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: GaussianChainTests
Testname: test_elbo_reparameterized_N_is_3
Params: param1,109,32,ParamType.ITER,4000
param2,109,38,ParamType.LR,0.0015
Assertion: assert_equal(0.0, max_errors[0], prec=0.03)
Original runtime: 25.817
>>Getting original runtime
Optimization Iteration: 1
Running with params: {'param1': 4000, 'param2': 0.0015}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597912099/assert_99515970_4000_0.0015
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Timings: Avg: 25.30366666666667, Max: 26.03, Min: 24.84
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 25.30366666666667, Max: 26.03, Min: 24.84
Variance (4.591774807899561e-41) too small, using delta distribution
Variance (1.1754943508222875e-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: 25.30366666666667
Score: 25.30366666666667
Best-score: 25.30366666666667
Best-param: {'param1': 4000, 'param2': 0.0015}
>>Setting original runtime to 25.30366666666667
Optimization Iteration: 1
Running with params: {'param1': 300, 'param2': 0.04571898073661708}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597912099/assert_99515970_300_0.04571898073661708
Launching 30 jobs, 30 in parallel
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Timings: Avg: 4.062333333333333, Max: 4.12, Min: 3.99
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: 25.30366666666667
Best-param: {'param1': 4000, 'param2': 0.0015}
Optimization Iteration: 2
Running with params: {'param1': 300, 'param2': 0.0018398198283912444}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597912099/assert_99515970_300_0.0018398198283912444
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Timings: Avg: 4.094666666666667, Max: 4.17, Min: 3.99
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: 25.30366666666667
Best-param: {'param1': 4000, 'param2': 0.0015}
Optimization Iteration: 3
Running with params: {'param1': 2300, 'param2': 0.0042262990075986225}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597912099/assert_99515970_2300_0.0042262990075986225
Launching 30 jobs, 30 in parallel
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Timings: Avg: 15.432666666666668, Max: 15.780000000000001, Min: 15.05
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 15.432666666666668, Max: 15.780000000000001, Min: 15.05
Variance (4.70197740328915e-38) too small, using delta distribution
Variance (2.644862289350147e-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: 15.432666666666668
Score: 15.432666666666668
Best-score: 15.432666666666668
Best-param: {'param1': 2300, 'param2': 0.0042262990075986225}
Optimization Iteration: 4
Running with params: {'param1': 200, 'param2': 0.00016457247882076774}
Lower learning rate.. returning... Best: 0.0042262990075986225, Proposed: 0.00016457247882076774
Optimization Iteration: 5
Running with params: {'param1': 300, 'param2': 0.0003155601881831739}
Lower learning rate.. returning... Best: 0.0042262990075986225, Proposed: 0.0003155601881831739
Optimization Iteration: 6
Running with params: {'param1': 200, 'param2': 0.004874819901734243}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597912099/assert_99515970_200_0.004874819901734243
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Timings: Avg: 3.4926666666666666, Max: 3.5300000000000002, Min: 3.4400000000000004
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: 15.432666666666668
Best-param: {'param1': 2300, 'param2': 0.0042262990075986225}
Optimization Iteration: 7
Running with params: {'param1': 4000, 'param2': 0.00024120241356423837}
Higher iteration... returning...
Optimization Iteration: 8
Running with params: {'param1': 600, 'param2': 0.00018213681499881844}
Lower learning rate.. returning... Best: 0.0042262990075986225, Proposed: 0.00018213681499881844
Optimization Iteration: 9
Running with params: {'param1': 2900, 'param2': 0.0005669959755744081}
Higher iteration... returning...
Optimization Iteration: 10
Running with params: {'param1': 1000, 'param2': 0.0009008269416867132}
Lower learning rate.. returning... Best: 0.0042262990075986225, Proposed: 0.0009008269416867132
Optimization Iteration: 11
Running with params: {'param1': 200, 'param2': 0.044084646820544825}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597912099/assert_99515970_200_0.044084646820544825
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Timings: Avg: 3.518666666666667, Max: 3.57, Min: 3.44
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: 15.432666666666668
Best-param: {'param1': 2300, 'param2': 0.0042262990075986225}
Optimization Iteration: 12
Running with params: {'param1': 100, 'param2': 0.010144814663464844}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597912099/assert_99515970_100_0.010144814663464844
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.943333333333334, Max: 2.99, Min: 2.89
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: 15.432666666666668
Best-param: {'param1': 2300, 'param2': 0.0042262990075986225}
Optimization Iteration: 13
Running with params: {'param1': 3500, 'param2': 0.019231501345328892}
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Optimization Iteration: 14
Running with params: {'param1': 300, 'param2': 0.00042400766800781265}
Lower learning rate.. returning... Best: 0.0042262990075986225, Proposed: 0.00042400766800781265
Optimization Iteration: 15
Running with params: {'param1': 600, 'param2': 0.0018586442818494656}
Lower learning rate.. returning... Best: 0.0042262990075986225, Proposed: 0.0018586442818494656
Optimization Iteration: 16
Running with params: {'param1': 2000, 'param2': 0.0007127453944650436}
Lower learning rate.. returning... Best: 0.0042262990075986225, Proposed: 0.0007127453944650436
Optimization Iteration: 17
Running with params: {'param1': 200, 'param2': 0.00014864227995492162}
Lower learning rate.. returning... Best: 0.0042262990075986225, Proposed: 0.00014864227995492162
Optimization Iteration: 18
Running with params: {'param1': 200, 'param2': 0.0015008931740020065}
Lower learning rate.. returning... Best: 0.0042262990075986225, Proposed: 0.0015008931740020065
Optimization Iteration: 19
Running with params: {'param1': 100, 'param2': 0.006968670678544191}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597912099/assert_99515970_100_0.006968670678544191
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Timings: Avg: 2.9023333333333334, Max: 2.95, Min: 2.85
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: 15.432666666666668
Best-param: {'param1': 2300, 'param2': 0.0042262990075986225}
Optimization Iteration: 20
Running with params: {'param1': 200, 'param2': 0.03505595456253275}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597912099/assert_99515970_200_0.03505595456253275
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.5036666666666667, Max: 3.5700000000000003, Min: 3.43
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: 15.432666666666668
Best-param: {'param1': 2300, 'param2': 0.0042262990075986225}
Optimization Iteration: 21
Running with params: {'param1': 1300, 'param2': 0.017410495243532973}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597912099/assert_99515970_1300_0.017410495243532973
Launching 30 jobs, 30 in parallel
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Timings: Avg: 9.670333333333334, Max: 9.889999999999999, Min: 9.4
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 9.670333333333334, Max: 9.889999999999999, Min: 9.4
Variance (0.0) too small, using delta distribution
Variance (7.52316384526264e-37) too small, using delta distribution
Variance (7.52316384526264e-37) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 9.670333333333334
Score: 9.670333333333334
Best-score: 9.670333333333334
Best-param: {'param1': 1300, 'param2': 0.017410495243532973}
Optimization Iteration: 22
Running with params: {'param1': 1400, 'param2': 0.015554882677569971}
Higher iteration... returning...
Optimization Iteration: 23
Running with params: {'param1': 2100, 'param2': 0.0033835041114318237}
Higher iteration... returning...
Optimization Iteration: 24
Running with params: {'param1': 1000, 'param2': 0.02174126457410657}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597912099/assert_99515970_1000_0.02174126457410657
Launching 30 jobs, 30 in parallel
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Timings: Avg: 7.903999999999999, Max: 8.07, Min: 7.78
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 7.903999999999999, Max: 8.07, Min: 7.78
Variance (7.52316384526264e-37) too small, using delta distribution
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: 7.903999999999999
Score: 7.903999999999999
Best-score: 7.903999999999999
Best-param: {'param1': 1000, 'param2': 0.02174126457410657}
Optimization Iteration: 25
Running with params: {'param1': 1000, 'param2': 0.021589626245300895}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597912099/assert_99515970_1000_0.021589626245300895
Launching 30 jobs, 30 in parallel
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Timings: Avg: 7.894999999999999, Max: 8.040000000000001, Min: 7.74
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 7.894999999999999, Max: 8.040000000000001, Min: 7.74
Variance (6.770847460736376e-36) too small, using delta distribution
Variance (4.70197740328915e-38) too small, using delta distribution
Variance (1.0833355937178202e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 7.894999999999999
Score: 7.894999999999999
Best-score: 7.894999999999999
Best-param: {'param1': 1000, 'param2': 0.021589626245300895}
Optimization Iteration: 26
Running with params: {'param1': 800, 'param2': 0.02824715808798952}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597912099/assert_99515970_800_0.02824715808798952
Launching 30 jobs, 30 in parallel
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Timings: Avg: 6.782000000000001, Max: 6.91, Min: 6.67
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 6.782000000000001, Max: 6.91, Min: 6.67
Variance (1.88079096131566e-37) too small, using delta distribution
Variance (1.0833355937178202e-34) 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: 6.782000000000001
Score: 6.782000000000001
Best-score: 6.782000000000001
Best-param: {'param1': 800, 'param2': 0.02824715808798952}
Optimization Iteration: 27
Running with params: {'param1': 800, 'param2': 0.009188969923739023}
Lower learning rate.. returning... Best: 0.02824715808798952, Proposed: 0.009188969923739023
Optimization Iteration: 28
Running with params: {'param1': 500, 'param2': 0.04932982718652977}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597912099/assert_99515970_500_0.04932982718652977
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Timings: Avg: 5.217999999999999, Max: 5.319999999999999, Min: 5.08
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: 6.782000000000001
Best-param: {'param1': 800, 'param2': 0.02824715808798952}
Optimization Iteration: 29
Running with params: {'param1': 400, 'param2': 0.032342044143530486}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597912099/assert_99515970_400_0.032342044143530486
Launching 30 jobs, 30 in parallel
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Timings: Avg: 4.666666666666667, Max: 4.74, Min: 4.590000000000001
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: 6.782000000000001
Best-param: {'param1': 800, 'param2': 0.02824715808798952}
Optimization Iteration: 30
Running with params: {'param1': 1400, 'param2': 0.02735756435387817}
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Optimization Iteration: 31
Running with params: {'param1': 800, 'param2': 0.0026886285425369925}
Lower learning rate.. returning... Best: 0.02824715808798952, Proposed: 0.0026886285425369925
Optimization Iteration: 32
Running with params: {'param1': 400, 'param2': 0.011769429251562652}
Lower learning rate.. returning... Best: 0.02824715808798952, Proposed: 0.011769429251562652
Optimization Iteration: 33
Running with params: {'param1': 1000, 'param2': 0.005840184290514709}
Higher iteration... returning...
Optimization Iteration: 34
Running with params: {'param1': 800, 'param2': 0.013300535758984652}
Lower learning rate.. returning... Best: 0.02824715808798952, Proposed: 0.013300535758984652
Optimization Iteration: 35
Running with params: {'param1': 400, 'param2': 0.00120477084566949}
Lower learning rate.. returning... Best: 0.02824715808798952, Proposed: 0.00120477084566949
Optimization Iteration: 36
Running with params: {'param1': 1900, 'param2': 0.024663840936492612}
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Optimization Iteration: 40
Running with params: {'param1': 700, 'param2': 0.038201014687304656}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597912099/assert_99515970_700_0.038201014687304656
Launching 30 jobs, 30 in parallel
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Timings: Avg: 6.401333333333333, Max: 6.53, Min: 6.28
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: 6.782000000000001
Best-param: {'param1': 800, 'param2': 0.02824715808798952}
Optimization Iteration: 41
Running with params: {'param1': 500, 'param2': 0.00010004403141471319}
Lower learning rate.. returning... Best: 0.02824715808798952, Proposed: 0.00010004403141471319
Optimization Iteration: 42
Running with params: {'param1': 2600, 'param2': 0.0031423428539520937}
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Optimization Iteration: 43
Running with params: {'param1': 300, 'param2': 0.004629121777895623}
Lower learning rate.. returning... Best: 0.02824715808798952, Proposed: 0.004629121777895623
Optimization Iteration: 44
Running with params: {'param1': 3500, 'param2': 0.008306345796942444}
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Optimization Iteration: 46
Running with params: {'param1': 500, 'param2': 0.027557459765931252}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597912099/assert_99515970_500_0.027557459765931252
Launching 30 jobs, 30 in parallel
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Timings: Avg: 5.260000000000001, Max: 5.36, Min: 5.18
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: 6.782000000000001
Best-param: {'param1': 800, 'param2': 0.02824715808798952}
Optimization Iteration: 47
Running with params: {'param1': 1200, 'param2': 0.0021482085007552116}
Higher iteration... returning...
Optimization Iteration: 48
Running with params: {'param1': 700, 'param2': 0.005917801717952998}
Lower learning rate.. returning... Best: 0.02824715808798952, Proposed: 0.005917801717952998
Optimization Iteration: 49
Running with params: {'param1': 100, 'param2': 0.00039643210807305517}
Lower learning rate.. returning... Best: 0.02824715808798952, Proposed: 0.00039643210807305517
Optimization Iteration: 50
Running with params: {'param1': 300, 'param2': 0.019008298333064694}
Lower learning rate.. returning... Best: 0.02824715808798952, Proposed: 0.019008298333064694
Upto iteration 50: {'param1': 800.0, 'param2': 0.02824715808798952}
Optimization Iteration: 51
Running with params: {'param1': 600, 'param2': 0.001021966030628898}
Lower learning rate.. returning... Best: 0.02824715808798952, Proposed: 0.001021966030628898
Optimization Iteration: 52
Running with params: {'param1': 1600, 'param2': 0.04085195907846488}
Higher iteration... returning...
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Running with params: {'param1': 900, 'param2': 0.015558317846024922}
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Running with params: {'param1': 3400, 'param2': 0.0006692034567276964}
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Running with params: {'param1': 2400, 'param2': 0.011039835246360591}
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Optimization Iteration: 56
Running with params: {'param1': 400, 'param2': 0.021450526062460982}
Lower learning rate.. returning... Best: 0.02824715808798952, Proposed: 0.021450526062460982
Optimization Iteration: 57
Running with params: {'param1': 200, 'param2': 0.00024186339128369692}
Lower learning rate.. returning... Best: 0.02824715808798952, Proposed: 0.00024186339128369692
Optimization Iteration: 58
Running with params: {'param1': 3100, 'param2': 0.0013750430491429246}
Higher iteration... returning...
Optimization Iteration: 59
Running with params: {'param1': 300, 'param2': 0.032541461781630504}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597912099/assert_99515970_300_0.032541461781630504
Launching 30 jobs, 30 in parallel
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Timings: Avg: 4.077, Max: 4.14, Min: 4.0
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: 6.782000000000001
Best-param: {'param1': 800, 'param2': 0.02824715808798952}
Optimization Iteration: 60
Running with params: {'param1': 1200, 'param2': 0.009611857220889046}
Higher iteration... returning...
Optimization Iteration: 61
Running with params: {'param1': 600, 'param2': 0.0038234248431872116}
Lower learning rate.. returning... Best: 0.02824715808798952, Proposed: 0.0038234248431872116
Optimization Iteration: 62
Running with params: {'param1': 900, 'param2': 0.005759771846764309}
Higher iteration... returning...
Optimization Iteration: 63
Running with params: {'param1': 1800, 'param2': 0.0025428981851343736}
Higher iteration... returning...
Optimization Iteration: 64
Running with params: {'param1': 100, 'param2': 0.04957146324928094}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597912099/assert_99515970_100_0.04957146324928094
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.9290000000000007, Max: 2.9600000000000004, Min: 2.89
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: 6.782000000000001
Best-param: {'param1': 800, 'param2': 0.02824715808798952}
Optimization Iteration: 65
Running with params: {'param1': 1400, 'param2': 0.0016428773330294563}
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Optimization Iteration: 68
Running with params: {'param1': 700, 'param2': 0.030568665278485615}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597912099/assert_99515970_700_0.030568665278485615
Launching 30 jobs, 30 in parallel
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Timings: Avg: 6.365666666666666, Max: 6.47, Min: 6.28
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: 6.782000000000001
Best-param: {'param1': 800, 'param2': 0.02824715808798952}
Optimization Iteration: 69
Running with params: {'param1': 500, 'param2': 0.019703752519454144}
Lower learning rate.. returning... Best: 0.02824715808798952, Proposed: 0.019703752519454144
Optimization Iteration: 70
Running with params: {'param1': 900, 'param2': 0.007260102449149923}
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Optimization Iteration: 74
Running with params: {'param1': 800, 'param2': 0.012408846101533623}
Lower learning rate.. returning... Best: 0.02824715808798952, Proposed: 0.012408846101533623
Optimization Iteration: 75
Running with params: {'param1': 700, 'param2': 0.008167690544827057}
Lower learning rate.. returning... Best: 0.02824715808798952, Proposed: 0.008167690544827057
Optimization Iteration: 76
Running with params: {'param1': 500, 'param2': 0.028766764944904013}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597912099/assert_99515970_500_0.028766764944904013
Launching 30 jobs, 30 in parallel
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Timings: Avg: 5.229666666666666, Max: 5.33, Min: 5.14
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: 6.782000000000001
Best-param: {'param1': 800, 'param2': 0.02824715808798952}
Optimization Iteration: 77
Running with params: {'param1': 400, 'param2': 0.010360042629484421}
Lower learning rate.. returning... Best: 0.02824715808798952, Proposed: 0.010360042629484421
Optimization Iteration: 78
Running with params: {'param1': 1900, 'param2': 0.005693086588019666}
Higher iteration... returning...
Optimization Iteration: 79
Running with params: {'param1': 1100, 'param2': 0.037211516766137}
Higher iteration... returning...
Optimization Iteration: 80
Running with params: {'param1': 600, 'param2': 0.04945703234102115}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597912099/assert_99515970_600_0.04945703234102115
Launching 30 jobs, 30 in parallel
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Timings: Avg: 5.604, Max: 5.71, Min: 5.49
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 5.604, Max: 5.71, Min: 5.49
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.0833355937178202e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 5.604
Score: 5.604
Best-score: 5.604
Best-param: {'param1': 600, 'param2': 0.04945703234102115}
Optimization Iteration: 81
Running with params: {'param1': 200, 'param2': 0.04669005010574211}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597912099/assert_99515970_200_0.04669005010574211
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.487333333333333, Max: 3.54, Min: 3.4299999999999997
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: 5.604
Best-param: {'param1': 600, 'param2': 0.04945703234102115}
Optimization Iteration: 82
Running with params: {'param1': 600, 'param2': 0.03514478294545413}
Lower learning rate.. returning... Best: 0.04945703234102115, Proposed: 0.03514478294545413
Optimization Iteration: 83
Running with params: {'param1': 400, 'param2': 0.00011735907888910089}
Lower learning rate.. returning... Best: 0.04945703234102115, Proposed: 0.00011735907888910089
Optimization Iteration: 84
Running with params: {'param1': 300, 'param2': 0.044365871274683284}
Lower learning rate.. returning... Best: 0.04945703234102115, Proposed: 0.044365871274683284
Optimization Iteration: 85
Running with params: {'param1': 200, 'param2': 0.02513546275719669}
Lower learning rate.. returning... Best: 0.04945703234102115, Proposed: 0.02513546275719669
Optimization Iteration: 86
Running with params: {'param1': 600, 'param2': 0.017927505901570086}
Lower learning rate.. returning... Best: 0.04945703234102115, Proposed: 0.017927505901570086
Optimization Iteration: 87
Running with params: {'param1': 500, 'param2': 0.00314054749016375}
Lower learning rate.. returning... Best: 0.04945703234102115, Proposed: 0.00314054749016375
Optimization Iteration: 88
Running with params: {'param1': 1300, 'param2': 0.014344878359140048}
Higher iteration... returning...
Optimization Iteration: 89
Running with params: {'param1': 3900, 'param2': 0.0020330435688166435}
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Optimization Iteration: 90
Running with params: {'param1': 900, 'param2': 0.000488748692446955}
Higher iteration... returning...
Optimization Iteration: 91
Running with params: {'param1': 300, 'param2': 0.008705083425466697}
Lower learning rate.. returning... Best: 0.04945703234102115, Proposed: 0.008705083425466697
Optimization Iteration: 92
Running with params: {'param1': 700, 'param2': 0.006622188816946875}
Higher iteration... returning...
Optimization Iteration: 93
Running with params: {'param1': 800, 'param2': 0.0009005205367202723}
Higher iteration... returning...
Optimization Iteration: 94
Running with params: {'param1': 400, 'param2': 0.004764197212767336}
Lower learning rate.. returning... Best: 0.04945703234102115, Proposed: 0.004764197212767336
Optimization Iteration: 95
Running with params: {'param1': 100, 'param2': 0.022330608506425268}
Lower learning rate.. returning... Best: 0.04945703234102115, Proposed: 0.022330608506425268
Optimization Iteration: 96
Running with params: {'param1': 2500, 'param2': 0.04971607304942347}
Higher iteration... returning...
Optimization Iteration: 97
Running with params: {'param1': 1700, 'param2': 0.00031331681376544734}
Higher iteration... returning...
Optimization Iteration: 98
Running with params: {'param1': 1000, 'param2': 0.030315474168015895}
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Optimization Iteration: 99
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Optimization Iteration: 100
Running with params: {'param1': 2100, 'param2': 0.041519752992748966}
Higher iteration... returning...
Upto iteration 100: {'param1': 600.0, 'param2': 0.04945703234102115}
Optimization Iteration: 101
Running with params: {'param1': 300, 'param2': 0.017042362747853528}
Lower learning rate.. returning... Best: 0.04945703234102115, Proposed: 0.017042362747853528
Optimization Iteration: 102
Running with params: {'param1': 1300, 'param2': 0.00407722384521303}
Higher iteration... returning...
Optimization Iteration: 103
Running with params: {'param1': 500, 'param2': 0.03300491362206434}
Lower learning rate.. returning... Best: 0.04945703234102115, Proposed: 0.03300491362206434
Optimization Iteration: 104
Running with params: {'param1': 600, 'param2': 0.019455401955668448}
Lower learning rate.. returning... Best: 0.04945703234102115, Proposed: 0.019455401955668448
Optimization Iteration: 105
Running with params: {'param1': 800, 'param2': 0.013917402417610112}
Higher iteration... returning...
Optimization Iteration: 106
Running with params: {'param1': 1500, 'param2': 0.00019846212747652917}
Higher iteration... returning...
Optimization Iteration: 107
Running with params: {'param1': 1100, 'param2': 0.0024832962268403398}
Higher iteration... returning...
Optimization Iteration: 108
Running with params: {'param1': 400, 'param2': 0.009902852619950386}
Lower learning rate.. returning... Best: 0.04945703234102115, Proposed: 0.009902852619950386
Optimization Iteration: 109
Running with params: {'param1': 200, 'param2': 0.006511583845563826}
Lower learning rate.. returning... Best: 0.04945703234102115, Proposed: 0.006511583845563826
Optimization Iteration: 110
Running with params: {'param1': 500, 'param2': 0.02656064408040162}
Lower learning rate.. returning... Best: 0.04945703234102115, Proposed: 0.02656064408040162
Optimization Iteration: 111
Running with params: {'param1': 700, 'param2': 0.02151709393559614}
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Optimization Iteration: 112
Running with params: {'param1': 900, 'param2': 0.012040295192630486}
Higher iteration... returning...
Optimization Iteration: 113
Running with params: {'param1': 400, 'param2': 0.007947630515509842}
Lower learning rate.. returning... Best: 0.04945703234102115, Proposed: 0.007947630515509842
Optimization Iteration: 114
Running with params: {'param1': 600, 'param2': 0.003324490908875654}
Lower learning rate.. returning... Best: 0.04945703234102115, Proposed: 0.003324490908875654
Optimization Iteration: 115
Running with params: {'param1': 2300, 'param2': 0.005251671263392471}
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Optimization Iteration: 117
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Higher iteration... returning...
Optimization Iteration: 118
Running with params: {'param1': 1000, 'param2': 0.0016679634144206828}
Higher iteration... returning...
Optimization Iteration: 119
Running with params: {'param1': 200, 'param2': 0.017066935896557393}
Lower learning rate.. returning... Best: 0.04945703234102115, Proposed: 0.017066935896557393
Optimization Iteration: 120
Running with params: {'param1': 700, 'param2': 0.04408836753623741}
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Optimization Iteration: 121
Running with params: {'param1': 1200, 'param2': 0.001277735971076658}
Higher iteration... returning...
Optimization Iteration: 122
Running with params: {'param1': 300, 'param2': 0.024185190568344363}
Lower learning rate.. returning... Best: 0.04945703234102115, Proposed: 0.024185190568344363
Optimization Iteration: 123
Running with params: {'param1': 100, 'param2': 0.03390662002342849}
Lower learning rate.. returning... Best: 0.04945703234102115, Proposed: 0.03390662002342849
Optimization Iteration: 124
Running with params: {'param1': 1900, 'param2': 0.014881617589549687}
Higher iteration... returning...
Optimization Iteration: 125
Running with params: {'param1': 500, 'param2': 0.0036890455888191364}
Lower learning rate.. returning... Best: 0.04945703234102115, Proposed: 0.0036890455888191364
Optimization Iteration: 126
Running with params: {'param1': 1600, 'param2': 0.028740246500819314}
Higher iteration... returning...
Optimization Iteration: 127
Running with params: {'param1': 1400, 'param2': 0.009145599959126945}
Higher iteration... returning...
Optimization Iteration: 128
Running with params: {'param1': 900, 'param2': 0.0008831159323506485}
Higher iteration... returning...
Optimization Iteration: 129
Running with params: {'param1': 400, 'param2': 0.0011121606722683895}
Lower learning rate.. returning... Best: 0.04945703234102115, Proposed: 0.0011121606722683895
Optimization Iteration: 130
Running with params: {'param1': 300, 'param2': 0.04900062548330356}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597912099/assert_99515970_300_0.04900062548330356
Launching 30 jobs, 30 in parallel
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Timings: Avg: 4.073000000000001, Max: 4.12, Min: 3.9899999999999998
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: 5.604
Best-param: {'param1': 600, 'param2': 0.04945703234102115}
Optimization Iteration: 131
Running with params: {'param1': 2800, 'param2': 0.0028894939163043973}
Higher iteration... returning...
Optimization Iteration: 132
Running with params: {'param1': 600, 'param2': 0.0198155556604407}
Lower learning rate.. returning... Best: 0.04945703234102115, Proposed: 0.0198155556604407
Optimization Iteration: 133
Running with params: {'param1': 500, 'param2': 0.012759234368619808}
Lower learning rate.. returning... Best: 0.04945703234102115, Proposed: 0.012759234368619808
Optimization Iteration: 134
Running with params: {'param1': 3800, 'param2': 0.0005567708216540755}
Higher iteration... returning...
Optimization Iteration: 135
Running with params: {'param1': 1100, 'param2': 0.0044407641571936034}
Higher iteration... returning...
Optimization Iteration: 136
Running with params: {'param1': 700, 'param2': 0.035651399372559726}
Higher iteration... returning...
Optimization Iteration: 137
Running with params: {'param1': 800, 'param2': 0.02385334758955592}
Higher iteration... returning...
Optimization Iteration: 138
Running with params: {'param1': 1300, 'param2': 0.01059011061379541}
Higher iteration... returning...
Optimization Iteration: 139
Running with params: {'param1': 1800, 'param2': 0.007097298620907902}
Higher iteration... returning...
Optimization Iteration: 140
Running with params: {'param1': 100, 'param2': 0.0001225062819138358}
Lower learning rate.. returning... Best: 0.04945703234102115, Proposed: 0.0001225062819138358
Optimization Iteration: 141
Running with params: {'param1': 1000, 'param2': 0.0002988587840172386}
Higher iteration... returning...
Optimization Iteration: 142
Running with params: {'param1': 400, 'param2': 0.04929496030064747}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597912099/assert_99515970_400_0.04929496030064747
Launching 30 jobs, 30 in parallel
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Timings: Avg: 4.676666666666667, Max: 4.76, Min: 4.6
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: 5.604
Best-param: {'param1': 600, 'param2': 0.04945703234102115}
Optimization Iteration: 143
Running with params: {'param1': 300, 'param2': 0.028457186611203267}
Lower learning rate.. returning... Best: 0.04945703234102115, Proposed: 0.028457186611203267
Optimization Iteration: 144
Running with params: {'param1': 1200, 'param2': 0.00521999960490766}
Higher iteration... returning...
Optimization Iteration: 145
Running with params: {'param1': 3100, 'param2': 0.01589985945295285}
Higher iteration... returning...
Optimization Iteration: 146
Running with params: {'param1': 600, 'param2': 0.02057182374511407}
Lower learning rate.. returning... Best: 0.04945703234102115, Proposed: 0.02057182374511407
Optimization Iteration: 147
Running with params: {'param1': 900, 'param2': 0.041406596791325065}
Higher iteration... returning...
Optimization Iteration: 148
Running with params: {'param1': 800, 'param2': 0.032230853769478984}
Higher iteration... returning...
Optimization Iteration: 149
Running with params: {'param1': 1000, 'param2': 0.026062947852853343}
Higher iteration... returning...
Optimization Iteration: 150
Running with params: {'param1': 2100, 'param2': 0.018385256498458097}
Higher iteration... returning...
Upto iteration 150: {'param1': 600.0, 'param2': 0.04945703234102115}
Breaking...
{'param1': 600.0, 'param2': 0.04945703234102115}
Best score: 5.604
Repeated params: 0
Trials: 151
Best param {'param1': 600.0, 'param2': 0.04945703234102115}
Reduction: 77.85301207993572%
Speedup: 4.515286699976207x
Optimizer time: 165.63580346107483
