159}
Optimization Iteration: 49
Running with params: {'param1': 100, 'param2': 0.03640830419775084}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597921900/assert_87262103_100_0.03640830419775084
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.7143333333333337, Max: 2.77, Min: 2.56
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 2.7143333333333337, Max: 2.77, Min: 2.56
Variance (7.52316384526264e-37) 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: 2.7143333333333337
Score: 2.7143333333333337
Best-score: 2.7143333333333337
Best-param: {'param1': 100, 'param2': 0.03640830419775084}
Optimization Iteration: 50
Running with params: {'param1': 200, 'param2': 0.020316842017480238}
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Upto iteration 50: {'param1': 100.0, 'param2': 0.03640830419775084}
Optimization Iteration: 51
Running with params: {'param1': 100, 'param2': 0.0434086056874248}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597921900/assert_87262103_100_0.0434086056874248
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.7336666666666662, Max: 2.77, Min: 2.66
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 2.7336666666666662, Max: 2.77, Min: 2.66
Variance (3.009265538105056e-36) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 2.7336666666666662
Score: 2.7336666666666662
Best-score: 2.7143333333333337
Best-param: {'param1': 100, 'param2': 0.03640830419775084}
Optimization Iteration: 52
Running with params: {'param1': 100, 'param2': 0.03326772273087183}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597921900/assert_87262103_100_0.03326772273087183
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.734333333333333, Max: 2.7800000000000002, Min: 2.6300000000000003
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 2.734333333333333, Max: 2.7800000000000002, Min: 2.6300000000000003
Variance (4.231779662960235e-37) too small, using delta distribution
Variance (3.009265538105056e-36) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 2.734333333333333
Score: 2.734333333333333
Best-score: 2.7143333333333337
Best-param: {'param1': 100, 'param2': 0.03640830419775084}
Optimization Iteration: 53
Running with params: {'param1': 200, 'param2': 0.04941478433804948}
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Optimization Iteration: 54
Running with params: {'param1': 100, 'param2': 0.01683846336350888}
Lower learning rate.. returning... Best: 0.03640830419775084, Proposed: 0.01683846336350888
Optimization Iteration: 55
Running with params: {'param1': 300, 'param2': 0.00014688371306091166}
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Optimization Iteration: 56
Running with params: {'param1': 200, 'param2': 0.0374580991197566}
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Optimization Iteration: 57
Running with params: {'param1': 7000, 'param2': 0.023271363314903173}
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Optimization Iteration: 58
Running with params: {'param1': 300, 'param2': 0.0003356825985018171}
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Optimization Iteration: 59
Running with params: {'param1': 100, 'param2': 0.00021074570237173022}
Lower learning rate.. returning... Best: 0.03640830419775084, Proposed: 0.00021074570237173022
Optimization Iteration: 60
Running with params: {'param1': 200, 'param2': 0.013685657290384763}
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Optimization Iteration: 61
Running with params: {'param1': 1400, 'param2': 0.007732149485162656}
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Optimization Iteration: 62
Running with params: {'param1': 100, 'param2': 0.010116777792055841}
Lower learning rate.. returning... Best: 0.03640830419775084, Proposed: 0.010116777792055841
Optimization Iteration: 63
Running with params: {'param1': 400, 'param2': 0.00010543883875512986}
Higher iteration... returning...
Optimization Iteration: 64
Running with params: {'param1': 100, 'param2': 0.003985708793794518}
Lower learning rate.. returning... Best: 0.03640830419775084, Proposed: 0.003985708793794518
Optimization Iteration: 65
Running with params: {'param1': 700, 'param2': 0.0016393170359962493}
Higher iteration... returning...
Optimization Iteration: 66
Running with params: {'param1': 100, 'param2': 0.029452167625057136}
Lower learning rate.. returning... Best: 0.03640830419775084, Proposed: 0.029452167625057136
Optimization Iteration: 67
Running with params: {'param1': 100, 'param2': 0.012160951509116997}
Lower learning rate.. returning... Best: 0.03640830419775084, Proposed: 0.012160951509116997
Optimization Iteration: 68
Running with params: {'param1': 100, 'param2': 0.015480805635572832}
Lower learning rate.. returning... Best: 0.03640830419775084, Proposed: 0.015480805635572832
Optimization Iteration: 69
Running with params: {'param1': 200, 'param2': 0.039838064717926606}
Higher iteration... returning...
Optimization Iteration: 70
Running with params: {'param1': 100, 'param2': 0.020012297381398533}
Lower learning rate.. returning... Best: 0.03640830419775084, Proposed: 0.020012297381398533
Optimization Iteration: 71
Running with params: {'param1': 200, 'param2': 0.025811343707391216}
Higher iteration... returning...
Optimization Iteration: 72
Running with params: {'param1': 300, 'param2': 0.006633592004551998}
Higher iteration... returning...
Optimization Iteration: 73
Running with params: {'param1': 100, 'param2': 0.002639858956616919}
Lower learning rate.. returning... Best: 0.03640830419775084, Proposed: 0.002639858956616919
Optimization Iteration: 74
Running with params: {'param1': 5400, 'param2': 0.00525176808118201}
Higher iteration... returning...
Optimization Iteration: 75
Running with params: {'param1': 100, 'param2': 0.008951910168848295}
Lower learning rate.. returning... Best: 0.03640830419775084, Proposed: 0.008951910168848295
Optimization Iteration: 76
Running with params: {'param1': 200, 'param2': 0.035927400664840986}
Higher iteration... returning...
Optimization Iteration: 77
Running with params: {'param1': 100, 'param2': 0.04934664319055213}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597921900/assert_87262103_100_0.04934664319055213
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.7386666666666666, Max: 2.77, Min: 2.63
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 2.7386666666666666, Max: 2.77, Min: 2.63
Variance (3.009265538105056e-36) 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: 2.7386666666666666
Score: 2.7386666666666666
Best-score: 2.7143333333333337
Best-param: {'param1': 100, 'param2': 0.03640830419775084}
Optimization Iteration: 78
Running with params: {'param1': 200, 'param2': 0.018286803723511103}
Higher iteration... returning...
Optimization Iteration: 79
Running with params: {'param1': 100, 'param2': 0.014802633923827193}
Lower learning rate.. returning... Best: 0.03640830419775084, Proposed: 0.014802633923827193
Optimization Iteration: 80
Running with params: {'param1': 100, 'param2': 0.027835663326260283}
Lower learning rate.. returning... Best: 0.03640830419775084, Proposed: 0.027835663326260283
Optimization Iteration: 81
Running with params: {'param1': 3700, 'param2': 0.0009229887320468572}
Higher iteration... returning...
Optimization Iteration: 82
Running with params: {'param1': 1000, 'param2': 0.01099822038487729}
Higher iteration... returning...
Optimization Iteration: 83
Running with params: {'param1': 400, 'param2': 0.004678158457941469}
Higher iteration... returning...
Optimization Iteration: 84
Running with params: {'param1': 2200, 'param2': 0.006149847221458837}
Higher iteration... returning...
Optimization Iteration: 85
Running with params: {'param1': 300, 'param2': 0.0213934920137233}
Higher iteration... returning...
Optimization Iteration: 86
Running with params: {'param1': 500, 'param2': 0.009218321060908712}
Higher iteration... returning...
Optimization Iteration: 87
Running with params: {'param1': 200, 'param2': 0.049050924187515256}
Higher iteration... returning...
Optimization Iteration: 88
Running with params: {'param1': 2500, 'param2': 0.0036574368854352473}
Higher iteration... returning...
Optimization Iteration: 89
Running with params: {'param1': 100, 'param2': 0.0020475390136538963}
Lower learning rate.. returning... Best: 0.03640830419775084, Proposed: 0.0020475390136538963
Optimization Iteration: 90
Running with params: {'param1': 200, 'param2': 0.0013591079417885857}
Higher iteration... returning...
Optimization Iteration: 91
Running with params: {'param1': 100, 'param2': 0.013061048375690295}
Lower learning rate.. returning... Best: 0.03640830419775084, Proposed: 0.013061048375690295
Optimization Iteration: 92
Running with params: {'param1': 100, 'param2': 0.04051798581546944}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597921900/assert_87262103_100_0.04051798581546944
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.756333333333333, Max: 2.8000000000000003, Min: 2.66
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 2.756333333333333, Max: 2.8000000000000003, Min: 2.66
Variance (7.52316384526264e-37) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 2.756333333333333
Score: 2.756333333333333
Best-score: 2.7143333333333337
Best-param: {'param1': 100, 'param2': 0.03640830419775084}
Optimization Iteration: 93
Running with params: {'param1': 100, 'param2': 0.03320438687969566}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597921900/assert_87262103_100_0.03320438687969566
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
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Timings: Avg: 2.7703333333333338, Max: 2.81, Min: 2.6799999999999997
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 2.7703333333333338, Max: 2.81, Min: 2.6799999999999997
Variance (1.88079096131566e-37) too small, using delta distribution
Variance (2.7083389842945504e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 2.7703333333333338
Score: 2.7703333333333338
Best-score: 2.7143333333333337
Best-param: {'param1': 100, 'param2': 0.03640830419775084}
Optimization Iteration: 94
Running with params: {'param1': 600, 'param2': 0.02445704900337097}
Higher iteration... returning...
Optimization Iteration: 95
Running with params: {'param1': 300, 'param2': 0.007227875904540998}
Higher iteration... returning...
Optimization Iteration: 96
Running with params: {'param1': 200, 'param2': 0.00843582742185767}
Higher iteration... returning...
Optimization Iteration: 97
Running with params: {'param1': 100, 'param2': 0.0030102010196618304}
Lower learning rate.. returning... Best: 0.03640830419775084, Proposed: 0.0030102010196618304
Optimization Iteration: 98
Running with params: {'param1': 200, 'param2': 0.018608137191766832}
Higher iteration... returning...
Optimization Iteration: 99
Running with params: {'param1': 400, 'param2': 0.01631816697537699}
Higher iteration... returning...
Optimization Iteration: 100
Running with params: {'param1': 100, 'param2': 0.005562623501420364}
Lower learning rate.. returning... Best: 0.03640830419775084, Proposed: 0.005562623501420364
Upto iteration 100: {'param1': 100.0, 'param2': 0.03640830419775084}
Breaking...
{'param1': 100.0, 'param2': 0.03640830419775084}
Best score: 2.7143333333333337
Repeated params: 0
Trials: 101
Best param {'param1': 100.0, 'param2': 0.03640830419775084}
Reduction: 94.02133611353808%
Speedup: 16.72614515534815x
Optimizer time: 93.1241774559021
