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-3]
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: 46.464
>>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_1597921540/assert_4981379_7000_0.0008
Launching 30 jobs, 30 in parallel
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Timings: Avg: 45.39033333333332, Max: 47.03, Min: 44.69
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 45.39033333333332, Max: 47.03, Min: 44.69
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: 45.39033333333332
Score: 45.39033333333332
Best-score: 45.39033333333332
Best-param: {'param1': 7000, 'param2': 0.0008}
>>Setting original runtime to 45.39033333333332
Optimization Iteration: 1
Running with params: {'param1': 400, 'param2': 0.003615372288279688}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597921540/assert_4981379_400_0.003615372288279688
Launching 30 jobs, 30 in parallel
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Timings: Avg: 4.598, Max: 4.67, Min: 4.53
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 4.598, Max: 4.67, Min: 4.53
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 4.598
Score: 4.598
Best-score: 4.598
Best-param: {'param1': 400, 'param2': 0.003615372288279688}
Optimization Iteration: 2
Running with params: {'param1': 1900, 'param2': 0.0001941083118065396}
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Optimization Iteration: 3
Running with params: {'param1': 600, 'param2': 0.04068716596689577}
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Optimization Iteration: 4
Running with params: {'param1': 200, 'param2': 0.00024778298328927904}
Lower learning rate.. returning... Best: 0.003615372288279688, Proposed: 0.00024778298328927904
Optimization Iteration: 5
Running with params: {'param1': 2300, 'param2': 0.0014989227366147915}
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Optimization Iteration: 6
Running with params: {'param1': 4400, 'param2': 0.026897837120314523}
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Optimization Iteration: 7
Running with params: {'param1': 1000, 'param2': 0.00015815058700847869}
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Optimization Iteration: 8
Running with params: {'param1': 2400, 'param2': 0.0021536238189956386}
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Optimization Iteration: 9
Running with params: {'param1': 200, 'param2': 0.0015822185231824642}
Lower learning rate.. returning... Best: 0.003615372288279688, Proposed: 0.0015822185231824642
Optimization Iteration: 10
Running with params: {'param1': 600, 'param2': 0.00010419435831842576}
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Optimization Iteration: 11
Running with params: {'param1': 3200, 'param2': 0.004096223947476534}
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Optimization Iteration: 12
Running with params: {'param1': 400, 'param2': 0.010940189143478026}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597921540/assert_4981379_400_0.010940189143478026
Launching 30 jobs, 30 in parallel
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Timings: Avg: 4.595000000000001, Max: 4.67, Min: 4.49
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 4.595000000000001, Max: 4.67, Min: 4.49
Variance (1.88079096131566e-37) 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: 4.595000000000001
Score: 4.595000000000001
Best-score: 4.595000000000001
Best-param: {'param1': 400, 'param2': 0.010940189143478026}
Optimization Iteration: 13
Running with params: {'param1': 6800, 'param2': 0.0031697847067008573}
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Optimization Iteration: 14
Running with params: {'param1': 200, 'param2': 0.0003955259077124148}
Lower learning rate.. returning... Best: 0.010940189143478026, Proposed: 0.0003955259077124148
Optimization Iteration: 15
Running with params: {'param1': 3800, 'param2': 0.028316213049083397}
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Optimization Iteration: 16
Running with params: {'param1': 700, 'param2': 0.00016666789037613354}
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Running with params: {'param1': 1000, 'param2': 0.005640655142839168}
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Optimization Iteration: 18
Running with params: {'param1': 4700, 'param2': 0.0011906396174652973}
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Optimization Iteration: 19
Running with params: {'param1': 500, 'param2': 0.007114540305102195}
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Optimization Iteration: 20
Running with params: {'param1': 600, 'param2': 0.03487172818991447}
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Optimization Iteration: 21
Running with params: {'param1': 100, 'param2': 0.013002575073358657}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597921540/assert_4981379_100_0.013002575073358657
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.7199999999999998, Max: 2.77, Min: 2.65
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 2.7199999999999998, Max: 2.77, Min: 2.65
Variance (0.0) 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: 2.7199999999999998
Score: 2.7199999999999998
Best-score: 2.7199999999999998
Best-param: {'param1': 100, 'param2': 0.013002575073358657}
Optimization Iteration: 22
Running with params: {'param1': 100, 'param2': 0.01655737754868841}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597921540/assert_4981379_100_0.01655737754868841
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.721333333333333, 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: 2.721333333333333, Max: 2.7600000000000002, Min: 2.62
Variance (0.0) 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: 2.721333333333333
Score: 2.721333333333333
Best-score: 2.7199999999999998
Best-param: {'param1': 100, 'param2': 0.013002575073358657}
Optimization Iteration: 23
Running with params: {'param1': 100, 'param2': 0.011162847213514416}
Lower learning rate.. returning... Best: 0.013002575073358657, Proposed: 0.011162847213514416
Optimization Iteration: 24
Running with params: {'param1': 100, 'param2': 0.01776009488817323}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597921540/assert_4981379_100_0.01776009488817323
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.7383333333333324, Max: 2.78, Min: 2.68
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 2.7383333333333324, Max: 2.78, Min: 2.68
Variance (1.88079096131566e-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: 2.7383333333333324
Score: 2.7383333333333324
Best-score: 2.7199999999999998
Best-param: {'param1': 100, 'param2': 0.013002575073358657}
Optimization Iteration: 25
Running with params: {'param1': 100, 'param2': 0.016393792818474185}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597921540/assert_4981379_100_0.016393792818474185
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.728666666666667, Max: 2.7600000000000002, Min: 2.64
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 2.728666666666667, Max: 2.7600000000000002, Min: 2.64
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 2.728666666666667
Score: 2.728666666666667
Best-score: 2.7199999999999998
Best-param: {'param1': 100, 'param2': 0.013002575073358657}
Optimization Iteration: 26
Running with params: {'param1': 200, 'param2': 0.0006593698866712407}
Higher iteration... returning...
Optimization Iteration: 27
Running with params: {'param1': 100, 'param2': 0.0493949190663777}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597921540/assert_4981379_100_0.0493949190663777
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.749, Max: 2.79, Min: 2.67
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 2.749, Max: 2.79, Min: 2.67
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: 2.749
Score: 2.749
Best-score: 2.7199999999999998
Best-param: {'param1': 100, 'param2': 0.013002575073358657}
Optimization Iteration: 28
Running with params: {'param1': 300, 'param2': 0.009033506460233851}
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Optimization Iteration: 29
Running with params: {'param1': 300, 'param2': 0.019114825694771357}
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Optimization Iteration: 30
Running with params: {'param1': 100, 'param2': 0.004169973637860269}
Lower learning rate.. returning... Best: 0.013002575073358657, Proposed: 0.004169973637860269
Optimization Iteration: 31
Running with params: {'param1': 1500, 'param2': 0.013886399404724843}
Higher iteration... returning...
Optimization Iteration: 32
Running with params: {'param1': 300, 'param2': 0.006481533187782242}
Higher iteration... returning...
Optimization Iteration: 33
Running with params: {'param1': 100, 'param2': 0.02419729028251609}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597921540/assert_4981379_100_0.02419729028251609
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.755666666666667, Max: 2.8, Min: 2.68
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 2.755666666666667, Max: 2.8, Min: 2.68
Variance (0.0) 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: 2.755666666666667
Score: 2.755666666666667
Best-score: 2.7199999999999998
Best-param: {'param1': 100, 'param2': 0.013002575073358657}
Optimization Iteration: 34
Running with params: {'param1': 200, 'param2': 0.0026362172378834674}
Higher iteration... returning...
Optimization Iteration: 35
Running with params: {'param1': 100, 'param2': 0.04692246119386236}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597921540/assert_4981379_100_0.04692246119386236
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.7483333333333335, Max: 2.8, Min: 2.58
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 2.7483333333333335, Max: 2.8, Min: 2.58
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: 2.7483333333333335
Score: 2.7483333333333335
Best-score: 2.7199999999999998
Best-param: {'param1': 100, 'param2': 0.013002575073358657}
Optimization Iteration: 36
Running with params: {'param1': 1300, 'param2': 0.005377352456141553}
Higher iteration... returning...
Optimization Iteration: 37
Running with params: {'param1': 200, 'param2': 0.03643891043458266}
Higher iteration... returning...
Optimization Iteration: 38
Running with params: {'param1': 100, 'param2': 0.008479004990070404}
Lower learning rate.. returning... Best: 0.013002575073358657, Proposed: 0.008479004990070404
Optimization Iteration: 39
Running with params: {'param1': 400, 'param2': 0.001064511880629033}
Higher iteration... returning...
Optimization Iteration: 40
Running with params: {'param1': 200, 'param2': 0.0021674600983968293}
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Optimization Iteration: 41
Running with params: {'param1': 300, 'param2': 0.011810813789337533}
Higher iteration... returning...
Optimization Iteration: 42
Running with params: {'param1': 100, 'param2': 0.023866006787588833}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597921540/assert_4981379_100_0.023866006787588833
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.7760000000000002, Max: 2.83, Min: 2.65
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 2.7760000000000002, Max: 2.83, Min: 2.65
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: 2.7760000000000002
Score: 2.7760000000000002
Best-score: 2.7199999999999998
Best-param: {'param1': 100, 'param2': 0.013002575073358657}
Optimization Iteration: 43
Running with params: {'param1': 2100, 'param2': 0.000585669189569663}
Higher iteration... returning...
Optimization Iteration: 44
Running with params: {'param1': 400, 'param2': 0.004236553551664311}
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Optimization Iteration: 45
Running with params: {'param1': 200, 'param2': 0.032930964249075996}
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Optimization Iteration: 46
Running with params: {'param1': 800, 'param2': 0.003299950681953148}
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Optimization Iteration: 47
Running with params: {'param1': 6100, 'param2': 0.020768071284883748}
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Optimization Iteration: 48
Running with params: {'param1': 2600, 'param2': 0.0017006398040667896}
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Optimization Iteration: 49
Running with params: {'param1': 100, 'param2': 0.013770308099894914}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597921540/assert_4981379_100_0.013770308099894914
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.7356666666666665, 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: 2.7356666666666665, Max: 2.77, Min: 2.66
Variance (4.70197740328915e-38) 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: 2.7356666666666665
Score: 2.7356666666666665
Best-score: 2.7199999999999998
Best-param: {'param1': 100, 'param2': 0.013002575073358657}
Optimization Iteration: 50
Running with params: {'param1': 500, 'param2': 0.045789072610593826}
Higher iteration... returning...
Upto iteration 50: {'param1': 100.0, 'param2': 0.013002575073358657}
Optimization Iteration: 51
Running with params: {'param1': 1000, 'param2': 0.00028353758972185847}
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Optimization Iteration: 52
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Optimization Iteration: 53
Running with params: {'param1': 200, 'param2': 0.0077708742590590265}
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Optimization Iteration: 54
Running with params: {'param1': 100, 'param2': 0.005104385393192847}
Lower learning rate.. returning... Best: 0.013002575073358657, Proposed: 0.005104385393192847
Optimization Iteration: 55
Running with params: {'param1': 500, 'param2': 0.028390085283073848}
Higher iteration... returning...
Optimization Iteration: 56
Running with params: {'param1': 100, 'param2': 0.002812069995093787}
Lower learning rate.. returning... Best: 0.013002575073358657, Proposed: 0.002812069995093787
Optimization Iteration: 57
Running with params: {'param1': 300, 'param2': 0.001026761323638529}
Higher iteration... returning...
Optimization Iteration: 58
Running with params: {'param1': 200, 'param2': 0.00929790673985952}
Higher iteration... returning...
Optimization Iteration: 59
Running with params: {'param1': 100, 'param2': 0.014853137686570882}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597921540/assert_4981379_100_0.014853137686570882
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.7449999999999997, Max: 2.7800000000000002, Min: 2.7199999999999998
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 2.7449999999999997, Max: 2.7800000000000002, Min: 2.7199999999999998
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: 2.7449999999999997
Score: 2.7449999999999997
Best-score: 2.7199999999999998
Best-param: {'param1': 100, 'param2': 0.013002575073358657}
Optimization Iteration: 60
Running with params: {'param1': 100, 'param2': 0.0013468066153402597}
Lower learning rate.. returning... Best: 0.013002575073358657, Proposed: 0.0013468066153402597
Optimization Iteration: 61
Running with params: {'param1': 700, 'param2': 0.0018029621383793325}
Higher iteration... returning...
Optimization Iteration: 62
Running with params: {'param1': 3300, 'param2': 0.011083916287542019}
Higher iteration... returning...
Optimization Iteration: 63
Running with params: {'param1': 5300, 'param2': 0.004418075675019067}
Higher iteration... returning...
Optimization Iteration: 64
Running with params: {'param1': 100, 'param2': 0.0006410279543119204}
Lower learning rate.. returning... Best: 0.013002575073358657, Proposed: 0.0006410279543119204
Optimization Iteration: 65
Running with params: {'param1': 300, 'param2': 0.006551148544984794}
Higher iteration... returning...
Optimization Iteration: 66
Running with params: {'param1': 100, 'param2': 0.019033505043173887}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597921540/assert_4981379_100_0.019033505043173887
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.728333333333333, Max: 2.77, Min: 2.6199999999999997
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 2.728333333333333, Max: 2.77, Min: 2.6199999999999997
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: 2.728333333333333
Score: 2.728333333333333
Best-score: 2.7199999999999998
Best-param: {'param1': 100, 'param2': 0.013002575073358657}
Optimization Iteration: 67
Running with params: {'param1': 100, 'param2': 0.021211139295336537}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597921540/assert_4981379_100_0.021211139295336537
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.7536666666666667, 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: 2.7536666666666667, Max: 2.81, Min: 2.6799999999999997
Variance (1.88079096131566e-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: 2.7536666666666667
Score: 2.7536666666666667
Best-score: 2.7199999999999998
Best-param: {'param1': 100, 'param2': 0.013002575073358657}
Optimization Iteration: 68
Running with params: {'param1': 200, 'param2': 0.029978169809432763}
Higher iteration... returning...
Optimization Iteration: 69
Running with params: {'param1': 100, 'param2': 0.016840682692284812}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597921540/assert_4981379_100_0.016840682692284812
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.74, Max: 2.79, Min: 2.69
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 2.74, Max: 2.79, Min: 2.69
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: 2.74
Score: 2.74
Best-score: 2.7199999999999998
Best-param: {'param1': 100, 'param2': 0.013002575073358657}
Optimization Iteration: 70
Running with params: {'param1': 100, 'param2': 0.04281951156660412}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597921540/assert_4981379_100_0.04281951156660412
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.7159999999999997, Max: 2.7600000000000002, Min: 2.61
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 2.7159999999999997, Max: 2.7600000000000002, Min: 2.61
Variance (0.0) 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: 2.7159999999999997
Score: 2.7159999999999997
Best-score: 2.7159999999999997
Best-param: {'param1': 100, 'param2': 0.04281951156660412}
Optimization Iteration: 71
Running with params: {'param1': 200, 'param2': 0.03898810082274994}
Higher iteration... returning...
Optimization Iteration: 72
Running with params: {'param1': 100, 'param2': 0.041198372847786}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597921540/assert_4981379_100_0.041198372847786
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.736333333333333, Max: 2.7800000000000002, Min: 2.68
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 2.736333333333333, Max: 2.7800000000000002, Min: 2.68
Variance (1.692711865184094e-36) 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: 2.736333333333333
Score: 2.736333333333333
Best-score: 2.7159999999999997
Best-param: {'param1': 100, 'param2': 0.04281951156660412}
Optimization Iteration: 73
Running with params: {'param1': 200, 'param2': 0.049627775761950536}
Higher iteration... returning...
Optimization Iteration: 74
Running with params: {'param1': 100, 'param2': 0.025738498248220044}
Lower learning rate.. returning... Best: 0.04281951156660412, Proposed: 0.025738498248220044
Optimization Iteration: 75
Running with params: {'param1': 400, 'param2': 0.009876275602337673}
Higher iteration... returning...
Optimization Iteration: 76
Running with params: {'param1': 100, 'param2': 0.012344205089224741}
Lower learning rate.. returning... Best: 0.04281951156660412, Proposed: 0.012344205089224741
Optimization Iteration: 77
Running with params: {'param1': 100, 'param2': 0.03299514445762506}
Lower learning rate.. returning... Best: 0.04281951156660412, Proposed: 0.03299514445762506
Optimization Iteration: 78
Running with params: {'param1': 200, 'param2': 0.007515603007580341}
Higher iteration... returning...
Optimization Iteration: 79
Running with params: {'param1': 300, 'param2': 0.022628171495220506}
Higher iteration... returning...
Optimization Iteration: 80
Running with params: {'param1': 100, 'param2': 0.003620824595037094}
Lower learning rate.. returning... Best: 0.04281951156660412, Proposed: 0.003620824595037094
Optimization Iteration: 81
Running with params: {'param1': 200, 'param2': 0.014699166606514082}
Higher iteration... returning...
Optimization Iteration: 82
Running with params: {'param1': 100, 'param2': 0.005018719329182958}
Lower learning rate.. returning... Best: 0.04281951156660412, Proposed: 0.005018719329182958
Optimization Iteration: 83
Running with params: {'param1': 200, 'param2': 0.04200926250954846}
Higher iteration... returning...
Optimization Iteration: 84
Running with params: {'param1': 1100, 'param2': 0.005903139716139489}
Higher iteration... returning...
Optimization Iteration: 85
Running with params: {'param1': 500, 'param2': 0.0025313921822805946}
Higher iteration... returning...
Optimization Iteration: 86
Running with params: {'param1': 300, 'param2': 0.0008240365711630794}
Higher iteration... returning...
Optimization Iteration: 87
Running with params: {'param1': 400, 'param2': 0.013087016070310877}
Higher iteration... returning...
Optimization Iteration: 88
Running with params: {'param1': 100, 'param2': 0.01648337688665145}
Lower learning rate.. returning... Best: 0.04281951156660412, Proposed: 0.01648337688665145
Optimization Iteration: 89
Running with params: {'param1': 100, 'param2': 0.0004421624414172188}
Lower learning rate.. returning... Best: 0.04281951156660412, Proposed: 0.0004421624414172188
Optimization Iteration: 90
Running with params: {'param1': 200, 'param2': 0.010073043383403594}
Higher iteration... returning...
Optimization Iteration: 91
Running with params: {'param1': 100, 'param2': 0.029789886966302054}
Lower learning rate.. returning... Best: 0.04281951156660412, Proposed: 0.029789886966302054
Optimization Iteration: 92
Running with params: {'param1': 800, 'param2': 0.008148209908318021}
Higher iteration... returning...
Optimization Iteration: 93
Running with params: {'param1': 1800, 'param2': 0.019287262600819848}
Higher iteration... returning...
Optimization Iteration: 94
Running with params: {'param1': 600, 'param2': 0.0019061070522366007}
Higher iteration... returning...
Optimization Iteration: 95
Running with params: {'param1': 100, 'param2': 0.02521376155962843}
Lower learning rate.. returning... Best: 0.04281951156660412, Proposed: 0.02521376155962843
Optimization Iteration: 96
Running with params: {'param1': 100, 'param2': 0.0488929359474227}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597921540/assert_4981379_100_0.0488929359474227
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.7470000000000003, Max: 2.7800000000000002, 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: 2.7470000000000003, Max: 2.7800000000000002, Min: 2.66
Variance (7.52316384526264e-37) 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: 2.7470000000000003
Score: 2.7470000000000003
Best-score: 2.7159999999999997
Best-param: {'param1': 100, 'param2': 0.04281951156660412}
Optimization Iteration: 97
Running with params: {'param1': 200, 'param2': 0.035510059451232326}
Higher iteration... returning...
Optimization Iteration: 98
Running with params: {'param1': 300, 'param2': 0.0036738171785493444}
Higher iteration... returning...
Optimization Iteration: 99
Running with params: {'param1': 100, 'param2': 0.00022842307667621424}
Lower learning rate.. returning... Best: 0.04281951156660412, Proposed: 0.00022842307667621424
Optimization Iteration: 100
Running with params: {'param1': 3900, 'param2': 0.0061234731079644}
Higher iteration... returning...
Upto iteration 100: {'param1': 100.0, 'param2': 0.04281951156660412}
Optimization Iteration: 101
Running with params: {'param1': 2700, 'param2': 0.006938891382714353}
Higher iteration... returning...
Optimization Iteration: 102
Running with params: {'param1': 100, 'param2': 0.002936528428961122}
Lower learning rate.. returning... Best: 0.04281951156660412, Proposed: 0.002936528428961122
Optimization Iteration: 103
Running with params: {'param1': 200, 'param2': 0.01105327816907911}
Higher iteration... returning...
Optimization Iteration: 104
Running with params: {'param1': 700, 'param2': 0.0024165161582981372}
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Optimization Iteration: 105
Running with params: {'param1': 400, 'param2': 0.0047910083564803325}
Higher iteration... returning...
Optimization Iteration: 106
Running with params: {'param1': 100, 'param2': 0.00012423752555010023}
Lower learning rate.. returning... Best: 0.04281951156660412, Proposed: 0.00012423752555010023
Optimization Iteration: 107
Running with params: {'param1': 200, 'param2': 0.008877538421896909}
Higher iteration... returning...
Optimization Iteration: 108
Running with params: {'param1': 100, 'param2': 0.0276862248915279}
Lower learning rate.. returning... Best: 0.04281951156660412, Proposed: 0.0276862248915279
Optimization Iteration: 109
Running with params: {'param1': 1300, 'param2': 0.015812275795960944}
Higher iteration... returning...
Optimization Iteration: 110
Running with params: {'param1': 300, 'param2': 0.04355810943816012}
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Optimization Iteration: 111
Running with params: {'param1': 500, 'param2': 0.02209180208744089}
Higher iteration... returning...
Optimization Iteration: 112
Running with params: {'param1': 100, 'param2': 0.0318406254979221}
Lower learning rate.. returning... Best: 0.04281951156660412, Proposed: 0.0318406254979221
Optimization Iteration: 113
Running with params: {'param1': 100, 'param2': 0.0014970131187946212}
Lower learning rate.. returning... Best: 0.04281951156660412, Proposed: 0.0014970131187946212
Optimization Iteration: 114
Running with params: {'param1': 200, 'param2': 0.03759982100587584}
Higher iteration... returning...
Optimization Iteration: 115
Running with params: {'param1': 100, 'param2': 0.01790214950924051}
Lower learning rate.. returning... Best: 0.04281951156660412, Proposed: 0.01790214950924051
Optimization Iteration: 116
Running with params: {'param1': 6200, 'param2': 0.012689677182667973}
Higher iteration... returning...
Optimization Iteration: 117
Running with params: {'param1': 900, 'param2': 0.0003341147888731882}
Higher iteration... returning...
Optimization Iteration: 118
Running with params: {'param1': 100, 'param2': 0.003236626560027807}
Lower learning rate.. returning... Best: 0.04281951156660412, Proposed: 0.003236626560027807
Optimization Iteration: 119
Running with params: {'param1': 200, 'param2': 0.019197644994213964}
Higher iteration... returning...
Optimization Iteration: 120
Running with params: {'param1': 100, 'param2': 0.023576383844978694}
Lower learning rate.. returning... Best: 0.04281951156660412, Proposed: 0.023576383844978694
Optimization Iteration: 121
Running with params: {'param1': 200, 'param2': 0.014408931315622387}
Higher iteration... returning...
Optimization Iteration: 122
Running with params: {'param1': 1800, 'param2': 0.009827816312612704}
Higher iteration... returning...
Optimization Iteration: 123
Running with params: {'param1': 100, 'param2': 0.0020146297926035657}
Lower learning rate.. returning... Best: 0.04281951156660412, Proposed: 0.0020146297926035657
Optimization Iteration: 124
Running with params: {'param1': 300, 'param2': 0.0008609795452611329}
Higher iteration... returning...
Optimization Iteration: 125
Running with params: {'param1': 400, 'param2': 0.007914947869599084}
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Optimization Iteration: 126
Running with params: {'param1': 600, 'param2': 0.0495197228509764}
Higher iteration... returning...
Optimization Iteration: 127
Running with params: {'param1': 100, 'param2': 0.03433667953347576}
Lower learning rate.. returning... Best: 0.04281951156660412, Proposed: 0.03433667953347576
Optimization Iteration: 128
Running with params: {'param1': 200, 'param2': 0.00539201783640135}
Higher iteration... returning...
Optimization Iteration: 129
Running with params: {'param1': 300, 'param2': 0.025741041991183728}
Higher iteration... returning...
Optimization Iteration: 130
Running with params: {'param1': 4900, 'param2': 0.004282828232850539}
Higher iteration... returning...
Optimization Iteration: 131
Running with params: {'param1': 100, 'param2': 0.011045519271262915}
Lower learning rate.. returning... Best: 0.04281951156660412, Proposed: 0.011045519271262915
Optimization Iteration: 132
Running with params: {'param1': 2200, 'param2': 0.0038088503227716865}
Higher iteration... returning...
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Running with params: {'param1': 200, 'param2': 0.0011717352900693003}
Higher iteration... returning...
Optimization Iteration: 134
Running with params: {'param1': 100, 'param2': 0.021142781099253674}
Lower learning rate.. returning... Best: 0.04281951156660412, Proposed: 0.021142781099253674
Optimization Iteration: 135
Running with params: {'param1': 100, 'param2': 0.0067491493137278044}
Lower learning rate.. returning... Best: 0.04281951156660412, Proposed: 0.0067491493137278044
Optimization Iteration: 136
Running with params: {'param1': 300, 'param2': 0.0005338625298529911}
Higher iteration... returning...
Optimization Iteration: 137
Running with params: {'param1': 1200, 'param2': 0.04382928359167503}
Higher iteration... returning...
Optimization Iteration: 138
Running with params: {'param1': 100, 'param2': 0.01283031068851607}
Lower learning rate.. returning... Best: 0.04281951156660412, Proposed: 0.01283031068851607
Optimization Iteration: 139
Running with params: {'param1': 1500, 'param2': 0.02865085591654029}
Higher iteration... returning...
Optimization Iteration: 140
Running with params: {'param1': 400, 'param2': 0.03820319846387531}
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Running with params: {'param1': 700, 'param2': 0.016267114529898104}
Higher iteration... returning...
Optimization Iteration: 142
Running with params: {'param1': 100, 'param2': 0.002258845264438689}
Lower learning rate.. returning... Best: 0.04281951156660412, Proposed: 0.002258845264438689
Optimization Iteration: 143
Running with params: {'param1': 3100, 'param2': 0.0014375125438509154}
Higher iteration... returning...
Optimization Iteration: 144
Running with params: {'param1': 500, 'param2': 0.008547047803221927}
Higher iteration... returning...
Optimization Iteration: 145
Running with params: {'param1': 200, 'param2': 0.00566343618558242}
Higher iteration... returning...
Optimization Iteration: 146
Running with params: {'param1': 100, 'param2': 0.018881493651402636}
Lower learning rate.. returning... Best: 0.04281951156660412, Proposed: 0.018881493651402636
Optimization Iteration: 147
Running with params: {'param1': 100, 'param2': 0.014530547482426187}
Lower learning rate.. returning... Best: 0.04281951156660412, Proposed: 0.014530547482426187
Optimization Iteration: 148
Running with params: {'param1': 100, 'param2': 0.011944308461817101}
Lower learning rate.. returning... Best: 0.04281951156660412, Proposed: 0.011944308461817101
Optimization Iteration: 149
Running with params: {'param1': 100, 'param2': 0.030310312348000384}
Lower learning rate.. returning... Best: 0.04281951156660412, Proposed: 0.030310312348000384
Optimization Iteration: 150
Running with params: {'param1': 100, 'param2': 0.020962372216505987}
Lower learning rate.. returning... Best: 0.04281951156660412, Proposed: 0.020962372216505987
Upto iteration 150: {'param1': 100.0, 'param2': 0.04281951156660412}
Breaking...
{'param1': 100.0, 'param2': 0.04281951156660412}
Best score: 2.7159999999999997
Repeated params: 0
Trials: 151
Best param {'param1': 100.0, 'param2': 0.04281951156660412}
Reduction: 94.01634709299337%
Speedup: 16.712199312714773x
Optimizer time: 107.19361972808838
